lmerTest/0000755000176200001440000000000013210000333012032 5ustar liggesuserslmerTest/inst/0000755000176200001440000000000013207616520013030 5ustar liggesuserslmerTest/inst/CITATION0000644000176200001440000000147613207224603014172 0ustar liggesusersbibentry(bibtype = "Article", title = "{lmerTest} Package: Tests in Linear Mixed Effects Models", author = c(person(given = "Alexandra", family = "Kuznetsova", email = "alku@dtu.dk"), person(given = c("Per", "B."), family = "Brockhoff", email = "perbb@dtu.dk"), person(given = c("Rune", "H.", "B."), family = "Christensen", email = "Rune@ChristensenStatistics.dk")), journal = "Journal of Statistical Software", year = "2017", volume = "82", number = "13", pages = "1--26", doi = "10.18637/jss.v082.i13", header = "To cite lmerTest in publications use:" ) lmerTest/inst/tests/0000755000176200001440000000000013207071001014157 5ustar liggesuserslmerTest/inst/tests/test-summary.R0000644000176200001440000000065312551716375017005 0ustar liggesuserslibrary("testthat") library("lmerTest") context("lmer models and methods") test_that("summary fails for ProblemSet. Hessian is not positive definite", { load(system.file("testdata","ProblemSet.RData",package="lmerTest")) m <- lmer(ExpScore~ChLevel+(1|Subject), data=ProblemSet) #summary(m) expect_is(m,"merModLmerTest") #expect_error(summary(m)," length of 'dimnames' [2] not equal to array extent") }); lmerTest/inst/testdata/0000755000176200001440000000000013207071001014626 5ustar liggesuserslmerTest/inst/testdata/bugSummaryData.RData0000644000176200001440000166277712551716375020547 0ustar liggesusersy U**2S"ypTf{̈́" MD) ̓y$"hR@QI߻^yU~^㑽VuO^,5xy88ѿ%m6˧KQ i @^Ya=C){~8-c&kKTC֞8&l/>,^AQ땣TyFi3fNK%fLb{t+7-=$((Mއk亥f(58HaƋz>.J1͛|a Oi[<ܙI+f$oP8w-nB3݄|垂E&^o"AʹK(kv-,PiO݊+.O3]w"5|YNm!O}LpD msWܛsBas(S1 MkFdߜG}zDA;3}ޭX_yXt'z5Mxmֵ}10}9(eMn;m~V\sн;Xߛzdcv?L ws1 MnQj>k=s;pd/h9Te¹M蛓׌%~~?Bp}IWJIwrlv^~T~*l[,=]󦳶DZm4g-]PrJH̆[J4^r~ہ $aW#Գjv+iƤ<;y;E&I>+\;T5stZ//rZ^q ՗wu;i*7e3n83nreæo ޶Ȍ~-Jz n͞A]2l~BJjԹ5G_.f6޽D;aa>5푴4! 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checking on big data sets require(lmerTest) load(system.file("testdata", "ttDamon.RData", package="lmerTest")) testFirstR02.test=lmer(RT2LogR ~ condition*v_matri_plus_n_indef_freq_sq+ (1+condition|Subject),ttDamon, REML=TRUE) an.sat <- anova(testFirstR02.test) TOL <- 1e-2 # for the check ## with 4 decimals should agree with SAS output ## numbers before decimals should agree with SAS output stopifnot( all.equal(an.sat[,"DenDF"], c(76.206, 6074.6, 6146.1), tol = TOL), all.equal(an.sat[, "F.value"], c(9.2182, 2.8360, 6.6544), tol = TOL) , TRUE) ## check with calcSatterth function # L <- matrix(0, nrow=3, ncol=8) # L[1,2] <- L[2,3] <- L[3,4] <- 1 # system.time(calcSatterth(testFirstR02.test, L)) # if(require(pbkrtest)) # system.time(KRmodcomp(testFirstR02.test, L)) if(testKen){ if(require(pbkrtest)) an.kenw <- anova(testFirstR02.test, ddf="kenw") stopifnot(ncol(an.kenw) == 6) } } lmerTest/tests/bugRand.R0000644000176200001440000000244412551716375014740 0ustar liggesusersrequire(lmerTest) load(system.file("testdata","cltlike.RData", package="lmerTest")) cltlike$datef <- as.factor(cltlike$date) fm2b <- lmer(liking ~ pig.type + pig.type:landro + pig.type:lskatol + sequence + (1|pig) + (1|session) + (1|serving) + (1|datef) + (1|consumer), data=cltlike) VarCorr(fm2b) rnd <- rand(fm2b) TOL <- 1e-4 stopifnot(all.equal(rnd$rand.table[,"p.value"], c(0.02952, 0.7847, 1, 1, 1.509e-14), tol = TOL), TRUE) m.carrots <- lmer(Preference ~ sens1 + sens2 + (1 + sens1 + sens2|Consumer) + (1|product), data = carrots) rnd <- rand(m.carrots) TOL <- 1e-4 stopifnot(all.equal(rnd$rand.table[,"p.value"], c(0.609,0.02284, 2.318e-05), tol = TOL), TRUE) ## check that step and rand functions give same results m.carrots2 <- lmer(Preference ~ sens2*Homesize*Age + (1 + sens2|Consumer) + (1|product), data = carrots) rnd.car <- rand(m.carrots2) st.car <- step(m.carrots2) stopifnot(all.equal(rnd.car$rand.table$p.value, st.car$rand.table$p.value)) lmerTest/tests/NSstd.R0000644000176200001440000000065012551716375014406 0ustar liggesusersrequire(lmerTest) load(system.file("testdata","NSstdData.RData", package="lmerTest")) Data.til.R$Consumer <- as.factor(Data.til.R$Consumer) Data.til.R$Age <- as.factor(Data.til.R$Age) Data.til.R$PresPosition <- as.factor(Data.til.R$PresPosition) model <- lmer(Balanced ~ Type*Exposure +(1|PresPosition), data=Data.til.R) c <- step(model, reduce.random=FALSE) stopifnot(dim(c$lsmeans.table)[1] > 0) lmerTest/tests/testSlopesFactors.R0000644000176200001440000000171113207457023017030 0ustar liggesusersrequire(lmerTest) load(system.file("testdata","bugSummaryData.RData", package="lmerTest")) lmer3 <- lmer(cog_Mid ~ (1|item) + (1 + vowel|speaker) + Language*vowel*sex, data=data1.frame, REML = FALSE, na.action = na.omit) ## no more errors if the C code from lme4 is used s <- summary(lmer3) lmer4 <- lmer(cog_Mid ~ (1|item) + (vowel - 1|speaker) + Language*vowel*sex, data = data1.frame) ## anova does not work in this case A is not positiv definite - FIXED ## was no a positive definit because of Cv_to_Sv function...? ## SAS seems to work ## still some disagreemants in estimation of deviance, residuals an <- anova(lmer4) TOL <- 1e-1 stopifnot(all.equal(an$DenDF, c(61.0403, 36.5587, 67.0312, 68.505, 134.152, 81.2094, 215.628), tol = TOL)) stopifnot(all.equal(an$F.value, c(40.6522, 6.2784, 46.0567, 4.2176, 2.7903, 2.5043, 0.2995), tol = TOL)) lmerTest/tests/testType2.R0000644000176200001440000000306212725743456015261 0ustar liggesusersrequire(lmerTest) ### example from the paper GLM SAS 101 report a <- factor(c(1,1,1,2,2,2,2,2,1,2)) b <- factor(c(1,1,2,1,2,2,2,2,2,1)) f=factor(c(1,2,1,2,1,2,1,2,1,2)) y <- c(12,14,11,20,17,23,35,46,15,16) dd <- data.frame(a=a, b=b, y=y, f=f) ## check type 2 is order independent model <- lmer(y ~ a*b + (1|f), data=dd) model2 <- lmer(y ~ b*a + (1|f), data=dd) an <- anova(model, type=2) an2 <- anova(model2, type=2) TOL <- 1e-5 stopifnot(all.equal(an,an2[c(2,1,3),], check.names = FALSE, check.attributes = FALSE, tol=TOL)) ## check the results are the same as from SAS proc mixed stopifnot(all.equal(an[,"F.value"], c(3.90131, 1.32753, 0.99565), tol = 1e-5)) m.carrots <- lmer(Preference ~ sens2*Homesize +(1+sens2|Consumer), data=carrots) ancar <- anova(m.carrots, type=2) stopifnot(all.equal(ancar[,"F.value"], c(54.8361, 5.16138, 1.03035), tol = 1e-3)) m <- lmer(Informed.liking ~ Product*Age + (1|Consumer) , data=ham) an <- anova(m, type=2) stopifnot(all.equal(an[,"F.value"], c(2.48135, .005387, 1.48451), tol = 1e-5)) fm <- lmer(Preference ~ sens2*Homesize*sens1 + (1|product), data=carrots) #check type2 ant2 <- anova(fm, type=2) stopifnot(all.equal(ant2[,"F.value"], c(16.4842, 14.0010, .526076, 1.18144, .107570, .335177, 1.05946), tol = 1e-4)) ant3 <- anova(fm, type=3) stopifnot(all.equal(ant3[,"F.value"], c(16.9140, 14.0010,.481148, 1.18144, .074201, .335177, 1.05946), tol = 1e-4)) lmerTest/tests/testNamesDDF.R0000644000176200001440000000031312551716375015630 0ustar liggesusersrequire(lmerTest) m <- lmer(Informed.liking ~ Gender+Information+Product +(1|Consumer), data=ham) anova(m) anova(m, ddf="sat") anova(m, ddf="SA") anova(m, ddf="kenw") anova(m, ddf="lme4") lmerTest/tests/MAMex.R0000644000176200001440000000062212731762423014314 0ustar liggesusersrequire(lmerTest) load(system.file("testdata","MAMexampledata_red.RData", package="lmerTest")) lm2 <- lmer(att1 ~ Product + x + Assessor:x + (1|Assessor) + (1|Assessor:Product), data = MAMexampledata_red) an1 <- anova(lm2, type=1) stopifnot(dim(an1)==c(2,6)) ## check that results agree with lme4 an.lme4 <- anova(lm2, ddf="lme4") stopifnot(all.equal(an.lme4[,4], an1[,5])) lmerTest/tests/lmerMod.R0000644000176200001440000000215413013151763014737 0ustar liggesusersrequire(lmerTest) ## rand step lsmeans difflsmeans should work only with inheritance of lmerMod class ## TODO uncomment the following whenever fixed deepcopy thing ## with the lme4 ifTest <- TRUE if(ifTest){ gm1 <- glmer(cbind(incidence, size - incidence) ~ period + (1 | herd), data = cbpp, family = binomial) ## should not work with glmer models tools::assertError(rand(gm1)) tools::assertError(step(gm1)) tools::assertError(lsmeans(gm1)) tools::assertError(difflsmeans(gm1)) ## should not work with nlmer models # startvec <- c(Asym = 200, xmid = 725, scal = 350) # nm1 <- nlmer(circumference ~ SSlogis(age, Asym, xmid, scal) ~ Asym|Tree, # Orange, start = startvec) # tools::assertError(rand(nm1)) # tools::assertError(step(nm1)) # tools::assertError(lsmeans(nm1)) # tools::assertError(difflsmeans(nm1)) ## should work with lmer from lme4 package (class lmerMod) m <- lme4::lmer(Coloursaturation ~ TVset*Picture+ (1|Assessor), data=TVbo) rand(m) step(m) lsmeansLT(m) difflsmeans(m) } lmerTest/tests/bugRefit.R0000644000176200001440000000447612707710527015130 0ustar liggesusersrequire(lmerTest) ## TODO uncomment the following whenever fixed deepcopy thing ## with the lme4 ifTest <- TRUE if(ifTest){ m <- lmer(Coloursaturation ~ TVset*Picture+ (1|Assessor)+(1|Assessor:TVset), data=TVbo) f1 <- function(x){ m1 <- refit(object=m, newresp=x, rename.response = TRUE) m1 } f2 <- function(x){ m2 <- as(refit(object=m, newresp=x, rename.response = TRUE), "merModLmerTest") m2 } f4 <- function(x){ assign("x", x, env=environment(formula(m))) rf <- refit(object=m, newresp=x, rename.response = TRUE) step(rf) } tools::assertError(update(f1(TVbo$Colourbalance))) tools::assertError(step(f2(TVbo$Colourbalance))) # the following does not work for lme4 1.1-8 #lapply(TVbo[, 7, drop=FALSE], f4) ## after the assignment the error disappears ## Why?! seems like x becomes attached... ## is it OK to do like that within a package? ## the following does not work for lme4 1.1-8 ## update(f1(TVbo$Colourbalance)) ## step(f2(TVbo$Colourbalance)) ## example from R-sig mixed by Ben fit <- lm(sr ~ ., data = LifeCycleSavings) anova(fit) ## construct lmer model with near-zero variance LC2 <- transform(LifeCycleSavings,f=factor(1:2)) ## bogus form <- sr ~ pop15 + pop75 + dpi + ddpi + (1|f) ## hack ## to avoid (Error in terms.formula(formula(x, fixed.only = TRUE)) : ## '.' in formula and no 'data' argument) lmod <- lFormula(form, data=LC2) d2 <- lmer(form, data=LC2,devFunOnly=TRUE) llik <- d2(1e-5) fit2 <- mkMerMod(environment(d2),opt=list(par=1e-5, fval=llik, feval=1, conv=0, message=NULL), lmod$reTrms, fr = lmod$fr) all.equal(coef(fit),fixef(fit2)) anova(fit2) ## practically equal to anova(fit) above ## anova does not work in this case an1 <- anova(as(fit2, "merModLmerTest")) tools::assertError(stopifnot(ncol(an1) == 6)) ## anova works in the following case d2 <- lmer(form, data=LC2) an2 <- anova(d2) stopifnot(ncol(an2) == 6) } lmerTest/tests/zeroDenom.R0000644000176200001440000000125012551716375015312 0ustar liggesusersrequire(lmerTest) # Read in data set load(system.file("testdata","potdata.RData", package="lmerTest")) # Mixed model lmerout <- lmer(biomass ~ CO2*nutrients + (1|chamber),data=potdata) an.sat <- anova(lmerout) if(require(pbkrtest)) an.kr <- anova(lmerout, ddf="Kenward-Roger") TOL <- 1e-7 stopifnot(all.equal(an.kr[,"Pr(>F)"], c(0.0224955602, 1e-11, 0.020905569) , tol=TOL), all.equal(an.kr[,"DenDF"], c(2, 10, 10) , tol=TOL), TRUE) ## error in Satterthwaite!denom should be 2 for CO2 like in SAS TOL <- 1e-5 stopifnot(all.equal(an.sat[,"DenDF"], c(2, 10, 10) , tol=TOL), TRUE) lmerTest/tests/bugstep.R0000644000176200001440000000056312551716375015027 0ustar liggesusersrequire(lmerTest) m <- lmer(Coloursaturation ~ TVset*Picture+ (1|Assessor)+(1|Assessor:TVset), data=TVbo) step(m) #does not with lmerTest attached m.lm <- lm(Coloursaturation ~ TVset*Picture, data=TVbo) tools::assertError(step(m.lm)) #stats package needs to implicitely specified then stats::step(m.lm) tools::assertError(lsmeans(m.lm)) lmerTest/tests/bugUpdate.R0000644000176200001440000000035012551716375015270 0ustar liggesusersrequire(lmerTest) #### ASSERTS ERRORS m <- lmer(Coloursaturation ~ TVset*Picture + (1|Assessor)+(1|Assessor:TVset), data=TVbo) m2 <- update(m) tools::assertError(stopifnot(class(m)==class(m2), TRUE), TRUE) lmerTest/tests/envir.R0000644000176200001440000000264412657045350014476 0ustar liggesusersrequire(lmerTest) load(system.file("testdata","cltlike.RData", package="lmerTest")) form <- "liking ~ pig.type + pig.type:landro + pig.type:lskatol + (1|pig) + (1|consumer)" variables <- c("sequence", "gender") get_models <- function(variables) { lapply(variables, function(v) { form2 <- as.formula(paste(form, v, sep=" + ")) lmer(form2, data=cltlike) }) } get_models2 <- function(variables, data1) { lapply(variables, function(v) { form2 <- as.formula(paste(form, v, sep=" + ")) print(form2) print(class(form2)) environment(data1) <- environment(form2) ## in 2.0-30 was added otherwise fail anova in updateModel lmerTest::lmer(form2, data=data1) }) } mlist <- get_models(variables) ls1 <- lapply(mlist, anova) stopifnot("Pr(>F)" %in% colnames(ls1[[1]])) mlist <- get_models2(variables, data=cltlike) ls2 <- lapply(mlist, anova, type = 1) stopifnot("Pr(>F)" %in% colnames(ls2[[1]])) # # update_call <- function (object, formula., ...) { # call <- object@call # # # Use update.formula to deal with formulas like . ~ . # if (!missing(formula.)) { # call$formula <- update.formula(formula(object), formula.) # } # # modify_call(call, dots(...)) # } # update_model <- function(object, formula., ...) { # call <- update_call(object, formula., ...) # eval(call, parent.frame()) # } # update_model(mod, formula = . ~ . + cyl) lmerTest/tests/summaryDDF.R0000644000176200001440000000000012551716375015353 0ustar liggesuserslmerTest/tests/testTVbo.R0000644000176200001440000000137212551716375015127 0ustar liggesusersrequire(lmerTest) # system.time(for(i in 5:19){ # m <- lmer(TVbo[,i] ~ TVset*Picture+ # (1|Assessor)+(1|Assessor:TVset) + (1|Assessor:Picture) # + (1|Assessor:TVset:Picture), data=TVbo) # print(names(TVbo)[i]) # print(anova(m)) # # }) form <- " TVset*Picture + (1|Assessor)+(1|Assessor:TVset) + (1|Assessor:Picture) + (1|Assessor:TVset:Picture)" responses <- names(TVbo)[5:19] get_models <- function(responses) { lapply(responses, function(v) { form2 <- as.formula(paste(v, form, sep=" ~ ")) lmer(form2, data=TVbo) }) } mlist <- get_models(responses) if(require(plyr)){ system.time(ls1 <- llply(mlist, anova, .progress = "text")) names(ls1) <- responses print(ls1) } lmerTest/tests/testRand.R0000644000176200001440000000401313207250123015113 0ustar liggesusers################################################################## ## check elimination of random effects in rand and step functions ################################################################## ## require(lmerTest) ## ## ## check for random coefficient models ## modelCarrots <- lmer(Preference ~ sens2*sens1*Homesize*Age ## + (1 | product) + (1 + sens1 + sens2 | Consumer), ## data=carrots) ## ## ## the results for the rand function differ from the step ## ## because of the update function - changing the contrasts to contr.SAS ## rnd <- rand(modelCarrots) ## ## ## ## stopifnot(all.equal(rnd$rand.table[,"p.value"], c(0.0000289113, 0.4852719557, ## 0.0186101913))) ## ## stp <- step(modelCarrots) ## ## stp ## ## ## ## ## modelCarrots_red1 <- lmer(Preference ~ sens2*sens1*Homesize*Age ## + (1 | product) + (1 + sens2 | Consumer), ## data=carrots) ## ## modelCarrots_red2 <- lmer(Preference ~ ## sens2*sens1*Homesize*Age ## + (1 | product) + (1 | Consumer), ## data=carrots) ## ## ## modelCarrots_redp <- lmer(Preference ~ ## sens2*sens1*Homesize*Age ## + (1 + sens2| Consumer), ## data=carrots) ## ## res.lrt.s1 <- anova(modelCarrots, modelCarrots_red1, refit = FALSE) ## res.lrt.s2 <- anova(modelCarrots_red1, modelCarrots_red2, refit = FALSE) ## res.lrt.sp <- anova(modelCarrots_red1, modelCarrots_redp, refit = FALSE) ## ## ## stopifnot(all.equal(res.lrt.s1[2,"Pr(>Chisq)"], stp$rand.table[1,"p.value"]), ## all.equal(res.lrt.s2[2,"Pr(>Chisq)"], stp$rand.table[3,"p.value"]), ## all.equal(res.lrt.sp[2,"Pr(>Chisq)"], stp$rand.table[2,"p.value"])) ## lmerTest/tests/bugUpdateLmer.R0000644000176200001440000000050612707417041016102 0ustar liggesusersrequire(lmerTest) m <- lme4::lmer(Informed.liking ~ Product + (1|Consumer) , data = ham) initRho <- function(model){ lctr <- as.list(rep("contr.SAS",1)) names(lctr) <- "Product" rho <- list() model <- update(model, contrasts = lctr) return(model) } m2 <- initRho(m) tools::assertError(update(m2)) lmerTest/tests/rankDeficiency.R0000644000176200001440000000301712712130635016255 0ustar liggesusersrequire(lmerTest) testType1 <- TRUE ## ## compare output with SAS for rank deficient models ## load(system.file("testdata","cltlike.RData", package="lmerTest")) if(testType1){ fm2 <- lmer(liking ~ pig.type + group + landro.male + lskatol.male + sens1 + sens2 + gender + agegroup + sens.ska + sens.and + sens.ska:lskatol + sens.and:landro + (1|pig) + (1|consumer), data=cltlike) ## for type3 hypothesis matrix anType3 <- anova(fm2) TOL <- 1e-3 # for the check #with 3 decimals should agree with SAS output #numbers vefore decimals should agree with SAS output stopifnot( all.equal(anType3[,"Pr(>F)"], c(NA, 0.28047, NA, NA, 0.14458, 0.06193, 0.31344, 0.07603, 0.14608, 0.07304, 0.90075, 0.04722), tol = TOL), all.equal(round(anType3$DenDF), c(NA, 55, NA, NA, 61, 66, 170, 169, 477, 192, 709, 692)) , TRUE) ## for type 1 hypothesis matrix anType1 <- anova(fm2, method.grad="Richardson", type=1) #with 3 decimals should agree with SAS output #numbers vefore decimals should agree with SAS output stopifnot( all.equal(anType1[,"Pr(>F)"], c(0.012235, 0.286167, 0.767076, 0.005902, 0.400181, 0.05243, 0.10677, 0.106436, 0.034507, 0.14896, 0.842839, 0.047221), tol = TOL), all.equal(round(anType1$DenDF), c(62, 53, 54, 58, 57, 66, 169, 169, 172, 168, 710, 692)) , TRUE) ## ## compare output with SAS for rank deficient models ## }lmerTest/tests/OneFixedEff.R0000644000176200001440000000032112551716375015470 0ustar liggesusersrequire(lmerTest) m <- lmer(Coloursaturation ~ TVset+ (1|Assessor), data=TVbo) step(m) m2 <- lmer(Coloursaturation ~ (1|Assessor), data=TVbo) anova(m2) summary(m2) lmerTest/tests/MAMSatterthKR.R0000644000176200001440000000355312551716375015746 0ustar liggesusersrequire(lmerTest) testType1 <- TRUE lm.pred <- lm(as.formula(paste("Lightlevel", "~", paste(c("TVset","Picture"), collapse="*"), sep="")), data=TVbo) TVbo$x <- scale(predict(lm.pred), scale=FALSE) lmerTVpic <- lmer(Lightlevel ~ TVset*Picture + Assessor:x + (1|Assessor) + (1|TVset:Assessor) + (1|Picture:Assessor) + (1|TVset:Picture:Assessor), data=TVbo) ## TODO: check with SAS dfs for Satterthwaite and KR to agree if(testType1){ tools::assertWarning(anova(lmerTVpic, type=1)) ## warning: ddf=0 for TVset anova(lmerTVpic, type=1, ddf="Kenward-Roger") } ## check MAM for BO data # # m.bo <- lmer(att1 ~ Track*SPL*Car + (1|Assessor) + (1|SPL:Assessor) + # (1|Track:SPL:Assessor) + (1|Car:SPL:Assessor), # data = sound_data_balanced) # # lm.pred <- lm(as.formula(paste("att1", "~", # paste(c("Track", "SPL", "Car"), collapse="*"), sep="")), # data=sound_data_balanced) # sound_data_balanced$x <- scale(predict(lm.pred), scale=FALSE) # # m.bo.mam <- lmer(att1 ~ Track*SPL*Car + Assessor:x + (1|Assessor) + (1|SPL:Assessor) + # (1|Track:SPL:Assessor) + (1|Car:SPL:Assessor), # data = sound_data_balanced) # # sound_data_balanced$y <- rep(1, nrow(sound_data_balanced)) # # m.bo.mam <- lmer(att1 ~ (Track + SPL+ Car)^2 + Assessor:x:y + (1|Assessor) + (1|SPL:Assessor) + # (1|Track:SPL:Assessor) + (1|Car:SPL:Assessor), # data = sound_data_balanced) # # anova(m.bo.mam, type=1) # # # ## non standard order # m.bo <- lmer(att1 ~ Track:SPL:Car + Track + Car + (1|Assessor) + (1|SPL:Assessor) + # (1|Track:SPL:Assessor) + (1|Car:SPL:Assessor), # data = sound_data_balanced) lmerTest/tests/summary.R0000644000176200001440000000516713013151777015051 0ustar liggesusersrequire(lmerTest) load(system.file("testdata", "ProblemSet.RData", package="lmerTest")) m <- lmer(ExpScore ~ ChLevel+(1|Subject), data=ProblemSet) summary(m) ## bug from Cyrus test=data.frame(x = rnorm(100),f=factor(rep(c(1:10),10))) test.mod=lmer(x~1+(1|f),data=test) summary(test.mod) require(lmerTest) carrots$Income <- as.factor(carrots$Income) carrots$Age <- as.factor(carrots$Age) carrots$Frequency <- as.factor(carrots$Frequency) carrots$Gender <- as.factor(carrots$Gender) l <- list(Frequency="contr.SAS", Income="contr.SAS") m.carrots <- lmer(Preference ~ sens2*Frequency*Income +(1+sens2|Consumer), data=carrots, contrasts=l) an.m <- anova(m.carrots) TOL <- 1e-4 # for the check #with 4 decimals should agree with SAS output #numbers before decimals should agree with SAS output stopifnot( all.equal(an.m[,"Pr(>F)"], c(2e-5, 0.15512, 0.06939, 0.08223, 0.52459, 0.03119, 0.48344), tol = TOL), all.equal(round(an.m$DenDF), c(83, 83, 83, 83, 83, 83, 83)) , TRUE) sm <- summary(m.carrots) stopifnot( all.equal(sm$coefficients[,"Pr(>|t|)"], c(1e-10, 0.005061, 0.6865554, 0.342613, 0.129157, 0.088231, 0.846000, 0.354472, 0.526318, 0.020646, 0.010188, 0.031242, 0.055356, 0.694689, 0.099382, 0.28547, 0.977774, 0.855653, 0.427737, 0.321086, 0.417465 , 0.204385, 0.784437, 0.681434, 0.106180, 0.149122, 0.390870, 0.273686), tol=TOL, check.attributes = FALSE), TRUE) if(require(pbkrtest)) sm.kr <- summary(m.carrots, ddf = "Kenward-Roger") ## coefficients for Sat and KR agree in this example all.equal(sm$coefficients[,"Pr(>|t|)"], sm$coefficients[,"Pr(>|t|)"]) ## checking lsmeans and difflsmeans ## compare with SAS output m <- lmer(Informed.liking ~ Product*Information*Gender + (1|Product:Consumer) + (1|Consumer) , data=ham) lsm <- lsmeansLT(m, test.effs = "Product") TOL <- 1e-7 stopifnot( all.equal( lsm$lsmeans.table[, "Estimate"], c(5.8084, 5.1012, 6.0909, 5.9256), tol=TOL, check.attributes = FALSE), all.equal(lsm$lsmeans.table[, "t-value"], c(24.93, 21.89, 26.14, 25.43), tol=TOL, check.attributes = FALSE), all.equal(lsm$lsmeans.table[, "Lower CI"], c(5.3499, 4.6428, 5.6324, 5.4672), tol=TOL, check.attributes = FALSE), all.equal(lsm$lsmeans.table[, "Upper CI"], c(6.2668, 5.5597, 6.5493, 6.3840), tol=TOL, check.attributes = FALSE), TRUE) lmerTest/tests/testExamplesFromPaper.R0000644000176200001440000000470412551716375017651 0ustar liggesusersrequire(lmerTest) modelTVbo <- lmer(Colourbalance ~ TVset*Picture + (1 | Assessor) + (1 | Assessor:TVset) + (1 | Assessor:Picture) + (1 | Assessor:TVset:Picture) + (1 | Repeat) + (1 | Repeat:TVset) + (1 | Repeat:Picture) + (1|TVset:Picture:Repeat), data=TVbo) stTV <- step(modelTVbo) stTV modelTVbo_red <- lmer(Colourbalance ~ TVset*Picture + (1 | Assessor:TVset) + (1 | Assessor:Picture) + (1 | Repeat:TVset) , data=TVbo) modelTVbo_redAT <- lmer(Colourbalance ~ TVset*Picture + (1 | Assessor:Picture) + (1 | Repeat:TVset) , data=TVbo) modelTVbo_redAP <- lmer(Colourbalance ~ TVset*Picture + (1 | Assessor:TVset) + (1 | Repeat:TVset) , data=TVbo) modelTVbo_redRT <- lmer(Colourbalance ~ TVset*Picture + (1 | Assessor:TVset) + (1 | Assessor:Picture) , data=TVbo) anova(modelTVbo_red, modelTVbo_redAT, refit = FALSE) stopifnot(all.equal(anova(modelTVbo_red, modelTVbo_redAP, refit = FALSE)[2,"Pr(>Chisq)"], stTV$rand.table["Assessor:Picture","p.value"])) stopifnot(all.equal(anova(modelTVbo_red, modelTVbo_redAT, refit = FALSE)[2,"Pr(>Chisq)"], stTV$rand.table["Assessor:TVset","p.value"])) stopifnot(all.equal(anova(modelTVbo_red, modelTVbo_redRT, refit = FALSE)[2,"Pr(>Chisq)"], stTV$rand.table["Repeat:TVset","p.value"])) ## for ham data modelHam <- lmer(Informed.liking ~ Product*Information*Gender*Age + (1 | Consumer) + (1 | Product:Consumer) + (1 | Information:Consumer), data=ham) stHam <- step(modelHam) stHam TOL <- 1e-5 stopifnot(all.equal(as.vector(stHam$lsmeans.table[1:4, "Estimate"]), as.vector(tapply(ham$Informed.liking, ham$Product, mean)) , tol = TOL, check.attributes = FALSE, check.names = FALSE)) ## the carrots example is tested in testRand.R function lmerTest/tests/testANCOVA.R0000644000176200001440000000555413013152024015205 0ustar liggesusersrequire(lmerTest) testType1 <- TRUE if(testType1){ load(system.file("testdata", "tree.RData", package="lmerTest")) lmer1 <- lmer(increase ~ height*treat + (1|block), data = tree) step1 <- step(lmer1) an1 <- anova(lmer1, type=1) an1.lme4 <- anova(lmer1, ddf="lme4") stopifnot(all.equal(an1[, "Sum Sq"], an1.lme4[,"Sum Sq"]), all.equal(an1[, "Mean Sq"], an1.lme4[,"Mean Sq"]), all.equal(an1[, "F.value"], an1.lme4[,"F value"])) lmer2 <- lmer(increase ~ treat-1+ height:treat - height + (1|block), data = tree) an2.3 <- anova(lmer2) an2.1 <- anova(lmer2, type=1) TOL <- 1e-5 ## check type3 stopifnot(all.equal(an2.3[, "F.value"], c(28.6195, 40.7608), tol= TOL), all.equal(an2.3[, "DenDF"], c(27, 27), tol= TOL)) ##check type1 stopifnot(all.equal(an2.1[, "F.value"], c(787.736, 40.7608), tol= TOL), all.equal(an2.1[, "DenDF"], c(27, 27), tol= TOL)) ## check for the model with one factor lmer4 <- lmer(increase ~ treat - 1+ (1|block), data = tree) an4.1 <- anova(lmer4, type=1) stopifnot(all.equal(an4.1[, "F.value"], c(80.4380), tol= TOL)) lmer5 <- lmer(increase ~ treat - 1 + height:treat+ (1|block), data = tree) an5.1 <- anova(lmer5, type=1) stopifnot(all.equal(an2.1, an5.1)) ## check for one covariate lmer6 <- lmer(increase ~ height - 1+ (1|block), data = tree) an6.1 <- anova(lmer6, type=1) TOL <- 1e-3 stopifnot(all.equal(an6.1[,"F.value"], 347.374, tol=TOL), all.equal(an6.1[,"DenDF"], 10.22, tol=TOL)) ## check for multiple factors m <- lmer(Coloursaturation ~ TVset*Picture - 1 + (1|Assessor), data=TVbo) an <- anova(m) an.1 <- anova(m, type = 1) TOL <- 1e-6 TOL2 <- 1e-3 stopifnot(all.equal(an[, "F.value"], c(84.5327, 2.85346, 1.75537), tol = TOL), all.equal(an.1[, "F.value"], c(615.423, 2.85346, 1.75537), tol = TOL), all.equal(an.1[, "DenDF"], c(16.17, 173, 173), tol = TOL2)) m.carrots <- lmer(Preference ~ sens2 + Homesize - 1 +(1+sens2|Consumer), data=carrots) an.1 <- anova(m.carrots, type=1) an.3 <- anova(m.carrots) an.lme4 <- anova(m.carrots, ddf = "lme4") TOL <- 1e-5 stopifnot(all.equal(an.1[, "F.value"], c(56.5394, 4169.87), tol = TOL), all.equal(an.3[, "F.value"], c(54.8206, 4169.87), tol = TOL)) # the one from lme4 is different tools::assertError(stopifnot(all.equal(an.lme4[, "F value"], an.1, tol = TOL))) ## checking lsmeans lmer4.noint <- lmer(increase ~ treat - 1 + (1|block), data = tree) lmer4 <- lmer(increase ~ treat + (1|block), data = tree) stopifnot(all.equal(lsmeansLT(lmer4), lsmeansLT(lmer4.noint))) lsm <- lsmeansLT(lmer4) TOL <- 1e-5 stopifnot(all.equal(lsm$lsmeans.table[, "Estimate"], as.numeric(tapply(tree$increase, tree$treat, mean)), check.names = FALSE, check.attributes = FALSE,tol = TOL)) }lmerTest/tests/testKeep.R0000644000176200001440000000112312551716375015133 0ustar liggesusersrequire(lmerTest) ## for carrots data modelCarrots <- lmer(Preference ~ sens2*sens1*Homesize*Age + (1 + sens1 | Consumer), data=carrots) st1 <- step(modelCarrots, keep.effs = c("sens1","sens2")) st1 st2 <- step(modelCarrots, keep.effs = c("sens1", "Homesize:Age")) st2 step(modelCarrots, keep.effs = c("sens1:Consumer")) step(modelCarrots, keep.effs = c("dfgsdfg")) ## for TV data m <- lmer(Dimglasseffect ~ TVset*Picture+ (1|Assessor)+(1|Assessor:TVset), data=TVbo) step(m, keep.effs = "TVset:Picture") lmerTest/tests/rankDeficiency2.R0000644000176200001440000000340112725575102016342 0ustar liggesusersrequire(lmerTest) carrots$Income <- as.factor(carrots$Income) carrots$Age <- as.factor(carrots$Age) m.carrots <- lmer(Preference ~ Age*Homesize*Income +(1+sens2|Consumer), data=carrots) an.carrots <- anova(m.carrots) ## OK with SAS TOL <- 1e-4 # for the check #with 4 decimals should agree with SAS output #numbers vefore decimals should agree with SAS output stopifnot( all.equal(an.carrots[,"Pr(>F)"], c(0.3541, 0.0838, 0.2879, 0.3263, 0.6173, 0.2652), tol = TOL), all.equal(round(an.carrots$DenDF), c(77, 77, 77, 77, 77, 77)) , TRUE) tools::assertError(step(m.carrots)) ## error because of the convergence issues load(system.file("testdata","bread.RData", package="lmerTest")) bread$Children <- as.factor(bread$Children) bread$Exposure <- as.factor(bread$Exposure) bread$type <- as.factor(bread$type) bread$extra <- as.factor(bread$extra) m.bread <- lmer(Liking ~ ref + type * extra + (1 | Exposure) + (1 | Children), data=bread) an.bread <- anova(m.bread) ## OK with SAS stopifnot( all.equal(an.bread[,"Pr(>F)"], c(NA, 1e-7, 0.5864, 0.2783), tol = TOL), all.equal(round(an.bread$DenDF), c(NA, 1798, 1796, 1796)) , TRUE) s.bread <- step(m.bread) ## returns lsmeans and difflsmeans, in SAS -non-est, why?!! compare with lsmeans/ doby packages # results for lsmeans for type 1-2 should agree with SAS stopifnot(all.equal(s.bread$anova.table[, "F.value"], c(1.1762, 0.2983, NA, 25.1939), tolerance=TOL, check.attributes=FALSE), all.equal(s.bread$diffs.lsmeans.table["type 1 - 2",], c(0.3599, 0.0717, 1799.7, 5.02, 0.2193, 0.5006, 0), tolerance=TOL, check.attributes=FALSE), TRUE) lmerTest/tests/packageExamplesExtra.R0000644000176200001440000000322712551716375017454 0ustar liggesusersrequire(lmerTest) testType1 <- TRUE #if(testType1){ ## from merModLmerTest m <- lmer(Reaction ~ Days + (1|Subject) + (0+Days|Subject), data = sleepstudy) anova(m, type=1) if(require(pbkrtest)) anova(m, ddf="Kenward-Roger") ## from lmerTest m <- lmer(Informed.liking ~ Gender+Information+Product +(1|Consumer), data=ham) if(require(pbkrtest)) anova(m, ddf="Kenward-Roger") ## from anova methods m.ham <- lmer(Informed.liking ~ Product*Information*Gender + (1|Consumer), data = ham) an.lmerTest <- anova(m.ham, type = 1) an.lme4 <- anova(m.ham, ddf = "lme4") ## check that F values and so SS and MS agree in lmerTest and lme4 stopifnot(all.equal(an.lmerTest[,"F.value"], an.lme4[, "F value"]), all.equal(an.lmerTest[,"Sum Sq"], an.lme4[, "Sum Sq"]), all.equal(an.lmerTest[,"Mean Sq"], an.lme4[, "Mean Sq"])) fm2 <- lmer(Preference ~ sens2 + I(sens1^2) + (1+sens2|Consumer), data=carrots) ## from lmer fm1 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy) fm2 <- lmer(Reaction ~ Days + (1|Subject) + (0 + Days|Subject), sleepstudy) an.sleep <- anova(fm1, type = 1) an.sleep2 <- anova(fm2, type = 1) ## check with SAS TOL <- 1e-6 stopifnot(all.equal(an.sleep[, "F.value"], 45.8530, tol = TOL)) stopifnot(all.equal(an.sleep[, "DenDF"], 17, tol = TOL)) ## for model withut correlations stopifnot(all.equal(an.sleep[, "F.value"], 45.8530, tol = TOL)) stopifnot(all.equal(an.sleep[, "DenDF"], 17, tol = TOL)) ## check KR works anova(fm1, ddf="Kenward-Roger") # anova table the same as of class merMod anova(fm1, ddf="lme4") anova(fm1, fm2) #} lmerTest/tests/testContrasts.R0000644000176200001440000000535013013152044016212 0ustar liggesusers## TODO: load data tree here require(lmerTest) load(system.file("testdata", "tree.RData", package="lmerTest")) modelCarrots.treat <- lme4::lmer(Preference ~ sens2*sens1*Homesize*Age + (1 | product) + (1 + sens1 + sens2 | Consumer), data=carrots, contrasts = list(Homesize = "contr.treatment", Age = "contr.treatment")) modelCarrots.sas <- lme4::lmer(Preference ~ sens2*sens1*Homesize*Age + (1 | product) + (1 + sens1 + sens2 | Consumer), data=carrots, contrasts = list(Homesize = "contr.SAS", Age = "contr.SAS")) ## here an error produces ## NO MORE in lme4 1.1-8 # tools::assertError(stopifnot(all.equal(logLik(modelCarrots.treat), # logLik(modelCarrots.sas)))) # # tools::assertError(stopifnot(all.equal(VarCorr(modelCarrots.treat), # VarCorr(modelCarrots.sas), tol = 1e-5))) modelHam.sas <- lmer(Informed.liking ~ Product*Information*Gender*Age + (1 | Consumer) + (1 | Product:Consumer) + (1 | Information:Consumer), data=ham, contrasts = list(Product = "contr.SAS", Information = "contr.SAS", Gender = "contr.SAS")) modelHam.treat <- lmer(Informed.liking ~ Product*Information*Gender*Age + (1 | Consumer) + (1 | Product:Consumer) + (1 | Information:Consumer), data=ham, contrasts = list(Product = "contr.treatment", Information = "contr.treatment", Gender = "contr.treatment")) stopifnot(all.equal(logLik(modelHam.sas), logLik(modelHam.treat))) stopifnot(all.equal(VarCorr(modelHam.sas), VarCorr(modelHam.treat), tol = 1e-3)) ## check that lsmeans is the same whether the contrasts for the models are differenr lmer4 <- lmer(increase ~ treat + (1|block), data = tree, contrasts = list(treat = "contr.treatment")) lmer5 <- lmer(increase ~ treat+ (1|block), data = tree, contrasts = list(treat = "contr.SAS")) all.equal(lsmeansLT(lmer4), lsmeansLT(lmer5), tol = 1e-3) lmerTest/tests/convergeTest.R0000644000176200001440000000150312551716375016021 0ustar liggesusersrequire(lmerTest) ###ASSERT ERROR m.carrots <- lmer(Preference ~ sens1*sens2*Homesize*Age + (1 + sens1 + sens2|Consumer) + (1|product), data = carrots) step(m.carrots) ## model is not identifiable tools::assertError(step(m.carrots, reduce.random = FALSE)) ## check anova table with SAS m.carrots <- lmer(Preference ~ sens1*sens2*Homesize*Age + (1 + sens2|Consumer) + (1|product), data = carrots) an.carrots <- anova(m.carrots) TOL <- 1e-5 stopifnot(all.equal(an.carrots$DenDF, c(10.6893, 13.9207, 94.8742, 94.8634, 10.6881, 1003.08, 95.0939, 1003.09, 95.0908, 94.8634, 1003.07, 1003.07, 1003.1, 95.0908, 1003.07), tol = TOL)) lmerTest/tests/updateData.R0000644000176200001440000000326513013152063015412 0ustar liggesuserslibrary(lmerTest) if(require(nlme)) data(Oats, package = "nlme") Oats <- transform(Oats, nitfac = factor(nitro)) Oats$sample1 <- Oats$yield Oats.lmer <- lmer(yield ~ Variety + nitfac + (1|Block/Variety), data = Oats) Oats.lmer2 <- lmer(sample1 ~ Variety + nitfac + (1|Block/Variety), data = Oats) anova(Oats.lmer2) ### Fit the same model to a random subset: set.seed(12345) ss <- sample(1:72, 51) randSub.lmer = update(Oats.lmer, subset = sample(1:72, 51)) randSub.lmer <- as(randSub.lmer, "merModLmerTest") randSub.lmer2 = update(Oats.lmer, subset = ss) randSub.lmer2 <- as(randSub.lmer2, "merModLmerTest") lsm1 <- lmerTest::lsmeansLT(randSub.lmer, "Variety") lsm2 <- lmerTest::lsmeansLT(randSub.lmer, "Variety") stopifnot(all.equal(lsm1$lsmeans.table, lsm2$lsmeans.table)) an1 <- anova(randSub.lmer) an2 <- anova(randSub.lmer) stopifnot(all.equal(an1, an2)) ## test for Variety ## (Intercept) Variety Variety nitfac nitfac nitfac ##[1,] 0 1 0 0 0 0 ##[2,] 0 0 1 0 0 0 L <- matrix(0, nrow=2, ncol=6) L[1,2] <- L[2,3] <- 1 stopifnot(all.equal(unlist(calcSatterth(Oats.lmer, L)), unlist(calcSatterth(Oats.lmer, L)))) stopifnot(all.equal(unlist(calcSatterth(randSub.lmer, L)), unlist(calcSatterth(randSub.lmer, L)))) ## however using sample together with transformation of the variables in formula ## results in error Oats.lmer3 <- lmer(log(yield) ~ Variety + nitfac + (1|Block/Variety), data = Oats) randSub.lmer3 = as(update(Oats.lmer3, subset = sample(1:72, 51)), "merModLmerTest") an <- anova(randSub.lmer3) stopifnot(ncol(an) == 4) lmerTest/tests/formulas.R0000644000176200001440000000127112551716375015203 0ustar liggesusersrequire(lmerTest) sens13 <- (carrots$sens1)^3 fm2 <- lmer(Preference ~ sens1 + I(sens1^2) + sens13 + Homesize + + (1+sens2|Consumer), data=carrots) an <- anova(fm2) TOL <- 1e-3 stopifnot(all.equal(an[,"Pr(>F)"] , c(0.0388, 0.0002, 0.0814, 0.0202) , tol=TOL), all.equal(round(an[,"DenDF"]) , c(1125, 1101, 1127, 101) , tol=TOL), TRUE) fm3 <- lmer(Preference ~ poly(sens1, 3)+ Homesize + + (1+sens2|Consumer), data=carrots) anova(fm3) s.lmerTest <- summary(fm3) s.lme4<- summary(fm3, ddf="lme4") all.equal(coefficients(s.lmerTest)[, "t value"], coefficients(s.lme4)[, "t value"]) lmerTest/NAMESPACE0000644000176200001440000000203613017650413013271 0ustar liggesusers#useDynLib(lmerTest, .registration=TRUE) import(lme4) #importFrom(numDeriv, hessian, grad) importFrom(plyr, llply, aaply) import(Matrix) import(methods) importFrom(MASS, ginv) import(Hmisc) import(ggplot2) importFrom("stats", "terms", "as.formula", "complete.cases", "delete.response", "drop1", "formula", "lm", "logLik", "model.frame", "model.matrix", "pchisq", "pf", "printCoefmat", "pt", "qt", "setNames", "update.formula", "vcov", "getCall") importFrom("utils", "as.roman", "combn", "data") if(getRversion() >= "3.3.0") { importFrom("stats", sigma) } exportClasses(merModLmerTest) export(rand) export(lsmeans) export(lsmeansLT) export(difflsmeans) export(step) export(lmer) export(calcSatterth) exportMethods("anova", "summary") S3method(print, step) S3method(plot, step) S3method(print, rand) #S3method(print, lsmeans) S3method(print, lsmeansLT) #S3method(plot, lsmeans) S3method(plot, lsmeansLT) S3method(print, difflsmeans) S3method(plot, difflsmeans) lmerTest/NEWS0000644000176200001440000000477413207104303012555 0ustar liggesusers2.0-34 - included citation info for JSS 2.0-33 - lsmeans and difflsmeans are now deprecated functions. Changed the names to lsmeansLT and dlsmeansLT - changed the maintainer field 2.0-32 - changed the message of identifiability to the more appropriate one - 2.0-31 - removed lmerTestFunctions.R and restructured the package. added calcSatterth(model, L) for calculating Satterthwaite's approximation for a specified L matrix 2.0-30 - envir.R failed with the newest version of lme4. Changed the code to pass the check. TODO: remove updating the model 2.0-28 - changes in general summary function. callNextMethod changed to as(model, "lmerMod) 2.0-25 - updated according to comments from CRAN 2.0-24 changes: - cleaned the code 2.0-23 changes: - hessian and grad changed to mygrad and myhess (deriv.R functions of Rune) - plots use ggplot2 - look for previous changes in R-Forge 2.0-11 changes: - elimRandEffs deleted. now the rand table contains all the information 2.0-9 changes: - fixed.calc option is added to step function - elimRand effs changed: random effects that are 1 approx to 1e-6 are eliminated - las=2 in barplots: verical axis names contrast with the name "l" changed to "l.lmerTest.private.contrasts" 2.0-8 changes: - throws error for lsmeans, difflsmeans, rand and step functions if the model does not inherit lmerMod class 2.0-7 changes: - in utils calcSatterth changed: solve of 0 dim matrix now catches in tryCatch - example MAMex.R in tests is added to check the bug - messages are printed if some computational errors occurr in anova or summary and the ones from lme4 are returned (bugSummary.R for testing) 2.0.6 changes: - added a number of tests in the tests folder and inst/datasets for the testing data sets - will not be included in the R-forge nor CRAN (for a moment) - model is not updated automatically to REML (tests for random effects are ML!) - man functions updated 2.0.5 changes: - fixed bug from Ben - summary(model, "lme4") changed to summary(model, ddf="lme4") - fixed bug for summary from Cyrus - added in manual notes regarding random coefficient models simplification - Rune changed solve to chol2inv in lmerTestFunctions.R - changed updateModel function so that the bugs with the environmentgs are solved 2.0.4 new: - rewritten rand table elimination - added elimrand.R Modifications in lmerTest 2.0.1 - The elim.num column now has KEEP instead of 0 - X'X deficiancy was fixed by Rune, lmerTest was fixed accordingly lmerTest/data/0000755000176200001440000000000013207071002012752 5ustar liggesuserslmerTest/data/TVbo.rda0000644000176200001440000001140212551716375014336 0ustar liggesusersnumRD)R,QH"%gVa7GEQSFٲʢA rH&NР]gB*z7fZfo㟽h43hf㥙u7\ӟF+Gfo5;Kk{W^7a#s/ƿ88T=[w>\~b$=g{Gq7|+|l63ߌN-Rf?g?Yi Ũ7o 'L$ThtB[kctv|]??UN==}ɿ}ɿ7|X?{U^7σ*7êUnVj5Zй|M=ơQ^=[|W̷UtnWf߬\[z~|[jܻփOU}݌yəѭ8{ сzpr@?V*oVix>kZ~w[Nn8}vu[^w'[/ϮێkvRtߌ=GaG =}WZg-uW_cEg+t=0KM>\TRn^]%\ }'WxzgLY v^/'x?z֟!7E^/'A/ˎ/*H\ѾVơ*v r&roǃqoǏr\z_OuߎyWc:8:?"zx? >2wѵ'5ܴ?'7CW' ggN؛8+?~᜾[_@3)#O:yckП?aƋa4} OX}iZϭ:'Ny>C8N>Pzn;Cykwb$϶Xw߄]Ű/r73vZ_y<$pm=w輘xsr l9F|:O/վNc?*L٪?u+7ENŸ8~_/yLۄ3lEڭ`/ iz3_~_=t7z&ijxĞbchIkvQ<Z &maW=V;Eb>a\r򓷴GӘW;}c[' |3Hn'~j?-Fs7C-0/}^y[ggrxs(!> yG >7cpʞ7;F' ~pzx?]r8~;;"/t|ٿ89ż5gU s < wS[1.;#}ktAw??%1?Y/\4?5G'x{_Zug~M^stn5LwDo=_Ezi8}|[ov~I>Uu:5VqK/Uw~Q}Ru l9|?:#+o}fUnYs1zb}ay)~2sWMxr1??J='ݎy׳u3 t>/yY{B 5? }s!Wz SΉi1G}Ng? k}W.Ⱥ:ϑk<{|_w/1{QG^=7OǪ˃{Gf{s r=h(p^%{sSaOǁГq On#q`3?sHoʼW۱|_7}v {ЫR{(PV[;L\{OsodGv>97fxL| ss'N=}R˧ӋF~s_i~9G>ש+UW6+9Stߎ:;J߃5}.X|?}ѷnz *ItC^!7zw?p|r*5NGק.O|5ݘg0]#ZOe;2Iӧ{Ϋ=2?C:giG~*gCx{Mɿy2i~O='o_J5Ŏs(W'w0}T;oJi8%{׆/gޗP)VV+'eź⇝f>>4}&S{f*=s{~O*L]3UVǁR_~}7? 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change contrasts for F tests calculations ## list of contrasts for factors if(change.contr && length(which(unlist(contr)!="contr.SAS")) > 0) { names.facs <- names(contr) l.lmerTest.private.contrast <- as.list(rep("contr.SAS",length(names.facs))) names(l.lmerTest.private.contrast) <- names(contr) call[["contrasts"]] <- l.lmerTest.private.contrast } else if(!is.null(contr)){ call[["contrasts"]] <- contr[names(contr) %in% attr(terms(call$formula),"term.labels")] } } call <- as.call(call) ff <- environment(formula(object)) pf <- parent.frame() ## save parent frame in case we need it sf <- sys.frames()[[1]] ff2 <- environment(object) tryCatch(eval(call, envir=ff), error=function(e) { tryCatch(eval(call, envir=sf), error=function(e) { tryCatch(eval(call, envir=pf), error=function(e) { eval(call, envir=ff2) })})}) } checkNameDDF <- function(ddf){ ddfs <- c("Satterthwaite", "Kenward-Roger") ind.ddf <- pmatch(tolower(ddf), tolower(ddfs)) if(is.na(ind.ddf)) stop('Parameter ddf is wrongly specified') else ddf <- ddfs[ind.ddf] ddf } checkForEstim <- function(mat, rho){ if (!requireNamespace("estimability", quietly = TRUE)) stop("estimability package required to check for estimability") contr <- attr(rho$model@pp$X, "contrasts") mm <- model.matrix(terms(rho$model), rho$model@frame, contrasts.arg=contr) nbasis <- estimability::nonest.basis(mm) return(which(apply(mat, 1, function(x) estimability::is.estble(x, nbasis)))) } lmerTest/R/linearHypotheses.R0000644000176200001440000002270712732475455015751 0ustar liggesusers################################################################################ ## type 3 hypothesis SAS ################################################################################ makeContrastType3SAS <- function(model, term, L) { eps <- 1e-8 #apply rule 1 (Goodnight 1976) #find all effects that contain term effect model.term <- terms(model) fac <- attr(model.term,"factors") names <- attr(model.term,"term.labels") classes.term <- attr(terms(model, FALSE), "dataClasses") cols.eff <- which(colnames(L)==term) num.relate <- relatives(classes.term, term, names, fac) if( length(num.relate)==0 ) colnums <- setdiff(1:ncol(L),cols.eff) if( length(num.relate)>0 ) { cols.contain <- NULL for( i in 1:length(num.relate) ) cols.contain <- c(cols.contain,which(colnames(L)==names[num.relate[i]])) colnums <- setdiff(1:ncol(L),c(cols.eff,cols.contain)) } for(colnum in colnums) { pivots <- which(abs(L[,colnum]) > eps) if( length(pivots)>0 ) { L[pivots[1],] <- L[pivots[1],]/L[pivots[1],colnum] nonzeros <- setdiff(pivots,pivots[1]) if( length(nonzeros)!=0 ) { for( nonzero in nonzeros ) { L[nonzero,] <- L[nonzero,]-L[nonzero,colnum]*L[pivots[1],] } } L[pivots[1],] <- rep(0,ncol(L)) } } nums <- which(apply(L,1,function(y) sum(abs(y)))!=0) L <- L[nums,] if(is.vector(L)) return(L) #orthogonalization if( length(cols.eff)>1 ) zero.rows <- which(apply(L[,cols.eff],1,function(y) sum(abs(y)))==0) else zero.rows <- which(L[,cols.eff]==0) for(zero.row in zero.rows) { w <- L[zero.row,] for(i in setdiff(1:nrow(L),zero.row)) { if(sum(abs(L[i,]))!=0) L[i,] <- L[i,] - ((w %*% L[i,])/(w %*% w)) %*% w } L[zero.row,] <- rep(0,ncol(L)) } L[abs(L)<1e-6] <- 0 nums <- which(apply(L,1,function(y) sum(abs(y)))!=0) L <- L[nums,] return(L) } ################################################################################ ### type 1 SS ################################################################################ doolittle <- function(x, eps = 1e-6) { if(!is.matrix(x)) stop("argument 'x' is not a matrix") if(ncol(x) != nrow(x)) stop( "argument x is not a square matrix" ) if (!is.numeric(x) ) stop( "argument x is not numeric" ) n <- nrow(x) L <- U <- matrix(0, nrow=n, ncol=n) diag(L) <- rep(1, n) for(i in 1:n) { ip1 <- i + 1 im1 <- i - 1 for(j in 1:n) { U[i,j] <- x[i,j] if (im1 > 0) { for(k in 1:im1) { U[i,j] <- U[i,j] - L[i,k] * U[k,j] } } } if ( ip1 <= n ) { for ( j in ip1:n ) { L[j,i] <- x[j,i] if ( im1 > 0 ) { for ( k in 1:im1 ) { L[j,i] <- L[j,i] - L[j,k] * U[k,i] } } L[j, i] <- if(abs(U[i, i]) < eps) 0 else L[j,i] / U[i,i] } } } L[abs(L) < eps] <- 0 U[abs(U) < eps] <- 0 list( L=L, U=U ) } ## construct design matrix for F test createDesignMat <- function(rho) { model.term <- terms(rho$model) fixed.term <- attr(model.term,"term.labels") X.design <- names.design.mat <- names.design <- NULL X.design.red <- model.matrix(rho$model) attr(X.design.red, "dataClasses") <- attr(terms(rho$model, FALSE), "dataClasses") dd <- model.frame(rho$model) for(i in 1:length(fixed.term)) { formula.term <- as.formula(paste("~", fixed.term[i], "- 1")) X.design <- cbind(X.design, model.matrix(formula.term, dd)) names.design.mat <- c(names.design.mat, rep(fixed.term[i], ncol(model.matrix(formula.term, dd)))) } if(attr(model.term, "intercept") != 0){ names.design <- c("(Intercept)", colnames(X.design)) X.design <- cbind(rep(1,dim(X.design)[1]), X.design) names.design.mat <- c("(Intercept)", names.design.mat) } else names.design <- colnames(X.design) colnames(X.design) <- names.design.mat if(length(which(colSums(X.design)==0)) != 0){ warning(paste("missing cells for some factors (combinations of factors) \n", "care must be taken with type", as.roman(3) , " hypothesis ")) } fullCoefs <- rep(0, ncol(X.design)) fullCoefs <- setNames(fullCoefs, names.design) if("(Intercept)" %in% names.design) names(fullCoefs)[1] <- "(Intercept)" fullCoefs[names(rho$fixEffs)] <- rho$fixEffs nums.Coefs <- which(names(fullCoefs) %in% names(rho$fixEffs)) nums.Coefs <- setNames(nums.Coefs, names(fullCoefs[nums.Coefs])) Xlist <- list(X.design.red = X.design.red, trms = model.term, X.design = X.design, names.design = names.design, fullCoefs = fullCoefs, nums.Coefs = nums.Coefs) return(Xlist) } ## caclulate the General contrast matrix for the hypothesis (as in SAS) calcGeneralSet<- function(rho, type) { if(type == 3) L <- calcGeneralSetType3(rho) #basis.set3(rho)#calcGeneralSetType3(rho) else { L <- calcGeneralSet12(rho$Xlist$X.design.red) if(type == 1) L <- makeContrastType1(L, rho$Xlist$X.design.red, rho$Xlist$trms, rho$test.terms) if(type == 2) L <- makeContrastType2(L, rho$Xlist$X.design.red, rho$Xlist$trms, rho$test.terms) } L } ## caclulate the General contrast matrix for the hypothesis (as in SAS) calcGeneralSetType3 <- function(rho) { xtx <- t(rho$Xlist$X.design) %*% rho$Xlist$X.design g2 <- matrix(0, ncol=ncol(xtx), nrow=nrow(xtx)) inds <- rho$Xlist$nums.Coefs g2[inds,inds] <- solve(xtx[inds,inds]) g2[abs(g2)<1e-10] <- 0 #general set of estimable function L <- g2 %*% xtx L[abs(L)<1e-6] <- 0 L } ## find which effect contains effect term relatives <- function(classes.term, term, names, factors) { ## checks if the terms have the same number of covariates (if any) checkCovContain <- function(term1, term2) { num.numeric <- which(classes.term=="numeric") num.numeric.term1 <- which((num.numeric %in% which(factors[,term1]!=0))==TRUE) num.numeric.term2 <- which((num.numeric %in% which(factors[,term2]!=0))==TRUE) if((length(num.numeric.term1)>0 && length(num.numeric.term2)>0)|| (length(num.numeric.term1)==0 && length(num.numeric.term2)==0)) return(all(num.numeric.term2 == num.numeric.term1)) else return(FALSE) } is.relative <- function(term1, term2) { all(!(factors[,term1]&(!factors[,term2]))) && checkCovContain(term1,term2) } if(length(names) == 1) return(NULL) which.term <- which(term==names) (1:length(names))[-which.term][sapply(names[-which.term], function(term2) is.relative(term, term2))] } makeContrastType2 <- function(L, X, trms, trms.lab){ fac <- attr(trms,"factors") #trms.lab <- attr(trms,"term.labels") trms.assig <- attr(X, "assign") if(attr(trms,"intercept") == 0) attr(X, "assign") <- setNames(trms.assig, rep(trms.lab, table(trms.assig))) else attr(X, "assign") <- setNames(trms.assig, rep(c("(Intercept)", trms.lab), table(trms.assig))) Lt.list <- lapply(trms.lab, function(trm) makeContrastType2.term(trm, L, X, trms.lab, fac)) names(Lt.list) <- trms.lab Lt.list } makeContrastType2.term <- function(trm, L, X, trms.lab, fac){ #find all effects that contain term effect num.relate <- relatives(attr(X, "dataClasses"), trm, trms.lab, fac) contain <- trms.lab[num.relate] if(length(contain) == 0 && (which(trms.lab == trm) == length(trms.lab))){ Lc <- L[which(names(attr(X, "assign")) == trm), , drop = FALSE] colnames(Lc) <- colnames(X) Lc } else{ ## columns of the X are rearranged in a way that columns corresponding to the ## effects that do not contain effet term are put before the columns corresponding ## to the term ind.indep <- which(names(attr(X, "assign")) != trm & !(names(attr(X, "assign")) %in% contain)) new.X <- cbind(X[,ind.indep, drop = FALSE], X[,-ind.indep, drop = FALSE]) attr(new.X, "assign") <- c(attr(X, "assign")[ind.indep], attr(X, "assign")[-ind.indep]) ## doolittle transform t(new.X) %*% new.X L <- calcGeneralSet12(new.X) colnames(L) <- colnames(new.X) ## columns of L are rearranged to reflect the original order Lc <- L[which(names(attr(new.X, "assign")) == trm), , drop = FALSE] Lc <- Lc[, colnames(X), drop = FALSE] } Lc } makeContrastType1 <- function(L, X, trms, trms.lab){ asgn <- attr(X, "assign") #trms.lab <- attr(trms, "term.labels") p <- ncol(X) ind.list <- split(1L:p, asgn) df <- unlist(lapply(ind.list, length)) Lt.master <- L Lt.list <- lapply(ind.list, function(i) Lt.master[i, , drop=FALSE]) if(attr(trms,"intercept") == 0) names(Lt.list) <- trms.lab else names(Lt.list) <- c("(Intercept)", trms.lab) Lt.list } calcGeneralSet12 <- function(X){ p <- ncol(X) XtX <- crossprod(X) U <- doolittle(XtX)$U d <- diag(U) for(i in 1:nrow(U)) if(d[i] > 0) U[i, ] <- U[i, ] / d[i] L <- U L } lmerTest/R/lsmeans.R0000644000176200001440000004705512712154670014057 0ustar liggesusers################################################################################ ## LSMEANS and DIFFLSMEANS related functions ################################################################################ lsmeans.calc <- function(model, alpha, test.effs = NULL, lsmeansORdiff = TRUE, ddf = "Satterthwaite"){ rho <- list() ## environment containing info about model rho <- rhoInit(rho, model, TRUE) ## save lmer outcome in rho envir variable rho$A <- calcApvar(rho) ## asymptotic variance-covariance matrix for theta and sigma result <- list(summ.data = NA, response = NA) result$summ.data <- calcLSMEANS(rho, alpha, test.effs, lsmeansORdiff, ddf)$summ.data result$response <- rownames(attr(terms(rho$model),"factors"))[1] result } ################################################################################ ## calculate LSMEANS DIFFS and CI for all effects ################################################################################ calcLSMEANS <- function(rho, alpha, test.effs = NULL, lsmeansORdiff = TRUE, ddf = "Satterthwaite") { m <- refitLM(rho$model) effs <- attr(terms(m),"term.labels") if(!is.null(test.effs)) effs <- effs[effs %in% test.effs] dclass <- attr(terms(m),"dataClasses") facs <- names(dclass[which(dclass=="factor")]) ## get standard deviation of random parameters from model std.rand <- c(unlist(lapply(VarCorr(rho$model), function(x) attr(x,"stddev"))), attr(VarCorr(rho$model), "sc"))^2 #as.numeric(rho$s@REmat[,3]) dd <- model.frame(rho$model) ## init lsmeans summary if(lsmeansORdiff) { lsmeans.summ <- matrix(ncol=length(facs)+7,nrow=0) colnames(lsmeans.summ) <- c(facs,"Estimate","Standard Error", "DF", "t-value", "Lower CI", "Upper CI", "p-value") summ.data <- as.data.frame(lsmeans.summ) } else { ## init diff summary diff.summ <- matrix(ncol=7,nrow=0) colnames(diff.summ) <- c("Estimate","Standard Error", "DF", "t-value", "Lower CI", "Upper CI", "p-value") summ.data <- as.data.frame(diff.summ) } for(eff in effs) { split.eff <- unlist(strsplit(eff,":")) if(checkAllCov(split.eff, dd)) next mat <- popMatrix(m, split.eff) fac.comb <- getFacCombForLSMEANS(split.eff, dd) if(!lsmeansORdiff) summ.data <- rbind(summ.data, calcDiffsForEff(facs, fac.comb, split.eff, eff, effs, rho, alpha, mat, ddf)) else summ.data <- rbind(summ.data, calcLsmeansForEff(lsmeans.summ, fac.comb, eff, split.eff, alpha, mat, rho, facs, ddf)) } return(list(summ.data = summ.data)) } ################################################################################ ## functions for popMatrix for LSMEANS (from doBy package) ################################################################################ .get_xlevels <- function(obj){ UseMethod(".get_xlevels") } .get_xlevels.default <- function(obj){ obj$xlevels } .covariateAve <- function(object, at=NULL, tt=terms(object)){ tt <- delete.response(tt) att <- attributes(tt) rhs.terms <- rownames(att$factors)[rowSums(att$factors)>0] rhs.class <- att$dataClass[match(rhs.terms, names(att$dataClass))] nums <- rhs.terms[rhs.class=="numeric"] ans <- lapply(model.frame(object)[,nums, drop=FALSE], mean) nn <- match(names(ans), names(at)) nn <- nn[!is.na(nn)] at.num <- at[nn] ans[names(at[nn])] <- at.num attr(ans, "at.num") <- at.num ans } .get_vartypes <- function(object){ tt <- terms(object) tt <- delete.response(tt) att <- attributes(tt) rhs.terms <- rownames(att$factors)[rowSums(att$factors)>0] rhs.class <- att$dataClass[match(rhs.terms, names(att$dataClass))] nums <- rhs.terms[rhs.class=="numeric"] fact <- rhs.terms[rhs.class=="factor"] list(numeric=nums, factor=fact) } .set_xlevels <- function(xlev, at){ nam <- names(xlev) nn <- match(nam, names(at)) nn <- nn[!is.na(nn)] at.fact <- at[nn] xlev[names(at[nn])] <- at.fact attr(xlev, "at.fact") <- at.fact xlev } .getX <- function(object, newdata){ tt <- terms(object) Terms <- delete.response(tt) mf <- model.frame(Terms, newdata, xlev = .get_xlevels(object)) X <- model.matrix(Terms, mf, contrasts.arg = .get_contrasts(object)) attr(X,"assign")<-NULL attr(X, "contrasts") <- NULL X } .get_contrasts <- function(obj){ UseMethod(".get_contrasts") } .get_contrasts.default <- function(obj){ obj$contrasts } popMatrix <- function(object, effect=NULL, at=NULL, only.at=TRUE){ tt <- terms(object) Terms <- delete.response(tt) xlev <- .get_xlevels(object) ccc <- .covariateAve(object,at) vartype <- .get_vartypes(object) ## cat("INPUT: effect:\n"); str(effect) ## cat("INPUT: at:\n"); str(at) ## cat("---------------------------\n") xlev <- .get_xlevels(object) if (is.null(effect)){ at.factor <- at[intersect(vartype$factor, names(at))] xxx <- if(length(at.factor)>0) at.factor } else { xlev <- .set_xlevels(xlev, at=at) at.fact <- names(attr(xlev, "at.fact")) effect <- setdiff(effect, at.fact) xxx <- xlev[c(effect,at.fact)] } # print(ccc) # print(xxx) #print(xxx) if (is.null(xxx)){ ## No 'effect' and no 'at'; just to a global average. newdata <- expand.grid(xlev) newdata[,names(ccc)] <- ccc mf <- model.frame(Terms, newdata, xlev = .get_xlevels(object)) X <- model.matrix(Terms, mf, contrasts.arg = .get_contrasts(object)) res <- apply(X,2,mean) res <- do.call(rbind, list(res)) attr(res,"at") <- at[intersect(vartype$numeric, names(at))] } else { eff.grid <- expand.grid(xxx) eff.grid <- as.data.frame(lapply(eff.grid, as.character),stringsAsFactors=FALSE) #cat("eff.grid:\n"); print(eff.grid) res <- list() for (ii in 1:nrow(eff.grid)){ conf <- eff.grid[ii,,drop=FALSE] xlev2 <- .set_xlevels(xlev, at=conf) #cat("xlev2 (which defines the grid):\n"); str(xlev2) newdata <- expand.grid(xlev2) newdata[,names(ccc)] <- ccc #print(newdata) mm <- .getX(object, newdata) X <- apply(mm,2,mean) res[[ii]] <- X } res <- do.call(rbind, res) # print(eff.grid) uuu <- at[intersect(vartype$numeric, names(at))] # print(uuu) # print(vartype) # print(at) # print(ccc) #eff.grid[,names(ccc)] <- at[intersect(vartype$numeric, names(at))] eff.grid[,names(ccc)] <- ccc attr(res,"grid") <- eff.grid attr(res,"at") <- at } class(res) <- c("popMatrix", "conMatrix", "matrix") res } ################################################################################ ################################################################################ ################################################################### #get the combinatoion of the fixed factors for the lsmeans ################################################################### getFacCombForLSMEANS <- function(split.eff, data) { if(length(split.eff)==1) data.merge <- as.data.frame(levels(data[,split.eff])) if(length(split.eff)>=2) data.merge <- merge(levels(data[,split.eff[1]]),levels(data[,split.eff[2]])) if(length(split.eff)>=3) { for(i in 3:length(split.eff)) { d.split.eff_i <- as.data.frame(levels(data[,split.eff[i]])) names(d.split.eff_i) <- paste("l",i) data.merge <- merge(data.merge,d.split.eff_i) } } names(data.merge) <- split.eff return(as.matrix(data.merge)) } ################################################################### #checks if all the terms in interaction are covariates ################################################################### checkAllCov <- function(split.eff, data) { for(spleff in split.eff) { if(!is.factor(data[,spleff])) { return(TRUE) } } return(FALSE) } ################################################################### #concatenate levels of the effects to form the rownames ################################################################### concatLevs <- function(matr, row.names) { if(is.vector(matr)) levs <- paste(names(matr),matr) else { levs <- paste(rownames(matr),matr[,1]) for(i in 2:ncol(matr)) { levs <- paste(levs,matr[,i]) } } return(levs) } #convert facs into numeric convertFacsToNum <- function(data, begin, end) { #convert vars to numeric for(i in begin:end) data[,i] <- as.numeric(levels(data[,i])[as.integer(data[,i])]) return(data) } #convert numeric to facs convertNumsToFac <- function(data, begin, end) { #convert vars to numeric for(i in begin:end) data[,i] <- as.factor(data[,i]) return(data) } ################################################################### #fills the LSMEANS and DIFF summary matrices ################################################################### fillLSMEANStab <- function(mat, rho, summ.eff, nfacs, alpha, ddf = "Satterthwaite") { newcln <- colnames(mat)[colnames(mat) %in% names(rho$fixEffs)] ## check estimability if(sum(!colnames(mat) %in% names(rho$fixEffs)) > 0){ ids.est <- checkForEstim(mat, rho) mat <- mat[ids.est, , drop = FALSE] }else{ ids.est <- 1:nrow(mat) } if(length(ids.est) == 0) return(summ.eff) mat <- matrix(mat[,colnames(mat) %in% names(rho$fixEffs)], nrow=nrow(mat), ncol=length(newcln), dimnames=list(rownames(mat), newcln)) estim.lsmeans <- mat %*% rho$fixEffs summ.eff[ids.est, nfacs+1] <- estim.lsmeans if(ddf == "Satterthwaite") ttest.res <- aaply(t(mat), .margins=2, .fun = calcSatterth1DF, rho = rho, isF = FALSE) else ttest.res <- aaply(t(mat), .margins=2, .fun = calcKR1DF, rho = rho) if(is.vector(ttest.res)) ttest.res <- t(as.matrix(ttest.res)) summ.eff[ids.est, nfacs+2] <- ttest.res[,4]#stdErrLSMEANS(rho, std.rand, mat) #df summ.eff[ids.est, (nfacs+3)] <- ttest.res[,1] #t values summ.eff[ids.est, (nfacs+4)] <- ttest.res[,2] #p values summ.eff[ids.est, (nfacs+7)] <- ttest.res[,3] # CIs summ.eff[ids.est, nfacs+5] <- estim.lsmeans - abs(qt(alpha/2,ttest.res[,1])) * ttest.res[,4] summ.eff[ids.est ,nfacs+6] <- estim.lsmeans + abs(qt(alpha/2,ttest.res[,1])) * ttest.res[,4] return(summ.eff) } ################################################################### #round the columns of LSMEANS or DIFFS tables ################################################################### roundLSMEANStab <- function(summ.eff, nfacs) { summ.eff[,nfacs+1] <- round(summ.eff[,nfacs+1],4) summ.eff[,nfacs+2] <- round(summ.eff[,nfacs+2],4) #df summ.eff[,(nfacs+3)] <- round(summ.eff[,(nfacs+3)],1) #t values summ.eff[,(nfacs+4)] <- round(summ.eff[,(nfacs+4)],2) #p values summ.eff[,(nfacs+7)] <- round(summ.eff[,(nfacs+7)],4) # CIs summ.eff[,nfacs+5] <- round(summ.eff[,nfacs+5],4) summ.eff[,nfacs+6] <- round(summ.eff[,nfacs+6],4) return(summ.eff) } ############################################################################ #function to identify the colors of bar according to significance of effects ############################################################################ calc.cols <- function(x) { if(x<0.001) return("red") if(x<0.01) return("orange") if(x<0.05) return("yellow") return("grey") } calc.cols2 <- function(x) { if(x<0.001) return("p-value < 0.001")#return("red")# if(x<0.01) return("p-value < 0.01")#return("orange")# if(x<0.05) return("p-value < 0.05")#return("yellow")# return("NS")#return("grey")# } #get names for ploting barplots for the effects getNamesForPlot <- function(names, ind) { namesForPlot <- unlist(lapply(names, function(y) substring2(y, 1, substring.location(y, " ")$first[1]-1))) namesForLevels <- unlist(lapply(names, function(y) substring2(y, substring.location(y, " ")$first[1]+ind, nchar(y)))) return(list(namesForPlot=namesForPlot, namesForLevels=namesForLevels)) } ## plots for LSMEANS or DIFF of LSMEANS plotLSMEANS <- function(table, response, which.plot=c("LSMEANS", "DIFF of LSMEANS"), main = NULL, cex = 1.4, effs = NULL, mult = TRUE) { if(!is.null(effs)){ rnames <- rownames(table) diffs.facs <- sapply(rnames, function(x) substring(x, 1, substring.location(x, " ")$first[1]-1), USE.NAMES = FALSE) find.fac <- diffs.facs %in% effs table <- table[find.fac,] } if(which.plot=="LSMEANS") names <- getNamesForPlot(rownames(table),2) else names <- getNamesForPlot(rownames(table),1) namesForPlot <- names$namesForPlot namesForLevels <- names$namesForLevels un.names <- unique(namesForPlot) ### changed code to transfer to ggplot ttplot <- table ttplot$namesforplots <- namesForPlot ttplot$levels <- as.factor(namesForLevels) colnames(ttplot)[which(colnames(ttplot)=="p-value")] <- "pvalue" colnames(ttplot)[which(colnames(ttplot)=="Lower CI")] <- "lci" colnames(ttplot)[which(colnames(ttplot)=="Upper CI")] <- "uci" ttplot$col.bars <- unlist(lapply(ttplot[,"pvalue"], calc.cols2)) ttplot <- ttplot[,c("levels", "Estimate", "col.bars", "lci", "uci", "namesforplots")] uci <- lci <- col.bars <- Estimate <- NULL if(mult) ggplot(ttplot, aes(x=levels, y = Estimate, fill = col.bars)) + geom_bar(position = "dodge", stat = "identity") + geom_errorbar(aes(ymin = lci, ymax = uci ), colour="black", width=.1) + theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.4), axis.title.y = element_text(size = rel(1.4)), axis.text = element_text(size = rel(1)), legend.text = element_text(size = rel(1)), legend.title = element_text(size = rel(1))) + scale_fill_manual(values = c( "NS" = "grey", "p-value < 0.01" = "orange", "p-value < 0.05" = "yellow", "p-value < 0.001" = "red"), name="Significance") + ylab(response) + facet_wrap( ~ namesforplots, scales = "free") else{ for(i in 1:length(un.names)){ names.plot <- un.names[i] subplot <- ttplot[ttplot$namesforplots == names.plot,] ggplot(subplot, aes(x=levels, y = Estimate, fill = col.bars)) + geom_bar(position = "dodge", stat = "identity") + geom_errorbar(aes(ymin = lci, ymax = uci ), colour="black", width=.1) + theme(axis.text.x = element_text(angle = 90, hjust = 1, vjust = 0.4), axis.title.y = element_text(size = rel(1.4)), axis.text = element_text(size = rel(1)), legend.text = element_text(size = rel(1)), legend.title = element_text(size = rel(1))) + scale_fill_manual(values = c( "NS" = "grey", "p-value < 0.01" = "orange", "p-value < 0.05" = "yellow", "p-value < 0.001" = "red"), name="Significance") + ylab(response) + xlab(names.plot) } } } ## calculate DIFFERENCES OF LSMEANS and STDERR for effect calcDiffsForEff <- function(facs, fac.comb, split.eff, eff, effs, rho, alpha, mat, ddf) { ## calculating diffs for 2 way interaction if(length(split.eff)>=1 && length(split.eff)<=2) { if(length(split.eff)==2) { fac.comb.names <- concatLevs(fac.comb) main.eff <- effs[effs %in% split.eff] mat.names.diffs <- combn(fac.comb.names,2) mat.nums.diffs <- apply(mat.names.diffs, c(1,2), function(x) which(fac.comb.names==x)) } else { mat.names.diffs <- combn(fac.comb,2) mat.nums.diffs <- apply(mat.names.diffs, c(1,2), function(x) which(fac.comb==x)) } mat.diffs <- matrix(0, nrow=ncol(mat.nums.diffs), ncol=ncol(mat)) colnames(mat.diffs) <- colnames(mat) for(ind.diffs in 1:ncol(mat.nums.diffs)) { mat.diffs[ind.diffs,] <- mat[mat.nums.diffs[1,ind.diffs],]- mat[mat.nums.diffs[2,ind.diffs],] } names.combn <- apply(mat.names.diffs, 2, function(x) paste(x[1], x[2], sep=" - ")) rownames(mat.diffs) <- paste(eff, names.combn) diffs.summ <- matrix(NA, ncol=7, nrow=nrow(mat.diffs)) colnames(diffs.summ) <- c("Estimate","Standard Error", "DF", "t-value", "Lower CI", "Upper CI", "p-value") rownames(diffs.summ) <- rownames(mat.diffs) diffs.summ <- as.data.frame(fillLSMEANStab(mat.diffs, rho, diffs.summ, 0, alpha, ddf)) return(roundLSMEANStab(diffs.summ, 0)) } } ## calculate LSMEANS and STDERR for effect calcLsmeansForEff <- function(lsmeans.summ, fac.comb, eff, split.eff, alpha, mat, rho, facs, ddf) { summ.eff <- matrix(NA, ncol=ncol(lsmeans.summ), nrow=nrow(fac.comb)) colnames(summ.eff) <- colnames(lsmeans.summ) #rownames(summ.eff) <- rep(eff, nrow(fac.comb)) summ.eff[,split.eff] <- fac.comb names.arg <- concatLevs(summ.eff[,split.eff]) summ.eff <- as.data.frame(fillLSMEANStab(mat, rho, summ.eff, length(facs), alpha, ddf)) summ.eff <- convertFacsToNum(summ.eff, length(facs)+1, ncol(summ.eff)) summ.eff <- roundLSMEANStab(summ.eff, length(facs)) rownames(summ.eff) <- paste(rep(eff, nrow(fac.comb)), names.arg) return(summ.eff) } ## refit model to lm in order to use popMatrix function refitLM <- function(obj) { mm <- model.matrix(obj) l.lmerTest.private.contrast <- attr(mm,"contrasts") contr <- l.lmerTest.private.contrast mm2 <- model.frame(obj) colnames(mm2)[1] <- "y" fo <- getFormula(obj, withRand = FALSE) ## formula(obj,fixed.only=TRUE) #l.lmerTest.private.contrast <- attr(mm, "contrasts") #contr <- l.lmerTest.private.contrast ## change contrasts for F tests calculations ## list of contrasts for factors if(length(which(unlist(contr)!="contr.SAS")) > 0) { names.facs <- names(contr) l.lmerTest.private.contrast <- as.list(rep("contr.SAS", length(names.facs))) names(l.lmerTest.private.contrast) <- names(contr) } # if(fo != as.formula(.~.)) # { # inds <- names(l.lmerTest.private.contrast) %in% attr(terms(fo), "term.labels") # ## update contrast l # l.lmerTest.private.contrast <- l.lmerTest.private.contrast[inds] # } fo <- update(fo, y ~ .) lm(fo, data=mm2, contrasts = l.lmerTest.private.contrast) } lmerTest/R/generalFunctions.R0000644000176200001440000002624013017650311015704 0ustar liggesusersstep <- function(model, ddf="Satterthwaite", type=3, alpha.random = 0.1, alpha.fixed = 0.05, reduce.fixed = TRUE, reduce.random = TRUE, fixed.calc=TRUE ,lsmeans.calc=TRUE, difflsmeans.calc=TRUE, test.effs=NULL, keep.effs = NULL,...) { if(!inherits(model, "lmerMod")) stop("The model is not linear mixed effects model") ddf <- checkNameDDF(ddf) result <- stepFun(model = model, ddf = ddf , type = type, alpha.random = alpha.random, alpha.fixed = alpha.fixed, reduce.fixed = reduce.fixed, reduce.random = reduce.random, fixed.calc = fixed.calc, lsmeans.calc = lsmeans.calc, difflsmeans.calc = difflsmeans.calc, test.effs = test.effs, keep.effs = keep.effs, change.contr = TRUE) class(result) <- "step" result } print.step <- function(x, ...) { if(!is.null(x$rand.table)) { cat("\nRandom effects:\n") x$rand.table[,"p.value"] <- format.pval(x$rand.table[,"p.value"], digits=4, eps=1e-7) x$rand.table[,"Chi.sq"] <- round(x$rand.table[,"Chi.sq"], 2) print(x$rand.table) } if(is.null(x$anova.table)){ }else{ if(nrow(x$anova.table) != 0) { if(class(x$model) == "lm" | class(x$model) == "gls") { cat("\nFixed effects:\n") print(x$anova.table) cat("\nLeast squares means:\n") print(x$lsmeans.table) cat("\nFinal model:\n") print(x$model) return() } else { cat("\nFixed effects:\n") x$anova.table[,"Pr(>F)"] <- format.pval(x$anova.table[,"Pr(>F)"], digits=4, eps=1e-7) x$anova.table[,c("Sum Sq","Mean Sq", "F.value")] <- round(x$anova.table[,c("Sum Sq","Mean Sq", "F.value")],4) x$anova.table[,"DenDF"] <- round(x$anova.table[,"DenDF"],2) print(x$anova.table) if(!is.null(x$lsmeans.table)) { cat("\nLeast squares means:\n") printCoefmat(x$lsmeans.table, dig.tst=3 , tst.ind=c(1:(which(colnames(x$lsmeans.table)=="Estimate")-1), which(colnames(x$lsmeans.table)=="DF")), digits=3 , P.values = TRUE, has.Pvalue=TRUE) } if(!is.null(x$diffs.lsmeans.table)) { cat("\n Differences of LSMEANS:\n") printCoefmat(x$diffs.lsmeans.table, dig.tst=1 , tst.ind=c(1:(which(colnames(x$diffs.lsmeans.table)== "Estimate")-1), which(colnames(x$diffs.lsmeans.table)=="DF")), digits=3 , P.values = TRUE, has.Pvalue=TRUE) } } } else print(x$anova.table) } cat("\nFinal model:\n") print(x$model@call) } plot.step <- function(x, main = NULL, cex = 1.4, which.plot = c("LSMEANS", "DIFF of LSMEANS"), effs = NULL, mult = TRUE, ...) { if(!is.null(x$lsmeans.table) && nrow(x$lsmeans.table)>0 && ("LSMEANS" %in% which.plot)){ if(length(which.plot) == 1 && which.plot == "LSMEANS") return(plotLSMEANS(x$lsmeans.table, x$response, "LSMEANS", main = main, cex = cex, effs = effs, mult = mult)) } if(!is.null(x$diffs.lsmeans.table) && nrow(x$diffs.lsmeans.table)>0 && ("DIFF of LSMEANS" %in% which.plot)) plotLSMEANS(x$diffs.lsmeans.table, x$response, "DIFF of LSMEANS", main = main, cex = cex, effs = effs, mult = mult) } lmer <- function(formula, data = NULL, REML = TRUE, control = lmerControl(), start = NULL, verbose = 0L, subset, weights, na.action, offset, contrasts = NULL, devFunOnly = FALSE, ...) { mc <- match.call() mc[[1]] <- quote(lme4::lmer) model <- eval.parent(mc) if(inherits(model, "merMod")) model <- as(model,"merModLmerTest") return(model) } setMethod("anova", signature(object="merModLmerTest"), function(object, ..., ddf="Satterthwaite", type=3) { mCall <- match.call(expand.dots = TRUE) dots <- list(...) modp <- if (length(dots)) sapply(dots, is, "merModLmerTest") | sapply(dots, is, "merMod") | sapply(dots, is, "lm") else logical(0) if (any(modp)) { return(callNextMethod()) } else { cnm <- callNextMethod() if(!is.null(ddf) && ddf=="lme4") return(cnm) { table <- cnm ## errors in specifying the parameters ddf <- checkNameDDF(ddf) an.table <- tryCatch({calcANOVA(model=object, ddf=ddf, type=type)} , error = function(e) { NULL }) if(!is.null(an.table)) { table <- an.table attr(table, "heading") <- paste("Analysis of Variance Table of type", as.roman(type) , " with ", ddf, "\napproximation for degrees of freedom") } else message("anova from lme4 is returned\nsome computational error has occurred in lmerTest") class(table) <- c("anova", "data.frame") return(table) } } }) setMethod("summary", signature(object = "merModLmerTest"), function(object, ddf="Satterthwaite", ...){ if(!is.null(ddf) && ddf=="lme4"){ if(class(object) == "merModLmerTest") return(summary(as(object, "lmerMod"))) #return(cl) }else{ ## commented callNextMethod ## since it produces warning, summary cannot have multiple arguments ##cl <- callNextMethod() if(class(object) == "merModLmerTest") cl <- summary(as(object, "lmerMod")) #errors in specifying the parameters ddf <- checkNameDDF(ddf) tsum <- tryCatch( {calcSummary(object, ddf)}, error = function(e) { NULL }) if(is.null(tsum)){ message("summary from lme4 is returned\nsome computational error has occurred in lmerTest") return(cl) } coefs.satt <- cbind(cl$coefficients[,1:2, drop = FALSE], tsum$df, tsum$tvalue, tsum$tpvalue) cl$coefficients <- coefs.satt colnames(cl$coefficients)[3:5] <- c("df","t value","Pr(>|t|)") } cl$methTitle <- paste(cl$methTitle, "\nt-tests use ", ddf, "approximations to degrees of freedom") return(cl) }) calcSatterth <- function(model, L){ if(!inherits(model, "lmerMod")) stop("The model is not linear mixed effects model") rho <- list() ## vector containing info about model rho <- rhoInit(rho, model) ## save lmer outcome in rho vactor rho$A <- calcApvar(rho) calcSatt(rho, L, calcSS = FALSE) } rand <- function(model, ...) { if(!inherits(model, "lmerMod")) stop("The model is not linear mixed effects model") result <- testrand(model, reduce.random = FALSE, keep.effs = NULL, alpha.random = 0.1) res <- list(rand.table=result) class(res) <- "rand" res } print.rand <- function(x, ...) { cat("Analysis of Random effects Table:\n") if(!is.null(x)) printCoefmat(x$rand.table, digits=3 , dig.tst=1 , tst.ind=c(which(colnames(x$rand.table)=="Chi.DF"), which(colnames(x$rand.table)=="elim.num")), P.values=TRUE, has.Pvalue=TRUE) } lsmeans <- function(model, test.effs=NULL, ddf = "Satterthwaite", ...){ .Deprecated("lsmeansLT", package = "lmerTest") lsmeansLT(model, test.effs=test.effs, ddf = ddf) } lsmeansLT <- function(model, test.effs=NULL, ddf = "Satterthwaite", ...) { if(!inherits(model, "lmerMod")) stop("The model is not linear mixed effects model") ddf <- checkNameDDF(ddf) result <- lsmeans.calc(model, 0.05, test.effs = test.effs, lsmeansORdiff = TRUE, ddf) res <- list(lsmeans.table=result$summ.data, response=result$response) class(res) <- "lsmeansLT" res } print.lsmeansLT <- function(x, ...) { cat("Least Squares Means table:\n") printCoefmat(data.matrix(x$lsmeans.table), dig.tst=1, tst.ind=c(1:(which(colnames(x$lsmeans.table)=="Estimate")-1), which(colnames(x$lsmeans.table)=="DF")), digits=3 , P.values=TRUE, has.Pvalue=TRUE) } # plot.lsmeans <- function(x, main = NULL, cex = 1.4, effs = NULL, mult = TRUE, ...){ # .Deprecated("plot.lsmeansLT", package = "lmerTest") # plot.lsmeansLT(x, main = main, cex = cex, effs = effs, mult = mult) # } plot.lsmeansLT <- function(x, main = NULL, cex = 1.4, effs = NULL, mult = TRUE, ...) { #plots for LSMEANS if(!is.null(x$lsmeans.table) && nrow(x$lsmeans.table)>0) plotLSMEANS(x$lsmeans.table, x$response, "LSMEANS", main = main, cex = cex, effs = effs, mult = mult) } difflsmeans <- function(model, test.effs=NULL, ddf = "Satterthwaite", ...) { if(!inherits(model, "lmerMod")) stop("The model is not linear mixed effects model") ddf <- checkNameDDF(ddf) result <- lsmeans.calc(model, 0.05, test.effs = test.effs, lsmeansORdiff = FALSE, ddf) res <- list(diffs.lsmeans.table=result$summ.data, response=result$response) class(res) <- "difflsmeans" res } print.difflsmeans <- function(x, ...) { cat("Differences of LSMEANS:\n") printCoefmat(data.matrix(x$diffs.lsmeans.table), dig.tst=1, tst.ind=c(1:(which(colnames(x$diffs.lsmeans.table)=="Estimate")-1), which(colnames(x$diffs.lsmeans.table)=="DF")), digits=3, P.values=TRUE, has.Pvalue=TRUE) } plot.difflsmeans <- function(x, main = NULL, cex = 1.4, effs = NULL, mult = TRUE, ...) { #plots for DIFF of LSMEANS if(!is.null(x$diffs.lsmeans.table) && nrow(x$diffs.lsmeans.table)>0) plotLSMEANS(x$diffs.lsmeans.table, x$response, "DIFF of LSMEANS", main = main, cex = cex, effs = effs, mult = mult) }lmerTest/R/step_related.R0000644000176200001440000003031512710132365015052 0ustar liggesusersstepFun <- function(model, ddf = "Satterthwaite", type = 3, alpha.random = 0.1, alpha.fixed = 0.05, reduce.fixed = TRUE, reduce.random = TRUE, fixed.calc = TRUE, lsmeans.calc = TRUE, difflsmeans.calc = TRUE, test.effs = NULL, keep.effs = NULL, change.contr = TRUE) { ## check type of hypothesis if(!(type %in% c(1,2,3))) stop('Parameter type is wrongly specified') ## check keep.effs if(!is.null(keep.effs)){ model.effs <- .fixedrand(model) keep.effs1 <- .getKeepEffs(keep.effs, model.effs) if(length(unlist(keep.effs1)) == 0) message(paste("No ", keep.effs, "exist among effects in the model")) keep.effs <- keep.effs1 } result <- NULL result$response <- rownames(attr(terms(model),"factors"))[1] result$call <- model@call ## save the call of the model result$corr.intsl <- checkCorr(model) anova.table <- NULL ## save results for fixed effects for model with only fixed effects if(class(model) == "lm" | class(model) == "gls") { result <- saveResultsFixModel(result, model) result$rand.table <- NULL return(result) } ## analysis of the random part result.rand <- elimRandEffs(model, alpha.random, reduce.random, keep.effs$randeffs) model <- result.rand$model ## convert rand table to data frame rt <- as.data.frame(result.rand$TAB.rand) rt$Chi.DF <- as.integer(rt$Chi.DF) if(!is.null(rt$elim.num)) rt$elim.num <- as.integer(rt$elim.num) result$rand.table <- rt if(!fixed.calc){ result$model <- model return(result) } ## save results for fixed effects for model with only fixed effects if(class(model) == "lm" | class(model) == "gls") return(saveResultsFixModel(result, model, type)) ## perform reduction of fixed effects for model with mixed effects stop = FALSE is.first.anova <- TRUE is.first.sign <- TRUE rho <- list() ## environment containing info about model rho <- rhoInit(rho, model, change.contr) while(!stop) { ## if there are no fixed terms if(nrow(anova(model, ddf="lme4"))==0) { if(is.null(anova.table)) return(emptyResult(result, model)) break } rho$A <- calcApvar(rho) ## asymptotic variance-covariance matrix for theta and sigma rho$Xlist <- createDesignMat(rho) ## X design matrix for fixed effects test.terms <- attr(terms(rho$model),"term.labels") ## define the terms that are to be tested ## initialize anova table if(is.first.anova) { anova.table <- initAnovaTable(rho$model, test.terms, reduce.fixed) is.first.anova <- FALSE elim.num <- 1 } ## calculate general set of hypothesis matrix L <- calcGeneralSet(rho, type) resultFpvalueSS <- llply(test.terms, calcFpvalueMAIN, L = L, rho = rho, ddf = ddf, type = type) ## fill anova table anova.table <- fillAnovaTable(resultFpvalueSS, anova.table) if(!reduce.fixed) break else { resNSelim <- elimNSFixedTerm(rho, anova.table, alpha.fixed, elim.num, keep.effs$fixedeffs, change.contr) if(is.null(resNSelim)) break else { rho <- resNSelim$rho anova.table <- updateAnovaTable(resNSelim) elim.num <- elim.num + 1 } } } ## convert anova table to data frame anova.table <- as.data.frame(anova.table) anova.table$NumDF <- as.integer(anova.table$NumDF) if(!is.null(anova.table$elim.num)) anova.table$elim.num <- as.integer(anova.table$elim.num) result$anova.table <- anova.table ## if in step function least squares means of diffs of LSMEANS are required if(lsmeans.calc) { lsmeans.tab <- calcLSMEANS(rho, alpha.fixed, test.effs = test.effs, lsmeansORdiff = TRUE) result$lsmeans.table <- lsmeans.tab$summ.data } else { result$lsmeans.table <- NULL } if(difflsmeans.calc) { lsmeans.tab <- calcLSMEANS(rho, alpha.fixed, test.effs = test.effs, lsmeansORdiff=FALSE) result$diffs.lsmeans.table <- lsmeans.tab$summ.data } else { result$diffs.lsmeans.table <- NULL } ## format anova.table and random.table according to elim.num column result$anova.table <- formatElimNumTable(result$anova.table) result$rand.table <- formatElimNumTable(result$rand.table) ## save model if(inherits(rho$model, "merMod")) model <- as(rho$model,"merModLmerTest") result$model <- rho$model return(result) } ################################################################################ ## find NS effect from the model (starting from highest order interactions) ################################################################################ getNSFixedTerm <- function(anova.table, alpha, keep.effs = NULL) { pv.max <- 0 if(length(which(anova.table[,"elim.num"]==0))==1) terms.compare <- rownames(anova.table)[anova.table[,"elim.num"]==0] else terms.compare <- getTermsToCompare(anova.table[anova.table[,"elim.num"]==0,], keep.effs) for(tcmp in terms.compare) { if((!tcmp %in% rownames(anova.table)) || is.na(anova.table[tcmp,"Pr(>F)"])) next ind <- which(rownames(anova.table)==tcmp) if(anova.table[ind, which(colnames(anova.table)=="Pr(>F)")]>=pv.max) { ns.term <- tcmp pv.max <- anova.table[ind,which(colnames(anova.table)=="Pr(>F)")] } } if(pv.max >= alpha) return(ns.term) else return(NULL) } ################################################################################ ## eliminate NS fixed effect from the model ################################################################################ elimNSFixedTerm <- function(rho, anova.table, alpha, elim.num, keep.effs = NULL, change.contr) { ns.term <- getNSFixedTerm(anova.table, alpha, keep.effs = keep.effs) if( is.null(ns.term) ) return(NULL) anova.table[ns.term, "elim.num"] <- elim.num fm <- formula(rho$model) fm[3] <- paste(fm[3], "-", ns.term) mf.final <- as.formula(paste(fm[2], fm[1], fm[3], sep="")) rho <- rhoInit(rho, rho$model, change.contr = change.contr, mf.final = mf.final) return(list(rho = rho, anova.table = anova.table)) } ############################################################################### ## get terms to compare in anova.table ############################################################################### #getTermsToCompare <- function(model) getTermsToCompare <- function(anova.table, keep.effs = NULL) { #order.terms <- attr(terms(model),"order") #allterms <- attr(terms(model),"term.labels") anova.table.upd <- anova.table[complete.cases(anova.table), , drop=FALSE] order.terms <- orderterms(anova.table.upd) allterms <- rownames(anova.table.upd ) ind.hoi <- which(order.terms == max(order.terms)) ind.terms.contain <- getIndTermsContained(allterms, ind.hoi) #get the rest of the terms to compare allterms.rest <- allterms[-c(ind.terms.contain, ind.hoi)] if( length(allterms.rest)==0 ) terms.compare <- allterms[ind.hoi] else { #get highest order terms in the remaining ones order.rest <- unlist(lapply(allterms.rest, function(x) length(unlist(strsplit(x,":"))))) ind.hoi.rest <- which(order.rest == max(order.rest)) gtc <- getIndTermsContained(allterms.rest, ind.hoi.rest) if( !is.null(gtc) ) terms.compare <- c(allterms[ind.hoi], allterms.rest[-getIndTermsContained(allterms.rest, ind.hoi.rest)]) else terms.compare <- c(allterms[ind.hoi], allterms.rest) } return(setdiff(terms.compare, keep.effs)) } ############################################################################### # get terms contained ############################################################################### getIndTermsContained <- function(allterms, ind.hoi) { terms.hoi.split <- strsplit(allterms[ind.hoi],":") ind.terms.contain <- NULL #check which of the terms are contained in the highest order terms for(i in (1:length(allterms))[-ind.hoi]) { isContained<-FALSE for(j in 1:length(terms.hoi.split)) { #if the term is contained in some of the highest order interactions then #we cannot test it for significance if(length(which(unlist(strsplit(allterms[i],":")) %in% terms.hoi.split[[j]] == FALSE))==0) { isContained <- TRUE break } } if(isContained) ind.terms.contain <- c(ind.terms.contain,i) } # if there are no terms that are contained in the maximum order effects # then compare all the terms between each other for the maximum p value if( is.null(ind.terms.contain) ) return(NULL) return(ind.terms.contain) } orderterms <- function(anova.table) { return(unlist(lapply(rownames(anova.table), function(x) length(unlist(strsplit(x,":")))))) } .findKeepRandEff <- function(keep.eff, model.effs){ randTerms <- getRandTermsTable(names(model.effs)) is.scalar <- unlist(lapply(randTerms, function(x) x$sl.part == "1")) randTermsScal <- randTerms[is.scalar] randTermsSl <- randTerms[!is.scalar] keep.eff.scal <- .findKeepEff(keep.eff, names(randTermsScal)) keep.eff.slope <- .findKeepEffSlope(keep.eff, randTermsSl) c(keep.eff.scal, keep.eff.slope) } .getKeepEffs <- function(keep.effs, model.effs){ #rand.terms.table <- getRandTermsTable(rand.terms) randeffs <- unlist(lapply(keep.effs, .findKeepRandEff, unlist(model.effs$randeffs))) fixedeffs <- unlist(lapply(keep.effs, .findKeepEff, unlist(model.effs$fixedeffs))) return(list(randeffs = randeffs, fixedeffs = fixedeffs)) } .findKeepEffSlope <- function(keep.eff, randTermsSl){ ind.Slope <- unlist(lapply(randTermsSl, function(x) x$sl.part == keep.eff)) if(sum(ind.Slope) == 0){ ind.Gr <- unlist(lapply(randTermsSl, function(x) x$gr.part == keep.eff)) if(sum(ind.Gr) > 0) return(c(names(randTermsSl[ind.Slope]), keep.eff)) } c(names(randTermsSl[ind.Slope])) } .getKeepInter <- function(model.eff, split.keep.eff){ if(setequal(unlist(strsplit(model.eff, ":")), split.keep.eff)) return(model.eff) } .findKeepEff <- function(keep.eff, model.effs){ ## for main terms if(length(grep(":", keep.eff)) == 0){ if(keep.eff %in% model.effs) return(keep.eff) } else{ ## for interaction terms return(unlist(lapply(model.effs, .getKeepInter, unlist(strsplit(keep.eff, ":"))))) } } ## format table according to elim.num column formatElimNumTable <- function(table) { if("elim.num" %in% colnames(table)){ table[which(table[,"elim.num"]==0),"elim.num"] <- 1000 table <- table[with(table, order(elim.num, decreasing=FALSE)),] table[,"elim.num"] <- as.character(table[,"elim.num"]) table[which(table[,"elim.num"]=="1000"),"elim.num"] <- "kept" } return(table) } updateAnovaTable <- function(resNSelim){ anm <- anova(resNSelim$rho$model) anova.table <- resNSelim$anova.table anova.table[rownames(anm), c("Sum Sq", "Mean Sq", "NumDF")] <- as.matrix(anm[, c("Sum Sq", "Mean Sq", "Df")]) anova.table } emptyResult <- function(result, model){ lsmeans.summ <- matrix(ncol=7,nrow=0) colnames(lsmeans.summ) <- c("Estimate", "Standard Error", "DF", "t-value", "Lower CI", "Upper CI", "p-value") lsmeans.summ <- as.data.frame(lsmeans.summ) result$lsmeans.table <- lsmeans.summ result$diffs.lsmeans.table <- lsmeans.summ result$model <- model result$anova.table <- anova(model, ddf="lme4") result } lmerTest/R/rand_related.R0000644000176200001440000002721212710121471015021 0ustar liggesusers################################################################################ ## functions related to testing random effects ################################################################################ ## the main function to test / reduce random effects testrand <- function(model, reduce.random = FALSE, keep.effs = NULL, alpha.random = 0.1){ result.rand <- elimRandEffs(model, alpha.random, reduce.random) model <- result.rand$model ## convert rand table to data frame rt <- as.data.frame(result.rand$TAB.rand) rt$Chi.DF <- as.integer(rt$Chi.DF) if(!is.null(rt$elim.num)) rt$elim.num <- as.integer(rt$elim.num) rt } ## function performs LRT test on random effect .doLRT <- function(rnm, rand.terms, fmodel, model){ nt <- rnm$gr.part rnm <- list(rnm) names(rnm) <- nt fm <- paste(fmodel) mf.final <- fmElimRandTerm(rnm, rand.terms, fm) is.present.rand <- checkPresRandTerms(mf.final) # no more random terms in the model if(!is.present.rand) { return(compareMixVSFix(model, mf.final, data, rnm)) } model.red <- update(model, mf.final, getME(model, "is_REML")) anova.red <- suppressMessages(anova(model, model.red, refit = FALSE)) return(saveInfoForTerm(rnm, anova.red$Chisq[2], anova.red$"Chi Df"[2], anova.red$'Pr(>Chisq)'[2], model.red)) } ## eliminate NS random terms elimRandEffs <- function(model, alpha, reduce.random, keep.effs = NULL) { isInitRand <- TRUE elim.num <- 1 stop <- FALSE while(!stop) { fmodel <- formula(model) rand.terms <- sapply(getRandTerms(fmodel), function(x) substr(x,2,nchar(x)-1), USE.NAMES = FALSE) rand.terms.table <- getRandTermsTable(rand.terms) if(isInitRand) { rand.table <- initRandTable(names(rand.terms.table), reduce.random) isInitRand <- FALSE } fm <- paste(fmodel) infoForTerms <- llply(rand.terms.table, .fun = .doLRT, rand.terms, fmodel, model) ## find the maximal p-value if the reduction is required if(reduce.random) infoForTermElim <- .findElimTerm(infoForTerms, keep.effs) else{ rand.table <- updateRandTable(infoForTerms, rand.table, reduce.random = reduce.random) model.last <- model break } if(length(infoForTermElim)!=0 && infoForTermElim[[1]]$pv > alpha) { rand.table <- updateRandTable(infoForTermElim, rand.table, elim.num, reduce.random) elim.num <- elim.num + 1 } else { rand.table <- updateRandTable(infoForTerms, rand.table, reduce.random=reduce.random) model.last <- model break } model <- infoForTermElim[[1]]$model.red # model.final if(is(model, "lm")){ model.last <- model break } } return(list(model = model.last, TAB.rand = rand.table)) } ## compare mixed model versus fixed compareMixVSFix <- function(model, mf.final, data, name.term) { model.red <- refitLM(model) l.fix <- -2*logLik(model, REML=TRUE)[1] l.red <- -2*logLik(model.red, REML=TRUE)[1] p.chisq <- 1 - pchisq (l.red -l.fix ,1) infoForTerm <- saveInfoForTerm(name.term, l.red -l.fix, 1, p.chisq, model.red = model.red) return(infoForTerm) } ## fill a row for the random matrix fillRowRandTable <- function(term, rand.table, elim.num, reduce.random) { # nrow.term <- which(rownames(rand.table)==names(term)) # um"] <- elim.num # return(rand.table) # nrow.term <- which(gsub(" ","",rownames(rand.table))==names(term)) rand.table[nrow.term, "Chi.sq"] <- term[[1]]$chisq rand.table[nrow.term, "Chi.DF"] <- term[[1]]$chisq.df rand.table[nrow.term, "p.value"] <- term[[1]]$pv if(reduce.random) { rand.table[nrow.term, "elim.num"] <- elim.num if(term[[1]]$chisq.df==2 && elim.num!=0) { rand.table.upd <- matrix(0,ncol=4, nrow=1) colnames(rand.table.upd) <- c("Chi.sq", "Chi.DF", "elim.num", "p.value") rownames(rand.table.upd) <- paste(paste(rep(" ", substring.location( names(term), term[[1]]$term[[1]]$gr.part)$first-2), collapse=""), term[[1]]$term[[1]]$gr.part, collapse="") if(nrow.term==nrow(rand.table)) { rand.table <- rbind(rand.table, rand.table.upd) #rownames(rand.table)[1] <- term$term } else { rnames <- c(rownames(rand.table)[1:nrow.term], rownames(rand.table.upd), rownames(rand.table)[(nrow.term+1):nrow(rand.table)]) rand.table <- rbind(rand.table[1:nrow.term,], rand.table.upd, rand.table[(nrow.term+1):nrow(rand.table),]) rownames(rand.table) <- rnames } } } rand.table } ## update table for random terms updateRandTable <- function(infoForTerm, rand.table, elim.num=0, reduce.random) { if(!is.null(infoForTerm$term)) { rand.table <- fillRowRandTable(infoForTerm, rand.table, elim.num, reduce.random) } else { for(i in 1:length(infoForTerm)) { iterm <- infoForTerm[i] rand.table <- fillRowRandTable(iterm, rand.table, elim.num, reduce.random) } } rand.table } ## function get the slope part of a random term findSlopePart <- function(term) { sub.loc.div <- substring.location(term," |") slopepart <- substring2(term,1,sub.loc.div$first) grouppart <- substring2(term,sub.loc.div$last, nchar(term)) parts <- unlist(strsplit(slopepart, split=c("[[:punct:]]"))) parts <- gsub(" ","", parts , fixed=TRUE) parts } getSlGrParts <- function(term) { randTerm.split <- unlist(strsplit(term, "\\|")) sl.part <- sapply( strsplit(randTerm.split[1], split=c("[[:punct:]]")), function(x) gsub(" ","", x , fixed=TRUE)) gr.part <- gsub(" ","", randTerm.split[2] , fixed=TRUE) return(list(sl.part=sl.part, gr.part=gr.part)) } getRowNamesForRandTable <- function(term) { sl.part <- getSlGrParts(term)$sl.part gr.part <- getSlGrParts(term)$gr.part if(length(sl.part) > 1 || sl.part !="1") { sl.part <- sl.part[! sapply(sl.part, function(x) x=="1" || x=="0")] listterms <- function(x) { lst <- list(sl.part=x, gr.part=gr.part) lst } la <- lapply(sl.part, listterms) names(la) <- sapply(sl.part, function(x) paste(c(x, gr.part), collapse=":"), USE.NAMES=FALSE) } else { lst <- list(sl.part=sl.part, gr.part=gr.part) la <- list(lst) names(la) <- gr.part } la } ## initialize table for random terms initRandTable <- function(names, reduce.random) { if(reduce.random) { rand.table <- matrix(0,ncol=4, nrow=length(names)) colnames(rand.table) <- c("Chi.sq", "Chi.DF", "elim.num", "p.value") rownames(rand.table) <- names } else { rand.table <- matrix(0,ncol=3, nrow=length(names)) colnames(rand.table) <- c("Chi.sq", "Chi.DF", "p.value") rownames(rand.table) <- names } return(rand.table) } ## return formula with the simplified random structure fmElimRandTerm <- function(rnm, rand.terms, fm) { nSameGr <- length(rand.terms[sapply(rand.terms, function(x) (getSlGrParts(x)$gr.part==rnm[[1]]$gr.part))]) term.simplify <- rand.terms[sapply(rand.terms, function(x) (getSlGrParts(x)$gr.part==rnm[[1]]$gr.part) && (rnm[[1]]$sl.part %in% findSlopePart(x)))] sub.loc.div <- substring.location(term.simplify," |") slopepart <- gsub(" ","", substring2(term.simplify, 1, sub.loc.div$first) , fixed=TRUE) mf.term.simpl <- as.formula(paste(fm[2],fm[1],paste(slopepart, "-", rnm[[1]]$sl.part), sep="")) mf.term.simpl <- update.formula( mf.term.simpl, mf.term.simpl) if(rnm[[1]]$sl.part != "1" && as.character(mf.term.simpl[3])!="1 - 1" && nSameGr==1) { fm[3] <- paste(fm[3], "-", paste("(",term.simplify,")", sep=""), "+" , paste("(",as.character(mf.term.simpl[3]), "|",rnm[[1]]$gr.part, ")", sep="")) } else { fm[3] <- paste(fm[3], "-", paste("(",term.simplify,")", sep=""), sep="") } mf.final <- as.formula(paste(fm[2],fm[1],fm[3], sep="")) mf.final <- update.formula( mf.final, mf.final) mf.final } getRandTermsTable <- function(rand.terms) { rand.terms.table <- NULL for(rand.term in rand.terms) { rand.terms.table <- c(rand.terms.table, getRowNamesForRandTable(rand.term)) } rand.terms.table } ## save info (pvalues, chisq val, std, var...) for term saveInfoForTerm <- function(term, chisq, chisq.df, pv, model.red = NULL) { term.info <- NULL term.info$pv <- pv term.info$chisq <- chisq term.info$chisq.df <- chisq.df term.info$term <- term if(!is.null(model.red)) term.info$model.red <- model.red return(term.info) } .findElimTerm <- function(infoForTerms, keep.effs){ infoForTermsUpd <- infoForTerms[setdiff(names(infoForTerms), keep.effs)] ind <- which.max(lapply(infoForTermsUpd, function(x) x$pv)) return(infoForTermsUpd[ind]) } ## the same function as in SensMixed package ## list of random and fixed terms of the model .fixedrand <- function(model) { effs <- attr(terms(formula(model)), "term.labels") neffs <- length(effs) randeffs <- effs[grep(" | ", effs)] randeffs <- sapply(randeffs, function(x) substring(x, 5, nchar(x))) fixedeffs <- effs[!(effs %in% names(randeffs))] return(list(randeffs=randeffs, fixedeffs=fixedeffs)) } ## create reduce slopes model createModelRedSlopes <- function(x, term, fm, model) { fm[3] <- paste(fm[3], "-", term, "+" , paste(x, collapse="+")) mf.final <- as.formula(paste(fm[2],fm[1],fm[3], sep="")) mf.final <- update.formula(mf.final,mf.final) model.red <- updateModel(model, mf.final, change.contr = FALSE) # model.red <- update(model, formula = mf.final, # contrasts = l.lmerTest.private.contrast) return(model.red) } ## get the random terms getRandTerms <- function(fmodel) { terms.fm <- attr(terms(fmodel),"term.labels") ind.rand.terms <- which(unlist(lapply(terms.fm, function(x) substring.location(x, "|")$first))!=0) return(unlist(lapply(terms.fm[ind.rand.terms], function(x) paste("(",x,")",sep="")))) } ## check if there are no random terms in the model checkPresRandTerms <- function(mf.final) { sub.loc.rand <- substring.location(paste(mf.final)[3], "|") if(sub.loc.rand$first==0 && sub.loc.rand$last==0) return(FALSE) return(TRUE) } ## check if there are correlations between intercepts and slopes checkCorr <- function(model) { corr.intsl <- FALSE modelST <- getME(model, "ST") lnST <- length(modelST) for(i in 1:lnST) { if(nrow(modelST[[i]])>1) corr.intsl <- TRUE } return(corr.intsl) } lmerTest/R/anova_related.R0000644000176200001440000001430012731757307015213 0ustar liggesuserscalcANOVA <- function(model, ddf = "Satterthwaite", type = 3, change.contr = TRUE){ if(!(type %in% c(1,2,3))) stop('Parameter type is wrongly specified') ## check type of hypothesis rho <- list() ## environment containing info about model if(type == 3) change.contr <- TRUE else change.contr <- FALSE rho <- rhoInit(rho, model, change.contr) ## save lmer outcome in rho envir variable if(ddf == "Satterthwaite") rho$A <- calcApvar(rho) ## asymptotic variance-covariance matrix for theta and sigma rho$Xlist <- createDesignMat(rho) ## X design matrix for fixed effects ## define the terms that are to be tested rho$test.terms <- attr(terms(rho$model), "term.labels")[unique(attr(rho$Xlist$X.design.red, "assign"))] anova.table <- initAnovaTable(rho$model, rho$test.terms, FALSE) ## initialize anova table ## calculate general set of hypothesis matrix L <- calcGeneralSet(rho, type) resultFpvalueSS <- llply(rho$test.terms, calcFpvalueMAIN, L = L, rho = rho, ddf = ddf, type = type) ## fill anova table anova.table <- fillAnovaTable(resultFpvalueSS, anova.table) anova.table } ## calculate t test for the summary function for lmerMod object calcSummary <- function(model, ddf = "Satterthwaite"){ rho <- list() ## vector containing info about model rho <- rhoInit(rho, model, FALSE) ## save lmer outcome in rho envir variable if(ddf == "Satterthwaite") rho$A <- calcApvar(rho) ## asymptotic variance-covariance matrix for theta and sigma if(ddf == "Satterthwaite") result <- aaply(diag(rep(1,length(rho$fixEffs))), .margins=2, .fun = calcSatterth1DF, rho = rho, isF = FALSE) else result <- aaply(diag(rep(1,length(rho$fixEffs))), .margins=2, .fun = calcKR1DF, rho = rho) return(list(df = result[, "df"], tvalue = result[, "t value"], tpvalue = result[, "p-value"])) } ################################################################################ ## function to calculate F stat and pvalues for a given term ################################################################################ calcFpvalueSS <- function(Lc, rho, ddf, type) { if(is.null(Lc)) return(NULL) ## BUG: check vases example from Per #calculate ss #ss = 1##getSS(Lc, fullCoefs, ginv(crossprod(X.design))) # for running rune's vcov function ## TODO: UNCOMMENT (commented because of use ...type3.red) if(is.vector(Lc)) { Lc <- Lc[rho$Xlist$nums.Coefs] } else { if(type == 3) Lc <- Lc[ , rho$Xlist$nums.Coefs] } if(ddf=="Kenward-Roger") return(calcKRMultDF(rho, Lc)) ## apply KR approximation else return(calcSatt(rho, Lc)) ## apply satterthwaite's approximation of ddf } ################################################################################ ## function to calculate F stat and pvalues for a given term. MAIN ################################################################################ calcFpvalueMAIN <- function(term, L, rho, ddf, type) { if(type == 3) { Lc <- makeContrastType3SAS(rho$model, term, L) #non identifiable because of rank deficiency if(!length(Lc)) return(list(denom=0, Fstat=NA, pvalue=NA, ndf=NA, ss = NA, ms = NA)) else return(c(calcFpvalueSS(Lc, rho, ddf, type), list(name=term))) } if(type == 1) { Lc <- L[[term]] return(c(calcFpvalueSS(Lc, rho, ddf, type), list(name=term))) } if(type == 2){ Lc <- L[[term]] return(c(calcFpvalueSS(Lc, rho, ddf, type), list(name=term))) } } ################################################################################ ## initialize anova table for F test ################################################################################ initAnovaTable <- function(model, test.terms, isFixReduce) { anova.table <- matrix(NA, nrow=length(test.terms), ncol=6) rownames(anova.table) <- test.terms colnames(anova.table) <- c("Sum Sq", "Mean Sq", "NumDF", "DenDF","F.value", "Pr(>F)") anm <- anova(model, ddf="lme4") colnames(anm) <- c("NumDF", "Sum Sq", "Mean Sq", "F.value") anova.table[rownames(anm), c("NumDF", "Sum Sq", "Mean Sq")] <- as.matrix(anm[, c("NumDF", "Sum Sq", "Mean Sq")]) if(isFixReduce) { if(nrow(anova.table)==1) { anova.table <- c(anova.table[,1:5], 0, anova.table[,6]) anova.table <- matrix(anova.table, nrow=1, ncol=length(anova.table)) colnames(anova.table) <- c("Sum Sq", "Mean Sq", "NumDF", "DenDF", "F.value", "elim.num","Pr(>F)") rownames(anova.table) <- rownames(anm) return(anova.table) } elim.num <- rep(0, nrow(anova.table)) anova.table <- cbind(anova.table[,1:5], elim.num, anova.table[,6]) colnames(anova.table)[7] <- "Pr(>F)" } return(anova.table) } ## sum of squares based on the proc glm SAS getSS <- function(L, coef, XtX.) { L.beta <- L %*% coef if(is.vector(L)) var.L.beta <- t(L) %*% XtX. %*% L if(is.matrix(L)) var.L.beta <- L %*% XtX. %*% t(L) ss <- c(t(L.beta) %*% ginv(var.L.beta) %*% L.beta) ss } ################################################################################ ## fill anova table ################################################################################ fillAnovaTable <- function(result, anova.table) { for (i in 1:length(result)) { if(!is.null(result[[i]]$name) && !( result[[i]]$name %in% rownames(anova.table))) next anova.table[result[[i]]$name, 4] <- result[[i]]$denom anova.table[result[[i]]$name, 5] <- result[[i]]$Fstat anova.table[result[[i]]$name, which(colnames(anova.table)=="Pr(>F)")] <- result[[i]]$pvalue if(!is.na(result[[i]]$ss)){ anova.table[result[[i]]$name, "Sum Sq"] <- result[[i]]$ss anova.table[result[[i]]$name, "Mean Sq"] <- result[[i]]$ms } } anova.table <- as.data.frame(anova.table) anova.table$NumDF <- as.integer(anova.table$NumDF) anova.table } lmerTest/R/deriv.R0000644000176200001440000000773412551716375013535 0ustar liggesusers## Rune's functions for calculating gradient and hessian ## faster than hessian and grad functions from numDeriv package deriv12 <- function(fun, x, delta=1e-4, fx=NULL, ...) { ### Compute gradient and Hessian at the same time (to save computing ### time) nx <- length(x) fx <- if(!is.null(fx)) fx else fun(x, ...) stopifnot(length(fx) == 1) H <- array(NA, dim=c(nx, nx)) g <- numeric(nx) for(j in 1:nx) { ## Diagonal elements: xadd <- xsub <- x xadd[j] <- x[j] + delta xsub[j] <- x[j] - delta fadd <- fun(xadd, ...) fsub <- fun(xsub, ...) H[j, j] <- (fadd - 2 * fx + fsub) / delta^2 g[j] <- (fadd - fsub) / (2 * delta) ## Off diagonal elements: for(i in 1:nx) { if(i >= j) break ## Compute upper triangular elements: xaa <- xas <- xsa <- xss <- x xaa[c(i, j)] <- x[c(i, j)] + c(delta, delta) xas[c(i, j)] <- x[c(i, j)] + c(delta, -delta) xsa[c(i, j)] <- x[c(i, j)] + c(-delta, delta) xss[c(i, j)] <- x[c(i, j)] - c(delta, delta) H[i, j] <- H[j, i] <- (fun(xaa, ...) - fun(xas, ...) - fun(xsa, ...) + fun(xss, ...)) / (4 * delta^2) } } list(gradient = g, Hessian = H) } myhess <- function(fun, x, fx=NULL, delta=1e-4, ...) { nx <- length(x) fx <- if(!is.null(fx)) fx else fun(x, ...) H <- array(NA, dim=c(nx, nx)) for(j in 1:nx) { ## Diagonal elements: xadd <- xsub <- x xadd[j] <- x[j] + delta xsub[j] <- x[j] - delta H[j, j] <- (fun(xadd, ...) - 2 * fx + fun(xsub, ...)) / delta^2 ## Upper triangular (off diagonal) elements: for(i in 1:nx) { if(i >= j) break xaa <- xas <- xsa <- xss <- x xaa[c(i, j)] <- x[c(i, j)] + c(delta, delta) xas[c(i, j)] <- x[c(i, j)] + c(delta, -delta) xsa[c(i, j)] <- x[c(i, j)] + c(-delta, delta) xss[c(i, j)] <- x[c(i, j)] - c(delta, delta) H[i, j] <- (fun(xaa, ...) - fun(xas, ...) - fun(xsa, ...) + fun(xss, ...)) / (4 * delta^2) } } ## Fill in lower triangle: H[lower.tri(H)] <- t(H)[lower.tri(H)] H } mygrad <- function(fun, x, delta = 1e-4, method = c("central", "forward", "backward"), ...) { method <- match.arg(method) nx <- length(x) if(method %in% c("central", "forward")) { Xadd <- matrix(rep(x, nx), nrow=nx, byrow=TRUE) + diag(delta, nx) fadd <- apply(Xadd, 1, fun, ...) } if(method %in% c("central", "backward")) { Xsub <- matrix(rep(x, nx), nrow=nx, byrow=TRUE) - diag(delta, nx) fsub <- apply(Xsub, 1, fun, ...) ## eval.parent perhaps? } res <- switch(method, "forward" = (fadd - fun(x, ...)) / delta, "backward" = (fun(x, ...) - fsub) / delta, "central" = (fadd - fsub) / (2 * delta) ) res } grad.ctr3 <- function(fun, x, delta=1e-4, ...) { nx <- length(x) Xadd <- matrix(rep(x, nx), nrow=nx, byrow=TRUE) + diag(delta, nx) Xsub <- matrix(rep(x, nx), nrow=nx, byrow=TRUE) - diag(delta, nx) fadd <- apply(Xadd, 1, fun, ...) fsub <- apply(Xsub, 1, fun, ...) ## eval.parent perhaps? (fadd - fsub) / (2 * delta) } grad.ctr2 <- function(fun, x, delta=1e-4, ...) { ans <- x for(i in seq_along(x)) { xadd <- xsub <- x xadd[i] <- x[i] + delta xsub[i] <- x[i] - delta ans[i] <- (fun(xadd, ...) - fun(xsub, ...)) / (2 * delta) } ans } grad.ctr <- function(fun, x, delta=1e-4, ...) { sapply(seq_along(x), function(i) { xadd <- xsub <- x xadd[i] <- x[i] + delta xsub[i] <- x[i] - delta (fun(xadd, ...) - fun(xsub, ...)) / (2 * delta) }) } lmerTest/R/satterth.R0000644000176200001440000002015413207075344014242 0ustar liggesusers## calculates satterthwate's approximation ## L is a matrix or a vector calcSatt <- function(rho, L, isF = TRUE, calcSS = TRUE){ if(is.vector(L)) result <- calcSatterth1DF(rho, L, isF) else result <- calcSatterthMultDF(rho, L) if(!calcSS){ result$ss <- NULL result$ms <- NULL } result } ## calculates t-test with satterthwate's approximation calcSatterth1DF <- function(rho, L, isF = TRUE){ result <- matrix(0, nrow = 1, ncol = 4) colnames(result) <- c("df", "t value", "p-value", "sqrt.varcor") vss <- vcovLThetaL(rho$model) g <- mygrad(function(x) vss(t(L), x), c(rho$thopt, rho$sigma)) denom <- t(g) %*% rho$A %*% g varcor <- vss(t(L), c(rho$thopt, rho$sigma)) ## for the theta and sigma parameters ## df result[,1] <- 2*(varcor)^2/denom ## statistics result[,2] <- (L %*% rho$fixEffs)/sqrt(varcor) result[,3] <- 2*(1 - pt(abs(result[,2]), df = result[,1])) result[,4] <- sqrt(varcor) if(isF){ F.stat <- result[,2]^2 ss <- ms <- F.stat * rho$sigma^2 return(list(ss = ss, ms = ms, denom = result[,1], Fstat = F.stat, pvalue = result[,3], ndf=1)) } else return(result) } ## calculates t test with KR approximation uses vcovAdj function ## from pbkrtest package calcKR1DF <- function(rho, L){ if (!requireNamespace("pbkrtest", quietly = TRUE)) stop("pbkrtest package required for Kenward-Roger's approximations") result <- matrix(0, nrow = 1, ncol = 4) colnames(result) <- c("df", "t value", "p-value", "sqrt.varcor") Va <- pbkrtest::vcovAdj(rho$model) .ddf <- pbkrtest::get_ddf_Lb(rho$model, L) b.hat <- rho$fixEffs Lb.hat <- sum(L * b.hat) Va.Lb.hat <- t(L) %*% Va %*% L t.stat <- as.numeric(Lb.hat / sqrt(Va.Lb.hat)) p.value <- 2 * pt(abs(t.stat), df = .ddf, lower.tail = FALSE) result[,1] <- .ddf result[,2] <- t.stat result[,3] <- p.value result[,4] <- as.numeric(sqrt(Va.Lb.hat)) result } ## calculates F test with KR approximation uses KRmodcomp function ## from pbkrtest package calcKRMultDF <- function(rho, Lc){ if (!requireNamespace("pbkrtest", quietly = TRUE)) stop("pbkrtest package required for Kenward-Roger's approximations") if(is.vector(Lc)) res.KR <- pbkrtest::KRmodcomp( rho$model, t(as.matrix(Lc)) ) else res.KR <- pbkrtest::KRmodcomp( rho$model, Lc ) ## calculate ms and ss ms <- res.KR$test[1,"stat"] * rho$sigma^2 ss <- ms * res.KR$test[1,"ndf"] return(list(denom = res.KR$test[1,"ddf"], Fstat = res.KR$test[1,"stat"], pvalue = res.KR$test[1,"p.value"], ndf = res.KR$test[1,"ndf"], ss = ss , ms = ms)) } ## calculates F statistics with Satterthwaite's approximation ## L is a matrix calcSatterthMultDF <- function(rho, Lc){ # F statistics for tested term vcov.final <- as.matrix(vcov(rho$model)) if(is.vector(Lc)) C.theta.optim <- as.matrix(t(Lc) %*% vcov.final %*% Lc) else C.theta.optim <- as.matrix(Lc %*% vcov.final %*% t(Lc)) invC.theta <- tryCatch({solve(C.theta.optim)}, error = function(e) { NULL }) if(is.null(invC.theta)) return(list(denom = 0, Fstat = NA, pvalue = NA, ndf=NA, ss = NA, ms = NA)) q <- qr(C.theta.optim)$rank F.stat <- (t(Lc %*% rho$fixEffs) %*% invC.theta %*% (Lc %*% rho$fixEffs)) / q #df for F statistics for tested term svdec <- eigen(C.theta.optim) PL <- t(svdec$vectors) %*% Lc vss2 <- vcovTheta(rho$model) theopt <- c(rho$thopt, rho$sigma) g <- mygrad(function(x) vss2(x), theopt) if(class(g) == "numeric") mat.grad <- llply(1:length(theopt), function(x) matrix(g[x], ncol = ncol(vcov.final), nrow = nrow(vcov.final))) else mat.grad <- llply(1:length(theopt), function(x) matrix(g[, x], ncol = ncol(vcov.final), nrow = nrow(vcov.final))) nu.m.fun <- function(m){ den.nu <- unlist(llply(1:length(mat.grad), function(x) as.matrix(t(PL[m,]) %*% mat.grad[[x]] %*% PL[m,]))) 2*(svdec$values[m])^2/(t(den.nu) %*% rho$A %*% den.nu) } nu.m <- unlist(llply(1:length(svdec$values), .fun = nu.m.fun)) nu.m[which(abs(2 - nu.m) < 1e-5)] <- 2.00001 E <- sum( (nu.m/(nu.m-2)) * as.numeric(nu.m>2)) nu.F <- 2 * E * as.numeric(E > q) / (E - q) pvalueF <- 1 - pf(F.stat,qr(Lc)$rank, nu.F) # calculate ss and ms if(is.na(F.stat)) ms <- ss <- NA else{ ms <- F.stat * rho$sigma^2 ss <- ms * q } ## calculate ss from camp method proc glm ## ss <- getSS(Lc, rho$fixEffs ,ginv(rho$XtX)) return( list(ss = ss, ms = ms, denom = nu.F, Fstat = F.stat, pvalue = pvalueF, ndf=q)) } ## calculates asymptotic variance covariance matrix of variance parameters based on theta calcApvar <- function(rho){ ## based on theta parameters and sigma dd <- devfunTheta(rho$model) h <- myhess(dd, c(rho$thopt, sigma = rho$sigma)) ch <- try(chol(h), silent=TRUE) if(inherits(ch, "try-error")) { message("Error in calculation of the Satterthwaite's approximation. The output of lme4 package is returned") } A <- 2*chol2inv(ch) eigval <- eigen(h, symmetric=TRUE, only.values=TRUE)$values isposA <- TRUE if(min(eigval) < sqrt(.Machine$double.eps)) ## tol ~ sqrt(.Machine$double.eps) isposA <- FALSE if(!isposA) print("Asymptotic covariance matrix A is not positive!") A } ## devfun function as a function of optimal parameters devfunTheta <- function (fm) { stopifnot(is(fm, "merMod")) np <- length(fm@pp$theta) nf <- length(fixef(fm)) if (!isGLMM(fm)) np <- np + 1L n <- nrow(fm@pp$V) ff <- updateModel(fm, devFunOnly = TRUE) reml <- getME(fm, "is_REML") envff <- environment(ff) if (isLMM(fm)) { ans <- function(thpars) { stopifnot(is.numeric(thpars), length(thpars) == np) #.Call("lmer_Deviance", pp$ptr(), resp$ptr(), thpars[-np], PACKAGE = "lme4") ff(thpars[-np]) sigsq <- thpars[np]^2 dev <- envff$pp$ldL2() + (envff$resp$wrss() + envff$pp$sqrL(1))/sigsq + n * log(2 * pi * sigsq) if(reml){ p <- ncol(envff$pp$RX()) dev <- dev + 2*determinant(envff$pp$RX())$modulus - p * log(2 * pi * sigsq) } return(dev) } } attr(ans, "thopt") <- fm@pp$theta class(ans) <- "devfunTheta" ans } ## returns Lc %*% vcov as a function of theta parameters %*% t(Lc) vcovLThetaL <- function(fm) { stopifnot(is(fm, "merMod")) np <- length(fm@pp$theta) nf <- length(fixef(fm)) if 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lmerTest/DESCRIPTION0000644000176200001440000000242213210000333013540 0ustar liggesusersPackage: lmerTest Type: Package Title: Tests in Linear Mixed Effects Models Version: 2.0-36 Authors@R: c(person("Alexandra", "Kuznetsova", role = c("aut")), person("Per", "Bruun Brockhoff", role = c("aut", "ths", "cre"), email = "perbb@dtu.dk"), person("Rune", "Haubo Bojesen Christensen", role = c("aut"), email = "Rune@ChristensenStatistics.dk")) Depends: R (>= 3.0.0), Matrix, stats, methods, lme4 (>= 1.0) Imports: plyr, MASS, Hmisc, ggplot2 Suggests: pbkrtest, nlme, estimability Description: Different kinds of tests for linear mixed effects models as implemented in 'lme4' package are provided. The tests comprise types I - III F tests for fixed effects, LR tests for random effects. The package also provides the calculation of population means for fixed factors with confidence intervals and corresponding plots. Finally the backward elimination of non-significant effects is implemented. LazyData: TRUE License: GPL (>= 2) NeedsCompilation: no Packaged: 2017-11-29 20:49:20 UTC; rhbc Author: Alexandra Kuznetsova [aut], Per Bruun Brockhoff [aut, ths, cre], Rune Haubo Bojesen Christensen [aut] Maintainer: Per Bruun Brockhoff Repository: CRAN Date/Publication: 2017-11-30 13:00:11 UTC lmerTest/man/0000755000176200001440000000000013207071002012614 5ustar liggesuserslmerTest/man/summary-methods.Rd0000644000176200001440000000225412551716375016270 0ustar liggesusers\name{summary-methods} \docType{methods} \alias{summary,merModLmerTest-method} \alias{summary.merModLmerTest} \title{Methods for Function \code{summary} in Package \pkg{lmerTest}} \description{ Methods for function \code{summary} in package \pkg{lmerTest} } \section{Methods}{ \describe{ \item{\code{signature(object = "merModLmerTest" ,ddf = "Satterthwaite" ,\dots)}}{ summary of the results of linear mixed effects model fitting of object. Returns the same output as summary of "merMod" class but with additional columns with the names \code{"df"}, \code{"t value"} and \code{"Pr(>t)"} representing degrees of freedom, \code{t}-statistics and \code{p}-values respectively calculated based on Satterthwaite's or Kenward-Roger's approximations. \code{\link{summary}} } }} \keyword{methods} \examples{ (fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)) ## will give you an additional column with p values for the t test summary(fm1) ##using Kenward-Roger approximations to degrees of freedom if(require(pbkrtest)) summary(fm1, ddf="Kenward-Roger") #will give the summary of lme4 package summary(fm1, ddf="lme4") }lmerTest/man/lmerTest-package.Rd0000644000176200001440000000722613207104165016311 0ustar liggesusers\name{lmerTest-package} \alias{lmerTest-package} \alias{lmerTest} \docType{package} \title{ The package performs different kinds of tests on lmer objects, such as \verb{F} tests of types I - III hypotheses for the fixed part, likelihood ratio tests for the random part, least squares means (population means) and differences of least squares means for the factors of the fixed part with corresponding plots. The package also provides with a function step, that preforms backward elimination of non-significant effects, starting from the random effects, and then fixed ones. } \description{ The package provides anova function, that gives data frame similar to what gives \pkg{lme4} package but with \verb{p}-values calculated from \verb{F} statistics of types I - III hypotheses. There are two options for denominator degrees of freedom of \verb{F} statistics: "Satterthwaite" and "Kenward-Roger". The calculation of anova with Kenward-Roger's approximation is based on function from \pkg{pbkrtest} package, the calculation of Satterthwaite's approximation is based on SAS proc mixed theory (see reference). The package also provides \code{summary} function, which gives the same as \pkg{lme4} package summary function but with \verb{p}-values and degrees of freedom added for the \verb{t}-test (based on Satterthwaite approximation for denominator degrees of freedom). The tests on random effects are performed using likelihood ratio tests. } \details{ \tabular{ll}{ Package: \tab lmerTest\cr Type: \tab Package\cr Version: \tab 1.0\cr Date: \tab 2012-01-10\cr License: \tab GPL\cr } The calculation of statistics for the fixed part was developed according to SAS Proc Mixed Theory (see reference). } \author{ Alexandra Kuznetsova , Per Bruun Brockhoff, Rune Haubo Bojesen Christensen } \references{ Alexandra Kuznetsova, Per B. Brockhoff and Rune H.B. Christensen (2017) lmerTest Package: Tests in Linear Mixed Effects Models. \emph{Journal of Statistical Software}, 82(13), 1--26. doi:10.18637/jss.v082.i13 SAS Technical Report R-101 1978 Tests of Hypotheses in Fixed-Effects Linear Models \emph{Copyright (C)} (SAS Institute Inc., Cary, NC, USA) Goodnight, J.H. 1976 General Linear Models Procedure (S.A.S. Institute, Inc.) Schaalje G.B., McBride J.B., Fellingham G.W. 2002 Adequacy of approximations to distributions of test Statistics in complex mixed linear models } %%~~ Optionally other standard keywords, one per line, from file KEYWORDS in the R documentation ~~ %%~~ directory ~~ %%\keyword{ package } %%\seealso{ %%~~ Optional links to other man pages, e.g. ~~ %%~~ \code{\link[:-package]{}} ~~ %%} \examples{ ## import lmerTest package library(lmerTest) ## an object of class merModLmerTest m <- lmer(Informed.liking ~ Gender+Information+Product +(1|Consumer), data=ham) ## gives summary of lmer object. The same as of class merMod but with ## additional p-values calculated based on Satterthwate's approximations summary(m) ## anova table the same as of class merMod but with additional F statistics and ## and denominator degrees of freedom and ## p-values calculated based on Satterthwaite's approximations anova(m) ## anova table the same as of class merMod but with additional F statistics and ## denominator degrees of freedom and ## p-values calculated based on Kenward-Roger's approximations \dontrun{ if(requireNamespace("pbkrtest", quietly = TRUE)) anova(m, ddf = "Kenward-Roger") } ## anova table of class merMod anova(m, ddf="lme4") ## backward elimination of non-significant effects of model m st <- step(m) plot(st) } lmerTest/man/ham.Rd0000644000176200001440000000333112551716375013674 0ustar liggesusers\name{ham} \alias{ham} \title{ Conjoint study of dry cured ham } \description{ One of the purposes of the study was to investigate the effect of information given to the consumers measured in hedonic liking for the hams. Two of the hams were Spanish and two were Norwegian, each origin representing different salt levels and different aging time. The information about origin was given in such way that both true and false information was given. essentially a 4*2 design with 4 samples and 2 information levels. A total of 81 Consumers participated in the study. } \usage{ ham } \format{ \describe{ \item{\code{Consumer}}{ factor with 81 levels: numbering identifying consumers } \item{\code{Product}}{ factor with four levels } \item{\code{Informed.liking}}{ numeric: hedonic liking for the products } \item{\code{Information}}{ factor with two levels } \item{\code{Gender}}{ factor with two levels (gender) } \item{\code{Age}}{ numeric: age of Consumer } }} \references{ "Alternative methods for combining design variables and consumer preference with information about attitudes and demographics in conjoint analysis" . T. Naes, V.Lengard, S. Bolling Johansen, M. Hersleth } \examples{ #import lmerTest package library(lmerTest) m <- lmer(Informed.liking ~ Product*Information*Gender + (1|Product:Consumer) , data=ham) #anova table with p-values with Satterthwaite's approximation for denominator #degrees of freedom anova(m) #analysis of random and fixed parts and post hoc #analysis of Product and Information effects step(m, reduce.random=FALSE, reduce.fixed=FALSE, test.effs=c("Product", "Information")) } \keyword{datasets} lmerTest/man/lsmeans.Rd0000644000176200001440000000435313017655037014571 0ustar liggesusers\name{lsmeans} \alias{lsmeans} %- Also NEED an '\alias' for EACH other topic documented here. \title{ Calculates Least Squares Means and Confidence Intervals for the factors of a fixed part of mixed effects model of lmer object. } \description{ Produces a data frame which resembles to what SAS software gives in proc mixed statement. The approximation of degrees of freedom is Satterthwate's. This is a deprecated function, use lsmeansLT function instead. } \usage{ lsmeans(model, test.effs = NULL, ddf="Satterthwaite", ...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{model}{ linear mixed effects model (lmer object). } \item{test.effs}{ charachter vector specyfying the names of terms to be tested. If NULL all the terms are tested. } \item{ddf}{By default the Satterthwaite's approximation to degrees of freedom is calculated. If ddf="Kenward-Roger", then the Kenward-Roger's approximation is calculated using \code{KRmodcomp} function from \pkg{pbkrtest} package. If ddf="lme4" then the anova table that comes from \pkg{lme4} package is returned} \item{\dots}{ other potential arguments. } } \value{ Produces Least Squares Means (population means) table with p-values and Confidence intervals. } \references{ \pkg{doBy} package, \pkg{gplots} package } \author{ Alexandra Kuznetsova, Per Bruun Brockhoff, Rune Haubo Bojesen Christensen } \note{ For construction of the contrast matrix \code{popMatrix} function from \pkg{doBy} package was used. } %% ~Make other sections like Warning with \section{Warning }{....} ~ \seealso{ \code{\link{step}}, \code{\link{rand}}, \code{\link{lsmeansLT}}, \code{\link{difflsmeans}} } \examples{ ## import lme4 package and lmerTest package library(lmerTest) ## specify lmer model m1 <- lmer(Informed.liking ~ Gender*Information +(1|Consumer), data=ham) \dontrun{ ## calculate least squares means for interaction Gender:Information lsmeans(m1, test.effs="Gender:Information") m <- lmer(Coloursaturation ~ TVset*Picture + (1|Assessor), data=TVbo) plot(lsmeans(m)) lsmeans(m, test.effs="TVset") } } % R documentation directory. %%\keyword{ ~kwd1 } %%\keyword{ ~kwd2 }% __ONLY ONE__ keyword per line lmerTest/man/rand.Rd0000644000176200001440000000304212705121564014041 0ustar liggesusers\name{rand} \alias{rand} %- Also NEED an '\alias' for EACH other topic documented here. \title{ Performs likelihood ratio test on random effects of linear mixed effects model. } \description{ Returns a data frame with values of Chi square statistics and corresponding p-values of likelihood ratio tests. } \usage{ rand(model, \dots) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{model}{ linear mixed effects model (lmer object). } \item{\dots}{ other potential arguments. } } \value{ Produces a data frame with LR tests for the random terms. } \details{ The columns of the data are: Chisq: The value of the chi square statistics Chi Df: The degrees of freedom for the test p.value: The p-value of the likelihood ratio test for the effect } %%\references{ %% ~put references to the literature/web site here ~ %%} \author{ Alexandra Kuznetsova, Per Bruun Brockhoff, Rune Haubo Bojesen Christensen } %% ~Make other sections like Warning with \section{Warning }{....} ~ \seealso{ \code{\link{step}}, \code{\link{lsmeans}}, \code{\link{difflsmeans}} } \examples{ #import lme4 package and lmerTest package library(lmerTest) #lmer model with correlation between intercept and slopes #in the random part m <- lmer(Preference ~ sens2+Homesize+(1+sens2|Consumer), data=carrots) # table with p-values for the random effects rand(m) % R documentation directory. %%\keyword{ ~kwd1 } %%\keyword{ ~kwd2 }% __ONLY ONE__ keyword per line }lmerTest/man/carrots.Rd0000644000176200001440000000511112551716375014602 0ustar liggesusers\name{carrots} \alias{carrots} \title{ Consumer preference mapping of carrots } \description{ In a consumer study 103 consumers scored their preference of 12 danish carrot types on a scale from 1 to 7. Moreover the consumers scored the degree of sweetness, bitterness and crispiness in the products. The carrots were harvested in autumn 1996 and tested in march 1997. In addition to the consumer survey, the carrot products were evaluated by a trained panel of tasters, the sensory panel, with respect to a number of sensory (taste, odour and texture) properties. Since usually a high number of (correlated) properties(variables) are used, in this case 14, it is a common procedure to use a few, often 2, combined variables that contain as much of the information in the sensory variables as possible. This is achieved by extracting the first two principal components in a principal components analysis(PCA) on the product-by-property panel average data matrix. In this data set the variables for the first two principal components are named (\code{sens1} and \code{sens2}). } \usage{ carrots } \format{ \describe{ \item{\code{Consumer}}{ factor with 103 levels: numbering identifying consumers } \item{\code{Frequency}}{ factor with 5 levels; "How often do you eat carrots?" 1: once a week or more, 2: once every two weeks, 3: once every three weeks, 4: at least once month, 5: less than once a month } \item{\code{Gender}}{ factor with 2 levels. 1: male, 2:female } \item{\code{Age}}{ factor with 4 levels. 1: less than 25 years, 2: 26-40 years, 3: 41-60 years, 4 more than 61 years } \item{\code{Homesize}}{ factor with two levels. Number of persons in the household. 1: 1 or 2 persons, 2: 3 or more persons } \item{\code{Work}}{ factor with 7 levels. different types of employment. 1: unskilled worker(no education), 2: skilled worker(with education), 3: office worker, 4: housewife (or man), 5: independent businessman/ self-employment, 6: student, 7: retired } \item{\code{Income}}{ factor with 4 levels. 1: <150000, 2: 150000-300000, 3: 300000-500000, 4: >500000 } }} \source{ Per Bruun Brockhoff, The Royal Veterinary and Agricultural University, Denmark. } \examples{ #import lme4 package and lmerTest package library(lmerTest) m.carrots <- lmer(Preference ~ sens2 + Homesize +(1+sens2|Consumer), data=carrots) # only elimination of the random part is required. #approximation of ddf is Satterthwaite step(m.carrots, reduce.random = FALSE) } \keyword{datasets} lmerTest/man/TVbo.Rd0000644000176200001440000000254212712144403013766 0ustar liggesusers\name{TVbo} \alias{TVbo} \title{ TV dataset } \description{ The \code{TVbo} dataset comes from Bang and Olufsen company. The main purpose was to test products, specified by two attributes Picture and TVset. 15 different response variables (characteristics of the product) were assessed by trained panel list. } \usage{ TVbo } \format{ \describe{ \item{\code{Assessor}}{ factor: numbering identifying assessors } \item{\code{TVset}}{ factor: attribute of the product } \item{\code{Picture}}{ factor: attribute of the product } \item{\code{15 Characteristics of the product}}{ numeric variables: Coloursaturation, Colourbalance, Noise, Depth, Sharpness, Lightlevel, Contrast, Sharpnessofmovement, Flickeringstationary, Flickeringmovement, Distortion, Dimglasseffect, Cutting, Flossyedges, Elasticeffect } }} \source{ Bang and Olufsen company } \examples{ ## import lme4 package and lmerTest package library(lmerTest) \dontshow{ m <- lmer(log(Coloursaturation)~TVset*Picture+ (1|Assessor)+(1|Assessor:TVset), data=TVbo) step(m, test.effs="TVset", reduce.fixed=TRUE, reduce.random=TRUE) } \dontrun{ m <- lmer(Coloursaturation ~ TVset*Picture+ (1|Assessor)+(1|Assessor:TVset), data=TVbo) step(m, test.effs="TVset", reduce.fixed=FALSE, reduce.random=TRUE) } } \keyword{datasets} lmerTest/man/step.Rd0000644000176200001440000001260012551716375014101 0ustar liggesusers\name{step} \alias{step} %- Also NEED an '\alias' for EACH other topic documented here. \title{ Performs backward elimination of non-significant effects of linear mixed effects model: } \description{ performs automatic backward elimination of all effects of linear mixed effect model. First backward elimination of the random part is performed following by backward elimination of the fixed part. Finally LSMEANS (population means) and differences of LSMEANS for the fixed part of the model are calculated and the final model is provided. The \verb{p}-values for the fixed effects are calculated from \verb{F} test based on Sattethwaite's or Kenward-Roger approximation), \verb{p}-values for the random effects are based on likelihood ratio test. All analysis may be performed on \code{lmer} object of \pkg{lme4} package. } \usage{ step(model, ddf = "Satterthwaite", type = 3, alpha.random = 0.1, alpha.fixed = 0.05, reduce.fixed = TRUE, reduce.random = TRUE, fixed.calc = TRUE, lsmeans.calc = TRUE, difflsmeans.calc = TRUE, test.effs = NULL, keep.effs = NULL, ...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{model}{ linear mixed effects model (lmer object). } \item{ddf}{ approximation for denominator degrees of freedom. By default Satterthwaite's approximation. ddf="Kenward-Roger"" calculates Kenward-Roger approximation } \item{type}{ type of hypothesis to be tested (SAS notation). Either type=1 or type=3. } \item{alpha.random}{ significance level for elimination of the random part (for LRT test) } \item{alpha.fixed}{ significance level for elimination of the fixed part (for \code{F} test and \code{t}-test for least squares means) } \item{reduce.fixed}{ logical for whether the reduction of the fixed part is required } \item{reduce.random}{ logical for whether the reduction of the random part is required } \item{fixed.calc}{ logical for whether the calculation of the table for fixed effects is needed. If FALSE then only the analysis of random effects is done } \item{lsmeans.calc}{ logical for whether the calculation of LSMEANS(population means) is required } \item{difflsmeans.calc}{ logical for whether the calculation of differences of LSMEANS is required } \item{test.effs}{ charachter vector specifying the names of terms to be tested in LSMEANS. If NULL all the terms are tested. If \code{lsmeans.calc==FALSE} then LSMEANS are not calculated. } \item{keep.effs}{ charachter vector specifying the names of terms to be kept in the model even if being non-significant } \item{\dots}{ other potential arguments. } } \details{ Elimination of all effects is done one at a time. Elimination of the fixed part is done by the principle of marginality that is: the highest order interactions are tested first: if they are significant, the lower order effects are not tested for significance. The step function of lmerTest overrides the one from stats package for lm objects. So if the lmerTest is attached and one wants to call step fof lm object, then needs to use stats::step } \value{ %% ~Describe the value returned %% If it is a LIST, use \item{rand.table}{data frame with value of Chi square statistics, p-values for the likelihood ratio test for random effects} \item{anova.table }{data frame with tests for whether the model fixed terms are significant (Analysis of Variance)} \item{lsmeans.table}{Least Squares Means data frame with p-values and Confidence intervals} \item{diffs.lsmeans.table}{Differences of Least Squares Means data frame with p-values and Confidence intervals} \item{model}{Final model - object of merLmerTest(contains mer class) or gls (after all the required reduction has been performed)} } %% ... \author{ Alexandra Kuznetsova, Per Bruun Brockhoff, Rune Haubo Bojesen Christensen } \note{ For the random coefficient models: in the random part if correlation is present between slope and intercept, then the simplified model will contain just an intercept. That is if the random part of the initial model is \code{(1+c|f)}, then this model is compared to \code{(1|f)} by using LRT. If there are multiple slopes, then the the slope with the highest \verb{p}-value (and higher then alpha level) is eliminated. That is if the random part of the initial model has the following form \code{(1+c1+c2|f)}, then two simplified models are constracted and compared to the initial one: the first one has \code{(1+c1|f)} in the random part and the second one has: \code{(1+c2|f)}. } %% ~Make other sections like Warning with \section{Warning }{....} ~ \seealso{ \code{\link{rand}}, \code{\link{lsmeans}}, \code{\link{difflsmeans}} } \examples{ #import lme4 package and lmerTest package library(lmerTest) \dontrun{ m <- lmer(Informed.liking ~ Product*Information*Gender+ (1|Consumer) + (1|Product:Consumer), data=ham) #elimination of non-significant effects s <- step(m) #plot of post-hoc analysis of the final model plot(s) m <- lmer(Coloursaturation ~ TVset*Picture+ (1|Assessor)+(1|Assessor:TVset), data=TVbo) step(m, keep.effs = "Assessor") } % Add one or more standard keywords, see file 'KEYWORDS' in the % R documentation directory. %\keyword{ ~kwd1 } %\keyword{ ~kwd2 }% __ONLY ONE__ keyword per line }lmerTest/man/lmer.Rd0000644000176200001440000000251412551716375014070 0ustar liggesusers\name{lmer} \alias{lmer} \title{Fit Linear Mixed-Effects Models} \description{ Fit a linear mixed model } \details{ This \code{lmer} function is an overloaded function of \code{lmer} (\code{merMod} class from \pkg{lme4} package). } \value{ An object of class \code{"\linkS4class{merModLmerTest}"} } \seealso{ \code{\linkS4class{merModLmerTest}} class } \examples{ library(lmerTest) ## linear mixed models fm1 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy) fm2 <- lmer(Reaction ~ Days + (1|Subject) + (0+Days|Subject), sleepstudy) # anova table the same as of class merMod but with additional F statistics and # p-values calculated based on Satterthwaite's approximations anova(fm1) # anova table the same as of class merMod but with additional F statistics and # p-values calculated based on Kenward-Roger's approximations \dontrun{ if(requireNamespace("pbkrtest", quietly = TRUE)) anova(fm1, ddf="Kenward-Roger") # anova table the same as of class merMod anova(fm1, ddf="lme4") } # gives summary of merModLmerTest class. The same as of class merMod but with # additional p-values calculated based on Satterthwate's approximations summary(fm1) ## multiple comparisons statistics. The one from lme4 package \dontrun{ anova(fm1, fm2) } } \keyword{models} \keyword{methods} lmerTest/man/calcSatterth.Rd0000644000176200001440000000372112717015641015543 0ustar liggesusers\name{calcSatterth} \alias{calcSatterth} %- Also NEED an '\alias' for EACH other topic documented here. \title{ F-test based on the Satterthwaite's approximation for denominator degrees of freedom. } \description{ Produces a list with the values for an approximate F-test based on the Satterthwaite's approximation. } \usage{ calcSatterth(model, L) } \arguments{ \item{model}{ linear mixed effects model (lmer object). } \item{L}{ hypothesis contrast matrix or a vector } \item{\dots}{ other potential arguments.} } \value{ A list with the results from the F test \item{denom}{numeric. Denominator degrees of freedom, calculated with the Satterthwaite's approximation} \item{Fstat}{numeric. F statistic} \item{pvalue}{numeric. p-value of the corresponding F test} \item{ndf}{numeric. Numerator degrees of freedom} } \details{ F test for the null hypothesis \eqn{H_0: L \beta = 0}, where \eqn{\beta} is a vector of the same length as \code{fixef(model)} } \references{ Schaalje G.B., McBride J.B., Fellingham G.W. 2002 Adequacy of approximations to distributions of test Statistics in complex mixed linear models } \author{ Alexandra Kuznetsova, Per Bruun Brockhoff, Rune Haubo Bojesen Christensen } \seealso{ \code{\link{anova}} } \examples{ ## import lme4 package and lmerTest package library(lmerTest) ## specify lmer model for the sleepstudy data from the lme4 package m <- lmer(Reaction ~ Days + (1 + Days|Subject), sleepstudy) L <- cbind(0,1) ## specify contrast vector calcSatterth(m, L) ## calculate F test ## specify model for the ham data m.ham <- lmer(Informed.liking ~ Product + (1|Consumer), data = ham) ## specify contrast vector for testing product effect L <- matrix(0, ncol = 4, nrow = 3) L[1,2] <- L[2,3] <- L[3,4] <- 1 calcSatterth(m.ham, L) ## by using anova function we get the same result anova(m.ham) } \keyword{function} lmerTest/man/merModLmerTest-class.Rd0000644000176200001440000000513012705357121017123 0ustar liggesusers\name{merModLmerTest-class} \title{Mixed Model Representations} \docType{class} % Classes \alias{merModLmerTest-class} %\alias{anova.merModLmerTest} %\alias{coef.mer-class} %\alias{summary.merModLmerTest} %\alias{ranef.mer-class} % Methods %\alias{anova,merLmerTest-method} %\alias{summary,merLmerTest-method} %\alias{summary,summary.merLmerTest-method} \description{The \code{merModLmerTest} \emph{contains} \code{merMod} class of \pkg{lme4} package and overloads \code{anova} and \code{summary} functions. } \section{Objects from the Class}{Objects can be created via the \code{\link{lmer}} functions. } %\section{Methods}{ %anova \code{signature(object = "merLmerTest", \dots)}: returns the data frame with F test for each term in formula and corresponding p-values. For multiple arguments, model comparison statistics. type=c(1,3) (type=3 is the default one) constructs corresponding hypothesis F test and calculates p-values, sum of squares and means squares. The definition of the types of hypotheses comes from SAS theory proc mixed. The approximations for degrees of freedom by default are Satterthwaite's (ddf="Satterthwaite"). If ddf="Kenward-Roger", then the Kenward-Roger's approximations are calculated using \code{KRmodcomp} function from \code{pbkrtest} package. If ddf="lme4" then the anova table that comes from \code{lme4} package is returned. %method.grad is an argument for the approximation method for the grad function, which is used in calculation of denominator degrees of freedom. method.grad could be "simple" or "Richardson". method.grad="simple" is the default one and the fastest one, method.grad="Richardson" gives more accurate results. % \code{\link{anova}} %} \seealso{ \code{\link{lmer}()} } \examples{ (m <- lmer(Reaction ~ Days + (1|Subject) + (0+Days|Subject), data = sleepstudy)) ## type 3 anova table with denominator degrees of freedom ## calculated based on Satterthwaite's approximation anova(m) ## type 1 anova table with denominator degrees of freedom ## calculated based on Satterthwaite's approximation \dontrun{ anova(m, type=1) } ## type3 anova table with additional F statistics and denominator degrees of freedom ## calculated based on Kenward-Roger's approximation \dontrun{ if(requireNamespace("pbkrtest", quietly = TRUE)) anova(m, ddf="Kenward-Roger") } ## anova table, that is returned by lme4 package anova(m, ddf="lme4") ## summary of merModLmerTest object. Returns the same as merMod object but with an ## additional column of p values for the t test. summary(m) } \keyword{classes} lmerTest/man/lsmeansLT.Rd0000644000176200001440000000447513017655002015026 0ustar liggesusers\name{lsmeansLT} \alias{lsmeansLT} %- Also NEED an '\alias' for EACH other topic documented here. \title{ Calculates Least Squares Means and Confidence Intervals for the factors of a fixed part of mixed effects model of lmer object. } \description{ Produces a data frame which resembles to what SAS software gives in proc mixed statement. The approximation of degrees of freedom is Satterthwate's. } \usage{ lsmeansLT(model, test.effs = NULL, ddf="Satterthwaite", ...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{model}{ linear mixed effects model (lmer object). } \item{test.effs}{ charachter vector specyfying the names of terms to be tested. If NULL all the terms are tested. } \item{ddf}{By default the Satterthwaite's approximation to degrees of freedom is calculated. If ddf="Kenward-Roger", then the Kenward-Roger's approximation is calculated using \code{KRmodcomp} function from \pkg{pbkrtest} package. If ddf="lme4" then the anova table that comes from \pkg{lme4} package is returned} \item{\dots}{ other potential arguments. } } \value{ Produces Least Squares Means (population means) table with p-values and Confidence intervals. } \references{ \pkg{doBy} package, \pkg{gplots} package } \author{ Alexandra Kuznetsova, Per Bruun Brockhoff, Rune Haubo Bojesen Christensen } \note{ This is a new name of the old function \code{lsmeans}. Reason for creating a new name is to not have conflicts with the \code{lsmeans} function of \pkg{lsmeans} package. For construction of the contrast matrix popMatrix function from \pkg{doBy} package was used. } %% ~Make other sections like Warning with \section{Warning }{....} ~ \seealso{ \code{\link{step}}, \code{\link{rand}}, \code{\link{difflsmeans}} } \examples{ ## import lme4 package and lmerTest package library(lmerTest) ## specify lmer model m1 <- lmer(Informed.liking ~ Gender*Information +(1|Consumer), data=ham) ## calculate least squares means for interaction Gender:Information lsmeansLT(m1, test.effs="Gender:Information") m <- lmer(Coloursaturation ~ TVset*Picture + (1|Assessor), data=TVbo) plot(lsmeansLT(m)) lsmeansLT(m, test.effs="TVset") } % R documentation directory. %%\keyword{ ~kwd1 } %%\keyword{ ~kwd2 }% __ONLY ONE__ keyword per line lmerTest/man/difflsmeans.Rd0000644000176200001440000000407013017645567015425 0ustar liggesusers\name{difflsmeans} \alias{difflsmeans} %- Also NEED an '\alias' for EACH other topic documented here. \title{ Calculates Differences of Least Squares Means and Confidence Intervals for the factors of a fixed part of mixed effects model of lmer object. } \description{ Produces a data frame which resembles to what SAS software gives in proc mixed statement. The approximation for degrees of freedom is Satterthwaite's. } \usage{ difflsmeans(model, test.effs=NULL, ddf="Satterthwaite",...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{model}{ linear mixed effects model (lmer object). } \item{test.effs}{ charachter vector specifying names of terms to be tested. If NULL all the terms are tested. } \item{ddf}{By default the Satterthwaite's approximation to degrees of freedom is calculated. If ddf="Kenward-Roger", then the Kenward-Roger's approximation is calculated using \code{KRmodcomp} function from \pkg{pbkrtest} package. If ddf="lme4" then the anova table that comes from \pkg{lme4} package is returned.} \item{\dots}{ other potential arguments. } } \value{ Produces Differences of Least Squares Means (population means) table with p-values and Confidence intervals. } %\references{ %% ~put references to the literature/web site here ~ %} \author{ Alexandra Kuznetsova, Per Bruun Brockhoff, Rune Haubo Bojesen Christensen } %% ~Make other sections like Warning with \section{Warning }{....} ~ \seealso{ \code{\link{lsmeansLT}}, \code{\link{step}}, \code{\link{rand}} } \examples{ ## import lme4 package and lmerTest package library(lmerTest) ## specify lmer model m1 <- lmer(Informed.liking ~ Gender*Information +(1|Consumer), data=ham) ## calculate least squares means for interaction Gender:Information difflsmeans(m1, test.effs="Gender:Information") m <- lmer(Coloursaturation ~ TVset*Picture + (1|Assessor), data=TVbo) plot(difflsmeans(m, test.effs="TVset")) } % R documentation directory. %%\keyword{ ~kwd1 } %%\keyword{ ~kwd2 }% __ONLY ONE__ keyword per line lmerTest/man/anova-methods.Rd0000644000176200001440000000476012732475365015705 0ustar liggesusers\name{anova-methods} \docType{methods} \alias{anova,ANY-method} \alias{anova,merModLmerTest-method} \alias{anova.merModLmerTest} \title{Methods for function \code{anova} in package \pkg{lmerTest}} \description{ Methods for Function \code{anova} in Package \pkg{lmerTest} } \usage{\S4method{anova}{merModLmerTest}(object, \dots , ddf="Satterthwaite", type=3)} \arguments{ \item{object}{object of class "merModLmerTest"} \item{\dots}{object of class "merModLmerTest". Then the model comparison statistisc will be calculated} \item{ddf}{By default the Satterthwaite's approximation to degrees of freedom is calculated. If ddf="Kenward-Roger", then the Kenward-Roger's approximation is calculated using \code{KRmodcomp} function from \pkg{pbkrtest} package. If ddf="lme4" then the anova table that comes from \pkg{lme4} package is returned.} \item{type}{type of hypothesis to be tested. Could be type=3 or type=2 or type = 1 (The definition comes from SAS theory) } } %}} \details{ According to (Goodnight, J.H. 1976) the behaviour of the type 3 hypothesis is not fully studied for the situations with missing cells (where observations are missing at some factor-level combination). A warning is returned in such cases. } \references{ SAS Technical Report R-101 1978 Tests of Hypotheses in Fixed-Effects Linear Models \emph{Copyright (C)} (SAS Institute Inc., Cary, NC, USA) Goodnight, J.H. 1976 General Linear Models Procedure (S.A.S. Institute, Inc.) Schaalje G.B., McBride J.B., Fellingham G.W. 2002 Adequacy of approximations to distributions of test Statistics in complex mixed linear models } \keyword{methods} \examples{ #import lmerTest package library(lmerTest) m.ham <- lmer(Informed.liking ~ Product*Information*Gender + (1|Consumer), data = ham) # type 3 anova table with denominator degrees of freedom # calculated based on Satterthwaite's approximation anova(m.ham) # type 1 anova table with denominator degrees of freedom # calculated based on Satterthwaite's approximation \dontrun{ anova(m.ham, type = 1) } # type3 anova table with additional F statistics and denominator degrees of freedom # calculated based on Kenward-Roger's approximation if(require(pbkrtest)) anova(m.ham, ddf = "Kenward-Roger") \dontrun{ # anova table, that is returned by lme4 package anova(m.ham, ddf = "lme4") } \dontshow{ \dontrun{ fm2 <- lmer(Preference ~ sens2 + I(sens1^2) + (1+sens2|Consumer), data=carrots) anova(fm2) } } }