ecodist/0000755000176000001440000000000012247443774011752 5ustar ripleyusersecodist/inst/0000755000176000001440000000000011316224322012705 5ustar ripleyusersecodist/inst/CITATION0000644000176000001440000000110011316224322014032 0ustar ripleyuserscitHeader("To cite package ecodist in publications use:") citEntry(entry="Article", title = "The ecodist package for dissimilarity-based analysis of ecological data", author = personList(as.person("Sarah C. Goslee"), as.person("Dean L. Urban")), journal = "Journal of Statistical Software", year = 2007, volume = 22, issue = 7, pages = "1-19", textVersion = paste("Goslee, S.C. and Urban, D.L. 2007.", "The ecodist package for dissimilarity-based analysis of ecological data.", "Journal of Statistical Software 22(7):1-19.") ) ecodist/src/0000755000176000001440000000000012247431412012523 5ustar ripleyusersecodist/src/Makevars0000644000176000001440000000004012247431377014223 0ustar ripleyusersPKG_LIBS=$(BLAS_LIBS) $(FLIBS) ecodist/src/ecodist.c0000644000176000001440000003410012247431426014324 0ustar ripleyusers#include #include #include /* for dgemm */ #define RANDIN GetRNGstate() #define RANDOUT PutRNGstate() #define UNIF unif_rand() #define S_EVALUATOR void bootstrap(double *x, double *y, int *n, int *xlen, int *nboot, double *pboot, double *bootcor, int *rarray, int *rmat, double *xdif, double *ydif) { int i, j, k, l; double r; double nsamp; double xmean, ymean; double xsum; double xxsum, yysum; S_EVALUATOR /* Set random seed using Splus function */ RANDIN; for(i = 0; i < *nboot; i++) { /* Set up rarray. */ for(j = 0; j < *n; j++) { r = UNIF; if(r > *pboot) rarray[j] = 0; else rarray[j] = 1; } /* Turn rarray into a lower-triangular sampling matrix. */ /* 1 means include, 0 means omit. */ l = 0; for(j = 1; j < *n; j++) { for(k = 0; k < j; k++) { if(rarray[j] == 0 || rarray[k] == 0) rmat[l] = 0; else rmat[l] = 1; l++; } } nsamp = 0; for(j = 0; j < *xlen; j++) { nsamp += rmat[j]; } /* Calculate means for x and y. */ xmean = 0; ymean = 0; for(j = 0; j < *xlen; j++) { if(rmat[j] == 1) { xmean += x[j]; ymean += y[j]; } } xmean = xmean/nsamp; ymean = ymean/nsamp; /* Calculate deviations for x and y. */ for(j = 0; j < *xlen; j++) { if(rmat[j] == 1) { xdif[j] = x[j] - xmean; ydif[j] = y[j] - ymean; } else { xdif[j] = 0; ydif[j] = 0; } } xsum = 0; xxsum = 0; yysum = 0; for(j = 0; j < *xlen; j++) { if(rmat[j] == 1) { xsum += (xdif[j] * ydif[j]); xxsum += (xdif[j] * xdif[j]); yysum += (ydif[j] * ydif[j]); } } bootcor[i] = (xsum) / sqrt(xxsum * yysum); } /* Reset random seed using an Splus function. */ RANDOUT; } void permute(double *x, double *y, int *n, int *xlen, int *nperm, double *zstats, double *tmat, int *rarray) { int i, k, l, m; double cumsum; int temp; S_EVALUATOR /* Set random seed using Splus function */ RANDIN; /* Calculate first z-statistic (unpermuted data). */ cumsum = 0; for(k = 0; k < *xlen; k++) { cumsum += x[k] * y[k]; } zstats[0] = cumsum / *xlen; /* Start permutation routine */ for(i = 1; i < *nperm; i++) { /* Set up rarray. */ for(k = 0; k < *n; k++) { rarray[k] = k; } /* Convert x to a full matrix. */ m = 0; for(k = 1; k < *n; k++) { for(l = 0; l < k; l++) { tmat[k * *n + l] = x[m]; tmat[l * *n + k] = x[m]; m++; } } /* Randomize rarray using an Splus function. */ for(k = 0; k < (*n - 1); k++) { l = *n - k - 1; m = (int)((float)l * UNIF); if(m > l) m = l; temp = rarray[l]; rarray[l] = rarray[m]; rarray[m] = temp; } /* Reorder x and take lower triangle. */ m = 0; for(k = 1; k < *n; k++) { for(l = 0; l < k; l++) { x[m] = tmat[rarray[k] * *n + rarray[l]]; m++; } } /* Calculate new sum of products. */ cumsum = 0; for(k = 0; k < *xlen; k++) { cumsum += x[k] * y[k]; } zstats[i] = cumsum / *xlen; } /* Reset random seed using an Splus function. */ RANDOUT; } void permpart(double *hmat, double *bmat, double *omat, double *y, double *xcor, double *ycor, int *n, int *ncol, int *xlen, int *nperm, double *zstats, double *tmat, int *rarray) { int i, k, l, m; double cumsum; double bsum; double w1, w2; int temp; S_EVALUATOR /* Set random seed using Splus function */ RANDIN; /* Calculate first z-statistic (unpermuted data). */ cumsum = 0; for(k = 0; k < *xlen; k++) { cumsum += xcor[k] * ycor[k]; } zstats[0] = cumsum / *xlen; /* Start permutation routine */ for(i = 1; i < *nperm; i++) { /* Set up rarray. */ for(k = 0; k < *n; k++) { rarray[k] = k; } /* Convert y to a full matrix. */ m = 0; for(k = 1; k < *n; k++) { for(l = 0; l < k; l++) { tmat[k * *n + l] = y[m]; tmat[l * *n + k] = y[m]; m++; } } /* Randomize rarray using an Splus function. */ for(k = 0; k < (*n - 1); k++) { l = *n - k - 1; m = (int)((float)l * UNIF); if(m > l) m = l; temp = rarray[l]; rarray[l] = rarray[m]; rarray[m] = temp; } /* Reorder y and take lower triangle. */ m = 0; for(k = 1; k < *n; k++) { for(l = 0; l < k; l++) { y[m] = tmat[rarray[k] * *n + rarray[l]]; m++; } } /* Calculate residuals for y */ /* Calculate bmat */ for(k = 0; k < *ncol; k++) { bmat[k] = 0; } for(k = 0; k < *ncol; k++) { for(l = 0; l < *xlen; l++) { bmat[k] = bmat[k] + hmat[l * *ncol + k] * y[l]; } } /* Calculate ycor (residuals) */ for(k = 0; k < *xlen; k++) { ycor[k] = 0; } for(k = 0; k < *xlen; k++) { bsum = 0; for(l = 0; l < *ncol; l++) { bsum = bsum + bmat[l] * omat[l * *xlen + k]; } ycor[k] = y[k] - bsum; } /* Standardize residuals so z = r */ w1 = 0; w2 = 0; for(k = 0; k < *xlen; k++) { w1 = w1 + ycor[k]; w2 = w2 + ycor[k] * ycor[k]; } w1 = w1 / *xlen; w2 = sqrt(w2 / *xlen - w1 * w1); for(k = 0; k < *xlen; k++) { ycor[k] = (ycor[k] - w1) / w2; } /* Calculate new sum of products. */ cumsum = 0; for(k = 0; k < *xlen; k++) { cumsum += xcor[k] * ycor[k]; } zstats[i] = cumsum / *xlen; } /* Reset random seed using an Splus function. */ RANDOUT; } void bcdist(double *x, int *pnrow, int *pncol, double *dist) { int i, j, k, l; int nrow, ncol; double sumi, sumj; double minsum; l = 0; nrow = *pnrow; ncol = *pncol; for(i = 0; i < (nrow - 1); i++) { for(j = (i + 1); j < (nrow); j++) { minsum = 0; sumi = 0; sumj = 0; for(k = 0; k < ncol; k++) { if(x[i * ncol + k] < x[j * ncol + k]) minsum += x[i * ncol + k]; else minsum += x[j * ncol + k]; sumi += x[i * ncol + k]; sumj += x[j * ncol + k]; } if((sumi + sumj) == 0) dist[l] = 0; else dist[l] = (1 - (2 * minsum) / (sumi + sumj)); l++; } } } void newpermone(double *x, int *dclass, int *n, int *xlen, int *nperm, double *zstats, double *tmat, int *rarray) { int i, k, l, m; double cumsum; int temp; S_EVALUATOR /* Set random seed using Splus function */ RANDIN; /* Calculate first z-statistic (unpermuted data). */ cumsum = 0; for(k = 0; k < *xlen; k++) { if(dclass[k] == 0) { cumsum += x[k]; } } zstats[0] = cumsum; /* Start permutation routine */ for(i = 1; i < *nperm; i++) { /* Set up rarray. */ for(k = 0; k < *n; k++) { rarray[k] = k; } /* Convert x to a full matrix. */ m = 0; for(k = 1; k < *n; k++) { for(l = 0; l < k; l++) { tmat[k * *n + l] = x[m]; tmat[l * *n + k] = x[m]; m++; } } /* Randomize rarray using an Splus function. */ for(k = 0; k < (*n - 1); k++) { l = *n - k - 1; m = (int)((float)l * UNIF); if(m > l) m = l; temp = rarray[l]; rarray[l] = rarray[m]; rarray[m] = temp; } /* Reorder x. */ m = 0; for(k = 1; k < *n; k++) { for(l = 0; l < k; l++) { x[m] = tmat[rarray[k] * *n + rarray[l]]; m++; } } /* Calculate new sum of products. */ cumsum = 0; for(k = 0; k < *xlen; k++) { if(dclass[k] == 0) { cumsum += x[k]; } } zstats[i] = cumsum; } /* Reset random seed using an Splus function. */ RANDOUT; } void newpermtwo(double *x, double *y, int *n, int *xlen, int *nperm, double *zstats, double *tmat, int *rarray) { int i, k, l, m; double cumsum; int temp; float naval = -9999; S_EVALUATOR /* Set random seed using Splus function */ RANDIN; /* Calculate first z-statistic (unpermuted data). */ cumsum = 0; for(k = 0; k < *xlen; k++) { if(x[k] != naval) { cumsum += x[k] * y[k]; } } zstats[0] = cumsum; /* Start permutation routine */ for(i = 1; i < *nperm; i++) { /* Set up rarray. */ for(k = 0; k < *n; k++) { rarray[k] = k; } /* Convert x to a full matrix. */ m = 0; for(k = 1; k < *n; k++) { for(l = 0; l < k; l++) { tmat[k * *n + l] = x[m]; tmat[l * *n + k] = x[m]; m++; } } /* Randomize rarray using an Splus function. */ for(k = 0; k < (*n - 1); k++) { l = *n - k - 1; m = (int)((float)l * UNIF); if(m > l) m = l; temp = rarray[l]; rarray[l] = rarray[m]; rarray[m] = temp; } /* Reorder x. */ m = 0; for(k = 1; k < *n; k++) { for(l = 0; l < k; l++) { x[m] = tmat[rarray[k] * *n + rarray[l]]; m++; } } /* Calculate new sum of products. */ cumsum = 0; for(k = 0; k < *xlen; k++) { if(x[k] != naval) { cumsum += x[k] * y[k]; } } zstats[i] = cumsum; } /* Reset random seed using an Splus function. */ RANDOUT; } void psum(double *x, int *pnrow, int *pncol, double *dist) { int row1, row2, col1; int nrow, ncol; int l; double thisval, thatval; l = 0; nrow = *pnrow; ncol = *pncol; for(col1 = 0; col1 < ncol; col1++) { for(row1 = 0; row1 < nrow; row1++) { thatval = x[row1 * ncol + col1]; for(row2 = 0; row2 < nrow; row2++) { thisval = x[row2 * ncol + col1]; dist[l] = thisval + thatval; l++; } } } } void pdiff(double *x, int *pnrow, int *pncol, double *dist) { int row1, row2, col1; int nrow, ncol; int l; double thisval, thatval; l = 0; nrow = *pnrow; ncol = *pncol; for(col1 = 0; col1 < ncol; col1++) { for(row1 = 0; row1 < nrow; row1++) { thatval = x[row1 * ncol + col1]; for(row2 = 0; row2 < nrow; row2++) { thisval = x[row2 * ncol + col1]; dist[l] = thisval - thatval; l++; } } } } void jpres(double *x, int *pnrow, int *pncol, double *dist) { int row1, row2, col1; int nrow, ncol; int l; double thisval, thatval; l = 0; nrow = *pnrow; ncol = *pncol; for(col1 = 0; col1 < ncol; col1++) { for(row1 = 0; row1 < nrow; row1++) { thatval = x[row1 * ncol + col1]; for(row2 = 0; row2 < nrow; row2++) { thisval = x[row2 * ncol + col1]; if((thisval > 0) & (thatval > 0)) { dist[l] = 1; } else { dist[l] = 0; } l++; } } } } void jabs(double *x, int *pnrow, int *pncol, double *dist) { int row1, row2, col1; int nrow, ncol; int l; double thisval, thatval; l = 0; nrow = *pnrow; ncol = *pncol; for(col1 = 0; col1 < ncol; col1++) { for(row1 = 0; row1 < nrow; row1++) { thatval = x[row1 * ncol + col1]; for(row2 = 0; row2 < nrow; row2++) { thisval = x[row2 * ncol + col1]; if((thisval == 0) & (thatval == 0)) { dist[l] = 1; } else { dist[l] = 0; } l++; } } } } void jfirst(double *x, int *pnrow, int *pncol, double *dist) { int row1, row2, col1; int nrow, ncol; int l; double thisval, thatval; l = 0; nrow = *pnrow; ncol = *pncol; for(col1 = 0; col1 < ncol; col1++) { for(row1 = 0; row1 < nrow; row1++) { thatval = x[row1 * ncol + col1]; for(row2 = 0; row2 < nrow; row2++) { thisval = x[row2 * ncol + col1]; if((thisval > 0) & (thatval == 0)) { dist[l] = 1; } else { dist[l] = 0; } l++; } } } } void jsec(double *x, int *pnrow, int *pncol, double *dist) { int row1, row2, col1; int nrow, ncol; int l; double thisval, thatval; l = 0; nrow = *pnrow; ncol = *pncol; for(col1 = 0; col1 < ncol; col1++) { for(row1 = 0; row1 < nrow; row1++) { thatval = x[row1 * ncol + col1]; for(row2 = 0; row2 < nrow; row2++) { thisval = x[row2 * ncol + col1]; if((thisval == 0) & (thatval > 0)) { dist[l] = 1; } else { dist[l] = 0; } l++; } } } } void mrmperm(double *x, double *y, int *p, int *nd, int *n, int *nperm, double *r2all, double *ball, double *fall, double *tmat, int *rarray, double *XX, double *XY, double *YY, double *b) { int i, k, l; int m; int temp; double SSE=0.0, SSTO=0.0, SSR=0.0; double r2=0, f=0; double btemp=0.0; int bcount = 0; char *transt = "T", *transn = "N"; double one = 1.0, zero = 0.0; int onei = 1; S_EVALUATOR /* Set random seed using Splus function */ RANDIN; /* Start permutation routine */ for(i = 0; i < *nperm; i++) { /* first do the unpermuted values */ /* F77_CALL(dgemm)(transa, transb, &ncx, &ncy, &nrx, &one, x, &nrx, y, &nry, &zero, z, &ncx); */ /* take crossproduct t(X) %*% Y - WORKS */ F77_CALL(dgemm)(transt, transn, p, &onei, nd, &one, x, nd, y, nd, &zero, XY, p); /* take crossproduct t(Y) %*% (Y) - WORKS */ F77_CALL(dgemm)(transt, transn, &onei, &onei, nd, &one, y, nd, y, nd, &zero, YY, &onei); /* calculate regression coefficients XX %*% XY - WORKS */ F77_CALL(dgemm)(transn, transn, p, &onei, p, &one, XX, p, XY, p, &zero, b, p); /* calculate regression components - WORKS */ F77_CALL(dgemm)(transt, transn, &onei, &onei, p, &one, b, p, XY, p, &zero, &btemp, &onei); /* SSE - WORKS */ SSE = YY[0] - btemp; /* SSTO - WORKS */ SSTO = 0; for(k = 0; k < *nd; k++) { SSTO = SSTO + y[k]; } SSTO = YY[0] - (SSTO * SSTO) / *nd; SSR = SSTO - SSE; /* calculate R2 - WORKS */ r2 = 1 - SSE / SSTO; /* calculate F* - WORKS */ f = (SSR / (*p - 1)) / (SSE / (*nd - *p)); r2all[i] = r2; fall[i] = f; /* calculate pseudo-t for regression coefficients - WORKS*/ /* b / sqrt(1 - R2) */ for(k=0; k<*p; k++) { ball[bcount] = b[k] / sqrt(1 - r2); bcount++; } /* permute Y */ /* Set up rarray. */ for(k = 0; k < *n; k++) { rarray[k] = k; } /* Convert y to a full matrix. */ m = 0; for(k = 1; k < *n; k++) { for(l = 0; l < k; l++) { tmat[k * *n + l] = y[m]; tmat[l * *n + k] = y[m]; m++; } } /* Randomize rarray using an Splus function. */ for(k = 0; k < (*n - 1); k++) { l = *n - k - 1; m = (int)((float)l * UNIF); if(m > l) m = l; temp = rarray[l]; rarray[l] = rarray[m]; rarray[m] = temp; } /* Reorder y. */ m = 0; for(k = 1; k < *n; k++) { for(l = 0; l < k; l++) { y[m] = tmat[rarray[k] * *n + rarray[l]]; m++; } } } /* Reset random seed using an Splus function. */ RANDOUT; } ecodist/NAMESPACE0000644000176000001440000000055411640424411013154 0ustar ripleyusers## Functions export(bcdist, distance, fixdmat) export(mantel, mgram, pmgram, MRM) export(cor2m, corgen, crosstab, full, lower) export(pco, nmds, nmds.min, vf) export(plot.vf, plot.mgram, residuals.mgram) ## import for S3 import(stats, graphics) ## S3 methods S3method(plot, vf) S3method(plot, mgram) S3method(residuals, mgram) ## Compiled code useDynLib(ecodist) ecodist/data/0000755000176000001440000000000012247426532012654 5ustar ripleyusersecodist/data/permresults.rda0000644000176000001440000261017012247426142015735 0ustar ripleyusers7zXZi"6!X])TW"nRʟ)'dz$&}TX!ޣÀ,;atYLjyXB*7x Y:4^]k{j2F'V.$&wwYg^=SHz&XNm?H43/k-ҫ\UQxB Dg}M,iVD2*_?bqO!4u SmPdVrSY+rSN P~֔GNЅd Rjb <\3z O*7gK/N! 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WVSvw<'Z@l^u?sah|Y* S0] HZ?yZ09Of/2Zu}йy7. %؜~y7ѸN4`#!J8q4`Q f*a֣ -"VI-z|{GI𿗿֖&>^'/4@jue?[eIst,P!!H1=.ۼ t̥=V\ܣ&?♑_fQC/^+ I,!rPuޣ 45evs4?Awrj<*L ('»alU݈Ndy3߅]H(YI(/7T?I6HI-ܽ*Q I*5 ɡhGz` GmFrU{v9C9*DƷ3y/8e/x!a@*+ a$}-Z!1g{9d Ph#m  z?<@XZDȚ.ly;T͚dBA[~>*:*=Q?/KmRi%u"Ff8;>K%O$Y= yD?Q 2﷞Kws@ꬎ1| Jxd+5/?+zg E#5GE btZL:.Lsouz=Ē)P6=0;CL6:5^~*)'#;ġo5'sBQ2G$ uro r3@.fY=.{-xT䒆=V2]М{gWr}ن?- ntѠ)ך.PR1U5{@=|GɅqaC2YEYA4B 퇟9iK{!-).]"cԟ/r{fSXM0Y+4,hùI7TR MWe3lNq.|T$wg%~Zǭj͋#%sm &57 >K[z\F+⾫}!;jq H0~NmɴdV:U,Eᓉ9z qFJa @"-ݧNXKq+ z1ɥP|4=8;!@Q7 >;YRsSN+v Wcf?O!E guħcD(tk1̊vf W[M!cly{NO`%Icbi̸[߃Ix` h#&[kms~~*} 1G,k(Qvg=B칦/pPqix 8">W?9f1l9!dꗘ9p@56ݵc-~,0u*VϠ,ōkCQ@YZecodist/data/graze.rda0000644000176000001440000000610112247426140014445 0ustar ripleyusersBZh91AY&SY"1 ~?` ؁2 ؞wE^ozdIFSOFm4LLQi3Sji=LhQzF LѨLѤS& lh6H4iGi4F~B&MM&ѴzOP4A h4 hh =$QC@M @4 h4 F2hшh @Fhh#@(PHj 4 @44 h4h@:4Q$Kh]?dzzfH[6mgMy:kԷ :p4IUa2̛gv<ڱvfDt>}ǖmNE<O;ߺ4/,ɸFf&}K 0, ] } dist.v <- rep(0, (nrow(x) * (nrow(x) - 1))/2) cresults <- .C("bcdist", as.double(as.vector(t(x))), as.integer(nrow(x)), as.integer(ncol(x)), dist.v = as.double(dist.v), PACKAGE = "ecodist") dist.v <- cresults$dist.v ## give the results attributes similar to dist() attr(dist.v, "Size") <- nrow(x) attr(dist.v, "Labels") <- rownames(x) attr(dist.v, "Diag") <- FALSE attr(dist.v, "Upper") <- FALSE attr(dist.v, "method") <- "bray-curtis" class(dist.v) <- "dist" dist.v } ecodist/R/nmdsmin.R0000644000176000001440000000162312143204601013720 0ustar ripleyusersnmds.min <- function(x, dims=0) { # returns the minimum-stress configuration from nmds output. # (Results from nmds) # if dims==0, returns the overall lowest-stress configuration # Otherwise, returns the lowest-stress configuration of dimensionality dims if(dims == 0) { x.min <- x$conf[x$stress == min(x$stress)] } else { x.dims <- sapply(x$conf, ncol) x$conf <- x$conf[x.dims == dims] x$stress <- x$stress[x.dims == dims] x$r2 <- x$r2[x.dims == dims] x.min <- x$conf[x$stress == min(x$stress)] } cat("Minimum stress for given dimensionality: ", x$stress[which.min(x$stress)], "\n") cat("r^2 for minimum stress configuration: ", x$r2[which.min(x$stress)], "\n") x.min <- x.min[[1]] x.min <- data.frame(x.min) attr(x.min, "stress") <- x$stress[which.min(x$stress)] attr(x.min, "r2") <- x$r2[which.min(x$stress)] x.min } ecodist/R/lower.R0000644000176000001440000000037611316224322013412 0ustar ripleyuserslower <- function(m) { # Takes the lower triangle of a matrix # Does NOT check for symmetric matrix m <- as.matrix(m) if(ncol(m) != nrow(m)) stop("Matrix not square.") if(ncol(m) == 1) { warning("Matrix is 1x1.") m } else m[col(m) < row(m)] } ecodist/R/crosstab.R0000644000176000001440000000511712045033455014105 0ustar ripleyuserscrosstab <- function(rowlab, collab, values, type="sum", data, allrows, allcols, ...) { # Converts field data in the form: # site, species, observation # into a site by species table # # rowlab can be a matrix with three columns # or each element can be specified individually. # # By default, takes the sum of the data # Can also use "mean", "max" or "min" # Sarah C. Goslee # 24 Sept 2003 # ### # # if allrows or allcols exists, will expand the matrix to # include all of those elements into the rows or colums of # the results matrix # scg 20 Apr 2006 # ### # added data argument to simplify using data frames # added count option to type (length of matching data) # scg 2 Nov 2012 if(!missing(data)) { if(mode(substitute(rowlab)) == "name") rowlab <- data[, deparse(substitute(rowlab))] if(mode(substitute(collab)) == "name") collab <- data[, deparse(substitute(collab))] if(!missing(values) & mode(substitute(values)) == "name") values <- data[, deparse(substitute(values))] } rowlab <- as.vector(rowlab) collab <- as.vector(collab) # if values are not provided, a count of combinations of rowlab and collab is returned # equivalent to table(rowlab, collab) if(missing(values)) { values <- rep(1, length(rowlab)) type <- "sum" } # if type is count and values are provided, combinations unique values are counted if(type == "count") { values <- paste(rowlab, collab, values) values <- as.numeric(!duplicated(values)) type <- "sum" } values <- as.vector(values) results <- switch(type, mean = tapply(values, list(rowlab, collab), mean, ...), max = tapply(values, list(rowlab, collab), max, ...), min = tapply(values, list(rowlab, collab), min, ...), sum = tapply(values, list(rowlab, collab), sum, ...) ) if(!missing(allrows)) { allrows <- as.vector(allrows) allrows <- c(rownames(results), allrows) allrows <- sort(unique(allrows)) newrows <- allrows[!(allrows %in% rownames(results))] temp <- matrix(NA, ncol=ncol(results), nrow=length(newrows)) colnames(temp) <- colnames(results) rownames(temp) <- newrows results <- rbind(results, temp) results <-results[order(rownames(results)),] } if(!missing(allcols)) { allcols <- as.vector(allcols) allcols <- c(colnames(results), allcols) allcols <- sort(unique(allcols)) newcols <- allcols[!(allcols %in% colnames(results))] temp <- matrix(NA, nrow=nrow(results), ncol=length(newcols)) rownames(temp) <- rownames(results) colnames(temp) <- newcols results <- cbind(results, temp) results <-results[,order(colnames(results))] } results[is.na(results)] <- 0 results } ecodist/R/plot.mgram.R0000644000176000001440000000100311316224322014326 0ustar ripleyusersplot.mgram <- function(x, pval = 0.05, xlab = "Distance", ylab = "Mantel r", ...) { # x is the output from mgram # pval is the p-value to be considered signficant # ... are additional graphics parameters x <- x$mgram pval.v <- x[, 4] plot(x[, 1], x[, 3], type = "l", xlab = xlab, ylab = ylab, ...) points(x[pval.v <= pval, 1], x[pval.v <= pval, 3], pch = 16) points(x[pval.v > pval, 1], x[pval.v > pval, 3], pch = 1) invisible() } ecodist/R/pmgram.R0000644000176000001440000001671011316224322013544 0ustar ripleyuserspmgram <- function(data, space, partial, breaks, nclass, stepsize, resids = FALSE, nperm = 1000) { epsilon <- 0.0000001 if( class(data) == "dist") { data <- as.matrix(as.vector(data)) } else { data <- as.matrix(data) } space <- as.vector(space) n <- ncol(full(space)) # This function does four different analyses: # If data has 1 column and partial is missing, # calculates a multivariate correlogram for data. # # If data has 2 columns and partial is missing, # calculates Mantel r between the two columns for each distance class. # # If data has 1 column and partial exists, # does a multivariate correlogram for the residuals # take residuals over whole extent # # If data has 2 columns and partial exists, # does a partial multivariate correlogram # calculate partial for each distance class separately # # results are: # 1 dmax # 2 ngroup # 3 piecewise mgram # 4 two-sided p-value # use breaks if it exists. # If nclass or stepsize aren't specified, use Sturge's rule to calculate nclass # classes are shifted so that they don't have to start with zero if(missing(breaks)) { if(missing(nclass)) { if(missing(stepsize)) { nclass <- round(1 + 3.3 * log10(length(space))) stepsize <- (max(space) - min(space)) / nclass } else { nclass <- round((max(space) - min(space))/stepsize) } } else { if(missing(stepsize)) { stepsize <- (max(space) - min(space)) / nclass } } breaks <- seq(0, stepsize * nclass, stepsize) } else { nclass <- length(breaks) - 1 } answer.m <- matrix(0, nrow=nclass, ncol=4) dimnames(answer.m) <- list(NULL, c("lag", "ngroup", "piecer", "pval")) answer.m[,4] <- rep(0, nrow(answer.m)) # standardize so mean = 0, variance = 1 for(i in 1:ncol(data)) { thiscol <- data[,i] ydif <- thiscol - mean(thiscol) yvar <- sqrt(sum(ydif^2)/length(ydif)) thiscol <- ydif / yvar data[,i] <- thiscol } if(!missing(partial)) { partial <- as.matrix(as.vector(partial)) for(i in 1:ncol(partial)) { thiscol <- partial[,i] ydif <- thiscol - mean(thiscol) yvar <- sqrt(sum(ydif^2)/length(ydif)) thiscol <- ydif / yvar partial[,i] <- thiscol } } if(resids) { mgresids <- rep(0, length(space)) } else { mgresids <- NA } if(missing(partial)) { if(ncol(data) == 1) { for(i in 1:nclass) { dmin <- breaks[i] dmax <- breaks[i + 1] answer.m[i,1] <- (dmin + dmax) / 2 space.dclass <- rep(0, length(space)) space.dclass[space <= dmin] <- 1 space.dclass[space > dmax] <- 1 if(sum(space.dclass== 0) > 0) { ngroup <- length(space.dclass) - sum(space.dclass) answer.m[i,2] <- ngroup answer.m[i,3] <- (-1/ngroup) * sum(data[space.dclass == 0]) if(resids == TRUE) { mgresids[space.dclass == 0] <- residuals(lm(data[space.dclass == 0] ~ space[space.dclass == 0])) } if(nperm > 0) { zstats <- rep(0, nperm) tmat <- matrix(0, n, n) rarray <- rep(0, n) # cat(i, "\t", answer.m[i,1], "\t", answer.m[i,2], "\t", answer.m[i,3], "\n") cresults <- .C("newpermone", as.double(data), as.integer(space.dclass), as.integer(n), as.integer(length(data)), as.integer(nperm), zstats = as.double(zstats), as.double(as.vector(tmat)), as.integer(rarray), PACKAGE = "ecodist") zstats <- cresults$zstats answer.m[i,4] <- length(zstats[abs(zstats) >= abs(zstats[1])])/nperm } } } } else { for(i in 1:nclass) { dmin <- breaks[i] dmax <- breaks[i + 1] answer.m[i,1] <- dmax space.dclass <- rep(0, length(space)) space.dclass[space <= dmin] <- 1 space.dclass[space > dmax] <- 1 if(sum(space.dclass== 0) > 0) { ngroup <- length(space.dclass) - sum(space.dclass) answer.m[i,2] <- ngroup if(ncol(data) == 2) { answer.m[i, 3] <- cor(data[space.dclass == 0, 1], data[space.dclass == 0, 2]) if(resids == TRUE) { mgresids[space.dclass == 0] <- residuals(lm(data[space.dclass == 0,1] ~ data[space.dclass == 0,2])) } if(nperm > 0) { if(is.na(answer.m[i, 3])) answer.m[i, 4] <- 1 else { zstats <- rep(0, nperm) tmat <- matrix(0, n, n) rarray <- rep(0, n) xmat <- data[,1] xmat[space.dclass == 1] <- -9999 # cat(i, "\t", answer.m[i,1], "\t", answer.m[i,2], "\t", answer.m[i,3], "\n") cresults <- .C("newpermtwo", as.double(xmat), as.double(data[,2]), as.integer(n), as.integer(length(xmat)), as.integer(nperm), zstats = as.double(zstats), as.double(as.vector(tmat)), as.integer(rarray), PACKAGE = "ecodist") zstats <- cresults$zstats answer.m[i,4] <- length(zstats[abs(zstats) >= abs(zstats[1])])/nperm } } } } } } } else { if(ncol(data) == 1) { for(i in 1:nclass) { dmin <- breaks[i] dmax <- breaks[i + 1] answer.m[i,1] <- dmax space.dclass <- rep(0, length(space)) space.dclass[space <= dmin] <- 1 space.dclass[space > dmax] <- 1 ngroup <- sum(space.dclass== 0) if(ngroup > 0) { ngroup <- sum(space.dclass== 0) answer.m[i,2] <- ngroup data.lm <- residuals(lm(data ~ partial)) answer.m[i,3] <- (-1/ngroup) * sum(data.lm[space.dclass == 0]) if(resids == TRUE) { mgresids[space.dclass == 0] <- residuals(lm(data[space.dclass == 0] ~ partial[space.dclass == 0])) } if(nperm > 0) { zstats <- rep(0, nperm) zstats[1] <- answer.m[i,3] for(j in 2:nperm) { xmat <- full(data) xsamp <- sample(ncol(xmat)) xmat <- xmat[xsamp, xsamp] xmat <- lower(xmat) data.lm <- residuals(lm(xmat ~ partial)) zstats[j] <- (-1/ngroup) * sum(data.lm[space.dclass == 0]) } answer.m[i,4] <- length(zstats[abs(zstats) >= abs(zstats[1])])/nperm } } } } else { for(i in 1:nclass) { dmin <- breaks[i] dmax <- breaks[i + 1] answer.m[i,1] <- dmax space.dclass <- rep(0, length(space)) space.dclass[space <= dmin] <- 1 space.dclass[space > dmax] <- 1 if(sum(space.dclass== 0) > 0) { ngroup <- length(space.dclass) - sum(space.dclass) answer.m[i,2] <- ngroup if(ncol(data) == 2) { data1.lm <- residuals(lm(data[space.dclass == 0,1] ~ partial[space.dclass == 0,])) data2.lm <- residuals(lm(data[space.dclass == 0,2] ~ partial[space.dclass == 0,])) answer.m[i, 3] <- cor(data1.lm, data2.lm) if(resids == TRUE) { mgresids[space.dclass == 0] <- residuals(lm(data1.lm ~ data2.lm)) } if(nperm > 0) { if(is.na(answer.m[i, 3])) answer.m[i, 4] <- 1 else { zstats <- rep(0, nperm) zstats[1] <- answer.m[i,3] for(j in 2:nperm) { xmat <- data[,1] xmat[space.dclass == 1] <- -9999 xmat <- full(xmat) xsamp <- sample(ncol(xmat)) xmat <- xmat[xsamp, xsamp] xmat <- lower(xmat) xmat <- xmat[xmat != -9999] data1.lm <- residuals(lm(xmat ~ partial[space.dclass == 0,])) zstats[j] <- cor(data1.lm, data2.lm) } answer.m[i,4] <- length(zstats[abs(zstats) >= abs(zstats[1])])/nperm } } } } } } } results <- list(mgram = answer.m, resids = mgresids) class(results) <- "mgram" results } ecodist/R/MRM.R0000644000176000001440000000614211360712404012714 0ustar ripleyusersMRM <- function(formula = formula(data), data = sys.parent(), nperm = 1000, mrank = FALSE) { # MRM: Multiple Regression on distance Matrices # Sarah Goslee 2008-07-18 # tests R^2 and regression coefficients using a # permutation test # Stuff R needs to be able to use a formula m <- match.call(expand.dots = FALSE) m2 <- match(c("formula", "data"), names(m), nomatch=0) m <- m[c(1, m2)] m[[1]] <- as.name("model.frame") m <- eval(m, parent.frame()) m <- as.matrix(m) # End of R stuff. m is now the data for the MRM test as # columns y, x, n1, n2, n3, ... # Determine the size of the matrices & do some error checking. n <- (1 + sqrt(1 + 8 * nrow(m)))/2 if(abs(n - round(n)) > 0.0000001) stop("Matrix not square.\n") n <- round(n) if(ncol(m) < 2) stop("Not enough data. \n") if(mrank) { m <- apply(m, 2, rank) } # convert matrices to column order to ensure compatibility with C for(thiscol in 1:ncol(m)) { tempmat <- full(m[,thiscol]) m[,thiscol] <- tempmat[col(tempmat) > row(tempmat)] } # use matrix form to speed up calculations X <- m[ ,2:ncol(m), drop=FALSE] X <- cbind(rep(1, nrow(X)), X) Y <- m[ ,1, drop=FALSE] nd <- nrow(X) # only need to calculate (X'X)^-1 once XX <- crossprod(X) XX <- solve(XX) # will need to calculate Xy for each permutation XY <- crossprod(X, Y) YY <- crossprod(Y) # regression coefficients b <- XX %*% XY rownames(b) <- c("Int", colnames(X)[2:ncol(X)]) bXY <- crossprod(b, XY) SSE <- YY - bXY SSTO <- YY - sum(Y)^2/nd SSR = SSTO - SSE # R2 = 1 - SSE/SSTO R2 <- 1 - SSE/SSTO R2 <- as.vector(R2) # F* = MSR / MSE # MSR = SSR / (p - 1) # MSE = SSE / (n - p) p <- ncol(X) # number of parameters estimated F <- (SSR / (p - 1)) / (SSE / (nd - p)) R2.pval <- NA b.pval <- rep(NA, ncol(X)) F.pval <- NA if(nperm > 0) { R2.all <- numeric(nperm) # for regression coefficients, use pseudo-t of Legendre et al. 1994 b.all <- numeric(nperm*p) # try out an overall F-test for lack of fit F.all <- numeric(nperm) cresults <- .C("mrmperm", as.double(as.vector(X)), as.double(as.vector(Y)), as.integer(p), as.integer(nd), as.integer(n), as.integer(nperm), R2.all = as.double(R2.all), b.all = as.double(b.all), F.all = as.double(F.all), as.double(numeric(n*n)), as.integer(numeric(n)), as.double(as.vector(XX)), as.double(numeric(p)), as.double(0), as.double(numeric(p)), PACKAGE = "ecodist") R2.all <- cresults$R2.all R2.pval <- length(R2.all[R2.all >= R2.all[1]])/nperm F.all <- cresults$F.all F.pval <- length(F.all[F.all >= F.all[1]])/nperm # b.all contains pseudo-t of Legendre et al. 1994 b.all <- matrix(cresults$b.all, nrow=nperm, ncol=p, byrow=TRUE) b.pval <- apply(b.all, 2, function(x)length(x[abs(x) >= abs(x[1])])/nperm) } list(coef=cbind(b, pval=b.pval), r.squared=c(R2=R2, pval = R2.pval),F.test=c(F=F, F.pval = F.pval)) } ecodist/R/residuals.mgram.R0000644000176000001440000000012511316224322015347 0ustar ripleyusersresiduals.mgram <- function(object, ...) { # for S3 "neatness" object$resids } ecodist/R/mgram.R0000644000176000001440000000500011316224322013352 0ustar ripleyusersmgram <- function(species.d, space.d, breaks, nclass, stepsize, nperm = 1000, mrank = FALSE, nboot = 500, pboot=0.90, cboot=0.95, alternative = "two.sided", trace = FALSE) # Mantel correlogram # Written by Sarah C. Goslee # 10 December 1997 # Updated 13 March 2006 # # This function calculates a mantel correlogram for species.d (a # lower-triangular distance matrix) based on the geographic distances # given in space.d (also a lower-triangular distance matrix). # nclass: number of distance classes # stepsize: width of distance classes # nperm: number of permutations for mantel test # # Default is two-tailed test (H0: rM = 0; alternative = "two.sided") # May also use one-sided test (H0: rM <= 0; alternative = "one.sided") { species.d <- as.vector(species.d) space <- as.vector(space.d) # use breaks if it exists. # If nclass or stepsize aren't specified, use Sturge's rule to calculate nclass # classes are shifted so that they don't have to start with zero if(missing(breaks)) { if (missing(nclass)) { if (missing(stepsize)) { nclass <- round(1 + 3.3 * log10(length(space.d))) stepsize <- (max(space.d) - min(space.d))/nclass } else { nclass <- round((max(space.d) - min(space.d))/stepsize) } } else { if (missing(stepsize)) { stepsize <- (max(space.d) - min(space.d))/nclass } } breaks <- seq(0, stepsize * nclass, stepsize) } else { nclass <- length(breaks) - 1 } answer.m <- matrix(0, ncol=6, nrow=nclass) dimnames(answer.m) <- list(NULL, c("lag", "ngroup", "mantelr", "pval", "llim", "ulim")) answer.m[,4] <- rep(1, nrow(answer.m)) for(i in 1:nclass) { dmin <- breaks[i] dmax <- breaks[i + 1] answer.m[i,1] <- (dmin + dmax) / 2 space.dclass <- rep(0, length(space.d)) space.dclass[space.d <= dmin] <- 1 space.dclass[space.d > dmax] <- 1 ngroup <- length(space.dclass) - sum(space.dclass) answer.m[i,2] <- ngroup if(ngroup > 0) { mant <- mantel(species.d ~ space.dclass, nperm=nperm, mrank=mrank, nboot=nboot, pboot=pboot, cboot=cboot) answer.m[i,3] <- mant[1] if(alternative == "two.sided") answer.m[i,4] <- mant[4] else answer.m[i,4] <- mant[2] answer.m[i,5] <- mant[5] answer.m[i,6] <- mant[6] } if(trace) cat(i, "\t", answer.m[i,2], "\t", answer.m[i, 3], "\n") } results <- list(mgram = answer.m, resids = NA) class(results) <- "mgram" results } ecodist/R/vf.R0000644000176000001440000000331011464550763012703 0ustar ripleyusersvf <- function (ord, vars, nperm = 100) { vfcalc <- function(ord, vars) { lm.list <- apply(vars, 2, function(x, ord) lm(x ~ ord), ord = ord) coef.m <- sapply(lm.list, function(x) unlist(x$coefficients)) scores <- atan(coef.m[3, ]/coef.m[2, ]) scores <- t(rbind(cos(scores), sin(scores))) scores <- abs(scores) cor.m <- t(cor(ord, vars)) cor.m <- sign(cor.m) scores <- scores * cor.m coef.m <- lapply(lm.list, summary) r <- sapply(coef.m, function(x) sqrt(unlist(x$r.squared))) list(scores = scores, r = r) } ord <- as.matrix(ord) if(is.vector(vars)) { vars <- matrix(vars, ncol=1) colnames(vars) <- "var1" } else vars <- as.matrix(vars) nvars <- ncol(vars) if (any(is.na(vars))) { warning("NA values in variables will be removed\n") naindex <- apply(vars, 1, function(x) any(is.na(x))) ord <- ord[!naindex, ] vars <- vars[!naindex, ] } vf1 <- vfcalc(ord, vars) if (nperm > 0) { how.many <- rep(nrow(ord), nperm - 1) perm.ord <- lapply(how.many, function(x) sample(1:x)) r.list <- sapply(perm.ord, function(x, ord, vars, f) f(ord[x, ], vars)$r, ord = ord, vars = vars, f = vfcalc) if(nvars == 1) r.list <- matrix(r.list, nrow=1) r.list <- cbind(vf1$r, r.list) pval <- apply(r.list, 1, function(x, nperm) length(x[x >= x[1]])/nperm, nperm = nperm) } else pval <- rep(0, ncol(vars)) vfres <- cbind(vf1$scores, vf1$r, pval) dimnames(vfres)[[1]] <- dimnames(vars)[[2]] dimnames(vfres)[[2]] <- c(1:ncol(ord), "r", "pval") class(vfres) <- "vf" vfres } ecodist/R/plot.vf.R0000644000176000001440000000075711465013005013654 0ustar ripleyusersplot.vf <- function (x, pval = 1, cex = 0.8, ascale = 0.9, ...) { plotlim <- par()$usr plotlim <- min((plotlim[2] - plotlim[1]), (plotlim[4] - plotlim[3])) ascale <- ascale * (plotlim/2) x <- x[x[, 4] < pval, , drop=FALSE] for (i in 1:dim(x)[[1]]) { arrows(0, 0, x[i, 1] * x[i, 3] * ascale, x[i, 2] * x[i, 3] * ascale, ...) } text(x[, 1] * x[, 3] * (ascale * 1.1), x[, 2] * x[, 3] * (ascale * 1.1), dimnames(x)[[1]], cex = cex, ...) } ecodist/R/pco.R0000644000176000001440000000261311316224322013037 0ustar ripleyuserspco <- function(x, negvals = "zero", dround=0) { # Principal coordinates analysis (classical scaling) # Sarah Goslee # x is a lower-triangular dissimilarity matrix. # negvals: if "zero" then negative eigenvalues are set to zero. # if "rm" then correction method 1 from Legendre & Anderson 1999 # dround is an attempt to correct for round-off error. n <- (1 + sqrt(1 + 8 * length(x)))/2 if(abs(n - round(n)) > 0.0000001) stop("Matrix not square.\n") n <- round(n) x <- full(x) dmat <- -0.5 * x * x # Double-center the dissimilarity matrix # Subtract row and column means and add the grand mean. dr <- matrix(apply(dmat, 1, mean), nrow=n, ncol=n) dmat <- dmat - (dr + t(dr)) + mean(dmat) deigen <- eigen(dmat) if(negvals == "rm") { c1 <- min(deigen$values) if(c1 < 0) { c1 <- abs(c1) x2 <- sqrt(x^2 + 2 * c1) diag(x2) <- 0 dmat <- -0.5 * x2 * x2 dr <- matrix(apply(dmat, 1, mean), nrow=n, ncol=n) dmat <- dmat - (dr + t(dr)) + mean(dmat) deigen <- eigen(dmat) } } else { deigen$values[deigen$values < 0] <- 0 } if(dround > 0) { deigen$values <- round(deigen$values, dround) deigen$vectors <- round(deigen$vectors, dround) } eigenscale <- deigen$values eigenscale[eigenscale > 0.000000001] <- sqrt(eigenscale[eigenscale > 0.000000001]) eigenscale[eigenscale <= 0.000000001] <- 1 deigen$vectors <- sweep(deigen$vectors, 2, eigenscale, "/") deigen } ecodist/R/nmds.R0000644000176000001440000000625111720767703013237 0ustar ripleyusersnmds <- function(dmat, mindim = 1, maxdim = 2, nits = 10, iconf = 0, epsilon = 1e-12, maxit = 500, trace=FALSE, stresscalc="default") { # Non-metric multidimensional scaling function # using the majorization algorithm from # Borg & Groenen 1997, Modern Multidimensional Scaling. # # Sarah Goslee # 20 December 1999 # # dmat is a lower-triangular distance matrix. # mindim is the minimum number of dimensions to calculate. # maxdim is the maximum number of dimensions to calculate. # nits is the number of repetitions. # iconf is the initial configuration to use. # If iconf is not specified, then a random configuration is used. # epsilon and maxit specify stopping points. # Returns a list of configurations (conf) # and a vector of final stress values (stress), # along with the cumulative and incremental r^2 for each axis. # The first nits elements are for the lowest number of dimensions. # # stresscalc can be "default" for compatibility with previous versions # of ecodist, or "kruskal" to follow Kruskal 1994 method exactly. nmdscalc <- function(dmat, ndim, iconf, epsilon, maxit, trace) { sstress <- function(dmat, cmat, stresscalc) { # Calculates the stress-1 function for the original and # new NMDS configurations (Kruskal 1964). if(stresscalc == "default") { sstresscalc <- (dmat - cmat) ^ 2 sstresscalc <- sum(sstresscalc) / sum(cmat ^ 2) sqrt(sstresscalc) } else if(stresscalc == "kruskal") { sstresscalc <- (dmat - cmat) ^ 2 sstresscalc <- sum(sstresscalc) / sum(dmat ^ 2) sqrt(sstresscalc) } else stop("stresscalc has an unknown value\n") } # This is the optimization routine for NMDS ordination. # Use front-end nmds. n <- (1 + sqrt(1 + 8 * length(dmat))) / 2 if(!is.matrix(iconf)) { cat("Using random start configuration \n") iconf <- matrix(runif(n * ndim), nrow = n, ncol = ndim) } if(dim(iconf)[[2]] != ndim) { cat("iconf wrong size: using random start configuration \n") iconf <- matrix(runif(n * ndim), nrow = n, ncol = ndim) } k <- 0 conf <- iconf stress2 <- sstress(dmat, dist(iconf), stresscalc) stress1 <- stress2 + 1 + epsilon while(k < maxit && abs(stress1 - stress2) > epsilon) { stress1 <- stress2 dmat.full <- full(dmat) confd.full <- full(dist(conf)) confd2.full <- confd.full confd2.full[confd.full == 0] <- 1 b <- dmat.full / confd2.full b[confd.full == 0] <- 0 bsum <- apply(b, 2, sum) b <- -1 * b diag(b) <- bsum conf <- (1 / n) * b %*% conf stress2 <- sstress(dmat, dist(conf), stresscalc) if(trace) cat(k, ",\t", stress1, "\n") k <- k + 1 } list(conf = conf, stress = stress1) } conf <- list(1:((maxdim - mindim + 1) * nits)) stress <- list(1:((maxdim - mindim + 1) * nits)) r2 <- list(1:((maxdim - mindim + 1) * nits)) k <- 1 for(i in mindim:maxdim) { if(trace) cat("Number of dimensions: ", i, "\n") for(j in 1:nits) { if(trace) cat("Iteration number: ", j, "\n") nmdsr <- nmdscalc(dmat, ndim = i, iconf, epsilon, maxit, trace) conf[[k]] <- nmdsr$conf stress[[k]] <- nmdsr$stress r2[[k]] <- cor(dmat, dist(nmdsr$conf)) ^ 2 k <- k + 1 } } list(conf = conf, stress = unlist(stress), r2 = unlist(r2)) } ecodist/R/cor2m.R0000644000176000001440000000075511316224322013305 0ustar ripleyusers# Correlate variables from 1 matrix with variables from another # matrix. If TRIM, set rho 0.0000001) stop("Matrix not square.") n <- round(n) full <- matrix(0, n, n) full[lower.tri(full)] <- v full2 <- t(full) diag(full2) <- 0 full + full2 } ecodist/R/mantel.R0000644000176000001440000002033511316224322013537 0ustar ripleyusersmantel <- function(formula = formula(data), data = sys.parent(), nperm = 1000, mrank = FALSE, nboot = 500, pboot = 0.9, cboot = 0.95) { # Mantel test # Written by Sarah C. Goslee # 27 June 2000 # Updated 5 April 2001 # # formula is y ~ x + n1 + n2 + n3 + ... # NOT y ~ x | n1 + n2 + n3 + ... # The | means something else in S-Plus formulas. # # Uses C for permutation and bootstrap routines. # # This version calculates partial coefficients by permuting the y matrix. # # Will calculate the simple correlation or n-th order partial correlation # between two distance matrices in either of two ways: Pearson (mrank=FALSE) # or Spearman (mrank=TRUE) # # A permutation test is used to calculate the significance of r. # The permutation test was designed to be relatively fast, but because of the # way this was done, there is a possibility of repeating permutations of # 1/n! where the distance matrix is n by n. In particular, for small matrices # n < 8 or so, it may be better to enumerate the permutations. # # # As an added bonus, this function offers the option of calculating # bootstrapped confidence limits for the correlation coefficient. # nboot is the number of iterations. # pboot is the level to resample at. # cboot is the desired confidence limit. # NOTE: This is not bootstrapping with replacement. That doesn't make # much sense for dissimilarities because of the possibility of duplicates. # The dissimilarity between a sample and itself is always zero. # # mantel returns a five-element list: # mantelr is the correlation. # pval1 is the one-sided p-value (null hypothesis r <= 0) (0 if nperm == 0). # pval2 is the one-sided p-value (null hypothesis r >= 0) (0 if nperm == 0). # pval3 is the two-sided p-value (null hypothesis r = 0) (0 if nperm == 0). # llim is the lower confidence limit. # ulim is the upper confidence limit. # # requires mantel.c (Included in ecodist.c.) # # Stuff R needs to be able to use a formula m <- match.call(expand.dots = FALSE) m2 <- match(c("formula", "data"), names(m), nomatch=0) m <- m[c(1, m2)] m[[1]] <- as.name("model.frame") m <- eval(m, parent.frame()) m <- as.matrix(m) # End of R stuff. m is now the data for the Mantel test as # columns y, x, n1, n2, n3, ... # Determine the size of the matrices & do some error checking. n <- (1 + sqrt(1 + 8 * nrow(m)))/2 if(abs(n - round(n)) > 0.0000001) stop("Matrix not square.\n") n <- round(n) if(ncol(m) < 2) stop("Not enough data. \n") # If there are only x and y, then use the data as is. if(dim(m)[[2]] == 2) { ymat <- as.vector(m[, 1]) xmat <- as.vector(m[, 2]) if(mrank) { ymat <- rank(ymat) xmat <- rank(xmat) } ycor <- ymat xcor <- xmat } else { ymat <- as.vector(m[, 1]) omat <- m[, -1] if(mrank) { ymat <- rank(ymat) omat <- apply(omat, 2, rank) } omat <- cbind(rep(1, length(ymat)), omat) xmat <- as.vector(omat[, 2]) omat <- omat[, -2] omat <- as.matrix(omat) ycor <- lm.fit(omat, ymat)$residuals xcor <- lm.fit(omat, xmat)$residuals } mantelr <- cor(xcor, ycor) # Convert matrices to column order for compatibility with C routines. xmat <- full(xmat) ymat <- full(ymat) xmat <- xmat[col(xmat) > row(xmat)] ymat <- ymat[col(ymat) > row(ymat)] if(dim(m)[[2]] > 2) { for(i in 2:dim(omat)[[2]]) { curcoll <- omat[, i] curcoll <- full(curcoll) curcoll <- curcoll[col(curcoll) > row(curcoll)] omat[, i] <- curcoll } } # If using a permutation test, start here: if(nperm > 0) { # Set up the arrays needed. zstats <- numeric(nperm) tmat <- matrix(0, n, n) rarray <- rep(0, n) if(dim(m)[[2]] == 2) { # Standardize the columns of the matrices so # that z = r and we can do 2-tailed tests. ncor <- length(xmat) w1 <- sum(xmat)/ncor w2 <- sum(xmat^2) w2 <- sqrt(w2/ncor - w1^2) xmat <- (xmat - w1)/w2 w1 <- sum(ymat)/ncor w2 <- sum(ymat^2) w2 <- sqrt(w2/ncor - w1^2) ymat <- (ymat - w1)/w2 cresults <- .C("permute", as.double(xmat), as.double(ymat), as.integer(n), as.integer(length(xmat)), as.integer(nperm), zstats = as.double(zstats), as.double(as.vector(tmat)), as.integer(rarray), PACKAGE = "ecodist") } else { tomat <- t(omat) hmat <- solve(tomat %*% omat) hmat <- hmat %*% tomat bmat <- rep(0, ncol(omat)) xcor <- as.vector(lm.fit(omat, xmat)$residuals) ycor <- as.vector(lm.fit(omat, ymat)$residuals) # Standardize the columns of the matrices so # that z = r and we can do 2-tailed tests. ncor <- length(xcor) w1 <- sum(xcor)/ncor w2 <- sum(xcor^2) w2 <- sqrt(w2/ncor - w1^2) xcor <- (xcor - w1)/w2 w1 <- sum(ycor)/ncor w2 <- sum(ycor^2) w2 <- sqrt(w2/ncor - w1^2) ycor <- (ycor - w1)/w2 cresults <- .C("permpart", as.double(as.vector(hmat)), bmat = as.double(bmat), as.double(as.vector(omat)), as.double(ymat), as.double(xcor), ycor = as.double(ycor), as.integer(n), as.integer(length(bmat)), as.integer(length(xmat)), as.integer(nperm), zstats = as.double(zstats), as.double(as.vector(tmat)), as.integer(rarray), PACKAGE = "ecodist") } zstats <- cresults$zstats # Calculate the p-values. pval1 <- length(zstats[zstats >= zstats[1]])/nperm pval2 <- length(zstats[zstats <= zstats[1]])/nperm pval3 <- length(zstats[abs(zstats) >= abs(zstats[1])])/nperm } else { pval1 <- 0 pval2 <- 0 pval3 <- 0 } # If not using a permutation test, return 0 for the p-values. if(nboot > 0) { if(dim(m)[[2]] == 2) { ycor <- ymat xcor <- xmat } else { xcor <- as.vector(lm.fit(omat, xmat)$residuals) ycor <- as.vector(lm.fit(omat, ymat)$residuals) } bootcor <- numeric(nboot) rarray <- numeric(n) rmat <- numeric(length(xcor)) xdif <- numeric(length(xcor)) ydif <- numeric(length(xcor)) cresults <- .C("bootstrap", as.double(xcor), as.double(ycor), as.integer(n), as.integer(length(xcor)), as.integer(nboot), as.double(pboot), bootcor = as.double(bootcor), as.integer(rarray), as.integer(rmat), as.double(xdif), as.double(ydif), PACKAGE = "ecodist") bootcor <- cresults$bootcor bootcor <- sort(bootcor) pval <- (1 - cboot)/2 llim <- quantile(bootcor, pval) ulim <- quantile(bootcor, 1 - pval) } else { llim <- 0 ulim <- 0 } c(mantelr = mantelr, pval1 = pval1, pval2 = pval2, pval3 = pval3, llim = llim, ulim = ulim) } ecodist/R/corgen.R0000644000176000001440000000540011316224322013530 0ustar ripleyuserscorgen <- function (len, x, r, population = FALSE, epsilon = 0) { # remember the sign of the correlation for later rsign <- sign(r) if (rsign == 0) rsign <- 1 r <- abs(r) # need to either specify x-data or the desired vector length if (missing(x)) { if (missing(len)) { stop("Must specify x or len.\n") } else { # if x wasn't given, sample it from a normal distribution x.rand <- TRUE x <- scale(rnorm(len)) x.orig <- x } } else { # can either draw from a population or simulate an exact # correlation (within epsilon), but not both if (population == TRUE) { # if x is given, population is set to FALSE warning("If x is specified population is ignored.\n") population <- FALSE } x.rand <- FALSE len <- length(x) x.orig <- x x <- scale(x) } if (epsilon != 0) { if (population == TRUE) { warning("If epsilon is specified population is ignored.\n") population <- FALSE } } ## Here's where the real work starts # First, draw y from a normal distribution y <- scale(rnorm(len)) if (!population & x.rand) { # if exact correlations are desired, use princomp to # create uncorrelated data # UNLESS x is given - princomp would trash the # specified x values xy <- princomp(cbind(x, y))$scores x <- xy[, 1] x.orig <- x y <- xy[, 2] } # create a new y based on x and the desired correlation a <- r/sqrt(1 - r^2) y <- x * a + y if (epsilon > 0) { itcounter <- 0 # check to see if cor(x, y) meets the given tolerances # this is kludgy, but works while (abs(cor(x, y) - r) > epsilon) { # sometimes takes too long or doesn't converge # with given starting point if(itcounter > 1000) { if(x.rand) { x <- scale(rnorm(len)) x.orig <- x itcounter <- 0 } else { # hopefully never get here stop("Doesn't converge.\n") } } itcounter <- itcounter + 1 # if not within epsilon, generate a new y y <- scale(rnorm(len)) if (!population & x.rand) { xy <- princomp(cbind(x, y))$scores x <- xy[, 1] x.orig <- x y <- xy[, 2] } a <- r/sqrt(1 - r^2) y <- x * a + y } } # return x and y with the correct sign of r restored list(x = x.orig, y = y * rsign) } ecodist/R/distance.R0000644000176000001440000001731511674646750014101 0ustar ripleyusersdistance <- function(x, method="euclidean", sprange=NULL, spweight=NULL) { # calculates similarity and dissimilarity coefficients # as described in Legendre and Legendre 1998 # returns lower-triangle ### # Sarah Goslee # 2 March 2006 # revised 31 March 2008 # bug-fix 15 December 2008 ### # uses clever matrix math to calculate the pieces needed # by dissimilarity matrices, to make it easy to add new # indices. ### # to add a new metric: # add it to the commented list below # add it to the end of the METHODS <- c(...) list # add the code at the appropriate point at the bottom of # the function ### # Gower offers the option of dividing by the species range # if sprange=NULL no range is used # Euclidean, Manhattan, Gower allow weighting options # if spweight=NULL no weighting is used # if spweight="absence" then W is = 0 if both species are absent, # and 1 otherwise, thus deleting joint absences ### Available methods # 1: euclidean # 2: bray-curtis # 3: manhattan # 4: mahalanobis # 5: jaccard # 6: simple difference # 7: sorensen # 8: Gower # 9: Modified Gower base 10 (Anderson et al 2006) # 10: Modified Gower base 2 (Anderson et al 2006) pairedsum <- function(x) { ### paired sums ### returns an N by N by P matrix containing each ### combination of N <- nrow(x) P <- ncol(x) A <- numeric(N * N * P) A <- .C("psum", as.double(as.vector(t(x))), as.integer(N), as.integer(P), A = as.double(A), PACKAGE = "ecodist")$A A <- array(A, dim=c(N, N, P)) A } paireddiff <- function(x) { ### paired differences N <- nrow(x) P <- ncol(x) A <- numeric(N * N * P) A <- .C("pdiff", as.double(as.vector(t(x))), as.integer(N), as.integer(P), A = as.double(A), PACKAGE = "ecodist")$A A <- array(A, dim=c(N, N, P)) A } jointpresence <- function(x) { ### joint count of presences N <- nrow(x) P <- ncol(x) A <- numeric(N * N * P) A <- .C("jpres", as.double(as.vector(t(x))), as.integer(N), as.integer(P), A = as.double(A), PACKAGE = "ecodist")$A A <- array(A, dim=c(N, N, P)) A } jointabsence <- function(x) { ### joint count of absences N <- nrow(x) P <- ncol(x) A <- numeric(N * N * P) A <- .C("jabs", as.double(as.vector(t(x))), as.integer(N), as.integer(P), A = as.double(A), PACKAGE = "ecodist")$A A <- array(A, dim=c(N, N, P)) A } firstonly <- function(x) { ### present only in first sample N <- nrow(x) P <- ncol(x) A <- numeric(N * N * P) A <- .C("jfirst", as.double(as.vector(t(x))), as.integer(N), as.integer(P), A = as.double(A), PACKAGE = "ecodist")$A A <- array(A, dim=c(N, N, P)) A } secondonly <- function(x) { ### present only in second sample N <- nrow(x) P <- ncol(x) A <- numeric(N * N * P) A <- .C("jsec", as.double(as.vector(t(x))), as.integer(N), as.integer(P), A = as.double(A), PACKAGE = "ecodist")$A A <- array(A, dim=c(N, N, P)) A } x <- as.matrix(x) ## code borrowed from dist() METHODS <- c("euclidean", "bray-curtis", "manhattan", "mahalanobis", "jaccard", "difference", "sorensen", "gower", "modgower10", "modgower2") method <- pmatch(method, METHODS) if (is.na(method)) stop("invalid distance method") if (method == -1) stop("ambiguous distance method") N <- nrow(x) P <- ncol(x) if(method == 1) { # Euclidean distance A <- paireddiff(x) if(is.null(spweight)) { D <- sqrt(apply(A, 1:2, function(x)sum(x * x))) } else if(spweight[1] == "absence") { W <- ifelse(jointabsence(x)==1, 0, 1) D <- sqrt(apply((W^2)*A, 1:2, function(x)sum(x * x))) / apply(W, 1:2, sum) } else if(length(spweight) == ncol(x)) { W <- array(rep(spweight, each=nrow(x)^2), dim=c(nrow(x), nrow(x), ncol(x))) D <- sqrt(apply((W^2)*A, 1:2, function(x)sum(x * x))) / apply(W, 1:2, sum) } else { stop("Unknown weighting method.\n") } } if(method == 2) { # Bray-Curtis distance A <- paireddiff(x) A <- apply(A, 1:2, function(x)sum(abs(x))) B <- pairedsum(x) B <- apply(B, 1:2, sum) D <- A / B } if(method == 3) { # unstandardized manhattan distance A <- paireddiff(x) if(is.null(spweight)) { D <- apply(A, 1:2, function(x)sum(abs(x))) } else if(spweight[1] == "absence") { W <- ifelse(jointabsence(x)==1, 0, 1) D <- apply(W*A, 1:2, function(x)sum(abs(x))) / apply(W, 1:2, sum) } else if(length(spweight) == ncol(x)) { W <- array(rep(spweight, each=nrow(x)^2), dim=c(nrow(x), nrow(x), ncol(x))) D <- apply(W*A, 1:2, function(x)sum(abs(x))) / apply(W, 1:2, sum) } else { stop("Unknown weighting method.\n") } } if(method == 4) { # pairwise Mahalanobis distance # same as mahal() icov <- solve(cov(x)) A <- paireddiff(x) A1 <- apply(A, 1, function(z)(z %*% icov %*% t(z))) D <- A1[seq(1, N*N, by=(N+1)), ] } if(method == 5) { # Jaccard distance A <- jointpresence(x) A <- apply(A, 1:2, sum) B <- firstonly(x) B <- apply(B, 1:2, sum) C <- secondonly(x) C <- apply(C, 1:2, sum) D <- 1 - A / (A + B + C) } if(method == 6) { # simple difference, NOT symmetric D <- paireddiff(x)[,,1, drop=TRUE] } if(method == 7) { # Sorensen distance A <- jointpresence(x) A <- apply(A, 1:2, sum) B <- firstonly(x) B <- apply(B, 1:2, sum) C <- secondonly(x) C <- apply(C, 1:2, sum) D <- 1 - (2*A) / (2*A + B + C) } if(method == 8) { # Gower distance # weighting A <- paireddiff(x) if(!is.null(sprange)) { if(length(sprange) == ncol(x)) { sprange <- array(rep(sprange, each=nrow(x)^2), dim=c(nrow(x), nrow(x), ncol(x))) A <- A / sprange } else { stop("sprange not recognized.\n") } } if(is.null(spweight)) { D <- apply(A, 1:2, function(x)sum(abs(x))) } else if(spweight[1] == "absence") { W <- ifelse(jointabsence(x)==1, 0, 1) D <- apply(A*W, 1:2, function(x)sum(abs(x))) / apply(W, 1:2, sum) } else if(length(spweight) == ncol(x)) { W <- array(rep(spweight, each=nrow(x)^2), dim=c(nrow(x), nrow(x), ncol(x))) D <- apply(W*A, 1:2, function(x)sum(abs(x))) / apply(W, 1:2, sum) } else { stop("Unknown weighting method.\n") } } if(method == 9) { # modified Gower, base 10 x <- ifelse(x == 0, 0, log10(x)) A <- paireddiff(x) if(is.null(spweight)) { D <- apply(A, 1:2, function(x)sum(abs(x))) } else if(spweight[1] == "absence") { W <- ifelse(jointabsence(x)==1, 0, 1) D <- apply(W*A, 1:2, function(x)sum(abs(x))) / apply(W, 1:2, sum) } else if(length(spweight) == ncol(x)) { W <- array(rep(spweight, each=nrow(x)^2), dim=c(nrow(x), nrow(x), ncol(x))) D <- apply(W*A, 1:2, function(x)sum(abs(x))) / apply(W, 1:2, sum) } else { stop("Unknown weighting method.\n") } } if(method == 10) { # modified Gower, base 2 x <- ifelse(x == 0, 0, log2(x)) A <- paireddiff(x) if(is.null(spweight)) { D <- apply(A, 1:2, function(x)sum(abs(x))) } else if(spweight[1] == "absence") { W <- ifelse(jointabsence(x)==1, 0, 1) D <- apply(W*A, 1:2, function(x)sum(abs(x))) / apply(W, 1:2, sum) } else if(length(spweight) == ncol(x)) { W <- array(rep(spweight, each=nrow(x)^2), dim=c(nrow(x), nrow(x), ncol(x))) D <- apply(W*A, 1:2, function(x)sum(abs(x))) / apply(W, 1:2, sum) } else { stop("Unknown weighting method.\n") } } ## Make the results lower triangular D <- D[col(D) < row(D)] ## give the results attributes similar to dist() attr(D, "Size") <- N attr(D, "Labels") <- rownames(x) attr(D, "Diag") <- FALSE attr(D, "Upper") <- FALSE attr(D, "method") <- METHODS[method] class(D) <- "dist" D } ecodist/MD50000644000176000001440000000455212247443774012270 0ustar ripleyusersf14263d4f733de33517ca0f829006d22 *DESCRIPTION 2398c982133e66969d6566c44e805f8d *NAMESPACE 4083f8c7605ec15a1967dd17598bfca3 *R/MRM.R 4af5499e56a6d455a5aa1bf7aabcc548 *R/bcdist.R 9d732c41ce2298a23876b98723b94783 *R/cor2m.R a6ac5872408b8e3203c99014a5a99f1f *R/corgen.R 0fbaa4ab12ee5752a0b36d23ad015dc0 *R/crosstab.R 2689a254a4618cd04475cd25b75363a7 *R/distance.R 835e62b78a342d108b4532582710e698 *R/fixdmat.R a16a1c88648c2b858b3accc16c6a6cc0 *R/full.R 70f5dc838721bfd2abdfa8569793a78b *R/lower.R 30e20defa8b120ffb0976c508994fe52 *R/mantel.R a12e79f23787469146ac30dee810f42e *R/mgram.R 41170090d022d1206b5176a8fb2ca2b1 *R/nmds.R daa6604ac41beaf23c75d66fd63dc922 *R/nmdsmin.R c6e5800257e552c9b04350a9f522b9d6 *R/pco.R feba53fdff4f51b2d08d901d89695695 *R/plot.mgram.R f73448c19e487680d9eda76ba6967f78 *R/plot.vf.R 7d1693fa6aa29fc095182fd0b56182b7 *R/pmgram.R 3edb216d47fc3f2394209d4ef7f40955 *R/residuals.mgram.R 42b2064bcfaf9a58e8ebcd02fc4d3d9e *R/vf.R 700a68099719fff9a0adcc2449f2533e *data/bump.rda 89d9c88dea0f79cc77a535dfabace8f8 *data/datalist 87db4d8a22d093af9273f93ad0529c1f *data/graze.rda 4eaa1ee3e0cb10b222c91d9706d49f6c *data/permresults.rda f47f634fbe21cca4076998086898f770 *inst/CITATION dca3cccadbea4613203c0a46ca8a69a6 *man/MRM.Rd e95596020a12ac3f4436d20474defb62 *man/bcdist.Rd dbc773298dd6afb822a24dab41b46aa6 *man/bump.Rd 2bc6616217b54df142b32ec78d3b68da *man/cor2m.Rd 2548d31a0cd31110ec5c1bd3804bef6d *man/corgen.Rd 563c87fc6be93cce137b4e1f6f0d45ae *man/crosstab.Rd 889e147a6d030d9d9931dcbcd0d8dc56 *man/distance.Rd 52977f8ac335cb63855c0a343150f006 *man/ecodist-package.Rd fb25357b2cc8112579ca060c41e8b3fb *man/fixdmat.Rd 140546ce076d65b44cf842dfe9c98cb4 *man/full.Rd 8ae1f2af31aa84e4897730ea3ddf7848 *man/graze.Rd f59c720582b8a1cf4162b8dd0c63280d *man/lower.Rd d089f54ed86a2dab339e52feecbf8667 *man/mantel.Rd ec857bb0b35a3407ccc474cf87c25cf5 *man/mgram.Rd a924b7157f8842efe93e2a36eba0456d *man/nmds.Rd afb8aa6f6d5bb66753a76e9fbeb8631c *man/nmds.min.Rd 4c98c4a48134dddeaa707f9ab1e52f22 *man/pco.Rd ac322374e07e962ee96910f9238aaee6 *man/permresults.Rd 9f2ea9ec4ee775692573b39a13c99354 *man/plot.mgram.Rd f99e51fb61283e5796b29914c6602ab2 *man/plot.vf.Rd 041f4229325c3d147e276bf61194f907 *man/pmgram.Rd 5aa1b70fe23be5af235ffd2a6416ffb9 *man/residuals.mgram.Rd 4972346c952dca7978c76a046e71a3fa *man/vf.Rd 7ad45eea54b4e506438c8dd620473f96 *src/Makevars c37c3575047c2cf6ca64fbed6de9e4d9 *src/ecodist.c ecodist/DESCRIPTION0000644000176000001440000000101512247443774013455 0ustar ripleyusersPackage: ecodist Version: 1.2.9 Date: 2013-12-03 Title: Dissimilarity-based functions for ecological analysis Author: Sarah Goslee and Dean Urban Maintainer: Sarah Goslee Depends: R (>= 3.0.0) Imports: stats Description: Dissimilarity-based analysis functions including ordination and Mantel test functions, intended for use with spatial and community data. License: GPL (>= 2) Packaged: 2013-12-03 19:37:58 UTC; sarahg NeedsCompilation: yes Repository: CRAN Date/Publication: 2013-12-03 22:07:08 ecodist/man/0000755000176000001440000000000012247427537012524 5ustar ripleyusersecodist/man/mgram.Rd0000644000176000001440000000611012247427517014112 0ustar ripleyusers\name{mgram} \alias{mgram} %- Also NEED an '\alias' for EACH other topic documented here. \title{ Mantel correlogram } \description{ Calculates simple and partial Mantel correlograms. } \usage{ mgram(species.d, space.d, breaks, nclass, stepsize, nperm = 1000, mrank = FALSE, nboot = 500, pboot = 0.9, cboot = 0.95, alternative = "two.sided", trace = FALSE) } \arguments{ \item{species.d}{ lower-triangular dissimilarity matrix. } \item{space.d}{ lower-triangular matrix of geographic distances. } \item{breaks}{ locations of class breaks. If specified, overrides nclass and stepsize. } \item{nclass}{ number of distance classes. If not specified, Sturge's rule will be used to determine an appropriate number of classes. } \item{stepsize}{ width of each distance class. If not specified, nclass and the range of space.d will be used to calculate an appropriate default. } \item{nperm}{ number of permutations to use. If set to 0, the permutation test will be omitted. } \item{mrank}{ if this is set to F (the default option), Pearson correlations will be used. If set to T, the Spearman correlation (correlation ranked distances) will be used. } \item{nboot}{ number of iterations to use for the bootstrapped confidence limits. If set to 0, the bootstrapping will be omitted. } \item{pboot}{ the level at which to resample the data for the bootstrapping procedure. } \item{cboot}{ the level of the confidence limits to estimate. } \item{alternative}{ default is "two.sided", and returns p-values for H0: rM = 0. The alternative is "one.sided", which returns p-values for H0: rM <= 0. } \item{trace}{ if TRUE, returns progress indicators. } } \details{ This function calculates Mantel correlograms. The Mantel correlogram is essentially a multivariate autocorrelation function. The Mantel r represents the dissimilarity in variable composition (often species composition) at a particular lag distance. } \value{ Returns an object of class mgram, which is a list with two elements. mgram is a matrix with one row for each distance class and 6 columns: \item{lag }{midpoint of the distance class.} \item{ngroup }{number of distances in that class.} \item{mantelr }{Mantel r value.} \item{pval }{p-value for the test chosen.} \item{llim }{lower bound of confidence limit for mantelr.} \item{ulim }{upper bound of confidence limit for mantelr.} resids is NA for objects calculated by mgram(). } \references{ Legendre, P. and M. Fortin. 1989. Spatial pattern and ecological analysis. Vegetatio 80:107-138. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{mantel}}, \code{\link{plot.mgram}}, \code{\link{pmgram}} } \examples{ \dontrun{ # generate a simple surface x <- matrix(1:10, nrow=10, ncol=10, byrow=FALSE) y <- matrix(1:10, nrow=10, ncol=10, byrow=TRUE) z <- x + 3*y image(z) # analyze the pattern of z across space space <- cbind(as.vector(x), as.vector(y)) z <- as.vector(z) space.d <- distance(space, "eucl") z.d <- distance(z, "eucl") z.mgram <- mgram(z.d, space.d, nperm=0) plot(z.mgram) } } \keyword{ multivariate }% at least one, from doc/KEYWORDS ecodist/man/nmds.min.Rd0000644000176000001440000000245011712524620014522 0ustar ripleyusers\name{nmds.min} \alias{nmds.min} \title{ Find minimum stress configuration } \description{ Finds minimum stress configuration from output of nmds() } \usage{ nmds.min(x, dims = 0) } \arguments{ \item{x}{ output from nmds() } \item{dims}{ desired dimensionality of result. If dims == 0 (the default) then the overall minimum stress configuration is chosen. } } \value{ Configuration of minimum stress ordination (dataframe of coordinates). The stress and r^2 for the minimum stress configuration are stored as attributes. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{nmds}} } \examples{ \dontrun{ # Example of multivariate analysis using built-in iris dataset data(iris) iris <- iris[seq(1, 150, by=3),] iris.md <- distance(iris[,1:4], "mahal") # Minimum-stress 2-dimensional nonmetric multidimensional scaling configuration # Uses small number of separate ordinations (5) to increase speed of example. # Use more for final analysis. iris.nmds <- nmds(iris.md, mindim=2, maxdim=2, nits=3) iris.nmin <- nmds.min(iris.nmds) # Plot NMDS result with symbols denoting species plot(iris.nmin, pch=as.numeric(iris[,5])) # Fit vectors for the main variables to the NMDS configuration iris.vf <- vf(iris.nmin, iris[,1:4], nperm=10) plot(iris.vf, col="blue") } } \keyword{ multivariate } ecodist/man/permresults.Rd0000644000176000001440000000616212247427473015404 0ustar ripleyusers\name{permresults} \alias{permresults} \docType{data} \title{ Mantel test results for number of permutations, correlation and dataset size.} \description{ These results explore the variability in randomization tests of significance and in bootstrap confidence limits for different sample sizes, strengths of relationship and numbers of permutations. } \usage{data(permresults)} \format{ A data frame with 15000 observations on the following 17 variables. \describe{ \item{\code{n}}{The number of samples.} \item{\code{r}}{The Mantel r of the dissimilarity vectors.} \item{\code{p500}}{The p-values generated using 500 permutations.} \item{\code{l100}}{The lower confidence limit generated using 100 subsamples.} \item{\code{u100}}{The upper confidence limit generated using 100 subsamples.} \item{\code{p1000}}{p-values with 1,000 permutations} \item{\code{l500}}{lower CI with 500 permutations} \item{\code{u500}}{upper CI with 500 permutations} \item{\code{p10000}}{p-values with 10,000 permutations} \item{\code{l1000}}{lower CI with 1,000 permutations} \item{\code{u1000}}{upper CI with 1,000 permutations} \item{\code{p100000}}{p-values with 100,000 permutations} \item{\code{l10000}}{lower CI with 10,000 permutations} \item{\code{u10000}}{upper CI with 10,000 permutations} \item{\code{p1000000}}{p-values with 1,000,000 permutations} \item{\code{l100000}}{lower CI with 100,000 permutations} \item{\code{u100000}}{upper CI with 100,000 permutations} } } \details{ These simulation results are included here because the entire simulation takes an extremely long time to run. The tests explored how the p-value and confidence limits varied with: \preformatted{ - number of samples (10 (45 dissimilarities), 25 (300), 50 (1225), 100 (4950)) - number of permutations: 500, 1000, 10000, 100000, 1000000 - number of bootstrap samples: 100, 500, 1000, 10000, 100000 - correlation of the original data: 0.01, 0.05, 0.10, 0.25, 0.50 } The larger correlation values were omitted for the larger sample sizes because they were always highly signficant, and an additional low value of 0.025 was added for the largest sample size. The method used to generate the data is shown in the example section. } \examples{ data(permresults) \dontrun{ # Simulation Method # example for sample size 10, correlation of 0.01 permresults <- data.frame(matrix(0, nrow=1000, ncol=17)) colnames(permresults) <- c("n", "r", "p500", "l100", "u100", "p1000", "l500", "u500", "p10000", "l1000", "u1000", "p100000", "l10000", "u10000", "p1000000", "l100000", "u100000") # generate correlated data corxy.len010.r010 <- corgen(len= 10, r= 0.01, epsilon=0.0001) all.nperm <- c(500, 1000, 10000, 100000, 1000000) all.nboot <- c(100, 500, 1000, 10000, 100000) for(i in 1:1000) { permresults[i, 1] <- 10 permresults[i, 2] <- 0.01 for(j in 1:5) { # record p-value, lower and upper confidence limits thismantel <- mantel(corxy.len010.r010$y ~ corxy.len010.r010$x, nperm=all.nperm[j], nboot=all.nboot[j]) permresults[i, (3*j):(3*j + 2)] <- c(thismantel[c(2,5,6)]) } } } } \keyword{datasets} ecodist/man/crosstab.Rd0000644000176000001440000000406212045035224014615 0ustar ripleyusers\name{crosstab} \alias{crosstab} \title{ Data formatting } \description{ Converts field data of the form site, species, observation into a matrix. } \usage{ crosstab(rowlab, collab, values, type = "sum", data, allrows, allcols, ...) } \arguments{ \item{rowlab}{ row labels, e.g. site names. } \item{collab}{ column labels, e.g. species names. } \item{values}{ data values. } \item{data}{ optional data argument to take rowlab, collab and/or values from. } \item{type}{ function to use to combine data, one of "sum" (default), "min", "max", "mean", "count". } \item{allrows}{ optional, list of all desired row names that may not appear in rowlab. } \item{allcols}{ optional, list of all desired column names that may not appear in collab. } \item{...}{ optional arguments to the function specified in type, such as na.rm=TRUE} } \details{ Field data are often recorded as a separate row for each site-species combination. This function turns them into a matrix for further analysis based on unique row and column labels. The three vectors should all be the same length (including duplicates). The three vectors may also be provided as names of columns in the data frame specified by the data argument. If allrows or allcols exists, rows and/or columns of zeros are inserted for any elements of allrows/allcols not present in rowlab/collab. If values is missing the number of occurrences of combinations of rowlab and collab will be returned. Thus, crosstab(rowlab, collab) is equivalent to table(rowlab, collab). If type is "count", the unique combinations of rowlab, collab and values will be returned. } \value{ matrix with rowlab as row headings, collab as columns, and values as the data. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \examples{ # Make a random example plotnames <- sort(rep(1:5, 6)) speciesnames <- rep(c("A", "B", "C"), 10) freqdata <- runif(30) # number of samples of each species and plot crosstab(plotnames, speciesnames) # mean frequency by species and plot crosstab(plotnames, speciesnames, freqdata, type="mean") } \keyword{ manip } ecodist/man/fixdmat.Rd0000644000176000001440000000146011316224320014425 0ustar ripleyusers\name{fixdmat} \alias{fixdmat} \title{ Distance matrix conversion } \description{ Converts a row-order lower-triangular distance matrix to a full symmetric matrix. } \usage{ fixdmat(v) } \arguments{ \item{v}{ lower-triangular distance matrix in row order. } } \details{ R and S-Plus distance functions such as dist and bcdist return a lower triangular distance matrix in column order. Some other programs, such as EUCLID, return the lower triangular matrix in row order. To use this matrix in R/S-Plus functions, it must be converted from row order to column order. } \value{ Full symmetric distance matrix. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{lower}}, \code{\link{full}}, \code{\link{dist}}, \code{\link{bcdist}} } \keyword{ manip }% at least one, from doc/KEYWORDS ecodist/man/cor2m.Rd0000644000176000001440000000252611316224322014021 0ustar ripleyusers\name{cor2m} \alias{cor2m} \title{ Generates a correlation table between the variables of 2 matrices } \description{ cor2m generates a correlation table between the variables of 2 matrices--by design, species and environment. It stores these in a table with species as columns and envnvironmental variables as rows, so it's easy to scan. It also removes correlations less than a user-specified alpha (0.05 by default) } \usage{ cor2m(x, y, trim = TRUE, alpha = 0.05) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{x}{ A matrix of species (or other) variables } \item{y}{ A matrix of environmental (or other) variables matching the sites of x } \item{trim}{ If trim is TRUE, set rho } \seealso{ \code{\link{dist}} } \examples{ data(iris) iris.md <- distance(iris[,1:4], "mahal") } \keyword{ multivariate } ecodist/man/lower.Rd0000644000176000001440000000150411316224320014120 0ustar ripleyusers\name{lower} \alias{lower} \title{ Lower-triangular matrix } \description{ Converts a symmetric distance matrix to a column order lower triangular matrix. } \usage{ lower(m) } \arguments{ \item{m}{ a symmetric distance matrix. } } \details{ Converts a symmetric matrix, for example a dissimilarity matrix, into a lower- triangular matrix. This may be useful to format the input for certain clustering and ordination functions. Note that lower() used on a 1x1 matrix will return the single element, which may not be the correct behavior in all cases, while full() used on a single element will return a 2x2 matrix. } \value{ a column order lower triangular matrix. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{full}}, \code{\link{fixdmat}}, } \keyword{ manip }% at least one, from doc/KEYWORDS ecodist/man/mantel.Rd0000644000176000001440000000621412247427506014272 0ustar ripleyusers\name{mantel} \alias{mantel} %- Also NEED an '\alias' for EACH other topic documented here. \title{ Mantel test } \description{ Simple and partial Mantel tests, with options for ranked data, permutation tests, and bootstrapped confidence limits. } \usage{ mantel(formula = formula(data), data = sys.parent(), nperm = 1000, mrank = FALSE, nboot = 500, pboot = 0.9, cboot = 0.95) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{formula}{ formula in R/S-Plus format describing the test to be conducted. For this test, y ~ x will perform a simple Mantel test, while y ~ x + z1 + z2 + z3 will do a partial Mantel test of the relationship between x and y given z1, z2, z3. All variables can be either a distance matrix of class dist or vectors of dissimilarities. } \item{data}{ an optional dataframe containing the variables in the model as columns of dissimilarities. By default the variables are taken from the current environment. } \item{nperm}{ number of permutations to use. If set to 0, the permutation test will be omitted. } \item{mrank}{ if this is set to FALSE (the default option), Pearson correlations will be used. If set to TRUE, the Spearman correlation (correlation ranked distances) will be used. } \item{nboot}{ number of iterations to use for the bootstrapped confidence limits. If set to 0, the bootstrapping will be omitted. } \item{pboot}{ the level at which to resample the data for the bootstrapping procedure. } \item{cboot}{ the level of the confidence limits to estimate. } } \details{ If only one independent variable is given, the simple Mantel r (r12) is calculated. If more than one independent variable is given, the partial Mantel r (ryx|x1 ...) is calculated by permuting one of the original dissimilarity matrices. The bootstrapping is actually resampling without replacement, because duplication of samples is not useful in a dissimilarity context (the dissimilarity of a sample with itself is zero). Resampling within dissimilarity values is inappropriate, just as for permutation. } \value{ \item{mantelr }{Mantel coefficient.} \item{pval1 }{one-tailed p-value (null hypothesis: r <= 0).} \item{pval2 }{one-tailed p-value (null hypothesis: r >= 0).} \item{pval3 }{two-tailed p-value (null hypothesis: r = 0).} \item{llim }{lower confidence limit.} \item{ulim }{upper confidence limit.} } \references{ Mantel, N. 1967. The detection of disease clustering and a generalized regressio n approach. Cancer Research 27:209-220. Smouse, P.E., J.C. Long and R.R. Sokal. 1986. Multiple regression and correlatio n extensions of the Mantel test of matrix correspondence. Systematic Zoology 35:62 7-632. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{mgram}} } \examples{ \dontrun{ # Example of multivariate analysis using built-in iris dataset data(iris) iris.md <- distance(iris[,1:4], "mahal") # Create a model matrix for testing species differences iris.model <- distance(as.numeric(iris[,5]), "eucl") iris.model[iris.model > 0] <- 1 # Test whether samples within the same species are more similar than those not mantel(iris.md ~ iris.model, nperm=10000) } } \keyword{ multivariate } ecodist/man/plot.mgram.Rd0000644000176000001440000000232411316224322015053 0ustar ripleyusers\name{plot.mgram} \alias{plot.mgram} %- Also NEED an '\alias' for EACH other topic documented here. \title{ Plot a Mantel correlogram } \description{ Plot a Mantel correlogram from an object of S3 class \code{mgram}, using solid symbols for significant values. } \usage{ \method{plot}{mgram}(x, pval = 0.05, xlab = "Distance", ylab = "Mantel r", ...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{x}{ an object of class \code{mgram} } \item{pval}{ cut-off level for statistical significance. } \item{xlab}{ x-axis label. } \item{ylab}{ y-axis label. } \item{\dots}{ optional, any additional graphics parameters. } } \value{ draws a plot (graphics device must be active). } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{mgram}} } \examples{ \dontrun{ # generate a simple surface x <- matrix(1:10, nrow=10, ncol=10, byrow=FALSE) y <- matrix(1:10, nrow=10, ncol=10, byrow=TRUE) z <- x + 3*y image(z) # analyze the pattern of z across space space <- cbind(as.vector(x), as.vector(y)) z <- as.vector(z) space.d <- distance(space, "eucl") z.d <- distance(z, "eucl") z.mgram <- mgram(z.d, space.d, nperm=0) plot(z.mgram) } } \keyword{ multivariate } \keyword{ hplot } ecodist/man/corgen.Rd0000644000176000001440000000341011316224322014245 0ustar ripleyusers\name{corgen} \alias{corgen} \title{ Generate correlated data } \description{ Generate correlated data vectors of a given length. } \usage{ corgen(len, x, r, population = FALSE, epsilon = 0) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{len}{ Length of data vectors. } \item{x}{ Independent data. If x is specified, the population parameter is automatically set to TRUE. } \item{r}{ Correlation between data vectors. } \item{population}{ TRUE for vectors drawn from two populations with correlation r, otherwise r is the sample correlation. } \item{epsilon}{ If epsilon = 0, it has no effect, otherwise the sampling process is repeated until the sample correlation is within epsilon of r. This option allows the production of exactly-correlated data, within the limits of epsilon. Setting epsilon > 0 invalidates the population setting; data will be correlated within that range, rather than sampled from that population. } } \value{ \item{x }{First data vector, either generated by corgen or given by the user. } \item{y }{Second data vector. } ... } \details{ Either x or len must be specified. This function has additional capabilities beyond the corgen function available in the stats package. } \author{ Sarah Goslee } \examples{ # create two random variables of length 100 with correlation # of 0.10 +/- 0.01 xy <- corgen(len=100, r=.1, epsilon=0.01) # create two random variables of length 100 drawn from a population with # a correlation of -0.82 xy <- corgen(len=100, r=-0.82, population=TRUE) # create a variable y within 0.01 of the given correlation to x x <- 1:100 y <- corgen(x=x, r=.5, epsilon=.01)$y } % Add one or more standard keywords, see file 'KEYWORDS' in the % R documentation directory. \keyword{ distribution } ecodist/man/MRM.Rd0000644000176000001440000000357611316224322013440 0ustar ripleyusers\name{MRM} \alias{MRM} %- Also NEED an '\alias' for EACH other topic documented here. \title{ Multiple Regression on distance Matrices } \description{ Multiple regression on distance matrices (MRM) using permutation tests of significance for regression coefficients and R-squared. } \usage{ MRM(formula = formula(data), data = sys.parent(), nperm = 1000, mrank = FALSE) } \arguments{ \item{formula}{ formula in R/S-Plus format describing the test to be conducted. } \item{data}{ an optional dataframe containing the variables in the model as columns of dissimilarities. By default the variables are taken from the current environment. } \item{nperm}{ number of permutations to use. If set to 0, the permutation test will be omitted. } \item{mrank}{if this is set to FALSE (the default option), Pearson correlations will be used. If set to TRUE, the Spearman correlation (correlation ranked distances) will be used. } } \details{ Performs multiple regression on distance matrices following the methods outlined in Legendre et al. 1994. } \value{ \item{coef }{A matrix with regression coefficients and associated p-values from the permutation test (using the pseudo-t of Legendre et al. 1994).} \item{r.squared }{Regression R-squared and associated p-value from the permutation test. } \item{F.test }{F-statistic and p-value for overall F-test for lack of fit.} } \references{ Lichstein, J. 2007. Multiple regression on distance matrices: A multivariate spatial analysis tool. Plant Ecology 188: 117-131. Legendre, P.; Lapointe, F. and Casgrain, P. 1994. Modeling brain evolution from behavior: A permutational regression approach. Evolution 48: 1487-1499. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{mantel}} } \examples{ data(graze) LOAR10.mrm <- MRM(dist(LOAR10) ~ dist(sitelocation) + dist(forestpct), data=graze, nperm=100) } \keyword{ multivariate } ecodist/man/ecodist-package.Rd0000644000176000001440000001044611355432212016024 0ustar ripleyusers\name{ecodist-package} \alias{ecodist-package} \alias{ecodist} \docType{package} \title{ Dissimilarity-based functions for ecological analysis } \description{ Dissimilarity-based analysis functions including ordination and Mantel test functions with multiple partials, intended for use with spatial and community data. } \details{ \tabular{ll}{ Package: \tab ecodist\cr Version: \tab 1.2.2\cr Date: \tab 2011-04-02\cr Depends: \tab stats\cr License: \tab GPL version 2 or newer\cr } Index: \preformatted{ bcdist Bray-Curtis distance cor2m Generates a correlation table between the variables of 2 matrices corgen Generate correlated data crosstab Data formatting distance Calculate dissimilarity/distance metrics fixdmat Distance matrix conversion full Full symmetric matrix lower Lower-triangular matrix mantel Mantel test mgram Mantel correlogram nmds Non-metric multidimensional scaling nmds.min Find minimum stress configuration pco Principal coordinates analysis plot.mgram Plot a Mantel correlogram plot.vf Plot fitted vectors onto an ordination diagram pmgram Partial Mantel correlogram vf Vector fitting } } \author{ Sarah Goslee and Dean Urban Maintainer: Sarah Goslee } \references{ Goslee, S.C. and Urban, D.L. 2007. The ecodist package for dissimilarity-based analysis of ecological data. Journal of Statistical Software 22(7):1-19. } \keyword{ multivariate } \examples{ ## Distance example using a subset of the built-in iris dataset data(iris) iris <- iris[seq(1, 150, by=3),] iris.md <- distance(iris[,1:4], "mahal") iris.bc <- bcdist(iris[,1:4]) # compare Mahalanobis and Bray-Curtis dissimilarities plot(iris.md, iris.bc, xlab="Mahalanobis", ylab="Bray-Curtis") ## NMDS example # Example of multivariate analysis using built-in iris dataset # Minimum-stress 2-dimensional nonmetric multidimensional scaling configuration # Uses only 3 starting configuration to increase speed of example. # Use more for final analysis to make it more likely that you find the # global minimum configuration. iris.nmds <- nmds(iris.md, mindim=2, maxdim=2, nits=3) iris.nmin <- nmds.min(iris.nmds) # Plot NMDS result with symbols denoting species plot(iris.nmin, pch=as.numeric(iris[,5])) # Fit vectors for the main variables to the NMDS configuration # Use more permutations for analysis and publication. iris.vf <- vf(iris.nmin, iris[,1:4], nperm=50) plot(iris.vf, col="blue") ## PCO example iris.pco <- pco(iris.md) # scatterplot of the first two dimensions plot(iris.pco$vectors[,1], iris.pco$vectors[,2], pch=as.numeric(iris[,5])) ## Mantel test example # Example of multivariate analysis using built-in iris dataset # Create a model matrix for testing species differences iris.model <- distance(as.numeric(iris[,5]), "eucl") iris.model[iris.model > 0] <- 1 # Test whether samples within the same species are more similar than those not # Use very low numbers of permutations to increase speed of example. # Use many permutations for final analyses! mantel(iris.md ~ iris.model, nperm=50, nboot=0) ## Mantel correlogram example # generate a simple surface x <- matrix(1:10, nrow=10, ncol=10, byrow=FALSE) y <- matrix(1:10, nrow=10, ncol=10, byrow=TRUE) z <- x + 3*y image(z) # analyze the pattern of z across space space <- cbind(as.vector(x), as.vector(y)) z <- as.vector(z) space.d <- distance(space, "eucl") z.d <- distance(z, "eucl") z.mgram <- mgram(z.d, space.d, nperm=0) plot(z.mgram) ## Partial Mantel correlogram example # generate a simple surface x <- matrix(1:10, nrow=10, ncol=10, byrow=FALSE) y <- matrix(1:10, nrow=10, ncol=10, byrow=TRUE) z1 <- x + 3*y z2 <- 2*x - y # look at patterns par(mfrow=c(1,2)) image(z1) image(z2) # analyze the pattern of z across space z1 <- as.vector(z1) z2 <- as.vector(z2) z1.d <- distance(z1, "eucl") z2.d <- distance(z2, "eucl") space <- cbind(as.vector(x), as.vector(y)) space.d <- distance(space, "eucl") # take partial correlogram of z2 on the residuals of z1 ~ space.d z.pmgram <- pmgram(z1.d, space.d, z2.d, nperm=0) par(mfrow=c(1,1)) plot(z.pmgram, pval=0.1) } ecodist/man/full.Rd0000644000176000001440000000131211316224320013727 0ustar ripleyusers\name{full} \alias{full} \title{ Full symmetric matrix } \description{ Converts a column order distance matrix to a full symmetric matrix. } \usage{ full(v) } \arguments{ \item{v}{ lower-triangular column order distance matrix. } } \details{ Converts lower-triangular distance matrix as written by R/S-Plus functions into a symmetric matrix. Note that lower() used on a 1x1 matrix will return the single element, which may not be the correct behavior in all cases, while full() used on a single element will return a 2x2 matrix. } \value{ a full symmetric matrix. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{lower}} } \keyword{ manip }% at least one, from doc/KEYWORDS ecodist/man/graze.Rd0000644000176000001440000001113111316224320014075 0ustar ripleyusers\name{graze} \alias{graze} \docType{data} \title{ Site information and grazed vegetation data. } \description{ These data contain site location, landscape context and dominant plant species abundances for 50 grazed pastures in the northeastern United States. Elements are the mean values for canopy cover for ten 0.5 x 2 m quadrats. } \usage{data(graze)} \format{ A data frame with 50 observations on the following 67 variables. \describe{ \item{\code{sitelocation}}{ Site location along a geographic gradient. } \item{\code{forestpct}}{Percentage forest cover within a 1-km radius.} \item{\code{ACMI2}}{percentage canopy cover} \item{\code{AGGI2}}{percentage canopy cover} \item{\code{AGROS2}}{percentage canopy cover} \item{\code{ANAR6}}{percentage canopy cover} \item{\code{ANOD}}{percentage canopy cover} \item{\code{ARMI2}}{percentage canopy cover} \item{\code{ASSY}}{percentage canopy cover} \item{\code{BRCA5}}{percentage canopy cover} \item{\code{BRIN2}}{percentage canopy cover} \item{\code{CEFO2}}{percentage canopy cover} \item{\code{CIAR4}}{percentage canopy cover} \item{\code{CIIN}}{percentage canopy cover} \item{\code{CIVU}}{percentage canopy cover} \item{\code{DACA6}}{percentage canopy cover} \item{\code{DAGL}}{percentage canopy cover} \item{\code{DRYOP}}{percentage canopy cover} \item{\code{ELRE4}}{percentage canopy cover} \item{\code{ERAN}}{percentage canopy cover} \item{\code{EUGRG}}{percentage canopy cover} \item{\code{FERU2}}{percentage canopy cover} \item{\code{FRVI}}{percentage canopy cover} \item{\code{GAMO}}{percentage canopy cover} \item{\code{HIERA}}{percentage canopy cover} \item{\code{HOLA}}{percentage canopy cover} \item{\code{HYPU}}{percentage canopy cover} \item{\code{HYRA3}}{percentage canopy cover} \item{\code{JUEF}}{percentage canopy cover} \item{\code{LEAU2}}{percentage canopy cover} \item{\code{LEVU}}{percentage canopy cover} \item{\code{LOAR10}}{percentage canopy cover} \item{\code{LOCO6}}{percentage canopy cover} \item{\code{LOPE}}{percentage canopy cover} \item{\code{MOVE}}{percentage canopy cover} \item{\code{OXST}}{percentage canopy cover} \item{\code{PEGL2}}{percentage canopy cover} \item{\code{PHAR3}}{percentage canopy cover} \item{\code{PHPR3}}{percentage canopy cover} \item{\code{PLLA}}{percentage canopy cover} \item{\code{PLMA2}}{percentage canopy cover} \item{\code{POAV}}{percentage canopy cover} \item{\code{POCA17}}{percentage canopy cover} \item{\code{POLA4}}{percentage canopy cover} \item{\code{POLYG}}{percentage canopy cover} \item{\code{PONO3}}{percentage canopy cover} \item{\code{POPR}}{percentage canopy cover} \item{\code{POSI2}}{percentage canopy cover} \item{\code{POTEN}}{percentage canopy cover} \item{\code{PRVU}}{percentage canopy cover} \item{\code{RAAC3}}{percentage canopy cover} \item{\code{RUBUS}}{percentage canopy cover} \item{\code{RUCR}}{percentage canopy cover} \item{\code{SIOF}}{percentage canopy cover} \item{\code{SOLID}}{percentage canopy cover} \item{\code{SORU2}}{percentage canopy cover} \item{\code{STGR}}{percentage canopy cover} \item{\code{STME2}}{percentage canopy cover} \item{\code{SYLA4}}{percentage canopy cover} \item{\code{TAOF}}{percentage canopy cover} \item{\code{THVU}}{percentage canopy cover} \item{\code{TRAU2}}{percentage canopy cover} \item{\code{TRHY}}{percentage canopy cover} \item{\code{TRPR2}}{percentage canopy cover} \item{\code{TRRE3}}{percentage canopy cover} \item{\code{VEOF2}}{percentage canopy cover} \item{\code{VICIA}}{percentage canopy cover} } } \details{ Site locations fall along a southwest-northeast transect through the northeastern United States. This is a synthetic gradient calculated from latitude and longitude. Forest landcover is taken from the USGS 1992 National Land Cover Dataset. All forest classes were combined, and the percentage within 1 km of the sample sites was calculated using a GIS. Species codes follow the USDA Plants database. Species with a maximum cover <= 1 have been omitted. } \source{ Details of these data are available in Tracy and Sanderson (2000) and Goslee, Sanderson and Tracy (ms in review). The 1992 NLCD data can be obtained from http://www.mrlc.gov/. Species codes are from http://plants.usda.gov. } \references{ Tracy, B.F. and M.A. Sanderson. 2000. Patterns of plant species richness in pasture lands of the northeast United States. Plant Ecology 149:169-180. } \examples{ data(graze) } \keyword{datasets} ecodist/man/bump.Rd0000644000176000001440000000100011316224322013724 0ustar ripleyusers\name{bump} \alias{bump} \docType{data} \title{ Nine-bump spatial pattern} \description{ A two-dimensional artificial "landscape" illustrating the kind of spatial pattern that might be seen across mountain peaks. } \usage{data(bump)} \format{ The format is: int [1:25, 1:25] 2 2 2 2 2 2 2 2 2 2 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:25] "1" "3" "5" "7" ... ..$ : chr [1:25] "V1" "V3" "V5" "V7" ... } \examples{ data(bump) image(bump) ## maybe str(bump) ; plot(bump) ... } \keyword{datasets} ecodist/man/nmds.Rd0000644000176000001440000000534212247427533013754 0ustar ripleyusers\name{nmds} \alias{nmds} \title{ Non-metric multidimensional scaling } \description{ Non-metric multidimensional scaling. } \usage{ nmds(dmat, mindim = 1, maxdim = 2, nits = 10, iconf = 0, epsilon = 1e-12, maxit = 500, trace = FALSE, stresscalc="default") } %- maybe also 'usage' for other objects documented here. \arguments{ \item{dmat}{ lower-triangular dissimilarity matrix. } \item{mindim}{ optional, minimum number of dimensions to use. } \item{maxdim}{ optional, maximum number of dimensions to use. } \item{nits}{ optional, number of separate ordinations to use. } \item{iconf}{ optional, initial configuration. If not specified, then a random configuration is used. } \item{epsilon}{ optional, acceptable difference in stress. } \item{maxit}{ optional, maximum number of iterations. } \item{trace}{ if TRUE, will write progress indicator to the screen. } \item{stresscalc}{ if "default" uses modified stress calculation; if "kruskal" uses unmodified Kruskal stress calculation. } } \details{ The goal of NMDS is to find a configuration in a given number of dimensions which preserves rank-order dissimilarities as closely as possible. The number of dimensions must be specified in advance. Because NMDS is prone to finding local minima, several random starts must be used. Stress is used as the measure of goodness of fit. A lower stress indicates a better match between dissimilarity and ordination. } \value{ \item{conf }{list of configurations.} \item{stress }{list of final stress values.} \item{r2 }{total variance explained by each configuration.} The first results are for the lowest number of dimensions (total number is (mindim - maxdim + 1) * nits). } \references{ Kruskal, J.B. 1964. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika 29:1-27. Minchin, P.R. 1987. An evaluation of the relative robustness of techniques for ecological ordination. Vegetatio 96:89-108. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{nmds.min}}, \code{\link{vf}} } \examples{ \dontrun{ # Example of multivariate analysis using built-in iris dataset data(iris) iris <- iris[seq(1, 150, by=3),] iris.md <- distance(iris[,1:4], "mahal") # Minimum-stress 2-dimensional nonmetric multidimensional scaling configuration # Uses small number of separate ordinations (5) to increase speed of example. # Use more for final analysis. iris.nmds <- nmds(iris.md, mindim=2, maxdim=2, nits=3) iris.nmin <- nmds.min(iris.nmds) # Plot NMDS result with symbols denoting species plot(iris.nmin, pch=as.numeric(iris[,5])) # Fit vectors for the main variables to the NMDS configuration iris.vf <- vf(iris.nmin, iris[,1:4], nperm=10) plot(iris.vf, col="blue") } } \keyword{ multivariate } ecodist/man/plot.vf.Rd0000644000176000001440000000304511316224322014364 0ustar ripleyusers\name{plot.vf} \alias{plot.vf} \title{ Plots fitted vectors onto an ordination diagram } \description{ Add vector fitting arrows to an existing ordination plot. } \usage{ \method{plot}{vf}(x, pval = 1, cex = 0.8, ascale = 0.9, ...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{x}{ an object of S3 class \code{vf}, created by \code{vf()} } \item{pval}{ optional, critical p-value for choosing variables to plot } \item{cex}{ text size } \item{ascale}{ optional, proportion of plot area to use when calculating arrow length } \item{\dots}{ optional, other graphics parameters } } \value{ Adds arrows to an existing ordination plot. Only arrows with a p-value less than pval are added. By default, all variables are shown. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{vf}}} \examples{ \dontrun{ # Example of multivariate analysis using built-in iris dataset data(iris) iris <- iris[seq(1, 150, by=3),] iris.md <- distance(iris[,1:4], "mahal") # Minimum-stress 2-dimensional nonmetric multidimensional scaling configuration # Uses small number of separate ordinations (5) to increase speed of example. # Use more for final analysis. iris.nmds <- nmds(iris.md, mindim=2, maxdim=2, nits=3) iris.nmin <- nmds.min(iris.nmds) # Plot NMDS result with symbols denoting species plot(iris.nmin, pch=as.numeric(iris[,5])) # Fit vectors for the main variables to the NMDS configuration iris.vf <- vf(iris.nmin, iris[,1:4], nperm=10) plot(iris.vf, col="blue") } } \keyword{ multivariate } \keyword{ hplot } ecodist/man/vf.Rd0000644000176000001440000000344411316224320013410 0ustar ripleyusers\name{vf} \alias{vf} \title{ Vector fitting } \description{ Fits environmental variables to an ordination configuration. } \usage{ vf(ord, vars, nperm = 100) } \arguments{ \item{ord}{ matrix containing a 2-dimensional ordination result with axes as columns. } \item{vars}{ matrix with ancillary variables as columns. } \item{nperm}{ number of permutation for the significance test. If nperm = 0, the test will be omitted. } } \details{ Vector fitting finds the maximum correlation of the individual variables with a configuration of samples in ordination space. } \value{ an object of class vf containing matrix with the first 2 columns containing the scores for every variable in each of the 2 dimensions of the ordination space. r is the maximum correlation of the variable with the ordination space, and pval is the result of the permutation test. } \references{ Jongman, R.H.G., C.J.F. ter Braak and O.F.R. van Tongeren. 1995. Data analysis in community and landscape ecology. Cambridge University Press, New York. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{plot.vf}} } \examples{ \dontrun{ # Example of multivariate analysis using built-in iris dataset data(iris) iris <- iris[seq(1, 150, by=3),] iris.md <- distance(iris[,1:4], "mahal") # Minimum-stress 2-dimensional nonmetric multidimensional scaling configuration # Uses small number of separate ordinations (5) to increase speed of example. # Use more for final analysis. iris.nmds <- nmds(iris.md, mindim=2, maxdim=2, nits=3) iris.nmin <- nmds.min(iris.nmds) # Plot NMDS result with symbols denoting species plot(iris.nmin, pch=as.numeric(iris[,5])) # Fit vectors for the main variables to the NMDS configuration iris.vf <- vf(iris.nmin, iris[,1:4], nperm=10) plot(iris.vf, col="blue") } } \keyword{ multivariate } ecodist/man/pco.Rd0000644000176000001440000000235111316224320013552 0ustar ripleyusers\name{pco} \alias{pco} \title{ Principal coordinates analysis } \description{ Principal coordinates analysis (classical scaling). } \usage{ pco(x, negvals = "zero", dround = 0) } \arguments{ \item{x}{ a lower-triangular dissimilarity matrix. } \item{negvals}{ if = "zero" sets all negative eigenvalues to zero; if = "rm" corrects for negative eigenvalues using method 1 of Legendre and Anderson 1999. } \item{dround}{ if greater than 0, attempts to correct for round-off error by rounding to that number of places. } } \details{ PCO (classical scaling, metric multidimensional scaling) is very similar to principal components analysis, but allows the use of any dissimilarity metric. } \value{ \item{values }{eigenvalue for each component. This is a measure of the variance explained by each dimension.} \item{vectors }{eigenvectors. Each column contains the scores for that dimension.} } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{princomp}}, \code{\link{nmds}} } \examples{ \dontrun{ data(iris) iris.md <- distance(iris[,1:4], "mahal") iris.pco <- pco(iris.md) # scatterplot of the first two dimensions plot(iris.pco$vectors[,1], iris.pco$vectors[,2], pch=as.numeric(iris[,5])) } } \keyword{ multivariate } ecodist/man/residuals.mgram.Rd0000644000176000001440000000141311316224322016066 0ustar ripleyusers\name{residuals.mgram} \alias{residuals.mgram} \title{ Residuals of a Mantel correlogram } \description{ Extracts residuals from an S3 object of class \code{mgram} (only relevant for objects created by \code{pmgram{}}). } \usage{ \method{residuals}{mgram}(object, ...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{object}{ an object of class \code{mgram} } \item{\dots}{ additional arguments } } \value{ vector of residuals. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{mgram}} } \examples{ \dontrun{ z.pmgram <- pmgram(z.d, space.d, resids=TRUE) residuals(z.pmgram) } # A full example is available in the Mantel correlogram # section of the main help file for \link{ecodist}. } \keyword{ multivariate } ecodist/man/bcdist.Rd0000644000176000001440000000216511316224320014244 0ustar ripleyusers\name{bcdist} \alias{bcdist} \title{ Bray-Curtis distance } \description{ Returns the Bray-Curtis (also known as Sorenson, 1 - percent similarity) pairwise distances for the objects in the data. It has been superseded by distance() but remains for backward compatibility. } \usage{ bcdist(x, rmzero = FALSE) } \arguments{ \item{x}{ matrix or data frame with rows as samples and columns as variables (such as species). Distances will be calculated for each pair of rows. } \item{rmzero}{ If rzero=TRUE, empty rows will be removed from the data before distances are calculated. Otherwise, the distance between two empty rows is assumed to be 0 (the default). } } \value{ This function returns a column-order lower-triangular distance matrix. The returned object has an attribute, Size, giving the number of objects, that is, nrow(x). The length of the vector that is returned is nrow(x)*(nrow(x)-1)/2. } \author{ Sarah Goslee, Sarah.Goslee@ars.usda.gov } \seealso{ \code{\link{dist}} } \examples{ data(iris) iris.bc <- bcdist(iris[,1:4]) # equivalent to iris.bc2 <- distance(iris[,1:4], "bray-curtis") } \keyword{ multivariate }