mitools/0000755000176200001440000000000013460510123011733 5ustar liggesusersmitools/inst/0000755000176200001440000000000013460434105012715 5ustar liggesusersmitools/inst/dta/0000755000176200001440000000000012332563323013467 5ustar liggesusersmitools/inst/dta/smif5.dta0000644000176200001440000002675112242737355015227 0ustar liggesusersn XImputed females data No.5LXG "LX[Gn23 Jul 2002 11:50lbbbbbbbbbidemeswaveommetroparsmkdrkfrealcdosalcdhidsmksmkcistotfmdrkfrere%9.0g%9.0g%10.%9.0g%10.%9.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%9.0g%10.drkfrealcdossmkrearijmisos       wave 1 to wave 6     school in mmetro     either parent smokes     drink frequencyokes     av units/drinking day     alcday>=5 units at least once    none, occasional, daily once    cis total score (0,56) once    missing drkfre (0,56) once    X_dta = _mitemp5.dta"8note6note8note8 IH@copied from smif5.dtaD_dta = _mitemp5.dta"8note6note8note0 IH@8_dta = _mitemp5.dta"8note6note8note7Isaya֊Gtcopied from d:/zoe/Longitu_w1to6/PreImpu_Impu_Check/female/miF5.dtaJ_dta = _mitemp5.dta"8note6note8stratasregion interviews w/o sregionH_dta = _mitemp5.dta"8note6note8pweightwtallnt interviews w/o wtall}_dta = _mitemp5.dta"8note6note8note1"2 parent interviews w/o 2 parent interviews w/o CIDI interviews: id 924017, 932003{_dta = _mitemp5.dta"8note6note8note2"150 parent interviews & 150 parent interviews & CIDI interviews, w/o lina's vars^_dta = _mitemp5.dta"8note6note8note3"2172 ids not in parent d2172 ids not in parent data_dta = _mitemp5.dta"8note6note8note9regular smoking at arrivregular smoking at arrival (smrarrv) does not include later transitions to regular smokingE_dta = _mitemp5.dta"8note6note8ReS_i1idat marij drkfre2 dridF_dta = _mitemp5.dta"8note6note8ReS_ver1v.2at marij drkfre2 drv.2G_dta = _mitemp5.dta"8note6note8ReS_jr1waveat marij drkfre2 drwaveD_dta = _mitemp5.dta"8note6note8ReS_str10kstat marij drkfre2 dr0_dta = _mitemp5.dta"8note6note8ReS_Xij1smkstat marij drkfre2 drsmkstat marij drkfre2 drkfre alcdos2 antisoc cisfre2 sexever pardiv pardeadx_dta = _mitemp5.dta"8note6note8note4Isaya֊Gtmiss* are missing indicators for MI_w1to6_mv_NEW.dta._dta = _mitemp5.dta"8note6note8note5Isaya֊GtMissing x values were fixed in fixAge1to6.do and fixcons1to6.do. See also crw1to6.do.p_dta = _mitemp5.dta"8note6note8note6Isaya֊GtMissing y values were imputed from impuE.src.       "   #                                                                                                                       $  $ $  $  $ $ ) ) !) )  ) ) - - - - - - .  . . .  . .  3 3 3 3 3 3 4 4 4 4 4 4 :  : : : ': : =  = =  = = = > > >  > >  > D  D  D D D D I I I I I I J J J  J  J J O  O O O O O                                              -                 3  3  3 3  3 3  > > > > > > C C C  C C  C K !K K K K K O O O O O O \ \  \ \ \ \ ` ` ` `  ` #`  e e e e e  e i i i i i i j j j  j j j q q q q q  q #w w w w w w                                                       "                                                                                + + + + + + , ,  ,  , , , 5 5 5 5 5 5 8 8 8 8 8 8 = = = = = = @ @ @ @ @ @ M M  M  M M M O O O O O O ] ] ] ] ] ] ^ ^ ^ ^ ^ ^  _ _ _ _ _ _ i i  i i i i  m m m m m m n  n n n n  n { {  { { { { | | &|  | | %|                                            $       ?smknote1"2 parent inxxxnon/ex-smoker<6 days6/7 daysnalcdose1"2 parent inxxxF 0Non drinkernot in last wkav <5units/drink_dayav =>5units/drink_dayddrkfree1"2 parent inxxx< +Non drinkernot in last wk<3 days last wk>=3 days last wkmitools/inst/dta/smif4.dta0000644000176200001440000002675112242737355015226 0ustar liggesusersn XImputed females data No.4LXG "LX[Gn23 Jul 2002 11:50lbbbbbbbbbidemeswaveommetroparsmkdrkfrealcdosalcdhidsmksmkcistotfmdrkfrere%9.0g%9.0g%10.%9.0g%10.%9.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%9.0g%10.drkfrealcdossmkrearijmisos        wave 1 to wave 6      school in mmetro      either parent smokes      drink frequencyokes      av units/drinking day      alcday>=5 units at least once     none, occasional, daily once     cis total score (0,56) once     missing drkfre (0,56) once     X_dta = _mitemp4.dta"8note6note8note8 IH@copied from smif4.dtaD_dta = _mitemp4.dta"8note6note8note0 IH@8_dta = _mitemp4.dta"8note6note8note7Isaya֊Gtcopied from d:/zoe/Longitu_w1to6/PreImpu_Impu_Check/female/miF4.dtaJ_dta = _mitemp4.dta"8note6note8stratasregion interviews w/o sregionH_dta = _mitemp4.dta"8note6note8pweightwtallnt interviews w/o wtall}_dta = _mitemp4.dta"8note6note8note1"2 parent interviews w/o 2 parent interviews w/o CIDI interviews: id 924017, 932003{_dta = _mitemp4.dta"8note6note8note2"150 parent interviews & 150 parent interviews & CIDI interviews, w/o lina's vars^_dta = _mitemp4.dta"8note6note8note3"2172 ids not in parent d2172 ids not in parent data_dta = _mitemp4.dta"8note6note8note9regular smoking at arrivregular smoking at arrival (smrarrv) does not include later transitions to regular smokingE_dta = _mitemp4.dta"8note6note8ReS_i1idat marij drkfre2 dridF_dta = _mitemp4.dta"8note6note8ReS_ver1v.2at marij drkfre2 drv.2G_dta = _mitemp4.dta"8note6note8ReS_jr1waveat marij drkfre2 drwaveD_dta = _mitemp4.dta"8note6note8ReS_str10kstat marij drkfre2 dr0_dta = _mitemp4.dta"8note6note8ReS_Xij1smkstat marij drkfre2 drsmkstat marij drkfre2 drkfre alcdos2 antisoc cisfre2 sexever pardiv pardeadx_dta = _mitemp4.dta"8note6note8note4Isaya֊Gtmiss* are missing indicators for MI_w1to6_mv_NEW.dta._dta = _mitemp4.dta"8note6note8note5Isaya֊GtMissing x values were fixed in fixAge1to6.do and fixcons1to6.do. See also crw1to6.do.p_dta = _mitemp4.dta"8note6note8note6Isaya֊GtMissing y values were imputed from impuD.src.        "   #                                                                                                                         $  $ $  $  $ $ ) ) !) )  ) ) - - - - - - .  . . .  . .  3 3 3  3 3 3 4 4 4 4 4 4 :  : : : : : =  = =  = = = > > >  > >  > D  D  D D D D I I I I I I J J J  J  J J O  O O O O O                                                               3  3  3 3  3 3  > > > > > > C C C  C C  C K !K K K K K O O O O O O \ \  \ \ \ \ ` ` ` ` `  ` e e e e e  e i i i i i i j j j  j j j q q q q q  q #w w w w w w      (                                                 "                                                                              + + + + + + , ,  ,  , , , 5 5 5 5 5 5 8 8 8 8 8 8 = = = = = = @ @ @ @ @ @ M M  M  M M M O O O O O O ] ] ] ] ] ] ^ ^ ^ ^ ^ ^  _ _ _ _ _ _ i i  i i i i  m m m m m m n  n n n n  n { {  { { { { | | &|  |  | %|                                             $      ?smknote1"2 parent inxxxnon/ex-smoker<6 days6/7 daysnalcdose1"2 parent inxxxF 0Non drinkernot in last wkav <5units/drink_dayav =>5units/drink_dayddrkfree1"2 parent inxxx< +Non drinkernot in last wk<3 days last wk>=3 days last wkmitools/inst/dta/smim5.dta0000644000176200001440000002614112242737355015227 0ustar liggesusersn :Imputed males data No.5LXG "LX[Gn23 Jul 2002 11:50lbbbbbbbbbidemeswaveommetroredparsmkmkdrkfremkalcdosalcdhidsmksmkcistotfmdrkfrere%9.0g%9.0g%10.%9.0g%10.%9.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%9.0g%10.drkfrealcdossmkrearijmisos       wave 1 to wave 6     school in mmetro     either parent smokes     drink frequencyokes     av units/drinking day     alcday>=5 units at least once    none, occasional, daily once    cis total score (0,56) once    missing drkfre (0,56) once    X_dta = _mitemp5.dta"8note6note8note8 IH@copied from smim5.dtaD_dta = _mitemp5.dta"8note6note8note0 IH@8_dta = _mitemp5.dta"8note6note8note7Isaya֊Gtcopied from d:/zoe/Longitu_w1to6/PreImpu_Impu_Check/male/miM5.dtaJ_dta = _mitemp5.dta"8note6note8stratasregion interviews w/o sregionH_dta = _mitemp5.dta"8note6note8pweightwtallnt interviews w/o wtall}_dta = _mitemp5.dta"8note6note8note1"2 parent interviews w/o 2 parent interviews w/o CIDI interviews: id 924017, 932003{_dta = _mitemp5.dta"8note6note8note2"150 parent interviews & 150 parent interviews & CIDI interviews, w/o lina's vars^_dta = _mitemp5.dta"8note6note8note3"2172 ids not in parent d2172 ids not in parent data_dta = _mitemp5.dta"8note6note8note9regular smoking at arrivregular smoking at arrival (smrarrv) does not include later transitions to regular smokingE_dta = _mitemp5.dta"8note6note8ReS_i1idat marij drkfre2 dridF_dta = _mitemp5.dta"8note6note8ReS_ver1v.2at marij drkfre2 drv.2G_dta = _mitemp5.dta"8note6note8ReS_jr1waveat marij drkfre2 drwaveD_dta = _mitemp5.dta"8note6note8ReS_str10kstat marij drkfre2 dr0_dta = _mitemp5.dta"8note6note8ReS_Xij1smkstat marij drkfre2 drsmkstat marij drkfre2 drkfre alcdos2 antisoc cisfre2 sexever pardiv pardeadx_dta = _mitemp5.dta"8note6note8note4Isaya֊Gtmiss* are missing indicators for MI_w1to6_mv_NEW.dta._dta = _mitemp5.dta"8note6note8note5Isaya֊GtMissing x values were fixed in fixAge1to6.do and fixcons1to6.do. See also crw1to6.do.p_dta = _mitemp5.dta"8note6note8note6Isaya֊GtMissing y values were imputed from impuE.src.                                                                                 # # # # # # ( ( ( ( ( ( 9 9 9  9 9 9 C C C C C  C P P P P P P T T T T T T V V  V V V V Y  Y Y Y Y Y \ \ \ \ \ \ _ _ _ _ _ _ b  b b b b b e e e e e e h h h  h  h  h k k k k k k m m m m m m p p p p p p s s s s s s v v v v v v z z z z z z } } } } } }              % )                                                                                                                                                                                                                                                        " & $   " " " " " " %  % % %  % % ( ( (  ( ( ( * * * * * * / / / / / / 4 4 4 4 4 4 9 9 9 9 9 9 ? ?  ? ? ? ? G G G G G  G M  M M M M M P P P P P P X X X X X X  a a a  a a  a f f f f f f m m m m m m r  r r r r r t t  t t t t v v v v v v z z z z z z ?smknote1"2 parent inxxxnon/ex-smoker<6 days6/7 daysnalcdose1"2 parent inxxxF 0Non drinkernot in last wkav <5units/drink_dayav =>5units/drink_dayddrkfree1"2 parent inxxx< +Non drinkernot in last wk<3 days last wk>=3 days last wkmitools/inst/dta/smim2.dta0000644000176200001440000002614112242737355015224 0ustar liggesusersn :Imputed males data No.2LXG "LX[Gn23 Jul 2002 11:50lbbbbbbbbbidemeswaveommetroredparsmkmkdrkfremkalcdosalcdhidsmksmkcistotfmdrkfrere%9.0g%9.0g%10.%9.0g%10.%9.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%9.0g%10.drkfrealcdossmkrearijmisos       wave 1 to wave 6     school in mmetro     either parent smokes     drink frequencyokes     av units/drinking day     alcday>=5 units at least once    none, occasional, daily once    cis total score (0,56) once    missing drkfre (0,56) once    X_dta = _mitemp2.dta"8note6note8note8 IH@copied from smim2.dtaD_dta = _mitemp2.dta"8note6note8note0 IH@8_dta = _mitemp2.dta"8note6note8note7Isaya֊Gtcopied from d:/zoe/Longitu_w1to6/PreImpu_Impu_Check/male/miM2.dtaJ_dta = _mitemp2.dta"8note6note8stratasregion interviews w/o sregionH_dta = _mitemp2.dta"8note6note8pweightwtallnt interviews w/o wtall}_dta = _mitemp2.dta"8note6note8note1"2 parent interviews w/o 2 parent interviews w/o CIDI interviews: id 924017, 932003{_dta = _mitemp2.dta"8note6note8note2"150 parent interviews & 150 parent interviews & CIDI interviews, w/o lina's vars^_dta = _mitemp2.dta"8note6note8note3"2172 ids not in parent d2172 ids not in parent data_dta = _mitemp2.dta"8note6note8note9regular smoking at arrivregular smoking at arrival (smrarrv) does not include later transitions to regular smokingE_dta = _mitemp2.dta"8note6note8ReS_i1idat marij drkfre2 dridF_dta = _mitemp2.dta"8note6note8ReS_ver1v.2at marij drkfre2 drv.2G_dta = _mitemp2.dta"8note6note8ReS_jr1waveat marij drkfre2 drwaveD_dta = _mitemp2.dta"8note6note8ReS_str10kstat marij drkfre2 dr0_dta = _mitemp2.dta"8note6note8ReS_Xij1smkstat marij drkfre2 drsmkstat marij drkfre2 drkfre alcdos2 antisoc cisfre2 sexever pardiv pardeadx_dta = _mitemp2.dta"8note6note8note4Isaya֊Gtmiss* are missing indicators for MI_w1to6_mv_NEW.dta._dta = _mitemp2.dta"8note6note8note5Isaya֊GtMissing x values were fixed in fixAge1to6.do and fixcons1to6.do. See also crw1to6.do.p_dta = _mitemp2.dta"8note6note8note6Isaya֊GtMissing y values were imputed from impuB.src.                                                                                # # # # # # ( ( ( ( ( ( 9 9 9  9 9 9 C C C C  C C P P P P P P T T T T T T V V  V V V V Y  Y Y Y Y Y \ \ \ \ \ \ _ _ _ _ _ _ b  b b b b b e e e e e e h h h  h  h  h k k k k k k m m m m m m p p p p p p s s s s s s v v v v v v z z z z z z } } } } } }              % )                                                                                                                                                                                                                                                      " & $   " " " " " " %  % % %  % % ( ( (  ( ( ( * * * * * * / / / /  / / 4 4 4 4 4 4 9 9 9  9 9 9 ? ?  ? ? ? ? G G G G G  G M  M M M M M P P P P P P X X X X X X a a a  a a  a f f f f f f m m m m m m r  r r r r r t t  t t t t v v v  v v v z z z z z z ?smknote1"2 parent inxxxnon/ex-smoker<6 days6/7 daysnalcdose1"2 parent inxxxF 0Non drinkernot in last wkav <5units/drink_dayav =>5units/drink_dayddrkfree1"2 parent inxxx< +Non drinkernot in last wk<3 days last wk>=3 days last wkmitools/inst/dta/smim4.dta0000644000176200001440000002614112242737355015226 0ustar liggesusersn :Imputed males data No.4LXG "LX[Gn23 Jul 2002 11:50lbbbbbbbbbidemeswaveommetroredparsmkmkdrkfremkalcdosalcdhidsmksmkcistotfmdrkfrere%9.0g%9.0g%10.%9.0g%10.%9.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%9.0g%10.drkfrealcdossmkrearijmisos       wave 1 to wave 6     school in mmetro     either parent smokes     drink frequencyokes     av units/drinking day     alcday>=5 units at least once    none, occasional, daily once    cis total score (0,56) once    missing drkfre (0,56) once    X_dta = _mitemp4.dta"8note6note8note8 IH@copied from smim4.dtaD_dta = _mitemp4.dta"8note6note8note0 IH@8_dta = _mitemp4.dta"8note6note8note7Isaya֊Gtcopied from d:/zoe/Longitu_w1to6/PreImpu_Impu_Check/male/miM4.dtaJ_dta = _mitemp4.dta"8note6note8stratasregion interviews w/o sregionH_dta = _mitemp4.dta"8note6note8pweightwtallnt interviews w/o wtall}_dta = _mitemp4.dta"8note6note8note1"2 parent interviews w/o 2 parent interviews w/o CIDI interviews: id 924017, 932003{_dta = _mitemp4.dta"8note6note8note2"150 parent interviews & 150 parent interviews & CIDI interviews, w/o lina's vars^_dta = _mitemp4.dta"8note6note8note3"2172 ids not in parent d2172 ids not in parent data_dta = _mitemp4.dta"8note6note8note9regular smoking at arrivregular smoking at arrival (smrarrv) does not include later transitions to regular smokingE_dta = _mitemp4.dta"8note6note8ReS_i1idat marij drkfre2 dridF_dta = _mitemp4.dta"8note6note8ReS_ver1v.2at marij drkfre2 drv.2G_dta = _mitemp4.dta"8note6note8ReS_jr1waveat marij drkfre2 drwaveD_dta = _mitemp4.dta"8note6note8ReS_str10kstat marij drkfre2 dr0_dta = _mitemp4.dta"8note6note8ReS_Xij1smkstat marij drkfre2 drsmkstat marij drkfre2 drkfre alcdos2 antisoc cisfre2 sexever pardiv pardeadx_dta = _mitemp4.dta"8note6note8note4Isaya֊Gtmiss* are missing indicators for MI_w1to6_mv_NEW.dta._dta = _mitemp4.dta"8note6note8note5Isaya֊GtMissing x values were fixed in fixAge1to6.do and fixcons1to6.do. See also crw1to6.do.p_dta = _mitemp4.dta"8note6note8note6Isaya֊GtMissing y values were imputed from impuD.src.                                                                              # # # # # # ( ( ( ( ( ( 9 9 9  9 9 9 C C C C C C P P P P P P T T T T T T V V  V V V V Y  Y Y Y Y Y \ \ \ \ \ \ _ _ _ _ _ _ b  b b b b b e e e e e e h h h  h  h  h k k k k k k m m m m m m p p p p p p s s s s s s v v v v v v z z z z z z } } } } } }              % )                                                                  8 8 8  8                                                                                                                          6                                                       " & $   " " " " " " %  % % %  % % ( ( (  ( ( ( * * * * * * / / / / / / 4 4 4 4 4 4 9 9 9 9 9 9 ? ?  ? ? ? ? G G G G G  G M  M M M M M P P P P P P X X X X X X a a a  a a  a f f f f f f m m m m m m r  r r r r r t t  t t t t v v v v v v z z z z z z ?smknote1"2 parent inxxxnon/ex-smoker<6 days6/7 daysnalcdose1"2 parent inxxxF 0Non drinkernot in last wkav <5units/drink_dayav =>5units/drink_dayddrkfree1"2 parent inxxx< +Non drinkernot in last wk<3 days last wk>=3 days last wkmitools/inst/dta/smif2.dta0000644000176200001440000002675112242737355015224 0ustar liggesusersn XImputed females data No.2LXG "LX[Gn23 Jul 2002 11:50lbbbbbbbbbidemeswaveommetroparsmkdrkfrealcdosalcdhidsmksmkcistotfmdrkfrere%9.0g%9.0g%10.%9.0g%10.%9.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%9.0g%10.drkfrealcdossmkrearijmisos       wave 1 to wave 6     school in mmetro     either parent smokes     drink frequencyokes     av units/drinking day     alcday>=5 units at least once    none, occasional, daily once    cis total score (0,56) once    missing drkfre (0,56) once    X_dta = _mitemp2.dta"8note6note8note8 IH@copied from smif2.dtaD_dta = _mitemp2.dta"8note6note8note0 IH@8_dta = _mitemp2.dta"8note6note8note7Isaya֊Gtcopied from d:/zoe/Longitu_w1to6/PreImpu_Impu_Check/female/miF2.dtaJ_dta = _mitemp2.dta"8note6note8stratasregion interviews w/o sregionH_dta = _mitemp2.dta"8note6note8pweightwtallnt interviews w/o wtall}_dta = _mitemp2.dta"8note6note8note1"2 parent interviews w/o 2 parent interviews w/o CIDI interviews: id 924017, 932003{_dta = _mitemp2.dta"8note6note8note2"150 parent interviews & 150 parent interviews & CIDI interviews, w/o lina's vars^_dta = _mitemp2.dta"8note6note8note3"2172 ids not in parent d2172 ids not in parent data_dta = _mitemp2.dta"8note6note8note9regular smoking at arrivregular smoking at arrival (smrarrv) does not include later transitions to regular smokingE_dta = _mitemp2.dta"8note6note8ReS_i1idat marij drkfre2 dridF_dta = _mitemp2.dta"8note6note8ReS_ver1v.2at marij drkfre2 drv.2G_dta = _mitemp2.dta"8note6note8ReS_jr1waveat marij drkfre2 drwaveD_dta = _mitemp2.dta"8note6note8ReS_str10kstat marij drkfre2 dr0_dta = _mitemp2.dta"8note6note8ReS_Xij1smkstat marij drkfre2 drsmkstat marij drkfre2 drkfre alcdos2 antisoc cisfre2 sexever pardiv pardeadx_dta = _mitemp2.dta"8note6note8note4Isaya֊Gtmiss* are missing indicators for MI_w1to6_mv_NEW.dta._dta = _mitemp2.dta"8note6note8note5Isaya֊GtMissing x values were fixed in fixAge1to6.do and fixcons1to6.do. See also crw1to6.do.p_dta = _mitemp2.dta"8note6note8note6Isaya֊GtMissing y values were imputed from impuB.src.       "   #                                                                                                                        $  $ $  $  $ $ ) ) !) )  ) ) - - - - - - .  . . .  . .  3 3 3 3 3 3 4 4 4 4 4 4 :  :  : : :  :  =  = =  = = = > > >  > >  > D  D  D D D D I I I I I I J J J  J  J J O  O O O O O                                              '                3  3  3 3  3 3  > > > > > > C C C  C C  C K !K K K K K O O O O O O \ \  \ \ \ \ ` ` 8` ` ` `  e e e e e  e i i i i i i j j j  j j j q q q q q  q #w w w w w w      (                                                  "                                                                                + + + + + + , ,  ,  , , , 5 5 5 5 5 5 8 8 8 8 8 8 = = = = = = @ @ @ @ @ @ M M  M  M M M O O O O O O ] ] ] ] ] ] ^ ^ ^ ^ ^ ^  _ _ _ _ _ _ i i  i i i i  m m m m m m n  n n n n  n { {  { { { { | | &|  | | %|                                            $   8  ?smknote1"2 parent inxxxnon/ex-smoker<6 days6/7 daysnalcdose1"2 parent inxxxF 0Non drinkernot in last wkav <5units/drink_dayav =>5units/drink_dayddrkfree1"2 parent inxxx< +Non drinkernot in last wk<3 days last wk>=3 days last wkmitools/inst/dta/smif1.dta0000644000176200001440000002675712242737355015231 0ustar liggesusersn XImputed females data No.1LXG "LX[Gn23 Jul 2002 11:50lbbbbbbbbbidemeswaveommetroparsmkdrkfrealcdosalcdhidsmksmkcistotfmdrkfrere%9.0g%9.0g%10.%9.0g%10.%9.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%9.0g%10.drkfrealcdossmkrearijmisos       wave 1 to wave 6     school in mmetro     either parent smokes     drink frequencyokes     av units/drinking day     alcday>=5 units at least once    none, occasional, daily once    cis total score (0,56) once    missing drkfre (0,56) once    X_dta = _mitemp1.dta"8note6note8note8 IH@copied from smif1.dtaD_dta = _mitemp1.dta"8note6note8note0 IH@8_dta = _mitemp1.dta"8note6note8note7Isaya֊Gtcopied from d:/zoe/Longitu_w1to6/PreImpu_Impu_Check/female/miF1.dtaJ_dta = _mitemp1.dta"8note6note8stratasregion interviews w/o sregionH_dta = _mitemp1.dta"8note6note8pweightwtallnt interviews w/o wtall}_dta = _mitemp1.dta"8note6note8note1"2 parent interviews w/o 2 parent interviews w/o CIDI interviews: id 924017, 932003{_dta = _mitemp1.dta"8note6note8note2"150 parent interviews & 150 parent interviews & CIDI interviews, w/o lina's vars^_dta = _mitemp1.dta"8note6note8note3"2172 ids not in parent d2172 ids not in parent data_dta = _mitemp1.dta"8note6note8note9regular smoking at arrivregular smoking at arrival (smrarrv) does not include later transitions to regular smokingE_dta = _mitemp1.dta"8note6note8ReS_i1idat marij drkfre2 dridF_dta = _mitemp1.dta"8note6note8ReS_ver1v.2at marij drkfre2 drv.2G_dta = _mitemp1.dta"8note6note8ReS_jr1waveat marij drkfre2 drwaveD_dta = _mitemp1.dta"8note6note8ReS_str10kstat marij drkfre2 dr0_dta = _mitemp1.dta"8note6note8ReS_Xij1smkstat marij drkfre2 drsmkstat marij drkfre2 drkfre alcdos2 antisoc cisfre2 sexever pardiv pardeadx_dta = _mitemp1.dta"8note6note8note4Isaya֊Gtmiss* are missing indicators for MI_w1to6_mv_NEW.dta._dta = _mitemp1.dta"8note6note8note5Isaya֊GtMissing x values were fixed in fixAge1to6.do, fixcons1to6.do and crw1to6.do._dta = _mitemp1.dta"8note6note8note6Isaya֊GtMissing y values were imputed from impuA.src in impuA2J.bat.       "   #                                                                                                                       $  $ $  $  $ $ ) ) !) )  ) ) - - - - - - .  . . .  . .  3 3 3 3 3 3 4 4 4 4 4 4 :  : : :  : : =  = =  = = = > > >  > >  > D  D  D D D D I I I I I I J J J  J  J J O  O O O O O                                              8     #            3  3  3 3  3 '3  > > > > > > C C C  C C  C K !K K K K K O O O O O O \ \  \ \ \ \ ` ` ` ` ` ` e e e e e  e i i i i i i j j j  j j j q q q q q  q #w w w w w w                                                        "                                                                              + + + + + + , ,  ,  , , , 5 5 5 5 5 5 8 8 8 8 8 8 = = = = = = @ @ @ @ @ @ M M  M  M M M O O O O O O ] ] ] ] ] ] ^ ^ ^ ^ ^ ^  _ _ _ _ _ _ i i  i i i i  m m m m m m n  n n n n  n { {  { { { { | | &| 8|  | %| 8            (                               $      ?smk<xxxnon/ex-smoker<6 days6/7 daysnalcdos<xxxF 0Non drinkernot in last wkav <5units/drink_dayav =>5units/drink_dayddrkfre<xxx< +Non drinkernot in last wk<3 days last wk>=3 days last wkmitools/inst/dta/smim3.dta0000644000176200001440000002614112242737355015225 0ustar liggesusersn :Imputed males data No.3LXG "LX[Gn23 Jul 2002 11:50lbbbbbbbbbidemeswaveommetroredparsmkmkdrkfremkalcdosalcdhidsmksmkcistotfmdrkfrere%9.0g%9.0g%10.%9.0g%10.%9.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%9.0g%10.drkfrealcdossmkrearijmisos       wave 1 to wave 6     school in mmetro     either parent smokes     drink frequencyokes     av units/drinking day     alcday>=5 units at least once    none, occasional, daily once    cis total score (0,56) once    missing drkfre (0,56) once    X_dta = _mitemp3.dta"8note6note8note8 IH@copied from smim3.dtaD_dta = _mitemp3.dta"8note6note8note0 IH@8_dta = _mitemp3.dta"8note6note8note7Isaya֊Gtcopied from d:/zoe/Longitu_w1to6/PreImpu_Impu_Check/male/miM3.dtaJ_dta = _mitemp3.dta"8note6note8stratasregion interviews w/o sregionH_dta = _mitemp3.dta"8note6note8pweightwtallnt interviews w/o wtall}_dta = _mitemp3.dta"8note6note8note1"2 parent interviews w/o 2 parent interviews w/o CIDI interviews: id 924017, 932003{_dta = _mitemp3.dta"8note6note8note2"150 parent interviews & 150 parent interviews & CIDI interviews, w/o lina's vars^_dta = _mitemp3.dta"8note6note8note3"2172 ids not in parent d2172 ids not in parent data_dta = _mitemp3.dta"8note6note8note9regular smoking at arrivregular smoking at arrival (smrarrv) does not include later transitions to regular smokingE_dta = _mitemp3.dta"8note6note8ReS_i1idat marij drkfre2 dridF_dta = _mitemp3.dta"8note6note8ReS_ver1v.2at marij drkfre2 drv.2G_dta = _mitemp3.dta"8note6note8ReS_jr1waveat marij drkfre2 drwaveD_dta = _mitemp3.dta"8note6note8ReS_str10kstat marij drkfre2 dr0_dta = _mitemp3.dta"8note6note8ReS_Xij1smkstat marij drkfre2 drsmkstat marij drkfre2 drkfre alcdos2 antisoc cisfre2 sexever pardiv pardeadx_dta = _mitemp3.dta"8note6note8note4Isaya֊Gtmiss* are missing indicators for MI_w1to6_mv_NEW.dta._dta = _mitemp3.dta"8note6note8note5Isaya֊GtMissing x values were fixed in fixAge1to6.do and fixcons1to6.do. See also crw1to6.do.p_dta = _mitemp3.dta"8note6note8note6Isaya֊GtMissing y values were imputed from impuC.src.                                                                                # # # # # # ( (  ( ( ( ( 9 9 9  9 9 9 C C C C  C C P P P P P P T T T T T T V V  V V V V Y  Y Y Y Y Y \ \ \ \ \ \ _ _ _ _ _ _ b  b b b b b e e e e e e h h h  h  h  h k k k k k k m m m m m m p p p p p p s s s s s s v v v v v v z z z z z z } } } } } }              % )     3                                                                                                                                                                                                                                                  " & $   " " " " " " %  % % %  % % ( ( (  ( ( ( * * * * * * / / / / / / 4 4 4 4 4 4 9 9 9 9 9 9 ? ?  ? ? ? ? G G G G G  G M  M M M M M P P P P P P X X X X X X a a a  a a  a f f f f f f m m m m m m r  r r r r r t t  t t t t v v v v v v  z z z z z z ?smknote1"2 parent inxxxnon/ex-smoker<6 days6/7 daysnalcdose1"2 parent inxxxF 0Non drinkernot in last wkav <5units/drink_dayav =>5units/drink_dayddrkfree1"2 parent inxxx< +Non drinkernot in last wk<3 days last wk>=3 days last wkmitools/inst/dta/smim1.dta0000644000176200001440000002614712242737355015231 0ustar liggesusersn :Imputed males data No.1LXG "LX[Gn23 Jul 2002 11:50lbbbbbbbbbidemeswaveommetroredparsmkmkdrkfremkalcdosalcdhidsmksmkcistotfmdrkfrere%9.0g%9.0g%10.%9.0g%10.%9.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%9.0g%10.drkfrealcdossmkrearijmisos       wave 1 to wave 6     school in mmetro     either parent smokes     drink frequencyokes     av units/drinking day     alcday>=5 units at least once    none, occasional, daily once    cis total score (0,56) once    missing drkfre (0,56) once    X_dta = _mitemp1.dta"8note6note8note8 IH@copied from smim1.dtaD_dta = _mitemp1.dta"8note6note8note0 IH@8_dta = _mitemp1.dta"8note6note8note7Isaya֊Gtcopied from d:/zoe/Longitu_w1to6/PreImpu_Impu_Check/male/miM1.dtaJ_dta = _mitemp1.dta"8note6note8stratasregion interviews w/o sregionH_dta = _mitemp1.dta"8note6note8pweightwtallnt interviews w/o wtall}_dta = _mitemp1.dta"8note6note8note1"2 parent interviews w/o 2 parent interviews w/o CIDI interviews: id 924017, 932003{_dta = _mitemp1.dta"8note6note8note2"150 parent interviews & 150 parent interviews & CIDI interviews, w/o lina's vars^_dta = _mitemp1.dta"8note6note8note3"2172 ids not in parent d2172 ids not in parent data_dta = _mitemp1.dta"8note6note8note9regular smoking at arrivregular smoking at arrival (smrarrv) does not include later transitions to regular smokingE_dta = _mitemp1.dta"8note6note8ReS_i1idat marij drkfre2 dridF_dta = _mitemp1.dta"8note6note8ReS_ver1v.2at marij drkfre2 drv.2G_dta = _mitemp1.dta"8note6note8ReS_jr1waveat marij drkfre2 drwaveD_dta = _mitemp1.dta"8note6note8ReS_str10kstat marij drkfre2 dr0_dta = _mitemp1.dta"8note6note8ReS_Xij1smkstat marij drkfre2 drsmkstat marij drkfre2 drkfre alcdos2 antisoc cisfre2 sexever pardiv pardeadx_dta = _mitemp1.dta"8note6note8note4Isaya֊Gtmiss* are missing indicators for MI_w1to6_mv_NEW.dta._dta = _mitemp1.dta"8note6note8note5Isaya֊GtMissing x values were fixed in fixAge1to6.do, fixcons1to6.do and crw1to6.do._dta = _mitemp1.dta"8note6note8note6Isaya֊GtMissing y values were imputed from impuA.src in impuA2J.bat.                                                                               # # # # # # ( ( 8( ( ( ( 9 9 9  9 9 9 C C C C C C P P P P P P T T T T T T V V  V V V V Y  Y Y Y  Y Y \ \ \ \ \ \ _ _ _ _ _ _ b  b b b b b e e e e e e h h h  h  h  h k k k k k k m m m m m m p p p p p p s s s s s s v v v v v v z z z z z z } } } } } }              % )                                                                                                                                                                                                                                                         " & $   " " " " " " %  % % %  % % ( ( (  ( ( ( * * * * * * / / / /  / / 4 4 4 4 4 4 9 9 9 9 9 9 ? ?  ? ? ? ? G G G G G  G M  M M M M M P P P P P P X X X X X X a a a  a a  a f f f f f f m m m m m m r  r r r r r t t  t t t t v v v v v v z z z z z z ?smk<xxxnon/ex-smoker<6 days6/7 daysnalcdos<xxxF 0Non drinkernot in last wkav <5units/drink_dayav =>5units/drink_dayddrkfre<xxx< +Non drinkernot in last wk<3 days last wk>=3 days last wkmitools/inst/dta/smif3.dta0000644000176200001440000002675112242737355015225 0ustar liggesusersn XImputed females data No.3LXG "LX[Gn23 Jul 2002 11:50lbbbbbbbbbidemeswaveommetroparsmkdrkfrealcdosalcdhidsmksmkcistotfmdrkfrere%9.0g%9.0g%10.%9.0g%10.%9.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%6.0g%10.%9.0g%10.drkfrealcdossmkrearijmisos        wave 1 to wave 6      school in mmetro      either parent smokes      drink frequencyokes      av units/drinking day      alcday>=5 units at least once     none, occasional, daily once     cis total score (0,56) once     missing drkfre (0,56) once     X_dta = _mitemp3.dta"8note6note8note8 IH@copied from smif3.dtaD_dta = _mitemp3.dta"8note6note8note0 IH@8_dta = _mitemp3.dta"8note6note8note7Isaya֊Gtcopied from d:/zoe/Longitu_w1to6/PreImpu_Impu_Check/female/miF3.dtaJ_dta = _mitemp3.dta"8note6note8stratasregion interviews w/o sregionH_dta = _mitemp3.dta"8note6note8pweightwtallnt interviews w/o wtall}_dta = _mitemp3.dta"8note6note8note1"2 parent interviews w/o 2 parent interviews w/o CIDI interviews: id 924017, 932003{_dta = _mitemp3.dta"8note6note8note2"150 parent interviews & 150 parent interviews & CIDI interviews, w/o lina's vars^_dta = _mitemp3.dta"8note6note8note3"2172 ids not in parent d2172 ids not in parent data_dta = _mitemp3.dta"8note6note8note9regular smoking at arrivregular smoking at arrival (smrarrv) does not include later transitions to regular smokingE_dta = _mitemp3.dta"8note6note8ReS_i1idat marij drkfre2 dridF_dta = _mitemp3.dta"8note6note8ReS_ver1v.2at marij drkfre2 drv.2G_dta = _mitemp3.dta"8note6note8ReS_jr1waveat marij drkfre2 drwaveD_dta = _mitemp3.dta"8note6note8ReS_str10kstat marij drkfre2 dr0_dta = _mitemp3.dta"8note6note8ReS_Xij1smkstat marij drkfre2 drsmkstat marij drkfre2 drkfre alcdos2 antisoc cisfre2 sexever pardiv pardeadx_dta = _mitemp3.dta"8note6note8note4Isaya֊Gtmiss* are missing indicators for MI_w1to6_mv_NEW.dta._dta = _mitemp3.dta"8note6note8note5Isaya֊GtMissing x values were fixed in fixAge1to6.do and fixcons1to6.do. See also crw1to6.do.p_dta = _mitemp3.dta"8note6note8note6Isaya֊GtMissing y values were imputed from impuC.src.        "   #                                                                                                                         $  $ $  $  $ $ ) ) !) )  ) ) - - - - - - .  . . .  . .  3 3 3 3 3 3 4 4 4 4 4 4 :  : : : : : =  = =  = = = > > >  > >  > D  D  D D D D I I I I I I J J J  J  J J O  O O O O O                                                               3  3  3 3  3 $3  > > > > > > C C C  C C  C K !K K K K K O O O O O O \ \  \ \ \ \ ` ` ` ` ` ` e e e e e  e i i i i i i j j j  j j j q q q q q  q #w w w w w w                                                        "                ' ' 8                                                           + + + + + + , ,  ,  , , , 5 5 5 5 5 5 8 8 8 8 8 8 = = = = = = @ @ @ @ @ @ M M  M  M M M O O O O O O ] ] ] ] ] ] ^ ^ ^ ^ ^ ^  _ _ _ _ _ _ i i  i i i i  m m m m m m n  n n n n  n { {  { { { { | | &| | 7| %|                                              $       ?smknote1"2 parent inxxxnon/ex-smoker<6 days6/7 daysnalcdose1"2 parent inxxxF 0Non drinkernot in last wkav <5units/drink_dayav =>5units/drink_dayddrkfree1"2 parent inxxx< +Non drinkernot in last wk<3 days last wk>=3 days last wkmitools/inst/doc/0000755000176200001440000000000013460434105013462 5ustar liggesusersmitools/inst/doc/smi.pdf0000644000176200001440000023016113460434105014750 0ustar liggesusers%PDF-1.5 % 3 0 obj << /Length 1207 /Filter /FlateDecode >> stream xXKs6Wp 9Lۙ:9%@dyDڎ}w T(9x.v*"}jn~ %qeOZ4%j1p*tIuYOć2n|5ׇ,n\jh8w{Zzްqqs ;aH\]Dᖌuq89s oiy$0 H$p;4hHn9ZVOAkZt񅵚5h{,sv+Sx9rAYmFV"{FJP@*p 1 $wo1X?sDBxuAشvp$ R1]5#k-'G'!D\_wGfPGD?ՠUzi8>)u q ;XaU5ESnXhjTh(@7+I$Ju kEzq 9&8k įR6K8˯٫K6}.2`"߰o,RDz"o{`La"̈́+%;n߹k'֟WC*u?'ڲ}p=OCtv9, %ʣ1}f_6qJk?2 >C{5%oU^Ѻ5oib}4 Re(??T9$<l5TNJzgq.'|?9I=ys}n] 1; 'F-M_^dyFO=aN;RN.na3 ^{#;` gD3Ow=6?tp8md/~0>O xLG5ϼ+C%<Խ[ endstream endobj 13 0 obj << /Length 721 /Filter /FlateDecode >> stream xVKS0+<>)3XdI;-vڙvrM%94{Ȼo%i|deNw [8k6e2+cķQf57.bbS.-:&IdHc~F%,y:9|,-jPxeyO$;*6 q  `\*LUowi0yN*cCA\M8KQVW ?a<չ"]tTK>L֘Ʇ׸sl{) M+=D [%"|k*"6tXKuPvP+}NzoQff%m ),C4yDס}/sfxu#%gyh2ULee9M)9[va{g;6;뾮-;ud>.} ͂6 eTq ar(g6c@ּPWH^ebtlȇ>BfdB;M{681x-u5,)eڃeNRhD<+K+CuT Xn7':ݣ3RSQ#ԩԹu[Jjco}:*uձ["q̉7:~{ۭ+)pf-uq쉺?*% w;2>$N endstream endobj 16 0 obj << /Length 576 /Filter /FlateDecode >> stream xUMo0 Wa6P&-2؀0y,ɊdeK(:E>Q\tu+:F+ETy%hbt .I-"@ 됾@VIZE>ʢ(hCa* *TXF):J xKixyErqGrG ځSh~_1Hj@{z]-F3Z$۵4pMH$(;=.`4O!CǏ7$xdj=,@O gHD`"#< ^_i7-1ऋq4Hi'm= JPɕ9'j2/ endstream endobj 19 0 obj << /Length 1248 /Filter /FlateDecode >> stream xXK6CRA7] r3CӃ-ˉ[{wakyQ9FݠHSpӫ7N'ƨ{L2%wʺ2.S=Ɍw&uĤ5|h[15Ifr`#y Հ$.ȌUN2[6ծnQ{ ^4a{+*B‹kyN8 _"C tO~@[{ Xm*&0O2\ڠ;c q൏81xrMD&E+AaWw+sh+g8q'[lќa@ɲ=vmD(UTp)+ в C)pwӗl@2^Hx'mns!dywP-vc}IfIs،d_E0JоDK!ۈoh7Whqb0cH'ԣ̡6=]<4YF<p(G:!xy\ܻ{I^ZpY/viʴ2Ml.#Eg {眏9M&OTEˣ~p졤0 >VBT [HxR+FQMZ ]PJ dx(<^-x;\*KpgG?א$̵ڋtIRTEPM| |q3N\#CZ2B^fܹ;mjӬ722Ҟl4'P=[be#d+FTr~D'gJY,k A _j 0&\;;z QdrW r^ | BpLiKNBv(R nF;tRQ;4zdMdO)y*@5cgOl{:8(X"qD$FL7%CG[fHVT+ӿD0ygEC|ˎ$`-dHͪ(Z%\i@;kC;nSv};m%7;!d@1h zS@{eL"pƽ§m@8Ͷ"^Fϙܟ\3\n=u ]l(SYYQ5&3b9vqƒ|*]xsI UUxKb߀/oA}( ^'˝୳!F/S\C.Q9q`c]{ endstream endobj 22 0 obj << /Length 708 /Filter /FlateDecode >> stream xmUMO@+|vj+P[UmnLǟ9q(O;_=NNGo'xoC3]NMɆTu|y]ܒYӳgmvCfAj)^vX~/XlW'R79B2jD%ђhZ.;ġ>Xߣ-ExnV:r,t| 3XTy~Дq\Έӌ>\m™_f7rz|?gW*TQE/d`f3nWxKs7ߔzp#`75i$^1d趁yyY:vϥ Ri.m3PF3-[C_Mi';Hg韤i+3\GGe endstream endobj 30 0 obj << /Length1 1458 /Length2 7160 /Length3 0 /Length 8144 /Filter /FlateDecode >> stream xڍTk6LHt3 !-!=030 CwK("J7t4(]gy}]7<a QAQ|@~A))P ((/((aC9CsC0\HuSnZ8@ŤR!AAɿ@ 8Cꃄ;ne JJNȻ@0;B9@\nW9 v0_%P(W)///~;?i/ w r`s+`@H oS<`p:@M  9 ??d*N!\\Ap9C:*(o/ Od{ :"Ng>w;$s52۬ +"\\ p;`H9\'8 _c=\07̭ =@o;_ B~ܷ3"\1 0(PHHm0TuCٷ珄yozgy00 ?A7OT'$ ’qQA@`'W E$jvnZڈ[B\BPT?%v;} n끺UV @15V p{l#] Pv//9]; OV]vNׇ-' p;ʄD $/xK%!QQV`om vuB_ߖ$@?q2oL @_@_(@~<[f0ۿb?;{>RދomHfc$oqA]y"t~EVC5NTc^ӥ3ѵ&7[U]x |C09r<$uϼ>zWuZ[ *{jgR0k5IÊcĽOM2q|2N=|ì?S|?EI/Bf4d6Sԩ &Gƾ2ZMɶDޱJ/|Q,&YL[PlJCS%^0v ~׺qM[6 vBm Eu>wf ?n݌L ~~ٌm.ʼM݊!~0< }e~dx[p fIow9ٍ,:}Q ǁw_|o:_mمYI?$Xv3\CF;w5.c؄ *_lue)ؒ j"ߋW@oR8 NuGƞ|W(D@9.J eRj5mzا n. !;gү]ȓXFX%2fE<[cOxt.5|/`}adWQ6a2ZSAW_hq7U|Vrʸ'.&l+X[L#O ݺppe?mSkml& y8nWPZMh݉v{D^ny`6XjfG9xx%j3 ,L8zMZbu0p]ٴ ^b49 TZV{Eʛ2YTT5\fF _.:69]ZBiYGV%FwHRfQX ODa:kNtIeѐ~uɚ , J,뚡l&b@tF 5?{q.SAڔ'1R,K`,:%`*R$JΒGh]̤~_ZGj13aiKAӘT]q5|~b^1C ,kIrfeuό٫&p͠@e>i.5YԖjyM28f t7}1 -,luSG\f.)H%tG * bo.퐣¼)+O-ѹ0L9 <Ɯ$i>;ryGW_}o|xM! 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Five sets of imputations were done, separately for male and female participants. The resulting datasets are in \texttt{mitools/dta}. First we read all the datasets into R, using \texttt{read.dta} from the \texttt{foreign} package. <<>>= library(mitools) data.dir<-system.file("dta",package="mitools") ## read in data library(foreign) women<-imputationList(lapply(list.files(data.dir, pattern="f.\\.dta",full=TRUE), read.dta, warn.missing.labels=FALSE)) men<-imputationList(lapply(list.files(data.dir, pattern="m.\\.dta",full=TRUE), read.dta, warn.missing.labels=FALSE)) @ We now combine the imputations for men and women, first defining a \texttt{sex} variable <<>>= ## add sex variable women<-update(women,sex=0) men<-update(men, sex=1) ## combine two sets of imputations all<-rbind(women,men) all colnames(all) @ Now tabulate drinking frequency by sex <<>>= with(all, table(sex, drkfre)) @ and define a new `regular drinking' variables. <<>>= all<-update(all, drkreg=as.numeric(drkfre)>2) ## tables with(all, table(sex, drkreg)) @ We can now fit a logistic regression model for trends over time in drinking: <<>>= ## logistic regression model model1<-with(all, glm(drkreg~wave*sex, family=binomial())) MIcombine(model1) summary(MIcombine(model1)) @ For model objects with \texttt{coef} and \texttt{vcov} methods the extraction of coefficients and variances is automatic, but \texttt{MIextract} can still be used: <<>>= beta<-MIextract(model1, fun=coef) vars<-MIextract(model1, fun=vcov) summary(MIcombine(beta,vars)) @ \subsection*{References} Carlin JB, Li N, Greenwood P, Coffey C. (2003) Tools for analyzing multiply imputed datasets. \emph{Stata Journal} 3:1--20. \end{document} mitools/inst/doc/smi.R0000644000176200001440000000365413460434105014405 0ustar liggesusers### R code from vignette source 'smi.Rnw' ################################################### ### code chunk number 1: smi.Rnw:9-10 ################################################### options(width=70) ################################################### ### code chunk number 2: smi.Rnw:19-30 ################################################### library(mitools) data.dir<-system.file("dta",package="mitools") ## read in data library(foreign) women<-imputationList(lapply(list.files(data.dir, pattern="f.\\.dta",full=TRUE), read.dta, warn.missing.labels=FALSE)) men<-imputationList(lapply(list.files(data.dir, pattern="m.\\.dta",full=TRUE), read.dta, warn.missing.labels=FALSE)) ################################################### ### code chunk number 3: smi.Rnw:34-41 ################################################### ## add sex variable women<-update(women,sex=0) men<-update(men, sex=1) ## combine two sets of imputations all<-rbind(women,men) all colnames(all) ################################################### ### code chunk number 4: smi.Rnw:45-46 ################################################### with(all, table(sex, drkfre)) ################################################### ### code chunk number 5: smi.Rnw:49-52 ################################################### all<-update(all, drkreg=as.numeric(drkfre)>2) ## tables with(all, table(sex, drkreg)) ################################################### ### code chunk number 6: smi.Rnw:56-60 ################################################### ## logistic regression model model1<-with(all, glm(drkreg~wave*sex, family=binomial())) MIcombine(model1) summary(MIcombine(model1)) ################################################### ### code chunk number 7: smi.Rnw:65-68 ################################################### beta<-MIextract(model1, fun=coef) vars<-MIextract(model1, fun=vcov) summary(MIcombine(beta,vars)) mitools/NAMESPACE0000644000176200001440000000140413460416474013167 0ustar liggesusersimportFrom("methods", "is") importFrom("stats", "coef", "model.frame", "qt", "var", "vcov") import("DBI") export(imputationList,MIcombine, MIextract,withPV) S3method(MIcombine, default) S3method(dimnames,imputationList) S3method(dim,imputationList) S3method(cbind,imputationList) S3method(rbind,imputationList) S3method(print,imputationList) S3method(imputationList,default) S3method(imputationList,character) S3method(with,imputationList) S3method(with,DBimputationList) S3method(update, imputationList) S3method(update,DBimputationList) S3method(vcov,MIresult) S3method(print,MIresult) S3method(summary,MIresult) S3method(rbind,DBimputationList) S3method(cbind,DBimputationList) S3method(open,DBimputationList) S3method(close,DBimputationList) S3method(withPV, default) mitools/demo/0000755000176200001440000000000012332563323012666 5ustar liggesusersmitools/demo/mi.R0000644000176200001440000000151412242737355013427 0ustar liggesusers## data.dir<-system.file("inst",package="inst") data.dir<-"~/MI/inst" ## read in data library(foreign) women<-imputationList(lapply(list.files(data.dir,pattern="f.\\.dta",full=TRUE), read.dta)) men<-imputationList(lapply(list.files(data.dir,pattern="m.\\.dta",full=TRUE), read.dta)) ## add sex variable women<-update(women,sex=0) men<-update(men, sex=1) ## combine two sets of imputations all<-rbind(women,men) all<-update(all, drkreg=as.numeric(drkfre)>2) ## tables with(all, table(sex, drkfre)) with(all, table(sex, drkreg)) ## logistic regression model model1<-with(all, glm(drkreg~wave*sex, family=binomial())) MIcombine(model1) summary(MIcombine(model1)) ## alternative version beta<-MIextract(model1, fun=coef) vars<-MIextract(model1, fun=vcov) summary(MIcombine(beta, vars)) mitools/demo/00Index0000644000176200001440000000004312242737355014025 0ustar liggesusersmi Combining multiple imputations mitools/NEWS0000644000176200001440000000100313460416474012442 0ustar liggesusers2.4 Add support for 'plausible values', ie, imputations of a small number of variables stored as columns in the same dataset as everything else RODBC support is deprecated. Please use the obdc package, which uses the DBI interface. **Tell me if this is problem** 2.3 move vignettes for CRAN 2.2 as for 2.1 2.1 no actual changes, just changes in CRAN requirements 2.0 database-based imputation objects. option in MIcombine() to add complete-data degrees of freedom 1.0 First public release mitools/data/0000755000176200001440000000000013460416474012662 5ustar liggesusersmitools/data/pisamaths.rda0000644000176200001440000035764013460416474015362 0ustar liggesusers$EٶwrF"LUI&P̘0b'9a(fQ1D sDQtMT;=bw鮮x>.ַlْR( +ܲ%?k=yۑI۶l)\ ?8lRr T/Sy~LA]Tǩq Ss~J}:0u2]rҕ.ʗt2]2j!]}?k\5Q>JO:1]w?c,q(0%h/ҍQ>J7Gft}n-s՘)|N2(}}&.4$M4mc>Lq~J\Sqӥ]C>LwO!c?{tx:t?{_}.C}.')=LAY:|?Sz~HGcC:r?}/. t9JO}ޏ}@:2^Ҷ_NҎIڹӮ}faOi~cZiyQôژi}?v林g?S:qҳSz(=2NO =o?_ qz>J/ڇŗ^.! rWt>Nއ51Bez>N/.g8i?7}N K޾iuIC/(}Σ|wڟVSG3181qr3Cssssssssssssssssssseseseseseseseseseses *U0`8Wp\ù s *p&s51\M jb8Wùp&s59\Mjr8Wùp&s59\M jj8WSùps55\M jj8Wùps5=\Mjz8Wùpfs53\ jf8W3ùpfr>x?ljᏓ?NplWñ] v5plWñ] v5plWñ] v5plWñ] v5plWñ] v5plWñ] v5plWñ] 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UseMethod("withPV", data) withPV.default<-function(mapping, data, action,rewrite=TRUE, ...){ if(inherits(mapping,"formula")) mapping<-list(mapping) if (!is.list(mapping)) stop("'mapping' must be a list of formulas") if (!all(sapply(mapping, length)==3)) stop("'mapping' must be a list of two-sided formulas") PVframes<-lapply(mapping, function(f) model.frame(f[-2], data)) nvars<-length(PVframes) PVnames<-sapply(mapping, function(f) deparse(f[[2]])) if (any(PVnames %in% colnames(data))) stop("working PV names must not already occur in the data") nreps<-sapply(PVframes, NCOL) if (length(unique(nreps))>1) stop("number of plausible values must be the same for all variables") nreps<-nreps[1] results<-vector("list",nreps) if(rewrite){ sublist<-vector("list",nvars) names(sublist)<-PVnames for(i in 1:nreps){ for(j in 1:nvars) sublist[[j]]<-as.name(names(PVframes[[j]])[i]) if (is.function(action)){ actioni<-action body(actioni) <- eval(bquote(substitute(.(body(actioni)), sublist))) results[[i]]<-action(data) } else { actioni <- eval(bquote(substitute(.(action), sublist))) results[[i]] <- eval(actioni, data) } } } else { for(i in 1:nreps){ dfi<-lapply(PVframes, function(d) d[[i]]) names(dfi)<-PVnames .DATA<-cbind(data, as.data.frame(dfi)) if (is.function(action)) results[[i]] <- action(.DATA) else results[[i]] <- eval(action) } } attr(results,"call")<-sys.call() results } mitools/vignettes/0000755000176200001440000000000013460434105013750 5ustar liggesusersmitools/vignettes/smi.Rnw0000644000176200001440000000414012242737355015241 0ustar liggesusers\documentclass[12pt]{article} \title{Combining multiple imputations} \author{Thomas Lumley} \SweaveOpts{echo=TRUE} %\VignetteIndexEntry{smi}{Combining multiple imputations} \begin{document} \maketitle <>= options(width=70) @ Carlin \emph{et al.} (2003) illustrate the use of their Stata texttt for multiple imputations with data from a cohort study of adolescent health. Five sets of imputations were done, separately for male and female participants. The resulting datasets are in \texttt{mitools/dta}. First we read all the datasets into R, using \texttt{read.dta} from the \texttt{foreign} package. <<>>= library(mitools) data.dir<-system.file("dta",package="mitools") ## read in data library(foreign) women<-imputationList(lapply(list.files(data.dir, pattern="f.\\.dta",full=TRUE), read.dta, warn.missing.labels=FALSE)) men<-imputationList(lapply(list.files(data.dir, pattern="m.\\.dta",full=TRUE), read.dta, warn.missing.labels=FALSE)) @ We now combine the imputations for men and women, first defining a \texttt{sex} variable <<>>= ## add sex variable women<-update(women,sex=0) men<-update(men, sex=1) ## combine two sets of imputations all<-rbind(women,men) all colnames(all) @ Now tabulate drinking frequency by sex <<>>= with(all, table(sex, drkfre)) @ and define a new `regular drinking' variables. <<>>= all<-update(all, drkreg=as.numeric(drkfre)>2) ## tables with(all, table(sex, drkreg)) @ We can now fit a logistic regression model for trends over time in drinking: <<>>= ## logistic regression model model1<-with(all, glm(drkreg~wave*sex, family=binomial())) MIcombine(model1) summary(MIcombine(model1)) @ For model objects with \texttt{coef} and \texttt{vcov} methods the extraction of coefficients and variances is automatic, but \texttt{MIextract} can still be used: <<>>= beta<-MIextract(model1, fun=coef) vars<-MIextract(model1, fun=vcov) summary(MIcombine(beta,vars)) @ \subsection*{References} Carlin JB, Li N, Greenwood P, Coffey C. (2003) Tools for analyzing multiply imputed datasets. \emph{Stata Journal} 3:1--20. \end{document} mitools/MD50000644000176200001440000000307013460510123012243 0ustar liggesusers35def45baf0069d1d338014614008ca9 *DESCRIPTION bf4227f218d685407d6e37c9371802c0 *NAMESPACE 470f41cfdb0c6d644d193a28f8ef1541 *NEWS 2429da14a5c75ae1f9acf6d2908b831c *R/MI.R 4c3a963ee03659a999bc4877c3629be3 *R/PV.R 3933dc2ec66c0d12f6fb8050c9ec732c *R/update.R 5e1a01934ffdca0c68eb1c1b6d7a3bf2 *build/vignette.rds 519f63bbec38dfa9704af3540a4f94e7 *data/pisamaths.rda d7c69e76801276d6f627e321cdb1c77f *data/smi.rda 8ee0e3cb56d504c9e2984be1ea36c5c6 *demo/00Index bbcf034b5d88022814f9d336e8f24664 *demo/mi.R d20f1ce0fdcbb0fae8d4e9a7333865aa *inst/doc/smi.R aafe294f7438ff386697a1afdaae80a8 *inst/doc/smi.Rnw a1f1c3e73b725ec563ceed31e006234d *inst/doc/smi.pdf a394bfae790df6f48ad67bdb123637a2 *inst/dta/smif1.dta df5b9433512b3b124348349917c39698 *inst/dta/smif2.dta 689b5b1484422939e3b3473c69749bc4 *inst/dta/smif3.dta cfdcb08cd729fa75c011504d41483ec7 *inst/dta/smif4.dta 23ae750aa7ef9c476dfeb9f294197d56 *inst/dta/smif5.dta ad4226af151bbbcc6feb977255988c5e *inst/dta/smim1.dta 3f89410b06e6c9a261fc90d73f8e7215 *inst/dta/smim2.dta 3f0ba8f452aaa16d2cb11e86c5d7ae9f *inst/dta/smim3.dta 56a8b144878378aaa3687f72588f9e66 *inst/dta/smim4.dta 651a6f4e9a8180da2680e2166e02e558 *inst/dta/smim5.dta c46fd3b6056f9f2b8f58bb9b6b73e583 *man/MIcombine.Rd cc850a8573997befa6b80f821314cd92 *man/MIextract.Rd 31f62b50091c358de19f6e1b1836f1c1 *man/PV.Rd 0abd38479c383974c590e551477b23ff *man/imputationList.Rd 08cf81e89bcdf3f65a59893cf5efad0d *man/pisamaths.Rd 2d070ff71bbb1466c8d319038821c635 *man/smi.Rd 7104ae9fe7c73604a1de3799013c0d78 *man/with.imputationList.Rd aafe294f7438ff386697a1afdaae80a8 *vignettes/smi.Rnw mitools/build/0000755000176200001440000000000013460434105013037 5ustar liggesusersmitools/build/vignette.rds0000644000176200001440000000027213460434105015377 0ustar liggesusersb```b`feb`b2 1# 'f/ +Gf cSY& 6h0X" ,LȊsS tI-HK î?"5lP5,n90{C2K7(1 棸(\^P6@btr$$ ˞Omitools/DESCRIPTION0000644000176200001440000000070313460510123013441 0ustar liggesusersPackage: mitools Title: Tools for Multiple Imputation of Missing Data Version: 2.4 Author: Thomas Lumley Description: Tools to perform analyses and combine results from multiple-imputation datasets. Maintainer: Thomas Lumley Suggests: RODBC, foreign Imports: DBI, methods, stats License: GPL-2 NeedsCompilation: no Packaged: 2019-04-25 22:44:21 UTC; tlum005 Repository: CRAN Date/Publication: 2019-04-26 05:00:03 UTC mitools/man/0000755000176200001440000000000013460416474012524 5ustar liggesusersmitools/man/MIextract.Rd0000755000176200001440000000201312242737355014713 0ustar liggesusers\name{MIextract} \alias{MIextract} %- Also NEED an '\alias' for EACH other topic documented here. \title{Extract a parameter from a list of results } \description{ Used to extract parameter estimates and standard errors from lists produced by \code{\link{with.imputationList}}. } \usage{ MIextract(results, expr, fun) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{results}{A list of objects} \item{expr}{an expression} \item{fun}{a function of one argument} } \value{ A list } \details{ If \code{expr} is supplied, it is evaluated in each element of \code{results}. Otherwise each element of \code{results} is passed as an argument to \code{fun}. } \seealso{\code{\link{with.imputationList}}, \code{\link{MIcombine}}} \examples{ data(smi) models<-with(smi, glm(drinkreg~wave*sex,family=binomial())) betas<-MIextract(models,fun=coef) vars<-MIextract(models, fun=vcov) summary(MIcombine(betas,vars)) } \keyword{manip}% at least one, from doc/KEYWORDS mitools/man/PV.Rd0000644000176200001440000000475513460416474013353 0ustar liggesusers\name{withPV} \alias{withPV} \alias{withPV.default} %- Also NEED an '\alias' for EACH other topic documented here. \title{ Analyse plausible values in surveys } \description{ Repeats an analysis for each of a set of 'plausible values' in a data set, returning a list suitable for \code{MIcombine}. That is, the data set contains some sets of columns where each set are multiple imputations of the same variable. With \code{rewrite=TRUE}, the \code{action} is rewritten to reference each plausible value in turn; with code{rewrite=FALSE} a new data set is constructed for each plausible value, which is slower but more general. } \usage{ withPV(mapping, data, action, rewrite=TRUE, ...) \S3method{withPV}{default}(mapping, data, action, rewrite=TRUE,...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{mapping}{ A formula or list of formulas describing each variable in the analysis that has plausible values. The left-hand side of the formula is the name to use in the analysis; the right-hand side gives the names in the dataset. } \item{data}{ A data frame. Methods for \code{withPV} dispatch on this argument, so can be written for, eg, survey designs or out-of-memory datasets. } \item{action}{ With \code{rewrite=TRUE}, a quoted expression specifying the analysis, or a function taking a data frame as its only argument. With \code{rewrite=FALSE}, A function taking a data frame as its only argument, or a quoted expression with \code{.DATA} referring to the newly-created data frame to be used. } \item{rewrite}{ Rewrite \code{action} before evaluating it (versus constructing new data sets) } \item{\dots}{ For methods } } \value{ A list of the results returned by each evaluation of \code{action}, with the call as an attribute. } \note{I would be interested in seeing naturally-occurring examples where \code{rewrite=TRUE} does not work} \seealso{ \code{\link{pisamaths}} \code{\link{with.imputationList}} } \examples{ data(pisamaths) models<-withPV(list(maths~PV1MATH+PV2MATH+PV3MATH+PV4MATH+PV5MATH), data=pisamaths, action= quote(lm(maths~ ST04Q01*(PCGIRLS+SMRATIO)+MATHEFF+OPENPS, data=.DATA)), rewrite=FALSE ) summary(MIcombine(models)) ## equivalently models2<-withPV(list(maths~PV1MATH+PV2MATH+PV3MATH+PV4MATH+PV5MATH), data=pisamaths, action=quote( lm(maths~ST04Q01*(PCGIRLS+SMRATIO)+MATHEFF+OPENPS)), rewrite=TRUE) summary(MIcombine(models2)) } % Add one or more standard keywords, see file 'KEYWORDS' in the % R documentation directory. mitools/man/pisamaths.Rd0000644000176200001440000000527613460416474015016 0ustar liggesusers\name{pisamaths} \alias{pisamaths} \docType{data} \title{ Maths Performance Data from the PISA 2012 survey in New Zealand } \description{ Data on maths performance, gender, some problem-solving variables and some school resource variables. This is actually a weighted survey: see \code{withPV.survey.design} in the \code{survey} package for a better analyis. } \usage{data("pisamaths")} \format{ A data frame with 4291 observations on the following 26 variables. \describe{ \item{\code{SCHOOLID}}{School ID} \item{\code{CNT}}{Country id: a factor with levels \code{New Zealand}} \item{\code{STRATUM}}{a factor with levels \code{NZL0101} \code{NZL0102} \code{NZL0202} \code{NZL0203}} \item{\code{OECD}}{Is the country in the OECD?} \item{\code{STIDSTD}}{Student ID} \item{\code{ST04Q01}}{Gender: a factor with levels \code{Female} \code{Male}} \item{\code{ST14Q02}}{Mother has university qualifications \code{No} \code{Yes}} \item{\code{ST18Q02}}{Father has university qualifications \code{No} \code{Yes}} \item{\code{MATHEFF}}{Mathematics Self-Efficacy: numeric vector} \item{\code{OPENPS}}{Mathematics Self-Efficacy: numeric vector} \item{\code{PV1MATH},\code{PV2MATH},\code{PV3MATH},\code{PV4MATH},\code{PV5MATH} }{'Plausible values' (multiple imputations) for maths performance} \item{\code{W_FSTUWT}}{Design weight for student} \item{\code{SC35Q02}}{Proportion of maths teachers with professional development in maths in past year} \item{\code{PCGIRLS}}{Proportion of girls at the school} \item{\code{PROPMA5A}}{Proportion of maths teachers with ISCED 5A (math major)} \item{\code{ABGMATH}}{Does the school group maths students: a factor with levels \code{No ability grouping between any classes} \code{One of these forms of ability grouping between classes for s} \code{One of these forms of ability grouping for all classes}} \item{\code{SMRATIO}}{Number of students per maths teacher} \item{\code{W_FSCHWT}}{Design weight for school} \item{\code{condwt}}{Design weight for student given school} } } \source{ A subset extracted from the \code{PISA2012lite} R package, \url{https://github.com/pbiecek/PISA2012lite} } \references{ OECD (2013) PISA 2012 Assessment and Analytical Framework: Mathematics, Reading, Science, Problem Solving and Financial Literacy. OECD Publishing. } \examples{ data(pisamaths) means<-withPV(list(maths~PV1MATH+PV2MATH+PV3MATH+PV4MATH+PV5MATH), data=pisamaths, action= quote(by(maths, ST04Q01, mean)), rewrite=TRUE) means models<-withPV(list(maths~PV1MATH+PV2MATH+PV3MATH+PV4MATH+PV5MATH), data=pisamaths, action= quote(lm(maths~ST04Q01*PCGIRLS)), rewrite=TRUE) summary(MIcombine(models)) } \keyword{datasets} mitools/man/MIcombine.Rd0000755000176200001440000000440012242737355014657 0ustar liggesusers\name{MIcombine} \alias{MIcombine} \alias{MIcombine.default} \alias{MIcombine.imputationResultList} \alias{print.MIresult} \alias{summary.MIresult} \alias{vcov.MIresult} %- Also NEED an '\alias' for EACH other topic documented here. \title{Multiple imputation inference} \description{ Combines results of analyses on multiply imputed data sets. A generic function with methods for \code{imputationResultList} objects and a default method. In addition to point estimates and variances, \code{MIcombine} computes Rubin's degrees-of-freedom estimate and rate of missing information. } \usage{ MIcombine(results, ...) \method{MIcombine}{default}(results,variances,call=sys.call(),df.complete=Inf,...) \method{MIcombine}{imputationResultList}(results,call=NULL,df.complete=Inf,...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{results}{A list of results from inference on separate imputed datasets} \item{variances}{If \code{results} is a list of parameter vectors, \code{variances} should be the corresponding variance-covariance matrices} \item{call}{A function call for labelling the results} \item{df.complete}{Complete-data degrees of freedom} \item{\dots}{Other arguments, not used} } \details{ The \code{results} argument in the default method may be either a list of parameter vectors or a list of objects that have \code{coef} and \code{vcov} methods. In the former case a list of variance-covariance matrices must be supplied as the second argument. The complete-data degrees of freedom are used when a complete-data analysis would use a t-distribution rather than a Normal distribution for confidence intervals, such as some survey applications. } \value{ An object of class \code{MIresult} with \code{summary} and \code{print} methods } \references{ ~put references to the literature/web site here ~ } \seealso{ \code{\link{MIextract}}, \code{\link{with.imputationList}}} \examples{ data(smi) models<-with(smi, glm(drinkreg~wave*sex,family=binomial())) summary(MIcombine(models)) betas<-MIextract(models,fun=coef) vars<-MIextract(models, fun=vcov) summary(MIcombine(betas,vars)) } \keyword{htest}% at least one, from doc/KEYWORDS \keyword{manip}% __ONLY ONE__ keyword per line mitools/man/imputationList.Rd0000755000176200001440000000520712242737355016050 0ustar liggesusers\name{imputationList} \alias{imputationList} \alias{print.imputationList} \alias{rbind.imputationList} \alias{cbind.imputationList} \alias{dimnames.imputationList} \alias{dim.imputationList} \alias{update.imputationList} \alias{imputationList.default} \alias{imputationList.character} %- Also NEED an '\alias' for EACH other topic documented here. \title{Constructor for imputationList objects } \description{ Create and update \code{imputationList} objects to be used as input to other \code{MI} routines. } \usage{ imputationList(datasets,...) \method{imputationList}{default}(datasets,...) \method{imputationList}{character}(datasets,dbtype,dbname,...) \method{update}{imputationList}(object,...) \method{rbind}{imputationList}(...) \method{cbind}{imputationList}(...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{datasets}{a list of data frames corresponding to the multiple imputations, or a list of names of database tables or views} \item{dbtype}{"ODBC" or a database driver name for \code{DBI::dbDriver()}} \item{dbname}{Name of the database} \item{object}{An object of class \code{imputationList}} \item{...}{Arguments \code{tag=expr} to \code{update} will create new variables \code{tag} by evaluating \code{expr} in each imputed dataset. Arguments to \code{imputationList()} are passed to the database driver} } \value{ An object of class \code{imputationList} or \code{DBimputationList} } \details{ When the arguments to \code{imputationList()} are character strings a database-based imputation list is created. This can be a database accessed through ODBC with the \code{RODBC} package or a database with a DBI-compatible driver. The \code{dbname} and \code{\dots} arguments are passed to \code{dbConnect()} or \code{odbcConnect()} to create a database connection. Data are read from the database as needed. For a database-backed object the \code{update()} method creates variable definitions that are evaluated as the data are read, so that read-only access to the database is sufficient. } \examples{ \dontrun{ ## CRAN doesn't like this example data.dir <- system.file("dta",package="mitools") files.men <- list.files(data.dir,pattern="m.\\\\.dta$",full=TRUE) men <- imputationList(lapply(files.men, foreign::read.dta)) files.women <- list.files(data.dir,pattern="f.\\\\.dta$",full=TRUE) women <- imputationList(lapply(files.women, foreign::read.dta)) men <- update(men, sex=1) women <- update(women,sex=0) all <- rbind(men,women) all <- update(all, drinkreg=as.numeric(drkfre)>2) all } } \keyword{manip}% at aleast one, from doc/KEYWORDS mitools/man/smi.Rd0000644000176200001440000000250112242737355013602 0ustar liggesusers\name{smi} \alias{smi} \docType{data} \title{Multiple imputations} \description{ An \code{imputationList} object containing five imputations of data from the Victorian Adolescent Health Cohort Study. } \usage{data(smi)} \format{ The underlying data are in a data frame with 1170 observations on the following 12 variables. \describe{ \item{id}{a numeric vector} \item{wave}{a numeric vector} \item{mmetro}{a numeric vector} \item{parsmk}{a numeric vector} \item{drkfre}{a factor with levels \code{Non drinker} \code{not in last wk} \code{<3 days last wk} \code{>=3 days last wk}} \item{alcdos}{a factor with levels \code{Non drinker} \code{not in last wk} \code{av <5units/drink_day} \code{av =>5units/drink_day}} \item{alcdhi}{a numeric vector} \item{smk}{a factor with levels \code{non/ex-smoker} \code{<6 days} \code{6/7 days}} \item{cistot}{a numeric vector} \item{mdrkfre}{a numeric vector} \item{sex}{a numeric vector} \item{drinkreg}{a logical vector} } } \source{ Carlin, JB, Li, N, Greenwood, P, Coffey, C. (2003) "Tools for analysing multiple imputed datasets" The Stata Journal 3; 3: 1-20. } \examples{ data(smi) with(smi, table(sex, drkfre)) model1<-with(smi, glm(drinkreg~wave*sex, family=binomial())) MIcombine(model1) summary(MIcombine(model1)) } \keyword{datasets} mitools/man/with.imputationList.Rd0000755000176200001440000000227412242737355017023 0ustar liggesusers\name{with.imputationList} \alias{with.imputationList} %- Also NEED an '\alias' for EACH other topic documented here. \title{Evaluate an expression in multiple imputed datasets} \description{ Performs a computation of each of imputed datasets in \code{data} } \usage{ \method{with}{imputationList}(data, expr, fun, ...) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{data}{An \code{imputationList} object } \item{expr}{An expression } \item{fun}{A function taking a data frame argument} \item{...}{Other arguments, passed to \code{fun} } } \value{ Either a list or an \code{imputationResultList} object } \details{ If \code{expr} is supplied, evaluate it in each dataset in \code{data}; if \code{fun} is supplied, it is evaluated on each dataset. If all the results inherit from \code{"imputationResult"} the return value is an \code{imputationResultList} object, otherwise it is an ordinary list. } \seealso{\code{\link{imputationList}} } \examples{ data(smi) models<-with(smi, glm(drinkreg~wave*sex,family=binomial())) tables<-with(smi, table(drkfre,sex)) with(smi, fun=summary) } \keyword{manip}% at least one, from doc/KEYWORDS