Fast question:is the design well balanced ?

Cause if not, it might be because R's aov goes with SS type 1, while SPSS
goes with SS type 3.
For more info on this search for discussions with: "car", Anova, SS type
III, and repeated measures


Tal




On Sun, Mar 1, 2009 at 11:13 AM, René Mayer <ma...@psychologie.tu-dresden.de
> wrote:

> dear all,
>
> i'm trying to reproduce an spss-anova in R.
> It is an 2x3x3 repeated measures desingn with repeated contrasts.
> In R i've coded a contrast matrix for all factors and made a
> split in the aov summary - but I can't get the repeated interaction
> contrasts.
>
> The output from SPSS looks like this:
>
> TaskSw * CongNow * CongBefore: SS df Mean Square    F   Sig.
> 1 vs. 2  1 vs. 2   1 vs. 2    13944,50  1 13944,50  0.37 0.56
>                   2 vs. 3    4278,12   1 4278,12   0.31 0.59
>         2 vs. 3   1 vs. 2    7140,12   1 7140,12   0.17 0.68
>                   2 vs. 3    53301,131 1 53301,13  1.38 0.27
>
>
> The output from R looks like this:
>
> Error: Subj:TaskSw:CongNow:CongBefore
>
>                                        Df Sum Sq Mean Sq F value Pr(>F)
>                                        4  18823    4706  1.8804 0.1417
>  rep vs. se.con vs. inc.con vs. inc     1
>            inc vs. neu.                1
>            con vs. inc.inc vs. neu     1
>            inc vs. neu.                1
> Residuals                               28  70069    2502
>
>
>
> I've pasted the R and SPSS code I uesd. thanks in advance. Rene
>
> R code:
> # read in data
>
>  TaskSwitch <- factor(rep(c(0:1), 72),
>                      levels=c(0,1),
>                      labels=c("Repetition","Switch"))
>  CongruenceNow <- factor(rep(c(0,0,1,1,2,2), 24),
>                          levels=c(0,1,2),
>
>  labels=c("Congruent","Incongruent","Neutral"))
>  CongruenceBefore <- factor(rep(c(0,0,0,0,0,0,1,1,1,1,1,1,2,2,2,2,2,2), 8),
>                            levels=c(0,1,2),
>
>  labels=c("Congruent","Incongruent","Neutral"))
>  # Subjects
>  Subjects <-    factor(rep(c(1:8), each = 18))
>  # RT = Response Time
>  RT <-
> c(648,682,798,765,707,677,676,698,712,770,702,683,635,716,748,703,737,
>
>  657,1047,1140,992,1088,925,967,1022,1105,884,1103,930,1046,1034,1032,
>
>  948,956,987,993,753,782,837,923,820,846,835,884,778,873,774,760,848,
>
>  824,788,864,969,833,662,683,848,903,731,755,778,748,792,913,707,721,
>
>  736,766,771,898,874,801,762,824,956,865,864,908,828,877,804,1096,864,
>
>  878,799,833,883,1005,863,824,691,666,698,791,712,778,731,743,749,781,
>
>  717,769,732,730,703,771,743,709,470,489,546,574,541,523,536,556,532,
>
>  510,543,557,531,554,532,573,528,514,842,785,851,932,888,920,856,840,
>          1010,877,784,901,845,923,798,907,903,758)
>
>  m <- data.frame(RT, TaskSwitch,CongruenceNow,CongruenceBefore,Subjects)
>
>
>  # defining repeated contrasts for all factors
>  conCN = matrix(c(1,0,
>                  -1,1,
>                   0,-1), nrow = 3, ncol = 2, byrow = TRUE)
>  contrasts(m$CongruenceNow) <- conCN
>
>  conTS = matrix(c(1,
>                 -1), nrow = 2, ncol = 1, byrow = TRUE)
>  contrasts(m$TaskSwitch) <- conTS
>
>  conCB = matrix(c(1,0,
>                  -1,1,
>                  0,-1), nrow = 3, ncol = 2, byrow = TRUE)
>  contrasts(m$CongruenceBefore) <- conCB
>
>  # ANOVA
>
>  fit <- aov(RT ~ TaskSwitch*CongruenceNow*CongruenceBefore +
> Error(Subjects/(TaskSwitch*CongruenceNow*CongruenceBefore)), data = m)
>
>  summary(fit)
>
>  summary(fit, split = list(CongruenceNow = list("con vs. inc" = 1,
>                                                "inc vs. neu" = 2),
>                            CongruenceBefore= list("con vs. inc" = 1,
>                                                "inc vs. neu" = 2),
>                            TaskSwitch    =   list("rep vs. se" = 1)))
>
>
>  # export to spss
>  require(foreign)
>  codefile<-tempfile()
>  write.foreign(m, paste("C:/m.sav",sep = ''), codefile,package="SPSS")
>
> SPSS:
> ###### BEGIN: SPSS code
>  ###########################################################################
>  #  GET DATA
>  # /TYPE=TXT /FILE='C:\m.sav' /DELCASE=LINE /DELIMITERS=","
> /ARRANGEMENT=DELIMITED
>  # /FIRSTCASE=1/IMPORTCASE=ALL
>  # /VARIABLES=
>  # RT F4.0 TaskSwitch F1.0  CongruenceNow  F1.0 CongruenceBefore F1.0
> Subjects F1.0.
>  # CACHE.
>  # EXECUTE.
>  # DATASET NAME DataSet1 WINDOW=FRONT.
>  #
>  # SORT CASES BY Subjects TaskSwitch CongruenceNow CongruenceBefore .
>  # CASESTOVARS
>  # /ID= Subjects
>  # /INDEX=TaskSwitch CongruenceNow CongruenceBefore
>  # /GROUPBY=VARIABLE.
>  #
>  # GLM RT.1.1.1 RT.1.1.2 RT.1.1.3 RT.1.2.1 RT.1.2.2 RT.1.2.3 RT.1.3.1
> RT.1.3.2 RT.1.3.3 RT.2.1.1
>  #   RT.2.1.2 RT.2.1.3 RT.2.2.1 RT.2.2.2 RT.2.2.3 RT.2.3.1 RT.2.3.2
> RT.2.3.3
>  # /WSFACTOR=TaskSwitch 2 Repeated CongruenceNow 3 Repeated
> CongruenceBefore 3 Repeated
>  # /METHOD=SSTYPE(3)
>  # /PRINT=DESCRIPTIVE OPOWER TEST(SSCP)
>  # /CRITERIA=ALPHA(.05)
>  # /WSDESIGN=TaskSwitch CongruenceNow CongruenceBefore
> TaskSwitch*CongruenceNow
>  #   TaskSwitch*CongruenceBefore CongruenceNow*CongruenceBefore
>  #   TaskSwitch*CongruenceNow*CongruenceBefore.
>  ###### END: SPSS code
> ###########################################################################
>
>
>
>
> --
> Dr. rer. nat. Dipl.-Psych. René Mayer
>
> Dresden University of Technology
> Department of Psychology
> Zellescher Weg 17
> D-01062 Dresden
>
> Tel.: +49-351-4633-4568
>
> Email: ma...@psychologie.tu-dresden.de
>
>
>
>
>
>
> --
> Dr. rer. nat. Dipl.-Psych. René Mayer
>
> Dresden University of Technology
> Department of Psychology
> Zellescher Weg 17
> D-01062 Dresden
>
> Tel.: +49-351-4633-4568
>
> Email: ma...@psychologie.tu-dresden.de
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
----------------------------------------------


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