search for: wsdesign

I'm an SPSS user trying to make the transition to R. Can someone help me translate the following SPSS code into R?: GLM Total_tp1 Total_tp2 WITH Age Sex   /WSFACTOR=Time 2 Repeated   /METHOD=SSTYPE(3)   /CRITERIA=ALPHA(.05)   /WSDESIGN= Time   /DESIGN= Age Sex Age*Sex. Also. can anyone recommend any resources to help SPSS users learn to things in R? Thanks, -kristi [[alternative HTML version deleted]]

...EMMEANS = TABLES(sex) /PRINT = DESCRIPTIVE ETASQ OPOWER HOMOGENEITY /CRITERIA = ALPHA(.05) /DESIGN = blik sex blik*sex . GLM avmth3fq avfreq BY SEX /WSFACTOR = timex 2 Polynomial /METHOD = SSTYPE (3) /PRINT = DESCRIPTIVE ETASQ TEST(MMATRIX) HOMOGENEITY /CRITERIA = ALPHA (.05) /WSDESIGN = timex /DESIGN = sex . Any assistance with either of these enquiries is most appreciated. Bob

...: aov( RT ~ color * shape * MyGroup + Error( Subjects/( color*shape) ) In spss you would have something like this (of course with the data organized slightly differently : GLM x1 x2 x3 x4 BY MyGroup /WSFACTOR = color 2 Polynomial shape 2 Polynomial /METHOD = SSTYPE(3) /CRITERIA = ALPHA(.05) /WSDESIGN = color shape color*shape /DESIGN = VAR00001 . Ok, the question is. If the group sizes are different (say 10 people in one group and 12 people in the other group) R is going to give the wrong answer. Of course that is not R's fault. BUT MY QUESTION IS: HOW TO GET THE UNBALANCED REPEATED ME...

....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....

...know: aov( RT ~ color * shape * MyGroup + Error( Subjects/( color*shape) ) In spss you would have something like this (of course with the data organized slightly differently : GLM x1 x2 x3 x4 BY MyGroup /WSFACTOR = color 2 Polynomial shape 2 Polynomial /METHOD = SSTYPE(3) /CRITERIA = ALPHA(.05) /WSDESIGN = color shape color*shape /DESIGN = VAR00001 . Ok, the question is. If the group sizes are different (say 10 people in one group and 12 people in the other group) R is going to give the wrong answer. Of course that is not R's fault. === message truncated === _______________________________...