R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- array(list(0.175856683,'Control',-0.447651543,'Control',1.189631467,'Control',0.630458094,'Control',0.799144649,'Control',-1.092828626,'Control',-1.238732879,'Control',1.16725143,'Control',-0.113810912,'TreatA',1.679383017,'TreatA',2.436619868,'TreatA',0.303840895,'TreatA',2.087609483,'TreatA',1.505986604,'TreatA',0.514409262,'TreatA',1.446292098,'TreatA',-0.234668772,'TreatB',1.873012882,'TreatB',-0.229861698,'TreatB',-0.421339844,'TreatB',2.09408266,'TreatB',-0.206760875,'TreatB',-1.821729039,'TreatB',2.229756407,'TreatB'),dim=c(2,24),dimnames=list(c('treatment','post3-pre'),1:24))
>  y <- array(NA,dim=c(2,24),dimnames=list(c('treatment','post3-pre'),1:24))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
There were 24 warnings (use warnings() to see them)
> par3 = 'TRUE'
> par2 = '1'
> par1 = '2'
> ylab = 'Y Variable Name'
> xlab = 'X Variable Name'
> main = 'Title Goes Here'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> cat1 <- as.numeric(par1) #
> cat2<- as.numeric(par2) #
> intercept<-as.logical(par3)
> x <- t(x)
> x1<-as.numeric(x[,cat1])
There were 24 warnings (use warnings() to see them)
> f1<-as.character(x[,cat2])
> xdf<-data.frame(x1,f1)
> (V1<-dimnames(y)[[1]][cat1])
[1] "post3-pre"
> (V2<-dimnames(y)[[1]][cat2])
[1] "treatment"
> names(xdf)<-c('Response', 'Treatment')
> if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) )
Error in `contrasts<-`(`*tmp*`, value = "contr.treatment") : 
  contrasts can be applied only to factors with 2 or more levels
Calls: lm ... model.matrix -> model.matrix.default -> contrasts<-
Execution halted