R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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> x <- array(list(0.28,'A','M',0.95,'A','M',0.96,'A','M',0.97,'A','M',0.40,'A','M',0.18,'A','M',0.12,'A','M',0.62,'A','M',1.81,'A','F',1.51,'A','F',1.41,'A','F',1.39,'A','F',1.20,'A','F',1.55,'A','F',1.48,'A','F',1.25,'A','F',0.95,'B','M',1.33,'B','M',0.92,'B','M',0.85,'B','M',1.06,'B','M',0.69,'B','M',0.70,'B','M',0.79,'B','M',2.93,'B','F',3.24,'B','F',3.42,'B','F',2.79,'B','F',2.54,'B','F',3.28,'B','F',2.80,'B','F',3.40,'B','F'),dim=c(3,32),dimnames=list(c('R','A','B'),1:32))
>  y <- array(NA,dim=c(3,32),dimnames=list(c('R','A','B'),1:32))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
There were 50 or more warnings (use warnings() to see the first 50)
> par4 = 'FALSE'
> par3 = ''
> par2 = '2'
> par1 = '1'
> ylab = 'Y Variable Name'
> xlab = 'X Variable Name'
> main = 'Title Goes Here'
> par4 <- 'FALSE'
> par3 <- ''
> par2 <- '2'
> par1 <- '1'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: aston2
> #To cite this work: Ian E. Holliday, 2012, Two-Way ANOVA (v1.0.3) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_Two%20Factor%20ANOVA.wasp/
> #Source of accompanying publication: 
> #
> cat1 <- as.numeric(par1) #
> cat2<- as.numeric(par2) #
> cat3 <- as.numeric(par3)
> intercept<-as.logical(par4)
> x <- t(x)
> x1<-as.numeric(x[,cat1])
> f1<-as.character(x[,cat2])
> f2 <- as.character(x[,cat3])
> xdf<-data.frame(x1,f1, f2)
> (V1<-dimnames(y)[[1]][cat1])
[1] "R"
> (V2<-dimnames(y)[[1]][cat2])
[1] "A"
> (V3 <-dimnames(y)[[1]][cat3])
[1] NA
> names(xdf)<-c('Response', 'Treatment_A', 'Treatment_B')
> if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment_A * Treatment_B- 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment_A * Treatment_B, data = xdf) )
Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) : 
  contrasts can be applied only to factors with 2 or more levels
Calls: lm ... model.matrix -> model.matrix.default -> contrasts<-
Execution halted