x <- array(list(3,3,6,2,8,3,8,3,7,3,1,2,7,1,8,3,9,3,9,1,3,2,9,2,7,3,9,3,8,3,6,2,7,3,8,3,9,3,7,1,6,1,8,2,7,2,7,3,8,3,9,2,9,2,7,3,2,2,7,1,7,3,9,1,7,1,9,3,20,2,1,3,6,3,9,2,9,1,8,2,6,2,6,1,1,2,8,2,8,3,1,1,6,1,9,2,8,2,2,2,8,2,9,1,7,3,7,3,6,3,9,3,9,1,8,1,2,1,6,3,20,3,8,1,7,1,7,1,8,3,3,1,8,3,20,3,7,1,1,1,20,3,1,3,8,1,9,2,6,1,9,1,8,1,1,1,8,3,3,1,7,3,8,2,20,3,9,3,20,2,9,2,8,1,8,2,8,3,9,2,2,3,6,1,7,3,2,2,9,2,7,1,8,3,8,2,8,3,7,2,7,1,9,1,8,3,8,3,9,2,9,3,20,3,7,3,8,1,1,3,9,3,8,3,7,3,8,2,8,3,7,2,6,3,7,3,7,3,6,1,6,3,7,1,9,3,6,1,20,1,2,1,8,3,7,3,20,2,6,2,1,3,9,3,8,1,9,2,8,3,8,3,9,3,8,1,9,2,7,3,6,3,8,3,6,1,1,3,3,1,6,3,8,3,7,1,8,3,6,3,9,3,9,3,20,2,7,3,1,1,8,3,9,3,8,2,8,2,2,3),dim=c(2,160),dimnames=list(c('mwarm30','momage'),1:160))
 y <- array(NA,dim=c(2,160),dimnames=list(c('mwarm30','momage'),1:160))
 for (i in 1:dim(x)[1])
 {
 	for (j in 1:dim(x)[2])
 	{
 		y[i,j] <- as.numeric(x[i,j])
 	}
 }
par3 = 'TRUE'
par2 = '2'
par1 = '1'
ylab = 'Y Variable Name'
xlab = 'X Variable Name'
main = 'Title Goes Here'
cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
intercept<-as.logical(par3)
x <- t(x)
x1<-as.numeric(x[,cat1])
f1<-as.character(x[,cat2])
xdf<-data.frame(x1,f1)
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
names(xdf)<-c('Response', 'Treatment')
if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) )
(aov.xdf<-aov(lmxdf) )
(anova.xdf<-anova(lmxdf) )

#Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
load(file="/var/wessaorg/rcomp/createtable")

a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Model', length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, paste(V1, ' ~ ', V2), length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'means',,TRUE)
for(i in 1:length(lmxdf$coefficients)){
a<-table.element(a, round(lmxdf$coefficients[i], digits=3),,FALSE)
}
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/var/wessaorg/rcomp/tmp/12nmg1352162499.tab") 
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Statistics', 5+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ',,TRUE)
a<-table.element(a, 'Df',,FALSE)
a<-table.element(a, 'Sum Sq',,FALSE)
a<-table.element(a, 'Mean Sq',,FALSE)
a<-table.element(a, 'F value',,FALSE)
a<-table.element(a, 'Pr(>F)',,FALSE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, V2,,TRUE)
a<-table.element(a, anova.xdf$Df[1],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'F value'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3),,FALSE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residuals',,TRUE)
a<-table.element(a, anova.xdf$Df[2],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[2], digits=3),,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/var/wessaorg/rcomp/tmp/2gxf61352162499.tab") 
postscript(file="/var/wessaorg/rcomp/tmp/34vpc1352162499.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
boxplot(Response ~ Treatment, data=xdf, xlab=V2, ylab=V1)
dev.off()
if(intercept==TRUE){
thsd<-TukeyHSD(aov.xdf)
postscript(file="/var/wessaorg/rcomp/tmp/4acky1352162499.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(thsd)
dev.off()
}
if(intercept==TRUE){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tukey Honest Significant Difference Comparisons', 5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1, TRUE)
for(i in 1:4){
a<-table.element(a,colnames(thsd[[1]])[i], 1, TRUE)
}
a<-table.row.end(a)
for(i in 1:length(rownames(thsd[[1]]))){
a<-table.row.start(a)
a<-table.element(a,rownames(thsd[[1]])[i], 1, TRUE)
for(j in 1:4){
a<-table.element(a,round(thsd[[1]][i,j], digits=3), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file="/var/wessaorg/rcomp/tmp/5357o1352162499.tab") 
}
if(intercept==FALSE){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'TukeyHSD Message', 1,TRUE)
a<-table.row.end(a)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Must Include Intercept to use Tukey Test ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/var/wessaorg/rcomp/tmp/60x5g1352162499.tab") 
}
library(car)
lt.lmxdf<-levene.test(lmxdf)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Levenes Test for Homogeneity of Variance', 4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
for (i in 1:3){
a<-table.element(a,names(lt.lmxdf)[i], 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Group', 1, TRUE)
for (i in 1:3){
a<-table.element(a,round(lt.lmxdf[[i]][1], digits=3), 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
a<-table.element(a,lt.lmxdf[[1]][2], 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/var/wessaorg/rcomp/tmp/7cvi41352162499.tab") 

try(system("convert tmp/34vpc1352162499.ps tmp/34vpc1352162499.png",intern=TRUE))
try(system("convert tmp/4acky1352162499.ps tmp/4acky1352162499.png",intern=TRUE))