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(1,36,2,56,2,48,2,32,1,44,2,39,2,34,3,41,3,50,1,39,3,62,2,52,3,37,2,50,1,41,2,55,2,41,3,56,2,39,1,52,2,46,2,44,2,41,3,50,3,50,2,44,1,52,2,54,2,44,3,52,2,37,3,52,3,50,1,36,1,50,3,52,3,55,2,31,1,36,1,49,1,42,2,37,2,41,1,30,1,52,3,30,1,44,2,66,3,48,2,43,2,57,1,46,3,54,3,48,2,48,1,62,3,58,2,58,2,62,2,46,1,34,2,66,3,52,2,55,1,55,3,57,1,56,2,55,3,56,1,54,3,55,2,46,1,52,2,32,1,44,2,46,2,59,3,46,3,46,3,54,3,66,2,56,2,59,2,57,3,52,1,48,1,44,2,41,1,50,3,48,2,48,2,59,2,46,2,54,2,55,3,54,2,59,2,44,3,54,3,52,3,66,2,44,2,57,1,39,3,60,2,45,2,41,2,50,2,39,2,43,1,48,2,37,2,58,1,46,1,43,2,44,3,34,1,30,3,50,1,39,2,37,2,55,1,39,3,36,2,43,3,50,2,55,2,43,3,60,2,48,3,30,2,43,1,39,2,52,1,39,1,39,1,56,1,59,2,46,2,57,2,50,1,54,3,50,3,60,3,59,2,41,1,48,2,59,3,60,2,56,1,51),dim=c(2,151),dimnames=list(c('MWARM30','MC30VRB


'),1:151))
>  y <- array(NA,dim=c(2,151),dimnames=list(c('MWARM30','MC30VRB


'),1:151))
>  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'
> par3 <- 'TRUE'
> par2 <- '2'
> par1 <- '1'
> 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])
[1] "MWARM30"
> (V2<-dimnames(y)[[1]][cat2])
[1] "MC30VRB\r\r\r"
> names(xdf)<-c('Response', 'Treatment')
> if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) )

Call:
lm(formula = Response ~ Treatment, data = xdf)

Coefficients:
(Intercept)  Treatment31  Treatment32  Treatment34  Treatment36  Treatment37  
  2.000e+00    9.848e-17    6.298e-17    1.088e-16   -5.000e-01    2.000e-01  
Treatment39  Treatment41  Treatment42  Treatment43  Treatment44  Treatment45  
 -7.000e-01    1.363e-16   -1.000e+00   -1.667e-01   -4.000e-01    3.234e-17  
Treatment46  Treatment48  Treatment49  Treatment50  Treatment51  Treatment52  
  9.198e-17    1.173e-16   -1.000e+00    4.167e-01   -1.000e+00    1.667e-01  
Treatment54  Treatment55  Treatment56  Treatment57  Treatment58  Treatment59  
  2.500e-01    1.111e-01    4.715e-17    2.000e-01    3.333e-01   -3.404e-17  
Treatment60  Treatment62  Treatment66  
  1.000e+00    2.041e-16    5.000e-01  

> (aov.xdf<-aov(lmxdf) )
Call:
   aov(formula = lmxdf)

Terms:
                Treatment Residuals
Sum of Squares   19.40129  62.57222
Deg. of Freedom        26       124

Residual standard error: 0.7103624 
Estimated effects may be unbalanced
> (anova.xdf<-anova(lmxdf) )
Analysis of Variance Table

Response: Response
           Df Sum Sq Mean Sq F value  Pr(>F)  
Treatment  26 19.401 0.74620  1.4788 0.08115 .
Residuals 124 62.572 0.50461                  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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/fisher/rcomp/tmp/1604r1352163767.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/fisher/rcomp/tmp/2fgn31352163767.tab") 
> postscript(file="/var/fisher/rcomp/tmp/3yhep1352163767.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(Response ~ Treatment, data=xdf, xlab=V2, ylab=V1)
Warning messages:
1: In title(xlab = "MC30VRB\r\r\r", ylab = "MWARM30") :
  font width unknown for character 0xd
2: In title(xlab = "MC30VRB\r\r\r", ylab = "MWARM30") :
  font width unknown for character 0xd
3: In title(xlab = "MC30VRB\r\r\r", ylab = "MWARM30") :
  font width unknown for character 0xd
> dev.off()
null device 
          1 
> if(intercept==TRUE){
+ 'Tukey Plot'
+ thsd<-TukeyHSD(aov.xdf)
+ postscript(file="/var/fisher/rcomp/tmp/4rvco1352163767.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ plot(thsd)
+ dev.off()
+ }
null device 
          1 
> 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/fisher/rcomp/tmp/5x5bg1352163767.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/fisher/rcomp/tmp/6l9ud1352163767.tab") 
+ }
> library(car)
Loading required package: MASS
Loading required package: nnet
> lt.lmxdf<-leveneTest(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/fisher/rcomp/tmp/7rybe1352163767.tab") 
> 
> try(system("convert tmp/3yhep1352163767.ps tmp/3yhep1352163767.png",intern=TRUE))
character(0)
> try(system("convert tmp/4rvco1352163767.ps tmp/4rvco1352163767.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  4.415   0.308   4.709