R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(2,88,2,94,3,90,1,73,1,68,2,80,2,86,1,86,3,91,1,79,3,96,2,92,1,72,2,96,2,70,2,86,1,87,3,88,2,79,1,90,1,95,1,85,2,90,3,115,2,84,2,79,2,94,2,97,2,86,3,111,2,87,2,98,2,87,1,68,2,88,2,82,3,111,1,75,2,94,1,95,2,80,2,95,2,68,2,94,2,88,1,84,2,101,2,98,1,78,3,109,1,102,1,81,1,97,2,75,2,97,1,101,1,101,2,95,2,95,2,95,2,90,3,107,2,92,1,86,1,70,2,95,2,96,2,91,3,87,2,92,2,97,3,102,1,91,2,68,1,88,2,97,2,90,2,101,2,94,3,101,3,109,2,100,2,103,2,94,2,97,2,85,2,75,1,77,1,87,1,78,3,108,2,97,2,105,2,106,2,107,1,95,3,107,2,115,2,101,1,85,2,90,3,115,2,95,1,97,1,112,1,97,1,77,2,90,2,94,3,103,2,77,2,98,2,90,3,111,1,77,3,88,1,75,2,92,2,78,2,106,1,80,2,87,1,92,2,86,2,85,1,90,3,101,2,94,1,86,1,86,1,90,1,75,2,86,3,91,2,97,2,91,1,70,2,98,1,96,1,95,2,100,2,95,2,97,2,97,3,92,3,115,3,88,2,87,2,100,2,98,1,102,1,96),dim=c(2,152),dimnames=list(c('MVRBIQ0','WISCRY7V
'),1:152))
>  y <- array(NA,dim=c(2,152),dimnames=list(c('MVRBIQ0','WISCRY7V
'),1:152))
>  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])
[1] "MVRBIQ0"
> (V2<-dimnames(y)[[1]][cat2])
[1] "WISCRY7V\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)  Treatment101  Treatment102  Treatment103  Treatment105  
   2.000e+00    -4.140e-16    -3.333e-01     5.000e-01    -3.847e-16  
Treatment106  Treatment107  Treatment108  Treatment109  Treatment111  
  -3.868e-16     6.667e-01     1.000e+00     1.000e+00     1.000e+00  
Treatment112  Treatment115   Treatment68   Treatment70   Treatment72  
  -1.000e+00     7.500e-01    -5.000e-01    -6.667e-01    -1.000e+00  
 Treatment73   Treatment75   Treatment77   Treatment78   Treatment79  
  -1.000e+00    -6.000e-01    -7.500e-01    -6.667e-01    -3.333e-01  
 Treatment80   Treatment81   Treatment82   Treatment84   Treatment85  
  -3.333e-01    -1.000e+00    -3.925e-16    -5.000e-01    -5.000e-01  
 Treatment86   Treatment87   Treatment88   Treatment90   Treatment91  
  -4.444e-01    -1.429e-01     2.857e-01    -2.000e-01     2.000e-01  
 Treatment92   Treatment94   Treatment95   Treatment96   Treatment97  
  -5.005e-16    -4.114e-16    -3.636e-01    -2.000e-01    -2.500e-01  
 Treatment98  
  -4.358e-16  

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

Terms:
                Treatment Residuals
Sum of Squares   26.61240  40.20339
Deg. of Freedom        35       116

Residual standard error: 0.5887113 
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  35 26.612 0.76035  2.1939 0.0009636 ***
Residuals 116 40.203 0.34658                      
---
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/16mxn1351893261.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/2f9vp1351893261.tab") 
> postscript(file="/var/fisher/rcomp/tmp/3supi1351893261.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 message:
In title(xlab = "WISCRY7V\r", ylab = "MVRBIQ0") :
  font width unknown for character 0xd
> dev.off()
null device 
          1 
> if(intercept==TRUE){
+ thsd<-TukeyHSD(aov.xdf)
+ postscript(file="/var/fisher/rcomp/tmp/4rsv31351893261.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/5r9xq1351893261.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/6giss1351893261.tab") 
+ }
> library(car)
Loading required package: MASS
Loading required package: nnet
> lt.lmxdf<-levene.test(lmxdf)
Warning message:
'levene.test' is deprecated.
Use 'leveneTest' instead.
See help("Deprecated") and help("car-deprecated"). 
> 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/71fdm1351893261.tab") 
> 
> try(system("convert tmp/3supi1351893261.ps tmp/3supi1351893261.png",intern=TRUE))
character(0)
> try(system("convert tmp/4rsv31351893261.ps tmp/4rsv31351893261.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
 10.277   0.405  10.669