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)

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> x <- array(list(88
+ ,86
+ ,94
+ ,86
+ ,90
+ ,103
+ ,73
+ ,74
+ ,68
+ ,63
+ ,80
+ ,82
+ ,86
+ ,93
+ ,86
+ ,77
+ ,91
+ ,111
+ ,79
+ ,71
+ ,96
+ ,103
+ ,92
+ ,89
+ ,72
+ ,75
+ ,96
+ ,88
+ ,70
+ ,84
+ ,86
+ ,85
+ ,87
+ ,70
+ ,88
+ ,104
+ ,79
+ ,88
+ ,90
+ ,77
+ ,95
+ ,77
+ ,85
+ ,72
+ ,90
+ ,83
+ ,115
+ ,110
+ ,84
+ ,91
+ ,79
+ ,80
+ ,94
+ ,91
+ ,97
+ ,86
+ ,86
+ ,85
+ ,111
+ ,107
+ ,87
+ ,93
+ ,98
+ ,87
+ ,87
+ ,84
+ ,68
+ ,73
+ ,88
+ ,84
+ ,82
+ ,86
+ ,111
+ ,99
+ ,75
+ ,75
+ ,94
+ ,87
+ ,95
+ ,79
+ ,80
+ ,82
+ ,95
+ ,95
+ ,68
+ ,84
+ ,94
+ ,85
+ ,88
+ ,95
+ ,84
+ ,63
+ ,101
+ ,85
+ ,98
+ ,86
+ ,78
+ ,75
+ ,109
+ ,98
+ ,102
+ ,71
+ ,81
+ ,63
+ ,97
+ ,71
+ ,75
+ ,84
+ ,97
+ ,81
+ ,101
+ ,79
+ ,101
+ ,63
+ ,95
+ ,93
+ ,95
+ ,92
+ ,95
+ ,83
+ ,90
+ ,80
+ ,107
+ ,111
+ ,92
+ ,92
+ ,86
+ ,79
+ ,70
+ ,69
+ ,95
+ ,83
+ ,96
+ ,80
+ ,91
+ ,91
+ ,87
+ ,97
+ ,92
+ ,85
+ ,97
+ ,85
+ ,102
+ ,99
+ ,91
+ ,67
+ ,68
+ ,87
+ ,88
+ ,68
+ ,97
+ ,81
+ ,90
+ ,80
+ ,101
+ ,93
+ ,94
+ ,93
+ ,101
+ ,102
+ ,109
+ ,104
+ ,100
+ ,90
+ ,103
+ ,85
+ ,94
+ ,92
+ ,97
+ ,82
+ ,85
+ ,85
+ ,75
+ ,89
+ ,77
+ ,77
+ ,87
+ ,79
+ ,78
+ ,76
+ ,108
+ ,101
+ ,97
+ ,81
+ ,105
+ ,92
+ ,106
+ ,89
+ ,107
+ ,81
+ ,95
+ ,77
+ ,107
+ ,95
+ ,115
+ ,85
+ ,101
+ ,81
+ ,85
+ ,76
+ ,90
+ ,93
+ ,115
+ ,104
+ ,95
+ ,89
+ ,97
+ ,76
+ ,112
+ ,77
+ ,97
+ ,71
+ ,77
+ ,79
+ ,90
+ ,89
+ ,94
+ ,81
+ ,103
+ ,99
+ ,77
+ ,81
+ ,98
+ ,84
+ ,90
+ ,85
+ ,111
+ ,111
+ ,77
+ ,78
+ ,88
+ ,111
+ ,75
+ ,78
+ ,92
+ ,87
+ ,78
+ ,92
+ ,106
+ ,93
+ ,80
+ ,70
+ ,87
+ ,84
+ ,92
+ ,75
+ ,111
+ ,96
+ ,86
+ ,85
+ ,85
+ ,87
+ ,90
+ ,75
+ ,101
+ ,103
+ ,94
+ ,86
+ ,86
+ ,77
+ ,86
+ ,74
+ ,90
+ ,74
+ ,75
+ ,76
+ ,86
+ ,83
+ ,91
+ ,101
+ ,97
+ ,83
+ ,91
+ ,92
+ ,70
+ ,74
+ ,98
+ ,87
+ ,96
+ ,71
+ ,95
+ ,79
+ ,100
+ ,83
+ ,95
+ ,80
+ ,97
+ ,90
+ ,97
+ ,80
+ ,92
+ ,96
+ ,115
+ ,109
+ ,88
+ ,98
+ ,87
+ ,85
+ ,100
+ ,83
+ ,98
+ ,86
+ ,102
+ ,72
+ ,96
+ ,75)
+ ,dim=c(2
+ ,153)
+ ,dimnames=list(c('MVRBIQ0'
+ ,'WISCRY7V')
+ ,1:153))
>  y <- array(NA,dim=c(2,153),dimnames=list(c('MVRBIQ0','WISCRY7V'),1:153))
>  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"
> 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)  Treatment102  Treatment103  Treatment104  Treatment107  
      99.500         1.500        -3.833         4.500        11.500  
Treatment109  Treatment110  Treatment111   Treatment63   Treatment67  
      15.500        15.500        -0.250       -16.000        -8.500  
 Treatment68   Treatment69   Treatment70   Treatment71   Treatment72  
     -11.500       -29.500       -16.000        -5.300        -6.000  
 Treatment73   Treatment74   Treatment75   Treatment76   Treatment77  
     -31.500       -19.750       -15.667       -15.750        -7.929  
 Treatment78   Treatment79   Treatment80   Treatment81   Treatment82  
     -23.500        -9.333        -8.333        -3.786       -13.833  
 Treatment83   Treatment84   Treatment85   Treatment86   Treatment87  
      -4.786       -17.643        -6.000        -6.500       -10.333  
 Treatment88   Treatment89   Treatment90   Treatment91   Treatment92  
     -12.000        -7.900        -1.000        -9.833        -7.000  
 Treatment93   Treatment95   Treatment96   Treatment97   Treatment98  
      -5.357        -2.833         2.000       -12.500        -1.000  
 Treatment99  
       5.833  

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

Terms:
                Treatment Residuals
Sum of Squares   7764.739  9832.202
Deg. of Freedom        40       112

Residual standard error: 9.3695 
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  40 7764.7 194.118  2.2112 0.0005963 ***
Residuals 112 9832.2  87.788                      
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
> 
> #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/1eag41351776690.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/2jmdd1351776690.tab") 
> postscript(file="/var/wessaorg/rcomp/tmp/3s26p1351776690.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()
null device 
          1 
> if(intercept==TRUE){
+ thsd<-TukeyHSD(aov.xdf)
+ postscript(file="/var/wessaorg/rcomp/tmp/4skh71351776690.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/wessaorg/rcomp/tmp/5rhem1351776690.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/6qegl1351776690.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/wessaorg/rcomp/tmp/77iel1351776690.tab") 
> 
> try(system("convert tmp/3s26p1351776690.ps tmp/3s26p1351776690.png",intern=TRUE))
character(0)
> try(system("convert tmp/4skh71351776690.ps tmp/4skh71351776690.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
 17.624   0.432  18.055