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(86
+ ,36
+ ,86
+ ,56
+ ,103
+ ,48
+ ,74
+ ,32
+ ,63
+ ,44
+ ,82
+ ,39
+ ,93
+ ,34
+ ,77
+ ,41
+ ,111
+ ,50
+ ,71
+ ,39
+ ,103
+ ,62
+ ,89
+ ,52
+ ,75
+ ,37
+ ,88
+ ,50
+ ,84
+ ,41
+ ,85
+ ,55
+ ,70
+ ,41
+ ,104
+ ,56
+ ,88
+ ,39
+ ,77
+ ,52
+ ,77
+ ,46
+ ,72
+ ,44
+ ,83
+ ,41
+ ,110
+ ,50
+ ,91
+ ,50
+ ,80
+ ,44
+ ,91
+ ,52
+ ,86
+ ,54
+ ,85
+ ,44
+ ,107
+ ,52
+ ,93
+ ,37
+ ,87
+ ,52
+ ,84
+ ,50
+ ,73
+ ,36
+ ,84
+ ,50
+ ,86
+ ,52
+ ,99
+ ,55
+ ,75
+ ,31
+ ,87
+ ,36
+ ,79
+ ,49
+ ,82
+ ,42
+ ,95
+ ,37
+ ,84
+ ,41
+ ,85
+ ,30
+ ,95
+ ,52
+ ,63
+ ,30
+ ,85
+ ,44
+ ,86
+ ,66
+ ,75
+ ,48
+ ,98
+ ,43
+ ,71
+ ,57
+ ,63
+ ,46
+ ,71
+ ,54
+ ,84
+ ,48
+ ,81
+ ,48
+ ,79
+ ,62
+ ,63
+ ,58
+ ,93
+ ,58
+ ,92
+ ,62
+ ,83
+ ,46
+ ,80
+ ,34
+ ,111
+ ,66
+ ,92
+ ,52
+ ,79
+ ,55
+ ,69
+ ,55
+ ,83
+ ,57
+ ,80
+ ,56
+ ,91
+ ,55
+ ,97
+ ,56
+ ,85
+ ,54
+ ,85
+ ,55
+ ,99
+ ,46
+ ,67
+ ,52
+ ,87
+ ,32
+ ,68
+ ,44
+ ,81
+ ,46
+ ,80
+ ,59
+ ,93
+ ,46
+ ,93
+ ,46
+ ,102
+ ,54
+ ,104
+ ,66
+ ,90
+ ,56
+ ,85
+ ,59
+ ,92
+ ,57
+ ,82
+ ,52
+ ,85
+ ,48
+ ,89
+ ,44
+ ,77
+ ,41
+ ,79
+ ,50
+ ,76
+ ,48
+ ,101
+ ,48
+ ,81
+ ,59
+ ,92
+ ,34
+ ,89
+ ,46
+ ,81
+ ,54
+ ,77
+ ,55
+ ,95
+ ,54
+ ,85
+ ,59
+ ,81
+ ,44
+ ,76
+ ,54
+ ,93
+ ,52
+ ,104
+ ,66
+ ,89
+ ,44
+ ,76
+ ,57
+ ,77
+ ,39
+ ,71
+ ,60
+ ,79
+ ,45
+ ,89
+ ,41
+ ,81
+ ,50
+ ,99
+ ,39
+ ,81
+ ,43
+ ,84
+ ,48
+ ,85
+ ,37
+ ,111
+ ,58
+ ,78
+ ,46
+ ,111
+ ,43
+ ,78
+ ,44
+ ,87
+ ,34
+ ,92
+ ,30
+ ,93
+ ,50
+ ,70
+ ,39
+ ,84
+ ,37
+ ,75
+ ,55
+ ,85
+ ,39
+ ,87
+ ,36
+ ,75
+ ,43
+ ,103
+ ,50
+ ,86
+ ,55
+ ,77
+ ,43
+ ,74
+ ,60
+ ,74
+ ,48
+ ,76
+ ,30
+ ,83
+ ,43
+ ,101
+ ,39
+ ,83
+ ,52
+ ,92
+ ,39
+ ,74
+ ,39
+ ,87
+ ,56
+ ,71
+ ,59
+ ,79
+ ,46
+ ,83
+ ,57
+ ,80
+ ,50
+ ,90
+ ,54
+ ,80
+ ,50
+ ,96
+ ,60
+ ,109
+ ,59
+ ,98
+ ,41
+ ,85
+ ,48
+ ,83
+ ,59
+ ,86
+ ,60
+ ,72
+ ,56
+ ,75
+ ,51)
+ ,dim=c(2
+ ,152)
+ ,dimnames=list(c('MVRBIQ0'
+ ,'MC30VRB
')
+ ,1:152))
>  y <- array(NA,dim=c(2,152),dimnames=list(c('MVRBIQ0','MC30VRB
'),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] "MC30VRB\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  
  7.900e+01   -4.000e+00    1.500e+00    9.000e+00    4.250e+00    7.400e+00  
Treatment39  Treatment41  Treatment42  Treatment43  Treatment44  Treatment45  
  4.900e+00    3.750e+00    3.000e+00    8.500e+00    1.673e-15    1.027e-15  
Treatment46  Treatment48  Treatment49  Treatment50  Treatment51  Treatment52  
  4.500e+00    5.800e+00    2.091e-15    1.133e+01   -4.000e+00    8.417e+00  
Treatment54  Treatment55  Treatment56  Treatment57  Treatment58  Treatment59  
  6.750e+00    3.889e+00    9.000e+00    2.000e+00    1.000e+01    5.857e+00  
Treatment60  Treatment62  Treatment66  
  2.750e+00    1.233e+01    2.225e+01  

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

Terms:
                Treatment Residuals
Sum of Squares    2860.87  14113.45
Deg. of Freedom        26       125

Residual standard error: 10.6258 
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  2860.9  110.03  0.9745 0.5068
Residuals 125 14113.4  112.91               
> 
> #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/1ulnr1351889424.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/2cu8h1351889424.tab") 
> postscript(file="/var/wessaorg/rcomp/tmp/3sx2k1351889424.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 = "MC30VRB\r", ylab = "MVRBIQ0") :
  font width unknown for character 0xd
> dev.off()
null device 
          1 
> if(intercept==TRUE){
+ thsd<-TukeyHSD(aov.xdf)
+ postscript(file="/var/wessaorg/rcomp/tmp/4d5yp1351889424.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/5pa821351889424.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/6a6l01351889424.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/7fnxc1351889424.tab") 
> 
> try(system("convert tmp/3sx2k1351889424.ps tmp/3sx2k1351889424.png",intern=TRUE))
character(0)
> try(system("convert tmp/4d5yp1351889424.ps tmp/4d5yp1351889424.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  5.399   0.296   5.675