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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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- array(list(88
+ ,36
+ ,94
+ ,56
+ ,90
+ ,48
+ ,73
+ ,32
+ ,68
+ ,44
+ ,80
+ ,39
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+ ,96
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+ ,72
+ ,37
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+ ,50
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+ ,41
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+ ,56
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+ ,39
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+ ,52
+ ,95
+ ,46
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+ ,48
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+ ,41
+ ,115
+ ,50
+ ,84
+ ,50
+ ,79
+ ,44
+ ,94
+ ,52
+ ,97
+ ,54
+ ,86
+ ,44
+ ,111
+ ,52
+ ,87
+ ,37
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+ ,52
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+ ,50
+ ,68
+ ,36
+ ,88
+ ,50
+ ,82
+ ,52
+ ,111
+ ,55
+ ,75
+ ,31
+ ,94
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+ ,80
+ ,42
+ ,95
+ ,37
+ ,68
+ ,41
+ ,94
+ ,30
+ ,88
+ ,52
+ ,84
+ ,30
+ ,41
+ ,101
+ ,44
+ ,98
+ ,66
+ ,78
+ ,48
+ ,109
+ ,43
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+ ,57
+ ,81
+ ,46
+ ,97
+ ,54
+ ,75
+ ,48
+ ,97
+ ,48
+ ,101
+ ,62
+ ,101
+ ,58
+ ,95
+ ,58
+ ,95
+ ,62
+ ,95
+ ,46
+ ,90
+ ,34
+ ,107
+ ,66
+ ,92
+ ,52
+ ,86
+ ,55
+ ,70
+ ,55
+ ,95
+ ,57
+ ,96
+ ,56
+ ,91
+ ,55
+ ,87
+ ,56
+ ,92
+ ,54
+ ,97
+ ,55
+ ,102
+ ,46
+ ,91
+ ,52
+ ,68
+ ,32
+ ,88
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+ ,90
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+ ,101
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+ ,46
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+ ,54
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+ ,59
+ ,94
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+ ,97
+ ,52
+ ,85
+ ,48
+ ,75
+ ,44
+ ,77
+ ,41
+ ,87
+ ,50
+ ,78
+ ,48
+ ,108
+ ,48
+ ,97
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+ ,105
+ ,34
+ ,106
+ ,46
+ ,107
+ ,54
+ ,95
+ ,55
+ ,107
+ ,54
+ ,115
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+ ,54
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+ ,115
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+ ,44
+ ,97
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+ ,112
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+ ,45
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+ ,41
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+ ,39
+ ,77
+ ,43
+ ,98
+ ,48
+ ,90
+ ,37
+ ,111
+ ,58
+ ,77
+ ,46
+ ,88
+ ,43
+ ,75
+ ,44
+ ,92
+ ,34
+ ,78
+ ,30
+ ,106
+ ,50
+ ,80
+ ,39
+ ,87
+ ,37
+ ,92
+ ,55
+ ,48
+ ,111
+ ,41
+ ,86
+ ,39
+ ,85
+ ,36
+ ,90
+ ,43
+ ,101
+ ,50
+ ,94
+ ,55
+ ,86
+ ,43
+ ,86
+ ,60
+ ,90
+ ,48
+ ,75
+ ,30
+ ,86
+ ,43
+ ,91
+ ,39
+ ,97
+ ,52
+ ,91
+ ,39
+ ,70
+ ,39
+ ,98
+ ,56
+ ,96
+ ,59
+ ,95
+ ,46
+ ,100
+ ,57
+ ,95
+ ,50
+ ,97
+ ,54
+ ,97
+ ,50
+ ,92
+ ,60
+ ,115
+ ,59
+ ,88
+ ,41
+ ,87
+ ,48
+ ,100
+ ,59
+ ,98
+ ,60
+ ,102
+ ,56
+ ,96
+ ,51)
+ ,dim=c(2
+ ,156)
+ ,dimnames=list(c('WISCRY7V'
+ ,'MC30VRB')
+ ,1:156))
>  y <- array(NA,dim=c(2,156),dimnames=list(c('WISCRY7V','MC30VRB'),1:156))
>  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] "WISCRY7V"
> (V2<-dimnames(y)[[1]][cat2])
[1] "MC30VRB"
> 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  Treatment111  Treatment115  
      47.000        -4.000        13.000         1.000         3.500  
 Treatment30   Treatment32   Treatment34   Treatment36   Treatment37  
      31.000        23.500        46.250        41.000        36.000  
 Treatment39   Treatment41   Treatment43   Treatment44   Treatment45  
      41.833        26.333        44.333        39.000        30.000  
 Treatment46   Treatment48   Treatment50   Treatment52   Treatment54  
      47.222        41.625        47.800        45.000        51.167  
 Treatment55   Treatment56   Treatment57   Treatment58   Treatment59  
      41.143        46.000        50.000        55.333        54.250  
 Treatment60   Treatment62   Treatment66   Treatment68   Treatment70  
      50.000        50.333        60.250        -3.500        -8.000  
 Treatment75   Treatment79   Treatment80   Treatment82   Treatment84  
       4.500         3.000         2.000         3.000         4.000  
 Treatment85   Treatment86   Treatment87   Treatment88   Treatment90  
      -8.000        -2.400         1.333        -3.000         1.000  
 Treatment91   Treatment92   Treatment94   Treatment95   Treatment96  
       0.500         3.000        -6.600         1.500         9.000  
 Treatment97   Treatment98  
       1.750        -2.000  

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

Terms:
                Treatment Residuals
Sum of Squares   77154.36  11945.65
Deg. of Freedom        46       109

Residual standard error: 10.46868 
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  46  77154 1677.27  15.305 < 2.2e-16 ***
Residuals 109  11946  109.59                      
---
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/19sbj1352160166.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/2yjdb1352160167.tab") 
> postscript(file="/var/wessaorg/rcomp/tmp/3umh21352160167.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/4rn4w1352160167.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/5r1xq1352160167.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/6264w1352160167.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/7668l1352160167.tab") 
> 
> try(system("convert tmp/3umh21352160167.ps tmp/3umh21352160167.png",intern=TRUE))
character(0)
> try(system("convert tmp/4rn4w1352160167.ps tmp/4rn4w1352160167.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
 31.127   0.872  31.982