R version 3.4.3 (2017-11-30) -- "Kite-Eating Tree"
Copyright (C) 2017 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> source('/home/pw/wessanet/cretab')
>
>
>
> myrfcuid = 'account3'
>
> x <- array(list(0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'B'",0,"'S'",1,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'B'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",1,"'S'",0,"'S'",1,"'B'",1,"'S'",0,"'S'",1,"'B'",1,"'B'",1,"'S'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",1,"'S'",0,"'S'",1,"'B'",1,"'B'",1,"'B'",1,"'B'",1,"'B'",1,"'B'",1,"'B'",0,"'S'",0,"'S'",1,"'B'",0,"'S'",1,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'S'",1,"'B'",1,"'S'",0,"'S'",1,"'B'",1,"'B'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",1,"'S'",0,"'S'",1,"'B'",0,"'S'",0,"'S'",1,"'S'",0,"'S'",0,"'S'",0,"'S'",1,"'B'",0,"'S'",1,"'B'",0,"'S'",1,"'B'",1,"'S'",0,"'S'",1,"'B'",0,"'S'",1,"'B'",1,"'B'",1,"'B'",1,"'B'",0,"'S'",1,"'B'",1,"'B'",1,"'B'",1,"'B'",1,"'B'",1,"'B'",0,"'S'",1,"'B'",1,"'B'",1,"'B'",1,"'B'",1,"'S'",1,"'B'",1,"'B'",1,"'B'",0,"'S'",0,"'S'",0,"'S'",1,"'B'",1,"'B'",1,"'S'",1,"'S'",1,"'B'",1,"'S'",1,"'B'",1,"'B'",0,"'S'",1,"'B'",0,"'S'",0,"'S'",1,"'B'",1,"'B'",0,"'S'",0,"'S'",0,"'S'",0,"'B'",0,"'S'",0,"'S'",1,"'B'",1,"'B'"),dim=c(2,179),dimnames=list(c('spssC','groupC'),1:179))
>  y <- array(NA,dim=c(2,179),dimnames=list(c('spssC','groupC'),1:179))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
There were 50 or more warnings (use warnings() to see the first 50)
> par3 = 'TRUE'
> par2 = '2'
> par1 = '1'
> ylab = 'Y Variable Name'
> xlab = 'X Variable Name'
> main = 'Title Goes Here'
> par3 <- 'TRUE'
> par2 <- '2'
> par1 <- '1'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Sun, 16 Jul 2017 09:52:59 +0200)
> #Author: root
> #To cite this work: Ian E. Holliday (2017), One-Way-Between-Groups ANOVA (v1.0.6) in Free Statistics Software (v$_version), Office for Research Development and Education, URL https://www.wessa.net/rwasp_One%20Factor%20ANOVA.wasp/
> #Source of accompanying publication:
> #
> 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] "spssC"
> (V2<-dimnames(y)[[1]][cat2])
[1] "groupC"
> 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)  Treatment'S'
      0.9592       -0.7207

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

Terms:
                Treatment Residuals
Sum of Squares   18.48511  25.52606
Deg. of Freedom         1       177

Residual standard error: 0.3797565
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   1 18.485 18.4851  128.18 < 2.2e-16 ***
Residuals 177 25.526  0.1442
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
>
> 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="/home/pw/wessanet/rcomp/tmp/1ep9j1516787005.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="/home/pw/wessanet/rcomp/tmp/2jxd31516787005.tab")
> postscript(file="/home/pw/wessanet/rcomp/tmp/3cwo81516787005.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){
+ 'Tukey Plot'
+ thsd<-TukeyHSD(aov.xdf)
+ postscript(file="/home/pw/wessanet/rcomp/tmp/43suu1516787005.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="/home/pw/wessanet/rcomp/tmp/541j61516787005.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="/home/pw/wessanet/rcomp/tmp/6r5ig1516787005.tab")
+ }
> library(car)
> 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="/home/pw/wessanet/rcomp/tmp/7trq61516787005.tab")
>
> try(system("convert /home/pw/wessanet/rcomp/tmp/3cwo81516787005.ps /home/pw/wessanet/rcomp/tmp/3cwo81516787005.png",intern=TRUE))
character(0)
> try(system("convert /home/pw/wessanet/rcomp/tmp/43suu1516787005.ps /home/pw/wessanet/rcomp/tmp/43suu1516787005.png",intern=TRUE))
character(0)
>
> proc.time()
   user  system elapsed
  5.864   0.552  12.392