R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- array(list(1,-7,1,1,1,0,1,110,1,1,1,0,1,5,1,1,1,0,1,0,1,0,1,5,1,0,1,-2,1,2,1,2,1,0,1,0,1,-5,1,-2,1,-1,1,-4,1,1,1,2,1,0,1,1,1,-3,1,-1,1,-1,1,-2,1,-1,1,-1,1,-1,1,1,1,0,1,5,1,1,1,-1,1,-1,1,-5,1,0,1,0,1,2,1,-1,1,0,1,1,1,0,1,0,1,0,1,0,1,0,1,1,1,-2,1,-1,1,-2,1,0,1,-4,1,2,1,1,1,0,1,0,1,0,1,0,1,0,1,0,1,-1,1,-3,1,-3,1,0,1,-2,1,1,1,2,1,1,1,2,1,0,1,0,1,-4,1,-3,1,1,1,0,1,-2,1,-4,1,-1,1,-1,1,0,1,-1,1,-1,1,0,1,-1,1,0,1,-3,1,-4,1,0,1,-5,1,-4,1,-1,1,0,1,0,1,-1,2,0,2,2,2,0,2,1,2,4,2,0,2,-1,2,5,2,9,2,-1,2,5,2,1,2,4,2,-1,2,-2,2,-3,2,1,2,0,2,-2,2,2,2,0,2,2,2,-3,2,3,2,-1,2,5,2,-1,2,1,2,-5,2,1,2,1,2,9,2,5,2,1,2,-4,2,0,2,1,2,1,2,1,2,2,2,4,2,-2,2,2,2,2,2,-1,2,-2,2,0,2,6,2,0,2,0,2,0,2,-2,2,1,2,1,2,-1,2,4,2,2,2,1,2,1,2,-2,2,2,2,-2,2,4,2,-1,2,2,2,-1,2,-1,2,0,2,2,2,-3,2,1,2,1,2,0,2,-2,2,0,2,-1,2,5,2,-3,2,-3,2,-3,2,1,2,2),dim=c(2,181),dimnames=list(c('Gender','Difference'),1:181))
>  y <- array(NA,dim=c(2,181),dimnames=list(c('Gender','Difference'),1:181))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par3 = 'FALSE'
> par2 = '2'
> par1 = '1'
> ylab = 'Y'
> xlab = 'X'
> main = 'TDifference between M and F self-reports'
> par3 <- 'FALSE'
> par2 <- '2'
> par1 <- '1'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: aston2
> #To cite this work: Ian E. Holliday, 2012, One-Way-Between-Groups ANOVA (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/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] "Gender"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Difference"
> 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 - 1, data = xdf)

Coefficients:
 Treatment-1   Treatment-2   Treatment-3   Treatment-4   Treatment-5  
       1.379         1.533         1.545         1.143         1.250  
 Treatment-7    Treatment0    Treatment1  Treatment110    Treatment2  
       1.000         1.271         1.567         1.000         1.611  
  Treatment3    Treatment4    Treatment5    Treatment6    Treatment9  
       2.000         2.000         1.625         2.000         2.000  

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

Terms:
                Treatment Residuals
Sum of Squares   389.1061   37.8939
Deg. of Freedom        15       166

Residual standard error: 0.4777832 
Estimated effects are balanced
> (anova.xdf<-anova(lmxdf) )
Analysis of Variance Table

Response: Response
           Df Sum Sq Mean Sq F value    Pr(>F)    
Treatment  15 389.11 25.9404  113.64 < 2.2e-16 ***
Residuals 166  37.89  0.2283                      
---
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/1409n1338546453.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/2vrkn1338546453.tab") 
> postscript(file="/var/wessaorg/rcomp/tmp/3igvs1338546453.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="/var/wessaorg/rcomp/tmp/4qy571338546453.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ plot(thsd)
+ dev.off()
+ }
> 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/53fd71338546453.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/6src61338546453.tab") 
+ }
> library(car)
Loading required package: MASS
Loading required package: nnet
Loading required package: survival
Loading required package: splines
> 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="/var/wessaorg/rcomp/tmp/79jsc1338546453.tab") 
> 
> try(system("convert tmp/3igvs1338546453.ps tmp/3igvs1338546453.png",intern=TRUE))
character(0)
> try(system("convert tmp/4qy571338546453.ps tmp/4qy571338546453.png",intern=TRUE))
convert: unable to open image `tmp/4qy571338546453.ps': No such file or directory @ blob.c/OpenBlob/2480.
convert: missing an image filename `tmp/4qy571338546453.png' @ convert.c/ConvertImageCommand/2838.
character(0)
Warning message:
running command 'convert tmp/4qy571338546453.ps tmp/4qy571338546453.png' had status 1 
> 
> 
> proc.time()
   user  system elapsed 
  0.770   0.179   0.943