R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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(67
+ ,0
+ ,86
+ ,88
+ ,86
+ ,94
+ ,103
+ ,90
+ ,74
+ ,73
+ ,63
+ ,68
+ ,82
+ ,80
+ ,93
+ ,86
+ ,77
+ ,86
+ ,111
+ ,91
+ ,71
+ ,79
+ ,103
+ ,96
+ ,89
+ ,92
+ ,75
+ ,72
+ ,88
+ ,96
+ ,84
+ ,70
+ ,85
+ ,86
+ ,70
+ ,87
+ ,104
+ ,88
+ ,88
+ ,79
+ ,77
+ ,90
+ ,77
+ ,95
+ ,72
+ ,85
+ ,70
+ ,0
+ ,83
+ ,90
+ ,110
+ ,115
+ ,91
+ ,84
+ ,80
+ ,79
+ ,91
+ ,94
+ ,86
+ ,97
+ ,85
+ ,86
+ ,107
+ ,111
+ ,93
+ ,87
+ ,87
+ ,98
+ ,84
+ ,87
+ ,73
+ ,68
+ ,84
+ ,88
+ ,86
+ ,82
+ ,99
+ ,111
+ ,75
+ ,75
+ ,87
+ ,94
+ ,79
+ ,95
+ ,82
+ ,80
+ ,95
+ ,95
+ ,84
+ ,68
+ ,85
+ ,94
+ ,95
+ ,88
+ ,63
+ ,84
+ ,78
+ ,0
+ ,85
+ ,101
+ ,86
+ ,98
+ ,75
+ ,78
+ ,98
+ ,109
+ ,71
+ ,102
+ ,63
+ ,81
+ ,71
+ ,97
+ ,84
+ ,75
+ ,81
+ ,97
+ ,93
+ ,0
+ ,79
+ ,101
+ ,63
+ ,101
+ ,93
+ ,95
+ ,92
+ ,95
+ ,93
+ ,0
+ ,83
+ ,95
+ ,80
+ ,90
+ ,111
+ ,107
+ ,92
+ ,92
+ ,79
+ ,86
+ ,69
+ ,70
+ ,83
+ ,95
+ ,80
+ ,96
+ ,91
+ ,91
+ ,97
+ ,87
+ ,85
+ ,92
+ ,85
+ ,97
+ ,99
+ ,102
+ ,67
+ ,91
+ ,87
+ ,68
+ ,68
+ ,88
+ ,81
+ ,97
+ ,80
+ ,90
+ ,93
+ ,101
+ ,93
+ ,94
+ ,102
+ ,101
+ ,104
+ ,109
+ ,90
+ ,100
+ ,85
+ ,103
+ ,92
+ ,94
+ ,82
+ ,97
+ ,85
+ ,85
+ ,89
+ ,75
+ ,77
+ ,77
+ ,79
+ ,87
+ ,76
+ ,78
+ ,101
+ ,108
+ ,81
+ ,97
+ ,92
+ ,105
+ ,89
+ ,106
+ ,81
+ ,107
+ ,77
+ ,95
+ ,95
+ ,107
+ ,85
+ ,115
+ ,81
+ ,101
+ ,76
+ ,85
+ ,93
+ ,90
+ ,104
+ ,115
+ ,89
+ ,95
+ ,76
+ ,97
+ ,77
+ ,112
+ ,71
+ ,97
+ ,79
+ ,77
+ ,89
+ ,90
+ ,81
+ ,94
+ ,99
+ ,103
+ ,81
+ ,77
+ ,84
+ ,98
+ ,85
+ ,90
+ ,111
+ ,111
+ ,78
+ ,77
+ ,111
+ ,88
+ ,78
+ ,75
+ ,87
+ ,92
+ ,92
+ ,78
+ ,93
+ ,106
+ ,70
+ ,80
+ ,84
+ ,87
+ ,75
+ ,92
+ ,105
+ ,0
+ ,96
+ ,111
+ ,85
+ ,86
+ ,87
+ ,85
+ ,75
+ ,90
+ ,103
+ ,101
+ ,86
+ ,94
+ ,77
+ ,86
+ ,74
+ ,86
+ ,74
+ ,90
+ ,76
+ ,75
+ ,83
+ ,86
+ ,101
+ ,91
+ ,83
+ ,97
+ ,92
+ ,91
+ ,74
+ ,70
+ ,87
+ ,98
+ ,71
+ ,96
+ ,79
+ ,95
+ ,83
+ ,100
+ ,80
+ ,95
+ ,90
+ ,97
+ ,80
+ ,97
+ ,96
+ ,92
+ ,109
+ ,115
+ ,98
+ ,88
+ ,85
+ ,87
+ ,83
+ ,100
+ ,86
+ ,98
+ ,72
+ ,102
+ ,83
+ ,0
+ ,75
+ ,96)
+ ,dim=c(2
+ ,160)
+ ,dimnames=list(c('mviq'
+ ,'wiscvriq7')
+ ,1:160))
>  y <- array(NA,dim=c(2,160),dimnames=list(c('mviq','wiscvriq7'),1:160))
>  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 = 'childs iq'
> xlab = 'mothers verbal iq'
> main = 'mothers verbal iq and childs-year7'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, STARS Bullying Study (v1.0.1) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/Ian.Holliday/rwasp_STARS_Bullying_Study_alt.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> 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] "mviq"
> (V2<-dimnames(y)[[1]][cat2])
[1] "wiscvriq7"
> 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)  Treatment100  Treatment101  Treatment102  Treatment103  
     84.1429        1.1905        2.4286       -3.4762        7.8571  
Treatment105  Treatment106  Treatment107  Treatment108  Treatment109  
      7.8571        6.8571       11.5238       16.8571       16.8571  
Treatment111  Treatment112  Treatment115   Treatment68   Treatment70  
     19.1071       -7.1429       17.8571       -7.3929       -8.4762  
 Treatment72   Treatment73   Treatment75   Treatment77   Treatment78  
     -9.1429      -10.1429       -3.7429       -5.3929       -3.1429  
 Treatment79   Treatment80   Treatment81   Treatment82   Treatment84  
     -4.4762       -6.1429      -21.1429        1.8571       -7.1429  
 Treatment85   Treatment86   Treatment87   Treatment88   Treatment90  
     -4.1429       -2.1429        0.4286        8.1429       -0.2429  
 Treatment91   Treatment92   Treatment94   Treatment95   Treatment96  
      8.2571        3.1905        3.4821        0.1299       -0.7429  
 Treatment97   Treatment98  
     -3.5595        1.8571  

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

Terms:
                Treatment Residuals
Sum of Squares   7052.139 11172.104
Deg. of Freedom        36       123

Residual standard error: 9.530484 
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  36  7052.1   195.9  2.1567 0.001002 **
Residuals 123 11172.1    90.8                    
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/www/html/rcomp/tmp/1j2fr1260832208.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/www/html/rcomp/tmp/2nuv31260832208.tab") 
> postscript(file="/var/www/html/rcomp/tmp/3urby1260832208.ps",horizontal=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/www/html/rcomp/tmp/4rk121260832208.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ plot(thsd)
+ dev.off()
+ 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/www/html/rcomp/tmp/5tgxj1260832208.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/www/html/rcomp/tmp/6q1vp1260832208.tab") 
+ }
> library(car)
> lt.lmxdf<-levene.test(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/www/html/rcomp/tmp/7sdv51260832208.tab") 
> 
> try(system("convert tmp/3urby1260832208.ps tmp/3urby1260832208.png",intern=TRUE))
character(0)
> try(system("convert tmp/4rk121260832208.ps tmp/4rk121260832208.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  7.878   0.597   8.243