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)

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(10.17463007
+ ,14.36009776
+ ,11.70685947
+ ,11.30900293
+ ,0.336629956
+ ,12.45810893
+ ,12.81545815
+ ,13.50394283
+ ,18.48134929
+ ,7.219358341
+ ,19.15
+ ,7.381367182
+ ,11.98976509
+ ,15.26096233
+ ,15.96311694
+ ,3.165415029
+ ,12.36867636
+ ,11.78143911
+ ,17.85359417
+ ,9.277808364
+ ,13.33972078
+ ,14.22780485
+ ,17.43586247
+ ,13.3753608
+ ,7.971763963
+ ,9.487750499
+ ,16.49423975
+ ,15.21511671
+ ,9.589676646
+ ,10.42712012
+ ,13.0201353
+ ,17.84978648
+ ,18.30998406
+ ,15.89534882
+ ,5.311440585
+ ,12.55115438
+ ,16.14544025
+ ,11.43396085
+ ,9.61483208
+ ,15.53507626
+ ,6.97001928
+ ,14.52239325
+ ,17.8328823
+ ,13.89331579
+ ,10.43631816
+ ,9.712278591
+ ,12.49521893
+ ,14.12942504
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+ ,13.74797244
+ ,9.942922584
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+ ,11.34269609
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+ ,10.1041787
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+ ,15.10633448
+ ,6.16326461
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+ ,9.852452086
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+ ,10.83826353
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+ ,13.621099
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+ ,11.4493559
+ ,6.304871788
+ ,12.45612266
+ ,11.70744131
+ ,14.52255588
+ ,14.6847188
+ ,14.00916003
+ ,9.063740747
+ ,12.87917848
+ ,14.09669644
+ ,10.91453539
+ ,11.45807414
+ ,10.67710167
+ ,14.5766967
+ ,7.500506329
+ ,8.013459929
+ ,15.71511893
+ ,10.91719297
+ ,8.451414364
+ ,9.680449615
+ ,13.04281114
+ ,12.30631181
+ ,5.475735648
+ ,19.15
+ ,6.318561991
+ ,9.974038576
+ ,11.67102852
+ ,10.61396958
+ ,12.88262502
+ ,12.39969169
+ ,12.34103121
+ ,13.89235106
+ ,15.31887313
+ ,15.3368091
+ ,10.00450285
+ ,11.27570477
+ ,14.86835659
+ ,11.46890639
+ ,8.706868119
+ ,7.705473469
+ ,12.38401963
+ ,17.80919895
+ ,14.23699191
+ ,17.4519668
+ ,12.98177075
+ ,2.080910919
+ ,14.75112225
+ ,13.09820752
+ ,15.68212424
+ ,11.29135539
+ ,18.1400865
+ ,2.507172277
+ ,15.91867058
+ ,7.823664497
+ ,14.96179352
+ ,10.96662538
+ ,16.04078615
+ ,8.284173862
+ ,7.958769343
+ ,5.69261529
+ ,6.117022453
+ ,4.687276457
+ ,7.408636579
+ ,13.25987215
+ ,12.70501195
+ ,3.580093526
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+ ,9.733116837
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+ ,3.847727223
+ ,11.71158746
+ ,10.36537965
+ ,1.908370816
+ ,15.07282766
+ ,13.82088431
+ ,0.406821823
+ ,8.241327352
+ ,11.07449882
+ ,10.5053078
+ ,2.651799226
+ ,8.180917703
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+ ,2.322655495
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+ ,11.1935173
+ ,12.54906448
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+ ,2.298582242
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+ ,16.70032444
+ ,3.068772109
+ ,14.84074833
+ ,9.674855276
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+ ,11.39973018
+ ,15.73039586
+ ,7.166265475
+ ,19.36265885
+ ,13.46103292
+ ,11.32605381
+ ,9.81357389
+ ,7.851840967
+ ,NA
+ ,13.30225262
+ ,NA
+ ,17.89762797
+ ,NA
+ ,9.46320715
+ ,NA
+ ,17.41915883
+ ,NA
+ ,9.332238773
+ ,NA
+ ,13.4187927
+ ,NA
+ ,11.37725913
+ ,NA
+ ,8.702323456
+ ,NA
+ ,14.19611665
+ ,NA
+ ,14.3980936
+ ,NA
+ ,7.301383906
+ ,NA
+ ,15.72027262
+ ,NA
+ ,14.03405468
+ ,NA
+ ,14.75498272
+ ,NA
+ ,17.03707132
+ ,NA
+ ,0.498724543
+ ,NA
+ ,10.82410397
+ ,NA
+ ,13.99003257
+ ,NA
+ ,0.295218143
+ ,NA
+ ,1.833602184
+ ,NA
+ ,0.59944272
+ ,NA
+ ,6.512322257
+ ,NA
+ ,8.594439161)
+ ,dim=c(2
+ ,156)
+ ,dimnames=list(c('Bachelor2'
+ ,'schakel')
+ ,1:156))
>  y <- array(NA,dim=c(2,156),dimnames=list(c('Bachelor2','schakel'),1:156))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par6 = '0.0'
> par5 = 'unpaired'
> par4 = 'two.sided'
> par3 = '0.95'
> par2 = '2'
> par1 = '1'
> main = 'Two Samples'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Dr. Ian E. Holliday
> #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: 
> #Technical description: 
> par1 <- as.numeric(par1) #column number of first sample
> par2 <- as.numeric(par2) #column number of second sample
> par3 <- as.numeric(par3) #confidence (= 1 - alpha)
> if (par5 == 'unpaired') paired <- FALSE else paired <- TRUE
> par6 <- as.numeric(par6) #H0
> z <- t(y)
> if (par1 == par2) stop('Please, select two different column numbers')
> if (par1 < 1) stop('Please, select a column number greater than zero for the first sample')
> if (par2 < 1) stop('Please, select a column number greater than zero for the second sample')
> if (par1 > length(z[1,])) stop('The column number for the first sample should be smaller')
> if (par2 > length(z[1,])) stop('The column number for the second sample should be smaller')
> if (par3 <= 0) stop('The confidence level should be larger than zero')
> if (par3 >= 1) stop('The confidence level should be smaller than zero')
> (r.t <- t.test(z[,par1],z[,par2],var.equal=TRUE,alternative=par4,paired=paired,mu=par6,conf.level=par3))

	Two Sample t-test

data:  z[, par1] and z[, par2] 
t = 0.528, df = 287, p-value = 0.5979
alternative hypothesis: true difference in means is not equal to 0 
95 percent confidence interval:
 -0.6819747  1.1819940 
sample estimates:
mean of x mean of y 
 11.89393  11.64392 

> (v.t <- var.test(z[,par1],z[,par2],conf.level=par3))

	F test to compare two variances

data:  z[, par1] and z[, par2] 
F = 0.8484, num df = 132, denom df = 155, p-value = 0.3306
alternative hypothesis: true ratio of variances is not equal to 1 
95 percent confidence interval:
 0.6114991 1.1821956 
sample estimates:
ratio of variances 
         0.8483702 

> (r.w <- t.test(z[,par1],z[,par2],var.equal=FALSE,alternative=par4,paired=paired,mu=par6,conf.level=par3))

	Welch Two Sample t-test

data:  z[, par1] and z[, par2] 
t = 0.5315, df = 285.268, p-value = 0.5955
alternative hypothesis: true difference in means is not equal to 0 
95 percent confidence interval:
 -0.6759127  1.1759320 
sample estimates:
mean of x mean of y 
 11.89393  11.64392 

> (w.t <- wilcox.test(z[,par1],z[,par2],alternative=par4,paired=paired,mu=par6,conf.level=par3))

	Wilcoxon rank sum test with continuity correction

data:  z[, par1] and z[, par2] 
W = 10359, p-value = 0.9837
alternative hypothesis: true location shift is not equal to 0 

> (ks.t <- ks.test(z[,par1],z[,par2],alternative=par4))

	Two-sample Kolmogorov-Smirnov test

data:  z[, par1] and z[, par2] 
D = 0.0749, p-value = 0.816
alternative hypothesis: two-sided 

Warning message:
In ks.test(z[, par1], z[, par2], alternative = par4) :
  cannot compute correct p-values with ties
> m1 <- mean(z[,par1],na.rm=T)
> m2 <- mean(z[,par2],na.rm=T)
> mdiff <- m1 - m2
> newsam1 <- z[!is.na(z[,par1]),par1]
> newsam2 <- z[,par2]+mdiff
> newsam2 <- newsam2[!is.na(newsam2)]
> (ks1.t <- ks.test(newsam1,newsam2,alternative=par4))

	Two-sample Kolmogorov-Smirnov test

data:  newsam1 and newsam2 
D = 0.1135, p-value = 0.3138
alternative hypothesis: two-sided 

Warning message:
In ks.test(newsam1, newsam2, alternative = par4) :
  cannot compute correct p-values with ties
> mydf <- data.frame(cbind(z[,par1],z[,par2]))
> colnames(mydf) <- c('Variable 1','Variable 2')
> postscript(file="/var/wessaorg/rcomp/tmp/1ugcs1323965020.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> boxplot(mydf, notch=TRUE, ylab='value',main=main)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2tgbf1323965020.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(z[,par1],main='Normal QQplot - Variable 1')
> qqline(z[,par1])
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3xhbq1323965020.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(z[,par2],main='Normal QQplot - Variable 2')
> qqline(z[,par2])
> dev.off()
null device 
          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,paste('Two Sample t-test (',par5,')',sep=''),2,TRUE)
> a<-table.row.end(a)
> if(!paired){
+ a<-table.row.start(a)
+ a<-table.element(a,'Mean of Sample 1',header=TRUE)
+ a<-table.element(a,r.t$estimate[[1]])
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Mean of Sample 2',header=TRUE)
+ a<-table.element(a,r.t$estimate[[2]])
+ a<-table.row.end(a)
+ } else {
+ a<-table.row.start(a)
+ a<-table.element(a,'Difference: Mean1 - Mean2',header=TRUE)
+ a<-table.element(a,r.t$estimate)
+ a<-table.row.end(a)
+ }
> a<-table.row.start(a)
> a<-table.element(a,'t-stat',header=TRUE)
> a<-table.element(a,r.t$statistic[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'df',header=TRUE)
> a<-table.element(a,r.t$parameter[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value',header=TRUE)
> a<-table.element(a,r.t$p.value)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'H0 value',header=TRUE)
> a<-table.element(a,r.t$null.value[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Alternative',header=TRUE)
> a<-table.element(a,r.t$alternative)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'CI Level',header=TRUE)
> a<-table.element(a,attr(r.t$conf.int,'conf.level'))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'CI',header=TRUE)
> a<-table.element(a,paste('[',r.t$conf.int[1],',',r.t$conf.int[2],']',sep=''))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'F-test to compare two variances',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'F-stat',header=TRUE)
> a<-table.element(a,v.t$statistic[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'df',header=TRUE)
> a<-table.element(a,v.t$parameter[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value',header=TRUE)
> a<-table.element(a,v.t$p.value)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'H0 value',header=TRUE)
> a<-table.element(a,v.t$null.value[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Alternative',header=TRUE)
> a<-table.element(a,v.t$alternative)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'CI Level',header=TRUE)
> a<-table.element(a,attr(v.t$conf.int,'conf.level'))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'CI',header=TRUE)
> a<-table.element(a,paste('[',v.t$conf.int[1],',',v.t$conf.int[2],']',sep=''))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/4ls2k1323965021.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Welch Two Sample t-test (',par5,')',sep=''),2,TRUE)
> a<-table.row.end(a)
> if(!paired){
+ a<-table.row.start(a)
+ a<-table.element(a,'Mean of Sample 1',header=TRUE)
+ a<-table.element(a,r.w$estimate[[1]])
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Mean of Sample 2',header=TRUE)
+ a<-table.element(a,r.w$estimate[[2]])
+ a<-table.row.end(a)
+ } else {
+ a<-table.row.start(a)
+ a<-table.element(a,'Difference: Mean1 - Mean2',header=TRUE)
+ a<-table.element(a,r.w$estimate)
+ a<-table.row.end(a)
+ }
> a<-table.row.start(a)
> a<-table.element(a,'t-stat',header=TRUE)
> a<-table.element(a,r.w$statistic[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'df',header=TRUE)
> a<-table.element(a,r.w$parameter[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value',header=TRUE)
> a<-table.element(a,r.w$p.value)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'H0 value',header=TRUE)
> a<-table.element(a,r.w$null.value[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Alternative',header=TRUE)
> a<-table.element(a,r.w$alternative)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'CI Level',header=TRUE)
> a<-table.element(a,attr(r.w$conf.int,'conf.level'))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'CI',header=TRUE)
> a<-table.element(a,paste('[',r.w$conf.int[1],',',r.w$conf.int[2],']',sep=''))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/5sqio1323965021.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Wicoxon rank sum test with continuity correction (',par5,')',sep=''),2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'W',header=TRUE)
> a<-table.element(a,w.t$statistic[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value',header=TRUE)
> a<-table.element(a,w.t$p.value)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'H0 value',header=TRUE)
> a<-table.element(a,w.t$null.value[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Alternative',header=TRUE)
> a<-table.element(a,w.t$alternative)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Kolmogorov-Smirnov Test to compare <i>Distributions</i> of two Samples',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'KS Statistic',header=TRUE)
> a<-table.element(a,ks.t$statistic[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value',header=TRUE)
> a<-table.element(a,ks.t$p.value)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Kolmogorov-Smirnov Test to compare <i>Distributional Shape</i> of two Samples',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'KS Statistic',header=TRUE)
> a<-table.element(a,ks1.t$statistic[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'p-value',header=TRUE)
> a<-table.element(a,ks1.t$p.value)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/6la9q1323965021.tab") 
> 
> try(system("convert tmp/1ugcs1323965020.ps tmp/1ugcs1323965020.png",intern=TRUE))
character(0)
> try(system("convert tmp/2tgbf1323965020.ps tmp/2tgbf1323965020.png",intern=TRUE))
character(0)
> try(system("convert tmp/3xhbq1323965020.ps tmp/3xhbq1323965020.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.890   0.244   1.152