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)
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(35.323
+ ,41.667
+ ,35.478
+ ,18.109
+ ,4.39
+ ,18.145
+ ,22.173
+ ,18.439
+ ,28.021
+ ,51.202
+ ,13.962
+ ,33.01
+ ,40.174
+ ,81.101
+ ,16.065
+ ,21.223
+ ,10.603
+ ,26.848
+ ,34.811
+ ,49.218
+ ,69.064
+ ,18.673
+ ,14.786
+ ,35.802
+ ,89.232
+ ,33.974
+ ,15.173
+ ,36.972
+ ,241.66
+ ,53.976
+ ,8.752
+ ,15.467
+ ,60.535
+ ,23.843
+ ,60.535
+ ,18.062
+ ,26.052
+ ,68.125
+ ,30.669
+ ,23.937
+ ,86
+ ,66.659
+ ,10.632
+ ,24.112
+ ,4.928
+ ,48.172
+ ,35.723
+ ,13.891
+ ,40.424
+ ,20.966
+ ,9.706
+ ,26.81
+ ,26.532
+ ,52.004
+ ,35.681
+ ,32.354
+ ,31.479
+ ,57.393
+ ,250.234
+ ,194.731
+ ,49.469
+ ,20.407
+ ,42.951
+ ,13.681
+ ,43.402
+ ,79.659
+ ,56.95
+ ,53.48
+ ,17.313
+ ,85.903
+ ,25.658
+ ,35.351
+ ,32.048
+ ,1.455
+ ,19.797
+ ,32.789
+ ,31.317
+ ,35.162
+ ,22.708
+ ,38.095
+ ,27.128
+ ,24.5
+ ,26.529
+ ,302.912
+ ,28.392
+ ,16.488
+ ,9.415
+ ,10.831
+ ,91.076
+ ,33.189
+ ,57.751
+ ,7.314
+ ,8.236
+ ,54.179
+ ,6.906
+ ,145.846
+ ,37.877
+ ,23.525
+ ,283.801
+ ,21.804
+ ,5.974
+ ,26.301
+ ,3.441
+ ,41.33
+ ,51.987
+ ,60.31
+ ,13.22
+ ,34.256
+ ,18.187
+ ,22.561
+ ,21.29
+ ,13.151
+ ,5.686
+ ,27.426
+ ,4.944
+ ,15.355
+ ,50.494
+ ,13.82
+ ,19.172
+ ,27.257
+ ,20.573
+ ,23.556
+ ,42.042
+ ,50.108
+ ,25.027
+ ,13.474
+ ,32.36
+ ,50.202
+ ,6.193
+ ,37.7
+ ,6.343
+ ,23.025
+ ,48.578
+ ,21.564
+ ,33.697
+ ,19.172
+ ,21.075
+ ,60.5
+ ,33.686
+ ,40.838
+ ,13.491
+ ,106.637
+ ,35.897
+ ,49.094
+ ,14.667
+ ,18.56
+ ,10.5
+ ,13.338
+ ,48.267
+ ,41.559
+ ,32.45
+ ,10.951
+ ,57.095
+ ,19.105
+ ,47.21
+ ,110.349
+ ,34.985
+ ,18.158
+ ,87.357
+ ,18.187
+ ,28.33
+ ,26.244)
+ ,dim=c(2
+ ,98)
+ ,dimnames=list(c('Timing_first_click_Man'
+ ,'Timing_First_click_Vrouw')
+ ,1:98))
> y <- array(NA,dim=c(2,98),dimnames=list(c('Timing_first_click_Man','Timing_First_click_Vrouw'),1:98))
> 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'
> 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 = 0.0462, df = 194, p-value = 0.9632
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-12.23305 12.81936
sample estimates:
mean of x mean of y
40.01981 39.72665
> (v.t <- var.test(z[,par1],z[,par2],conf.level=par3))
F test to compare two variances
data: z[, par1] and z[, par2]
F = 1.5806, num df = 97, denom df = 97, p-value = 0.02516
alternative hypothesis: true ratio of variances is not equal to 1
95 percent confidence interval:
1.059115 2.358788
sample estimates:
ratio of variances
1.580579
> (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 = 0.0462, df = 184.654, p-value = 0.9632
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-12.23703 12.82334
sample estimates:
mean of x mean of y
40.01981 39.72665
> (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 = 4360, p-value = 0.2662
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 = 0.1837, p-value = 0.07331
alternative hypothesis: two-sided
Warning message:
In ks.test(z[, par1], z[, par2], alternative = par4) :
cannot compute exact 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 = 0.1837, p-value = 0.07331
alternative hypothesis: two-sided
Warning message:
In ks.test(newsam1, newsam2, alternative = par4) :
cannot compute exact p-values with ties
> mydf <- data.frame(cbind(z[,par1],z[,par2]))
> colnames(mydf) <- c('Variable 1','Variable 2')
> postscript(file="/var/fisher/rcomp/tmp/1lr0l1355226913.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/fisher/rcomp/tmp/26a5l1355226913.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/fisher/rcomp/tmp/3zuts1355226913.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/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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$conf.int[2],']',sep=''))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/4013z1355226914.tab")
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,paste('Welch Two Sample t-test (',par5,')',sep=''),2,TRUE)
> a<-table.row.end(a)
> if(!paired){
+ a<-table.row.start(a)
+ a<-table.element(a,'Mean of Sample 1',header=TRUE)
+ a<-table.element(a,r.w$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/fisher/rcomp/tmp/5hsml1355226914.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 Distributions 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 Distributional Shape 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/fisher/rcomp/tmp/6pxjp1355226914.tab")
>
> try(system("convert tmp/1lr0l1355226913.ps tmp/1lr0l1355226913.png",intern=TRUE))
character(0)
> try(system("convert tmp/26a5l1355226913.ps tmp/26a5l1355226913.png",intern=TRUE))
character(0)
> try(system("convert tmp/3zuts1355226913.ps tmp/3zuts1355226913.png",intern=TRUE))
character(0)
>
>
> proc.time()
user system elapsed
1.906 0.569 2.472