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Type 'q()' to quit R. > x <- array(list(13,5,12,3,15,0,12,7,10,4,12,1,15,6,9,3,12,12,11,0,11,5,11,6,15,6,7,6,11,2,11,1,10,5,14,7,10,3,6,3,11,3,15,7,11,8,12,6,14,3,15,5,9,5,13,10,13,2,16,6,13,4,12,6,14,8,11,4,9,5,16,10,12,6,10,7,13,4,16,10,14,4,15,3,5,3,8,3,11,3,16,7,17,15,9,0,9,0,13,4,10,5,6,5,12,2,8,3,14,0,12,9,11,2,16,7,8,7,15,0,7,0,16,10,14,2,16,1,9,8,14,6,11,11,13,3,15,8,5,6,15,9,13,9,11,8,11,8,12,7,12,6,12,5,12,4,14,6,6,3,7,2,14,12,14,8,10,5,13,9,12,6,9,5,12,2,16,4,10,7,14,5,10,6,16,7,15,8,12,6,10,0,8,1,8,5,11,5,13,5,16,7,16,7,14,1,11,3,4,4,14,8,9,6,14,6,8,2,8,2,11,3,12,3,11,0,14,2,15,8,16,8,16,0,11,5,14,9,14,6,12,6,14,3,8,9,13,7,16,8,12,0,16,7,12,0,11,5,4,0,16,14,15,5,10,2,13,8,15,4,12,2,14,6,7,3,19,5,12,9,12,3,13,3,15,0,8,10,12,4,10,2,8,3,10,10,15,7,16,0,13,6,16,8,9,0,14,4,14,10,12,5),dim=c(2,156),dimnames=list(c('IEP','WP'),1:156)) > y <- array(NA,dim=c(2,156),dimnames=list(c('IEP','WP'),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 = 'paired' > par4 = 'two.sided' > par3 = '0.95' > par2 = '2' > par1 = '1' > main = 'Hypothese' > #'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)) Paired t-test data: z[, par1] and z[, par2] t = 24.3607, df = 155, p-value < 2.2e-16 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: 6.461829 7.602274 sample estimates: mean of the differences 7.032051 > (v.t <- var.test(z[,par1],z[,par2],conf.level=par3)) F test to compare two variances data: z[, par1] and z[, par2] F = 0.89, num df = 155, denom df = 155, p-value = 0.4688 alternative hypothesis: true ratio of variances is not equal to 1 95 percent confidence interval: 0.6488172 1.2207068 sample estimates: ratio of variances 0.8899525 > (r.w <- t.test(z[,par1],z[,par2],var.equal=FALSE,alternative=par4,paired=paired,mu=par6,conf.level=par3)) Paired t-test data: z[, par1] and z[, par2] t = 24.3607, df = 155, p-value < 2.2e-16 alternative hypothesis: true difference in means is not equal to 0 95 percent confidence interval: 6.461829 7.602274 sample estimates: mean of the differences 7.032051 > (w.t <- wilcox.test(z[,par1],z[,par2],alternative=par4,paired=paired,mu=par6,conf.level=par3)) Wilcoxon signed rank test with continuity correction data: z[, par1] and z[, par2] V = 11612, p-value < 2.2e-16 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 = 0.7436, p-value < 2.2e-16 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 = 0.1218, p-value = 0.1975 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/www/html/rcomp/tmp/110e91292319214.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/www/html/rcomp/tmp/210e91292319214.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/www/html/rcomp/tmp/3trvc1292319214.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/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,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/www/html/rcomp/tmp/4lbqt1292319214.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$conf.int[2],']',sep='')) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/5ac5n1292319214.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,paste('Wicoxon rank sum test with continuity correction (',par5,')',sep=''),2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'W',header=TRUE) > a<-table.element(a,w.t$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/www/html/rcomp/tmp/66m3e1292319214.tab") > > try(system("convert tmp/110e91292319214.ps tmp/110e91292319214.png",intern=TRUE)) character(0) > try(system("convert tmp/210e91292319214.ps tmp/210e91292319214.png",intern=TRUE)) character(0) > try(system("convert tmp/3trvc1292319214.ps tmp/3trvc1292319214.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.725 0.472 2.456