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Data X:
12 12.9 8 12.2 11 12.8 13 7.4 11 6.7 10 12.6 7 14.8 10 13.3 15 11.1 12 8.2 12 11.4 10 6.4 10 10.6 14 12 6 6.3 12 11.3 14 11.9 11 9.3 8 9.6 12 10 15 6.4 13 13.8 11 10.8 12 13.8 7 11.7 11 10.9 7 16.1 12 13.4 12 9.9 13 11.5 9 8.3 11 11.7 12 9 15 9.7 12 10.8 6 10.3 5 10.4 13 12.7 11 9.3 6 11.8 12 5.9 10 11.4 6 13 12 10.8 11 12.3 6 11.3 12 11.8 12 7.9 8 12.7 10 12.3 11 11.6 7 6.7 12 10.9 13 12.1 14 13.3 12 10.1 6 5.7 14 14.3 10 8 12 13.3 11 9.3 10 12.5 7 7.6 12 15.9 7 9.2 12 9.1 12 11.1 10 13 10 14.5 12 12.2 12 12.3 12 11.4 8 8.8 10 14.6 5 12.6 10 13 12 12.6 11 13.2 9 9.9 12 7.7 11 10.5 10 13.4 12 10.9 10 4.3 9 10.3 11 11.8 12 11.2 7 11.4 11 8.6 12 13.2 6 12.6 9 5.6 15 9.9 10 8.8 11 7.7 12 9 12 7.3 12 11.4 11 13.6 9 7.9 11 10.7 12 10.3 12 8.3 14 9.6 8 14.2 10 8.5 9 13.5 10 4.9 9 6.4 10 9.6 12 11.6 11 11.1 9 4.35 11 12.7 12 18.1 12 17.85 7 16.6 12 12.6 12 17.1 12 19.1 10 16.1 15 13.35 10 18.4 15 14.7 10 10.6 15 12.6 9 16.2 15 13.6 12 18.9 13 14.1 12 14.5 12 16.15 8 14.75 9 14.8 15 12.45 12 12.65 12 17.35 15 8.6 11 18.4 12 16.1 6 11.6 14 17.75 12 15.25 12 17.65 12 16.35 11 17.65 12 13.6 12 14.35 12 14.75 12 18.25 8 9.9 8 16 12 18.25 12 16.85 11 14.6 10 13.85 11 18.95 12 15.6 13 14.85 12 11.75 12 18.45 10 15.9 10 17.1 11 16.1 8 19.9 12 10.95 9 18.45 12 15.1 9 15 11 11.35 15 15.95 8 18.1 8 14.6 11 15.4 11 15.4 11 17.6 13 13.35 7 19.1 12 15.35 8 7.6 8 13.4 4 13.9 11 19.1 10 15.25 7 12.9 12 16.1 11 17.35 9 13.15 10 12.15 8 12.6 8 10.35 11 15.4 12 9.6 10 18.2 10 13.6 12 14.85 8 14.75 11 14.1 8 14.9 10 16.25 14 19.25 9 13.6 9 13.6 10 15.65 13 12.75 12 14.6 13 9.85 8 12.65 3 19.2 8 16.6 12 11.2 11 15.25 9 11.9 12 13.2 12 16.35 12 12.4 10 15.85 13 18.15 9 11.15 12 15.65 11 17.75 14 7.65 11 12.35 9 15.6 12 19.3 8 15.2 15 17.1 12 15.6 14 18.4 12 19.05 9 18.55 9 19.1 13 13.1 13 12.85 15 9.5 11 4.5 7 11.85 10 13.6 11 11.7 14 12.4 14 13.35 13 11.4 12 14.9 8 19.9 13 11.2 9 14.6 12 17.6 13 14.05 11 16.1 11 13.35 13 11.85 12 11.95 12 14.75 10 15.15 9 13.2 10 16.85 13 7.85 13 7.7 9 12.6 11 7.85 12 10.95 8 12.35 12 9.95 12 14.9 12 16.65 9 13.4 12 13.95 12 15.7 11 16.85 12 10.95 6 15.35 7 12.2 10 15.1 12 17.75 10 15.2 12 14.6 9 16.65 3 8.1
Names of X columns:
CONFSOFTTOT TOT
Column number of first sample
Column number of second sample
Confidence
Alternative
two.sided
two.sided
less
greater
Are observations paired?
unpaired
unpaired
paired
Null Hypothesis
Chart options
Title:
R Code
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)) (v.t <- var.test(z[,par1],z[,par2],conf.level=par3)) (r.w <- t.test(z[,par1],z[,par2],var.equal=FALSE,alternative=par4,paired=paired,mu=par6,conf.level=par3)) (w.t <- wilcox.test(z[,par1],z[,par2],alternative=par4,paired=paired,mu=par6,conf.level=par3)) (ks.t <- ks.test(z[,par1],z[,par2],alternative=par4)) 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)) mydf <- data.frame(cbind(z[,par1],z[,par2])) colnames(mydf) <- c('Variable 1','Variable 2') bitmap(file='test1.png') boxplot(mydf, notch=TRUE, ylab='value',main=main) dev.off() bitmap(file='test2.png') qqnorm(z[,par1],main='Normal QQplot - Variable 1') qqline(z[,par1]) dev.off() bitmap(file='test3.png') qqnorm(z[,par2],main='Normal QQplot - Variable 2') qqline(z[,par2]) dev.off() load(file='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$conf.int[2],']',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,paste('Welch Two Sample t-test (',par5,')',sep=''),2,TRUE) a<-table.row.end(a) if(!paired){ a<-table.row.start(a) a<-table.element(a,'Mean of Sample 1',header=TRUE) a<-table.element(a,r.w$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='mytable1.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='mytable2.tab')
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Big Analytics Cloud Computing Center
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