Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
16 7 17 20 8 19 22 8 18 19 10 17 21 8 17 22 9 19 23 8 19 21 10 12 18 7 15 21 10 16 20 8 16 18 8 14 20 6 15 20 7 16 19 9 14 19 9 18 20 8 15 20 8 18 25 10 19 18 7 15 20 7 17 14 7 9 19 6 18 15 9 17 19 7 15 19 8 13 21 10 17 22 9 14 17 8 15 17 8 14 21 10 17 18 8 14 16 4 13 22 6 19 18 7 15 20 7 14 15 3 11 17 8 16 16 8 13 16 6 15 18 10 17 17 8 15 15 4 12 20 8 15 20 7 15 19 6 8 22 9 16 18 10 12 21 9 13 20 7 16 24 10 16 15 7 8 19 10 14 20 9 15 18 7 16 21 10 16 21 8 17 19 8 18 14 6 9 21 9 19 18 7 14 19 8 14 18 8 15 23 9 19 15 5 12 20 9 17 17 6 16 20 8 17 25 10 15 17 7 11 12 5 8 14 4 16 24 9 20 21 10 20 20 8 13 15 6 11 15 6 15 21 9 15 16 3 14 20 7 16 18 9 15 19 7 15 18 8 16 22 9 19 23 9 20 19 8 14 19 9 16 18 6 14 13 7 11 20 8 16 20 7 16 22 9 15 20 9 16 19 5 12 12 6 13 19 8 11 23 10 20 14 5 11 16 8 14 20 8 16 17 10 15 18 7 13 18 9 15 18 8 13 21 8 17 21 10 18 20 9 14 21 9 13 15 6 12 20 8 17 10 5 6 13 3 9 15 6 15 15 6 15 19 10 17 18 9 19 25 9 20 12 5 10 13 6 9 19 7 15 20 8 16 21 9 16 10 3 9 14 5 10 12 5 9 19 9 17 20 10 17 19 7 19 14 8 10 16 6 12 15 5 9 15 8 11 19 7 17 12 5 9 19 6 14 22 10 19 19 10 17 18 6 13 13 4 11 20 8 14 14 5 7 20 7 17 20 10 16 17 8 12 16 7 10 8 2 10 15 7 8 21 9 18 20 8 15 19 5 18 17 8 14 20 6 16 15 7 11 19 10 16 21 8 17 23 10 20 16 9 14 21 8 16 23 10 17 11 4 11 12 6 13 19 9 11 9 4 8 12 6 9 14 7 9 21 9 12 20 8 15 17 6 18 15 4 10 18 8 15 19 8 16 21 9 18 19 6 15 20 5 17 18 5 17 17 8 14 20 8 17 19 9 13 18 7 16 19 9 12 20 8 17 13 6 10 11 7 9 20 8 15 20 8 14 21 7 16 18 7 17 22 8 18 17 8 14 20 9 17 19 9 14 20 9 15 16 8 14 12 2 10 13 8 9 15 8 12 19 8 13 16 7 14 24 10 18 18 8 15 19 10 14 13 5 10 12 4 9 23 10 17 16 8 12 20 7 16 17 5 11 20 7 13 19 9 12 19 8 15 19 8 15 10 2 10 20 9 16 17 8 11 17 5 14 19 7 17 18 8 16 17 7 16 13 5 11 21 10 16 17 6 13 12 6 7 17 5 13 18 7 14 19 8 14 16 8 9 16 4 15 21 9 16 14 4 11 25 10 20 16 6 14 14 6 9 19 8 16 19 8 13 20 8 15 20 8 15 20 8 15 20 8 15 16 7 14 20 7 15 19 8 13 15 10 12 22 10 17 10 3 8 23 8 17 8 2 10 10 4 9 10 4 9 20 9 15 22 10 14 15 6 12 21 10 16 23 10 19 6 3 6 16 9 11 22 9 16 15 6 12 10 5 12 11 4 8 13 4 11 12 6 8 15 6 12 20 8 16 23 8 18 23 5 16 19 7 15 20 6 20 17 10 10 23 8 15 19 8 14 19 9 14 15 5 8 25 10 19 21 8 17 20 9 18 13 8 10 17 7 15 23 10 16 19 10 12 19 9 13 14 4 10 18 4 14 22 8 15 24 9 20 19 10 9 18 8 12 16 5 13 18 10 16 21 8 12 15 7 14 21 8 15 25 8 19 15 9 16 19 8 16 17 6 14 18 8 14 19 8 14 15 5 13 22 9 18 19 8 15 18 8 15 18 8 15 17 6 13 15 6 14 20 9 15 18 8 14 23 9 19 20 10 16 19 8 16 18 8 12 17 7 10 17 7 11 20 10 13 19 8 14 18 7 11 19 10 11 19 7 16 16 7 9 22 9 16 23 9 19 17 8 13 18 6 15 19 8 14 18 9 15 12 2 11 17 6 14 19 8 15 20 8 17 18 7 16 18 8 13 18 6 15 20 10 14 23 10 15 23 10 14 19 8 12 21 8 12 19 7 15 23 10 17 17 5 13 11 3 5 14 2 7 10 3 10 12 4 15 14 2 9 14 6 9 21 8 15 18 8 14 16 5 11 23 10 18 25 9 20 25 8 20 21 9 16 17 8 15 17 5 14 22 7 13 25 9 18 21 8 14 18 4 12 15 7 9 20 8 19 17 7 13 18 7 12 20 9 14 15 6 6 17 7 14 16 4 11 14 6 11 22 10 14 20 9 12 25 10 19 19 8 13 17 4 14 21 8 17 18 5 12 20 8 16 22 9 15 18 8 15 15 4 15 18 8 16 22 10 15 15 6 12 16 7 13 23 10 14 23 9 17 20 8 14 13 3 14 18 8 14 18 7 15 18 7 11 15 8 11 18 8 16 20 7 12 19 7 12 25 9 19 22 9 18 20 9 16 15 4 16 15 6 13 16 6 11 13 6 10 20 8 14 15 3 14 21 8 14 21 8 16 14 6 10 21 10 16 11 2 7 20 9 16 17 6 15 22 6 17 14 5 11 14 4 11 14 7 10 15 5 13 19 8 14 21 6 13 20 9 13 17 6 12 13 4 10 17 7 15 12 2 6 19 8 15 17 9 15 17 6 11 17 5 14 20 7 14 18 8 16 15 4 12 21 9 15 23 9 20 19 9 12 15 7 9 14 5 13 22 7 15 24 9 19 19 8 11 15 6 11 22 9 17 20 8 15 20 7 14 17 7 15 21 7 11 17 8 12 23 10 15 20 6 16 19 6 16
Names of X columns:
Tevredenheid Intention_to_Use Perceived_Ease_of_Use
Type of Correlation
1
pearson
spearman
kendall
Chart options
Title:
R Code
panel.tau <- function(x, y, digits=2, prefix='', cex.cor) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(0, 1, 0, 1)) rr <- cor.test(x, y, method=par1) r <- round(rr$p.value,2) txt <- format(c(r, 0.123456789), digits=digits)[1] txt <- paste(prefix, txt, sep='') if(missing(cex.cor)) cex <- 0.5/strwidth(txt) text(0.5, 0.5, txt, cex = cex) } panel.hist <- function(x, ...) { usr <- par('usr'); on.exit(par(usr)) par(usr = c(usr[1:2], 0, 1.5) ) h <- hist(x, plot = FALSE) breaks <- h$breaks; nB <- length(breaks) y <- h$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } x <- na.omit(x) y <- t(na.omit(t(y))) bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') n <- length(y[,1]) print(n) a<-table.start() a<-table.row.start(a) a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,' ',header=TRUE) for (i in 1:n) { a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) } a<-table.row.end(a) for (i in 1:n) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE) for (j in 1:n) { r <- cor.test(y[i,],y[j,],method=par1) a<-table.element(a,round(r$estimate,3)) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') ncorrs <- (n*n -n)/2 mycorrs <- array(0, dim=c(10,3)) a<-table.start() a<-table.row.start(a) a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'Pearson r',1,TRUE) a<-table.element(a,'Spearman rho',1,TRUE) a<-table.element(a,'Kendall tau',1,TRUE) a<-table.row.end(a) cor.test(y[1,],y[2,],method=par1) for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='') a<-table.element(a,dum,header=TRUE) rp <- cor.test(y[i,],y[j,],method='pearson') a<-table.element(a,round(rp$estimate,4)) rs <- cor.test(y[i,],y[j,],method='spearman') a<-table.element(a,round(rs$estimate,4)) rk <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,round(rk$estimate,4)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'p-value',header=T) a<-table.element(a,paste('(',round(rp$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rs$p.value,4),')',sep='')) a<-table.element(a,paste('(',round(rk$p.value,4),')',sep='')) a<-table.row.end(a) for (iii in 1:10) { iiid100 <- iii / 100 if (rp$p.value < iiid100) mycorrs[iii, 1] = mycorrs[iii, 1] + 1 if (rs$p.value < iiid100) mycorrs[iii, 2] = mycorrs[iii, 2] + 1 if (rk$p.value < iiid100) mycorrs[iii, 3] = mycorrs[iii, 3] + 1 } } } a<-table.end(a) table.save(a,file='mytable1.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Meta Analysis of Correlation Tests',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Number of significant by total number of Correlations',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Type I error',1,TRUE) a<-table.element(a,'Pearson r',1,TRUE) a<-table.element(a,'Spearman rho',1,TRUE) a<-table.element(a,'Kendall tau',1,TRUE) a<-table.row.end(a) for (iii in 1:10) { iiid100 <- iii / 100 a<-table.row.start(a) a<-table.element(a,round(iiid100,2),header=T) a<-table.element(a,round(mycorrs[iii,1]/ncorrs,2)) a<-table.element(a,round(mycorrs[iii,2]/ncorrs,2)) a<-table.element(a,round(mycorrs[iii,3]/ncorrs,2)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable2.tab')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation