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Data X:
8 11.1 4.2 2.6 8.1 10.9 4 2.4 7.7 10 4.9 3.1 7.5 9.2 4.6 2.9 7.6 9.2 4.3 2.7 7.8 9.5 4.3 2.8 7.8 9.6 4.6 3 7.8 9.5 5.1 3.5 7.5 9.1 4.8 3.1 7.5 8.9 4.5 3.1 7.1 9 4.9 3.3 7.5 10.1 5.1 3.4 7.5 10.3 5.1 3.4 7.6 10.2 5.2 3.3 7.7 9.6 4.5 2.7 7.7 9.2 4.6 3 7.9 9.3 4.9 3.3 8.1 9.4 4.6 3 8.2 9.4 4.4 3 8.2 9.2 3.7 2.3 8.2 9 4 2.7 7.9 9 4.2 2.9 7.3 9 3.9 2.7 6.9 9.8 3.6 2.6 6.6 10 3.6 2.7 6.7 9.8 3.2 2.8 6.9 9.3 3.2 2.9 7 9 3.5 2.9 7.1 9 3.6 2.9 7.2 9.1 3.7 3 7.1 9.1 3.8 3.1 6.9 9.1 3.8 2.9 7 9.2 3.8 2.9 6.8 8.8 3.3 2.3 6.4 8.3 3.3 2.3 6.7 8.4 3.4 2.4 6.6 8.1 3.1 2.2 6.4 7.7 3.5 2.3 6.3 7.9 4.2 2.8 6.2 7.9 4.9 3.2 6.5 8 5.1 3.6 6.8 7.9 5.5 3.8 6.8 7.6 5.6 4.1 6.4 7.1 6.4 4.9 6.1 6.8 6.2 4.7 5.8 6.5 7.2 5.6 6.1 6.9 7.8 6.1 7.2 8.2 7.9 6.2 7.3 8.7 7.4 5.9 6.9 8.3 7.5 6.1 6.1 7.9 6.7 5.8 5.8 7.5 5.1 4.9 6.2 7.8 4.6 4.5 7.1 8.3 4.3 4.3 7.7 8.4 3.9 3.8 7.9 8.2 2.6 2.6 7.7 7.7 2.6 2.5 7.4 7.2 1.6 1.7 7.5 7.3 0.9 0.9 8 8.1 0.3 0.3
Names of X columns:
werkm werkv consi gezi
Type of Correlation
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='kendall') 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$counts; y <- y/max(y) rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...) } bitmap(file='test1.png') pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Kendall tau rank correlations for all pairs of data series',3,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'pair',1,TRUE) a<-table.element(a,'tau',1,TRUE) a<-table.element(a,'p-value',1,TRUE) a<-table.row.end(a) n <- length(y[,1]) n cor.test(y[1,],y[2,],method='kendall') for (i in 1:(n-1)) { for (j in (i+1):n) { a<-table.row.start(a) dum <- paste('tau(',dimnames(t(x))[[2]][i]) dum <- paste(dum,',') dum <- paste(dum,dimnames(t(x))[[2]][j]) dum <- paste(dum,')') a<-table.element(a,dum,header=TRUE) r <- cor.test(y[i,],y[j,],method='kendall') a<-table.element(a,r$estimate) a<-table.element(a,r$p.value) a<-table.row.end(a) } } a<-table.end(a) table.save(a,file='mytable.tab')
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