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Data X:
100 100 95.06 91.74 92.59 84.40 93.83 84.40 96.30 87.16 96.30 88.07 96.30 87.16 92.59 83.49 92.59 81.65 87.65 82.57 92.59 92.66 92.59 94.50 93.83 93.58 95.06 88.07 95.06 84.40 97.53 85.32 100.00 86.24 101.23 86.24 101.23 84.40 101.23 82.57 97.53 82.57 90.12 82.57 85.19 89.91 81.48 91.74 82.72 89.91 85.19 85.32 86.42 82.57 87.65 82.57 88.89 83.49 87.65 83.49 85.19 83.49 86.42 84.40 83.95 80.73 79.01 76.15 82.72 77.06 81.48 74.31 79.01 70.64 77.78 72.48 76.54 72.48 80.25 73.39 83.95 72.48 83.95 69.72 79.01 65.14 75.31 62.39 71.60 59.63 75.31 63.30 88.89 75.23 90.12 79.82 85.19 76.15 75.31 72.48 71.60 68.81 76.54 71.56 87.65 76.15 95.06 77.06 97.53 75.23 95.06 70.64 91.36 66.06 92.59 66.97 98.77 74.31 100.00 77.98
Names of X columns:
Wlh_Mannen Wlh_vrouwen
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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Big Analytics Cloud Computing Center
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