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Data X:
104.2 97.4 1.2 103.2 97 1.6 112.7 105.4 1.7 106.4 102.7 1.5 102.6 98.1 0.9 110.6 104.5 1.5 95.2 87.4 1.4 89 89.9 1.6 112.5 109.8 1.7 116.8 111.7 1.4 107.2 98.6 1.8 113.6 96.9 1.7 101.8 95.1 1.4 102.6 97 1.2 122.7 112.7 1 110.3 102.9 1.7 110.5 97.4 2.4 121.6 111.4 2 100.3 87.4 2.1 100.7 96.8 2 123.4 114.1 1.8 127.1 110.3 2.7 124.1 103.9 2.3 131.2 101.6 1.9 111.6 94.6 2 114.2 95.9 2.3 130.1 104.7 2.8 125.9 102.8 2.4 119 98.1 2.3 133.8 113.9 2.7 107.5 80.9 2.7 113.5 95.7 2.9 134.4 113.2 3 126.8 105.9 2.2 135.6 108.8 2.3 139.9 102.3 2.8 129.8 99 2.8 131 100.7 2.8 153.1 115.5 2.2 134.1 100.7 2.6 144.1 109.9 2.8 155.9 114.6 2.5 123.3 85.4 2.4 128.1 100.5 2.3 144.3 114.8 1.9 153 116.5 1.7 149.9 112.9 2 150.9 102 2.1 141 106 1.7 138.9 105.3 1.8 157.4 118.8 1.8 142.9 106.1 1.8 151.7 109.3 1.3 161 117.2 1.3 138.5 92.5 1.3 135.9 104.2 1.2 151.5 112.5 1.4 164 122.4 2.2 159.1 113.3 2.9 157 100 3.1 142.1 110.7 3.5 144.8 112.8 3.6 152.1 109.8 4.4 154.9 117.3 4.1 148.4 109.1 5.1 157.3 115.9 5.8 145.7 96 5.9 133.8 99.8 5.4 156.8 116.8 5.5
Names of X columns:
Omzet Productie HICP
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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