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Data X:
-122 -14.70 -26 -14.30 9 -17.10 -99 3.30 -312 -4.30 111 -4.70 139 1.90 -648 -4.30 213 2.60 153 5.70 175 -2.50 841 2.10 87 0.10 381 -0.30 -284 -6.50 -281 -4.80 -77 -3.90 -328 -5.60 -165 0.80 12 -8.90 -406 -2.90 -519 -7.70 -351 -5.30 -605 6.00 -283 -3.10 -571 -1.80 15 14.40 -368 8.20 -335 0.30 -322 14.20 135 6.00 218 18.10 -57 9.40 -13 7.10 302 6.90 -342 6.10 79 7.70 104 7.20 108 0.20 442 -1.00 244 0.50 343 10.70 -45 -7.00 218 -3.00 200 2.60 -97 -8.90 -1028 9.30 -391 3.50
Names of X columns:
Verkeersongevallen Ind.Nijverheid
Type of Correlation
pearson
spearman
kendall
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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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