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Data X:
10 20 7.8 9 7 4 7.6 9.1 5 10 7.5 8.7 9 12 7.6 8.2 10 10 7.5 7.9 9 12 7.3 7.9 8 12 7.6 9.1 7 13 7.5 9.4 10 17 7.6 9.4 9 12 7.9 9.1 11 15 7.9 9 12 12 8.1 9.3 12 14 8.2 9.9 12 19 8 9.8 12 16 7.5 9.3 12 17 6.8 8.3 11 16 6.5 8 12 19 6.6 8.5 11 17 7.6 10.4 12 17 8 11.1 11 20 8.1 10.9 13 18 7.7 10 10 16 7.5 9.2 11 19 7.6 9.2 12 18 7.8 9.5 12 23 7.8 9.6 11 20 7.8 9.5 9 20 7.5 9.1 8 15 7.5 8.9 9 17 7.1 9 9 16 7.5 10.1 8 15 7.5 10.3 6 10 7.6 10.2 10 13 7.7 9.6 10 10 7.7 9.2 11 19 7.9 9.3 12 21 8.1 9.4 12 17 8.2 9.4 11 16 8.2 9.2 11 17 8.2 9 9 14 7.9 9 11 18 7.3 9 11 17 6.9 9.8 11 14 6.6 10 9 15 6.7 9.8 12 16 6.9 9.3 12 11 7 9 10 15 7.1 9 12 13 7.2 9.1 11 17 7.1 9.1 10 16 6.9 9.1 11 9 7 9.2 11 17 6.8 8.8 10 15 6.4 8.3 9 12 6.7 8.4 8 12 6.6 8.1 9 12 6.4 7.7 8 12 6.3 7.9 5 4 6.2 7.9 6 7 6.5 8 4 4 6.8 7.9 7 3 6.8 7.6 4 3 6.4 7.1 4 0 6.1 6.8 4 5 5.8 6.5 0 3 6.1 6.9 2 4 7.2 8.2 4 3 7.3 8.7 6 10 6.9 8.3 1 4 6.1 7.9 2 1 5.8 7.5 1 1 6.2 7.8
Names of X columns:
Finsg Spvg Wm Wv
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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