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Data X:
8.1 10.9 1.3 2.1 7.7 10.0 1.3 2.8 7.5 9.2 1.2 2.6 7.6 9.2 1.1 2.4 7.8 9.5 1.4 2.5 7.8 9.6 1.2 2.7 7.8 9.5 1.5 3.2 7.5 9.1 1.1 2.8 7.5 8.9 1.3 2.8 7.1 9.0 1.5 3.0 7.5 10.1 1.1 3.1 7.5 10.3 1.4 3.1 7.6 10.2 1.3 3.0 7.7 9.6 1.5 2.4 7.7 9.2 1.6 2.7 7.9 9.3 1.7 3.0 8.1 9.4 1.1 2.7 8.2 9.4 1.6 2.7 8.2 9.2 1.3 2.0 8.2 9.0 1.7 2.4 7.9 9.0 1.6 2.6 7.3 9.0 1.7 2.4 6.9 9.8 1.9 2.3 6.6 10.0 1.8 2.4 6.7 9.8 1.9 2.5 6.9 9.3 1.6 2.6 7.0 9.0 1.5 2.6 7.1 9.0 1.6 2.6 7.2 9.1 1.6 2.7 7.1 9.1 1.7 2.8 6.9 9.1 2.0 2.6 7.0 9.2 2.0 2.6 6.8 8.8 1.9 2.0 6.4 8.3 1.7 2.0 6.7 8.4 1.8 2.1 6.6 8.1 1.9 1.9 6.4 7.7 1.7 2.0 6.3 7.9 2.0 2.5 6.2 7.9 2.1 2.9 6.5 8.0 2.4 3.3 6.8 7.9 2.5 3.5 6.8 7.6 2.5 3.5 6.4 7.1 2.6 4.6 6.1 6.8 2.2 4.4 5.8 6.5 2.5 5.3 6.1 6.9 2.8 5.8 7.2 8.2 2.8 5.9 7.3 8.7 2.9 5.6 6.9 8.3 3.0 5.8 6.1 7.9 3.1 5.5 5.8 7.5 2.9 4.6 6.2 7.8 2.7 4.2 7.1 8.3 2.2 4.0 7.7 8.4 2.5 3.5 7.9 8.2 2.3 2.3 7.7 7.7 2.6 2.2 7.4 7.2 2.3 1.4 7.5 7.3 2.2 0.6 8.0 8.1 1.8 0.0 8.1 8.5 1.8 0.5
Names of X columns:
wgM wgV it gi
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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