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Data X:
6 0 6 0 2 22 6 16 -1 1 3 1 2 -4 -7 2 0 2 -1 -8 -1 -1 1 -4 -3 -2 -2 -1 -5 -9 8 0 9 7 17 -2 -1 -3 2 7 5 3 4 -1 -5 1 1 0 -3 -3 3 -3 4 2 2 0 0 1 6 8 -9 -2 -6 -10 -11 -8 -1 -7 9 13 5 1 3 0 0 0 0 0 3 4 1 1 0 2 3 1 -2 4 -2 -2 -10 -2 -10 -1 -3 1 0 3 -2 -4 0 -1 0 6 8 -11 -3 -9 -4 -9 6 1 6 2 4 4 0 4 0 -1 11 -2 12 -4 -7 1 0 1 -1 1 -7 -3 -2 1 2 -11 -4 -8 0 0 -1 0 0 3 2 1 2 -3 1 4 0 1 0 -3 -7 1 1 0 -6 -10 -4 -1 -3 0 -1 1 -1 2 0 -2 -9 -1 -8 1 5 -3 1 -4 -4 -10 -14 2 -16 6 13 0 0 1 -1 0 1 -1 0 4 4 0 -2 3 4 3 -1 1 -3 -1 -1 -5 -1 -3 -3 -3 5 2 3 1 0 5 2 3 -2 0 -2 0 -2 4 4 -5 -4 -1 0 3 -2 -2 0 0 -5 -5 -1 -4 0 2 -16 -5 -12 4 6 -5 -1 -4 -1 -1 -11 -2 -7 -9 -9 8 8 -1 7 6 -9 -4 -5 2 1 -7 0 -7 -2 -3 0 0 0 3 7 -14 -4 -10 0 -2 -12 -3 -9 -1 1 9 -1 10 -2 -3 4 0 3 -1 -10 -17 -5 -11 0 0
Names of X columns:
TW -25 +25 CV AlgEcoSit
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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