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Data X:
1 1 1 1 0.92 1.84 1 0.961538462 1.11 1.04 0.99 0.961538462 1 1.19 0.98 0.615384615 1.04 1.62 0.99 0.538461538 0.95 1.23 1 0.307692308 1 0.83 1.13 0.423076923 0.97 1.43 1.02 0.5 0.97 0.72 1 0.461538462 1.03 0.66 0.99 0.5 0.9 0.62 0.98 0.423076923 1.07 1.1 1.01 0.5 1.04 0.65 1.01 0.461538462 0.89 1.64 1 0.615384615 1.07 1.11 0.99 0.653846154 1.03 1.23 1 0.576923077 0.96 1.58 0.98 0.346153846 1.02 1.04 1.01 0.576923077 1.1 0.93 1.12 0.538461538 0.93 1.36 1.02 0.615384615 1.02 0.77 1 0.653846154 0.98 0.66 0.98 0.538461538 0.93 0.61 0.97 0.692307692 1.09 1.17 1.01 0.653846154 1.01 0.72 1.01 0.538461538 0.93 1.55 1 0.461538462 1.07 0.9 0.99 0.384615385 0.95 1.62 0.98 0.653846154 0.99 1.3 0.99 0.923076923 1.08 1.06 1.01 0.769230769 1.05 1.16 1.09 0.807692308 0.98 0.95 1.03 0.769230769 0.98 0.91 1 0.692307692 0.98 0.65 1 1.038461538 0.96 0.62 0.97 0.884615385 1.07 1.15 1 0.730769231 0.98 0.69 0.99 0.769230769 0.93 1.34 1 0.884615385 1.13 1.04 0.99 1.076923077 0.95 1.64 0.98 0.923076923 1.01 1.3 0.99 0.884615385 1.01 1.05 1 1.038461538 1.01 1.19 1.09 1.038461538 1.04 0.96 1.01 1.115384615 0.97 0.95 1 1.153846154 1 0.58 0.97 0.846153846 0.92 0.65 0.97 0.884615385 1.06 1.15 1 1.076923077 1.03 0.65 0.99 1.076923077 0.9 1.32 0.99 1.076923077 1.14 1.25 0.98 0.846153846 0.93 1.4 0.99 1 1.08 1.33 1 1.076923077 0.98 1.2 1 0.961538462 1.02 1 1.08 0.923076923 1.02 1.03 1.01 0.884615385 1 1.07 0.99 0.730769231 1.01 0.49 0.95 0.653846154 0.91 0.64 0.96 0.769230769 0.98 1.32 0.99 0.807692308
Names of X columns:
Geb. Huw. WerkLH. Inflatie
Type of Correlation
pearson
spearman
kendall
Chart options
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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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