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Data X:
8.10 4.2 0 -0.05 7.30 0.8 0 -0.02 -2.30 1.7 0 0 -1.40 4.6 0 -0.01 -4.40 0.6 0 0.01 13.90 0.2 0 -0.01 11.70 14.2 0 0 5.40 2.6 0 0.02 -6.30 6.5 0 0.42 2.30 10.3 0 0.03 3.90 -0.4 0 -0.1 4.00 5.8 0 -0.07 5.30 9.2 0 -0.04 -10.10 -4.4 0 -0.01 -10.90 10.2 0 -0.01 4.20 12.6 0 -0.02 2.30 5.2 0.09 0.01 9.40 1.1 0.01 -0.01 -1.80 -0.3 0 0.02 -14.60 4.3 0 0.02 15.80 6.1 0 0.32 0.80 3.4 0.01 -0.06 4.80 -6.3 0.01 -0.13 0.40 5.5 0 -0.14 -20.10 1.9 0.01 -0.1 1.60 0.7 0 -0.03 13.00 6.3 0 -0.02 5.70 0.4 0.01 0 -6.90 6.2 0.01 0 -14.00 4.5 0 0 20.10 9.6 0.01 0 12.60 -0.2 0 0.01 -16.50 10.8 0 0.14 6.90 0.1 0 0.07 -13.90 6.0 0 -0.02 -22.60 5.7 0.01 -0.04 0.80 0.0 0 -0.02 9.00 14.1 0 0.01 3.00 5.8 0 0 -33.10 -2.3 0 1.01 13.90 4.6 0.01 -0.02 5.70 7.6 0 0.03 -6.30 5.7 0.01 0.02 -4.80 9.4 0.01 -0.02 10.90 1.9 0 0.01 -19.00 4.9 0 0.01
Names of X columns:
p gs ind prod brood aardappelen
Type of Correlation


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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')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center
R Engine error message	Error in array(list(8.1, 4.2, 0, -0.05, 7.3, 0.8, 0, -0.02, -2.3, 1.7, : length of 'dimnames' [1] not equal to array extent Execution halted