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Data X:
0.1 -457.5 8 0.38 0.1 901.6 6.7 -0.09 -0.4 -738.8 15.5 -0.3 0 115.1 7.9 -0.08 0 1302.8 8.9 0.08 -1.77636E-15 -1387 21.1 -0.78 0.1 766.3 -10 1.48 0 1325.1 0.3 -0.35 -0.8 -897 7.8 0.04 0 -545.4 0.2 -0.64 0 1937.4 4 -0.43 1.1 -1589.8 15.8 0.14 -1.77636E-15 1351.8 2.6 -0.45 0 -623.2 6.6 0.09 -0.9 -394.1 4.5 0.09 0 1306 -3.8 -0.08 -0.1 -608.1 6.8 -0.01 0.1 -435.5 6.8 0.32 0 -130.1 8.1 -1.97 0 -58.2 1.2 0.63 0.8 239.7 -0.6 0.27 0.1 329.8 3.8 0.18 -0.2 -1073.1 7.7 0.06 -1 -370.7 -5.5 0.04 -0.1 929.8 -10 0.49 0 103.8 -1.1 0.97 0.6 -1504.4 -1.1 0.37 0 1795.2 -3.9 0.16 0 -333.8 0.3 0.08 0 188.4 -12.5 -25.73 0 -356.1 2.3 -0.41 -0.1 780.7 6.9 0.2 0.2 -2617.6 10.8 -0.72 0 2898.8 -2.2 0.62 0.1 -1021.2 8.2 -0.01 -0.8 107.9 3.8 -0.2 0 -293 4.1 -0.19 -0.1 -761.3 5.1 -0.88 0.1 1923.1 0.7 -0.27 0 -1314.5 12.4 -0.1 -0.2 -1568 6 0.25 0.1 2105.6 3.3 25.78 -0.1 -586.4 4.7 0.76 -0.1 -544.1 1.2 -0.38 0.3 1391.9 -0.9 0.05 -0.2 -804.8 2.9 -0.96 -0.2 471.7 -2 0.3 0.5 842 3.1 0 11.3
Names of X columns:
werkloosheid uitvoer consumptiegoederen woninghuur
Type of Correlation


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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')

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	Big Analytics Cloud Computing Center
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.
R Engine error message	Error in list(0.1, -457.5, 8, 0.38, 0.1, 901.6, 6.7, -0.09, -0.4, -738.8, : argument 193 is empty Calls: array Execution halted