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Data X:
173 183 2 0 70 118 0 -711 215 -110 -2 -2910 357 -41 1 8382 424 85 -1 -1743 -384 314 1 5212 123 242 0 1131 -138 -34 0 2046 195 164 -2 495 135 -160 2 -8138 19 -118 0 -8774 162 114 1 4445 244 -152 -3 611 242 -214 5 684 -227 223 -2 1554 555 124 0 -10927 -59 -410 0 1333 -18 356 2 -54 1155 -432 -2 -11544 -773 363 1 6842 192 -20 1 3572 66 -10 -3 11239 90 173 -1 963 54 44 2 -6157 -7 -328 1 -12126 -348 273 0 -15 -35 -188 -1 571 -6 1 -2 405 -38 238 1 1293 -89 -237 0 -4488 66 112 -1 899 106 -174 0 -9084 336 -18 -3 -2502 -143 -148 1 -14826 4 -65 1 444 10 -40 0 450 -74 30 1 856 -126 -219 1 -1850 289 103 -1 -5322 -92 -507 1 5734 8 74 -2 4214 700 -54 3 -1405 -212 -302 -2 -5082 197 -76 -2 -1907 859 -280 -2 -5241 -52 67 1 -16176 -80 -45 1 -5170 251 -452 1 -10205
Names of X columns:
Hwlkn Schdngn FinSit TotWerk
Type of Correlation
pearson
spearman
kendall
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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')
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