Kendall tau correlation Matrix
| Summary of compuational transaction | |
| Raw Input | view raw input (R code) |
| Raw Output | view raw output of R engine |
| Computing time | 1 seconds |
| R Server | 'Gwilym Jenkins' @ 72.249.127.135 |
| Kendall tau rank correlations for all pairs of data series | ||
| pair | tau | p-value |
| tau( TW , <25j ) | 0.46923423991106 | 6.08564953985535e-09 |
| tau( TW , Vanaf25j ) | 0.765689109759368 | 0 |
| tau( TW , CV ) | -0.107170701310152 | 0.193432586234783 |
| tau( TW , AE ) | -0.131870482084973 | 0.105732360984308 |
| tau( <25j , Vanaf25j ) | 0.226546453545301 | 0.00506783763444885 |
| tau( <25j , CV ) | -0.229010873897556 | 0.0056202526450304 |
| tau( <25j , AE ) | -0.186657809064447 | 0.0225092851158304 |
| tau( Vanaf25j , CV ) | -0.0374956469665221 | 0.649634510480416 |
| tau( Vanaf25j , AE ) | -0.0935210157079017 | 0.252044848168310 |
| tau( CV , AE ) | 0.690456564518743 | 2.22044604925031e-16 |
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| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/22/t1195738099v5nyah5enj4fyci/1j2131195738559.png (open in new window) |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/22/t1195738099v5nyah5enj4fyci/1j2131195738559.ps (open in new window) |
{
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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