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*The author of this computation has been verified*
R Software Module: /rwasp_pairs.wasp (opens new window with default values)
Title produced by software: Kendall tau Correlation Matrix
Date of computation: Mon, 09 Nov 2009 16:57:54 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Nov/10/t1257811112tpnvbe8fl3szlpe.htm/, Retrieved Tue, 10 Nov 2009 00:58:34 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Nov/10/t1257811112tpnvbe8fl3szlpe.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
581000 282965 111632 37391 597000 276610 106707 38540 587000 277838 108827 38022 536000 277051 108413 34470 524000 277026 106249 33227 537000 274960 104861 33411 536000 270073 102382 33616 533000 267063 100320 32618 528000 264916 100228 31759 516000 287182 117089 29951 502000 291109 121523 28022 506000 292223 114948 27823 518000 288109 112831 27730 534000 281400 107605 28472 528000 282579 108928 28468 478000 280113 101993 24910 469000 280331 102850 24312 490000 276759 99925 26180 493000 275139 101536 26121 508000 274275 99450 26696 517000 271234 98305 27206 514000 289725 110159 27210 510000 290649 109483 26646 527000 292223 106810 27441 542000 278429 96279 28143 565000 269749 91982 30134 555000 265784 90276 30393 499000 268957 90999 26203 511000 264099 86622 26374 526000 255121 83117 27182 532000 253276 80367 28060 549000 245980 77550 29175 561000 235295 77443 30522 557000 258479 92844 30083 566000 260916 92175 30713 588000 254586 84822 32013 620000 250566 81632 35395 6260 etc...
 
Output produced by software:

Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132


Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( WLH_België , WLH_MBEL )-0.3449454526824310.000102362869002922
tau( WLH_België , WLH_MVL )-0.2876564570151070.00119295702448213
tau( WLH_België , WLH_MA )0.7870914867145650
tau( WLH_MBEL , WLH_MVL )0.826787261037260
tau( WLH_MBEL , WLH_MA )-0.2311387489844420.009090663679293
tau( WLH_MVL , WLH_MA )-0.1322033898305080.135585103009819
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/10/t1257811112tpnvbe8fl3szlpe/15hw11257811072.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/10/t1257811112tpnvbe8fl3szlpe/15hw11257811072.ps (open in new window)


 
Parameters (Session):
 
Parameters (R input):
 
R code (references can be found in the software module):
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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Software written by Ed van Stee & Patrick Wessa


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