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Workshop 4 Q3

R Software Module: rwasp_pairs.wasp (opens new window with default values)
Title produced by software: Kendall tau Correlation Matrix
Date of computation: Wed, 28 Nov 2007 10:36:15 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2007/Nov/28/t1196270865yip8uc6x72f3n3u.htm/, Retrieved Wed, 28 Nov 2007 18:27:46 +0100
 
User-defined keywords:
Yannick Leroy, Nick Vandewalle, Jeroen Goetschalckx, Nick Van Hove, Jef Jacobs, Michiel Van den Broeck
 
Dataseries X:
» Textbox « » Textfile « » CSV «
3.926 106.7 21 3.517 110.2 14 4.142 125.9 10 4.353 100.1 14 5.029 106.4 12 4.755 114.8 10 3.862 81.3 12 4.406 87.0 9 4.567 104.2 14 4.863 108.0 23 4.121 105.0 17 3.626 94.5 16 3.804 92.0 7 3.491 95.9 9 4.151 108.8 9 4.254 103.4 14 4.717 102.1 12 4.866 110.1 23 4.001 83.2 12 3.758 82.7 15 4.78 106.8 6 5.016 113.7 6 4.296 102.5 1 4.467 96.6 3 3.891 92.1 -1 3.872 95.6 -4 3.867 102.3 -6 3.973 98.6 -9 4.64 98.2 -13 4.538 104.5 -13 3.836 84.0 -10 3.77 73.8 -12 4.374 103.9 -9 4.497 106.0 -15 3.945 97.2 -14 3.862 102.6 -18 3.608 89.0 -13 3.301 93.8 -2 3.882 116.7 -1 3.605 106.8 5 4.305 98.5 8 4.216 118.7 6 3.971 90.0 7 3.988 91.9 15 4.317 113.3 23 4.484 113.1 43 4.247 104.1 60 3.52 108.7 36 3.687 96.7 28 3.405 101.0 23 3.99 116.9 23 4.047 105.8 22 4.549 99.0 22 4.559 129.4 24 3.926 83.0 32 4.206 88.9 27 4.517 115.9 27 4.387 104.2 27 3.219 113.4 29 3.129 112.2 38
 
Text written by user:
 
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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Verkeersongevallen , Ind.Nijverheid )0.2228506787330320.0119672693462805
tau( Verkeersongevallen , Werkloosheid )0.01486651474945110.868143234307897
tau( Ind.Nijverheid , Werkloosheid )0.1875468014546140.0362267021806235
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/28/t1196270865yip8uc6x72f3n3u/1u0i51196271374.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/28/t1196270865yip8uc6x72f3n3u/1u0i51196271374.ps (open in new window)


 
Parameters:
 
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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