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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: Tue, 17 Nov 2009 11:58:34 -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/17/t1258484402646ygza0791bdo9.htm/, Retrieved Tue, 17 Nov 2009 20:00:03 +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/17/t1258484402646ygza0791bdo9.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 «
267413 294912 95.1 1.6 267366 293488 97 1.3 264777 290555 112.7 1.1 258863 284736 102.9 1.9 254844 281818 97.4 2.6 254868 287854 111.4 2.3 277267 316263 87.4 2.4 285351 325412 96.8 2.2 286602 326011 114.1 2 283042 328282 110.3 2.9 276687 317480 103.9 2.6 277915 317539 101.6 2.3 277128 313737 94.6 2.3 277103 312276 95.9 2.6 275037 309391 104.7 3.1 270150 302950 102.8 2.8 267140 300316 98.1 2.5 264993 304035 113.9 2.9 287259 333476 80.9 3.1 291186 337698 95.7 3.1 292300 335932 113.2 3.2 288186 323931 105.9 2.5 281477 313927 108.8 2.6 282656 314485 102.3 2.9 280190 313218 99 2.6 280408 309664 100.7 2.4 276836 302963 115.5 1.7 275216 298989 100.7 2 274352 298423 109.9 2.2 271311 301631 114.6 1.9 289802 329765 85.4 1.6 290726 335083 100.5 1.6 292300 327616 114.8 1.2 278506 309119 116.5 1.2 269826 295916 112.9 1.5 265861 291413 102 1.6 269034 291542 106 1.7 264176 284678 105.3 1.8 255198 276475 118.8 1.8 253353 272566 106.1 1.8 246057 264981 109.3 1.3 235372 263290 117.2 1.3 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 time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( werkl_man , werkl_vrouw )0.7011988417333620
tau( werkl_man , IndProd )-0.2248868778280540.0071536526433773
tau( werkl_man , Nat.consP )-0.1767044367937360.0369488037483226
tau( werkl_vrouw , IndProd )-0.1112870419783270.183105424496055
tau( werkl_vrouw , Nat.consP )-0.02477891295255930.769809695077727
tau( IndProd , Nat.consP )0.08582786929981460.310888262479083
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/17/t1258484402646ygza0791bdo9/1eqyc1258484312.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/17/t1258484402646ygza0791bdo9/1eqyc1258484312.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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This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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