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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, 10 Nov 2009 03:22:22 -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/t12578486012jht80uibqif9b9.htm/, Retrieved Tue, 10 Nov 2009 11:23:23 +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/t12578486012jht80uibqif9b9.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 «
2259703 115 395.3 798.6 2444005 243 395.1 798.4 2576401 384 403.5 806.8 2309146 216 403.3 806.6 2493971 293 405.7 809 2188754 140 406.7 810 2128515 131 407.2 810.5 2248771 162 412.4 815.7 2125552 164 415.9 819.2 2204434 200 414 817.3 1765972 140 411.8 815.1 1835861 131 409.9 813.2 2087121 133 412.4 815.7 2170744 179 415.9 819.2 2577245 295 416.3 819.6 2500625 250 417.2 820.5 2370817 265 421.8 825.1 2033775 197 421.4 824.7 2162554 179 415.1 818.4 1943964 153 412.4 815.7 1917423 162 411.8 815.1 2260681 195 408.8 812.1 1828487 211 404.5 807.8 1673658 200 402.5 805.8 1746814 203 409.4 812.7 2197119 203 410.7 814 2050797 353 413.4 816.7 2272390 285 415.2 818.5 2079219 197 417.7 821 2242532 162 417.8 821.1 2392286 197 417.9 821.2 2056150 176 418.4 821.7 2108444 212 418.2 821.5 2060266 272 416.6 819.9 1747495 204 418.9 822.2 2059217 189 421 824.3 1921030 240 423.5 826.8 1895979 243 432.3 835.6 2369584 464 432.3 835.6 2506099 378 428.6 831.9 2156596 301 426.7 830 2522368 293 4 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'Gwilym Jenkins' @ 72.249.127.135


Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( BV , HK )0.530952933949244.44089209850063e-16
tau( BV , BN )0.4242424814854687.79620812352277e-11
tau( BV , VI )0.4242424814854687.79620812352277e-11
tau( HK , BN )0.5135327638760113.77475828372553e-15
tau( HK , VI )0.5135327638760113.77475828372553e-15
tau( BN , VI )10
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/10/t12578486012jht80uibqif9b9/1xh2e1257848541.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/10/t12578486012jht80uibqif9b9/1xh2e1257848541.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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