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Kendall Tau Correlation Matrix ws6

*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: Fri, 13 Nov 2009 11:28:10 -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/13/t125813694632o780zy6uj5hpu.htm/, Retrieved Fri, 13 Nov 2009 19:29:08 +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/13/t125813694632o780zy6uj5hpu.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 «
2926686 29211 45319 18234 2944920 29870 46603 18989 2963909 32045 47943 18315 2982224 32209 45773 16020 2998244 32062 53225 21277 3019521 31623 57281 25816 3045337 32652 62241 29747 3075084 30030 61814 32185 3107269 29220 70727 39228 3146497 29894 67625 37028 3183525 28375 65618 34974 3218499 29082 63052 31455 3249954 29699 62410 30342 3280296 27736 60571 31150 3311446 28417 62543 32564 3344010 28412 62985 33756 3377766 29158 62739 32960 3410726 29099 63552 34947 3445673 29981 64171 30217 3475890 30560 63063 32096 3507986 31645 62985 30015 3538001 31761 63005 29706 3567707 32543 61880 27064 3594771 33313 62555 30058 3624829 34318 62254 28177 3653006 36850 63290 27062 3680068 35171 65570 28541 3708609 35317 66277 29117 3737726 36010 67061 30572 3768298 36216 66779 32482 3800780 37668 67350 31412 3832192 38994 67746 31029 3863221 38723 64551 25084 3888305 38981 65550 29468 3917773 39375 64260 30462 3948235 39958 61208 24755 3972990 39464 59603 24535 3997525 40061 56345 19576 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( Totalepopulatie , sterftecijfer )0.7322212467076380
tau( Totalepopulatie , geboortecijfer )-0.1778265685005340.0320442939958965
tau( Totalepopulatie , populatieaangroei )-0.2431957857769970.0033619679571333
tau( sterftecijfer , geboortecijfer )-0.2261251426611720.00640798158433705
tau( sterftecijfer , populatieaangroei )-0.3985952589991221.53665693908777e-06
tau( geboortecijfer , populatieaangroei )0.5870472150252191.46904710618401e-12
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/13/t125813694632o780zy6uj5hpu/1eoon1258136889.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/13/t125813694632o780zy6uj5hpu/1eoon1258136889.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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