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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 23 Dec 2009 20:23:39 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Dec/24/t1261625311m03hkx8fek4i2s5.htm/, Retrieved Mon, 06 May 2024 23:32:11 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=70597, Retrieved Mon, 06 May 2024 23:32:11 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D  [Kendall tau Correlation Matrix] [Workshop 6 - Kend...] [2009-11-08 14:14:54] [1646a2766cb8c4a6f9d3b2fffef409b3]
-         [Kendall tau Correlation Matrix] [] [2009-11-12 15:44:08] [74be16979710d4c4e7c6647856088456]
-   P       [Kendall tau Correlation Matrix] [] [2009-11-13 13:13:44] [a8daa77ccfcc69402c6935b1fb50efb8]
-   PD          [Kendall tau Correlation Matrix] [] [2009-12-24 03:23:39] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
269645	308347
267037	298427
258113	289231
262813	291975
267413	294912
267366	293488
264777	290555
258863	284736
254844	281818
254868	287854
277267	316263
285351	325412
286602	326011
283042	328282
276687	317480
277915	317539
277128	313737
277103	312276
275037	309391
270150	302950
267140	300316
264993	304035
287259	333476
291186	337698
292300	335932
288186	323931
281477	313927
282656	314485
280190	313218
280408	309664
276836	302963
275216	298989
274352	298423
271311	301631
289802	329765
290726	335083
292300	327616
278506	309119
269826	295916
265861	291413
269034	291542
264176	284678
255198	276475
253353	272566
246057	264981
235372	263290
258556	296806
260993	303598
254663	286994
250643	276427
243422	266424
247105	267153
248541	268381
245039	262522
237080	255542
237085	253158
225554	243803
226839	250741
247934	280445
248333	285257
246969	270976
245098	261076
246263	255603
255765	260376
264319	263903
268347	264291
273046	263276
273963	262572
267430	256167
271993	264221
292710	293860
295881	300713




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70597&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70597&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70597&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

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( werkloosheidmannen , werkloosheidvrouwen )0.6867540730158330

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( werkloosheidmannen , werkloosheidvrouwen ) & 0.686754073015833 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=70597&T=1

[TABLE]
[ROW][C]Kendall tau rank correlations for all pairs of data series[/C][/ROW]
[ROW][C]pair[/C][C]tau[/C][C]p-value[/C][/ROW]
[ROW][C]tau( werkloosheidmannen , werkloosheidvrouwen )[/C][C]0.686754073015833[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=70597&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=70597&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( werkloosheidmannen , werkloosheidvrouwen )0.6867540730158330



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')