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*Unverified author*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 28 Nov 2007 07:57:39 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2007/Nov/28/t1196261298td426u78coo9hmz.htm/, Retrieved Thu, 02 May 2024 03:09:35 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7074, Retrieved Thu, 02 May 2024 03:09:35 +0000

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No (this computation is public)

User-defined keywords

Kendall Tau Correlation

Estimated Impact

186

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2007-11-28 14:57:39] [a1c3b9772d97ad2d7bb67d4cdac038f3] [Current]

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Dataseries X:

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0.9383	90.8	15	467037
0.9217	96.4	3	460070
0.9095	90	2	447988
0.892	92.1	-2	442867
0.8742	97.2	1	436087
0.8532	95.1	1	431328
0.8607	88.5	-1	484015
0.9005	91	-6	509673
0.9111	90.5	-13	512927
0.9059	75	-25	502831
0.8883	66.3	-26	470984
0.8924	66	-9	471067
0.8833	68.4	1	476049
0.87	70.6	3	474605
0.8758	83.9	6	470439
0.8858	90.1	2	461251
0.917	90.6	5	454724
0.9554	87.1	5	455626
0.9922	90.8	0	516847
0.9778	94.1	-5	525192
0.9808	99.8	-4	522975
0.9811	96.8	-2	518585
1.0014	87	-1	509239
1.0183	96.3	-8	512238
1.0622	107.1	-16	519164
1.0773	115.2	-19	517009
1.0807	106.1	-28	509933
1.0848	89.5	-11	509127
1.1582	91.3	-4	500857
1.1663	97.6	-9	506971
1.1372	100.7	-12	569323
1.1139	104.6	-10	579714
1.1222	94.7	-2	577992
1.1692	101.8	-13	565464
1.1702	102.5	0	547344
1.2286	105.3	0	554788
1.2613	110.3	4	562325
1.2646	109.8	7	560854
1.2262	117.3	5	555332
1.1985	118.8	2	543599
1.2007	131.3	-2	536662
1.2138	125.9	6	542722
1.2266	133.1	-3	593530
1.2176	147	1	610763
1.2218	145.8	0	612613
1.249	164.4	-7	611324
1.2991	149.8	-6	594167
1.3408	137.7	-4	595454
1.3119	151.7	-4	590865
1.3014	156.8	-2	589379
1.3201	180	2	584428
1.2938	180.4	-5	573100
1.2694	170.4	-15	567456
1.2165	191.6	-16	569028
1.2037	199.5	-18	620735
1.2292	218.2	-13	628884
1.2256	217.5	-23	628232
1.2015	205	-10	612117
1.1786	194	-10	595404
1.1856	199.3	-6	597141
1.2103	219.3	-3	593408
1.1938	211.1	-4	590072
1.202	215.2	-7	579799
1.2271	240.2	-7	574205
1.277	242.2	-7	572775
1.265	240.7	-3	572942
1.2684	255.4	0	619567
1.2811	253	-5	625809
1.2727	218.2	-3	619916
1.2611	203.7	3	587625
1.2881	205.6	2	565742
1.3213	215.6	-7	557274

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7074&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 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=7074&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7074&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 compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( Dollar , Aardolieprijs )	0.616829792841619	1.84297022087776e-14
tau( Dollar , Consumentenvertrouwen )	-0.0405784555883213	0.619477504282419
tau( Dollar , werkloosheid )	0.579029733959311	6.26165785888588e-13
tau( Aardolieprijs , Consumentenvertrouwen )	-0.150437850741439	0.0657168698478481
tau( Aardolieprijs , werkloosheid )	0.612915898216989	2.68673971959288e-14
tau( Consumentenvertrouwen , werkloosheid )	-0.183000878143410	0.025121580347155

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Dollar , Aardolieprijs ) & 0.616829792841619 & 1.84297022087776e-14 \tabularnewline
tau( Dollar , Consumentenvertrouwen ) & -0.0405784555883213 & 0.619477504282419 \tabularnewline
tau( Dollar , werkloosheid ) & 0.579029733959311 & 6.26165785888588e-13 \tabularnewline
tau( Aardolieprijs , Consumentenvertrouwen ) & -0.150437850741439 & 0.0657168698478481 \tabularnewline
tau( Aardolieprijs , werkloosheid ) & 0.612915898216989 & 2.68673971959288e-14 \tabularnewline
tau( Consumentenvertrouwen , werkloosheid ) & -0.183000878143410 & 0.025121580347155 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7074&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( Dollar , Aardolieprijs )[/C][C]0.616829792841619[/C][C]1.84297022087776e-14[/C][/ROW]
[ROW][C]tau( Dollar , Consumentenvertrouwen )[/C][C]-0.0405784555883213[/C][C]0.619477504282419[/C][/ROW]
[ROW][C]tau( Dollar , werkloosheid )[/C][C]0.579029733959311[/C][C]6.26165785888588e-13[/C][/ROW]
[ROW][C]tau( Aardolieprijs , Consumentenvertrouwen )[/C][C]-0.150437850741439[/C][C]0.0657168698478481[/C][/ROW]
[ROW][C]tau( Aardolieprijs , werkloosheid )[/C][C]0.612915898216989[/C][C]2.68673971959288e-14[/C][/ROW]
[ROW][C]tau( Consumentenvertrouwen , werkloosheid )[/C][C]-0.183000878143410[/C][C]0.025121580347155[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7074&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7074&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
pair	tau	p-value
tau( Dollar , Aardolieprijs )	0.616829792841619	1.84297022087776e-14
tau( Dollar , Consumentenvertrouwen )	-0.0405784555883213	0.619477504282419
tau( Dollar , werkloosheid )	0.579029733959311	6.26165785888588e-13
tau( Aardolieprijs , Consumentenvertrouwen )	-0.150437850741439	0.0657168698478481
tau( Aardolieprijs , werkloosheid )	0.612915898216989	2.68673971959288e-14
tau( Consumentenvertrouwen , werkloosheid )	-0.183000878143410	0.025121580347155

Figure 1

PNG link

Postscript link

PDF link

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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