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Author's title

Author

*Unverified author*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 28 Nov 2007 07:25:56 -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/t119625937124qm5fditp4uvgn.htm/, Retrieved Thu, 02 May 2024 13:41:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7060, Retrieved Thu, 02 May 2024 13:41:36 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Kendall tau correlation

Estimated Impact

187

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

-       [Kendall tau Correlation Matrix] [Paper] [2007-11-28 14:25:56] [c4516de5538230e4cf0ae0b9d9e43dd3] [Current]
-    D    [Kendall tau Correlation Matrix] [paper 1.15 kendal...] [2008-12-05 10:34:20] [a18c43c8b63fa6800a53bb187b9ddd45] 
-           [Kendall tau Correlation Matrix] [paper 1.15 kendal...] [2008-12-08 21:18:28] [2bd2ad6af3eef3a703e9ec23e39bd695] 

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Dataseries X:

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Histogram

Boxplots

0,9383	90,8	15	467.037
0,9217	96,4	3	460.070
0,9095	90	2	447.988
0,892	92,1	-2	442.867
0,8742	97,2	1	436.087
0,8532	95,1	1	431.328
0,8607	88,5	-1	484.015
0,9005	91	-6	509.673
0,9111	90,5	-13	512.927
0,9059	75	-25	502.831
0,8883	66,3	-26	470.984
0,8924	66	-9	471.067
0,8833	68,4	1	476.049
0,87	70,6	3	474.605
0,8758	83,9	6	470.439
0,8858	90,1	2	461.251
0,917	90,6	5	454.724
0,9554	87,1	5	455.626
0,9922	90,8	0	516.847
0,9778	94,1	-5	525.192
0,9808	99,8	-4	522.975
0,9811	96,8	-2	518.585
1,0014	87	-1	509.239
1,0183	96,3	-8	512.238
1,0622	107,1	-16	519.164
1,0773	115,2	-19	517.009
1,0807	106,1	-28	509.933
1,0848	89,5	-11	509.127
1,1582	91,3	-4	500.857
1,1663	97,6	-9	506.971
1,1372	100,7	-12	569.323
1,1139	104,6	-10	579.714
1,1222	94,7	-2	577.992
1,1692	101,8	-13	565.464
1,1702	102,5	0	547.344
1,2286	105,3	0	554.788
1,2613	110,3	4	562.325
1,2646	109,8	7	560.854
1,2262	117,3	5	555.332
1,1985	118,8	2	543.599
1,2007	131,3	-2	536.662
1,2138	125,9	6	542.722
1,2266	133,1	-3	593.530
1,2176	147	1	610.763
1,2218	145,8	0	612.613
1,249	164,4	-7	611.324
1,2991	149,8	-6	594.167
1,3408	137,7	-4	595.454
1,3119	151,7	-4	590.865
1,3014	156,8	-2	589.379
1,3201	180	2	584.428
1,2938	180,4	-5	573.100
1,2694	170,4	-15	567.456
1,2165	191,6	-16	569.028
1,2037	199,5	-18	620.735
1,2292	218,2	-13	628.884
1,2256	217,5	-23	628.232
1,2015	205	-10	612.117
1,1786	194	-10	595.404
1,1856	199,3	-6	597.141
1,2103	219,3	-3	593.408
1,1938	211,1	-4	590.072
1,202	215,2	-7	579.799
1,2271	240,2	-7	574.205
1,277	242,2	-7	572.775
1,265	240,7	-3	572.942
1,2684	255,4	0	619.567
1,2811	253	-5	625.809
1,2727	218,2	-3	619.916
1,2611	203,7	3	587.625
1,2881	205,6	2	565.742
1,3213	215,6	-7	557.274

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7060&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]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=7060&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7060&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( $ , RA )	0.616829792841619	1.84297022087776e-14
tau( $ , CV )	-0.0405784555883213	0.619477504282419
tau( $ , WH )	0.579029733959311	6.26165785888588e-13
tau( RA , CV )	-0.150437850741439	0.0657168698478481
tau( RA , WH )	0.612915898216989	2.68673971959288e-14
tau( CV , WH )	-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( $ , RA ) & 0.616829792841619 & 1.84297022087776e-14 \tabularnewline
tau( $ , CV ) & -0.0405784555883213 & 0.619477504282419 \tabularnewline
tau( $ , WH ) & 0.579029733959311 & 6.26165785888588e-13 \tabularnewline
tau( RA , CV ) & -0.150437850741439 & 0.0657168698478481 \tabularnewline
tau( RA , WH ) & 0.612915898216989 & 2.68673971959288e-14 \tabularnewline
tau( CV , WH ) & -0.183000878143410 & 0.025121580347155 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7060&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( $ , RA )[/C][C]0.616829792841619[/C][C]1.84297022087776e-14[/C][/ROW]
[ROW][C]tau( $ , CV )[/C][C]-0.0405784555883213[/C][C]0.619477504282419[/C][/ROW]
[ROW][C]tau( $ , WH )[/C][C]0.579029733959311[/C][C]6.26165785888588e-13[/C][/ROW]
[ROW][C]tau( RA , CV )[/C][C]-0.150437850741439[/C][C]0.0657168698478481[/C][/ROW]
[ROW][C]tau( RA , WH )[/C][C]0.612915898216989[/C][C]2.68673971959288e-14[/C][/ROW]
[ROW][C]tau( CV , WH )[/C][C]-0.183000878143410[/C][C]0.025121580347155[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7060&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7060&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( $ , RA )	0.616829792841619	1.84297022087776e-14
tau( $ , CV )	-0.0405784555883213	0.619477504282419
tau( $ , WH )	0.579029733959311	6.26165785888588e-13
tau( RA , CV )	-0.150437850741439	0.0657168698478481
tau( RA , WH )	0.612915898216989	2.68673971959288e-14
tau( CV , WH )	-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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Input Parameters & R Code