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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 08:45:16 -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/t11962641149iv44y3ij2mf3yy.htm/, Retrieved Thu, 02 May 2024 04:26:03 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14502, Retrieved Thu, 02 May 2024 04:26:03 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Klaas Van Pelt

Estimated Impact

180

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

-       [Kendall tau Correlation Matrix] [Kendall Tau 2] [2007-11-28 15:45:16] [8fe24fc91a1c75911c9bd96fe8e98ab3] [Current]

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Dataseries X:

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Histogram

Boxplots

-2364	-34	0	-0,7
4658	-25,7	0	-0,7
2168	-27,7	0	1,8
-3325	11,7	0	1,9
-5995	-7,7	-0,2	-0,1
-5572	-5,6	-0,1	-7
-8463	-2,8	-0,1	-1,4
-1032	-3,6	1,1	3,1
4055	5,6	-0,4	-5,7
-11397	6,6	-0,1	-4,7
-10714	-15,6	0,1	-2,9
17543	-1,1	-1,1	3,9
-9774	-1	0,4	-1,1
-5876	7,7	0	4,1
-8917	16,7	0,1	6,1
-12380	-8,2	-0,1	-0,2
-3044	-1,6	0,1	-3,9
-2265	9,6	0,2	-1,2
-4691	12,6	0,1	1
3413	-7,5	0,6	9,7
3934	-9,4	0	6,3
-6857	-11,7	0	-7,3
-1861	17,7	0	0
16515	-0,8	-1	-11
-2131	7	0,4	6
9367	4,7	0,5	-0,4
2572	5,2	-0,8	-7,5
-3426	21,4	-0,1	-6,4
1922	3,4	0,1	1,5
-5839	11,1	-1,2	2
-4168	-9,6	1,5	2,8
2277	19,2	0,4	1,2
2018	22,4	0	0,2
-6147	26,7	1	1,7
-3897	15,8	-0,3	-2,4
14195	17,2	-1,3	0,5
-2438	18,1	-0,3	-2,5
-287	8,9	0,5	4
-9956	4,8	0,8	2,1
-9629	0,9	-0,9	8,3
4365	-1,4	-1	1,5
-6349	0,4	0,8	0,1
726	-2,1	-0,5	9,1
2147	1,1	1,2	3,1
-581	-1,1	0,2	11,6
-4303	-23,2	0,3	-6,4
-8471	-15,4	-0,2	0
18149	5,1	-1,5	-18,4
-237	-12,6	-0,3	2,9
8915	1,9	0,2	12
-1931	-8,2	0,9	3,4
254	-26,2	-0,4	-4,9
1286	16,7	-0,3	5,9
-8887	0,1	0,4	6,9
-642	12,3	0,5	4,4
-525	-5,8	-0,3	15,1
1311	-6,9	1,8	6,3
-2403	23	0,1	-10,2
-9112	10,1	0,2	-0,1
20426	21,6	-1,9	6,1
-5405	7,2	2	-0,4
1145	-9,9	0	0,4
-8647	-1,7	0,9	5,5
-2065	16,7	-0,2	-0,6
-958	-14,9	0	-2,4
-3273	-0,2	0	4,4
531	1,5	0	-1,6

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14502&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14502&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14502&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	2 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( x , y )	0.0217342226640997	0.795037610790675
tau( x , z )	-0.178301631478853	0.0376951296670816
tau( x , a )	0.0798007468886106	0.340802188477051
tau( y , z )	-0.0387848095966135	0.651577354073615
tau( y , a )	0.0095324645808805	0.909499650072978
tau( z , a )	0.182490218858383	0.033837702378253

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( x , y ) & 0.0217342226640997 & 0.795037610790675 \tabularnewline
tau( x , z ) & -0.178301631478853 & 0.0376951296670816 \tabularnewline
tau( x , a ) & 0.0798007468886106 & 0.340802188477051 \tabularnewline
tau( y , z ) & -0.0387848095966135 & 0.651577354073615 \tabularnewline
tau( y , a ) & 0.0095324645808805 & 0.909499650072978 \tabularnewline
tau( z , a ) & 0.182490218858383 & 0.033837702378253 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14502&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( x , y )[/C][C]0.0217342226640997[/C][C]0.795037610790675[/C][/ROW]
[ROW][C]tau( x , z )[/C][C]-0.178301631478853[/C][C]0.0376951296670816[/C][/ROW]
[ROW][C]tau( x , a )[/C][C]0.0798007468886106[/C][C]0.340802188477051[/C][/ROW]
[ROW][C]tau( y , z )[/C][C]-0.0387848095966135[/C][C]0.651577354073615[/C][/ROW]
[ROW][C]tau( y , a )[/C][C]0.0095324645808805[/C][C]0.909499650072978[/C][/ROW]
[ROW][C]tau( z , a )[/C][C]0.182490218858383[/C][C]0.033837702378253[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14502&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14502&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( x , y )	0.0217342226640997	0.795037610790675
tau( x , z )	-0.178301631478853	0.0376951296670816
tau( x , a )	0.0798007468886106	0.340802188477051
tau( y , z )	-0.0387848095966135	0.651577354073615
tau( y , a )	0.0095324645808805	0.909499650072978
tau( z , a )	0.182490218858383	0.033837702378253

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;

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