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Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 11 Nov 2009 07:50:42 -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/2009/Nov/11/t125795290612wdxsac991edj0.htm/, Retrieved Sat, 20 Apr 2024 06:35:27 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55679, Retrieved Sat, 20 Apr 2024 06:35:27 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

151

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...] [2009-11-11 14:50:42] [82f29a5d509ab8039aab37a0145f886d] [Current]

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Dataseries X:

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Histogram

Boxplots

1.4	562	117.1	2.9
1.2	561	118.7	4.9
1	555	126.5	7.2
1.7	544	127.5	8.7
2.4	537	134.6	9.1
2	543	131.8	8.9
2.1	594	135.9	9
2	611	142.7	11.6
1.8	613	141.7	9.6
2.7	611	153.4	9.1
2.3	594	145	9.2
1.9	595	137.7	10.8
2	591	148.3	11
2.3	589	152.2	8.5
2.8	584	169.4	6.5
2.4	573	168.6	7.2
2.3	567	161.1	7.8
2.7	569	174.1	8.7
2.7	621	179	7.8
2.9	629	190.6	7.5
3	628	190	7.7
2.2	612	181.6	7.5
2.3	595	174.8	8.3
2.8	597	180.5	7.9
2.8	593	196.8	10.4
2.8	590	193.8	11.5
2.2	580	197	14
2.6	574	216.3	11.9
2.8	573	221.4	11.9
2.5	573	217.9	10.3
2.4	620	229.7	11.3
2.3	626	227.4	9.9
1.9	620	204.2	8.9
1.7	588	196.6	9.2
2	566	198.8	8.8
2.1	557	207.5	6.7
1.7	561	190.7	7.1
1.8	549	201.6	6.6
1.8	532	210.5	7.2
1.8	526	223.5	5
1.3	511	223.8	5.3
1.3	499	231.2	6.3
1.3	555	244	8
1.2	565	234.7	7.6
1.4	542	250.2	7
2.2	527	265.7	6.9
2.9	510	287.6	6.8
3.1	514	283.3	7.5
3.5	517	295.4	6.4
3.6	508	312.3	8
4.4	493	333.8	6.4
4.1	490	347.7	9.6
5.1	469	383.2	7.5
5.8	478	407.1	9
5.9	528	413.6	7.8
5.4	534	362.7	7.8
5.5	518	321.9	8.7
4.8	506	239.4	4.3
3.2	502	191	-0.4
2.7	516	159.7	-4.9
2.1	528	163.4	-10.1

Summary of computational 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 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=55679&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=55679&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55679&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 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( 1 , 2 )	-0.113007164002097	0.205689098466917
tau( 1 , 3 )	0.351417833798177	7.96839774175329e-05
tau( 1 , 4 )	0.0654204048412299	0.465581773002915
tau( 2 , 3 )	-0.364932876462981	3.39343284122723e-05
tau( 2 , 4 )	0.345477980787045	9.66679946543536e-05
tau( 3 , 4 )	-0.0671453619429581	0.447448131353856

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( 1 , 2 ) & -0.113007164002097 & 0.205689098466917 \tabularnewline
tau( 1 , 3 ) & 0.351417833798177 & 7.96839774175329e-05 \tabularnewline
tau( 1 , 4 ) & 0.0654204048412299 & 0.465581773002915 \tabularnewline
tau( 2 , 3 ) & -0.364932876462981 & 3.39343284122723e-05 \tabularnewline
tau( 2 , 4 ) & 0.345477980787045 & 9.66679946543536e-05 \tabularnewline
tau( 3 , 4 ) & -0.0671453619429581 & 0.447448131353856 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55679&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( 1 , 2 )[/C][C]-0.113007164002097[/C][C]0.205689098466917[/C][/ROW]
[ROW][C]tau( 1 , 3 )[/C][C]0.351417833798177[/C][C]7.96839774175329e-05[/C][/ROW]
[ROW][C]tau( 1 , 4 )[/C][C]0.0654204048412299[/C][C]0.465581773002915[/C][/ROW]
[ROW][C]tau( 2 , 3 )[/C][C]-0.364932876462981[/C][C]3.39343284122723e-05[/C][/ROW]
[ROW][C]tau( 2 , 4 )[/C][C]0.345477980787045[/C][C]9.66679946543536e-05[/C][/ROW]
[ROW][C]tau( 3 , 4 )[/C][C]-0.0671453619429581[/C][C]0.447448131353856[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55679&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55679&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( 1 , 2 )	-0.113007164002097	0.205689098466917
tau( 1 , 3 )	0.351417833798177	7.96839774175329e-05
tau( 1 , 4 )	0.0654204048412299	0.465581773002915
tau( 2 , 3 )	-0.364932876462981	3.39343284122723e-05
tau( 2 , 4 )	0.345477980787045	9.66679946543536e-05
tau( 3 , 4 )	-0.0671453619429581	0.447448131353856

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