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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

Tue, 23 Dec 2008 05:22:38 -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/2008/Dec/23/t1230035143saer4n6vium6i5x.htm/, Retrieved Fri, 17 May 2024 04:17:55 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36279, Retrieved Fri, 17 May 2024 04:17:55 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

195

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

-       [Kendall tau Correlation Matrix] [Paper25] [2008-12-23 12:22:38] [00d31cd882ff97e92e4adcac6f6719d5] [Current]
-         [Kendall tau Correlation Matrix] [Paper 25] [2008-12-24 12:25:59] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Histogram

Boxplots

528,00	4.256	65,1
478,00	5.008	72,5
469,00	4.181	70,6
490,00	4.666	81,9
493,00	4.476	72
508,00	4.912	70,9
517,00	4.340	71,1
514,00	3.830	65,1
510,00	4.285	78,1
527,00	5.537	92
542,00	3.813	77,8
565,00	4.610	63,3
555,00	4.207	56,2
499,00	5.099	79,2
511,00	4.112	69
526,00	4.199	66,1
532,00	5.110	77,5
549,00	4.218	69,3
561,00	4.736	70,2
557,00	4.624	70,2
566,00	4.145	78,2
588,00	5.299	85,4
620,00	5.011	82,4
626,00	4.730	61,2
620,00	4.619	52,2
573,00	5.578	85,3
573,00	5.369	79,9
574,00	4.902	72,2
580,00	6.102	85,7
590,00	5.024	75,5
593,00	5.731	69,2
597,00	5.732	77,6
595,00	4.491	85,3
612,00	4.755	77
628,00	5.208	89,9
629,00	4.962	60
621,00	4.163	54,3
569,00	5.592	84
567,00	5.754	69,9
573,00	4.929	75,1
584,00	5.219	81,7
589,00	4.429	69,9
591,00	4.143	68,3
595,00	4.308	77,3
594,00	3.996	77,4
611,00	4.634	85,3
613,00	4.138	91
611,00	3.759	60,6
594,00	3.922	57,6
543,00	5.560	93,8
537,00	4.004	78,7
544,00	3.937	80,3
555,00	5.250	89,8
561,00	3.908	77,5
562,00	4.814	71,7
555,00	4.407	83,2
547,00	3.243	86,2
565,00	3.740	100,7
578,00	3.949	100,8
580,00	3.711	57,1
569,00	3.796	62,5
507,00	4.145	79,7
501,00	3.499	80,3
509,00	4.164	92,4
510,00	3.902	91,8
517,00	3.186	85,8
519,00	3.353	84,2
512,00	3.475	93,1
509,00	3.032	101,2

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 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=36279&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]3 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=36279&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36279&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	3 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( W , VPW )	0.178007033554233	0.0311432378980774
tau( W , PDC )	-0.134990608837166	0.102650484028279
tau( VPW , PDC )	0.0397181737760522	0.62997822639707

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( W , VPW ) & 0.178007033554233 & 0.0311432378980774 \tabularnewline
tau( W , PDC ) & -0.134990608837166 & 0.102650484028279 \tabularnewline
tau( VPW , PDC ) & 0.0397181737760522 & 0.62997822639707 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36279&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( W , VPW )[/C][C]0.178007033554233[/C][C]0.0311432378980774[/C][/ROW]
[ROW][C]tau( W , PDC )[/C][C]-0.134990608837166[/C][C]0.102650484028279[/C][/ROW]
[ROW][C]tau( VPW , PDC )[/C][C]0.0397181737760522[/C][C]0.62997822639707[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36279&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36279&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( W , VPW )	0.178007033554233	0.0311432378980774
tau( W , PDC )	-0.134990608837166	0.102650484028279
tau( VPW , PDC )	0.0397181737760522	0.62997822639707

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