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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 19 Dec 2008 06:08:36 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/19/t1229692174amr6wf0znt4v9w1.htm/, Retrieved Wed, 15 May 2024 01:30:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35100, Retrieved Wed, 15 May 2024 01:30:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact173

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Kendall tau matrix] [2008-12-19 13:08:36] [6797a1f4a60918966297e9d9220cabc2] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
519	100,03	103,27
517	100,49	100,87
510	108,76	107,8
509	105,28	104,99
501	104,55	100,76
507	108,91	104,46
569	105,83	100,62
580	82,12	87,84
578	113,71	107,31
565	117,53	115,61
547	104,75	103,43
555	104,3	109,93
562	102,82	104,43
561	106,86	106,69
555	123,1	123,1
544	112,02	109,42
537	103,66	101,46
543	121,78	124,48
594	107,81	101,49
611	93,54	100,46
613	119,41	115,51
611	117,99	113,37
594	116,82	115,4
595	112,62	118,2
591	105,76	106,82
589	107,86	110,17
584	122,06	119,91
573	114,29	112,31
567	109,95	110,62
569	119,99	120,37
621	103,77	97,94
629	96,02	103,02
628	120,83	116,36
612	110,14	108,51
595	119,77	122,54
597	113,61	121,32
593	106,83	112,25
590	108	109,89
580	126,39	129,58
574	105,09	107,2
573	118,95	118,68
573	120,6	118,25
620	106,07	102,67
626	96,59	104,19
620	118,74	117,74
588	121,88	123,3
566	120,89	122,2
557	105,66	112,71
561	113,76	118,53
549	111,92	115,32
532	127,19	127,36
526	109,19	110,45
511	118,05	122,22
499	123,23	123,39
555	114,68	116,2
565	104,57	109,22
542	115,73	116,98
527	129,87	132,89
510	120,31	125,24
514	104,23	115,68
517	123,92	129,28
508	124,1	122,72
493	125,61	128,83
490	133,91	137,79
469	124,47	123,72
478	129,64	130,13
528	128,58	130,4
534	103,55	114,05
518	129,57	134,22

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35100&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35100&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35100&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( X , Y )-0.1736537112018830.0354331895823779
tau( X , Z )-0.2224136202585690.00706054429044285
tau( Y , Z )0.7493606138107420

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( X , Y ) & -0.173653711201883 & 0.0354331895823779 \tabularnewline
tau( X , Z ) & -0.222413620258569 & 0.00706054429044285 \tabularnewline
tau( Y , Z ) & 0.749360613810742 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35100&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]-0.173653711201883[/C][C]0.0354331895823779[/C][/ROW]
[ROW][C]tau( X , Z )[/C][C]-0.222413620258569[/C][C]0.00706054429044285[/C][/ROW]
[ROW][C]tau( Y , Z )[/C][C]0.749360613810742[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35100&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35100&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( X , Y )-0.1736537112018830.0354331895823779
tau( X , Z )-0.2224136202585690.00706054429044285
tau( Y , Z )0.7493606138107420


Figures (Output of Computation)

Input Parameters & R Code

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')