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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 12 Nov 2007 11:52:49 -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/2007/Nov/12/t1194893301chbhzrm0dtqma1b.htm/, Retrieved Sun, 28 Apr 2024 21:15:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=5308, Retrieved Sun, 28 Apr 2024 21:15:09 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact243
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Kendal Tau Corral...] [2007-11-12 18:52:49] [2cdb7403ed3391afb545b8c0d20da37e] [Current]
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Dataseries X:
513	140	373	96	87
503	132	371	86	75
471	117	354	82	74
471	114	357	92	91
476	113	363	99	101
475	110	364	101	103
470	107	363	102	106
461	103	358	100	102
455	98	357	101	105
456	98	357	100	105
517	137	380	99	100
525	148	378	97	95
523	147	376	97	96
519	139	380	97	98
509	130	379	96	99
512	128	384	92	92
519	127	392	91	84
517	123	394	87	81
510	118	392	82	72
509	114	396	89	89
501	108	392	91	96
507	111	396	90	91
569	151	419	87	88
580	159	421	89	90
578	158	420	95	98
565	148	418	85	87
547	138	410	94	100
555	137	418	94	100
562	136	426	97	104
561	133	428	99	107
555	126	430	97	105
544	120	424	96	102
537	114	423	94	98
543	116	427	100	106
594	153	441	96	97
611	162	449	98	101
613	161	452	98	100
611	149	462	94	93
594	139	455	93	94
595	135	461	94	96
591	130	461	94	96
589	127	463	97	98
584	122	462	98	102
573	117	456	95	95
567	112	455	89	85
569	113	456	89	84
621	149	472	89	82
629	157	472	90	87
628	157	471	86	77
612	147	465	92	90
595	137	459	91	90
597	132	465	95	94
593	125	468	99	97
590	123	467	98	96
580	117	463	95	93
574	114	460	96	93
573	111	462	94	93
573	112	461	98	97
620	144	476	98	100
626	150	476	98	95
620	149	471	98	97
588	134	453	102	103
566	123	443	101	102
557	116	442	92	93
561	117	444	99	99
549	111	438	101	100
532	105	427	99	97
526	102	424	102	104
511	95	416	102	102
499	93	406	101	103
555	124	431	99	100
565	130	434	98	90
542	124	418	98	90




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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=5308&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=5308&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5308&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Totaal , -25 )0.469234239911066.08564953985535e-09
tau( Totaal , 25 )0.7656891097593680
tau( Totaal , CV )-0.1071707013101520.193432586234782
tau( Totaal , Algemeen )-0.1318704820849730.105732360984308
tau( -25 , 25 )0.2265464535453010.00506783763444885
tau( -25 , CV )-0.2290108738975560.0056202526450304
tau( -25 , Algemeen )-0.1866578090644470.0225092851158304
tau( 25 , CV )-0.03749564696652210.649634510480416
tau( 25 , Algemeen )-0.09352101570790170.252044848168310
tau( CV , Algemeen )0.6904565645187432.22044604925031e-16

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Totaal , -25 ) & 0.46923423991106 & 6.08564953985535e-09 \tabularnewline
tau( Totaal , 25 ) & 0.765689109759368 & 0 \tabularnewline
tau( Totaal , CV ) & -0.107170701310152 & 0.193432586234782 \tabularnewline
tau( Totaal , Algemeen
 ) & -0.131870482084973 & 0.105732360984308 \tabularnewline
tau( -25 , 25 ) & 0.226546453545301 & 0.00506783763444885 \tabularnewline
tau( -25 , CV ) & -0.229010873897556 & 0.0056202526450304 \tabularnewline
tau( -25 , Algemeen
 ) & -0.186657809064447 & 0.0225092851158304 \tabularnewline
tau( 25 , CV ) & -0.0374956469665221 & 0.649634510480416 \tabularnewline
tau( 25 , Algemeen
 ) & -0.0935210157079017 & 0.252044848168310 \tabularnewline
tau( CV , Algemeen
 ) & 0.690456564518743 & 2.22044604925031e-16 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5308&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( Totaal , -25 )[/C][C]0.46923423991106[/C][C]6.08564953985535e-09[/C][/ROW]
[ROW][C]tau( Totaal , 25 )[/C][C]0.765689109759368[/C][C]0[/C][/ROW]
[ROW][C]tau( Totaal , CV )[/C][C]-0.107170701310152[/C][C]0.193432586234782[/C][/ROW]
[ROW][C]tau( Totaal , Algemeen
 )[/C][C]-0.131870482084973[/C][C]0.105732360984308[/C][/ROW]
[ROW][C]tau( -25 , 25 )[/C][C]0.226546453545301[/C][C]0.00506783763444885[/C][/ROW]
[ROW][C]tau( -25 , CV )[/C][C]-0.229010873897556[/C][C]0.0056202526450304[/C][/ROW]
[ROW][C]tau( -25 , Algemeen
 )[/C][C]-0.186657809064447[/C][C]0.0225092851158304[/C][/ROW]
[ROW][C]tau( 25 , CV )[/C][C]-0.0374956469665221[/C][C]0.649634510480416[/C][/ROW]
[ROW][C]tau( 25 , Algemeen
 )[/C][C]-0.0935210157079017[/C][C]0.252044848168310[/C][/ROW]
[ROW][C]tau( CV , Algemeen
 )[/C][C]0.690456564518743[/C][C]2.22044604925031e-16[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=5308&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5308&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
pairtaup-value
tau( Totaal , -25 )0.469234239911066.08564953985535e-09
tau( Totaal , 25 )0.7656891097593680
tau( Totaal , CV )-0.1071707013101520.193432586234782
tau( Totaal , Algemeen )-0.1318704820849730.105732360984308
tau( -25 , 25 )0.2265464535453010.00506783763444885
tau( -25 , CV )-0.2290108738975560.0056202526450304
tau( -25 , Algemeen )-0.1866578090644470.0225092851158304
tau( 25 , CV )-0.03749564696652210.649634510480416
tau( 25 , Algemeen )-0.09352101570790170.252044848168310
tau( CV , Algemeen )0.6904565645187432.22044604925031e-16



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')