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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 computationSat, 05 Dec 2009 07:42:32 -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/2009/Dec/05/t12600241834ongb0raexokcum.htm/, Retrieved Sun, 28 Apr 2024 13:06:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=64272, Retrieved Sun, 28 Apr 2024 13:06:39 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsJSSHWPAP16
Estimated Impact150
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
- RMPD  [Univariate Explorative Data Analysis] [Tijdreeks 4] [2009-11-03 12:07:52] [214e6e00abbde49700521a7ef1d30da2]
- RMPD      [Kendall tau Correlation Matrix] [Kendal Tau Correl...] [2009-12-05 14:42:32] [c8fd62404619100d8e91184019148412] [Current]
- RM D        [Box-Cox Linearity Plot] [Box Cox Lineairit...] [2009-12-06 15:47:52] [214e6e00abbde49700521a7ef1d30da2]
- RMPD          [Bivariate Kernel Density Estimation] [Bivariate Kernal ...] [2009-12-10 16:40:47] [214e6e00abbde49700521a7ef1d30da2]
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Dataseries X:
5	6	445	369
7	5	301	380
6	7	350	474
2	10	305	413
7	10	450	537
9	5	360	439
11	8	287	355
7	2	417	473
7	11	361	435
14	7	478	478
3	11	302	450
4	9	294	365
4	2	300	315
5	3	364	340
4	12	356	326
7	9	340	483
6	7	377	406
10	4	507	409
7	6	321	423
7	9	354	404
5	10	549	551
9	2	444	467
2	6	400	332
1	2	401	442
3	6	259	305
7	6	288	368
7	9	346	411
4	2	287	318
7	10	381	398
8	16	474	586
4	4	329	367
4	4	423	383
5	11	407	533
7	3	412	527
5	5	566	418
7	3	372	576
3	5	290	359
4	11	354	342
6	8	370	456
4	3	377	406
7	1	467	374
5	7	409	568
5	5	310	335
5	6	434	458
0	9	339	456
3	7	385	386
7	8	469	457
6	4	313	396
4	6	373	366
3	4	310	499
6	5	320	354
2	5	340	365
5	13	489	594
3	4	419	456
6	8	460	366
4	4	324	398
5	5	352	468
7	9	473	609
6	4	340	418
4	8	282	352




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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=64272&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=64272&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64272&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( aantdoddon , aantdodvrij )0.04947273027571170.611267383935891
tau( aantdoddon , aantongdon )0.230531736605290.0142792984435007
tau( aantdoddon , aantongvrij )0.2556090045969680.00660825859608849
tau( aantdodvrij , aantongdon )0.0477820810390770.603308598144671
tau( aantdodvrij , aantongvrij )0.1345358703837290.143537995847925
tau( aantongdon , aantongvrij )0.379007107449612.02724066482585e-05

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( aantdoddon , aantdodvrij ) & 0.0494727302757117 & 0.611267383935891 \tabularnewline
tau( aantdoddon , aantongdon ) & 0.23053173660529 & 0.0142792984435007 \tabularnewline
tau( aantdoddon , aantongvrij ) & 0.255609004596968 & 0.00660825859608849 \tabularnewline
tau( aantdodvrij , aantongdon ) & 0.047782081039077 & 0.603308598144671 \tabularnewline
tau( aantdodvrij , aantongvrij ) & 0.134535870383729 & 0.143537995847925 \tabularnewline
tau( aantongdon , aantongvrij ) & 0.37900710744961 & 2.02724066482585e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=64272&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( aantdoddon , aantdodvrij )[/C][C]0.0494727302757117[/C][C]0.611267383935891[/C][/ROW]
[ROW][C]tau( aantdoddon , aantongdon )[/C][C]0.23053173660529[/C][C]0.0142792984435007[/C][/ROW]
[ROW][C]tau( aantdoddon , aantongvrij )[/C][C]0.255609004596968[/C][C]0.00660825859608849[/C][/ROW]
[ROW][C]tau( aantdodvrij , aantongdon )[/C][C]0.047782081039077[/C][C]0.603308598144671[/C][/ROW]
[ROW][C]tau( aantdodvrij , aantongvrij )[/C][C]0.134535870383729[/C][C]0.143537995847925[/C][/ROW]
[ROW][C]tau( aantongdon , aantongvrij )[/C][C]0.37900710744961[/C][C]2.02724066482585e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=64272&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=64272&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( aantdoddon , aantdodvrij )0.04947273027571170.611267383935891
tau( aantdoddon , aantongdon )0.230531736605290.0142792984435007
tau( aantdoddon , aantongvrij )0.2556090045969680.00660825859608849
tau( aantdodvrij , aantongdon )0.0477820810390770.603308598144671
tau( aantdodvrij , aantongvrij )0.1345358703837290.143537995847925
tau( aantongdon , aantongvrij )0.379007107449612.02724066482585e-05



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')