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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationSun, 26 Dec 2010 09:06:26 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/26/t1293354261qom3w2qhijro560.htm/, Retrieved Mon, 06 May 2024 18:05:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115485, Retrieved Mon, 06 May 2024 18:05:24 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKendall tau correlatie matrix
Estimated Impact165
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
- R PD  [Kendall tau Correlation Matrix] [] [2009-11-10 20:04:49] [b7349fb284cae6f1172638396d27b11f]
-   PD      [Kendall tau Correlation Matrix] [Paper] [2010-12-26 09:06:26] [e247a0a17f1c9a5b89239760575ef468] [Current]
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Dataseries X:
548604	279998	268606
563668	287224	276444
586111	296369	289742
604378	300653	303725
600991	302686	298305
544686	277891	266795
537034	277537	259497
551531	285383	266148
563250	292213	271037
574761	298522	276239
580112	300431	279681
575093	297584	277509
557560	286445	271115
564478	288576	275902
580523	293299	287224
596594	295881	300713
586570	292710	293860
536214	271993	264221
523597	267430	256167
536535	273963	262572
536322	273046	263276
532638	268347	264291
528222	264319	263903
516141	255765	260376
501866	246263	255603
506174	245098	261076
517945	246969	270976
533590	248333	285257
528379	247934	280445
477580	226839	250741
469357	225554	243803
490243	237085	253158
492622	237080	255542
507561	245039	262522
516922	248541	268381
514258	247105	267153
509846	243422	266424
527070	250643	276427
541657	254663	286994
564591	260993	303598
555362	258556	296806
498662	235372	263290
511038	246057	264981
525919	253353	272566
531673	255198	276475
548854	264176	284678
560576	269034	291542
557274	265861	291413
565742	269826	295916
587625	278506	309119
619916	292300	327616
625809	290726	335083
619567	289802	329765
572942	271311	301631
572775	274352	298423
574205	275216	298989
579799	276836	302963
590072	280408	309664
593408	280190	313218
597141	282656	314485
595404	281477	313927




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115485&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115485&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115485&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Totaal , Mannen )0.7202185792349732.22044604925031e-16
tau( Totaal , vrouwen )0.7136612021857924.44089209850063e-16
tau( Mannen , vrouwen )0.4338797814207657.77251858208317e-07

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Totaal , Mannen ) & 0.720218579234973 & 2.22044604925031e-16 \tabularnewline
tau( Totaal , vrouwen ) & 0.713661202185792 & 4.44089209850063e-16 \tabularnewline
tau( Mannen , vrouwen ) & 0.433879781420765 & 7.77251858208317e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115485&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 , Mannen )[/C][C]0.720218579234973[/C][C]2.22044604925031e-16[/C][/ROW]
[ROW][C]tau( Totaal , vrouwen )[/C][C]0.713661202185792[/C][C]4.44089209850063e-16[/C][/ROW]
[ROW][C]tau( Mannen , vrouwen )[/C][C]0.433879781420765[/C][C]7.77251858208317e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115485&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115485&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 , Mannen )0.7202185792349732.22044604925031e-16
tau( Totaal , vrouwen )0.7136612021857924.44089209850063e-16
tau( Mannen , vrouwen )0.4338797814207657.77251858208317e-07



Parameters (Session):
par1 = red ;
Parameters (R input):
par1 = red ;
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')