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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 computationSat, 06 Dec 2008 03:38:23 -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/06/t1228559957rx6n9bpyebvbd9n.htm/, Retrieved Sun, 19 May 2024 11:31:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29480, Retrieved Sun, 19 May 2024 11:31:48 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKendall tau correlation matrix
Estimated Impact182

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 Corre...] [2008-12-06 10:38:23] [3bdbbe597ac6c61989658933956ee6ac] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8,4	7,6	9,5	25	6,6
8,4	7,9	9,1	23,6	6,7
8,4	7,9	9	22,3	6,8
8,6	8,1	9,3	21,8	7,2
8,9	8,2	9,9	20,8	7,6
8,8	8	9,8	19,7	7,6
8,3	7,5	9,4	18,3	7,3
7,5	6,8	8,3	17,4	6,4
7,2	6,5	8	17	6,1
7,5	6,6	8,5	18,1	6,3
8,8	7,6	10,4	23,9	7,1
9,3	8	11,1	25,6	7,5
9,3	8	10,9	25,3	7,4
8,7	7,7	9,9	23,6	7,1
8,2	7,5	9,2	21,9	6,8
8,3	7,6	9,2	21,4	6,9
8,5	7,7	9,5	20,6	7,2
8,6	7,9	9,6	20,5	7,4
8,6	7,8	9,5	20,2	7,3
8,2	7,5	9,1	20,6	6,9
8,1	7,5	8,9	19,7	6,9
8	7,1	9	19,3	6,8
8,6	7,5	10,1	22,8	7,1
8,7	7,5	10,3	23,5	7,2
8,8	7,6	10,2	23,8	7,1
8,5	7,7	9,6	22,6	7
8,4	7,7	9,2	22	6,9
8,5	7,9	9,3	21,7	7
8,7	8,1	9,4	20,7	7,4
8,7	8,2	9,4	20,2	7,5
8,6	8,2	9,2	19,1	7,5
8,5	8,1	9	19,5	7,4
8,3	7,9	9	18,7	7,3
8,1	7,3	9	18,6	7
8,2	6,9	9,8	22,2	6,7
8,1	6,6	10	23,2	6,5
8,1	6,7	9,9	23,5	6,5
7,9	6,9	9,3	21,3	6,5
7,9	7	9	20	6,6
7,9	7,1	9	18,7	6,8
8	7,2	9,1	18,9	6,9
8	7,1	9,1	18,3	6,9
7,9	6,9	9,1	18,4	6,8
8	7	9,2	19,9	6,8
7,7	6,8	8,8	19,2	6,5
7,2	6,4	8,3	18,5	6,1
7,5	6,7	8,4	20,9	6
7,3	6,7	8,1	20,5	5,9
7	6,4	7,8	19,4	5,8
7	6,3	7,9	18,1	5,9
7	6,2	7,9	17	5,9
7,2	6,5	8	17	6,2
7,3	6,8	7,9	17,3	6,3
7,1	6,8	7,5	16,7	6,2
6,8	6,5	7,2	15,5	6
6,6	6,3	6,9	15,3	5,8
6,2	5,9	6,6	13,7	5,5
6,2	5,9	6,7	14,1	5,5
6,8	6,4	7,3	17,3	5,7
6,9	6,4	7,5	18,1	5,8
6,8	6,5	7,2	18,1	5,7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29480&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29480&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29480&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Totaal , Mannen )0.7885014230259740
tau( Totaal , Vrouwen )0.7857163057504740
tau( Totaal , <25j )0.608687122044361.20332632747022e-11
tau( Totaal , >25j )0.804552734322060
tau( Mannen , Vrouwen )0.5458726047534061.91195370646824e-09
tau( Mannen , <25j )0.4488693300002085.99473615192636e-07
tau( Mannen , >25j )0.8078678621967070
tau( Vrouwen , <25j )0.674911311977134.88498130835069e-14
tau( Vrouwen , >25j )0.6335552642709913.08930658832196e-12
tau( <25j , >25j )0.3852468354742691.81674195374182e-05

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Totaal , Mannen ) & 0.788501423025974 & 0 \tabularnewline
tau( Totaal , Vrouwen ) & 0.785716305750474 & 0 \tabularnewline
tau( Totaal , <25j ) & 0.60868712204436 & 1.20332632747022e-11 \tabularnewline
tau( Totaal , >25j ) & 0.80455273432206 & 0 \tabularnewline
tau( Mannen , Vrouwen ) & 0.545872604753406 & 1.91195370646824e-09 \tabularnewline
tau( Mannen , <25j ) & 0.448869330000208 & 5.99473615192636e-07 \tabularnewline
tau( Mannen , >25j ) & 0.807867862196707 & 0 \tabularnewline
tau( Vrouwen , <25j ) & 0.67491131197713 & 4.88498130835069e-14 \tabularnewline
tau( Vrouwen , >25j ) & 0.633555264270991 & 3.08930658832196e-12 \tabularnewline
tau( <25j , >25j ) & 0.385246835474269 & 1.81674195374182e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29480&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]0.788501423025974[/C][C]0[/C][/ROW]
[ROW][C]tau( Totaal , Vrouwen )[/C][C]0.785716305750474[/C][C]0[/C][/ROW]
[ROW][C]tau( Totaal , <25j )[/C][C]0.60868712204436[/C][C]1.20332632747022e-11[/C][/ROW]
[ROW][C]tau( Totaal , >25j )[/C][C]0.80455273432206[/C][C]0[/C][/ROW]
[ROW][C]tau( Mannen , Vrouwen )[/C][C]0.545872604753406[/C][C]1.91195370646824e-09[/C][/ROW]
[ROW][C]tau( Mannen , <25j )[/C][C]0.448869330000208[/C][C]5.99473615192636e-07[/C][/ROW]
[ROW][C]tau( Mannen , >25j )[/C][C]0.807867862196707[/C][C]0[/C][/ROW]
[ROW][C]tau( Vrouwen , <25j )[/C][C]0.67491131197713[/C][C]4.88498130835069e-14[/C][/ROW]
[ROW][C]tau( Vrouwen , >25j )[/C][C]0.633555264270991[/C][C]3.08930658832196e-12[/C][/ROW]
[ROW][C]tau( <25j , >25j )[/C][C]0.385246835474269[/C][C]1.81674195374182e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29480&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29480&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( Totaal , Mannen )0.7885014230259740
tau( Totaal , Vrouwen )0.7857163057504740
tau( Totaal , <25j )0.608687122044361.20332632747022e-11
tau( Totaal , >25j )0.804552734322060
tau( Mannen , Vrouwen )0.5458726047534061.91195370646824e-09
tau( Mannen , <25j )0.4488693300002085.99473615192636e-07
tau( Mannen , >25j )0.8078678621967070
tau( Vrouwen , <25j )0.674911311977134.88498130835069e-14
tau( Vrouwen , >25j )0.6335552642709913.08930658832196e-12
tau( <25j , >25j )0.3852468354742691.81674195374182e-05


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')