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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, 07 Nov 2009 08:01:54 -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/Nov/07/t1257606177o5vpuowa2a3xti9.htm/, Retrieved Tue, 07 May 2024 03:53:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54427, Retrieved Tue, 07 May 2024 03:53:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact165

Tree of Dependent Computations

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    [Kendall tau Correlation Matrix] [WS 6: Kendall Tau...] [2009-11-07 15:01:54] [b9056af0304697100f456398102f1287] [Current]
-    D      [Kendall tau Correlation Matrix] [WS 6: Kendall Tau...] [2009-11-12 17:00:42] [b97b96148b0223bc16666763988dc147]
-    D      [Kendall tau Correlation Matrix] [Paper: Multivaria...] [2009-12-17 20:21:50] [8cf9233b7464ea02e32be3b30fdac052]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,2	17	6,1	2,4
7,4	18	6,3	2
8,8	23,8	7,1	2,1
9,3	25,5	7,5	2
9,3	25,6	7,4	1,8
8,7	23,7	7,1	2,7
8,2	22	6,8	2,3
8,3	21,3	6,9	1,9
8,5	20,7	7,2	2
8,6	20,4	7,4	2,3
8,5	20,3	7,3	2,8
8,2	20,4	6,9	2,4
8,1	19,8	6,9	2,3
7,9	19,5	6,8	2,7
8,6	23,1	7,1	2,7
8,7	23,5	7,2	2,9
8,7	23,5	7,1	3
8,5	22,9	7	2,2
8,4	21,9	6,9	2,3
8,5	21,5	7,1	2,8
8,7	20,5	7,3	2,8
8,7	20,2	7,5	2,8
8,6	19,4	7,5	2,2
8,5	19,2	7,5	2,6
8,3	18,8	7,3	2,8
8	18,8	7	2,5
8,2	22,6	6,7	2,4
8,1	23,3	6,5	2,3
8,1	23	6,5	1,9
8	21,4	6,5	1,7
7,9	19,9	6,6	2
7,9	18,8	6,8	2,1
8	18,6	6,9	1,7
8	18,4	6,9	1,8
7,9	18,6	6,8	1,8
8	19,9	6,8	1,8
7,7	19,2	6,5	1,3
7,2	18,4	6,1	1,3
7,5	21,1	6,1	1,3
7,3	20,5	5,9	1,2
7	19,1	5,7	1,4
7	18,1	5,9	2,2
7	17	5,9	2,9
7,2	17,1	6,1	3,1
7,3	17,4	6,3	3,5
7,1	16,8	6,2	3,6
6,8	15,3	5,9	4,4
6,4	14,3	5,7	4,1
6,1	13,4	5,4	5,1
6,5	15,3	5,6	5,8
7,7	22,1	6,2	5,9
7,9	23,7	6,3	5,4
7,5	22,2	6	5,5
6,9	19,5	5,6	4,8
6,6	16,6	5,5	3,2
6,9	17,3	5,9	2,7
7,7	19,8	6,5	2,1
8	21,2	6,8	1,9
8	21,5	6,8	0,6
7,7	20,6	6,5	0,7

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'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=54427&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=54427&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54427&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'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Totaal , -25 )0.5768237197353642.04278594040375e-10
tau( Totaal , +25 )0.8266151307230880
tau( Totaal , Geharmoniseerde_consumptieprijsindex )-0.07864013622249250.390780505405504
tau( -25 , +25 )0.3739691948485724.07176194792136e-05
tau( -25 , Geharmoniseerde_consumptieprijsindex )-0.1481788659269010.100521248213804
tau( +25 , Geharmoniseerde_consumptieprijsindex )-0.08555167843345580.352692989747980

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Totaal , -25 ) & 0.576823719735364 & 2.04278594040375e-10 \tabularnewline
tau( Totaal , +25 ) & 0.826615130723088 & 0 \tabularnewline
tau( Totaal , Geharmoniseerde_consumptieprijsindex ) & -0.0786401362224925 & 0.390780505405504 \tabularnewline
tau( -25 , +25 ) & 0.373969194848572 & 4.07176194792136e-05 \tabularnewline
tau( -25 , Geharmoniseerde_consumptieprijsindex ) & -0.148178865926901 & 0.100521248213804 \tabularnewline
tau( +25 , Geharmoniseerde_consumptieprijsindex ) & -0.0855516784334558 & 0.352692989747980 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54427&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]0.576823719735364[/C][C]2.04278594040375e-10[/C][/ROW]
[ROW][C]tau( Totaal , +25 )[/C][C]0.826615130723088[/C][C]0[/C][/ROW]
[ROW][C]tau( Totaal , Geharmoniseerde_consumptieprijsindex )[/C][C]-0.0786401362224925[/C][C]0.390780505405504[/C][/ROW]
[ROW][C]tau( -25 , +25 )[/C][C]0.373969194848572[/C][C]4.07176194792136e-05[/C][/ROW]
[ROW][C]tau( -25 , Geharmoniseerde_consumptieprijsindex )[/C][C]-0.148178865926901[/C][C]0.100521248213804[/C][/ROW]
[ROW][C]tau( +25 , Geharmoniseerde_consumptieprijsindex )[/C][C]-0.0855516784334558[/C][C]0.352692989747980[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54427&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54427&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 , -25 )0.5768237197353642.04278594040375e-10
tau( Totaal , +25 )0.8266151307230880
tau( Totaal , Geharmoniseerde_consumptieprijsindex )-0.07864013622249250.390780505405504
tau( -25 , +25 )0.3739691948485724.07176194792136e-05
tau( -25 , Geharmoniseerde_consumptieprijsindex )-0.1481788659269010.100521248213804
tau( +25 , Geharmoniseerde_consumptieprijsindex )-0.08555167843345580.352692989747980


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')