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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 computationFri, 13 Nov 2009 08:24:18 -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/13/t1258126511sn3yo8az0dgse52.htm/, Retrieved Sun, 05 May 2024 20:01:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56824, Retrieved Sun, 05 May 2024 20:01:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142

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] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D    [Kendall tau Correlation Matrix] [Kendall Tau Plot] [2009-11-13 15:24:18] [b58cdc967a53abb3723a2bc8f9332128] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4	7.2	102.9	271244	   
4.1	7.4	97.4	269907	   
4	8.8	111.4	271296	   
3.8	9.3	87.4	270157	   
4.7	9.3	96.8	271322	   
4.3	8.7	114.1	267179	   
3.9	8.2	110.3	264101	   
4	8.3	103.9	265518	   
4.3	8.5	101.6	269419	   
4.8	8.6	94.6	268714	   
4.4	8.5	95.9	272482	   
4.3	8.2	104.7	268351	   
4.7	8.1	102.8	268175	   
4.7	7.9	98.1	270674	   
4.9	8.6	113.9	272764	   
5	8.7	80.9	272599	   
4.2	8.7	95.7	270333	   
4.3	8.5	113.2	270846	   
4.8	8.4	105.9	270491	   
4.8	8.5	108.8	269160	   
4.8	8.7	102.3	274027	   
4.2	8.7	99	273784	   
4.6	8.6	100.7	276663	   
4.8	8.5	115.5	274525	   
4.5	8.3	100.7	271344	   
4.4	8	109.9	271115	   
4.3	8.2	114.6	270798	   
3.9	8.1	85.4	273911	   
3.7	8.1	100.5	273985	   
4	8	114.8	271917	   
4.1	7.9	116.5	273338	   
3.7	7.9	112.9	270601	   
3.8	8	102	273547	   
3.8	8	106	275363	   
3.8	7.9	105.3	281229	   
3.3	8	118.8	277793	   
3.3	7.7	106.1	279913	   
3.3	7.2	109.3	282500	   
3.2	7.5	117.2	280041	   
3.4	7.3	92.5	282166	   
4.2	7	104.2	290304	   
4.9	7	112.5	283519	   
5.1	7	122.4	287816	   
5.5	7.2	113.3	285226	   
5.6	7.3	100	287595	   
6.4	7.1	110.7	289741	   
6.1	6.8	112.8	289148	   
7.1	6.4	109.8	288301	   
7.8	6.1	117.3	290155	   
7.9	6.5	109.1	289648	   
7.4	7.7	115.9	288225	   
7.5	7.9	96	289351	   
6.8	7.5	99.8	294735	   
5.2	6.9	116.8	305333	   
4.7	6.6	115.7	309030	   
4.1	6.9	99.4	310215	   
3.9	7.7	94.3	321935	   
2.6	8	91	325734	   
2.7	8	93.2	320846	   
1.8	7.7	103.1	323023	   
1	7.3	94.1	319753	   
0.3	7.4	91.8	321753	   
1.3	8.1	102.7	320757	   
1	8.3	82.6	324479	   
1.1	8.2	89.1	324641

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=56824&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=56824&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56824&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( Consumptieprijsindex , Werkloosheidsgraad )-0.00195074517092070.98191080668941
tau( Consumptieprijsindex , IndustriëleProductie )-0.3165338843078370.000229783199625284
tau( Consumptieprijsindex , BrutoSchuldVDSchatkist )-0.007302854916208080.93225391080412
tau( Consumptieprijsindex , )0.8829848548588210
tau( Werkloosheidsgraad , IndustriëleProductie )-0.01410507338133050.86946681402763
tau( Werkloosheidsgraad , BrutoSchuldVDSchatkist )-0.2917582635361770.000673866426427459
tau( Werkloosheidsgraad , )-0.01363525728268860.873917054696092
tau( IndustriëleProductie , BrutoSchuldVDSchatkist )-0.03398883324250060.691663375696903
tau( IndustriëleProductie , )-0.2966206908517820.00054728328993804
tau( BrutoSchuldVDSchatkist , )-0.04326693954936980.614052085062967

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Consumptieprijsindex , Werkloosheidsgraad ) & -0.0019507451709207 & 0.98191080668941 \tabularnewline
tau( Consumptieprijsindex , IndustriëleProductie ) & -0.316533884307837 & 0.000229783199625284 \tabularnewline
tau( Consumptieprijsindex , BrutoSchuldVDSchatkist ) & -0.00730285491620808 & 0.93225391080412 \tabularnewline
tau( Consumptieprijsindex ,  ) & 0.882984854858821 & 0 \tabularnewline
tau( Werkloosheidsgraad , IndustriëleProductie ) & -0.0141050733813305 & 0.86946681402763 \tabularnewline
tau( Werkloosheidsgraad , BrutoSchuldVDSchatkist ) & -0.291758263536177 & 0.000673866426427459 \tabularnewline
tau( Werkloosheidsgraad ,  ) & -0.0136352572826886 & 0.873917054696092 \tabularnewline
tau( IndustriëleProductie , BrutoSchuldVDSchatkist ) & -0.0339888332425006 & 0.691663375696903 \tabularnewline
tau( IndustriëleProductie ,  ) & -0.296620690851782 & 0.00054728328993804 \tabularnewline
tau( BrutoSchuldVDSchatkist ,  ) & -0.0432669395493698 & 0.614052085062967 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56824&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( Consumptieprijsindex , Werkloosheidsgraad )[/C][C]-0.0019507451709207[/C][C]0.98191080668941[/C][/ROW]
[ROW][C]tau( Consumptieprijsindex , IndustriëleProductie )[/C][C]-0.316533884307837[/C][C]0.000229783199625284[/C][/ROW]
[ROW][C]tau( Consumptieprijsindex , BrutoSchuldVDSchatkist )[/C][C]-0.00730285491620808[/C][C]0.93225391080412[/C][/ROW]
[ROW][C]tau( Consumptieprijsindex ,  )[/C][C]0.882984854858821[/C][C]0[/C][/ROW]
[ROW][C]tau( Werkloosheidsgraad , IndustriëleProductie )[/C][C]-0.0141050733813305[/C][C]0.86946681402763[/C][/ROW]
[ROW][C]tau( Werkloosheidsgraad , BrutoSchuldVDSchatkist )[/C][C]-0.291758263536177[/C][C]0.000673866426427459[/C][/ROW]
[ROW][C]tau( Werkloosheidsgraad ,  )[/C][C]-0.0136352572826886[/C][C]0.873917054696092[/C][/ROW]
[ROW][C]tau( IndustriëleProductie , BrutoSchuldVDSchatkist )[/C][C]-0.0339888332425006[/C][C]0.691663375696903[/C][/ROW]
[ROW][C]tau( IndustriëleProductie ,  )[/C][C]-0.296620690851782[/C][C]0.00054728328993804[/C][/ROW]
[ROW][C]tau( BrutoSchuldVDSchatkist ,  )[/C][C]-0.0432669395493698[/C][C]0.614052085062967[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56824&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56824&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( Consumptieprijsindex , Werkloosheidsgraad )-0.00195074517092070.98191080668941
tau( Consumptieprijsindex , IndustriëleProductie )-0.3165338843078370.000229783199625284
tau( Consumptieprijsindex , BrutoSchuldVDSchatkist )-0.007302854916208080.93225391080412
tau( Consumptieprijsindex , )0.8829848548588210
tau( Werkloosheidsgraad , IndustriëleProductie )-0.01410507338133050.86946681402763
tau( Werkloosheidsgraad , BrutoSchuldVDSchatkist )-0.2917582635361770.000673866426427459
tau( Werkloosheidsgraad , )-0.01363525728268860.873917054696092
tau( IndustriëleProductie , BrutoSchuldVDSchatkist )-0.03398883324250060.691663375696903
tau( IndustriëleProductie , )-0.2966206908517820.00054728328993804
tau( BrutoSchuldVDSchatkist , )-0.04326693954936980.614052085062967


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')