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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 computationWed, 11 Nov 2009 04:48:41 -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/11/t1257940224thre8fe08p3nru9.htm/, Retrieved Fri, 26 Apr 2024 20:33:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55507, Retrieved Fri, 26 Apr 2024 20:33:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsETSHWW6(6)
Estimated Impact151

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] [Workshop 6: Analy...] [2009-11-11 11:48:41] [af31b947d6acaef3c71f428c4bb503e9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.86	8.9	100.64	101
2.55	8.6	100.63	100.88
2.27	8.3	100.43	100.55
2.26	8.3	100.80	100.83
2.57	8.3	101.33	101.51
3.07	8.4	101.88	102.16
2.76	8.5	101.85	102.39
2.51	8.4	102.04	102.54
2.87	8.6	102.22	102.85
3.14	8.5	102.63	103.47
3.11	8.5	102.65	103.57
3.16	8.5	102.54	103.69
2.47	8.5	102.37	103.5
2.57	8.5	102.68	103.47
2.89	8.5	102.76	103.45
2.63	8.5	102.82	103.48
2.38	8.5	103.31	103.93
1.69	8.5	103.23	103.89
1.96	8.5	103.60	104.4
2.19	8.5	103.95	104.79
1.87	8.6	103.93	104.77
1.60	8.4	104.25	105.13
1.63	8.1	104.38	105.26
1.22	8	104.36	104.96
1.21	8	104.32	104.75
1.49	8	104.58	105.01
1.64	8	104.68	105.15
1.66	7.9	104.92	105.2
1.77	7.8	105.46	105.77
1.82	7.8	105.23	105.78
1.78	7.9	105.58	106.26
1.28	8.1	105.34	106.13
1.29	8	105.28	106.12
1.37	7.6	105.70	106.57
1.12	7.3	105.67	106.44
1.51	7	105.71	106.54
2.24	6.8	106.19	107.1
2.94	7	106.93	108.1
3.09	7.1	107.44	108.4
3.46	7.2	107.85	108.84
3.64	7.1	108.71	109.62
4.39	6.9	109.32	110.42
4.15	6.7	109.49	110.67
5.21	6.7	110.20	111.66
5.80	6.6	110.62	112.28
5.91	6.9	111.22	112.87
5.39	7.3	110.88	112.18
5.46	7.5	111.15	112.16
4.72	7.3	111.29	112.36
3.14	7.1	111.09	111.49
2.63	6.9	111.24	111.25
2.32	7.1	111.45	111.36
1.93	7.5	111.75	111.74
0.62	7.7	111.07	111.1
0.6	7.8	111.17	111.33
-0.37	7.8	110.96	111.25
-1.1	7.7	110.50	111.4
-1.68	7.7	110.48	110.97
-0.78	7.8	110.66	111.32
-1.19	7.9	110.46	111.02

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 2 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55507&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55507&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55507&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Inflatiegraad , Werkloosheidsgraad )-0.04563939735550480.616786850699143
tau( Inflatiegraad , Gezondheidsindex )-0.04467064089140140.614340742923976
tau( Inflatiegraad , Consumptieprijzenindex )-0.003960396198067670.964386260936424
tau( Werkloosheidsgraad , Gezondheidsindex )-0.6273019852920235.84242756829644e-12
tau( Werkloosheidsgraad , Consumptieprijzenindex )-0.634091198604983.54383220227415e-12
tau( Gezondheidsindex , Consumptieprijzenindex )0.9067271092608330

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Inflatiegraad , Werkloosheidsgraad ) & -0.0456393973555048 & 0.616786850699143 \tabularnewline
tau( Inflatiegraad , Gezondheidsindex ) & -0.0446706408914014 & 0.614340742923976 \tabularnewline
tau( Inflatiegraad , Consumptieprijzenindex ) & -0.00396039619806767 & 0.964386260936424 \tabularnewline
tau( Werkloosheidsgraad , Gezondheidsindex ) & -0.627301985292023 & 5.84242756829644e-12 \tabularnewline
tau( Werkloosheidsgraad , Consumptieprijzenindex ) & -0.63409119860498 & 3.54383220227415e-12 \tabularnewline
tau( Gezondheidsindex , Consumptieprijzenindex ) & 0.906727109260833 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55507&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( Inflatiegraad , Werkloosheidsgraad )[/C][C]-0.0456393973555048[/C][C]0.616786850699143[/C][/ROW]
[ROW][C]tau( Inflatiegraad , Gezondheidsindex )[/C][C]-0.0446706408914014[/C][C]0.614340742923976[/C][/ROW]
[ROW][C]tau( Inflatiegraad , Consumptieprijzenindex )[/C][C]-0.00396039619806767[/C][C]0.964386260936424[/C][/ROW]
[ROW][C]tau( Werkloosheidsgraad , Gezondheidsindex )[/C][C]-0.627301985292023[/C][C]5.84242756829644e-12[/C][/ROW]
[ROW][C]tau( Werkloosheidsgraad , Consumptieprijzenindex )[/C][C]-0.63409119860498[/C][C]3.54383220227415e-12[/C][/ROW]
[ROW][C]tau( Gezondheidsindex , Consumptieprijzenindex )[/C][C]0.906727109260833[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55507&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55507&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( Inflatiegraad , Werkloosheidsgraad )-0.04563939735550480.616786850699143
tau( Inflatiegraad , Gezondheidsindex )-0.04467064089140140.614340742923976
tau( Inflatiegraad , Consumptieprijzenindex )-0.003960396198067670.964386260936424
tau( Werkloosheidsgraad , Gezondheidsindex )-0.6273019852920235.84242756829644e-12
tau( Werkloosheidsgraad , Consumptieprijzenindex )-0.634091198604983.54383220227415e-12
tau( Gezondheidsindex , Consumptieprijzenindex )0.9067271092608330


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')