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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 computationFri, 13 Nov 2009 14:12:17 -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/t12581468041zro357fqxbkloq.htm/, Retrieved Sun, 05 May 2024 13:03:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57138, Retrieved Sun, 05 May 2024 13:03:26 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact148
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2009-11-13 21:12:17] [7cc673c2b3a8ab442a3ec6ca430f2445] [Current]
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Dataseries X:
109,87	103,5	104,9	115,7
95,74	102,8	105,2	115,2
123,06	118,72	105,5	115,1
123,39	119,01	105,7	115,4
120,28	118,61	105,9	115,5
115,33	120,43	106,2	115,1
110,4	111,83	106,5	114,6
114,49	116,79	106,8	114,5
132,03	131,71	107	114,4
123,16	120,57	107,2	113,9
118,82	117,83	107,6	113,1
128,32	130,8	107,9	112,6
112,24	107,46	108,2	112,6
104,53	112,09	108,4	112,7
132,57	129,47	108,8	112,5
122,52	119,72	109,3	112,2
131,8	134,81	110,1	112
124,55	135,8	110,9	119,4
120,96	129,27	111,7	119,3
122,6	126,94	112,5	119,3
145,52	153,45	113,4	119,2
118,57	121,86	114,2	118,7
134,25	133,47	114,9	118
136,7	135,34	115,5	117,5
121,37	117,1	116,3	117,7
111,63	120,65	117,3	118,4
134,42	132,49	118,4	119
137,65	137,6	119,5	119,3
137,86	138,69	120,5	119,5
119,77	125,53	121,4	119,8
130,69	133,09	122,1	120
128,28	129,08	123	120
147,45	145,94	123,9	120,1
128,42	129,07	124,7	120,6
136,9	139,69	125,4	121,2
143,95	142,09	125,9	121,6
135,64	137,29	126,2	121,6
122,48	127,03	126,6	121,3
136,83	137,25	127,1	121
153,04	156,87	127,5	120,8
142,71	150,89	127,7	121
123,46	139,14	127,7	121,5
144,37	158,3	127,5	121,8
146,15	149	127	121,7
147,61	158,36	126,3	121,3
158,51	168,06	125,7	120,7
147,4	153,38	125,1	120
165,05	173,86	124,4	119,3
154,64	162,47	123,5	118,5
126,2	145,17	122,4	117,7
157,36	168,89	121	117,1
154,15	166,64	119,6	116,6
123,21	140,07	118,2	116
113,07	128,84	117,1	115,2
110,45	123,41	116,3	114,4
113,57	120,3	115,4	113,9
122,44	129,67	114,7	113,5
114,93	118,1	114	113,1
111,85	113,91	113,4	112,8
126,04	131,09	112,7	112,6
121,34	119,15	112,1	112,3




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=57138&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=57138&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57138&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'Gwilym Jenkins' @ 72.249.127.135







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Uitvoer , Invoer )0.7628415300546450
tau( Uitvoer , Invgdn )0.4332606531877008.26810983900472e-07
tau( Uitvoer , Consgdn )0.3731856589281362.36400986273200e-05
tau( Invoer , Invgdn )0.5328230760161861.34783761929214e-09
tau( Invoer , Consgdn )0.4116584072712433.11298219046741e-06
tau( Invgdn , Consgdn )0.5848757222407093.62445629065178e-11

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Uitvoer , Invoer ) & 0.762841530054645 & 0 \tabularnewline
tau( Uitvoer , Invgdn ) & 0.433260653187700 & 8.26810983900472e-07 \tabularnewline
tau( Uitvoer , Consgdn ) & 0.373185658928136 & 2.36400986273200e-05 \tabularnewline
tau( Invoer , Invgdn ) & 0.532823076016186 & 1.34783761929214e-09 \tabularnewline
tau( Invoer , Consgdn ) & 0.411658407271243 & 3.11298219046741e-06 \tabularnewline
tau( Invgdn , Consgdn ) & 0.584875722240709 & 3.62445629065178e-11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57138&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( Uitvoer , Invoer )[/C][C]0.762841530054645[/C][C]0[/C][/ROW]
[ROW][C]tau( Uitvoer , Invgdn )[/C][C]0.433260653187700[/C][C]8.26810983900472e-07[/C][/ROW]
[ROW][C]tau( Uitvoer , Consgdn )[/C][C]0.373185658928136[/C][C]2.36400986273200e-05[/C][/ROW]
[ROW][C]tau( Invoer , Invgdn )[/C][C]0.532823076016186[/C][C]1.34783761929214e-09[/C][/ROW]
[ROW][C]tau( Invoer , Consgdn )[/C][C]0.411658407271243[/C][C]3.11298219046741e-06[/C][/ROW]
[ROW][C]tau( Invgdn , Consgdn )[/C][C]0.584875722240709[/C][C]3.62445629065178e-11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57138&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57138&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( Uitvoer , Invoer )0.7628415300546450
tau( Uitvoer , Invgdn )0.4332606531877008.26810983900472e-07
tau( Uitvoer , Consgdn )0.3731856589281362.36400986273200e-05
tau( Invoer , Invgdn )0.5328230760161861.34783761929214e-09
tau( Invoer , Consgdn )0.4116584072712433.11298219046741e-06
tau( Invgdn , Consgdn )0.5848757222407093.62445629065178e-11



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')