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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 10:45:11 -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/t1258134354s7u4jrznhoho48c.htm/, Retrieved Sun, 05 May 2024 15:09:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56939, Retrieved Sun, 05 May 2024 15:09:33 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact105
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [WS 6.3] [2009-11-13 17:45:11] [29af64a72952b0c5025d716b5179273f] [Current]
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Dataseries X:
126,2	111,2	88,8	95,1
127,0	116,7	64,6	97,0
127,1	114,8	50,0	112,7
123,6	100,0	94,1	102,9
125,0	98,8	120,8	97,4
134,7	106,3	82,2	111,4
140,7	119,5	86,4	87,4
137,9	120,7	78,5	96,8
142,1	121,1	60,4	114,1
137,5	112,4	96,3	110,3
136,4	108,2	82,3	103,9
140,7	113,6	91,2	101,6
120,0	106,7	126,3	94,6
123,8	114,3	131,8	95,9
132,2	117,3	135,8	104,7
136,4	109,6	135,3	102,8
144,2	109,9	116,2	98,1
144,9	112,5	104,4	113,9
138,9	116,1	112,5	80,9
129,3	112,0	108,0	95,7
133,3	113,3	94,0	113,2
137,5	107,9	83,2	105,9
140,0	108,2	82,9	108,8
146,3	114,8	116,1	102,3
124,6	105,6	146,9	99,0
130,2	111,9	122,1	100,7
139,0	113,6	74,8	115,5
149,1	108,4	96,1	100,7
151,9	111,1	101,4	109,9
149,0	112,5	68,0	114,6
127,8	112,6	57,3	85,4
113,8	108,7	56,6	100,5
117,5	108,9	36,3	114,8
123,2	104,5	40,7	116,5
127,3	105,9	48,1	112,9
131,5	111,1	65,9	102,0
110,8	102,2	92,7	106,0
112,7	108,3	90,8	105,3
116,9	112,3	80,5	118,8
127,3	110,8	87,3	106,1
130,8	108,6	59,3	109,3
130,6	103,8	46,9	117,2
124,1	96,6	49,1	92,5
113,8	88,0	38,9	104,2
112,3	85,6	44,9	112,5
112,5	88,8	75,4	122,4
112,7	92,9	94,8	113,3
120,4	98,8	124,1	100,0
104,6	88,8	193,3	110,7
107,9	90,5	186,7	112,8
108,5	87,7	194,2	109,8
110,9	81,9	203,4	117,3
111,5	80,2	241,2	109,1
124,5	86,3	210,9	115,9
133,3	94,3	211,8	96,0
125,9	94,6	187,2	99,8
121,1	92,2	162,5	116,8
108,9	88,8	158,9	115,7
105,5	88,2	101,3	99,4
114,8	96,3	105,6	94,3




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=56939&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=56939&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56939&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( WLMan , WLVrouw )0.506242987318841.26270003342199e-08
tau( WLMan , Infl )-0.09566959055549670.281023344265606
tau( WLMan , Prod )-0.1064554197409910.230432491056201
tau( WLVrouw , Infl )-0.2180692441866580.0140498937702044
tau( WLVrouw , Prod )-0.1665726657249590.0607215524097746
tau( Infl , Prod )-0.0966374720692900.275427853586783

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( WLMan , WLVrouw ) & 0.50624298731884 & 1.26270003342199e-08 \tabularnewline
tau( WLMan , Infl ) & -0.0956695905554967 & 0.281023344265606 \tabularnewline
tau( WLMan , Prod ) & -0.106455419740991 & 0.230432491056201 \tabularnewline
tau( WLVrouw , Infl ) & -0.218069244186658 & 0.0140498937702044 \tabularnewline
tau( WLVrouw , Prod ) & -0.166572665724959 & 0.0607215524097746 \tabularnewline
tau( Infl , Prod ) & -0.096637472069290 & 0.275427853586783 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56939&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( WLMan , WLVrouw )[/C][C]0.50624298731884[/C][C]1.26270003342199e-08[/C][/ROW]
[ROW][C]tau( WLMan , Infl )[/C][C]-0.0956695905554967[/C][C]0.281023344265606[/C][/ROW]
[ROW][C]tau( WLMan , Prod )[/C][C]-0.106455419740991[/C][C]0.230432491056201[/C][/ROW]
[ROW][C]tau( WLVrouw , Infl )[/C][C]-0.218069244186658[/C][C]0.0140498937702044[/C][/ROW]
[ROW][C]tau( WLVrouw , Prod )[/C][C]-0.166572665724959[/C][C]0.0607215524097746[/C][/ROW]
[ROW][C]tau( Infl , Prod )[/C][C]-0.096637472069290[/C][C]0.275427853586783[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56939&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56939&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( WLMan , WLVrouw )0.506242987318841.26270003342199e-08
tau( WLMan , Infl )-0.09566959055549670.281023344265606
tau( WLMan , Prod )-0.1064554197409910.230432491056201
tau( WLVrouw , Infl )-0.2180692441866580.0140498937702044
tau( WLVrouw , Prod )-0.1665726657249590.0607215524097746
tau( Infl , Prod )-0.0966374720692900.275427853586783



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')