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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 computationThu, 18 Dec 2008 07:45:00 -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/2008/Dec/18/t1229611685jg645b49hgnjhvp.htm/, Retrieved Sat, 11 May 2024 18:31:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=34809, Retrieved Sat, 11 May 2024 18:31:21 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact156
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2008-12-18 14:45:00] [fa8b44cd657c07c6ee11bb2476ca3f8d] [Current]
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Dataseries X:
93,0	72,5	95,9	99,3
99,2	72,0	95,3	98,7
112,2	98,8	100,4	107,9
112,1	75,2	97,3	101,0
103,3	81,2	82,3	97,6
108,2	88,0	97,0	103,0
90,4	54,6	93,5	94,1
72,8	68,6	90,9	94,1
111,0	101,5	107,8	115,1
117,9	93,4	110,9	116,5
111,3	84,5	98,1	103,4
110,5	91,4	106,5	112,5
94,8	64,5	93,4	95,6
100,4	64,5	95,7	97,5
132,1	117,3	109,0	119,3
114,6	73,5	97,6	100,9
101,9	79,7	92,7	97,7
130,2	102,6	107,5	115,3
84,0	57,9	91,7	92,8
86,4	73,1	95,7	99,2
122,3	102,4	111,4	118,7
120,9	82,3	106,0	110,1
110,2	89,1	104,8	110,3
112,6	84,7	108,7	112,9
102,0	81,4	97,3	102,2
105,0	67,5	97,1	99,4
130,5	113,9	106,1	116,1
115,5	83,8	98,6	103,8
103,7	73,9	98,5	101,8
130,9	103,9	105,5	113,7
89,1	67,9	86,2	89,7
93,8	62,5	98,3	99,5
123,8	125,4	111,3	122,9
111,9	79,1	105,0	108,6
118,3	106,3	105,7	114,4
116,9	96,2	103,5	110,5
103,6	94,3	96,9	104,1
116,6	85,6	98,1	103,6
141,3	117,4	111,7	121,6
107,0	88,5	94,7	101,1
125,2	124,2	104,2	116,0
136,4	119,3	109,7	120,1
91,6	76,8	91,3	96,0
95,3	70,6	102,6	105,0
132,3	122,1	114,2	124,7
130,6	109,5	115,8	123,9
131,9	119,9	113,5	123,6
118,6	102,3	107,1	114,8
114,3	79,6	104,5	108,8
111,3	78,2	101,9	106,1
126,5	103,6	116,0	123,2
112,1	77,8	102,0	106,2
119,3	99,1	108,1	115,2
142,4	105,7	112,9	120,6
101,1	84,1	104,5	109,5
97,4	88,7	109,1	114,4
129,1	108,0	113,4	121,4
136,9	98,1	123,9	129,5
129,8	101,0	117,7	124,3
123,9	82,0	108,3	112,6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34809&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34809&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34809&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( INV , DC )0.639525046764215.43787237461402e-13
tau( INV , NDC )0.6440295315439383.9013237085328e-13
tau( INV , CON )0.7070135746606331.55431223447522e-15
tau( DC , NDC )0.5606791269408582.59591459439434e-10
tau( DC , CON )0.7051173592528471.77635683940025e-15
tau( NDC , CON )0.8568196052350810

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( INV , DC ) & 0.63952504676421 & 5.43787237461402e-13 \tabularnewline
tau( INV , NDC ) & 0.644029531543938 & 3.9013237085328e-13 \tabularnewline
tau( INV , CON ) & 0.707013574660633 & 1.55431223447522e-15 \tabularnewline
tau( DC , NDC ) & 0.560679126940858 & 2.59591459439434e-10 \tabularnewline
tau( DC , CON ) & 0.705117359252847 & 1.77635683940025e-15 \tabularnewline
tau( NDC , CON ) & 0.856819605235081 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=34809&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( INV , DC )[/C][C]0.63952504676421[/C][C]5.43787237461402e-13[/C][/ROW]
[ROW][C]tau( INV , NDC )[/C][C]0.644029531543938[/C][C]3.9013237085328e-13[/C][/ROW]
[ROW][C]tau( INV , CON )[/C][C]0.707013574660633[/C][C]1.55431223447522e-15[/C][/ROW]
[ROW][C]tau( DC , NDC )[/C][C]0.560679126940858[/C][C]2.59591459439434e-10[/C][/ROW]
[ROW][C]tau( DC , CON )[/C][C]0.705117359252847[/C][C]1.77635683940025e-15[/C][/ROW]
[ROW][C]tau( NDC , CON )[/C][C]0.856819605235081[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=34809&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=34809&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( INV , DC )0.639525046764215.43787237461402e-13
tau( INV , NDC )0.6440295315439383.9013237085328e-13
tau( INV , CON )0.7070135746606331.55431223447522e-15
tau( DC , NDC )0.5606791269408582.59591459439434e-10
tau( DC , CON )0.7051173592528471.77635683940025e-15
tau( NDC , CON )0.8568196052350810



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')