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Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 13 Nov 2009 08:07:57 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/13/t125812498156bfrzbavjy7664.htm/, Retrieved Sun, 05 May 2024 16:31:27 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56792, Retrieved Sun, 05 May 2024 16:31:27 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

142

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 15:07:57] [9adf7044e3e2072a25a3bb76b79e4d2e] [Current]

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96.8	92.9	105.8	119.3
114.1	107.7	106.6	130.4
110.3	103.5	109.7	126
103.9	91.1	108.8	125.4
101.6	79.8	113.4	130.5
94.6	71.9	113.7	115.9
95.9	82.9	103.6	108.7
104.7	90.1	98.2	124
102.8	100.7	95.5	119.4
98.1	90.7	94.4	118.6
113.9	108.8	95.9	131.3
80.9	44.1	103.2	111.1
95.7	93.6	104.1	124.8
113.2	107.4	127.6	132.3
105.9	96.5	130.3	126.7
108.8	93.6	133	131.7
102.3	76.5	140.4	130.9
99	76.7	123.5	122.1
100.7	84	116.9	113.2
115.5	103.3	115.9	133.6
100.7	88.5	113.1	119.2
109.9	99	112.1	129.4
114.6	105.9	112.4	131.4
85.4	44.7	118.9	117.1
100.5	94	117.4	130.5
114.8	107.1	115.6	132.3
116.5	104.8	120.7	140.8
112.9	102.5	114.9	137.5
102	77.7	122	128.6
106	85.2	119.6	126.7
105.3	91.3	114.6	120.8
118.8	106.5	118.4	139.3
106.1	92.4	110.9	128.6
109.3	97.5	111.6	131.3
117.2	107	114.6	136.3
92.5	51.1	112.1	128.8
104.2	98.6	117.4	133.2
112.5	102.2	114.8	136.3
122.4	114.3	123.4	151.1
113.3	99.4	118.1	145
100	72.5	121.9	134.4
110.7	92.3	123.3	135.7
112.8	99.4	120.1	128.7
109.8	85.9	116.7	129.2
117.3	109.4	106.3	138.6
109.1	97.6	106.8	132.7
115.9	104.7	107.5	132.5
96	56.9	108.5	137.3
99.8	86.7	113.6	127.1
116.8	108.5	111.6	143.7
115.7	103.4	117.1	149.9
99.4	86.2	120	131.6
94.3	71	123	138.8
91	75.9	123.3	122.5
93.2	87.1	114.5	122
103.1	102	114.1	135.6
94.1	88.5	107.8	133.4
91.8	87.8	110.6	127.3
102.7	100.8	112.6	138.9
82.6	50.6	115.7	131.4
89.1	85.9	116.7	131.6

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=56792&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=56792&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56792&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( TIP , Bouw )	0.68235317102781	8.43769498715119e-15
tau( TIP , Energie )	0.0607720251717907	0.489667899110146
tau( TIP , Voeding&Drank )	0.43001996320116	1.02989267203313e-06
tau( Bouw , Energie )	-0.0860274101748796	0.328476786981522
tau( Bouw , Voeding&Drank )	0.360745830896249	4.21025125023622e-05
tau( Energie , Voeding&Drank )	0.194185437882535	0.0275589578746132

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( TIP , Bouw ) & 0.68235317102781 & 8.43769498715119e-15 \tabularnewline
tau( TIP , Energie ) & 0.0607720251717907 & 0.489667899110146 \tabularnewline
tau( TIP , Voeding&Drank ) & 0.43001996320116 & 1.02989267203313e-06 \tabularnewline
tau( Bouw , Energie ) & -0.0860274101748796 & 0.328476786981522 \tabularnewline
tau( Bouw , Voeding&Drank ) & 0.360745830896249 & 4.21025125023622e-05 \tabularnewline
tau( Energie , Voeding&Drank ) & 0.194185437882535 & 0.0275589578746132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56792&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( TIP , Bouw )[/C][C]0.68235317102781[/C][C]8.43769498715119e-15[/C][/ROW]
[ROW][C]tau( TIP , Energie )[/C][C]0.0607720251717907[/C][C]0.489667899110146[/C][/ROW]
[ROW][C]tau( TIP , Voeding&Drank )[/C][C]0.43001996320116[/C][C]1.02989267203313e-06[/C][/ROW]
[ROW][C]tau( Bouw , Energie )[/C][C]-0.0860274101748796[/C][C]0.328476786981522[/C][/ROW]
[ROW][C]tau( Bouw , Voeding&Drank )[/C][C]0.360745830896249[/C][C]4.21025125023622e-05[/C][/ROW]
[ROW][C]tau( Energie , Voeding&Drank )[/C][C]0.194185437882535[/C][C]0.0275589578746132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56792&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56792&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
pair	tau	p-value
tau( TIP , Bouw )	0.68235317102781	8.43769498715119e-15
tau( TIP , Energie )	0.0607720251717907	0.489667899110146
tau( TIP , Voeding&Drank )	0.43001996320116	1.02989267203313e-06
tau( Bouw , Energie )	-0.0860274101748796	0.328476786981522
tau( Bouw , Voeding&Drank )	0.360745830896249	4.21025125023622e-05
tau( Energie , Voeding&Drank )	0.194185437882535	0.0275589578746132

Figure 1

PNG link

Postscript link

PDF link

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')

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