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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 22 Nov 2007 06:47:10 -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/2007/Nov/22/t1195738772j9ir9t1eltf707l.htm/, Retrieved Thu, 02 May 2024 18:37:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=5992, Retrieved Thu, 02 May 2024 18:37:32 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [WS 7 Q3 G6 kendal...] [2007-11-22 13:47:10] [fef19078983b9fa83d10cb717d6f9786] [Current]
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Dataseries X:
112.6	105.1	88.8	120.3
113.8	113.3	93.4	133.4
107.8	99.1	92.6	109.4
103.2	100.3	90.7	93.2
103.3	93.5	81.6	91.2
101.2	98.8	84.1	99.2
107.7	106.2	88.1	108.2
110.4	98.3	85.3	101.5
101.9	102.1	82.9	106.9
115.9	117.1	84.8	104.4
89.9	101.5	71.2	77.9
88.6	80.5	68.9	60
117.2	105.9	94.3	99.5
123.9	109.5	97.6	95
100	97.2	85.6	105.6
103.6	114.5	91.9	102.5
94.1	93.5	75.8	93.3
98.7	100.9	79.8	97.3
119.5	121.1	99	127
112.7	116.5	88.5	111.7
104.4	109.3	86.7	96.4
124.7	118.1	97.9	133
89.1	108.3	94.3	72.2
97	105.4	72.9	95.8
121.6	116.2	91.8	124.1
118.8	111.2	93.2	127.6
114	105.8	86.5	110.7
111.5	122.7	98.9	104.6
97.2	99.5	77.2	112.7
102.5	107.9	79.4	115.3
113.4	124.6	90.4	139.4
109.8	115	81.4	119
104.9	110.3	85.8	97.4
126.1	132.7	103.6	154
80	99.7	73.6	81.5
96.8	96.5	75.7	88.8
117.2	118.7	99.2	127.7
112.3	112.9	88.7	105.1
117.3	130.5	94.6	114.9
111.1	137.9	98.7	106.4
102.2	115	84.2	104.5
104.3	116.8	87.7	121.6
122.9	140.9	103.3	141.4
107.6	120.7	88.2	99
121.3	134.2	93.4	126.7
131.5	147.3	106.3	134.1
89	112.4	73.1	81.3
104.4	107.1	78.6	88.6
128.9	128.4	101.6	132.7
135.9	137.7	101.4	132.9
133.3	135	98.5	134.4
121.3	151	99	103.7
120.5	137.4	89.5	119.7
120.4	132.4	83.5	115
137.9	161.3	97.4	132.9
126.1	139.8	87.8	108.5
133.2	146	90.4	113.9
146.6	154.6	97.1	142.9
103.4	142.1	79.4	95.2
117.2	120.5	85	93




Summary of compuational 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 compuational 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=5992&T=0

[TABLE]
[ROW][C]Summary of compuational 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=5992&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5992&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 compuational 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( 1 , 2 )0.58210682856055.46567235915063e-11
tau( 1 , 3 )0.5911023189995092.85707013603087e-11
tau( 1 , 4 )0.5643934324552122.02035499441422e-10
tau( 2 , 3 )0.4500426190834043.95368534800156e-07
tau( 2 , 4 )0.4235227763274921.77612066343258e-06
tau( 3 , 4 )0.501415148575491.59022555124011e-08

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( 1 , 2 ) & 0.5821068285605 & 5.46567235915063e-11 \tabularnewline
tau( 1 , 3 ) & 0.591102318999509 & 2.85707013603087e-11 \tabularnewline
tau( 1 , 4
 ) & 0.564393432455212 & 2.02035499441422e-10 \tabularnewline
tau( 2 , 3 ) & 0.450042619083404 & 3.95368534800156e-07 \tabularnewline
tau( 2 , 4
 ) & 0.423522776327492 & 1.77612066343258e-06 \tabularnewline
tau( 3 , 4
 ) & 0.50141514857549 & 1.59022555124011e-08 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5992&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( 1 , 2 )[/C][C]0.5821068285605[/C][C]5.46567235915063e-11[/C][/ROW]
[ROW][C]tau( 1 , 3 )[/C][C]0.591102318999509[/C][C]2.85707013603087e-11[/C][/ROW]
[ROW][C]tau( 1 , 4
 )[/C][C]0.564393432455212[/C][C]2.02035499441422e-10[/C][/ROW]
[ROW][C]tau( 2 , 3 )[/C][C]0.450042619083404[/C][C]3.95368534800156e-07[/C][/ROW]
[ROW][C]tau( 2 , 4
 )[/C][C]0.423522776327492[/C][C]1.77612066343258e-06[/C][/ROW]
[ROW][C]tau( 3 , 4
 )[/C][C]0.50141514857549[/C][C]1.59022555124011e-08[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=5992&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5992&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( 1 , 2 )0.58210682856055.46567235915063e-11
tau( 1 , 3 )0.5911023189995092.85707013603087e-11
tau( 1 , 4 )0.5643934324552122.02035499441422e-10
tau( 2 , 3 )0.4500426190834043.95368534800156e-07
tau( 2 , 4 )0.4235227763274921.77612066343258e-06
tau( 3 , 4 )0.501415148575491.59022555124011e-08



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')