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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 computationMon, 09 Nov 2009 13:47:13 -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/09/t1257799692y8vlm3af3p2886f.htm/, Retrieved Thu, 25 Apr 2024 07:04:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55043, Retrieved Thu, 25 Apr 2024 07:04:53 +0000
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Original text written by user:
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User-defined keywords
Estimated Impact188
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D    [Kendall tau Correlation Matrix] [workshop 6,3] [2009-11-09 20:47:13] [2210215221105fab636491031ce54076] [Current]
-    D      [Kendall tau Correlation Matrix] [Workshop 6] [2009-11-13 20:31:02] [4fe1472705bb0a32f118ba3ca90ffa8e]
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Dataseries X:
100	100	100	100
100,00	100,00	98,77	98,20
96,63	93,55	92,59	90,09
93,26	88,17	91,36	82,88
93,26	89,25	95,06	82,88
93,26	91,40	97,53	85,59
94,38	92,47	95,06	86,49
95,51	91,40	87,65	85,59
94,38	88,17	76,54	81,98
96,63	87,10	71,60	80,18
95,51	84,95	75,31	81,08
95,51	92,47	85,19	90,99
94,38	93,55	90,12	92,79
95,51	93,55	88,89	91,89
95,51	91,40	75,31	86,49
95,51	90,32	71,60	82,88
95,51	91,40	75,31	83,78
95,51	93,55	77,78	84,68
95,51	93,55	83,95	84,68
95,51	92,47	83,95	82,88
95,51	91,40	80,25	81,08
96,63	89,25	76,54	81,08
94,38	86,02	77,78	81,08
91,01	88,17	79,01	88,29
89,89	87,10	81,48	90,09
89,89	87,10	93,83	88,29
89,89	86,02	79,01	83,78
89,89	84,95	83,95	81,08
88,76	84,95	86,42	81,08
87,64	86,02	85,19	81,98
87,64	86,02	87,65	81,98
88,76	84,95	88,89	81,98
91,01	86,02	87,65	82,88
89,89	82,80	86,42	79,28
85,39	77,42	85,19	74,77
82,02	80,65	82,72	75,68
78,65	78,49	81,48	72,97
76,40	75,27	85,19	69,37
78,65	75,27	90,12	71,17
79,78	75,27	97,53	71,17
80,90	77,42	101,23	72,07
79,78	78,49	101,23	71,17
77,53	76,34	101,23	68,47
75,28	73,12	100,00	63,96
75,28	68,82	97,53	61,26
74,16	65,59	95,06	58,56
77,53	69,89	95,06	62,16
82,02	82,80	93,83	73,87
84,27	84,95	92,59	78,38
82,02	80,65	92,59	74,77
79,78	74,19	87,65	71,17
77,53	70,97	92,59	67,57
79,78	74,19	92,59	70,27
84,27	82,80	96,30	74,77
86,52	86,02	96,30	75,68
87,64	86,02	96,30	73,87
87,64	82,80	93,83	69,37
86,52	78,49	92,59	64,86
87,64	79,57	95,06	65,77
87,64	87,10	100,00	72,97
88,76	89,25	98,77	76,58




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55043&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55043&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55043&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'George Udny Yule' @ 72.249.76.132







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( wztot , wtot )0.7867558740372140
tau( wztot , wman )-0.3494558181733990.000139521983423020
tau( wztot , wvrouw )0.6744016999892381.54321000422897e-13
tau( wtot , wman )-0.1999448609208510.0282392129118441
tau( wtot , wvrouw )0.7568338541830230
tau( wman , wvrouw )-0.2444284417117680.00686144197326129

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( wztot , wtot ) & 0.786755874037214 & 0 \tabularnewline
tau( wztot , wman ) & -0.349455818173399 & 0.000139521983423020 \tabularnewline
tau( wztot , wvrouw ) & 0.674401699989238 & 1.54321000422897e-13 \tabularnewline
tau( wtot , wman ) & -0.199944860920851 & 0.0282392129118441 \tabularnewline
tau( wtot , wvrouw ) & 0.756833854183023 & 0 \tabularnewline
tau( wman , wvrouw ) & -0.244428441711768 & 0.00686144197326129 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55043&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( wztot , wtot )[/C][C]0.786755874037214[/C][C]0[/C][/ROW]
[ROW][C]tau( wztot , wman )[/C][C]-0.349455818173399[/C][C]0.000139521983423020[/C][/ROW]
[ROW][C]tau( wztot , wvrouw )[/C][C]0.674401699989238[/C][C]1.54321000422897e-13[/C][/ROW]
[ROW][C]tau( wtot , wman )[/C][C]-0.199944860920851[/C][C]0.0282392129118441[/C][/ROW]
[ROW][C]tau( wtot , wvrouw )[/C][C]0.756833854183023[/C][C]0[/C][/ROW]
[ROW][C]tau( wman , wvrouw )[/C][C]-0.244428441711768[/C][C]0.00686144197326129[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55043&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55043&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( wztot , wtot )0.7867558740372140
tau( wztot , wman )-0.3494558181733990.000139521983423020
tau( wztot , wvrouw )0.6744016999892381.54321000422897e-13
tau( wtot , wman )-0.1999448609208510.0282392129118441
tau( wtot , wvrouw )0.7568338541830230
tau( wman , wvrouw )-0.2444284417117680.00686144197326129



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')