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Author's title

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, 06 Nov 2009 06:24:47 -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/06/t1257513951fht4t2z38tcm2sw.htm/, Retrieved Sun, 28 Apr 2024 17:56:43 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=54300, Retrieved Sun, 28 Apr 2024 17:56:43 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

bhschhwstws6p2

Estimated Impact

130

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] [2009-11-06 13:24:47] [682632737e024f9e62885141c5f654cd] [Current]

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Dataseries X:

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Histogram

Boxplots

131.6	128.6	150.85	126.51
132.05	128.9	147.79	131.02
132.4	129.06	141.96	136.51
132.57	129.23	148.39	138.04
133.02	129.27	147.71	132.92
133.47	129.33	150.6	129.61
133.66	129.35	151.18	122.96
133.96	129.31	152.24	124.04
134.19	129.4	157.19	121.29
134.93	129.49	154.62	124.56
134.9	129.47	157.22	118.53
135.05	129.46	159.7	113.14
135.16	129.45	160.55	114.15
135.23	129.28	149.66	122.17
135.15	129.2	151.69	129.23
135.12	129.25	154.13	131.19
137.29	129.14	151.48	129.12
137.41	129.11	153.34	128.28
137.44	129.02	155.8	126.83
137.62	129.08	158.87	138.13
137.78	128.99	156.09	140.52
137.98	129.11	156.3	146.83
138.06	129.08	156.4	135.14
138.16	129.19	154.09	131.84
138.28	129.23	161.32	125.7
138.33	129.25	160.12	128.98
138.43	129.31	155.17	133.25
138.44	129.33	154.51	136.76
138.41	129.39	151.38	133.24
138.55	129.55	152.59	128.54
138.64	129.43	153.98	121.08
138.72	129.45	154.91	120.23
138.9	129.57	153.01	119.08
139.02	129.76	155.09	125.75
139.04	129.92	155.53	126.89
139.15	130.08	161.86	126.6
139.3	130.41	166.03	121.89
140.73	130.84	164.54	123.44
141.84	131.24	164.33	126.46
141.95	131.49	163.21	129.49
142.1	131.74	159.95	127.78
142.36	132.34	164.18	125.29
142.58	133.5	167.13	119.02
142.75	134.43	166.8	119.96
142.85	136.5	166.29	122.86
143.03	137.41	168.07	131.89
143.19	138.02	167.1	132.73
143.62	138.15	163.53	135.01
143.89	138.24	168.28	136.71
144.69	138.2	169.07	142.73
147.51	138.31	165.84	144.43
147.78	138.65	163.88	144.93
148.04	139.3	157.33	138.75
148.21	139.8	161	130.22
148.29	140.52	163.54	122.19
148.34	141.57	161.21	128.4
148.33	141.77	158.92	140.43
148.38	141.66	160.18	153.5
148.37	141.36	159.9	149.33
148.37	141.17	164.46	142.97

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
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

\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
R Framework error message & Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values. \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54300&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]
[ROW][C]R Framework error message[/C][C]Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54300&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54300&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
R Framework error message	Warning: there are blank lines in the 'Data X' field. Please, use NA for missing data - blank lines are simply deleted and are NOT treated as missing values.

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( ICBG , ICV )	0.761043000701553	0
tau( ICBG , ICVSW )	0.539700501907439	1.12175890798483e-09
tau( ICBG , ICVGF )	0.185928235735652	0.0358715018852021
tau( ICV , ICVSW )	0.480612321784714	6.10725958694047e-08
tau( ICV , ICVGF )	0.0560431329289596	0.527710517182583
tau( ICVSW , ICVGF )	0.00112994350282486	0.989822575370363

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( ICBG , ICV ) & 0.761043000701553 & 0 \tabularnewline
tau( ICBG , ICVSW ) & 0.539700501907439 & 1.12175890798483e-09 \tabularnewline
tau( ICBG , ICVGF
 ) & 0.185928235735652 & 0.0358715018852021 \tabularnewline
tau( ICV , ICVSW ) & 0.480612321784714 & 6.10725958694047e-08 \tabularnewline
tau( ICV , ICVGF
 ) & 0.0560431329289596 & 0.527710517182583 \tabularnewline
tau( ICVSW , ICVGF
 ) & 0.00112994350282486 & 0.989822575370363 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=54300&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( ICBG , ICV )[/C][C]0.761043000701553[/C][C]0[/C][/ROW]
[ROW][C]tau( ICBG , ICVSW )[/C][C]0.539700501907439[/C][C]1.12175890798483e-09[/C][/ROW]
[ROW][C]tau( ICBG , ICVGF
 )[/C][C]0.185928235735652[/C][C]0.0358715018852021[/C][/ROW]
[ROW][C]tau( ICV , ICVSW )[/C][C]0.480612321784714[/C][C]6.10725958694047e-08[/C][/ROW]
[ROW][C]tau( ICV , ICVGF
 )[/C][C]0.0560431329289596[/C][C]0.527710517182583[/C][/ROW]
[ROW][C]tau( ICVSW , ICVGF
 )[/C][C]0.00112994350282486[/C][C]0.989822575370363[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=54300&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=54300&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( ICBG , ICV )	0.761043000701553	0
tau( ICBG , ICVSW )	0.539700501907439	1.12175890798483e-09
tau( ICBG , ICVGF )	0.185928235735652	0.0358715018852021
tau( ICV , ICVSW )	0.480612321784714	6.10725958694047e-08
tau( ICV , ICVGF )	0.0560431329289596	0.527710517182583
tau( ICVSW , ICVGF )	0.00112994350282486	0.989822575370363

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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Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code