FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationWed, 11 Nov 2009 01:14:07 -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/11/t1257929324ymj2j0uimw4xdyk.htm/, Retrieved Fri, 26 Apr 2024 18:18:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55439, Retrieved Fri, 26 Apr 2024 18:18:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163

Tree of Dependent Computations

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] [] [2009-11-11 08:14:07] [d41d8cd98f00b204e9800998ecf8427e] [Current]
-           [Kendall tau Correlation Matrix] [] [2009-11-13 14:14:25] [5edbdb7a459c4059b6c3b063ba86821c]
-    D        [Kendall tau Correlation Matrix] [] [2009-12-12 08:48:34] [5edbdb7a459c4059b6c3b063ba86821c]
-    D        [Kendall tau Correlation Matrix] [] [2009-12-12 11:08:15] [77305478ee09a4d442b7c3bff26eeaaa]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
103.8		122.5		80.2		19
103.5		122.4		74.8		18
104.1		121.9		77.8		19
101.9		122.2		73		19
102		123.7		72		22
100.7		122.6		75.8		23
99		115.7		72.6		20
96.5		116.1		71.9		14
101.8		120.5		74.8		14
100.5		122.6		72.9		14
103.3		119.9		72.9		15
102.3		120.7		79.9		11
100.4		120.2		74		17
103		122.1		76		16
99		119.3		69.6		20
104.8		121.7		77.3		24
104.5		113.5		75.2		23
104.8		123.7		75.8		20
103.8		123.4		77.6		21
106.3		126.4		76.7		19
105.2		124.1		77		23
108.2		125.6		77.9		23
106.2		124.8		76.7		23
103.9		123		71.9		23
104.9		126.9		73.4		27
106.2		127.3		72.5		26
107.9		129		73.7		17
106.9		126.2		69.5		24
110.3		125.4		74.7		26
109.8		126.3		72.5		24
108.3		126.3		72.1		27
110.9		128.4		70.7		27
109.8		127.2		71.4		26
109.3		128.5		69.5		24
109		129		73.5		23
107.9		128.9		72.4		23
108.4		128.3		74.5		24
107.2		124.6		72.2		17
109.5		126.2		73		21
109.9		129.1		73.3		19
108		127.3		71.3		22
114.7		129.2		73.6		22
115.6		130.4		71.3		18
107.6		125.9		71.2		16
115.9		135.8		81.4		14
111.8		126.4		76.1		12
110		129.5		71.1		14
109.2		128.4		75.7		16
108		125.6		70		8
105.6		127.7		68.5		3
103		126.4		56.7		0
99.6		124.2		57.9		5
97.9		126.4		58.8		1
97.6		123.7		59.3		1
96.2		121.8		61.3		3
97.9		124		62.9		6
94.5		122.7		61.4		7
95.4		122.9		64.5		8
94.4		121		63.8		14
96.3		122.8		61.6		14
95.1		122.9		64.7		13

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
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 & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \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=55439&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/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=55439&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55439&T=0

As an alternative you can also use a QR Code:  
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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
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
pairtaup-value
tau( totip , ntdzc )0.5657691199814521.54582791012103e-10
tau( totip , drzc )0.2086765513454150.0180042773232216
tau( totip , cindex )0.3664947322621144.67233627292618e-05
tau( ntdzc , drzc )-0.04733087968716430.592322122158908
tau( ntdzc , cindex )0.1346400030618490.135499246075858
tau( drzc , cindex )0.2653152049504870.00320434596468666

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( totip , ntdzc ) & 0.565769119981452 & 1.54582791012103e-10 \tabularnewline
tau( totip , drzc ) & 0.208676551345415 & 0.0180042773232216 \tabularnewline
tau( totip , cindex
 ) & 0.366494732262114 & 4.67233627292618e-05 \tabularnewline
tau( ntdzc , drzc ) & -0.0473308796871643 & 0.592322122158908 \tabularnewline
tau( ntdzc , cindex
 ) & 0.134640003061849 & 0.135499246075858 \tabularnewline
tau( drzc , cindex
 ) & 0.265315204950487 & 0.00320434596468666 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55439&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( totip , ntdzc )[/C][C]0.565769119981452[/C][C]1.54582791012103e-10[/C][/ROW]
[ROW][C]tau( totip , drzc )[/C][C]0.208676551345415[/C][C]0.0180042773232216[/C][/ROW]
[ROW][C]tau( totip , cindex
 )[/C][C]0.366494732262114[/C][C]4.67233627292618e-05[/C][/ROW]
[ROW][C]tau( ntdzc , drzc )[/C][C]-0.0473308796871643[/C][C]0.592322122158908[/C][/ROW]
[ROW][C]tau( ntdzc , cindex
 )[/C][C]0.134640003061849[/C][C]0.135499246075858[/C][/ROW]
[ROW][C]tau( drzc , cindex
 )[/C][C]0.265315204950487[/C][C]0.00320434596468666[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55439&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55439&T=1

As an alternative you can also use a QR Code:  
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( totip , ntdzc )0.5657691199814521.54582791012103e-10
tau( totip , drzc )0.2086765513454150.0180042773232216
tau( totip , cindex )0.3664947322621144.67233627292618e-05
tau( ntdzc , drzc )-0.04733087968716430.592322122158908
tau( ntdzc , cindex )0.1346400030618490.135499246075858
tau( drzc , cindex )0.2653152049504870.00320434596468666


Figures (Output of Computation)

Input Parameters & R Code

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')