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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 computationFri, 13 Nov 2009 06:46:56 -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/13/t1258120061p62namx9j5b4un0.htm/, Retrieved Sun, 05 May 2024 09:51:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56618, Retrieved Sun, 05 May 2024 09:51:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact138

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]
- R  D    [Kendall tau Correlation Matrix] [] [2009-11-13 13:46:56] [8af916b6a531ec49628252b0a0ece045] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
95,1		100,6	71,7		105
97		104,3	77,5		108,3
112,7	120,4	89,8		125
102,9	107,5	80,3		111,6
97,4		102,9	78,7		106,5
111,4	125,6	93,8		130,3
87,4		107,5	57,6		115
96,8		108,8	60,6		116,1
114,1	128,4	91		134
110,3	121,1	85,3		126,5
103,9	119,5	77,4		125,8
101,6	128,7	77,3		136,4
94,6		108,7	68,3		114,9
95,9		105,5	69,9		110,9
104,7	119,8	81,7		125,5
102,8	111,3	75,1		116,8
98,1		110,6	69,9		116,8
113,9	120,1	84		125,5
80,9		97,5		54,3		104,2
95,7		107,7	60		115,1
113,2	127,3	89,9		132,8
105,9	117,2	77		123,3
108,8	119,8	85,3		124,8
102,3	116,2	77,6		122
99		111		69,2		117,4
100,7	112,4	75,5		117,9
115,5	130,6	85,7		137,4
100,7	109,1	72,2		114,6
109,9	118,8	79,9		124,7
114,6	123,9	85,3		129,6
85,4		101,6	52,2		109,4
100,5	112,8	61,2		120,9
114,8	128		82,4		134,9
116,5	129,6	85,4		136,3
112,9	125,8	78,2		133,2
102		119,5	70,2		127,2
106		115,7	70,2		122,7
105,3	113,6	69,3		120,5
118,8	129,7	77,5		137,8
106,1	112		66,1		119,1
109,3	116,8	69		124,3
117,2	127		79,2		134,4
92,5		112,1	56,2		121,1
104,2	114,2	63,3		122,2
112,5	121,1	77,8		127,7
122,4	131,6	92		137,4
113,3	125		78,1		132,2
100		120,4	65,1		129,2
110,7	117,7	71,1		124,9
112,8	117,5	70,9		124,8
109,8	120,6	72		128,2
117,3	127,5	81,9		134,4
109,1	112,3	70,6		118,6
115,9	124,5	72,5		132,6
96		115,2	65,1		123,2
NA		104,7	54,9		112,8
NA		130,9	80		138,7
NA		129,2	77,4		137,3
NA		113,5	59,6		122,3
NA		125,6	57,4		136,9
NA		107,6	50,8		117,1

Tables (Output of Computation)





Summary of computational 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
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=56618&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=56618&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56618&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 time1 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
pairtaup-value
tau( TPBI , TPC )0.6970316738623186.3726801613484e-14
tau( TPBI , TPDC )0.5435527694665735.0576525190138e-09
tau( TPBI , TPNDC )0.6713906248722235.03375119365046e-13
tau( TPC , TPDC )0.4958859769655691.83253592300758e-08
tau( TPC , TPNDC )0.916963586090950
tau( TPDC , TPNDC )0.4096519071746183.32344229314607e-06

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( TPBI , TPC ) & 0.697031673862318 & 6.3726801613484e-14 \tabularnewline
tau( TPBI , TPDC ) & 0.543552769466573 & 5.0576525190138e-09 \tabularnewline
tau( TPBI , TPNDC ) & 0.671390624872223 & 5.03375119365046e-13 \tabularnewline
tau( TPC , TPDC ) & 0.495885976965569 & 1.83253592300758e-08 \tabularnewline
tau( TPC , TPNDC ) & 0.91696358609095 & 0 \tabularnewline
tau( TPDC , TPNDC ) & 0.409651907174618 & 3.32344229314607e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56618&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( TPBI , TPC )[/C][C]0.697031673862318[/C][C]6.3726801613484e-14[/C][/ROW]
[ROW][C]tau( TPBI , TPDC )[/C][C]0.543552769466573[/C][C]5.0576525190138e-09[/C][/ROW]
[ROW][C]tau( TPBI , TPNDC )[/C][C]0.671390624872223[/C][C]5.03375119365046e-13[/C][/ROW]
[ROW][C]tau( TPC , TPDC )[/C][C]0.495885976965569[/C][C]1.83253592300758e-08[/C][/ROW]
[ROW][C]tau( TPC , TPNDC )[/C][C]0.91696358609095[/C][C]0[/C][/ROW]
[ROW][C]tau( TPDC , TPNDC )[/C][C]0.409651907174618[/C][C]3.32344229314607e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56618&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56618&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( TPBI , TPC )0.6970316738623186.3726801613484e-14
tau( TPBI , TPDC )0.5435527694665735.0576525190138e-09
tau( TPBI , TPNDC )0.6713906248722235.03375119365046e-13
tau( TPC , TPDC )0.4958859769655691.83253592300758e-08
tau( TPC , TPNDC )0.916963586090950
tau( TPDC , TPNDC )0.4096519071746183.32344229314607e-06


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')