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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 23 Nov 2007 02:37:57 -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/23/t1195810423j5r3ua7rz7ewfgv.htm/, Retrieved Sun, 28 Apr 2024 23:01:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=6124, Retrieved Sun, 28 Apr 2024 23:01:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsGroep 1, WS7, Q3
Estimated Impact203

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] [WS7, Q3] [2007-11-23 09:37:57] [ce556af355e2eff84137e549c6ea8397] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106.7	97.3	93.5	104.8
110.2	101	94.7	105.6
125.9	113.2	112.9	118.3
100.1	101	99.2	89.9
106.4	105.7	105.6	90.2
114.8	113.9	113	107
81.3	86.4	83.1	64.5
87	96.5	81.1	92.6
104.2	103.3	96.9	95.8
108	114.9	104.3	94.3
105	105.8	97.7	91.2
94.5	94.2	102.6	86.3
92	98.4	89.9	77.6
95.9	99.4	96	82.5
108.8	108.8	112.7	97.7
103.4	112.6	107.1	83.3
102.1	104.4	106.2	84.2
110.1	112.2	121	92.8
83.2	81.1	101.2	77.4
82.7	97.1	83.2	72.5
106.8	112.6	105.1	88.8
113.7	113.8	113.3	93.4
102.5	107.8	99.1	92.6
96.6	103.2	100.3	90.7
92.1	103.3	93.5	81.6
95.6	101.2	98.8	84.1
102.3	107.7	106.2	88.1
98.6	110.4	98.3	85.3
98.2	101.9	102.1	82.9
104.5	115.9	117.1	84.8
84	89.9	101.5	71.2
73.8	88.6	80.5	68.9
103.9	117.2	105.9	94.3
106	123.9	109.5	97.6
97.2	100	97.2	85.6
102.6	103.6	114.5	91.9
89	94.1	93.5	75.8
93.8	98.7	100.9	79.8
116.7	119.5	121.1	99
106.8	112.7	116.5	88.5
98.5	104.4	109.3	86.7
118.7	124.7	118.1	97.9
90	89.1	108.3	94.3
91.9	97	105.4	72.9
113.3	121.6	116.2	91.8
113.1	118.8	111.2	93.2
104.1	114	105.8	86.5
108.7	111.5	122.7	98.9
96.7	97.2	99.5	77.2
101	102.5	107.9	79.4
116.9	113.4	124.6	90.4
105.8	109.8	115	81.4
99	104.9	110.3	85.8
129.4	126.1	132.7	103.6
83	80	99.7	73.6
88.9	96.8	96.5	75.7
115.9	117.2	118.7	99.2
104.2	112.3	112.9	88.7
113.4	117.3	130.5	94.6
112.2	111.1	137.9	98.7
100.8	102.2	115	84.2
107.3	104.3	116.8	87.7
126.6	122.9	140.9	103.3
102.9	107.6	120.7	88.2
117.9	121.3	134.2	93.4
128.8	131.5	147.3	106.3
87.5	89	112.4	73.1
93.8	104.4	107.1	78.6
122.7	128.9	128.4	101.6
126.2	135.9	137.7	101.4
124.6	133.3	135	98.5
116.7	121.3	151	99
115.2	120.5	137.4	89.5
111.1	120.4	132.4	83.5
129.9	137.9	161.3	97.4
113.3	126.1	139.8	87.8
118.5	133.2	146	90.4
133.5	146.6	154.6	97.1
102.1	103.4	142.1	79.4
102.4	117.2	120.5	85

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6124&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6124&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6124&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Tot , Met )0.7415518753979080
tau( Tot , Mach )0.586332653636071.55431223447522e-14
tau( Tot , Elek )0.6337827838767660
tau( Met , Mach )0.5934625124347997.7715611723761e-15
tau( Met , Elek )0.4952381201934069.02136143565713e-11
tau( Mach , Elek )0.3521573781289753.9811399650258e-06

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Tot , Met ) & 0.741551875397908 & 0 \tabularnewline
tau( Tot , Mach ) & 0.58633265363607 & 1.55431223447522e-14 \tabularnewline
tau( Tot , Elek
 ) & 0.633782783876766 & 0 \tabularnewline
tau( Met , Mach ) & 0.593462512434799 & 7.7715611723761e-15 \tabularnewline
tau( Met , Elek
 ) & 0.495238120193406 & 9.02136143565713e-11 \tabularnewline
tau( Mach , Elek
 ) & 0.352157378128975 & 3.9811399650258e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=6124&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( Tot , Met )[/C][C]0.741551875397908[/C][C]0[/C][/ROW]
[ROW][C]tau( Tot , Mach )[/C][C]0.58633265363607[/C][C]1.55431223447522e-14[/C][/ROW]
[ROW][C]tau( Tot , Elek
 )[/C][C]0.633782783876766[/C][C]0[/C][/ROW]
[ROW][C]tau( Met , Mach )[/C][C]0.593462512434799[/C][C]7.7715611723761e-15[/C][/ROW]
[ROW][C]tau( Met , Elek
 )[/C][C]0.495238120193406[/C][C]9.02136143565713e-11[/C][/ROW]
[ROW][C]tau( Mach , Elek
 )[/C][C]0.352157378128975[/C][C]3.9811399650258e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=6124&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=6124&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( Tot , Met )0.7415518753979080
tau( Tot , Mach )0.586332653636071.55431223447522e-14
tau( Tot , Elek )0.6337827838767660
tau( Met , Mach )0.5934625124347997.7715611723761e-15
tau( Met , Elek )0.4952381201934069.02136143565713e-11
tau( Mach , Elek )0.3521573781289753.9811399650258e-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')