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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, 26 Dec 2008 11:00:10 -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/2008/Dec/26/t1230314465u35zh92a0abt9pa.htm/, Retrieved Fri, 17 May 2024 20:34:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36636, Retrieved Fri, 17 May 2024 20:34:45 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPaper correlation Kendall tau correlation matrix
Estimated Impact224

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 - KTCM] [2007-11-24 13:59:44] [62262098183d389d24b0ede56065f6bd]
-    D    [Kendall tau Correlation Matrix] [Paper correlation...] [2008-12-26 18:00:10] [3efbb18563b4564408d69b3c9a8e9a6e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97.3	93.5	105.5	96.5
101	94.7	106.4	97.3
113.2	112.9	117.9	122.0
101	99.2	89.7	91.0
105.7	105.6	88.5	107.9
113.9	113.0	106.4	114.6
86.4	83.1	61.4	98.0
96.5	81.1	92.3	95.5
103.3	96.9	95.5	98.7
114.9	104.3	92.5	115.9
105.8	97.7	89.6	110.4
94.2	102.6	84.3	109.5
98.4	89.9	76.3	92.3
99.4	96.0	80.7	102.1
108.8	112.7	96.3	112.8
112.6	107.1	81	110.2
104.4	106.2	82.9	98.9
112.2	121.0	90.3	119.0
81.1	101.2	74.8	104.3
97.1	83.2	70.1	98.8
112.6	105.1	86.7	109.4
113.8	113.3	86.4	170.3
107.8	99.1	89.9	118.0
103.2	100.3	88.1	116.9
103.3	93.5	78.8	111.7
101.2	98.8	81.1	116.8
107.7	106.2	85.4	116.1
110.4	98.3	82.6	114.8
101.9	102.1	80.3	110.8
115.9	117.1	81.2	122.8
89.9	101.5	68	104.7
88.6	80.5	67.4	86.0
117.2	105.9	91.3	127.2
123.9	109.5	94.9	126.1
100	97.2	82.8	114.6
103.6	114.5	88.6	127.8
94.1	93.5	73.1	105.2
98.7	100.9	76.7	113.1
119.5	121.1	93.2	161.0
112.7	116.5	84.9	126.9
104.4	109.3	83.8	117.7
124.7	118.1	93.5	144.9
89.1	108.3	91.9	119.4
97	105.4	69.6	107.1
121.6	116.2	87	142.8
118.8	111.2	90.2	126.2
114	105.8	82.7	126.9
111.5	122.7	91.4	179.2
97.2	99.5	74.6	105.3
102.5	107.9	76.1	114.8
113.4	124.6	87.1	125.4
109.8	115.0	78.4	113.2
104.9	110.3	81.3	134.4
126.1	132.7	99.3	150.0
80	99.7	71	100.9
96.8	96.5	73.2	101.8
117.2	118.7	95.6	137.7
112.3	112.9	84	138.7
117.3	130.5	90.8	135.4
111.1	137.9	93.6	153.8
102.2	115.0	80.9	119.5
104.3	116.8	84.4	123.3
122.9	140.9	97.3	166.4
107.6	120.7	83.5	137.5
121.3	134.2	88.8	142.2
131.5	147.3	100.7	167.0
89	112.4	69.4	112.3
104.4	107.1	74.6	120.6
128.9	128.4	96.6	154.9
135.9	137.7	96.6	153.4
133.3	135.0	93.1	156.2
121.3	151.0	91.8	175.8
120.5	137.4	85.7	131.7
120.4	132.4	79.1	130.1
137.9	161.3	91.3	161.1
126.1	139.8	84.2	128.2
133.2	146.0	85.8	140.3
146.6	154.6	90	168.2
103.4	142.1	76.6	110.2
117.2	120.5	81.3	126.2

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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36636&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36636&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36636&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






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Metal , Machines )0.5934625124347997.7715611723761e-15
tau( Metal , Electronics )0.4447971557809215.68711788773157e-09
tau( Metal , Medical )0.6237312469795232.22044604925031e-16
tau( Machines , Electronics )0.2923272182442290.000127614575210488
tau( Machines , Medical )0.6626506357163120
tau( Electronics , Medical )0.3638668779714741.84259008140231e-06

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Metal , Machines ) & 0.593462512434799 & 7.7715611723761e-15 \tabularnewline
tau( Metal , Electronics ) & 0.444797155780921 & 5.68711788773157e-09 \tabularnewline
tau( Metal , Medical ) & 0.623731246979523 & 2.22044604925031e-16 \tabularnewline
tau( Machines , Electronics ) & 0.292327218244229 & 0.000127614575210488 \tabularnewline
tau( Machines , Medical ) & 0.662650635716312 & 0 \tabularnewline
tau( Electronics , Medical ) & 0.363866877971474 & 1.84259008140231e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36636&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( Metal , Machines )[/C][C]0.593462512434799[/C][C]7.7715611723761e-15[/C][/ROW]
[ROW][C]tau( Metal , Electronics )[/C][C]0.444797155780921[/C][C]5.68711788773157e-09[/C][/ROW]
[ROW][C]tau( Metal , Medical )[/C][C]0.623731246979523[/C][C]2.22044604925031e-16[/C][/ROW]
[ROW][C]tau( Machines , Electronics )[/C][C]0.292327218244229[/C][C]0.000127614575210488[/C][/ROW]
[ROW][C]tau( Machines , Medical )[/C][C]0.662650635716312[/C][C]0[/C][/ROW]
[ROW][C]tau( Electronics , Medical )[/C][C]0.363866877971474[/C][C]1.84259008140231e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36636&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36636&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( Metal , Machines )0.5934625124347997.7715611723761e-15
tau( Metal , Electronics )0.4447971557809215.68711788773157e-09
tau( Metal , Medical )0.6237312469795232.22044604925031e-16
tau( Machines , Electronics )0.2923272182442290.000127614575210488
tau( Machines , Medical )0.6626506357163120
tau( Electronics , Medical )0.3638668779714741.84259008140231e-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')