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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationThu, 08 Nov 2007 15:15:33 -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/08/t11945601928u3kccr8ye1jdw8.htm/, Retrieved Mon, 06 May 2024 13:24:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14445, Retrieved Mon, 06 May 2024 13:24:56 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact233
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [Paper 7] [2007-11-08 22:15:33] [0273de5d1ce8208df00a96b78f092a43] [Current]
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Dataseries X:
100,70	101,30	99,80
97,90	97,60	103,50
96,50	96,40	103,10
96,60	97,00	105,60
96,60	96,40	105,70
95,50	94,70	106,60
91,80	89,30	107,00
89,30	85,90	105,20
87,00	83,30	105,70
85,90	81,50	105,00
88,00	85,00	105,10
87,90	84,80	105,90
89,20	87,50	105,30
90,90	89,00	104,90
91,60	90,00	103,20
90,20	89,60	103,40
89,10	87,40	104,40
87,50	84,80	104,50
86,30	81,90	105,90
86,00	81,10	110,60
84,40	79,10	112,40
86,10	80,50	111,80
91,00	88,50	111,00
92,70	90,90	111,00
88,00	84,90	109,10
84,30	80,00	107,80
82,20	76,50	107,20
80,80	75,40	108,40
79,40	73,50	107,50
80,20	74,30	106,40
82,20	77,70	106,20
82,20	77,90	104,90
81,20	76,70	106,20
82,10	77,20	107,60
88,10	86,00	107,00
88,50	86,90	104,50
92,10	92,00	105,10
98,60	101,70	104,70
100,90	104,50	103,70
100,60	101,70	104,90
101,10	100,60	105,90
102,10	100,30	106,10
103,60	102,50	106,10
102,80	101,00	106,80
108,30	108,60	106,40
104,00	103,40	107,80
106,10	106,40	107,60
106,30	106,60	107,60
109,00	108,90	108,40
111,00	110,50	109,50
113,70	114,00	109,20
112,70	112,80	109,10
110,30	109,60	110,00
114,50	116,00	109,00
119,30	124,60	109,00
121,80	129,00	111,90
125,40	131,50	109,30
129,70	138,60	112,10
129,40	138,10	112,10
134,50	146,30	112,50
141,20	157,60	113,60
141,40	158,40	112,90
152,20	176,30	114,00
167,70	199,90	116,10
173,30	210,40	116,50
168,70	202,60	117,10
172,60	207,10	117,10
169,80	202,00	117,10
172,00	203,40	116,50
179,40	216,30	116,50
174,60	207,30	116,30
172,50	203,50	116,50
172,60	204,40	119,20
176,30	203,70	118,60
178,90	205,70	117,50
179,60	208,00	117,10
179,90	209,30	117,60
180,30	208,70	118,30
180,90	206,50	118,60
177,70	204,50	116,70




Summary of compuational 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

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14445&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14445&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14445&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 compuational 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







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( TM , NF )0.961179002592270
tau( TM , GM )0.5252484751856457.18469728155924e-12
tau( NF , GM )0.4953900630201619.9846353407429e-11

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( TM , NF ) & 0.96117900259227 & 0 \tabularnewline
tau( TM , GM ) & 0.525248475185645 & 7.18469728155924e-12 \tabularnewline
tau( NF , GM ) & 0.495390063020161 & 9.9846353407429e-11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14445&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( TM , NF )[/C][C]0.96117900259227[/C][C]0[/C][/ROW]
[ROW][C]tau( TM , GM )[/C][C]0.525248475185645[/C][C]7.18469728155924e-12[/C][/ROW]
[ROW][C]tau( NF , GM )[/C][C]0.495390063020161[/C][C]9.9846353407429e-11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14445&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14445&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
pairtaup-value
tau( TM , NF )0.961179002592270
tau( TM , GM )0.5252484751856457.18469728155924e-12
tau( NF , GM )0.4953900630201619.9846353407429e-11



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')