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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, 20 Nov 2009 05:17:02 -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/20/t125871947576x7u921upvajt1.htm/, Retrieved Thu, 28 Mar 2024 11:40:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=58076, Retrieved Thu, 28 Mar 2024 11:40:24 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134
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] [] [2009-11-04 15:16:37] [4d62210f0915d3a20cbf115865da7cd4]
-    D      [Kendall tau Correlation Matrix] [] [2009-11-20 12:17:02] [51118f1042b56b16d340924f16263174] [Current]
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Dataseries X:
100,00	100,00	100,00	100
105,63	112,22	116,76	101,9299478
105,63	114,44	113,45	108,8496656
107,04	113,33	84,46	113,0912755
108,45	106,67	100,67	108,9595994
108,45	102,22	105,66	64,04250771
111,27	103,33	96,47	178,8011116
114,08	104,44	91,11	167,8168993
115,49	104,44	116,29	200,1404709
115,49	102,22	116,27	157,4800745
115,49	100,00	102,25	156,1822457
111,27	100,00	123,80	142,428314
102,82	100,00	99,49	109,0298348
97,18	108,89	108,93	101,5451797
94,37	111,11	113,17	107,4693865
94,37	108,89	93,71	127,2421901
97,18	103,33	95,98	106,467768
98,59	100,00	101,66	64,76929184
100,00	100,00	107,51	171,3927993
101,41	101,11	84,11	150,3374355
100,00	101,11	93,83	182,3770116
97,18	101,11	96,08	146,8928451
98,59	102,22	85,60	144,9659511
95,77	97,78	103,79	154,2034385
90,14	92,22	85,31	122,3287629
94,37	93,33	83,61	104,2813082
92,96	90,00	103,53	112,5599292
90,14	85,56	87,24	141,5580053
88,73	87,78	92,88	111,6957279
87,32	87,78	77,28	72,89828076
91,55	88,89	112,11	174,9045714
95,77	87,78	86,16	172,1959263
95,77	84,44	77,70	176,0680368
90,14	78,89	89,15	190,2464348
85,92	75,56	97,91	149,4152136
81,69	72,22	89,45	156,2524811
85,92	76,67	92,70	121,0370416
101,41	91,11	83,30	101,4230311
102,82	96,67	97,26	116,4289859
97,18	92,22	79,41	132,1983693
85,92	87,78	76,95	93,44367423
81,69	83,33	89,37	67,04736312
87,32	86,67	81,60	146,6790851
100,00	92,22	83,18	140,9228326
108,45	93,33	97,14	154,9332763
111,27	91,11	64,17	146,926436
108,45	85,56	72,73	117,2321129
104,23	80,00	79,18	134,7054692
105,63	81,11	84,76	110,8101505
112,68	90,00	78,37	92,62833237
114,08	94,44	84,95	92,53061349




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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58076&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58076&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58076&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 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







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( WM , WV )0.3727734332981120.00017682383788431
tau( WM , Bouwv )0.1357504485511660.166539234648454
tau( WM , Inspw )0.05110605121926260.602496964744903
tau( WV , Bouwv )0.366135986806810.000181826241165473
tau( WV , Inspw )-0.04775686784436650.625394592699325
tau( Bouwv , Inspw )0.0556862745098040.564157679879704

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( WM , WV ) & 0.372773433298112 & 0.00017682383788431 \tabularnewline
tau( WM , Bouwv ) & 0.135750448551166 & 0.166539234648454 \tabularnewline
tau( WM , Inspw ) & 0.0511060512192626 & 0.602496964744903 \tabularnewline
tau( WV , Bouwv ) & 0.36613598680681 & 0.000181826241165473 \tabularnewline
tau( WV , Inspw ) & -0.0477568678443665 & 0.625394592699325 \tabularnewline
tau( Bouwv , Inspw ) & 0.055686274509804 & 0.564157679879704 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=58076&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( WM , WV )[/C][C]0.372773433298112[/C][C]0.00017682383788431[/C][/ROW]
[ROW][C]tau( WM , Bouwv )[/C][C]0.135750448551166[/C][C]0.166539234648454[/C][/ROW]
[ROW][C]tau( WM , Inspw )[/C][C]0.0511060512192626[/C][C]0.602496964744903[/C][/ROW]
[ROW][C]tau( WV , Bouwv )[/C][C]0.36613598680681[/C][C]0.000181826241165473[/C][/ROW]
[ROW][C]tau( WV , Inspw )[/C][C]-0.0477568678443665[/C][C]0.625394592699325[/C][/ROW]
[ROW][C]tau( Bouwv , Inspw )[/C][C]0.055686274509804[/C][C]0.564157679879704[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=58076&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=58076&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( WM , WV )0.3727734332981120.00017682383788431
tau( WM , Bouwv )0.1357504485511660.166539234648454
tau( WM , Inspw )0.05110605121926260.602496964744903
tau( WV , Bouwv )0.366135986806810.000181826241165473
tau( WV , Inspw )-0.04775686784436650.625394592699325
tau( Bouwv , Inspw )0.0556862745098040.564157679879704



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')