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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, 13 Nov 2009 06:32:47 -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/t1258119251m4j6beogy9nup0r.htm/, Retrieved Sun, 05 May 2024 20:09:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56608, Retrieved Sun, 05 May 2024 20:09:41 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
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] [] [2009-11-13 13:32:47] [14869f38c4320b00c96ca15cc00142de] [Current]
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Dataseries X:
152	252	467	98.8
148	247	460	100.5
148	218	448	110.4
157	226	443	96.4
157	212	436	101.9
162	219	431	106.2
174	227	484	81
158	221	510	94.7
166	222	513	101
161	221	503	109.4
147	202	471	102.3
160	211	471	90.7
157	217	476	96.2
147	202	475	96.1
144	199	470	106
151	195	461	103.1
154	271	455	102
143	249	456	104.7
144	259	517	86
137	254	525	92.1
127	222	523	106.9
122	216	519	112.6
124	211	509	101.7
121	203	512	92
122	200	519	97.4
112	192	517	97
114	192	510	105.4
109	188	509	102.7
117	179	501	98.1
123	192	507	104.5
126	205	569	87.4
127	203	580	89.9
117	189	578	109.8
109	168	565	111.7
105	169	547	98.6
107	170	555	96.9
106	177	562	95.1
111	177	561	97
106	166	555	112.7
79	153	544	102.9
112	159	537	97.4
103	163	543	111.4
106	167	594	87.4
123	195	611	96.8
118	179	613	114.1
125	245	611	110.3
122	243	594	103.9
126	240	595	101.6
126	240	591	94.6
132	239	589	95.9
134	236	584	104.7
135	235	573	102.8
135	226	567	98.1
133	223	569	113.9
133	225	621	80.9
127	218	629	95.7
129	215	628	113.2
123	206	612	105.9
121	201	595	108.8
122	200	597	102.3
122	196	593	99
120	193	590	100.7
118	193	580	115.5
117	184	574	100.7
121	188	573	109.9
116	187	573	114.6
118	185	620	85.4
115	185	626	100.5
115	186	620	114.8
114	179	588	116.5
114	175	566	112.9
111	173	557	102




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=56608&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=56608&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56608&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( Man , Vrouw )0.640119476394623.99680288865056e-15
tau( Man , Werklh )-0.2692586843660590.000937822260177653
tau( Man , Prod )-0.1404032044297410.084145959659467
tau( Vrouw , Werklh )-0.09651373599073740.233447581483395
tau( Vrouw , Prod )-0.1365338628930280.0915156553936107
tau( Werklh , Prod )0.05267299259889920.514661413688345

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Man , Vrouw ) & 0.64011947639462 & 3.99680288865056e-15 \tabularnewline
tau( Man , Werklh ) & -0.269258684366059 & 0.000937822260177653 \tabularnewline
tau( Man , Prod ) & -0.140403204429741 & 0.084145959659467 \tabularnewline
tau( Vrouw , Werklh ) & -0.0965137359907374 & 0.233447581483395 \tabularnewline
tau( Vrouw , Prod ) & -0.136533862893028 & 0.0915156553936107 \tabularnewline
tau( Werklh , Prod ) & 0.0526729925988992 & 0.514661413688345 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56608&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( Man , Vrouw )[/C][C]0.64011947639462[/C][C]3.99680288865056e-15[/C][/ROW]
[ROW][C]tau( Man , Werklh )[/C][C]-0.269258684366059[/C][C]0.000937822260177653[/C][/ROW]
[ROW][C]tau( Man , Prod )[/C][C]-0.140403204429741[/C][C]0.084145959659467[/C][/ROW]
[ROW][C]tau( Vrouw , Werklh )[/C][C]-0.0965137359907374[/C][C]0.233447581483395[/C][/ROW]
[ROW][C]tau( Vrouw , Prod )[/C][C]-0.136533862893028[/C][C]0.0915156553936107[/C][/ROW]
[ROW][C]tau( Werklh , Prod )[/C][C]0.0526729925988992[/C][C]0.514661413688345[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56608&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56608&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( Man , Vrouw )0.640119476394623.99680288865056e-15
tau( Man , Werklh )-0.2692586843660590.000937822260177653
tau( Man , Prod )-0.1404032044297410.084145959659467
tau( Vrouw , Werklh )-0.09651373599073740.233447581483395
tau( Vrouw , Prod )-0.1365338628930280.0915156553936107
tau( Werklh , Prod )0.05267299259889920.514661413688345



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')