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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, 13 Nov 2009 06:12:33 -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/2009/Nov/13/t1258118001urxc2ynahj6pz9g.htm/, Retrieved Sun, 05 May 2024 13:33:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56576, Retrieved Sun, 05 May 2024 13:33:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127

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] [] [2009-11-13 13:12:33] [14869f38c4320b00c96ca15cc00142de] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
152	467	98.8
148	460	100.5
148	448	110.4
157	443	96.4
157	436	101.9
162	431	106.2
174	484	81
158	510	94.7
166	513	101
161	503	109.4
147	471	102.3
160	471	90.7
157	476	96.2
147	475	96.1
144	470	106
151	461	103.1
154	455	102
143	456	104.7
144	517	86
137	525	92.1
127	523	106.9
122	519	112.6
124	509	101.7
121	512	92
122	519	97.4
112	517	97
114	510	105.4
109	509	102.7
117	501	98.1
123	507	104.5
126	569	87.4
127	580	89.9
117	578	109.8
109	565	111.7
105	547	98.6
107	555	96.9
106	562	95.1
111	561	97
106	555	112.7
79	544	102.9
112	537	97.4
103	543	111.4
106	594	87.4
123	611	96.8
118	613	114.1
125	611	110.3
122	594	103.9
126	595	101.6
126	591	94.6
132	589	95.9
134	584	104.7
135	573	102.8
135	567	98.1
133	569	113.9
133	621	80.9
127	629	95.7
129	628	113.2
123	612	105.9
121	595	108.8
122	597	102.3
122	593	99
120	590	100.7
118	580	115.5
117	574	100.7
121	573	109.9
116	573	114.6
118	620	85.4
115	626	100.5
115	620	114.8
114	588	116.5
114	566	112.9
111	557	102

Tables (Output of Computation)





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=56576&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=56576&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56576&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Man , Werklh )-0.2692586843660590.000937822260177653
tau( Man , Prod )-0.1404032044297410.084145959659467
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 , Werklh ) & -0.269258684366059 & 0.000937822260177653 \tabularnewline
tau( Man , Prod ) & -0.140403204429741 & 0.084145959659467 \tabularnewline
tau( Werklh , Prod ) & 0.0526729925988992 & 0.514661413688345 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56576&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 , 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( Werklh , Prod )[/C][C]0.0526729925988992[/C][C]0.514661413688345[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56576&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56576&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( Man , Werklh )-0.2692586843660590.000937822260177653
tau( Man , Prod )-0.1404032044297410.084145959659467
tau( Werklh , Prod )0.05267299259889920.514661413688345


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')