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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 computationThu, 12 Nov 2009 08:55:22 -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/12/t1258041376si3y6o8zyjrbqdw.htm/, Retrieved Fri, 03 May 2024 21:20:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56166, Retrieved Fri, 03 May 2024 21:20:34 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact144
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [3/11/2009] [2009-11-02 21:10:41] [b98453cac15ba1066b407e146608df68]
- RM D    [Kendall tau Correlation Matrix] [Kendall Tau WS6] [2009-11-12 15:55:22] [82f421ff86a0429b20e3ed68bd89f1bd] [Current]
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Dataseries X:
370.58	7.55	42.97	0.8
370.58	7.55	42.98	0.8
370.22	7.59	43.01	0.8
370.21	7.59	43.09	0.8
370.29	7.59	43.14	0.8
370.29	7.57	43.39	0.8
370.2	7.57	43.46	0.8
370.2	7.59	43.54	0.8
372.55	7.6	43.62	0.81
374.51	7.64	44.01	0.81
375.58	7.64	44.5	0.81
375.75	7.76	44.73	0.81
375.75	7.76	44.89	0.81
375.75	7.76	45.09	0.81
375.69	7.77	45.17	0.81
375.76	7.83	45.24	0.81
377.5	7.94	45.42	0.81
377.51	7.94	45.67	0.81
377.74	7.94	45.68	0.81
369.82	8.09	46.56	0.81
373.1	8.18	46.72	0.82
374.55	8.26	47.01	0.82
375.01	8.28	47.26	0.82
374.81	8.28	47.49	0.82
375.31	8.28	47.51	0.82
375.31	8.29	47.52	0.82
375.39	8.3	47.66	0.82
375.59	8.3	47.71	0.82
376.26	8.31	47.87	0.82
377.18	8.33	48	0.82
377.26	8.33	48	0.82
377.26	8.34	48.05	0.82
381.87	8.48	48.25	0.89
387.09	8.59	48.72	0.89
387.14	8.67	48.94	0.89
388.78	8.67	49.16	0.89
389.16	8.67	49.18	0.89
389.16	8.71	49.25	0.89
389.42	8.72	49.34	0.89
389.49	8.72	49.49	0.89
388.97	8.72	49.57	0.89
388.97	8.74	49.63	0.89
389.09	8.74	49.67	0.89
389.09	8.74	49.7	0.89
391.76	8.74	49.8	0.91
390.96	8.79	50.09	0.91
391.76	8.85	50.49	0.91
392.8	8.86	50.73	0.91
393.06	8.87	51.12	0.91
393.06	8.92	51.15	0.93
393.26	8.96	51.41	0.93
393.87	8.97	51.61	0.93
394.47	8.99	52.06	0.93
394.57	8.98	52.17	0.93
394.57	8.98	52.18	0.93
394.57	9.01	52.19	0.93
399.57	9.01	52.74	0.95
406.13	9.03	53.05	0.95
407.03	9.05	53.38	0.95
409.46	9.05	53.78	0.95




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56166&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56166&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56166&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 time2 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk







Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( Fiets , Taxi )0.8306228064707590
tau( Fiets , Garage )0.8305496798389990
tau( Fiets , Bus )0.8131300937136670
tau( Taxi , Garage )0.9812105761275250
tau( Taxi , Bus )0.9295068932625190
tau( Garage , Bus )0.9229808910635760

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Fiets , Taxi ) & 0.830622806470759 & 0 \tabularnewline
tau( Fiets , Garage ) & 0.830549679838999 & 0 \tabularnewline
tau( Fiets , Bus ) & 0.813130093713667 & 0 \tabularnewline
tau( Taxi , Garage ) & 0.981210576127525 & 0 \tabularnewline
tau( Taxi , Bus ) & 0.929506893262519 & 0 \tabularnewline
tau( Garage , Bus ) & 0.922980891063576 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56166&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( Fiets , Taxi )[/C][C]0.830622806470759[/C][C]0[/C][/ROW]
[ROW][C]tau( Fiets , Garage )[/C][C]0.830549679838999[/C][C]0[/C][/ROW]
[ROW][C]tau( Fiets , Bus )[/C][C]0.813130093713667[/C][C]0[/C][/ROW]
[ROW][C]tau( Taxi , Garage )[/C][C]0.981210576127525[/C][C]0[/C][/ROW]
[ROW][C]tau( Taxi , Bus )[/C][C]0.929506893262519[/C][C]0[/C][/ROW]
[ROW][C]tau( Garage , Bus )[/C][C]0.922980891063576[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56166&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56166&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( Fiets , Taxi )0.8306228064707590
tau( Fiets , Garage )0.8305496798389990
tau( Fiets , Bus )0.8131300937136670
tau( Taxi , Garage )0.9812105761275250
tau( Taxi , Bus )0.9295068932625190
tau( Garage , Bus )0.9229808910635760



Parameters (Session):
par1 = grey ;
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')