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Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 13 Nov 2009 09:33:06 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/13/t12581300202vrljx923cvfs1d.htm/, Retrieved Sun, 05 May 2024 10:40:42 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=56884, Retrieved Sun, 05 May 2024 10:40:42 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

135

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]
- R  D    [Kendall tau Correlation Matrix] [] [2009-11-13 16:33:06] [d1856923bab8a0db5ebd860815c7444f] [Current]

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Dataseries X:

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Histogram

Boxplots

2.67	1.74	3.2
2.72	1.75	1.9
2.84	1.83	0
3	2.09	0.6
3.08	2.12	0.2
3.21	2.29	0.9
3.44	2.4	2.4
3.74	2.82	4.7
4.08	3.18	9.4
4.79	4	12.5
5.44	4.8	15.8
6.02	5.28	18.2
6.01	5.37	16.8
5.85	5.27	17.3
5.93	5.33	19.3
5.85	5.23	17.9
5.74	5.08	20.2
5.75	5.11	18.7
5.78	5.1	20.1
5.62	4.97	18.2
5.67	5	18.4
5.89	5.2	18.2
5.67	4.9	18.9
5.64	4.82	19.9
5.64	5.04	21.3
5.64	4.82	20
5.54	4.77	19.5
5.52	4.79	19.6
5.28	4.58	20.9
5.25	4.59	21
5.23	4.57	19.9
5.09	4.35	19.6
5	4.27	20.9
5.02	4.39	21.7
4.8	3.97	22.9
4.71	3.84	21.5
4.51	3.73	21.3
4.51	3.58	23.5
4.42	3.45	21.6
4.4	3.44	24.5
4.25	3.25	22.2
4.18	3.25	23.5
4.09	3.02	20.9
3.97	2.87	20.7
3.89	2.92	18.1
4.02	2.95	17.1
3.81	2.75	14.8
3.67	2.7	13.8
3.68	2.75	15.2
3.66	2.72	16
3.66	2.71	17.6
3.65	2.76	15
3.67	2.68	15
3.66	2.78	16.3
3.7	2.86	19.4
3.77	2.75	21.3
3.74	2.87	20.5
3.8	2.91	21.1
3.79	2.79	21.6
3.75	2.77	22.6

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56884&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]0 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=56884&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56884&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( venn< , venn> )	0.935567220976251	0
tau( venn< , ip )	0.217923265715912	0.0145193479208208
tau( venn> , ip )	0.212500548814110	0.0170122339643615

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( venn< , venn> ) & 0.935567220976251 & 0 \tabularnewline
tau( venn< , ip ) & 0.217923265715912 & 0.0145193479208208 \tabularnewline
tau( venn> , ip ) & 0.212500548814110 & 0.0170122339643615 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=56884&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( venn< , venn> )[/C][C]0.935567220976251[/C][C]0[/C][/ROW]
[ROW][C]tau( venn< , ip )[/C][C]0.217923265715912[/C][C]0.0145193479208208[/C][/ROW]
[ROW][C]tau( venn> , ip )[/C][C]0.212500548814110[/C][C]0.0170122339643615[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=56884&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=56884&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
pair	tau	p-value
tau( venn< , venn> )	0.935567220976251	0
tau( venn< , ip )	0.217923265715912	0.0145193479208208
tau( venn> , ip )	0.212500548814110	0.0170122339643615

Figure 1

PNG link

Postscript link

PDF link

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')

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Dataset

Tables (Output of Computation)

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Input Parameters & R Code