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*Unverified author*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Thu, 12 Nov 2009 06:45:23 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Nov/12/t1258033637m2ss7ws2pwzhlzg.htm/, Retrieved Fri, 03 May 2024 21:08:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=55977, Retrieved Fri, 03 May 2024 21:08:29 +0000

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No (this computation is public)

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Estimated Impact

162

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Kendall tau Correlation Matrix] [] [2009-11-12 13:45:23] [cb3e966d7bf80cd999a0432e97d174a7] [Current]

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2.97	4.62	2.67	1.74
3.04	4.64	2.72	1.75
3.12	4.57	2.84	1.83
3.21	4.49	3	2.09
3.34	4.48	3.08	2.12
3.45	4.5	3.21	2.29
3.74	4.52	3.44	2.4
4.02	4.63	3.74	2.82
4.24	4.75	4.08	3.18
4.87	4.99	4.79	4
5.62	5.28	5.44	4.8
6.02	5.33	6.02	5.28
5.98	5.26	6.01	5.37
5.89	5.14	5.85	5.27
5.76	4.99	5.93	5.33
5.58	4.85	5.85	5.23
5.39	4.83	5.74	5.08
5.19	4.83	5.75	5.11
5.16	4.88	5.78	5.1
5.2	4.91	5.62	4.97
5.25	4.93	5.67	5
5.26	4.93	5.89	5.2
5.21	4.95	5.67	4.9
5.18	4.95	5.64	4.82
5.13	4.88	5.64	5.04
5.03	4.78	5.64	4.82
5.01	4.61	5.54	4.77
4.87	4.46	5.52	4.79
4.86	4.42	5.28	4.58
4.82	4.43	5.25	4.59
4.69	4.41	5.23	4.57
4.65	4.4	5.09	4.35
4.61	4.36	5	4.27
4.47	4.36	5.02	4.39
4.37	4.38	4.8	3.97
4.29	4.4	4.71	3.84
4.2	4.37	4.51	3.73
4.19	4.32	4.51	3.58
4.09	4.18	4.42	3.45
3.88	4.04	4.4	3.44
3.87	4	4.25	3.25
3.74	3.97	4.18	3.25
3.61	3.94	4.09	3.02
3.43	3.93	3.97	2.87
3.29	3.89	3.89	2.92
3.18	3.89	4.02	2.95
3.07	3.88	3.81	2.75
3.02	3.9	3.67	2.7
2.97	3.9	3.68	2.75
2.98	3.95	3.66	2.72
3.01	4.02	3.66	2.71
3.06	4.07	3.65	2.76
3.12	4.17	3.67	2.68
3.16	4.27	3.66	2.78
3.19	4.32	3.7	2.86
3.21	4.38	3.77	2.75
3.27	4.45	3.74	2.87
3.36	4.71	3.8	2.91
3.45	4.96	3.79	2.79
3.52	4.95	3.75	2.77
3.58	4.78	3.75	2.79
3.62	4.78	3.75	2.79
3.5	4.68	3.76	2.73
3.43	4.65	3.75	2.87
3.41	4.64	3.74	2.76
3.48	4.74	3.72	2.81
3.63	4.76	3.7	2.78
3.76	4.61	3.71	2.78
3.8	4.75	3.74	2.85
3.72	4.73	3.81	2.9
3.67	4.68	3.78	2.81
3.58	4.68	3.77	2.9
3.47	4.75	3.78	2.93
3.43	4.79	3.77	2.96
3.55	4.81	3.76	2.89
3.65	4.92	3.82	3.07
3.7	4.99	4.12	3.36
3.7	5.18	4.2	3.27
3.93	5.29	4.19	3.4
4.15	5.48	4.36	3.43
4.24	5.66	4.49	3.62

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55977&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55977&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55977&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	2 seconds
R Server	'Sir Ronald Aylmer Fisher' @ 193.190.124.24

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( RenteTot1jaar , RenteMeerDanEenJaar )	0.409190658939542	7.56471991714136e-08
tau( RenteTot1jaar , BedragKleinerDan1Mio )	0.759437341644085	0
tau( RenteTot1jaar , BedragGroterDan1Mio )	0.775073864803676	0
tau( RenteMeerDanEenJaar , BedragKleinerDan1Mio )	0.310038944303177	4.81757401280536e-05
tau( RenteMeerDanEenJaar , BedragGroterDan1Mio )	0.318160944817518	2.94101109923339e-05
tau( BedragKleinerDan1Mio , BedragGroterDan1Mio )	0.898354064825148	0

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( RenteTot1jaar , RenteMeerDanEenJaar ) & 0.409190658939542 & 7.56471991714136e-08 \tabularnewline
tau( RenteTot1jaar , BedragKleinerDan1Mio ) & 0.759437341644085 & 0 \tabularnewline
tau( RenteTot1jaar , BedragGroterDan1Mio ) & 0.775073864803676 & 0 \tabularnewline
tau( RenteMeerDanEenJaar , BedragKleinerDan1Mio ) & 0.310038944303177 & 4.81757401280536e-05 \tabularnewline
tau( RenteMeerDanEenJaar , BedragGroterDan1Mio ) & 0.318160944817518 & 2.94101109923339e-05 \tabularnewline
tau( BedragKleinerDan1Mio , BedragGroterDan1Mio ) & 0.898354064825148 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=55977&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( RenteTot1jaar , RenteMeerDanEenJaar )[/C][C]0.409190658939542[/C][C]7.56471991714136e-08[/C][/ROW]
[ROW][C]tau( RenteTot1jaar , BedragKleinerDan1Mio )[/C][C]0.759437341644085[/C][C]0[/C][/ROW]
[ROW][C]tau( RenteTot1jaar , BedragGroterDan1Mio )[/C][C]0.775073864803676[/C][C]0[/C][/ROW]
[ROW][C]tau( RenteMeerDanEenJaar , BedragKleinerDan1Mio )[/C][C]0.310038944303177[/C][C]4.81757401280536e-05[/C][/ROW]
[ROW][C]tau( RenteMeerDanEenJaar , BedragGroterDan1Mio )[/C][C]0.318160944817518[/C][C]2.94101109923339e-05[/C][/ROW]
[ROW][C]tau( BedragKleinerDan1Mio , BedragGroterDan1Mio )[/C][C]0.898354064825148[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=55977&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=55977&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( RenteTot1jaar , RenteMeerDanEenJaar )	0.409190658939542	7.56471991714136e-08
tau( RenteTot1jaar , BedragKleinerDan1Mio )	0.759437341644085	0
tau( RenteTot1jaar , BedragGroterDan1Mio )	0.775073864803676	0
tau( RenteMeerDanEenJaar , BedragKleinerDan1Mio )	0.310038944303177	4.81757401280536e-05
tau( RenteMeerDanEenJaar , BedragGroterDan1Mio )	0.318160944817518	2.94101109923339e-05
tau( BedragKleinerDan1Mio , BedragGroterDan1Mio )	0.898354064825148	0

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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