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Author's title

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

Thu, 17 Dec 2009 03:06:10 -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/Dec/17/t12610444300e8i6ikypuod02p.htm/, Retrieved Tue, 30 Apr 2024 07:35:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=68689, Retrieved Tue, 30 Apr 2024 07:35:29 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

147

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] [Kendall tau corre...] [2009-12-17 10:06:10] [b1ac221d009d6e5c29a4ef1869874933] [Current]

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Dataseries X:

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Histogram

Boxplots

97.6	89.6	1363	82.9
96.9	92.8	1664	83.8
105.6	107.6	2179	86.2
102.8	104.6	2305	86.1
101.7	103	2098	86.2
104.2	106.9	2231	88.8
92.7	56.3	1407	89.6
91.9	93.4	1966	87.8
106.5	109.1	2293	88.3
112.3	113.8	2045	88.6
102.8	97.4	1532	91
96.5	72.5	1333	91.5
101	82.7	1583	95.4
98.9	88.9	1712	98.7
105.1	105.9	2641	99.9
103	100.8	2267	98.6
99	94	2126	100.3
104.3	105	2231	100.2
94.6	58.5	1517	100.4
90.4	87.6	2010	101.4
108.9	113.1	2628	103
111.4	112.5	2115	109.1
100.8	89.6	1829	111.4
102.5	74.5	1636	114.1
98.2	82.7	1787	121.8
98.7	90.1	2122	127.6
113.3	109.4	2620	129.9
104.6	96	2555	128
99.3	89.2	2338	123.5
111.8	109.1	2523	124
97.3	49.1	1798	127.4
97.7	92.9	2415	127.6
115.6	107.7	2388	128.4
111.9	103.5	2267	131.4
107	91.1	2134	135.1
107.1	79.8	1759	134
100.6	71.9	1905	144.5
99.2	82.9	2175	147.3
108.4	90.1	2341	150.9
103	100.7	2673	148.7
99.8	90.7	2765	141.4
115	108.8	2781	138.9
90.8	44.1	1998	139.8
95.9	93.6	2587	145.6
114.4	107.4	2732	147.9
108.2	96.5	2696	148.5
112.6	93.6	2461	151.1
109.1	76.5	1979	157.5
105	76.7	2181	167.5
105	84	2419	172.3
118.5	103.3	2980	173.5
103.7	88.5	2750	187.5
112.5	99	2913	205.5
116.6	105.9	2838	195.1
96.6	44.7	1884	204.5
101.9	94	2690	204.5
116.5	107.1	2715	201.7
119.3	104.8	2629	207
115.4	102.5	2373	206.6
108.5	77.7	1827	210.6
111.5	85.2	2004	211.1
108.8	91.3	2187	215
121.8	106.5	2485	223.9
109.6	92.4	2517	238.2
112.2	97.5	2538	238.9
119.6	107	2481	229.6
104.1	51.1	1865	232.2
105.3	98.6	2307	222.1
115	102.2	2383	221.6
124.1	114.3	2362	227.3
116.8	99.4	2081	221
107.5	72.5	1648	213.6
115.6	92.3	1795	243.4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 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=68689&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=68689&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68689&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	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Kendall tau rank correlations for all pairs of data series
pair	tau	p-value
tau( totinduszbouw , bouwn )	0.436772911477522	4.93383263133751e-08
tau( totinduszbouw , aant_woong )	0.356258393107742	8.46242624108484e-06
tau( totinduszbouw , prijsindex_indusgr )	0.394054906664133	8.44887276141293e-07
tau( bouwn , aant_woong )	0.40793011812513	3.4639651280699e-07
tau( bouwn , prijsindex_indusgr )	-0.0285986783902799	0.720927278777232
tau( aant_woong , prijsindex_indusgr )	0.252523333468913	0.00159069183343297

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( totinduszbouw , bouwn ) & 0.436772911477522 & 4.93383263133751e-08 \tabularnewline
tau( totinduszbouw , aant_woong ) & 0.356258393107742 & 8.46242624108484e-06 \tabularnewline
tau( totinduszbouw , prijsindex_indusgr ) & 0.394054906664133 & 8.44887276141293e-07 \tabularnewline
tau( bouwn , aant_woong ) & 0.40793011812513 & 3.4639651280699e-07 \tabularnewline
tau( bouwn , prijsindex_indusgr ) & -0.0285986783902799 & 0.720927278777232 \tabularnewline
tau( aant_woong , prijsindex_indusgr ) & 0.252523333468913 & 0.00159069183343297 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=68689&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( totinduszbouw , bouwn )[/C][C]0.436772911477522[/C][C]4.93383263133751e-08[/C][/ROW]
[ROW][C]tau( totinduszbouw , aant_woong )[/C][C]0.356258393107742[/C][C]8.46242624108484e-06[/C][/ROW]
[ROW][C]tau( totinduszbouw , prijsindex_indusgr )[/C][C]0.394054906664133[/C][C]8.44887276141293e-07[/C][/ROW]
[ROW][C]tau( bouwn , aant_woong )[/C][C]0.40793011812513[/C][C]3.4639651280699e-07[/C][/ROW]
[ROW][C]tau( bouwn , prijsindex_indusgr )[/C][C]-0.0285986783902799[/C][C]0.720927278777232[/C][/ROW]
[ROW][C]tau( aant_woong , prijsindex_indusgr )[/C][C]0.252523333468913[/C][C]0.00159069183343297[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=68689&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=68689&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( totinduszbouw , bouwn )	0.436772911477522	4.93383263133751e-08
tau( totinduszbouw , aant_woong )	0.356258393107742	8.46242624108484e-06
tau( totinduszbouw , prijsindex_indusgr )	0.394054906664133	8.44887276141293e-07
tau( bouwn , aant_woong )	0.40793011812513	3.4639651280699e-07
tau( bouwn , prijsindex_indusgr )	-0.0285986783902799	0.720927278777232
tau( aant_woong , prijsindex_indusgr )	0.252523333468913	0.00159069183343297

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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Input Parameters & R Code