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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 14 Dec 2007 03:50:23 -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/2007/Dec/14/t1197628479nxs8lotqomzmwmg.htm/, Retrieved Fri, 03 May 2024 02:54:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=3831, Retrieved Fri, 03 May 2024 02:54:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact188

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] [Kendall tau zonde...] [2007-12-14 10:50:23] [9bbf43209035234637c4ce5aaffd9fad] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15044.50	15082.00	0.9383	98.6
14944.20	14772.70	0.9217	98.0
16754.80	16083.00	0.9095	106.8
14254.00	14272.50	0.8920	96.6
15454.90	15223.30	0.8742	100.1
15644.80	14897.30	0.8532	107.7
14568.30	13062.60	0.8607	91.5
12520.20	12603.80	0.9005	97.8
14803.00	13629.80	0.9111	107.4
15873.20	14421.10	0.9059	117.5
14755.30	13978.30	0.8883	105.6
12875.10	12927.90	0.8924	97.4
14291.10	13429.90	0.8833	99.5
14205.30	13470.10	0.8700	98.0
15859.40	14785.80	0.8758	104.3
15258.90	14292.00	0.8858	100.6
15498.60	14308.80	0.9170	101.1
15106.50	14013.00	0.9554	103.9
15023.60	13240.90	0.9922	96.9
12083.00	12153.40	0.9778	95.5
15761.30	14289.70	0.9808	108.4
16943.00	15669.20	0.9811	117.0
15070.30	14169.50	1.0014	103.8
13659.60	14569.80	1.0183	100.8
14768.90	14469.10	1.0622	110.6
14725.10	14264.90	1.0773	104.0
15998.10	15320.90	1.0807	112.6
15370.60	14433.50	1.0848	107.3
14956.90	13691.50	1.1582	98.9
15469.70	14194.10	1.1663	109.8
15101.80	13519.20	1.1372	104.9
11703.70	11857.90	1.1139	102.2
16283.60	14615.90	1.1222	123.9
16726.50	15643.40	1.1692	124.9
14968.90	14077.20	1.1702	112.7
14861.00	14887.50	1.2286	121.9
14583.30	14159.90	1.2613	100.6
15305.80	14643.00	1.2646	104.3
17903.90	17192.50	1.2262	120.4
16379.40	15386.10	1.1985	107.5
15420.30	14287.10	1.2007	102.9
17870.50	17526.60	1.2138	125.6
15912.80	14497.00	1.2266	107.5
13866.50	14398.30	1.2176	108.8
17823.20	16629.60	1.2218	128.4
17872.00	16670.70	1.2490	121.1
17420.40	16614.80	1.2991	119.5
16704.40	16869.20	1.3408	128.7
15991.20	15663.90	1.3119	108.7
16583.60	16359.90	1.3014	105.5
19123.50	18447.70	1.3201	119.8
17838.70	16889.00	1.2938	111.3
17209.40	16505.00	1.2694	110.6
18586.50	18320.90	1.2165	120.1
16258.10	15052.10	1.2037	97.5
15141.60	15699.80	1.2292	107.7
19202.10	18135.30	1.2256	127.3
17746.50	16768.70	1.2015	117.2
19090.10	18883.00	1.1786	119.8
18040.30	19021.00	1.1856	116.2

Tables (Output of Computation)





Summary of compuational 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 compuational 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=3831&T=0

[TABLE]
[ROW][C]Summary of compuational 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=3831&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3831&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 compuational 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( uitvoer , invoer )0.7276836158192092.22044604925031e-16
tau( uitvoer , wisselkoers )0.3536723163841816.53574577418325e-05
tau( uitvoer , consumptie )0.5485433920016356.36595665071127e-10
tau( invoer , wisselkoers )0.3909604519774011.01700401609062e-05
tau( invoer , consumptie )0.517974410404025.32655430873774e-09
tau( wisselkoers , consumptie )0.4081525135533324.24236671925371e-06

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( uitvoer , invoer ) & 0.727683615819209 & 2.22044604925031e-16 \tabularnewline
tau( uitvoer , wisselkoers ) & 0.353672316384181 & 6.53574577418325e-05 \tabularnewline
tau( uitvoer , consumptie ) & 0.548543392001635 & 6.36595665071127e-10 \tabularnewline
tau( invoer , wisselkoers ) & 0.390960451977401 & 1.01700401609062e-05 \tabularnewline
tau( invoer , consumptie ) & 0.51797441040402 & 5.32655430873774e-09 \tabularnewline
tau( wisselkoers , consumptie ) & 0.408152513553332 & 4.24236671925371e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=3831&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( uitvoer , invoer )[/C][C]0.727683615819209[/C][C]2.22044604925031e-16[/C][/ROW]
[ROW][C]tau( uitvoer , wisselkoers )[/C][C]0.353672316384181[/C][C]6.53574577418325e-05[/C][/ROW]
[ROW][C]tau( uitvoer , consumptie )[/C][C]0.548543392001635[/C][C]6.36595665071127e-10[/C][/ROW]
[ROW][C]tau( invoer , wisselkoers )[/C][C]0.390960451977401[/C][C]1.01700401609062e-05[/C][/ROW]
[ROW][C]tau( invoer , consumptie )[/C][C]0.51797441040402[/C][C]5.32655430873774e-09[/C][/ROW]
[ROW][C]tau( wisselkoers , consumptie )[/C][C]0.408152513553332[/C][C]4.24236671925371e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=3831&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=3831&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( uitvoer , invoer )0.7276836158192092.22044604925031e-16
tau( uitvoer , wisselkoers )0.3536723163841816.53574577418325e-05
tau( uitvoer , consumptie )0.5485433920016356.36595665071127e-10
tau( invoer , wisselkoers )0.3909604519774011.01700401609062e-05
tau( invoer , consumptie )0.517974410404025.32655430873774e-09
tau( wisselkoers , consumptie )0.4081525135533324.24236671925371e-06


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')