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Description of Statistical Computation

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 computationTue, 03 Nov 2009 07:17:34 -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/03/t1257257903jtl3gsachrp2rey.htm/, Retrieved Wed, 01 May 2024 16:35:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53156, Retrieved Wed, 01 May 2024 16:35:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsJSSHWWS6
Estimated Impact209

Tree of Dependent Computations

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]
- RMPD  [Back to Back Histogram] [BacktoBack] [2009-11-03 12:12:21] [214e6e00abbde49700521a7ef1d30da2]
- RMPD      [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2009-11-03 14:17:34] [c8fd62404619100d8e91184019148412] [Current]
- RM D        [Box-Cox Linearity Plot] [Box cox linairity...] [2009-11-03 14:36:05] [214e6e00abbde49700521a7ef1d30da2]
- RMP           [Bagplot] [Bagplot] [2009-11-03 18:19:37] [214e6e00abbde49700521a7ef1d30da2]
-    D            [Bagplot] [Bag plot] [2009-11-05 09:51:07] [214e6e00abbde49700521a7ef1d30da2]
-    D              [Bagplot] [Bagplot] [2009-11-05 18:46:57] [214e6e00abbde49700521a7ef1d30da2]
- RMP           [Bivariate Kernel Density Estimation] [Bivariate kernal ...] [2009-11-03 18:21:13] [214e6e00abbde49700521a7ef1d30da2]
-    D            [Bivariate Kernel Density Estimation] [Bivariate kernal ...] [2009-11-05 09:43:54] [214e6e00abbde49700521a7ef1d30da2]
- RM            [Kendall tau Rank Correlation] [Kendall Rank corr...] [2009-11-03 18:23:38] [214e6e00abbde49700521a7ef1d30da2]
- RMP           [Bivariate Explorative Data Analysis] [Bivariate EDA] [2009-11-03 18:31:55] [214e6e00abbde49700521a7ef1d30da2]
-    D          [Box-Cox Linearity Plot] [Box Cox lineairit...] [2009-11-05 09:38:08] [214e6e00abbde49700521a7ef1d30da2]
- RM D        [Box-Cox Linearity Plot] [Box coc linairity...] [2009-11-03 14:39:06] [214e6e00abbde49700521a7ef1d30da2]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8	11.1	30084	69698
8.1	10.9	26290	60886
7.7	10	24379	67267
7.5	9.2	23335	81723
7.6	9.2	21346	66938
7.8	9.5	21106	117673
7.8	9.6	24514	117873
7.8	9.5	30805	104619
7.5	9.1	28353	105074
7.5	8.9	31348	105856
7.1	9	34556	64918
7.5	10.1	33855	59006
7.5	10.3	34787	74269
7.6	10.2	32529	65562
7.7	9.6	29998	66752
7.7	9.2	29257	80732
7.9	9.3	28155	68229
8.1	9.4	30466	116882
8.2	9.4	35704	116855
8.2	9.2	39327	96773
8.2	9	39351	104083
7.9	9	42234	61344
7.3	9	43630	59094
6.9	9.8	43722	50330
6.6	10	43121	48842
6.7	9.8	37985	73817
6.9	9.3	37135	56173
7	9	34646	68407
7.1	9	33026	83658
7.2	9.1	35087	102355
7.1	9.1	38846	102600
6.9	9.1	42013	86598
7	9.2	43908	92442
6.8	8.8	42868	52663
6.4	8.3	44423	64042
6.7	8.4	44167	51768
6.6	8.1	43636	53708
6.4	7.7	44382	77648
6.3	7.9	42142	60830
6.2	7.9	43452	73504
6.5	8	36912	81314
6.8	7.9	42413	92861
6.8	7.6	45344	99861
6.4	7.1	44873	113777
6.1	6.8	47510	77159
5.8	6.5	49554	76573
6.1	6.9	47369	70059
7.2	8.2	45998	56245
7.3	8.7	48140	78970
6.9	8.3	48441	76239
6.1	7.9	44928	76244
5.8	7.5	40454	115187
6.2	7.8	38661	99296
7.1	8.3	37246	156275
7.7	8.4	36843	193294
7.9	8.2	36424	210544
7.7	7.7	37594	146442
7.4	7.2	38144	169727
7.5	7.3	38737	143482
8	8.1	34560	82977

Tables (Output of Computation)





Summary of computational 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 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=53156&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=53156&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53156&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 computational 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( WklMan , WklVrouw )0.4268654076478142.89231147942992e-06
tau( WklMan , Ovac )-0.4841134748044457.69411596217431e-08
tau( WklMan , Tijdwkl )0.1836292490637550.0415025613218551
tau( WklVrouw , Ovac )-0.4527685314331194.50283771579834e-07
tau( WklVrouw , Tijdwkl )-0.1662061697665880.0639591048529906
tau( Ovac , Tijdwkl )-0.1367231638418080.122719548354146

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( WklMan , WklVrouw ) & 0.426865407647814 & 2.89231147942992e-06 \tabularnewline
tau( WklMan , Ovac ) & -0.484113474804445 & 7.69411596217431e-08 \tabularnewline
tau( WklMan , Tijdwkl ) & 0.183629249063755 & 0.0415025613218551 \tabularnewline
tau( WklVrouw , Ovac ) & -0.452768531433119 & 4.50283771579834e-07 \tabularnewline
tau( WklVrouw , Tijdwkl ) & -0.166206169766588 & 0.0639591048529906 \tabularnewline
tau( Ovac , Tijdwkl ) & -0.136723163841808 & 0.122719548354146 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53156&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( WklMan , WklVrouw )[/C][C]0.426865407647814[/C][C]2.89231147942992e-06[/C][/ROW]
[ROW][C]tau( WklMan , Ovac )[/C][C]-0.484113474804445[/C][C]7.69411596217431e-08[/C][/ROW]
[ROW][C]tau( WklMan , Tijdwkl )[/C][C]0.183629249063755[/C][C]0.0415025613218551[/C][/ROW]
[ROW][C]tau( WklVrouw , Ovac )[/C][C]-0.452768531433119[/C][C]4.50283771579834e-07[/C][/ROW]
[ROW][C]tau( WklVrouw , Tijdwkl )[/C][C]-0.166206169766588[/C][C]0.0639591048529906[/C][/ROW]
[ROW][C]tau( Ovac , Tijdwkl )[/C][C]-0.136723163841808[/C][C]0.122719548354146[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53156&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53156&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( WklMan , WklVrouw )0.4268654076478142.89231147942992e-06
tau( WklMan , Ovac )-0.4841134748044457.69411596217431e-08
tau( WklMan , Tijdwkl )0.1836292490637550.0415025613218551
tau( WklVrouw , Ovac )-0.4527685314331194.50283771579834e-07
tau( WklVrouw , Tijdwkl )-0.1662061697665880.0639591048529906
tau( Ovac , Tijdwkl )-0.1367231638418080.122719548354146


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')