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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 computationFri, 13 Nov 2009 12:11:20 -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/13/t125813953362dz16rmzyntlpi.htm/, Retrieved Sun, 05 May 2024 18:01:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57021, Retrieved Sun, 05 May 2024 18:01:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

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 Corre...] [2009-11-13 19:11:20] [64e929ed9a52e44aa31e1ff8e49d1c0b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.2176 613.70 913.90 699.8  
1.2218 759.20 888.00 871.2
1.2490 816.40 973.80 842.6
1.2991 736.80 927.60 809.2
1.3408 680.10 833.00 847.1
1.3119 736.50 879.50 857
1.3014 637.20 797.30 839.9
1.3201 801.90 834.50 967.4
1.2938 772.30 735.10 1037.2
1.2694 897.30 835.00 1062.3
1.2165 792.10 892.80 899.3
1.2037 826.80 697.20 1129.6 
1.2292 666.80 821.10 845.7
1.2256 906.60 732.70 1173.9
1.2015 871.40 797.60 1073.8
1.1786 891.00 866.30 1021.7
1.1856 739.20 826.30 912.9
1.2103 833.60 778.60 1055
1.1938 715.60 779.20 936.4
1.2020 871.60 951.00 920.6
1.2271 751.60 692.30 1059.3
1.2770 1005.5 841.40 1164.1
1.2650 681.20 857.30 823.9
1.2684 837.30 760.70 1076.6
1.2811 674.40 841.20 833.5
1.2727 806.30 810.30 996
1.2611 860.20 1007.4 852.8
1.2881 689.80 931.30 758.5
1.3213 691.60 931.20 760.4
1.2999 682.60 855.80 826.8
1.3074 800.10 858.40 941.7
1.3242 1023.7 925.90 1097.8
1.3516 733.50 930.70 802.8
1.3511 875.30 1035.6 839.7
1.3419 770.20 979.20 791
1.3716 1005.7 942.60 1063.1
1.3622 982.30 843.90 1138.4
1.3896 742.90 854.30 888.6
1.4227 977.60 1046.5 931.1
1.4684 823.90 960.70 863.2
1.4570 791.60 855.40 936.2
1.4718 755.50 1053.8 701.7
1.4748 748.00 874.20 873.8
1.5527 763.80 1067.0 696.8
1.5750 871.50 1213.4 658.1
1.5557 837.00 1130.3 706.7
1.5553 726.10 1267.6 458.5
1.5770 899.30 1213.6 685.7
1.4975 630.70 970.60 660.1
1.4369 985.80 1210.9 774.9
1.3322 884.10 1096.7 787.4
1.2732 606.00 1119.1 486.9
1.3449 582.60 1271.8 310.8
1.3239 593.40 973.90 619.5
1.2785 620.60 1070.4 550.2
1.3050 621.60 1158.2 463.4
1.3190 620.30 989.90 630.4
1.3650 639.90 910.90 729
1.4016 560.70 1075.1 485.6
1.4088 489.80 1036.1 453.7

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=57021&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=57021&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57021&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( WK , UIT )-0.02485875706214690.778995098168482
tau( WK , IN )0.4282485875706211.33501200338948e-06
tau( WK , HB )-0.3242937853107340.000251300733568019
tau( UIT , IN )-0.09039548022598870.30750632753393
tau( UIT , HB )0.4994350282485881.71948248972598e-08
tau( IN , HB )-0.5909604519774012.53525318648772e-11

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( WK , UIT ) & -0.0248587570621469 & 0.778995098168482 \tabularnewline
tau( WK , IN ) & 0.428248587570621 & 1.33501200338948e-06 \tabularnewline
tau( WK , HB ) & -0.324293785310734 & 0.000251300733568019 \tabularnewline
tau( UIT , IN ) & -0.0903954802259887 & 0.30750632753393 \tabularnewline
tau( UIT , HB ) & 0.499435028248588 & 1.71948248972598e-08 \tabularnewline
tau( IN , HB ) & -0.590960451977401 & 2.53525318648772e-11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57021&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( WK , UIT )[/C][C]-0.0248587570621469[/C][C]0.778995098168482[/C][/ROW]
[ROW][C]tau( WK , IN )[/C][C]0.428248587570621[/C][C]1.33501200338948e-06[/C][/ROW]
[ROW][C]tau( WK , HB )[/C][C]-0.324293785310734[/C][C]0.000251300733568019[/C][/ROW]
[ROW][C]tau( UIT , IN )[/C][C]-0.0903954802259887[/C][C]0.30750632753393[/C][/ROW]
[ROW][C]tau( UIT , HB )[/C][C]0.499435028248588[/C][C]1.71948248972598e-08[/C][/ROW]
[ROW][C]tau( IN , HB )[/C][C]-0.590960451977401[/C][C]2.53525318648772e-11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57021&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57021&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( WK , UIT )-0.02485875706214690.778995098168482
tau( WK , IN )0.4282485875706211.33501200338948e-06
tau( WK , HB )-0.3242937853107340.000251300733568019
tau( UIT , IN )-0.09039548022598870.30750632753393
tau( UIT , HB )0.4994350282485881.71948248972598e-08
tau( IN , HB )-0.5909604519774012.53525318648772e-11


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')