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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 computationSat, 14 Nov 2009 08:07:47 -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/14/t1258211316gp3ce8k6a064np9.htm/, Retrieved Sun, 28 Apr 2024 07:32:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=57233, Retrieved Sun, 28 Apr 2024 07:32:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

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] [3/11/2009] [2009-11-02 21:25:00] [b98453cac15ba1066b407e146608df68]
-    D    [Kendall tau Correlation Matrix] [WS6] [2009-11-14 15:07:47] [48076ccf082563ab8a2c81e57fdb5364] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
10723,8	3142,7	10414,9	3983,4
13938,9	3884,3	12476,8	4152,9
13979,8	3892,2	12384,6	4286,1
13807,4	3613	12266,7	4348,1
12973,9	3730,5	12919,9	3949,3
12509,8	3481,3	11497,3	4166,7
12934,1	3649,5	12142	4217,9
14908,3	4215,2	13919,4	4528,2
13772,1	4066,6	12656,8	4232,2
13012,6	4196,8	12034,1	4470,9
14049,9	4536,6	13199,7	5121,2
11816,5	4441,6	10881,3	4170,8
11593,2	3548,3	11301,2	4398,6
14466,2	4735,9	13643,9	4491,4
13615,9	4130,6	12517	4251,8
14733,9	4356,2	13981,1	4901,9
13880,7	4159,6	14275,7	4745,2
13527,5	3988	13435	4666,9
13584	4167,8	13565,7	4210,4
16170,2	4902,2	16216,3	5273,6
13260,6	3909,4	12970	4095,3
14741,9	4697,6	14079,9	4610,1
15486,5	4308,9	14235	4718,1
13154,5	4420,4	12213,4	4185,5
12621,2	3544,2	12581	4314,7
15031,6	4433	14130,4	4422,6
15452,4	4479,7	14210,8	5059,2
15428	4533,2	14378,5	5043,6
13105,9	4237,5	13142,8	4436,6
14716,8	4207,4	13714,7	4922,6
14180	4394	13621,9	4454,8
16202,2	5148,4	15379,8	5058,7
14392,4	4202,2	13306,3	4768,9
15140,6	4682,5	14391,2	5171,8
15960,1	4884,3	14909,9	4989,3
14351,3	5288,9	14025,4	5202,1
13230,2	4505,2	12951,2	4838,4
15202,1	4611,5	14344,3	4876,5
17056	5104	16093,4	5875,5
16077,7	4586,6	15413,6	5717,9
13348,2	4529,3	14705,7	4778,8
16402,4	4504,1	15972,8	6195,9
16559,1	4604,9	16241,4	4625,4
16579	4795,4	16626,4	5549,8
17561,2	5391,1	17136,2	6397,6
16129,6	5213,9	15622,9	5856,7
18484,3	5415	18003,9	6343,8
16402,6	5990,3	16136,1	6615,5
14032,3	4241,8	14423,7	5904,6
17109,1	5677,6	16789,4	6861
17157,2	5164,2	16782,2	6553,5
13879,8	3962,3	14133,8	5481
12362,4	4011	12607	5435,3
12683,5	3310,3	12004,5	5278
12608,8	3837,3	12175,4	4671,8
13583,7	4145,3	13268	4891,5
12846,3	3796,7	12299,3	4241,6
12347,1	3849,6	11800,6	4152,1
13967	4285	13873,3	4484,4
13114,3	4189,6	12269,6	4124,7

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=57233&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=57233&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57233&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( Uit_IEU , Uit_EEU )0.6384180790960455.71764857681956e-13
tau( Uit_IEU , In_IEU )0.7819209039548020
tau( Uit_IEU , In_EEU )0.5322033898305091.87816318053535e-09
tau( Uit_EEU , In_IEU )0.6485875706214692.44471110022459e-13
tau( Uit_EEU , In_EEU )0.5096045197740118.77300054824559e-09
tau( In_IEU , In_EEU )0.5966101694915251.63826729959737e-11

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Uit_IEU , Uit_EEU ) & 0.638418079096045 & 5.71764857681956e-13 \tabularnewline
tau( Uit_IEU , In_IEU ) & 0.781920903954802 & 0 \tabularnewline
tau( Uit_IEU , In_EEU ) & 0.532203389830509 & 1.87816318053535e-09 \tabularnewline
tau( Uit_EEU , In_IEU ) & 0.648587570621469 & 2.44471110022459e-13 \tabularnewline
tau( Uit_EEU , In_EEU ) & 0.509604519774011 & 8.77300054824559e-09 \tabularnewline
tau( In_IEU , In_EEU ) & 0.596610169491525 & 1.63826729959737e-11 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=57233&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( Uit_IEU , Uit_EEU )[/C][C]0.638418079096045[/C][C]5.71764857681956e-13[/C][/ROW]
[ROW][C]tau( Uit_IEU , In_IEU )[/C][C]0.781920903954802[/C][C]0[/C][/ROW]
[ROW][C]tau( Uit_IEU , In_EEU )[/C][C]0.532203389830509[/C][C]1.87816318053535e-09[/C][/ROW]
[ROW][C]tau( Uit_EEU , In_IEU )[/C][C]0.648587570621469[/C][C]2.44471110022459e-13[/C][/ROW]
[ROW][C]tau( Uit_EEU , In_EEU )[/C][C]0.509604519774011[/C][C]8.77300054824559e-09[/C][/ROW]
[ROW][C]tau( In_IEU , In_EEU )[/C][C]0.596610169491525[/C][C]1.63826729959737e-11[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=57233&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=57233&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( Uit_IEU , Uit_EEU )0.6384180790960455.71764857681956e-13
tau( Uit_IEU , In_IEU )0.7819209039548020
tau( Uit_IEU , In_EEU )0.5322033898305091.87816318053535e-09
tau( Uit_EEU , In_IEU )0.6485875706214692.44471110022459e-13
tau( Uit_EEU , In_EEU )0.5096045197740118.77300054824559e-09
tau( In_IEU , In_EEU )0.5966101694915251.63826729959737e-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')