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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 computationWed, 04 Nov 2009 04:03:37 -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/04/t1257332824nhzp94bxy32dozd.htm/, Retrieved Mon, 29 Apr 2024 11:25:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=53551, Retrieved Mon, 29 Apr 2024 11:25:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact167

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] [Workshop 5 Kendal...] [2009-11-04 11:03:37] [ac86848d66148c9c4c9404e0c9a511eb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.5	79.8	107.5	109.87
94.2	83.4	108.8	95.74
115.9	113.6	128.4	123.06
111.9	112.9	121.1	123.39
106.5	104	119.5	120.28
96.3	109.9	128.7	115.33
96.6	99	108.7	110.4
96.1	106.3	105.5	114.49
102.9	128.9	119.8	132.03
101.9	111.1	111.3	123.16
98.2	102.9	110.6	118.82
110.9	130	120.1	128.32
87.2	87	97.5	112.24
91.7	87.5	107.7	104.53
108.5	117.6	127.3	132.57
102.8	103.4	117.2	122.52
105.4	110.8	119.8	131.8
129.8	112.6	116.2	124.55
110.9	102.5	111	120.96
106	112.4	112.4	122.6
109.1	135.6	130.6	145.52
104.2	105.1	109.1	118.57
105	127.7	118.8	134.25
106.2	137	123.9	136.7
105.2	91	101.6	121.37
105.6	90.5	112.8	111.63
108.5	122.4	128	134.42
112.5	123.3	129.6	137.65
107	124.3	125.8	137.86
108.9	120	119.5	119.77
109.9	118.1	115.7	130.69
106.2	119	113.6	128.28
112	142.7	129.7	147.45
104.1	123.6	112	128.42
105	129.6	116.8	136.9
108.3	151.6	127	143.95
102.4	110.4	112.1	135.64
106.7	99.2	114.2	122.48
107.1	130.5	121.1	136.83
115.7	136.2	131.6	153.04
109.7	129.7	125	142.71
108.1	128	120.4	123.46
114	121.6	117.7	144.37
111.7	135.8	117.5	146.15
109.5	143.8	120.6	147.61
103.3	147.5	127.5	158.51
102.1	136.2	112.3	147.4
104.4	156.6	124.5	165.05
101.5	123.3	115.2	154.64
103.9	104.5	104.7	126.2
106	139.8	130.9	157.36
109.8	136.5	129.2	154.15
106.9	112.1	113.5	123.21
106.7	118.5	125.6	113.07
107	94.4	107.6	110.45
100.7	102.3	107	113.57
102.7	111.4	121.6	122.44
96.7	99.2	110.7	114.93
98.4	87.8	106.3	111.85
102	115.8	118.6	126.04

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53551&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53551&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53551&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( inter , inves )0.3535413034637416.87311742808561e-05
tau( inter , cons )0.436260903312639.01508759643121e-07
tau( inter , uitv )0.3413536278400270.000119847304381970
tau( inves , cons )0.547821165817776.63365362640889e-10
tau( inves , uitv )0.725473826122382.22044604925031e-16
tau( cons , uitv )0.4721517106875971.00457210772120e-07

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( inter , inves ) & 0.353541303463741 & 6.87311742808561e-05 \tabularnewline
tau( inter , cons ) & 0.43626090331263 & 9.01508759643121e-07 \tabularnewline
tau( inter , uitv ) & 0.341353627840027 & 0.000119847304381970 \tabularnewline
tau( inves , cons ) & 0.54782116581777 & 6.63365362640889e-10 \tabularnewline
tau( inves , uitv ) & 0.72547382612238 & 2.22044604925031e-16 \tabularnewline
tau( cons , uitv ) & 0.472151710687597 & 1.00457210772120e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=53551&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( inter , inves )[/C][C]0.353541303463741[/C][C]6.87311742808561e-05[/C][/ROW]
[ROW][C]tau( inter , cons )[/C][C]0.43626090331263[/C][C]9.01508759643121e-07[/C][/ROW]
[ROW][C]tau( inter , uitv )[/C][C]0.341353627840027[/C][C]0.000119847304381970[/C][/ROW]
[ROW][C]tau( inves , cons )[/C][C]0.54782116581777[/C][C]6.63365362640889e-10[/C][/ROW]
[ROW][C]tau( inves , uitv )[/C][C]0.72547382612238[/C][C]2.22044604925031e-16[/C][/ROW]
[ROW][C]tau( cons , uitv )[/C][C]0.472151710687597[/C][C]1.00457210772120e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=53551&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=53551&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( inter , inves )0.3535413034637416.87311742808561e-05
tau( inter , cons )0.436260903312639.01508759643121e-07
tau( inter , uitv )0.3413536278400270.000119847304381970
tau( inves , cons )0.547821165817776.63365362640889e-10
tau( inves , uitv )0.725473826122382.22044604925031e-16
tau( cons , uitv )0.4721517106875971.00457210772120e-07


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')