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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 computationSun, 21 Dec 2008 16:01:46 -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/2008/Dec/22/t12299005601742x8jxl7z4hu5.htm/, Retrieved Mon, 13 May 2024 16:44:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35899, Retrieved Mon, 13 May 2024 16:44:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact193

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Spectral Analysis] [Taak] [2008-12-17 21:09:01] [f3161d5a04a14312cd010aa8f92941cc]
-   P   [Spectral Analysis] [Taak] [2008-12-17 21:10:24] [f3161d5a04a14312cd010aa8f92941cc]
- RMPD    [Kendall tau Correlation Matrix] [Taak] [2008-12-17 21:21:07] [a0c3f7f6bb6d3d65b8bcf25e6a3c7584]
-    D        [Kendall tau Correlation Matrix] [hd] [2008-12-21 23:01:46] [7a2afff08a618fdf6611a1bb6e1c3da4] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
130,3	485
130,9	464
104,7	460
115,2	467
124,5	460
112,3	448
127,5	443
120,6	436
117,5	431
117,7	484
120,4	510
125	513
131,6	503
121,1	471
114,2	471
112,1	476
127	475
116,8	470
112	461
129,7	455
113,6	456
115,7	517
119,5	525
125,8	523
129,6	519
128	509
112,8	512
101,6	519
123,9	517
118,8	510
109,1	509
130,6	501
112,4	507
111	569
116,2	580
119,8	578
117,2	565
127,3	547
107,7	555
97,5	562
120,1	561
110,6	555
111,3	544
119,8	537
105,5	543
108,7	594
128,7	611
119,5	613
121,1	611
128,4	594
108,8	595
107,5	591
125,6	589
102,9	584
107,5	573
120,4	567
104,3	569
100,6	621
121,9	629
112,7	628
124,9	612
123,9	595
102,2	597
104,9	593
109,8	590
98,9	580
107,3	574
112,6	573
104	573
110,6	620
100,8	626
103,8	620
117	588
108,4	566
95,5	557
96,9	561
103,9	549
101,1	532
100,6	526
104,3	511
98	499
99,5	555
97,4	565
105,6	542
117,5	527
107,4	510
97,8	514
91,5	517
107,7	508
100,1	493
96,6	490
106,8	469
98	478
98,6	528

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 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 & 0 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35899&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]0 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=35899&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35899&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 time0 seconds
R Server'George Udny Yule' @ 72.249.76.132






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( PROD , WLH )-0.1063635285600340.130382591512727

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( PROD , WLH ) & -0.106363528560034 & 0.130382591512727 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35899&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( PROD , WLH )[/C][C]-0.106363528560034[/C][C]0.130382591512727[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35899&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35899&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( PROD , WLH )-0.1063635285600340.130382591512727


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')