FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationTue, 08 Jan 2008 10:57:03 -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/Jan/08/t1199814962q20ms1pxnb2s55x.htm/, Retrieved Mon, 13 May 2024 21:26:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=7929, Retrieved Mon, 13 May 2024 21:26:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact322

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] [paper] [2008-01-08 17:57:03] [bd0e3b74339db15b9ec76abfe0d5b55e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1,0137	89,97
0,9834	99,8
0,9643	112,99
0,947	93,69
0,906	108,02
0,9492	99,11
0,9397	94,33
0,9041	83,75
0,8721	106,37
0,8552	109,63
0,8564	105,5
0,8973	96,13
0,9383	102,48
0,9217	101,37
0,9095	112,76
0,892	95,57
0,8742	102,81
0,8532	104,13
0,8607	97,52
0,9005	85,29
0,9111	101,01
0,9059	108,48
0,8883	101,33
0,8924	87,57
0,8833	97,44
0,87	96,06
0,8758	106,67
0,8858	102,67
0,917	104,54
0,9554	102,46
0,9922	103,35
0,9778	83,27
0,9808	108,22
0,9811	115,23
1,0014	103,7
1,0183	93,61
1,0622	100,25
1,0773	100,56
1,0807	108,86
1,0848	105,43
1,1582	104,77
1,1663	109,13
1,1372	106,13
1,1139	82,27
1,1222	113,6
1,1692	117,73
1,1702	104,83
1,2286	104,61
1,2613	102,93
1,2646	106,95
1,2262	123,45
1,1985	111,99
1,2007	103,95
1,2138	122,05
1,2266	108,04
1,2176	93,72
1,2218	119,61
1,249	118,29
1,2991	117,14
1,3408	112,76
1,3119	105,97
1,3014	107,96
1,3201	122,27
1,2938	114,54
1,2694	110,15
1,2165	120,02
1,2037	103,94
1,2292	96,18
1,2256	121,01
1,2015	110,55
1,1786	120,04
1,1856	114,19

Tables (Output of Computation)





Summary of compuational 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 compuational 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=7929&T=0

[TABLE]
[ROW][C]Summary of compuational 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=7929&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7929&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 compuational 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( wisselkoers , uitvoer )0.321267859798296.5758938082805e-05

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( wisselkoers , uitvoer ) & 0.32126785979829 & 6.5758938082805e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=7929&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( wisselkoers , uitvoer )[/C][C]0.32126785979829[/C][C]6.5758938082805e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=7929&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=7929&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( wisselkoers , uitvoer )0.321267859798296.5758938082805e-05


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')