FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 20 Dec 2008 18:46:46 -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/21/t12298240815nyid0y5tttya1z.htm/, Retrieved Fri, 17 May 2024 05:03:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=35468, Retrieved Fri, 17 May 2024 05:03:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact183

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...] [2008-12-21 01:46:46] [9f72e095d5529918bf5b0810c01bf6ce] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
467	98,1	98,6
460	101,1	98
448	111,1	106,8
443	93,3	96,7
436	100	100,2
431	108	107,7
484	70,4	92
510	75,4	98,4
513	105,5	107,4
503	112,3	117,7
471	102,5	105,7
471	93,5	97,5
476	86,7	99,9
475	95,2	98,2
470	103,8	104,5
461	97	100,8
455	95,5	101,5
456	101	103,9
517	67,5	99,6
525	64	98,4
523	106,7	112,7
519	100,6	118,4
509	101,2	108,1
512	93,1	105,4
519	84,2	114,6
517	85,8	106,9
510	91,8	115,9
509	92,4	109,8
501	80,3	101,8
507	79,7	114,2
569	62,5	110,8
580	57,1	108,4
578	100,8	127,5
565	100,7	128,6
547	86,2	116,6
555	83,2	127,4

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=35468&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=35468&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35468&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( Werkl , Duurzaam )-0.3235085435931760.00566920230508388
tau( Werkl , N-Duurzaam )0.4051057291970810.000536911167066334
tau( Duurzaam , N-Duurzaam )0.1318507167301660.258207023081393

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( Werkl , Duurzaam ) & -0.323508543593176 & 0.00566920230508388 \tabularnewline
tau( Werkl , N-Duurzaam ) & 0.405105729197081 & 0.000536911167066334 \tabularnewline
tau( Duurzaam , N-Duurzaam ) & 0.131850716730166 & 0.258207023081393 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=35468&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( Werkl , Duurzaam )[/C][C]-0.323508543593176[/C][C]0.00566920230508388[/C][/ROW]
[ROW][C]tau( Werkl , N-Duurzaam )[/C][C]0.405105729197081[/C][C]0.000536911167066334[/C][/ROW]
[ROW][C]tau( Duurzaam , N-Duurzaam )[/C][C]0.131850716730166[/C][C]0.258207023081393[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=35468&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=35468&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( Werkl , Duurzaam )-0.3235085435931760.00566920230508388
tau( Werkl , N-Duurzaam )0.4051057291970810.000536911167066334
tau( Duurzaam , N-Duurzaam )0.1318507167301660.258207023081393


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')