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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 computationWed, 24 Oct 2007 11:10:35 -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/2007/Oct/24/j9pwwuc15zum84v1193249130.htm/, Retrieved Sun, 05 May 2024 03:05:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=1744, Retrieved Sun, 05 May 2024 03:05:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgroep 1, deel 2, vraag 2, workshop 3, laatste 5 autotypes
Estimated Impact253

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] [Ws 3 deel 2 vraag 2] [2007-10-24 18:10:35] [3a9a21294b5376b31db75950de0b447d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30.4	15.8	19.7	15	21.4
4	8	6	8	4
95.1	351	145	301	121
113	264	175	335	109
3.77	4.22	3.62	3.54	4.11
1.513	3.17	2.77	3.57	2.78
16.9	14.5	15.5	14.6	18.6

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1744&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1744&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1744&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Kendall tau rank correlations for all pairs of data series
pairtaup-value
tau( LotusEuropa , FordPantL )0.9047619047619050.00277777777777777
tau( LotusEuropa , FerrariDino )10.000396825396825395
tau( LotusEuropa , MaseratiBora )0.9047619047619050.00277777777777777
tau( LotusEuropa , Volvo142E )0.809523809523810.0107142857142857
tau( FordPantL , FerrariDino )0.9047619047619050.00277777777777777
tau( FordPantL , MaseratiBora )0.809523809523810.0107142857142857
tau( FordPantL , Volvo142E )0.9047619047619050.00277777777777777
tau( FerrariDino , MaseratiBora )0.9047619047619050.00277777777777777
tau( FerrariDino , Volvo142E )0.809523809523810.0107142857142857
tau( MaseratiBora , Volvo142E )0.7142857142857140.0301587301587301

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations for all pairs of data series \tabularnewline
pair & tau & p-value \tabularnewline
tau( LotusEuropa , FordPantL ) & 0.904761904761905 & 0.00277777777777777 \tabularnewline
tau( LotusEuropa , FerrariDino ) & 1 & 0.000396825396825395 \tabularnewline
tau( LotusEuropa , MaseratiBora ) & 0.904761904761905 & 0.00277777777777777 \tabularnewline
tau( LotusEuropa , Volvo142E
 ) & 0.80952380952381 & 0.0107142857142857 \tabularnewline
tau( FordPantL , FerrariDino ) & 0.904761904761905 & 0.00277777777777777 \tabularnewline
tau( FordPantL , MaseratiBora ) & 0.80952380952381 & 0.0107142857142857 \tabularnewline
tau( FordPantL , Volvo142E
 ) & 0.904761904761905 & 0.00277777777777777 \tabularnewline
tau( FerrariDino , MaseratiBora ) & 0.904761904761905 & 0.00277777777777777 \tabularnewline
tau( FerrariDino , Volvo142E
 ) & 0.80952380952381 & 0.0107142857142857 \tabularnewline
tau( MaseratiBora , Volvo142E
 ) & 0.714285714285714 & 0.0301587301587301 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=1744&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( LotusEuropa , FordPantL )[/C][C]0.904761904761905[/C][C]0.00277777777777777[/C][/ROW]
[ROW][C]tau( LotusEuropa , FerrariDino )[/C][C]1[/C][C]0.000396825396825395[/C][/ROW]
[ROW][C]tau( LotusEuropa , MaseratiBora )[/C][C]0.904761904761905[/C][C]0.00277777777777777[/C][/ROW]
[ROW][C]tau( LotusEuropa , Volvo142E
 )[/C][C]0.80952380952381[/C][C]0.0107142857142857[/C][/ROW]
[ROW][C]tau( FordPantL , FerrariDino )[/C][C]0.904761904761905[/C][C]0.00277777777777777[/C][/ROW]
[ROW][C]tau( FordPantL , MaseratiBora )[/C][C]0.80952380952381[/C][C]0.0107142857142857[/C][/ROW]
[ROW][C]tau( FordPantL , Volvo142E
 )[/C][C]0.904761904761905[/C][C]0.00277777777777777[/C][/ROW]
[ROW][C]tau( FerrariDino , MaseratiBora )[/C][C]0.904761904761905[/C][C]0.00277777777777777[/C][/ROW]
[ROW][C]tau( FerrariDino , Volvo142E
 )[/C][C]0.80952380952381[/C][C]0.0107142857142857[/C][/ROW]
[ROW][C]tau( MaseratiBora , Volvo142E
 )[/C][C]0.714285714285714[/C][C]0.0301587301587301[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=1744&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=1744&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( LotusEuropa , FordPantL )0.9047619047619050.00277777777777777
tau( LotusEuropa , FerrariDino )10.000396825396825395
tau( LotusEuropa , MaseratiBora )0.9047619047619050.00277777777777777
tau( LotusEuropa , Volvo142E )0.809523809523810.0107142857142857
tau( FordPantL , FerrariDino )0.9047619047619050.00277777777777777
tau( FordPantL , MaseratiBora )0.809523809523810.0107142857142857
tau( FordPantL , Volvo142E )0.9047619047619050.00277777777777777
tau( FerrariDino , MaseratiBora )0.9047619047619050.00277777777777777
tau( FerrariDino , Volvo142E )0.809523809523810.0107142857142857
tau( MaseratiBora , Volvo142E )0.7142857142857140.0301587301587301


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')