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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 10 Dec 2012 14:31:14 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/10/t1355168029xk7st80xzq265hu.htm/, Retrieved Fri, 26 Apr 2024 22:59:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198301, Retrieved Fri, 26 Apr 2024 22:59:15 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [WS10 - F1] [2012-12-10 19:31:14] [0ab7a1f5c5e2896cc7067de738ff1e9d] [Current]
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Dataseries X:
1,593	1,613	1,524
1,619	1,638	1,486
1,619	1,638	1,486
1,618	1,638	1,486
1,618	1,638	1,486
1,618	1,638	1,486
1,653	1,673	1,523
1,653	1,673	1,523
1,653	1,673	1,523
1,653	1,673	1,523
1,653	1,673	1,523
1,653	1,673	1,523
1,653	1,673	1,523
1,653	1,673	1,55
1,667	1,688	1,55
1,667	1,688	1,55
1,667	1,688	1,55
1,667	1,688	1,55
1,667	1,688	1,55
1,667	1,688	1,55
1,667	1,688	1,516
1,667	1,688	1,516
1,667	1,688	1,516
1,667	1,688	1,516
1,667	1,688	1,516
1,667	1,688	1,516
1,667	1,688	1,516
1,667	1,688	1,516
1,667	1,688	1,498
1,667	1,688	1,498
1,667	1,688	1,498
1,667	1,688	1,498
1,667	1,688	1,498
1,667	1,688	1,498
1,667	1,688	1,498
1,667	1,688	1,498
1,667	1,688	1,498
1,667	1,688	1,498
1,667	1,688	1,498
1,667	1,688	1,542
1,667	1,688	1,542
1,667	1,688	1,526
1,687	1,707	1,526
1,687	1,707	1,526
1,687	1,707	1,526
1,687	1,707	1,526
1,687	1,707	1,526
1,687	1,707	1,526
1,687	1,707	1,55
1,687	1,707	1,55
1,687	1,707	1,55
1,687	1,707	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,713	1,733	1,55
1,741	1,76	1,55
1,741	1,76	1,55
1,741	1,76	1,55
1,741	1,76	1,55
1,741	1,76	1,55
1,741	1,76	1,55
1,741	1,76	1,55
1,741	1,76	1,55
1,741	1,76	1,55
1,741	1,76	1,579
1,769	1,789	1,579
1,769	1,789	1,579
1,769	1,789	1,579
1,769	1,789	1,579
1,769	1,789	1,579
1,769	1,789	1,579
1,769	1,789	1,579
1,769	1,789	1,579
1,743	1,762	1,552
1,743	1,762	1,552
1,743	1,762	1,552
1,743	1,762	1,552
1,743	1,762	1,552
1,743	1,762	1,552
1,789	1,808	1,552
1,789	1,808	1,552
1,789	1,808	1,552
1,789	1,808	1,552
1,789	1,809	1,553
1,789	1,809	1,553
1,789	1,809	1,553
1,789	1,809	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,804	1,824	1,553
1,777	1,797	1,553
1,777	1,797	1,538
1,777	1,797	1,538
1,777	1,797	1,538
1,777	1,797	1,538
1,777	1,797	1,538
1,777	1,797	1,538
1,736	1,756	1,538
1,736	1,756	1,538
1,736	1,756	1,538
1,736	1,756	1,538
1,736	1,756	1,538
1,736	1,756	1,538
1,736	1,756	1,538
1,736	1,756	1,538
1,736	1,756	1,538
1,719	1,759	1,538
1,719	1,759	1,538
1,719	1,759	1,538
1,719	1,759	1,538
1,719	1,759	1,538
1,719	1,759	1,503
1,719	1,759	1,503
1,719	1,759	1,503
1,719	1,759	1,503
1,719	1,759	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,693	1,733	1,503
1,71	1,752	1,503
1,71	1,752	1,503
1,71	1,752	1,503
1,71	1,752	1,503
1,71	1,752	1,503
1,71	1,752	1,467
1,71	1,752	1,467
1,687	1,729	1,467
1,687	1,729	1,467
1,687	1,729	1,467
1,687	1,729	1,467
1,687	1,729	1,467
1,687	1,729	1,467
1,659	1,7	1,467
1,659	1,7	1,467
1,659	1,7	1,467
1,659	1,7	1,467
1,659	1,7	1,467
1,659	1,7	1,467
1,659	1,7	1,467
1,659	1,7	1,45
1,659	1,7	1,45
1,641	1,682	1,45
1,641	1,682	1,45
1,641	1,682	1,45
1,641	1,682	1,45
1,641	1,682	1,45
1,641	1,682	1,45
1,641	1,682	1,45
1,641	1,682	1,45
1,641	1,682	1,45




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=198301&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=198301&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198301&T=0

As an alternative you can also use a 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'Herman Ole Andreas Wold' @ wold.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.







Correlations for all pairs of data series (method=pearson)
Super95Super98Diesel
Super9510.9810.679
Super980.98110.563
Diesel 0.6790.5631

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Super95 & Super98 & Diesel
 \tabularnewline
Super95 & 1 & 0.981 & 0.679 \tabularnewline
Super98 & 0.981 & 1 & 0.563 \tabularnewline
Diesel
 & 0.679 & 0.563 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198301&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Super95[/C][C]Super98[/C][C]Diesel
[/C][/ROW]
[ROW][C]Super95[/C][C]1[/C][C]0.981[/C][C]0.679[/C][/ROW]
[ROW][C]Super98[/C][C]0.981[/C][C]1[/C][C]0.563[/C][/ROW]
[ROW][C]Diesel
[/C][C]0.679[/C][C]0.563[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198301&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198301&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=pearson)
Super95Super98Diesel
Super9510.9810.679
Super980.98110.563
Diesel 0.6790.5631







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Super95;Super980.98140.98240.9239
p-value(0)(0)(0)
Super95;Diesel 0.67950.76110.6027
p-value(0)(0)(0)
Super98;Diesel 0.56280.67950.5267
p-value(0)(0)(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Super95;Super98 & 0.9814 & 0.9824 & 0.9239 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Super95;Diesel
 & 0.6795 & 0.7611 & 0.6027 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Super98;Diesel
 & 0.5628 & 0.6795 & 0.5267 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198301&T=2

[TABLE]
[ROW][C]Correlations for all pairs of data series with p-values[/C][/ROW]
[ROW][C]pair[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]Super95;Super98[/C][C]0.9814[/C][C]0.9824[/C][C]0.9239[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Super95;Diesel
[/C][C]0.6795[/C][C]0.7611[/C][C]0.6027[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Super98;Diesel
[/C][C]0.5628[/C][C]0.6795[/C][C]0.5267[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198301&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198301&T=2

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Super95;Super980.98140.98240.9239
p-value(0)(0)(0)
Super95;Diesel 0.67950.76110.6027
p-value(0)(0)(0)
Super98;Diesel 0.56280.67950.5267
p-value(0)(0)(0)



Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = pearson ;
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=par1)
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Correlations for all pairs of data series with p-values',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'pair',1,TRUE)
a<-table.element(a,'Pearson r',1,TRUE)
a<-table.element(a,'Spearman rho',1,TRUE)
a<-table.element(a,'Kendall tau',1,TRUE)
a<-table.row.end(a)
cor.test(y[1,],y[2,],method=par1)
for (i in 1:(n-1))
{
for (j in (i+1):n)
{
a<-table.row.start(a)
dum <- paste(dimnames(t(x))[[2]][i],';',dimnames(t(x))[[2]][j],sep='')
a<-table.element(a,dum,header=TRUE)
rp <- cor.test(y[i,],y[j,],method='pearson')
a<-table.element(a,round(rp$estimate,4))
rs <- cor.test(y[i,],y[j,],method='spearman')
a<-table.element(a,round(rs$estimate,4))
rk <- cor.test(y[i,],y[j,],method='kendall')
a<-table.element(a,round(rk$estimate,4))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=T)
a<-table.element(a,paste('(',round(rp$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rs$p.value,4),')',sep=''))
a<-table.element(a,paste('(',round(rk$p.value,4),')',sep=''))
a<-table.row.end(a)
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')