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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 computationTue, 13 Dec 2011 13:54:40 -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/2011/Dec/13/t13238024980oybzuo7gfyfap3.htm/, Retrieved Fri, 03 May 2024 00:16:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154635, Retrieved Fri, 03 May 2024 00:16:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

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] [WS10 PCM] [2011-12-13 18:50:04] [43a0606d8103c0ba382f0586f4417c48]
- R P     [Kendall tau Correlation Matrix] [WS10 KCM] [2011-12-13 18:54:40] [635499bc27d9f41bf7bccae25a54e146] [Current]
-   PD      [Kendall tau Correlation Matrix] [WS10 PCM] [2011-12-13 19:11:43] [43a0606d8103c0ba382f0586f4417c48]
-             [Kendall tau Correlation Matrix] [WS10 KCM] [2011-12-13 19:12:31] [43a0606d8103c0ba382f0586f4417c48]
-   PD          [Kendall tau Correlation Matrix] [Paper Kendall] [2011-12-23 19:01:13] [43a0606d8103c0ba382f0586f4417c48]
- RMP             [Multiple Regression] [Paper MR] [2011-12-23 19:29:04] [43a0606d8103c0ba382f0586f4417c48]
- R P               [Multiple Regression] [Paper MR] [2011-12-23 19:41:05] [43a0606d8103c0ba382f0586f4417c48]
- RMP                 [Recursive Partitioning (Regression Trees)] [Paper RT] [2011-12-23 19:56:37] [43a0606d8103c0ba382f0586f4417c48]
-                 [Kendall tau Correlation Matrix] [] [2011-12-23 19:31:24] [43a0606d8103c0ba382f0586f4417c48]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.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=154635&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]'AstonUniversity' @ aston.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=154635&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154635&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'AstonUniversity' @ aston.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=kendall)
timegenderage
time1-0.0260.27
gender-0.0261-0.149
age 0.27-0.1491

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & time & gender & age
 \tabularnewline
time & 1 & -0.026 & 0.27 \tabularnewline
gender & -0.026 & 1 & -0.149 \tabularnewline
age
 & 0.27 & -0.149 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154635&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]time[/C][C]gender[/C][C]age
[/C][/ROW]
[ROW][C]time[/C][C]1[/C][C]-0.026[/C][C]0.27[/C][/ROW]
[ROW][C]gender[/C][C]-0.026[/C][C]1[/C][C]-0.149[/C][/ROW]
[ROW][C]age
[/C][C]0.27[/C][C]-0.149[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154635&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154635&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:

Correlations for all pairs of data series (method=kendall)
timegenderage
time1-0.0260.27
gender-0.0261-0.149
age 0.27-0.1491






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
time;gender-0.0426-0.032-0.0262
p-value(0.5793)(0.6765)(0.6752)
time;age 0.33710.37390.2696
p-value(0)(0)(0)
gender;age -0.1761-0.1674-0.1489
p-value(0.0209)(0.0282)(0.0286)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
time;gender & -0.0426 & -0.032 & -0.0262 \tabularnewline
p-value & (0.5793) & (0.6765) & (0.6752) \tabularnewline
time;age
 & 0.3371 & 0.3739 & 0.2696 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
gender;age
 & -0.1761 & -0.1674 & -0.1489 \tabularnewline
p-value & (0.0209) & (0.0282) & (0.0286) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154635&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]time;gender[/C][C]-0.0426[/C][C]-0.032[/C][C]-0.0262[/C][/ROW]
[ROW][C]p-value[/C][C](0.5793)[/C][C](0.6765)[/C][C](0.6752)[/C][/ROW]
[ROW][C]time;age
[/C][C]0.3371[/C][C]0.3739[/C][C]0.2696[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]gender;age
[/C][C]-0.1761[/C][C]-0.1674[/C][C]-0.1489[/C][/ROW]
[ROW][C]p-value[/C][C](0.0209)[/C][C](0.0282)[/C][C](0.0286)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154635&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154635&T=2

As an alternative you can also use a QR Code:  
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
time;gender-0.0426-0.032-0.0262
p-value(0.5793)(0.6765)(0.6752)
time;age 0.33710.37390.2696
p-value(0)(0)(0)
gender;age -0.1761-0.1674-0.1489
p-value(0.0209)(0.0282)(0.0286)


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = kendall ;
Parameters (R input):
par1 = kendall ;
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')