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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software ModulePatrick.Wessarwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 13 Dec 2010 11:28:11 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/13/t1292240039qbu0wvaqbe3sv49.htm/, Retrieved Tue, 07 May 2024 03:52:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108861, Retrieved Tue, 07 May 2024 03:52:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

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] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
- R PD    [Kendall tau Correlation Matrix] [Kendall's Tau Cor...] [2010-12-13 11:28:11] [f38914513f1f4d866974b642cdd0baea] [Current]
-   PD      [Kendall tau Correlation Matrix] [Bonus Correlation...] [2010-12-13 17:13:14] [d59201e34006b7e3f71c33fa566f42b3]
- R           [Kendall tau Correlation Matrix] [Sciene Paper Corr...] [2010-12-14 11:31:53] [2099aacba481f75a7f949aa310cab952]
- R           [Kendall tau Correlation Matrix] [Sciene Paper Corr...] [2010-12-14 11:31:53] [2099aacba481f75a7f949aa310cab952]
- R           [Kendall tau Correlation Matrix] [Sciene Paper Corr...] [2010-12-14 11:31:53] [2099aacba481f75a7f949aa310cab952]
-   P           [Kendall tau Correlation Matrix] [Sciene Paper DMA ...] [2010-12-14 11:41:27] [2099aacba481f75a7f949aa310cab952]
- R P           [Kendall tau Correlation Matrix] [Sciene Paper Corr...] [2010-12-14 11:43:39] [2099aacba481f75a7f949aa310cab952]
-    D          [Kendall tau Correlation Matrix] [Sciene Paper Spea...] [2010-12-14 12:48:33] [2099aacba481f75a7f949aa310cab952]
-    D          [Kendall tau Correlation Matrix] [Spearman correlat...] [2010-12-14 12:48:33] [d59201e34006b7e3f71c33fa566f42b3]
- R  D          [Kendall tau Correlation Matrix] [Pearson Correlati...] [2010-12-14 12:51:58] [d59201e34006b7e3f71c33fa566f42b3]
- R  D          [Kendall tau Correlation Matrix] [Sciene Paper Pear...] [2010-12-14 12:53:30] [2099aacba481f75a7f949aa310cab952]
- R  D          [Kendall tau Correlation Matrix] [Sciene Paper Kend...] [2010-12-14 12:55:39] [2099aacba481f75a7f949aa310cab952]
- R  D          [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2010-12-14 12:55:39] [d59201e34006b7e3f71c33fa566f42b3]
- RM D          [Multiple Regression] [Multiple Regressi...] [2010-12-14 13:06:04] [d59201e34006b7e3f71c33fa566f42b3]
- RM D          [Multiple Regression] [Multiple Regressi...] [2010-12-14 13:06:04] [d59201e34006b7e3f71c33fa566f42b3]
- RM D          [Multiple Regression] [Multiple Regressi...] [2010-12-14 13:06:04] [d59201e34006b7e3f71c33fa566f42b3]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.504208603	0.397232704
0.457969746	0.382767296
0.509923035	0.396037736
0.606622221	0.441761006
0.626210885	0.445220126
0.626631316	0.438490566
0.676731276	0.467484277
0.613117455	0.465786164
0.486215861	0.402075472
0.452529881	0.376163522
0.467150592	0.37591195
0.494624486	0.392955975
0.444567428	0.34490566
0.478862605	0.368553459
0.544458459	0.390880503
0.628201498	0.424842767
0.672578445	0.426855346
0.652706633	0.442327044
0.645430599	0.474842767
0.576334011	0.447610063
0.618334234	0.480754717
0.639896351	0.516037736
0.72850438	0.580628931
0.694655375	0.573522013
0.689773225	0.578867925
0.712244845	0.593584906
0.760337031	0.645974843
0.837816503	0.690503145
0.90688735	0.782201258
0.976018259	0.839056604
0.962066806	0.847484277
0.837593417	0.726855346
0.767638807	0.635534591
0.580006349	0.470943396
0.387740568	0.346163522
0.331274078	0.272327044
0.345251272	0.286792453
0.380172806	0.27672956
0.399838692	0.297421384
0.425742404	0.321698113
0.524183377	0.365597484
0.597115327	0.435220126
0.541489699	0.412893082
0.615039426	0.458679245
0.547924872	0.428427673
0.574540743	0.463522013
0.603438956	0.487169811
0.577492342	0.473584906
0.614198564	0.491886792
0.584776957	0.474842767
0.62752366	0.502327044
0.676859979	0.539371069
0.645996894	0.484402516
0.596059959	0.474654088
0.585961029	0.473522013
0.607617528	0.48754717
0.598462423	0.493333333
0.638703699	0.525157233
0.64923164	0.542704403

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108861&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]2 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=108861&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108861&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Correlations for all pairs of data series (method=kendall)
LoodvrijeBenzineRuweOlie(NSB)
LoodvrijeBenzine10.757
RuweOlie(NSB)0.7571

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & LoodvrijeBenzine & RuweOlie(NSB) \tabularnewline
LoodvrijeBenzine & 1 & 0.757 \tabularnewline
RuweOlie(NSB) & 0.757 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108861&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]LoodvrijeBenzine[/C][C]RuweOlie(NSB)[/C][/ROW]
[ROW][C]LoodvrijeBenzine[/C][C]1[/C][C]0.757[/C][/ROW]
[ROW][C]RuweOlie(NSB)[/C][C]0.757[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108861&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108861&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)
LoodvrijeBenzineRuweOlie(NSB)
LoodvrijeBenzine10.757
RuweOlie(NSB)0.7571






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
LoodvrijeBenzine;RuweOlie(NSB)0.96160.89390.7565
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
LoodvrijeBenzine;RuweOlie(NSB) & 0.9616 & 0.8939 & 0.7565 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108861&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]LoodvrijeBenzine;RuweOlie(NSB)[/C][C]0.9616[/C][C]0.8939[/C][C]0.7565[/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=108861&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108861&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
LoodvrijeBenzine;RuweOlie(NSB)0.96160.89390.7565
p-value(0)(0)(0)


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')