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 computationMon, 19 Dec 2011 13:49:26 -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/19/t1324320585dc10mwhnjqh21eq.htm/, Retrieved Wed, 15 May 2024 19:15:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157615, Retrieved Wed, 15 May 2024 19:15:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

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 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [] [2011-12-19 18:49:26] [a23917169fba894c1fbb2182d294ed58] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26	21	21
20	16	15
19	19	18
20	16	8
25	23	19
22	12	20
26	19	16
22	16	14
19	13	14
24	20	8
26	27	23
13	8	9
22	13	15
21	15	19
7	5	6
17	14	11
25	24	17
25	24	17
19	9	5
23	19	15
22	19	17
21	18	20
18	12	7
22	25	15
18	19	15
23	20	10
20	24	14
15	12	9
21	17	18
18	16	17
19	11	14
22	20	16
16	11	10
18	20	10
20	19	14
24	17	10
24	18	9
18	17	12
21	27	16
17	19	18
22	19	18
16	11	9
21	22	19
24	20	23
24	24	22
16	16	14
16	16	14
18	11	12
20	20	12
24	20	16
17	12	11
19	8	14
20	21	13
15	18	9
22	16	13
23	18	19
16	20	13
19	20	13
19	17	14
21	15	11
24	17	18
22	23	19
18	19	15
24	17	19
24	12	15
22	24	17
23	18	8
22	20	10
20	16	12
18	20	12
25	22	20
16	16	12
20	17	14
15	12	10
19	14	18
19	23	18
16	15	7
17	17	18
28	28	9
25	23	22
20	13	11
16	19	15
23	13	14
21	22	14
23	20	20
18	10	8
20	17	17
9	18	9
25	23	22
20	17	10
21	19	12
22	18	12
27	22	20
18	16	18
16	16	16
22	16	13
20	16	17
20	18	17

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'Herman Ole Andreas Wold' @ wold.wessa.net

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157615&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157615&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157615&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'Herman Ole Andreas Wold' @ wold.wessa.net






Correlations for all pairs of data series (method=kendall)
I1MI2MI3M
I1M10.4010.358
I2M0.40110.324
I3M0.3580.3241

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & I1M & I2M & I3M \tabularnewline
I1M & 1 & 0.401 & 0.358 \tabularnewline
I2M & 0.401 & 1 & 0.324 \tabularnewline
I3M & 0.358 & 0.324 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157615&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]I1M[/C][C]I2M[/C][C]I3M[/C][/ROW]
[ROW][C]I1M[/C][C]1[/C][C]0.401[/C][C]0.358[/C][/ROW]
[ROW][C]I2M[/C][C]0.401[/C][C]1[/C][C]0.324[/C][/ROW]
[ROW][C]I3M[/C][C]0.358[/C][C]0.324[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157615&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157615&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)
I1MI2MI3M
I1M10.4010.358
I2M0.40110.324
I3M0.3580.3241






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
I1M;I2M0.56610.53450.4009
p-value(0)(0)(0)
I1M;I3M0.49350.46720.3581
p-value(0)(0)(0)
I2M;I3M0.47780.43730.324
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
I1M;I2M & 0.5661 & 0.5345 & 0.4009 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I1M;I3M & 0.4935 & 0.4672 & 0.3581 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I2M;I3M & 0.4778 & 0.4373 & 0.324 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157615&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]I1M;I2M[/C][C]0.5661[/C][C]0.5345[/C][C]0.4009[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I1M;I3M[/C][C]0.4935[/C][C]0.4672[/C][C]0.3581[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I2M;I3M[/C][C]0.4778[/C][C]0.4373[/C][C]0.324[/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=157615&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157615&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
I1M;I2M0.56610.53450.4009
p-value(0)(0)(0)
I1M;I3M0.49350.46720.3581
p-value(0)(0)(0)
I2M;I3M0.47780.43730.324
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')