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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 computationMon, 19 Dec 2011 14:03:06 -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/t1324321418rzavie0eu2vd0df.htm/, Retrieved Wed, 15 May 2024 20:06:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157622, Retrieved Wed, 15 May 2024 20:06:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115

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]
- RMPD    [Kendall tau Correlation Matrix] [] [2011-12-19 19:03:06] [a23917169fba894c1fbb2182d294ed58] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
19	18	11
25	17	4
17	19	10
22	20	13
21	17	11
26	25	24
20	26	5
14	19	5
23	16	13
20	19	9
22	25	17
15	15	12
20	12	7
22	21	16
20	15	14
28	28	24
25	26	18
26	25	12
17	12	9
23	15	8
13	14	10
24	22	19
14	21	4
22	23	19
23	25	11
22	22	11
24	24	24
21	20	17
23	22	18
22	16	12
21	22	16
26	24	23
15	16	7
25	27	10
17	20	17
25	27	21
27	24	19
25	19	13
19	16	12
26	26	22
20	22	5
20	21	14
18	14	12
18	12	12
19	22	6
23	20	17
17	18	15
23	23	17
23	23	22
11	12	9
18	16	13
24	23	20
16	18	12
24	23	20
24	15	18
21	17	13
25	22	15
22	20	18
21	20	18
24	20	12
24	22	16
21	18	16
18	17	13

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

\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
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157622&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]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157622&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157622&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






Correlations for all pairs of data series (method=pearson)
I1FI2FI3F
I1F10.6370.586
I2F0.63710.483
I3F0.5860.4831

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & I1F & I2F & I3F \tabularnewline
I1F & 1 & 0.637 & 0.586 \tabularnewline
I2F & 0.637 & 1 & 0.483 \tabularnewline
I3F & 0.586 & 0.483 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157622&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]I1F[/C][C]I2F[/C][C]I3F[/C][/ROW]
[ROW][C]I1F[/C][C]1[/C][C]0.637[/C][C]0.586[/C][/ROW]
[ROW][C]I2F[/C][C]0.637[/C][C]1[/C][C]0.483[/C][/ROW]
[ROW][C]I3F[/C][C]0.586[/C][C]0.483[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157622&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157622&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=pearson)
I1FI2FI3F
I1F10.6370.586
I2F0.63710.483
I3F0.5860.4831






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
I1F;I2F0.63650.64570.4952
p-value(0)(0)(0)
I1F;I3F0.5860.58740.4561
p-value(0)(0)(0)
I2F;I3F0.48350.4990.399
p-value(1e-04)(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
I1F;I2F & 0.6365 & 0.6457 & 0.4952 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I1F;I3F & 0.586 & 0.5874 & 0.4561 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I2F;I3F & 0.4835 & 0.499 & 0.399 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=157622&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]I1F;I2F[/C][C]0.6365[/C][C]0.6457[/C][C]0.4952[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I1F;I3F[/C][C]0.586[/C][C]0.5874[/C][C]0.4561[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I2F;I3F[/C][C]0.4835[/C][C]0.499[/C][C]0.399[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=157622&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157622&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
I1F;I2F0.63650.64570.4952
p-value(0)(0)(0)
I1F;I3F0.5860.58740.4561
p-value(0)(0)(0)
I2F;I3F0.48350.4990.399
p-value(1e-04)(0)(0)


Figures (Output of Computation)

Input Parameters & R Code

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')