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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 computationSat, 18 Dec 2010 15:39:03 +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/18/t1292686595ed3vfyamw1d7su9.htm/, Retrieved Tue, 30 Apr 2024 07:29:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112053, Retrieved Tue, 30 Apr 2024 07:29:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2010-12-18 12:49:04] [f72e5115d7374b3b3f29ba3966e5379d]
- RMPD    [Kendall tau Correlation Matrix] [] [2010-12-18 15:39:03] [303f3b5c313268114bcf87589378f503] [Current]
-   PD      [Kendall tau Correlation Matrix] [] [2010-12-19 16:23:31] [f72e5115d7374b3b3f29ba3966e5379d]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11	26
7	23
17	25
10	23
12	19
12	29
11	25
11	21
12	22
13	25
14	24
16	18
11	22
10	15
11	22
15	28
9	20
11	12
17	24
17	20
11	21
18	20
14	21
10	23
11	28
15	24
15	24
13	24
16	23
13	23
9	29
18	24
18	18
12	25
17	21
9	26
9	22
12	22
18	22
12	23
18	30
14	23
15	17
16	23
10	23
11	25
14	24
9	24
12	23
17	21
5	24
12	24
12	28
6	16
24	20
12	29
12	27
11	22
7	28
13	16
12	25
13	24
12	29
8	24
11	23
9	30
11	24
13	21
10	25
11	25
12	22
9	23
15	26
18	23
15	25
12	21
13	25
14	24
10	29
13	22
13	27
11	26
13	22
16	24
8	27
16	24
11	25
9	29
16	22
12	21
14	24
8	24
9	23
15	20
11	27
21	26
14	25
18	21
12	21
13	19
15	21
12	21
16	18
15	22
11	29
11	15
10	17
13	15
15	21
12	21
12	19
16	24
9	20
18	17
8	23
13	24
17	14
10	23
15	24
8	13
7	22
12	16
14	19
6	25
8	25
17	23
10	24
11	26
14	26
11	25
13	18
12	21
11	26
9	23
12	23
20	22
12	20
13	13
12	24
12	15
9	14
15	22
24	10
7	24
17	22
11	24
17	19
11	20
12	13
14	20
11	22
16	24
21	29
14	12
20	20
9	20
11	24
15	22
16	18

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
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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \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=112053&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]
[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=112053&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112053&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
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)
ParentalExpectationsOrganization
ParentalExpectations1-0.153
Organization -0.1531

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & ParentalExpectations & Organization
 \tabularnewline
ParentalExpectations & 1 & -0.153 \tabularnewline
Organization
 & -0.153 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112053&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]ParentalExpectations[/C][C]Organization
[/C][/ROW]
[ROW][C]ParentalExpectations[/C][C]1[/C][C]-0.153[/C][/ROW]
[ROW][C]Organization
[/C][C]-0.153[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112053&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112053&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)
ParentalExpectationsOrganization
ParentalExpectations1-0.153
Organization -0.1531






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
ParentalExpectations;Organization -0.1531-0.1832-0.136
p-value(0.054)(0.0208)(0.0187)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
ParentalExpectations;Organization
 & -0.1531 & -0.1832 & -0.136 \tabularnewline
p-value & (0.054) & (0.0208) & (0.0187) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112053&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]ParentalExpectations;Organization
[/C][C]-0.1531[/C][C]-0.1832[/C][C]-0.136[/C][/ROW]
[ROW][C]p-value[/C][C](0.054)[/C][C](0.0208)[/C][C](0.0187)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112053&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112053&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
ParentalExpectations;Organization -0.1531-0.1832-0.136
p-value(0.054)(0.0208)(0.0187)


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')