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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 computationThu, 03 Nov 2011 08:35:24 -0400
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/Nov/03/t1320323743g6g92pu7hkt8uml.htm/, Retrieved Sat, 20 Apr 2024 13:46:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=139252, Retrieved Sat, 20 Apr 2024 13:46:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Aston University Statistical Software] [Reddy_Moores Wilc...] [2009-11-02 09:28:43] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM    [Kolmogorov-Smirnov Test] [Mann-Whitney-Wilc...] [2010-11-02 12:37:15] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM      [Wilcoxon-Mann-Whitney Test] [Mann-Whitney-Wilc...] [2010-11-03 14:20:14] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RM        [Aston University Statistical Software] [Mann-Whitney-Wilc...] [2011-11-01 11:14:29] [72617798859a54657cdee39682e42a20]
- RMPD        [Boxplot and Trimmed Means] [W5] [2011-11-03 12:33:33] [2d7b037be60904f67867658ae7d07366]
- RMP             [Kendall tau Correlation Matrix] [Correlation] [2011-11-03 12:35:24] [5639b887e38dee7c91ec122c5ed827df] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
70.80	66.67
69.60	66.33
69.87	64.33
67.47	64.00
67.60	63.33
67.13	61.33
66.27	64.67
66.73	63.00
68.07	60.67
67.80	63.67
64.80	60.67
64.60	61.67
64.20	62.33
64.20	60.33
63.67	59.67
61.00	60.33
59.67	59.33
59.67	58.67
59.80	58.67
60.73	59.33
59.40	57.33
58.07	59.33
57.47	56.00
70.73	53.67
72.87	58.67
66.00	49.33
66.07	71.33
66.00	70.33
66.27	69.00
64.00	66.00
63.67	66.00
63.73	63.33
63.33	65.33
63.53	64.33
63.53	64.00
62.87	61.67
59.53	63.67
62.80	64.67
60.80	61.67
59.80	62.00
56.67	61.33
57.67	63.67
58.40	61.33
55.47	62.33
56.20	59.67
71.53	59.33
68.67	61.67
65.67	58.67
66.73	58.00
67.33	56.67
66.73	59.67
66.87	58.00
65.80	57.00
64.73	57.67
65.47	58.67
63.60	55.33
64.07	56.00
64.67	55.67
63.73	53.33
62.53	53.67
61.93	51.00
62.67	47.00
62.80	4.33
61.33	70.00
62.60	68.67
59.13	67.67
61.27	66.00
59.47	65.67
57.87	65.67
59.73	63.67
61.40	63.67
58.80	64.00
58.33	62.00
57.47	62.00
57.13	61.67
55.00	61.67
51.53	63.33
72.73	61.00
73.00	62.33
70.80	60.33
70.07	60.33
71.67	60.67
71.07	57.67
70.67	58.33
70.73	58.00
70.73	57.33
68.60	56.67
69.60	58.00
66.47	55.33
67.07	55.67
68.67	54.67
66.93	56.33
65.93	55.00
68.87	55.00
66.53	54.67
65.80	54.33
66.60	49.00
66.00	48.33
65.00	49.67
66.80	43.67
65.60	6.33
66.00	3.00
65.67	66.67
64.67	67.33
65.07	65.33
64.67	66.00
65.07	65.67
65.20	66.67
64.87	65.67
63.47	65.00
62.60	64.67
64.07	66.67
63.73	63.67
64.67	63.33
61.60	63.67
61.60	63.33
60.47	63.67
61.27	63.00
63.00	61.67
61.47	61.33
60.87	60.67
61.67	60.00
62.87	61.67
62.40	61.33
59.73	58.67
60.13	60.33
58.80	59.67
59.60	59.33
58.93	59.67
60.13	61.00
58.20	61.00
58.27	60.00
58.27	60.00
55.07	58.67
53.87	58.33
52.33	58.00
47.20	56.33
37.93	54.67
72.73	55.33
70.07	54.00
70.67	52.67
72.07	44.00
68.80	65.67
68.80	65.00
67.47	66.33
66.73	64.00
66.53	62.33
66.00	61.33
67.60	63.00
66.00	63.67
66.00	62.00
66.53	61.33
65.80	64.67
64.27	62.67
64.67	64.00
64.60	61.00
64.13	60.67
65.47	59.67
62.93	60.33
63.53	56.67
62.13	56.67
63.87	54.33
64.67	51.00
63.33	51.00
63.13	47.00
62.80	68.00
62.40	65.00
62.40	64.00
62.60	64.00
61.47	64.00
62.20	62.00
63.00	61.00
61.80	60.00
59.73	60.00
60.33	62.00
60.13	60.00
59.53	59.00
59.00	61.00
55.93	60.00
41.87	60.00
36.33	58.00
71.67	58.00
71.47	60.00
70.47	58.00
69.53	59.00
70.73	56.00
69.93	54.00
68.73	51.00
67.53	47.00

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=139252&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=139252&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=139252&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=pearson)
pmentnopment
pment1-0.076
nopment-0.0761

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & pment & nopment \tabularnewline
pment & 1 & -0.076 \tabularnewline
nopment & -0.076 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=139252&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]pment[/C][C]nopment[/C][/ROW]
[ROW][C]pment[/C][C]1[/C][C]-0.076[/C][/ROW]
[ROW][C]nopment[/C][C]-0.076[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=139252&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=139252&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)
pmentnopment
pment1-0.076
nopment-0.0761






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
pment;nopment-0.0757-0.1446-0.0736
p-value(0.3003)(0.0471)(0.1377)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
pment;nopment & -0.0757 & -0.1446 & -0.0736 \tabularnewline
p-value & (0.3003) & (0.0471) & (0.1377) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=139252&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]pment;nopment[/C][C]-0.0757[/C][C]-0.1446[/C][C]-0.0736[/C][/ROW]
[ROW][C]p-value[/C][C](0.3003)[/C][C](0.0471)[/C][C](0.1377)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=139252&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=139252&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
pment;nopment-0.0757-0.1446-0.0736
p-value(0.3003)(0.0471)(0.1377)


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')