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Author

*Unverified author*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Tue, 14 Dec 2010 19:49:28 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/14/t1292356050pite62es94ily9b.htm/, Retrieved Thu, 02 May 2024 15:43:31 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=110106, Retrieved Thu, 02 May 2024 15:43:31 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

116

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Kendall tau Correlation Matrix] [WS10 - Pearson Co...] [2010-12-11 11:29:07] [8ef49741e164ec6343c90c7935194465]
-    D    [Kendall tau Correlation Matrix] [cha] [2010-12-14 19:49:28] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

113	14.3	15.89
110	14.2	16.93
107	15.9	20.28
103	15.3	22.52
98	15.5	23.51
98	15.1	22.59
137	15	23.51
148	12.1	24.76
147	15.8	26.08
139	16.9	25.29
130	15.1	23.38
128	13.7	25.29
127	14.8	28.42
123	14.7	31.85
118	16	30.1
114	15.4	25.45
108	15	24.95
111	15.5	26.84
151	15.1	27.52
159	11.7	27.94
158	16.3	25.23
148	16.7	26.53
138	15	27.21
137	14.9	28.53
136	14.6	30.35
133	15.3	31.21
126	17.9	32.86
120	16.4	33.2
114	15.4	35.73
116	17.9	34.53
153	15.9	36.54
162	13.9	40.1
161	17.8	40.56
149	17.9	46.14
139	17.4	42.85
135	16.7	38.22
130	16	40.18
127	16.6	42.19
122	19.1	47.56
117	17.8	47.26
112	17.2	44.03
113	18.6	49.83
149	16.3	53.35
157	15.1	58.9
157	19.2	59.64
147	17.7	56.99
137	19.1	53.2
132	18	53.24
125	17.5	57.85
123	17.8	55.69
117	21.1	55.64
114	17.2	62.52
111	19.4	64.4
112	19.8	64.65
144	17.6	67.71
150	16.2	67.21
149	19.5	59.37
134	19.9	53.26
123	20	52.42
116	17.3	55.03

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110106&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]3 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=110106&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110106&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=pearson)
	werklozen_-25	buitenlandse_handel_van_belgie	ruwe_aardolie
werklozen_-25	1	-0.1	0.177
buitenlandse_handel_van_belgie	-0.1	1	0.704
ruwe_aardolie	0.177	0.704	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & werklozen_-25 & buitenlandse_handel_van_belgie & ruwe_aardolie \tabularnewline
werklozen_-25 & 1 & -0.1 & 0.177 \tabularnewline
buitenlandse_handel_van_belgie & -0.1 & 1 & 0.704 \tabularnewline
ruwe_aardolie & 0.177 & 0.704 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110106&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]werklozen_-25[/C][C]buitenlandse_handel_van_belgie[/C][C]ruwe_aardolie[/C][/ROW]
[ROW][C]werklozen_-25[/C][C]1[/C][C]-0.1[/C][C]0.177[/C][/ROW]
[ROW][C]buitenlandse_handel_van_belgie[/C][C]-0.1[/C][C]1[/C][C]0.704[/C][/ROW]
[ROW][C]ruwe_aardolie[/C][C]0.177[/C][C]0.704[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=110106&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110106&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=pearson)
	werklozen_-25	buitenlandse_handel_van_belgie	ruwe_aardolie
werklozen_-25	1	-0.1	0.177
buitenlandse_handel_van_belgie	-0.1	1	0.704
ruwe_aardolie	0.177	0.704	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
werklozen_-25;buitenlandse_handel_van_belgie	-0.1005	-0.0435	-0.0258
p-value	(0.4449)	(0.7413)	(0.7739)
werklozen_-25;ruwe_aardolie	0.1769	0.212	0.1264
p-value	(0.1764)	(0.1039)	(0.1566)
buitenlandse_handel_van_belgie;ruwe_aardolie	0.7042	0.7062	0.4986
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
werklozen_-25;buitenlandse_handel_van_belgie & -0.1005 & -0.0435 & -0.0258 \tabularnewline
p-value & (0.4449) & (0.7413) & (0.7739) \tabularnewline
werklozen_-25;ruwe_aardolie & 0.1769 & 0.212 & 0.1264 \tabularnewline
p-value & (0.1764) & (0.1039) & (0.1566) \tabularnewline
buitenlandse_handel_van_belgie;ruwe_aardolie & 0.7042 & 0.7062 & 0.4986 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=110106&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]werklozen_-25;buitenlandse_handel_van_belgie[/C][C]-0.1005[/C][C]-0.0435[/C][C]-0.0258[/C][/ROW]
[ROW][C]p-value[/C][C](0.4449)[/C][C](0.7413)[/C][C](0.7739)[/C][/ROW]
[ROW][C]werklozen_-25;ruwe_aardolie[/C][C]0.1769[/C][C]0.212[/C][C]0.1264[/C][/ROW]
[ROW][C]p-value[/C][C](0.1764)[/C][C](0.1039)[/C][C](0.1566)[/C][/ROW]
[ROW][C]buitenlandse_handel_van_belgie;ruwe_aardolie[/C][C]0.7042[/C][C]0.7062[/C][C]0.4986[/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=110106&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=110106&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
werklozen_-25;buitenlandse_handel_van_belgie	-0.1005	-0.0435	-0.0258
p-value	(0.4449)	(0.7413)	(0.7739)
werklozen_-25;ruwe_aardolie	0.1769	0.212	0.1264
p-value	(0.1764)	(0.1039)	(0.1566)
buitenlandse_handel_van_belgie;ruwe_aardolie	0.7042	0.7062	0.4986
p-value	(0)	(0)	(0)

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code