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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, 10 Dec 2012 13:19:33 -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/2012/Dec/10/t13551635910obd0j356gswxnc.htm/, Retrieved Thu, 25 Apr 2024 22:23:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=198271, Retrieved Thu, 25 Apr 2024 22:23:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84

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] [] [2012-12-10 18:19:33] [26ce3afa84a4087bb435ca409d5552c3] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12008,00	4,00
9169,00	5,90
8788,00	7,10
8417,00	10,50
8247,00	15,10
8197,00	16,80
8236,00	15,30
8253,00	18,40
7733,00	16,10
8366,00	11,30
8626,00	7,90
8863,00	5,60
10102,00	3,40
8463,00	4,80
9114,00	6,50
8563,00	8,50
8872,00	15,10
8301,00	15,70
8301,00	18,70
8278,00	19,20
7736,00	12,90
7973,00	14,40
8268,00	6,20
9476,00	3,30
11100,00	4,60
8962,00	7,10
9173,00	7,80
8738,00	9,90
8459,00	13,60
8078,00	17,10
8411,00	17,80
8291,00	18,60
7810,00	14,70
8616,00	10,50
8312,00	8,60
9692,00	4,40
9911,00	2,30
8915,00	2,80
9452,00	8,80
9112,00	10,70
8472,00	13,90
8230,00	19,30
8384,00	19,50
8625,00	20,40
8221,00	15,30
8649,00	7,90
8625,00	8,30
10443,00	4,50
10357,00	3,20
8586,00	5,00
8892,00	6,60
8329,00	11,10
8101,00	12,80
7922,00	16,30
8120,00	17,40
7838,00	18,90
7735,00	15,80
8406,00	11,70
8209,00	6,40
9451,00	2,90
10041,00	4,70
9411,00	2,40
10405,00	7,20
8467,00	10,70
8464,00	13,40
8102,00	18,30
7627,00	18,40
7513,00	16,80
7510,00	16,60
8291,00	14,10
8064,00	6,10
9383,00	3,50
9706,00	1,70
8579,00	2,30
9474,00	4,50
8318,00	9,30
8213,00	14,20
8059,00	17,30
9111,00	23,00
7708,00	16,30
7680,00	18,40
8014,00	14,20
8007,00	9,10
8718,00	5,90
9486,00	7,20
9113,00	6,80
9025,00	8,00
8476,00	14,30
7952,00	14,60
7759,00	17,50
7835,00	17,20
7600,00	17,20
7651,00	14,10
8319,00	10,40
8812,00	6,80
8630,00	4,10

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'George Udny Yule' @ yule.wessa.net
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 & 'George Udny Yule' @ yule.wessa.net \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=198271&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]'George Udny Yule' @ yule.wessa.net[/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=198271&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198271&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'George Udny Yule' @ yule.wessa.net
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)
SterftecijfersTemperatuur
Sterftecijfers1-0.671
Temperatuur -0.6711

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Sterftecijfers & Temperatuur
 \tabularnewline
Sterftecijfers & 1 & -0.671 \tabularnewline
Temperatuur
 & -0.671 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198271&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Sterftecijfers[/C][C]Temperatuur
[/C][/ROW]
[ROW][C]Sterftecijfers[/C][C]1[/C][C]-0.671[/C][/ROW]
[ROW][C]Temperatuur
[/C][C]-0.671[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=198271&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198271&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)
SterftecijfersTemperatuur
Sterftecijfers1-0.671
Temperatuur -0.6711






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Sterftecijfers;Temperatuur -0.6712-0.7231-0.5254
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
Sterftecijfers;Temperatuur
 & -0.6712 & -0.7231 & -0.5254 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=198271&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]Sterftecijfers;Temperatuur
[/C][C]-0.6712[/C][C]-0.7231[/C][C]-0.5254[/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=198271&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=198271&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
Sterftecijfers;Temperatuur -0.6712-0.7231-0.5254
p-value(0)(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')