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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 computationSun, 18 Dec 2011 06:08:25 -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/18/t1324206518bm90wy728j85whh.htm/, Retrieved Sun, 05 May 2024 14:44:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=156710, Retrieved Sun, 05 May 2024 14:44:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact310

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] [] [2011-12-18 11:08:25] [a23917169fba894c1fbb2182d294ed58] [Current]
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Dataset

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

Tables (Output of Computation)





\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 & 0 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
R Engine error message & 
Error in cor.test.default(x, y, method = par1) : 
  not enough finite observations
Calls: pairs ... localUpperPanel -> upper.panel -> cor.test -> cor.test.default
Execution halted

 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=156710&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]0 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]
Error in cor.test.default(x, y, method = par1) : 
  not enough finite observations
Calls: pairs ... localUpperPanel -> upper.panel -> cor.test -> cor.test.default
Execution halted

[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=156710&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=156710&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 time0 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net
R Engine error message
Error in cor.test.default(x, y, method = par1) : 
  not enough finite observations
Calls: pairs ... localUpperPanel -> upper.panel -> cor.test -> cor.test.default
Execution halted


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = pearson ; par2 = equal ; par3 = 2 ; par4 = no ;
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')