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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, 26 Dec 2010 10:57:53 +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/26/t129336096748fc4j0a99f9g8n.htm/, Retrieved Mon, 06 May 2024 21:34:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115510, Retrieved Mon, 06 May 2024 21:34:40 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact152

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] [Correlatie wissel...] [2010-12-26 10:57:53] [c9d5faca36bd2ada281161976df30bf1] [Current]
- RMPD    [Pearson Correlation] [Correlatie wissel...] [2010-12-26 11:24:25] [8ed0bd3560b9ca2814a2ed0a29182575]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,8973	7,4271
0,9383	7,7662
0,9217	7,6289
0,9095	7,5281
0,892 	7,3831
0,8742	7,2355
0,8532	7,0617
0,8607	7,1237
0,9005	7,4533
0,9111	7,5411
0,9059	7,4978
0,8883	7,3525
0,8924	7,3862
0,8833	7,311
0,87  	7,2013
0,8758	7,249
0,8858	7,3321
0,917 	7,59
0,9554	7,9082
0,9922	8,2123
0,9778	8,0929
0,9808	8,118
0,9811	8,1206
1,0014	8,2883
1,0183	8,4281
1,0622	8,7917
1,0773	8,9168
1,0807	8,9446
1,0848	8,9786
1,1582	9,5862
1,1663	9,6533
1,1372	9,4125
1,1139	9,2195
1,1222	9,2882
1,1692	9,6774
1,1702	9,6857
1,2286	10,1688
1,2613	10,4399
1,2646	10,4675
1,2262	10,149
1,1985	9,9163
1,2007	9,9268
1,2138	10,0529
1,2266	10,1622
1,2176	10,083
1,2218	10,1134
1,249 	10,3423
1,2991	10,7536
1,3408	11,0967
1,3119	10,8588
1,3014	10,7719
1,3201	10,9262
1,2938	10,708
1,2694	10,5062
1,2165	10,0683
1,2037	9,8954
1,2292	9,9589
1,2256	9,9177
1,2015	9,7189
1,1786	9,5273
1,1856	9,5746
1,2103	9,763
1,1938	9,6117
1,202 	9,6581
1,2271	9,8361
1,277 	10,2353
1,265 	10,1285
1,2684	10,1347
1,2811	10,2141
1,2727	10,0971
1,2611	9,9651
1,2881	10,1286
1,3213	10,3356
1,2999	10,1238
1,3074	10,1326
1,3242	10,2467
1,3516	10,44
1,3511	10,3689
1,3419	10,2415
1,3716	10,3899
1,3622	10,3162
1,3896	10,4533
1,4227	10,6741
1,4684	10,8957
1,457 	10,7404
1,4718	10,6568
1,4748	10,5682
1,5527	10,9833
1,575 	11,0237
1,5557	10,8462
1,5553	10,7287
1,577 	10,7809
1,4975	10,2609
1,4369	9,8252
1,3322	9,1071
1,2732	8,695
1,3449	9,2205
1,3239	9,0496
1,2785	8,7406
1,305 	8,921
1,319 	9,011
1,365 	9,3157
1,4016	9,5786
1,4088	9,6246
1,4268	9,7485
1,4562	9,9431
1,4816	10,1152
1,4914	10,1827
1,4614	9,9777
1,4272	9,7436
1,3686	9,3462
1,3569	9,2623
1,3406	9,1505
1,2565	8,5794
1,2208	8,3245
1,277 	8,6538
1,2894	8,752
1,3067	8,8104
1,3898	9,2665
1,3661	9,0895

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'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115510&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115510&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115510&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'RServer@AstonUniversity' @ vre.aston.ac.uk






Correlations for all pairs of data series (method=pearson)
DollarYuan
Dollar10.846
Yuan0.8461

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Dollar & Yuan \tabularnewline
Dollar & 1 & 0.846 \tabularnewline
Yuan & 0.846 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115510&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Dollar[/C][C]Yuan[/C][/ROW]
[ROW][C]Dollar[/C][C]1[/C][C]0.846[/C][/ROW]
[ROW][C]Yuan[/C][C]0.846[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115510&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115510&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)
DollarYuan
Dollar10.846
Yuan0.8461






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Dollar;Yuan0.84560.72230.6055
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
Dollar;Yuan & 0.8456 & 0.7223 & 0.6055 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115510&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]Dollar;Yuan[/C][C]0.8456[/C][C]0.7223[/C][C]0.6055[/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=115510&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115510&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
Dollar;Yuan0.84560.72230.6055
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')