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Author's title

Author*Unverified author*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationMon, 19 Dec 2011 13:39:20 -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/19/t13243199752gcgz5fyi701hl2.htm/, Retrieved Wed, 08 May 2024 10:39:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=157603, Retrieved Wed, 08 May 2024 10:39:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact171
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]
-   PD  [Kendall tau Correlation Matrix] [WS10 PCM DMA] [2010-12-09 16:41:09] [2099aacba481f75a7f949aa310cab952]
- R  D    [Kendall tau Correlation Matrix] [Workshop 10, Pear...] [2010-12-10 12:51:04] [3635fb7041b1998c5a1332cf9de22bce]
- R  D      [Kendall tau Correlation Matrix] [Paper Pearson Cor...] [2010-12-18 17:31:07] [8081b8996d5947580de3eb171e82db4f]
-   PD        [Kendall tau Correlation Matrix] [Paper Kendall Cor...] [2010-12-18 17:54:50] [8081b8996d5947580de3eb171e82db4f]
- RM D            [Kendall tau Correlation Matrix] [] [2011-12-19 18:39:20] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
631.923	9.911	58608
654.294	8.915	46865
671.833	9.452	51378
586.840	9.112	46235
600.969	8.472	47206
625.568	8.230	45382
558.110	8.384	41227
630.577	8.625	33795
628.654	8.221	31295
603.184	8.649	42625
656.255	8.625	33625
600.730	10.443	21538
670.326	10.357	56421
678.423	8.586	53152
641.502	8.892	53536
625.311	8.329	52408
628.177	8.101	41454
589.767	7.922	38271
582.471	8.120	35306
636.248	7.838	26414
599.885	7.735	31917
621.694	8.406	38030
637.406	8.209	27534
595.994	9.451	18387
696.308	10.041	50556
674.201	9.411	43901
648.861	10.405	48572
649.605	8.467	43899
672.392	8.464	37532
598.396	8.102	40357
613.177	7.627	35489
638.104	7.513	29027
615.632	7.510	34485
634.465	8.291	42598
638.686	8.064	30306
604.243	9.383	26451
706.669	9.706	47460
677.185	8.579	50104
644.328	9.474	61465
664.825	8.318	53726
605.707	8.213	39477
600.136	8.059	43895
612.166	9.111	31481
599.659	7.708	29896
634.210	7.680	33842
618.234	8.014	39120
613.576	8.007	33702
627.200	8.718	25094
668.973	9.486	51442
651.479	9.113	45594
619.661	9.025	52518
644.260	8.476	48564
579.936	7.952	41745
601.752	7.759	49585
595.376	7.835	32747
588.902	7.600	33379
634.341	7.651	35645
594.305	8.319	37034
606.200	8.812	35681
610.926	8.630	20972
633.685	NA	NA
639.696	NA	NA
659.451	NA	NA
593.248	NA	NA
606.677	NA	NA
599.434	NA	NA
569.578	NA	NA
629.873	NA	NA
613.438	NA	NA
604.172	NA	NA
658.328	NA	NA
612.633	NA	NA
707.372	NA	NA
739.770	NA	NA
777.535	NA	NA
685.030	NA	NA
730.234	NA	NA
714.154	NA	NA
630.872	NA	NA
719.492	NA	NA
677.023	NA	NA
679.272	NA	NA
718.317	NA	NA
645.672	NA	NA




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Engine error message
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
Execution halted

\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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
R Engine error message & 
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
Execution halted
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=157603&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[ROW][C]R Engine error message[/C][C]
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
Execution halted
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=157603&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=157603&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net
R Engine error message
Error in dimnames(data) <- dimnames : 
  length of 'dimnames' [1] not equal to array extent
Calls: array
Execution halted



Parameters (Session):
par1 = kendall ;
Parameters (R input):
par1 = kendall ;
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')