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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 computationThu, 24 Nov 2011 11:08:17 -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/Nov/24/t132215093326ueim115mfk4rh.htm/, Retrieved Tue, 16 Apr 2024 14:17:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147027, Retrieved Tue, 16 Apr 2024 14:17:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Multiple regression] [2011-11-24 14:57:58] [6bdab4f5b22620afa7d9dc512ad4e377]
- R  D  [Multiple Regression] [Multiple regression] [2011-11-24 15:12:52] [6bdab4f5b22620afa7d9dc512ad4e377]
- RMP       [Kendall tau Correlation Matrix] [Effects] [2011-11-24 16:08:17] [5363b79245edacd2d961915f77b3b63a] [Current]
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Dataseries X:
68	13	13	20
17	26	27	28
1	0	0	0
114	37	37	40
95	47	39	60
148	80	99	60
56	21	21	44
26	36	33	52
63	35	36	60
96	40	44	52
74	35	33	24
65	46	47	64
40	20	19	26
173	24	41	48
28	19	22	36
55	15	17	40
58	48	46	64
25	0	0	20
103	38	31	79
29	12	20	16
31	10	10	52
43	51	55	52
74	4	6	44
99	24	17	29
25	39	33	40
69	19	33	28
62	23	32	49
25	39	37	60
38	37	44	52
57	20	22	28
52	20	15	56
91	41	18	35
48	26	25	12
52	0	7	32
35	31	35	48
0	0	0	0
31	8	14	48
107	35	31	31
242	3	9	64
41	47	59	72
57	42	62	36
32	11	12	56
17	10	23	28
36	26	31	52
29	27	57	44
22	0	23	44
21	15	14	55
41	32	31	36
64	13	17	48
71	24	24	44
28	10	11	66
36	14	16	40
45	24	32	44
22	29	36	48
27	40	37	68
38	22	25	24
26	27	30	32
41	8	10	44
21	27	16	52
28	0	3	56
36	0	0	68
58	17	17	32
65	7	9	34
29	18	22	36
21	7	5	34
19	24	23	56
55	18	16	64
119	39	53	52
34	17	23	48
25	0	0	40
113	39	51	36
46	20	25	10
28	29	51	48
63	27	46	25
52	23	16	68
35	0	0	36
32	31	25	32
45	19	34	36
42	12	14	43
28	23	32	17
32	33	24	52
32	21	16	56
27	17	19	40
69	27	27	48
30	14	24	40
48	12	12	48
57	21	43	68
36	14	13	44
20	14	19	40
54	22	24	40
26	25	27	28
58	36	26	40
35	10	14	44
28	16	26	20
8	12	15	22
96	20	30	56
50	38	33	52
15	13	14	2
65	12	11	52
33	11	12	30
7	8	8	3
17	22	22	20
55	14	12	48
32	7	6	32
22	14	10	36
41	2	1	45
50	35	31	40
7	5	5	8
0	0	0	0
26	34	35	32
22	12	15	28
26	34	36	44
37	30	27	56
29	21	36	13
0	0	0	0
0	0	0	0
42	28	29	52
51	16	19	51
77	12	16	52
32	14	15	48
63	7	1	3
50	41	36	48
18	21	22	24
37	28	16	37
23	1	1	32
19	10	10	8
39	31	31	44
38	7	22	48
55	26	22	56
22	1	0	8
7	0	0	0
21	12	10	25
5	0	0	4
21	17	9	12
1	5	0	0
22	4	0	6
0	0	0	0
31	6	7	48
25	0	2	52
0	0	0	0
4	0	0	0
20	15	16	12
29	0	25	28
33	12	6	40




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'AstonUniversity' @ aston.wessa.net

\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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147027&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147027&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147027&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 time1 seconds
R Server'AstonUniversity' @ aston.wessa.net







Correlations for all pairs of data series (method=pearson)
CompendiumViewsBloggedComputationsHyperlinkssubmittedfeedback
CompendiumViews10.4110.4220.437
BloggedComputations0.41110.8830.466
Hyperlinks0.4220.88310.441
submittedfeedback0.4370.4660.4411

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & CompendiumViews & BloggedComputations & Hyperlinks & submittedfeedback \tabularnewline
CompendiumViews & 1 & 0.411 & 0.422 & 0.437 \tabularnewline
BloggedComputations & 0.411 & 1 & 0.883 & 0.466 \tabularnewline
Hyperlinks & 0.422 & 0.883 & 1 & 0.441 \tabularnewline
submittedfeedback & 0.437 & 0.466 & 0.441 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147027&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]CompendiumViews[/C][C]BloggedComputations[/C][C]Hyperlinks[/C][C]submittedfeedback[/C][/ROW]
[ROW][C]CompendiumViews[/C][C]1[/C][C]0.411[/C][C]0.422[/C][C]0.437[/C][/ROW]
[ROW][C]BloggedComputations[/C][C]0.411[/C][C]1[/C][C]0.883[/C][C]0.466[/C][/ROW]
[ROW][C]Hyperlinks[/C][C]0.422[/C][C]0.883[/C][C]1[/C][C]0.441[/C][/ROW]
[ROW][C]submittedfeedback[/C][C]0.437[/C][C]0.466[/C][C]0.441[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147027&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147027&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)
CompendiumViewsBloggedComputationsHyperlinkssubmittedfeedback
CompendiumViews10.4110.4220.437
BloggedComputations0.41110.8830.466
Hyperlinks0.4220.88310.441
submittedfeedback0.4370.4660.4411







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
CompendiumViews;BloggedComputations0.41120.46520.3307
p-value(0)(0)(0)
CompendiumViews;Hyperlinks0.42240.45290.322
p-value(0)(0)(0)
CompendiumViews;submittedfeedback0.43750.47010.3463
p-value(0)(0)(0)
BloggedComputations;Hyperlinks0.88290.88630.746
p-value(0)(0)(0)
BloggedComputations;submittedfeedback0.46620.41950.3067
p-value(0)(0)(0)
Hyperlinks;submittedfeedback0.44150.3970.2871
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
CompendiumViews;BloggedComputations & 0.4112 & 0.4652 & 0.3307 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CompendiumViews;Hyperlinks & 0.4224 & 0.4529 & 0.322 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CompendiumViews;submittedfeedback & 0.4375 & 0.4701 & 0.3463 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BloggedComputations;Hyperlinks & 0.8829 & 0.8863 & 0.746 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
BloggedComputations;submittedfeedback & 0.4662 & 0.4195 & 0.3067 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Hyperlinks;submittedfeedback & 0.4415 & 0.397 & 0.2871 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147027&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]CompendiumViews;BloggedComputations[/C][C]0.4112[/C][C]0.4652[/C][C]0.3307[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CompendiumViews;Hyperlinks[/C][C]0.4224[/C][C]0.4529[/C][C]0.322[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CompendiumViews;submittedfeedback[/C][C]0.4375[/C][C]0.4701[/C][C]0.3463[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BloggedComputations;Hyperlinks[/C][C]0.8829[/C][C]0.8863[/C][C]0.746[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]BloggedComputations;submittedfeedback[/C][C]0.4662[/C][C]0.4195[/C][C]0.3067[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Hyperlinks;submittedfeedback[/C][C]0.4415[/C][C]0.397[/C][C]0.2871[/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=147027&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147027&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
pairPearson rSpearman rhoKendall tau
CompendiumViews;BloggedComputations0.41120.46520.3307
p-value(0)(0)(0)
CompendiumViews;Hyperlinks0.42240.45290.322
p-value(0)(0)(0)
CompendiumViews;submittedfeedback0.43750.47010.3463
p-value(0)(0)(0)
BloggedComputations;Hyperlinks0.88290.88630.746
p-value(0)(0)(0)
BloggedComputations;submittedfeedback0.46620.41950.3067
p-value(0)(0)(0)
Hyperlinks;submittedfeedback0.44150.3970.2871
p-value(0)(0)(0)



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')