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Author

*The author of this computation has been verified*

R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Fri, 09 Dec 2011 05:17:28 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/09/t1323425875sfvz6yr00pggltp.htm/, Retrieved Thu, 02 May 2024 17:01:58 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=153227, Retrieved Thu, 02 May 2024 17:01:58 +0000

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No (this computation is public)

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Estimated Impact

132

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] [Pearson Correlation] [2011-12-09 10:17:28] [90397ad74249faf9640e6aa26282b307] [Current]
-           [Kendall tau Correlation Matrix] [WS10.1] [2011-12-12 19:52:16] [74be16979710d4c4e7c6647856088456] 

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Dataseries X:

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Histogram

Boxplots

1	1	3	3	1
1	1	NA	NA	NA
0	1	2	4	2
NA	1	NA	NA	NA
NA	1	NA	NA	NA
NA	1	NA	NA	NA
1	1	3	4	1
NA	1	NA	NA	NA
NA	0	NA	NA	NA
1	1	4	5	1
0	1	3	5	2
0	1	2	5	1
NA	1	NA	NA	NA
0	1	2	5	1
NA	1	NA	NA	NA
NA	1	NA	NA	NA
0	1	2	4	1
1	1	5	4	4
0	1	2	3	1
1	1	NA	NA	NA
NA	1	NA	NA	NA
1	1	1	3	1
0	1	1	5	1
1	1	NA	NA	NA
NA	1	NA	NA	NA
0	1	2	4	1
0	1	2	4	1
1	1	2	3	4
0	1	2	4	1
0	1	2	5	1
NA	1	NA	NA	NA
1	1	2	3	3
1	1	2	5	1
NA	1	NA	NA	NA
NA	1	NA	NA	NA
1	1	2	5	1
NA	0	NA	NA	NA
NA	1	NA	NA	NA
0	1	4	0	1
0	0	2	5	1
NA	1	NA	NA	NA
1	1	2	5	4
1	0	4	4	3
0	1	2	4	0
NA	1	NA	NA	NA
1	1	2	3	1
0	0	3	3	1
1	1	3	5	1
0	1	1	3	1
NA	1	NA	NA	NA
0	1	1	5	3
NA	1	NA	NA	NA
1	1	3	4	3
NA	1	NA	NA	NA
NA	1	NA	NA	NA
0	1	NA	NA	NA
0	1	NA	NA	NA
0	1	2	4	3
NA	1	NA	NA	NA
NA	1	NA	NA	NA
0	1	4	5	3
0	1	3	4	1
0	0	3	3	2
1	0	2	5	1
NA	1	NA	NA	NA
0	1	2	4	2
NA	1	NA	NA	NA
NA	1	NA	NA	NA
1	1	NA	NA	NA
NA	1	NA	NA	NA
NA	1	NA	NA	NA
0	1	2	0	1
0	1	NA	NA	NA
1	1	3	4	1
0	1	NA	NA	NA
1	1	2	2	2
NA	1	NA	NA	NA
NA	1	NA	NA	NA
0	1	2	5	1
NA	1	NA	NA	NA
1	1	3	5	1
1	1	3	4	1
NA	1	NA	NA	NA
1	1	4	4	2
0	1	NA	NA	NA
NA	1	NA	NA	NA
0	1	2	5	1
NA	1	NA	NA	NA
0	1	3	3	1
NA	1	NA	NA	NA
0	1	2	4	1
NA	1	NA	NA	NA
0	1	2	5	1
1	1	3	5	1
0	0	3	4	1
0	1	2	4	2
NA	1	NA	NA	NA
0	1	2	5	2
NA	1	NA	NA	NA
1	1	3	5	1
0	1	3	5	1
0	1	2	5	1
0	1	2	4	1
0	1	3	5	1
NA	1	NA	NA	NA
0	1	2	5	1
1	1	5	4	3
0	0	3	4	2
1	1	NA	NA	NA
1	1	3	4	2
0	1	4	4	3
1	1	NA	NA	NA
NA	1	NA	NA	NA
NA	1	NA	NA	NA
0	1	4	5	2
NA	1	NA	NA	NA
NA	1	NA	NA	NA
0	0	4	4	1
1	1	2	4	2
0	0	2	4	1
0	0	2	5	1
0	0	4	4	2
NA	0	NA	NA	NA
0	1	5	3	1
NA	1	NA	NA	NA
NA	0	NA	NA	NA
1	0	2	4	1
0	0	3	4	1
0	1	2	4	1
0	1	5	3	2
NA	0	NA	NA	NA
0	1	1	4	1
NA	1	NA	NA	NA
1	0	4	2	1
0	1	4	4	3
1	1	3	3	1
0	1	NA	NA	NA
0	1	NA	NA	NA
1	0	4	4	1
1	1	NA	NA	NA
0	0	3	5	2
0	0	4	4	1
NA	0	NA	NA	NA
0	1	2	4	2
NA	1	NA	NA	NA
NA	0	NA	NA	NA
1	1	1	3	1
1	1	2	5	4
NA	1	NA	NA	NA
NA	1	NA	NA	NA
0	1	2	4	1
NA	1	2	3	1
0	0	1	5	2
1	1	3	4	3
NA	1	NA	NA	NA
0	1	4	4	2
1	1	NA	NA	NA
NA	0	NA	NA	NA
NA	1	NA	NA	NA
0	1	1	5	2
NA	1	NA	NA	NA
0	1	NA	NA	NA
1	0	3	4	1
1	1	3	5	1
1	1	2	5	1
1	1	5	4	2
NA	1	NA	NA	NA
NA	1	NA	NA	NA
1	0	3	4	1
0	0	1	3	1
0	1	NA	NA	NA
1	1	3	5	2
0	1	0	5	1
1	1	2	4	3
NA	1	NA	NA	NA
NA	0	NA	NA	NA
NA	1	NA	NA	NA
0	0	3	5	1
1	1	3	4	1
1	0	2	5	1
0	0	2	3	1
1	0	4	5	4
NA	1	NA	NA	NA
0	1	1	5	1
0	1	3	4	1
NA	1	NA	NA	NA
NA	1	NA	NA	NA
NA	1	NA	NA	NA
NA	0	NA	NA	NA
0	1	2	4	2
NA	1	NA	NA	NA
1	0	2	4	1
NA	0	NA	NA	NA
1	0	3	5	1
0	0	3	4	1
1	0	2	5	1
0	0	4	5	2
0	0	1	4	1
NA	0	NA	NA	NA
0	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
1	0	2	5	3
1	0	2	4	2
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
0	0	3	4	1
0	0	1	5	1
NA	0	NA	NA	NA
NA	0	NA	NA	NA
1	0	4	3	3
NA	0	NA	NA	NA
1	0	2	5	1
1	0	1	4	1
1	0	3	4	1
NA	0	NA	NA	NA
0	0	1	5	1
0	0	NA	NA	NA
NA	0	NA	NA	NA
0	0	3	5	1
0	0	3	4	2
1	0	3	4	1
NA	0	NA	NA	NA
0	0	NA	NA	NA
1	0	NA	NA	NA
NA	0	NA	NA	NA
0	0	2	5	1
NA	0	NA	NA	NA
0	0	1	5	1
1	0	2	4	1
0	0	1	4	1
NA	0	NA	NA	NA
NA	0	NA	NA	NA
0	0	2	0	1
0	0	3	4	1
0	0	3	4	1
NA	0	NA	NA	NA
0	0	2	4	1
NA	0	NA	NA	NA
0	0	NA	NA	NA
0	0	NA	NA	NA
NA	0	NA	NA	NA
1	0	5	4	2
NA	0	NA	NA	NA
NA	0	NA	NA	NA
1	0	2	4	1
0	0	3	5	1
NA	0	NA	NA	NA
NA	0	NA	NA	NA
0	0	3	4	1
0	0	5	4	1
NA	0	NA	NA	NA
1	0	3	5	1
1	0	1	5	3
1	0	4	4	1
0	0	2	5	1
0	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	2	5	1
NA	0	NA	NA	NA
NA	0	NA	NA	NA
1	0	4	4	2
1	0	3	4	2
1	0	3	4	1
1	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
0	0	NA	NA	NA
NA	0	NA	NA	NA
1	0	4	5	2
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
0	0	3	4	2
NA	0	NA	NA	NA
NA	0	NA	NA	NA
NA	0	NA	NA	NA
0	0	NA	NA	NA

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153227&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153227&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153227&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Correlations for all pairs of data series (method=pearson)
	Gender	Pop	Stress	Belonging	CESD
Gender	1	0.009	0.185	0.015	0.226
Pop	0.009	1	-0.078	-0.053	0.14
Stress	0.185	-0.078	1	-0.124	0.23
Belonging	0.015	-0.053	-0.124	1	0.043
CESD	0.226	0.14	0.23	0.043	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Gender & Pop & Stress & Belonging & CESD \tabularnewline
Gender & 1 & 0.009 & 0.185 & 0.015 & 0.226 \tabularnewline
Pop & 0.009 & 1 & -0.078 & -0.053 & 0.14 \tabularnewline
Stress & 0.185 & -0.078 & 1 & -0.124 & 0.23 \tabularnewline
Belonging & 0.015 & -0.053 & -0.124 & 1 & 0.043 \tabularnewline
CESD & 0.226 & 0.14 & 0.23 & 0.043 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153227&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Gender[/C][C]Pop[/C][C]Stress[/C][C]Belonging[/C][C]CESD[/C][/ROW]
[ROW][C]Gender[/C][C]1[/C][C]0.009[/C][C]0.185[/C][C]0.015[/C][C]0.226[/C][/ROW]
[ROW][C]Pop[/C][C]0.009[/C][C]1[/C][C]-0.078[/C][C]-0.053[/C][C]0.14[/C][/ROW]
[ROW][C]Stress[/C][C]0.185[/C][C]-0.078[/C][C]1[/C][C]-0.124[/C][C]0.23[/C][/ROW]
[ROW][C]Belonging[/C][C]0.015[/C][C]-0.053[/C][C]-0.124[/C][C]1[/C][C]0.043[/C][/ROW]
[ROW][C]CESD[/C][C]0.226[/C][C]0.14[/C][C]0.23[/C][C]0.043[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153227&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153227&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)
	Gender	Pop	Stress	Belonging	CESD
Gender	1	0.009	0.185	0.015	0.226
Pop	0.009	1	-0.078	-0.053	0.14
Stress	0.185	-0.078	1	-0.124	0.23
Belonging	0.015	-0.053	-0.124	1	0.043
CESD	0.226	0.14	0.23	0.043	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Gender;Pop	0.0094	0.0094	0.0094
p-value	(0.9026)	(0.9026)	(0.9022)
Gender;Stress	0.185	0.1887	0.1728
p-value	(0.0259)	(0.023)	(0.0235)
Gender;Belonging	0.0154	-0.032	-0.0304
p-value	(0.8542)	(0.7024)	(0.701)
Gender;CESD	0.2261	0.1701	0.1626
p-value	(0.0062)	(0.0408)	(0.0413)
Pop;Stress	-0.0785	-0.1031	-0.0945
p-value	(0.3448)	(0.2139)	(0.2128)
Pop;Belonging	-0.0528	-0.0369	-0.035
p-value	(0.5257)	(0.6575)	(0.6559)
Pop;CESD	0.1404	0.1236	0.1182
p-value	(0.0899)	(0.136)	(0.1354)
Stress;Belonging	-0.1237	-0.1484	-0.1307
p-value	(0.1355)	(0.0728)	(0.0692)
Stress;CESD	0.23	0.2283	0.2031
p-value	(0.0051)	(0.0054)	(0.0051)
Belonging;CESD	0.0427	-0.0129	-0.0119
p-value	(0.6076)	(0.8765)	(0.8736)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Gender;Pop & 0.0094 & 0.0094 & 0.0094 \tabularnewline
p-value & (0.9026) & (0.9026) & (0.9022) \tabularnewline
Gender;Stress & 0.185 & 0.1887 & 0.1728 \tabularnewline
p-value & (0.0259) & (0.023) & (0.0235) \tabularnewline
Gender;Belonging & 0.0154 & -0.032 & -0.0304 \tabularnewline
p-value & (0.8542) & (0.7024) & (0.701) \tabularnewline
Gender;CESD & 0.2261 & 0.1701 & 0.1626 \tabularnewline
p-value & (0.0062) & (0.0408) & (0.0413) \tabularnewline
Pop;Stress & -0.0785 & -0.1031 & -0.0945 \tabularnewline
p-value & (0.3448) & (0.2139) & (0.2128) \tabularnewline
Pop;Belonging & -0.0528 & -0.0369 & -0.035 \tabularnewline
p-value & (0.5257) & (0.6575) & (0.6559) \tabularnewline
Pop;CESD & 0.1404 & 0.1236 & 0.1182 \tabularnewline
p-value & (0.0899) & (0.136) & (0.1354) \tabularnewline
Stress;Belonging & -0.1237 & -0.1484 & -0.1307 \tabularnewline
p-value & (0.1355) & (0.0728) & (0.0692) \tabularnewline
Stress;CESD & 0.23 & 0.2283 & 0.2031 \tabularnewline
p-value & (0.0051) & (0.0054) & (0.0051) \tabularnewline
Belonging;CESD & 0.0427 & -0.0129 & -0.0119 \tabularnewline
p-value & (0.6076) & (0.8765) & (0.8736) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=153227&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]Gender;Pop[/C][C]0.0094[/C][C]0.0094[/C][C]0.0094[/C][/ROW]
[ROW][C]p-value[/C][C](0.9026)[/C][C](0.9026)[/C][C](0.9022)[/C][/ROW]
[ROW][C]Gender;Stress[/C][C]0.185[/C][C]0.1887[/C][C]0.1728[/C][/ROW]
[ROW][C]p-value[/C][C](0.0259)[/C][C](0.023)[/C][C](0.0235)[/C][/ROW]
[ROW][C]Gender;Belonging[/C][C]0.0154[/C][C]-0.032[/C][C]-0.0304[/C][/ROW]
[ROW][C]p-value[/C][C](0.8542)[/C][C](0.7024)[/C][C](0.701)[/C][/ROW]
[ROW][C]Gender;CESD[/C][C]0.2261[/C][C]0.1701[/C][C]0.1626[/C][/ROW]
[ROW][C]p-value[/C][C](0.0062)[/C][C](0.0408)[/C][C](0.0413)[/C][/ROW]
[ROW][C]Pop;Stress[/C][C]-0.0785[/C][C]-0.1031[/C][C]-0.0945[/C][/ROW]
[ROW][C]p-value[/C][C](0.3448)[/C][C](0.2139)[/C][C](0.2128)[/C][/ROW]
[ROW][C]Pop;Belonging[/C][C]-0.0528[/C][C]-0.0369[/C][C]-0.035[/C][/ROW]
[ROW][C]p-value[/C][C](0.5257)[/C][C](0.6575)[/C][C](0.6559)[/C][/ROW]
[ROW][C]Pop;CESD[/C][C]0.1404[/C][C]0.1236[/C][C]0.1182[/C][/ROW]
[ROW][C]p-value[/C][C](0.0899)[/C][C](0.136)[/C][C](0.1354)[/C][/ROW]
[ROW][C]Stress;Belonging[/C][C]-0.1237[/C][C]-0.1484[/C][C]-0.1307[/C][/ROW]
[ROW][C]p-value[/C][C](0.1355)[/C][C](0.0728)[/C][C](0.0692)[/C][/ROW]
[ROW][C]Stress;CESD[/C][C]0.23[/C][C]0.2283[/C][C]0.2031[/C][/ROW]
[ROW][C]p-value[/C][C](0.0051)[/C][C](0.0054)[/C][C](0.0051)[/C][/ROW]
[ROW][C]Belonging;CESD[/C][C]0.0427[/C][C]-0.0129[/C][C]-0.0119[/C][/ROW]
[ROW][C]p-value[/C][C](0.6076)[/C][C](0.8765)[/C][C](0.8736)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=153227&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=153227&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
pair	Pearson r	Spearman rho	Kendall tau
Gender;Pop	0.0094	0.0094	0.0094
p-value	(0.9026)	(0.9026)	(0.9022)
Gender;Stress	0.185	0.1887	0.1728
p-value	(0.0259)	(0.023)	(0.0235)
Gender;Belonging	0.0154	-0.032	-0.0304
p-value	(0.8542)	(0.7024)	(0.701)
Gender;CESD	0.2261	0.1701	0.1626
p-value	(0.0062)	(0.0408)	(0.0413)
Pop;Stress	-0.0785	-0.1031	-0.0945
p-value	(0.3448)	(0.2139)	(0.2128)
Pop;Belonging	-0.0528	-0.0369	-0.035
p-value	(0.5257)	(0.6575)	(0.6559)
Pop;CESD	0.1404	0.1236	0.1182
p-value	(0.0899)	(0.136)	(0.1354)
Stress;Belonging	-0.1237	-0.1484	-0.1307
p-value	(0.1355)	(0.0728)	(0.0692)
Stress;CESD	0.23	0.2283	0.2031
p-value	(0.0051)	(0.0054)	(0.0051)
Belonging;CESD	0.0427	-0.0129	-0.0119
p-value	(0.6076)	(0.8765)	(0.8736)

Figure 1

PNG link

Postscript link

PDF link

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')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code