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Author

*The author of this computation has been verified*

R Software Module

Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Sun, 12 Dec 2010 13:18:29 +0000

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/12/t12921598869fbbtrirya93i4u.htm/, Retrieved Tue, 07 May 2024 20:19:11 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108430, Retrieved Tue, 07 May 2024 20:19:11 +0000

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Estimated Impact

136

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-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
-   PD  [Kendall tau Correlation Matrix] [WS10] [2010-12-12 12:49:13] [87116ee6ef949037dfa02b8eb1a3bf97]
-    D      [Kendall tau Correlation Matrix] [] [2010-12-12 13:18:29] [66b4703b90a9701067ac75b10c82aca9] [Current]

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Dataseries X:

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10	11	16	5	14	1	15
14	11	13	12	11	2	12
18	15	16	11	11	2	10
15	9	15	11	15	1	12
11	17	15	11	14	2	12
17	16	14	11	15	2	13
19	9	11	12	11	2	8
7	12	15	12	13	2	22
12	14	13	11	16	2	16
15	4	6	8	4	2	11
14	13	11	13	15	2	12
14	12	9	12	13	2	15
16	13	14	9	14	1	8
12	15	5	9	11	2	15
12	10	8	7	9	1	11
13	9	6	15	8	1	12
9	11	15	11	10	2	19
11	15	12	10	16	2	14
12	10	10	10	11	1	12
11	9	8	11	10	1	11
14	15	16	10	13	2	11
18	12	8	12	13	2	11
11	12	12	12	14	1	13
17	14	14	12	15	2	15
14	16	13	11	14	1	14
14	5	8	15	12	2	22
12	10	11	12	12	2	14
14	9	12	11	13	2	14
15	14	13	12	15	2	11
10	5	4	14	5	1	15
11	12	16	11	13	1	13
14	14	17	14	18	1	15
11	16	14	12	16	2	15
15	11	8	11	12	2	10
16	6	6	12	11	2	11
15	11	15	12	12	1	13
16	9	11	12	11	2	10
13	16	16	11	15	1	11
15	13	5	12	12	1	11
16	10	5	12	13	2	14
13	6	9	7	11	1	15
9	12	7	12	11	1	20
14	15	14	11	15	1	13
15	15	12	11	13	2	10
14	11	7	14	13	1	10
16	16	16	12	16	2	11
13	12	10	12	13	2	11
17	11	8	8	13	1	11
16	14	15	11	16	1	11
15	7	8	12	12	1	10
16	11	12	9	12	2	15
15	13	14	13	13	1	14
13	16	16	12	14	1	11
11	17	15	11	14	2	12
16	12	14	10	13	1	8
17	14	16	11	12	1	8
10	6	15	9	11	1	11
17	8	7	13	10	1	11
11	8	10	11	15	1	18
14	14	13	13	13	1	13
15	12	13	8	13	2	13
11	13	8	10	8	2	13
15	9	6	9	12	2	11
16	12	6	12	14	2	14
16	13	14	11	13	2	13
15	15	16	13	18	2	13
14	11	11	12	12	2	12
17	14	15	12	13	2	10
12	16	12	12	15	2	12
13	14	8	12	14	2	10
12	8	8	12	13	1	12
9	16	16	9	16	2	9
17	13	14	8	14	2	10
11	4	4	10	10	1	23
16	11	5	10	13	2	12
14	16	16	11	16	2	11
9	8	9	11	12	1	20
15	14	15	11	14	1	12
17	16	14	11	15	2	13
17	12	7	12	12	1	10
15	16	15	12	14	1	12
18	7	12	14	12	1	7
13	14	15	12	14	1	11
15	13	11	12	13	2	14
12	12	10	12	15	2	14
16	7	7	12	12	1	10
17	14	19	9	12	2	11
13	14	13	12	13	2	17
15	11	11	11	14	1	13
12	14	13	12	13	1	10
11	13	12	11	13	2	17
15	15	13	12	13	2	9
15	12	11	11	12	1	10
18	14	10	13	16	2	12
16	14	14	11	12	1	14
12	16	14	11	14	2	15
16	12	7	9	12	2	21
15	16	14	11	15	2	12
15	11	14	8	15	1	9
17	10	13	11	15	2	13
16	11	7	9	13	2	9
13	12	14	13	12	2	15
13	13	7	12	12	1	9
13	14	12	10	15	1	12
16	11	14	6	17	1	12
11	11	10	8	14	2	16
15	12	12	12	13	2	13
15	15	15	11	15	2	13
9	10	9	11	12	1	19
14	12	12	13	12	1	14
14	8	8	12	14	1	14
15	15	14	11	13	2	12
14	13	13	12	13	2	13
15	12	14	11	13	2	13
14	12	14	10	14	2	14
13	10	4	13	13	2	17
15	11	12	10	14	2	9
16	10	15	15	15	1	10
14	8	10	10	6	1	14
14	8	10	10	14	2	9
14	12	11	7	15	2	15
15	9	15	11	15	1	12
15	15	12	12	16	2	8
13	16	15	12	16	2	18
15	13	16	12	16	2	13
16	7	13	12	12	2	11
10	8	4	7	13	2	24
8	8	10	11	12	1	20
14	9	11	10	13	2	14
12	16	8	12	14	2	11
13	16	15	12	15	2	11
15	9	9	11	12	2	11
14	8	9	7	15	2	15
15	14	10	11	16	2	16
19	16	14	12	14	2	11
17	12	15	12	13	2	10
16	10	8	12	11	2	13
17	10	8	12	16	2	10
13	12	11	11	14	2	9
16	19	15	12	15	2	12
14	12	15	8	13	2	14
12	15	13	12	14	1	16
12	15	5	9	11	2	15
13	15	17	11	16	1	10

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108430&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108430&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108430&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	2 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=pearson)
	Happiness	Popularity	KnowPeople	Ffriends	Liked	Gender	Depression
Happiness	1	0.065	0.093	0.117	0.124	0.159	-0.532
Popularity	0.065	1	0.543	0.086	0.548	0.237	-0.179
KnowPeople	0.093	0.543	1	0.001	0.492	0.009	-0.207
Ffriends	0.117	0.086	0.001	1	0.033	-0.049	-0.067
Liked	0.124	0.548	0.492	0.033	1	0.15	-0.075
Gender	0.159	0.237	0.009	-0.049	0.15	1	0.058
Depression	-0.532	-0.179	-0.207	-0.067	-0.075	0.058	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Happiness & Popularity & KnowPeople & Ffriends & Liked & Gender & Depression \tabularnewline
Happiness & 1 & 0.065 & 0.093 & 0.117 & 0.124 & 0.159 & -0.532 \tabularnewline
Popularity & 0.065 & 1 & 0.543 & 0.086 & 0.548 & 0.237 & -0.179 \tabularnewline
KnowPeople & 0.093 & 0.543 & 1 & 0.001 & 0.492 & 0.009 & -0.207 \tabularnewline
Ffriends & 0.117 & 0.086 & 0.001 & 1 & 0.033 & -0.049 & -0.067 \tabularnewline
Liked & 0.124 & 0.548 & 0.492 & 0.033 & 1 & 0.15 & -0.075 \tabularnewline
Gender & 0.159 & 0.237 & 0.009 & -0.049 & 0.15 & 1 & 0.058 \tabularnewline
Depression & -0.532 & -0.179 & -0.207 & -0.067 & -0.075 & 0.058 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108430&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Happiness[/C][C]Popularity[/C][C]KnowPeople[/C][C]Ffriends[/C][C]Liked[/C][C]Gender[/C][C]Depression[/C][/ROW]
[ROW][C]Happiness[/C][C]1[/C][C]0.065[/C][C]0.093[/C][C]0.117[/C][C]0.124[/C][C]0.159[/C][C]-0.532[/C][/ROW]
[ROW][C]Popularity[/C][C]0.065[/C][C]1[/C][C]0.543[/C][C]0.086[/C][C]0.548[/C][C]0.237[/C][C]-0.179[/C][/ROW]
[ROW][C]KnowPeople[/C][C]0.093[/C][C]0.543[/C][C]1[/C][C]0.001[/C][C]0.492[/C][C]0.009[/C][C]-0.207[/C][/ROW]
[ROW][C]Ffriends[/C][C]0.117[/C][C]0.086[/C][C]0.001[/C][C]1[/C][C]0.033[/C][C]-0.049[/C][C]-0.067[/C][/ROW]
[ROW][C]Liked[/C][C]0.124[/C][C]0.548[/C][C]0.492[/C][C]0.033[/C][C]1[/C][C]0.15[/C][C]-0.075[/C][/ROW]
[ROW][C]Gender[/C][C]0.159[/C][C]0.237[/C][C]0.009[/C][C]-0.049[/C][C]0.15[/C][C]1[/C][C]0.058[/C][/ROW]
[ROW][C]Depression[/C][C]-0.532[/C][C]-0.179[/C][C]-0.207[/C][C]-0.067[/C][C]-0.075[/C][C]0.058[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108430&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108430&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)
	Happiness	Popularity	KnowPeople	Ffriends	Liked	Gender	Depression
Happiness	1	0.065	0.093	0.117	0.124	0.159	-0.532
Popularity	0.065	1	0.543	0.086	0.548	0.237	-0.179
KnowPeople	0.093	0.543	1	0.001	0.492	0.009	-0.207
Ffriends	0.117	0.086	0.001	1	0.033	-0.049	-0.067
Liked	0.124	0.548	0.492	0.033	1	0.15	-0.075
Gender	0.159	0.237	0.009	-0.049	0.15	1	0.058
Depression	-0.532	-0.179	-0.207	-0.067	-0.075	0.058	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Happiness;Popularity	0.0645	0.0078	7e-04
p-value	(0.4421)	(0.9258)	(0.9916)
Happiness;KnowPeople	0.093	0.079	0.0657
p-value	(0.2673)	(0.3467)	(0.2871)
Happiness;Ffriends	0.1166	0.1049	0.0832
p-value	(0.1638)	(0.2108)	(0.1993)
Happiness;Liked	0.1244	0.0627	0.0415
p-value	(0.1373)	(0.4556)	(0.5123)
Happiness;Gender	0.159	0.151	0.1307
p-value	(0.0569)	(0.0707)	(0.0709)
Happiness;Depression	-0.5318	-0.4534	-0.3583
p-value	(0)	(0)	(0)
Popularity;KnowPeople	0.5429	0.5438	0.4131
p-value	(0)	(0)	(0)
Popularity;Ffriends	0.0864	0.0725	0.0541
p-value	(0.3031)	(0.3877)	(0.3984)
Popularity;Liked	0.5478	0.5238	0.4089
p-value	(0)	(0)	(0)
Popularity;Gender	0.237	0.2321	0.1987
p-value	(0.0042)	(0.0051)	(0.0055)
Popularity;Depression	-0.1789	-0.0753	-0.0576
p-value	(0.0319)	(0.3698)	(0.3488)
KnowPeople;Ffriends	6e-04	-0.0328	-0.028
p-value	(0.9939)	(0.6962)	(0.6607)
KnowPeople;Liked	0.4916	0.4717	0.3666
p-value	(0)	(0)	(0)
KnowPeople;Gender	0.0086	-0.0079	-0.0067
p-value	(0.9182)	(0.9249)	(0.9246)
KnowPeople;Depression	-0.2074	-0.121	-0.1014
p-value	(0.0126)	(0.1486)	(0.098)
Ffriends;Liked	0.0329	0.0208	0.0149
p-value	(0.6951)	(0.8049)	(0.8204)
Ffriends;Gender	-0.0487	-0.0444	-0.0397
p-value	(0.5623)	(0.5976)	(0.5958)
Ffriends;Depression	-0.0672	-0.0483	-0.0375
p-value	(0.4233)	(0.5657)	(0.5602)
Liked;Gender	0.1502	0.1502	0.1315
p-value	(0.0723)	(0.0724)	(0.0725)
Liked;Depression	-0.0752	-0.0163	-0.0153
p-value	(0.3706)	(0.8462)	(0.8074)
Gender;Depression	0.0583	0.0825	0.0709
p-value	(0.4878)	(0.3256)	(0.3239)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Happiness;Popularity & 0.0645 & 0.0078 & 7e-04 \tabularnewline
p-value & (0.4421) & (0.9258) & (0.9916) \tabularnewline
Happiness;KnowPeople & 0.093 & 0.079 & 0.0657 \tabularnewline
p-value & (0.2673) & (0.3467) & (0.2871) \tabularnewline
Happiness;Ffriends & 0.1166 & 0.1049 & 0.0832 \tabularnewline
p-value & (0.1638) & (0.2108) & (0.1993) \tabularnewline
Happiness;Liked & 0.1244 & 0.0627 & 0.0415 \tabularnewline
p-value & (0.1373) & (0.4556) & (0.5123) \tabularnewline
Happiness;Gender & 0.159 & 0.151 & 0.1307 \tabularnewline
p-value & (0.0569) & (0.0707) & (0.0709) \tabularnewline
Happiness;Depression & -0.5318 & -0.4534 & -0.3583 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Popularity;KnowPeople & 0.5429 & 0.5438 & 0.4131 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Popularity;Ffriends & 0.0864 & 0.0725 & 0.0541 \tabularnewline
p-value & (0.3031) & (0.3877) & (0.3984) \tabularnewline
Popularity;Liked & 0.5478 & 0.5238 & 0.4089 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Popularity;Gender & 0.237 & 0.2321 & 0.1987 \tabularnewline
p-value & (0.0042) & (0.0051) & (0.0055) \tabularnewline
Popularity;Depression & -0.1789 & -0.0753 & -0.0576 \tabularnewline
p-value & (0.0319) & (0.3698) & (0.3488) \tabularnewline
KnowPeople;Ffriends & 6e-04 & -0.0328 & -0.028 \tabularnewline
p-value & (0.9939) & (0.6962) & (0.6607) \tabularnewline
KnowPeople;Liked & 0.4916 & 0.4717 & 0.3666 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
KnowPeople;Gender & 0.0086 & -0.0079 & -0.0067 \tabularnewline
p-value & (0.9182) & (0.9249) & (0.9246) \tabularnewline
KnowPeople;Depression & -0.2074 & -0.121 & -0.1014 \tabularnewline
p-value & (0.0126) & (0.1486) & (0.098) \tabularnewline
Ffriends;Liked & 0.0329 & 0.0208 & 0.0149 \tabularnewline
p-value & (0.6951) & (0.8049) & (0.8204) \tabularnewline
Ffriends;Gender & -0.0487 & -0.0444 & -0.0397 \tabularnewline
p-value & (0.5623) & (0.5976) & (0.5958) \tabularnewline
Ffriends;Depression & -0.0672 & -0.0483 & -0.0375 \tabularnewline
p-value & (0.4233) & (0.5657) & (0.5602) \tabularnewline
Liked;Gender & 0.1502 & 0.1502 & 0.1315 \tabularnewline
p-value & (0.0723) & (0.0724) & (0.0725) \tabularnewline
Liked;Depression & -0.0752 & -0.0163 & -0.0153 \tabularnewline
p-value & (0.3706) & (0.8462) & (0.8074) \tabularnewline
Gender;Depression & 0.0583 & 0.0825 & 0.0709 \tabularnewline
p-value & (0.4878) & (0.3256) & (0.3239) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108430&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]Happiness;Popularity[/C][C]0.0645[/C][C]0.0078[/C][C]7e-04[/C][/ROW]
[ROW][C]p-value[/C][C](0.4421)[/C][C](0.9258)[/C][C](0.9916)[/C][/ROW]
[ROW][C]Happiness;KnowPeople[/C][C]0.093[/C][C]0.079[/C][C]0.0657[/C][/ROW]
[ROW][C]p-value[/C][C](0.2673)[/C][C](0.3467)[/C][C](0.2871)[/C][/ROW]
[ROW][C]Happiness;Ffriends[/C][C]0.1166[/C][C]0.1049[/C][C]0.0832[/C][/ROW]
[ROW][C]p-value[/C][C](0.1638)[/C][C](0.2108)[/C][C](0.1993)[/C][/ROW]
[ROW][C]Happiness;Liked[/C][C]0.1244[/C][C]0.0627[/C][C]0.0415[/C][/ROW]
[ROW][C]p-value[/C][C](0.1373)[/C][C](0.4556)[/C][C](0.5123)[/C][/ROW]
[ROW][C]Happiness;Gender[/C][C]0.159[/C][C]0.151[/C][C]0.1307[/C][/ROW]
[ROW][C]p-value[/C][C](0.0569)[/C][C](0.0707)[/C][C](0.0709)[/C][/ROW]
[ROW][C]Happiness;Depression[/C][C]-0.5318[/C][C]-0.4534[/C][C]-0.3583[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Popularity;KnowPeople[/C][C]0.5429[/C][C]0.5438[/C][C]0.4131[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Popularity;Ffriends[/C][C]0.0864[/C][C]0.0725[/C][C]0.0541[/C][/ROW]
[ROW][C]p-value[/C][C](0.3031)[/C][C](0.3877)[/C][C](0.3984)[/C][/ROW]
[ROW][C]Popularity;Liked[/C][C]0.5478[/C][C]0.5238[/C][C]0.4089[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Popularity;Gender[/C][C]0.237[/C][C]0.2321[/C][C]0.1987[/C][/ROW]
[ROW][C]p-value[/C][C](0.0042)[/C][C](0.0051)[/C][C](0.0055)[/C][/ROW]
[ROW][C]Popularity;Depression[/C][C]-0.1789[/C][C]-0.0753[/C][C]-0.0576[/C][/ROW]
[ROW][C]p-value[/C][C](0.0319)[/C][C](0.3698)[/C][C](0.3488)[/C][/ROW]
[ROW][C]KnowPeople;Ffriends[/C][C]6e-04[/C][C]-0.0328[/C][C]-0.028[/C][/ROW]
[ROW][C]p-value[/C][C](0.9939)[/C][C](0.6962)[/C][C](0.6607)[/C][/ROW]
[ROW][C]KnowPeople;Liked[/C][C]0.4916[/C][C]0.4717[/C][C]0.3666[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]KnowPeople;Gender[/C][C]0.0086[/C][C]-0.0079[/C][C]-0.0067[/C][/ROW]
[ROW][C]p-value[/C][C](0.9182)[/C][C](0.9249)[/C][C](0.9246)[/C][/ROW]
[ROW][C]KnowPeople;Depression[/C][C]-0.2074[/C][C]-0.121[/C][C]-0.1014[/C][/ROW]
[ROW][C]p-value[/C][C](0.0126)[/C][C](0.1486)[/C][C](0.098)[/C][/ROW]
[ROW][C]Ffriends;Liked[/C][C]0.0329[/C][C]0.0208[/C][C]0.0149[/C][/ROW]
[ROW][C]p-value[/C][C](0.6951)[/C][C](0.8049)[/C][C](0.8204)[/C][/ROW]
[ROW][C]Ffriends;Gender[/C][C]-0.0487[/C][C]-0.0444[/C][C]-0.0397[/C][/ROW]
[ROW][C]p-value[/C][C](0.5623)[/C][C](0.5976)[/C][C](0.5958)[/C][/ROW]
[ROW][C]Ffriends;Depression[/C][C]-0.0672[/C][C]-0.0483[/C][C]-0.0375[/C][/ROW]
[ROW][C]p-value[/C][C](0.4233)[/C][C](0.5657)[/C][C](0.5602)[/C][/ROW]
[ROW][C]Liked;Gender[/C][C]0.1502[/C][C]0.1502[/C][C]0.1315[/C][/ROW]
[ROW][C]p-value[/C][C](0.0723)[/C][C](0.0724)[/C][C](0.0725)[/C][/ROW]
[ROW][C]Liked;Depression[/C][C]-0.0752[/C][C]-0.0163[/C][C]-0.0153[/C][/ROW]
[ROW][C]p-value[/C][C](0.3706)[/C][C](0.8462)[/C][C](0.8074)[/C][/ROW]
[ROW][C]Gender;Depression[/C][C]0.0583[/C][C]0.0825[/C][C]0.0709[/C][/ROW]
[ROW][C]p-value[/C][C](0.4878)[/C][C](0.3256)[/C][C](0.3239)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108430&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108430&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
Happiness;Popularity	0.0645	0.0078	7e-04
p-value	(0.4421)	(0.9258)	(0.9916)
Happiness;KnowPeople	0.093	0.079	0.0657
p-value	(0.2673)	(0.3467)	(0.2871)
Happiness;Ffriends	0.1166	0.1049	0.0832
p-value	(0.1638)	(0.2108)	(0.1993)
Happiness;Liked	0.1244	0.0627	0.0415
p-value	(0.1373)	(0.4556)	(0.5123)
Happiness;Gender	0.159	0.151	0.1307
p-value	(0.0569)	(0.0707)	(0.0709)
Happiness;Depression	-0.5318	-0.4534	-0.3583
p-value	(0)	(0)	(0)
Popularity;KnowPeople	0.5429	0.5438	0.4131
p-value	(0)	(0)	(0)
Popularity;Ffriends	0.0864	0.0725	0.0541
p-value	(0.3031)	(0.3877)	(0.3984)
Popularity;Liked	0.5478	0.5238	0.4089
p-value	(0)	(0)	(0)
Popularity;Gender	0.237	0.2321	0.1987
p-value	(0.0042)	(0.0051)	(0.0055)
Popularity;Depression	-0.1789	-0.0753	-0.0576
p-value	(0.0319)	(0.3698)	(0.3488)
KnowPeople;Ffriends	6e-04	-0.0328	-0.028
p-value	(0.9939)	(0.6962)	(0.6607)
KnowPeople;Liked	0.4916	0.4717	0.3666
p-value	(0)	(0)	(0)
KnowPeople;Gender	0.0086	-0.0079	-0.0067
p-value	(0.9182)	(0.9249)	(0.9246)
KnowPeople;Depression	-0.2074	-0.121	-0.1014
p-value	(0.0126)	(0.1486)	(0.098)
Ffriends;Liked	0.0329	0.0208	0.0149
p-value	(0.6951)	(0.8049)	(0.8204)
Ffriends;Gender	-0.0487	-0.0444	-0.0397
p-value	(0.5623)	(0.5976)	(0.5958)
Ffriends;Depression	-0.0672	-0.0483	-0.0375
p-value	(0.4233)	(0.5657)	(0.5602)
Liked;Gender	0.1502	0.1502	0.1315
p-value	(0.0723)	(0.0724)	(0.0725)
Liked;Depression	-0.0752	-0.0163	-0.0153
p-value	(0.3706)	(0.8462)	(0.8074)
Gender;Depression	0.0583	0.0825	0.0709
p-value	(0.4878)	(0.3256)	(0.3239)

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