Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

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

Mon, 13 Dec 2010 19:31:45 +0000

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/2010/Dec/13/t1292268625lf0vz65ml38jv9t.htm/, Retrieved Mon, 06 May 2024 13:59:19 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=109102, Retrieved Mon, 06 May 2024 13:59:19 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

136

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Kendall tau Correlation Matrix] [Paper Pearson Cor...] [2010-12-13 19:31:45] [8b27277f7b82c0354d659d066108e38e] [Current]
- RMP     [Multiple Regression] [Paper Celebrity MR] [2010-12-13 19:43:25] [65eb19f81eab2b6e672eafaed2a27190] 

Feedback Forum

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

6	2	1	3	11	16	14	5
4	1	1	1	11	13	11	12
5	1	1	3	15	16	11	11
4	1	1	3	11	6	9	6
4	1	2	3	9	11	11	12
6	1	1	3	14	13	16	11
6	1	1	1	12	15	13	12
4	2	4	3	6	9	11	7
4	1	1	3	4	6	4	8
6	1	1	1	13	11	15	13
4	1	1	1	12	9	13	12
6	1	1	3	10	4	13	13
5	1	1	1	12	8	13	12
4	1	3	3	9	11	11	12
6	2	1	3	16	16	15	11
3	2	1	1	13	5	12	12
5	1	1	1	12	6	14	12
6	1	6	1	11	7	13	12
4	2	1	3	12	16	13	11
6	2	1	1	12	12	12	13
2	1	1	3	11	7	13	9
7	2	1	3	16	13	14	11
5	1	1	1	9	12	13	11
2	2	1	3	8	10	15	11
4	1	1	1	11	12	12	9
4	2	1	4	9	8	10	11
6	2	1	3	16	15	14	12
6	1	1	3	14	15	13	12
5	2	1	3	10	10	11	10
6	1	4	3	14	13	15	12
6	2	1	1	16	16	14	12
4	1	1	3	12	10	13	12
6	2	1	3	13	14	14	9
6	1	1	3	16	16	16	9
6	1	1	3	15	13	13	12
2	2	1	1	5	4	5	14
4	2	1	3	12	7	11	12
5	1	1	1	11	15	10	11
3	1	1	2	15	5	11	9
7	2	1	3	15	14	15	11
5	1	1	1	12	11	15	7
3	1	1	1	5	8	12	15
8	1	1	3	16	14	15	11
8	1	1	3	16	12	15	12
5	2	2	1	12	12	14	12
6	2	1	3	6	15	11	9
3	2	1	3	7	8	12	12
5	2	1	3	14	16	12	11
4	2	2	3	8	9	12	11
5	1	4	3	12	13	13	8
5	2	1	1	10	8	9	7
6	2	4	3	11	15	12	12
5	1	1	2	13	14	14	8
6	1	1	1	15	12	16	10
6	1	2	2	10	11	12	12
4	2	3	3	9	6	8	15
8	1	1	3	16	14	16	12
6	2	2	1	11	8	16	12
4	2	1	3	8	8	13	12
6	2	1	1	14	15	14	12
5	2	1	3	11	14	15	8
5	1	1	3	12	14	14	10
6	2	1	3	14	17	18	14
6	1	1	3	15	16	13	10
6	2	1	3	14	13	13	12
6	2	1	3	11	7	13	14
6	2	1	1	11	14	17	6
6	1	1	3	15	12	13	11
7	2	1	3	12	14	13	10
4	2	1	3	7	12	12	14
4	1	1	1	10	8	11	12
3	2	1	1	13	14	13	13
6	2	1	3	15	17	16	11
5	1	1	3	15	14	13	11
5	1	1	1	13	13	13	12
3	2	2	3	8	7	10	13
5	1	1	1	14	13	13	12
4	2	1	3	11	8	13	8
3	2	1	3	12	7	12	12
7	1	1	3	16	16	16	11
4	2	1	3	8	10	6	10
4	1	1	3	12	14	14	12
5	2	2	7	11	11	14	11
6	1	1	1	13	11	13	12
2	1	1	3	6	6	11	12
2	2	1	1	4	4	10	10
6	1	1	3	11	11	12	12
4	2	1	1	7	7	12	12
5	2	1	3	12	11	12	11
6	1	1	3	12	12	13	10
7	1	1	1	16	16	16	12
8	1	1	1	15	15	15	11
6	1	4	3	13	16	16	12
6	1	1	2	12	10	15	12
3	1	1	1	9	11	13	10
7	1	1	1	16	17	16	11
3	1	1	2	11	5	13	10
6	2	1	2	14	15	14	11
4	2	1	1	10	9	12	11
4	1	1	2	10	8	16	12
6	1	1	3	11	8	12	11
6	1	2	3	16	14	14	11
6	1	1	2	8	4	13	7
4	1	1	3	16	8	14	12
7	1	1	1	12	15	13	8
5	1	1	3	11	12	14	10
7	1	1	2	16	15	15	12
4	1	1	3	9	9	12	11
6	2	1	2	13	15	14	13
6	1	1	3	14	19	12	9
6	1	1	1	10	13	15	11
5	1	1	1	12	14	12	13
5	1	1	3	11	10	14	8
6	1	1	3	12	15	13	12
7	1	1	3	13	12	13	11
4	2	1	1	14	12	12	11
4	1	1	3	12	12	13	12
8	1	1	3	14	10	16	13
6	1	1	1	13	14	13	11
3	1	1	1	8	10	14	10
4	1	4	3	13	8	8	10
5	1	1	1	10	11	12	10
5	2	1	3	8	8	14	12
6	2	1	3	15	13	14	12
8	1	1	3	15	16	18	13
2	1	2	1	12	11	14	11
4	2	1	1	8	10	12	11
7	1	2	3	15	12	16	12
5	1	1	3	9	6	12	9
6	2	1	3	14	14	12	11
6	1	1	3	16	14	14	12
4	1	1	3	14	8	14	12
5	2	1	3	14	13	13	13
6	1	1	3	14	13	12	6
6	1	1	3	14	10	16	11
6	2	1	2	14	12	15	10
6	2	4	3	13	14	14	12
5	1	1	3	12	14	13	11
5	2	5	3	13	7	12	12
6	1	1	1	19	15	15	12
4	1	1	2	8	9	15	7
6	1	1	3	10	5	13	12
3	1	1	1	7	13	12	12
6	1	1	1	12	7	12	9
8	1	1	3	16	14	16	12
4	1	1	3	15	14	16	12

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	3 seconds
R Server	'George Udny Yule' @ 72.249.76.132

\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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109102&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109102&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109102&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	3 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Correlations for all pairs of data series (method=pearson)
	Celebrity	Gender	Raised	Marital	Popularity	KnowingPeople	Liked	FindingFriends
Celebrity	1	-0.142	-0.008	0.115	0.615	0.538	0.515	0.014
Gender	-0.142	1	0.051	0.141	-0.183	-0.025	-0.155	0.071
Raised	-0.008	0.051	1	0.134	-0.067	-0.083	-0.094	0.062
Marital	0.115	0.141	0.134	1	0.088	0.057	0.013	-0.034
Popularity	0.615	-0.183	-0.067	0.088	1	0.583	0.569	0.102
KnowingPeople	0.538	-0.025	-0.083	0.057	0.583	1	0.466	-0.003
Liked	0.515	-0.155	-0.094	0.013	0.569	0.466	1	0.073
FindingFriends	0.014	0.071	0.062	-0.034	0.102	-0.003	0.073	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Celebrity & Gender & Raised & Marital & Popularity & KnowingPeople & Liked & FindingFriends \tabularnewline
Celebrity & 1 & -0.142 & -0.008 & 0.115 & 0.615 & 0.538 & 0.515 & 0.014 \tabularnewline
Gender & -0.142 & 1 & 0.051 & 0.141 & -0.183 & -0.025 & -0.155 & 0.071 \tabularnewline
Raised & -0.008 & 0.051 & 1 & 0.134 & -0.067 & -0.083 & -0.094 & 0.062 \tabularnewline
Marital & 0.115 & 0.141 & 0.134 & 1 & 0.088 & 0.057 & 0.013 & -0.034 \tabularnewline
Popularity & 0.615 & -0.183 & -0.067 & 0.088 & 1 & 0.583 & 0.569 & 0.102 \tabularnewline
KnowingPeople & 0.538 & -0.025 & -0.083 & 0.057 & 0.583 & 1 & 0.466 & -0.003 \tabularnewline
Liked & 0.515 & -0.155 & -0.094 & 0.013 & 0.569 & 0.466 & 1 & 0.073 \tabularnewline
FindingFriends & 0.014 & 0.071 & 0.062 & -0.034 & 0.102 & -0.003 & 0.073 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109102&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Celebrity[/C][C]Gender[/C][C]Raised[/C][C]Marital[/C][C]Popularity[/C][C]KnowingPeople[/C][C]Liked[/C][C]FindingFriends[/C][/ROW]
[ROW][C]Celebrity[/C][C]1[/C][C]-0.142[/C][C]-0.008[/C][C]0.115[/C][C]0.615[/C][C]0.538[/C][C]0.515[/C][C]0.014[/C][/ROW]
[ROW][C]Gender[/C][C]-0.142[/C][C]1[/C][C]0.051[/C][C]0.141[/C][C]-0.183[/C][C]-0.025[/C][C]-0.155[/C][C]0.071[/C][/ROW]
[ROW][C]Raised[/C][C]-0.008[/C][C]0.051[/C][C]1[/C][C]0.134[/C][C]-0.067[/C][C]-0.083[/C][C]-0.094[/C][C]0.062[/C][/ROW]
[ROW][C]Marital[/C][C]0.115[/C][C]0.141[/C][C]0.134[/C][C]1[/C][C]0.088[/C][C]0.057[/C][C]0.013[/C][C]-0.034[/C][/ROW]
[ROW][C]Popularity[/C][C]0.615[/C][C]-0.183[/C][C]-0.067[/C][C]0.088[/C][C]1[/C][C]0.583[/C][C]0.569[/C][C]0.102[/C][/ROW]
[ROW][C]KnowingPeople[/C][C]0.538[/C][C]-0.025[/C][C]-0.083[/C][C]0.057[/C][C]0.583[/C][C]1[/C][C]0.466[/C][C]-0.003[/C][/ROW]
[ROW][C]Liked[/C][C]0.515[/C][C]-0.155[/C][C]-0.094[/C][C]0.013[/C][C]0.569[/C][C]0.466[/C][C]1[/C][C]0.073[/C][/ROW]
[ROW][C]FindingFriends[/C][C]0.014[/C][C]0.071[/C][C]0.062[/C][C]-0.034[/C][C]0.102[/C][C]-0.003[/C][C]0.073[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109102&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109102&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)
	Celebrity	Gender	Raised	Marital	Popularity	KnowingPeople	Liked	FindingFriends
Celebrity	1	-0.142	-0.008	0.115	0.615	0.538	0.515	0.014
Gender	-0.142	1	0.051	0.141	-0.183	-0.025	-0.155	0.071
Raised	-0.008	0.051	1	0.134	-0.067	-0.083	-0.094	0.062
Marital	0.115	0.141	0.134	1	0.088	0.057	0.013	-0.034
Popularity	0.615	-0.183	-0.067	0.088	1	0.583	0.569	0.102
KnowingPeople	0.538	-0.025	-0.083	0.057	0.583	1	0.466	-0.003
Liked	0.515	-0.155	-0.094	0.013	0.569	0.466	1	0.073
FindingFriends	0.014	0.071	0.062	-0.034	0.102	-0.003	0.073	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Celebrity;Gender	-0.1425	-0.1259	-0.1131
p-value	(0.0863)	(0.13)	(0.1295)
Celebrity;Raised	-0.0076	-0.0477	-0.041
p-value	(0.9276)	(0.5673)	(0.5736)
Celebrity;Marital	0.1146	0.1035	0.09
p-value	(0.1684)	(0.214)	(0.2112)
Celebrity;Popularity	0.6154	0.6029	0.4973
p-value	(0)	(0)	(0)
Celebrity;KnowingPeople	0.538	0.5498	0.4358
p-value	(0)	(0)	(0)
Celebrity;Liked	0.5152	0.5365	0.4377
p-value	(0)	(0)	(0)
Celebrity;FindingFriends	0.0138	0.0341	0.0272
p-value	(0.869)	(0.6831)	(0.6831)
Gender;Raised	0.051	0.0762	0.0744
p-value	(0.5412)	(0.3608)	(0.359)
Gender;Marital	0.1405	0.1296	0.1251
p-value	(0.0907)	(0.1189)	(0.1185)
Gender;Popularity	-0.1832	-0.1657	-0.1421
p-value	(0.0269)	(0.0457)	(0.046)
Gender;KnowingPeople	-0.0252	-0.0117	-0.01
p-value	(0.7626)	(0.8881)	(0.8875)
Gender;Liked	-0.1549	-0.1571	-0.1377
p-value	(0.062)	(0.0582)	(0.0585)
Gender;FindingFriends	0.0708	0.0717	0.0641
p-value	(0.3957)	(0.3898)	(0.3879)
Raised;Marital	0.1337	0.1472	0.1384
p-value	(0.1077)	(0.0762)	(0.0771)
Raised;Popularity	-0.0669	-0.1152	-0.0948
p-value	(0.4222)	(0.1662)	(0.1732)
Raised;KnowingPeople	-0.0829	-0.1053	-0.0887
p-value	(0.3197)	(0.2059)	(0.1993)
Raised;Liked	-0.0938	-0.0847	-0.0716
p-value	(0.2604)	(0.3092)	(0.3138)
Raised;FindingFriends	0.0621	0.1207	0.107
p-value	(0.4568)	(0.1467)	(0.1404)
Marital;Popularity	0.0883	0.1105	0.0932
p-value	(0.2892)	(0.1842)	(0.175)
Marital;KnowingPeople	0.0571	0.064	0.0523
p-value	(0.4933)	(0.4426)	(0.4429)
Marital;Liked	0.0132	0.0081	0.0073
p-value	(0.8741)	(0.9224)	(0.9169)
Marital;FindingFriends	-0.0344	-0.0494	-0.0417
p-value	(0.6798)	(0.554)	(0.5601)
Popularity;KnowingPeople	0.5827	0.5957	0.4529
p-value	(0)	(0)	(0)
Popularity;Liked	0.5695	0.5511	0.4345
p-value	(0)	(0)	(0)
Popularity;FindingFriends	0.1023	0.1043	0.0794
p-value	(0.2191)	(0.2105)	(0.2129)
KnowingPeople;Liked	0.4663	0.4369	0.3382
p-value	(0)	(0)	(0)
KnowingPeople;FindingFriends	-0.0033	-0.0277	-0.0227
p-value	(0.9682)	(0.7401)	(0.7191)
Liked;FindingFriends	0.0726	0.0648	0.0515
p-value	(0.3838)	(0.4369)	(0.4287)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Celebrity;Gender & -0.1425 & -0.1259 & -0.1131 \tabularnewline
p-value & (0.0863) & (0.13) & (0.1295) \tabularnewline
Celebrity;Raised & -0.0076 & -0.0477 & -0.041 \tabularnewline
p-value & (0.9276) & (0.5673) & (0.5736) \tabularnewline
Celebrity;Marital & 0.1146 & 0.1035 & 0.09 \tabularnewline
p-value & (0.1684) & (0.214) & (0.2112) \tabularnewline
Celebrity;Popularity & 0.6154 & 0.6029 & 0.4973 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Celebrity;KnowingPeople & 0.538 & 0.5498 & 0.4358 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Celebrity;Liked & 0.5152 & 0.5365 & 0.4377 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Celebrity;FindingFriends & 0.0138 & 0.0341 & 0.0272 \tabularnewline
p-value & (0.869) & (0.6831) & (0.6831) \tabularnewline
Gender;Raised & 0.051 & 0.0762 & 0.0744 \tabularnewline
p-value & (0.5412) & (0.3608) & (0.359) \tabularnewline
Gender;Marital & 0.1405 & 0.1296 & 0.1251 \tabularnewline
p-value & (0.0907) & (0.1189) & (0.1185) \tabularnewline
Gender;Popularity & -0.1832 & -0.1657 & -0.1421 \tabularnewline
p-value & (0.0269) & (0.0457) & (0.046) \tabularnewline
Gender;KnowingPeople & -0.0252 & -0.0117 & -0.01 \tabularnewline
p-value & (0.7626) & (0.8881) & (0.8875) \tabularnewline
Gender;Liked & -0.1549 & -0.1571 & -0.1377 \tabularnewline
p-value & (0.062) & (0.0582) & (0.0585) \tabularnewline
Gender;FindingFriends & 0.0708 & 0.0717 & 0.0641 \tabularnewline
p-value & (0.3957) & (0.3898) & (0.3879) \tabularnewline
Raised;Marital & 0.1337 & 0.1472 & 0.1384 \tabularnewline
p-value & (0.1077) & (0.0762) & (0.0771) \tabularnewline
Raised;Popularity & -0.0669 & -0.1152 & -0.0948 \tabularnewline
p-value & (0.4222) & (0.1662) & (0.1732) \tabularnewline
Raised;KnowingPeople & -0.0829 & -0.1053 & -0.0887 \tabularnewline
p-value & (0.3197) & (0.2059) & (0.1993) \tabularnewline
Raised;Liked & -0.0938 & -0.0847 & -0.0716 \tabularnewline
p-value & (0.2604) & (0.3092) & (0.3138) \tabularnewline
Raised;FindingFriends & 0.0621 & 0.1207 & 0.107 \tabularnewline
p-value & (0.4568) & (0.1467) & (0.1404) \tabularnewline
Marital;Popularity & 0.0883 & 0.1105 & 0.0932 \tabularnewline
p-value & (0.2892) & (0.1842) & (0.175) \tabularnewline
Marital;KnowingPeople & 0.0571 & 0.064 & 0.0523 \tabularnewline
p-value & (0.4933) & (0.4426) & (0.4429) \tabularnewline
Marital;Liked & 0.0132 & 0.0081 & 0.0073 \tabularnewline
p-value & (0.8741) & (0.9224) & (0.9169) \tabularnewline
Marital;FindingFriends & -0.0344 & -0.0494 & -0.0417 \tabularnewline
p-value & (0.6798) & (0.554) & (0.5601) \tabularnewline
Popularity;KnowingPeople & 0.5827 & 0.5957 & 0.4529 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Popularity;Liked & 0.5695 & 0.5511 & 0.4345 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Popularity;FindingFriends & 0.1023 & 0.1043 & 0.0794 \tabularnewline
p-value & (0.2191) & (0.2105) & (0.2129) \tabularnewline
KnowingPeople;Liked & 0.4663 & 0.4369 & 0.3382 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
KnowingPeople;FindingFriends & -0.0033 & -0.0277 & -0.0227 \tabularnewline
p-value & (0.9682) & (0.7401) & (0.7191) \tabularnewline
Liked;FindingFriends & 0.0726 & 0.0648 & 0.0515 \tabularnewline
p-value & (0.3838) & (0.4369) & (0.4287) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=109102&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]Celebrity;Gender[/C][C]-0.1425[/C][C]-0.1259[/C][C]-0.1131[/C][/ROW]
[ROW][C]p-value[/C][C](0.0863)[/C][C](0.13)[/C][C](0.1295)[/C][/ROW]
[ROW][C]Celebrity;Raised[/C][C]-0.0076[/C][C]-0.0477[/C][C]-0.041[/C][/ROW]
[ROW][C]p-value[/C][C](0.9276)[/C][C](0.5673)[/C][C](0.5736)[/C][/ROW]
[ROW][C]Celebrity;Marital[/C][C]0.1146[/C][C]0.1035[/C][C]0.09[/C][/ROW]
[ROW][C]p-value[/C][C](0.1684)[/C][C](0.214)[/C][C](0.2112)[/C][/ROW]
[ROW][C]Celebrity;Popularity[/C][C]0.6154[/C][C]0.6029[/C][C]0.4973[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Celebrity;KnowingPeople[/C][C]0.538[/C][C]0.5498[/C][C]0.4358[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Celebrity;Liked[/C][C]0.5152[/C][C]0.5365[/C][C]0.4377[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Celebrity;FindingFriends[/C][C]0.0138[/C][C]0.0341[/C][C]0.0272[/C][/ROW]
[ROW][C]p-value[/C][C](0.869)[/C][C](0.6831)[/C][C](0.6831)[/C][/ROW]
[ROW][C]Gender;Raised[/C][C]0.051[/C][C]0.0762[/C][C]0.0744[/C][/ROW]
[ROW][C]p-value[/C][C](0.5412)[/C][C](0.3608)[/C][C](0.359)[/C][/ROW]
[ROW][C]Gender;Marital[/C][C]0.1405[/C][C]0.1296[/C][C]0.1251[/C][/ROW]
[ROW][C]p-value[/C][C](0.0907)[/C][C](0.1189)[/C][C](0.1185)[/C][/ROW]
[ROW][C]Gender;Popularity[/C][C]-0.1832[/C][C]-0.1657[/C][C]-0.1421[/C][/ROW]
[ROW][C]p-value[/C][C](0.0269)[/C][C](0.0457)[/C][C](0.046)[/C][/ROW]
[ROW][C]Gender;KnowingPeople[/C][C]-0.0252[/C][C]-0.0117[/C][C]-0.01[/C][/ROW]
[ROW][C]p-value[/C][C](0.7626)[/C][C](0.8881)[/C][C](0.8875)[/C][/ROW]
[ROW][C]Gender;Liked[/C][C]-0.1549[/C][C]-0.1571[/C][C]-0.1377[/C][/ROW]
[ROW][C]p-value[/C][C](0.062)[/C][C](0.0582)[/C][C](0.0585)[/C][/ROW]
[ROW][C]Gender;FindingFriends[/C][C]0.0708[/C][C]0.0717[/C][C]0.0641[/C][/ROW]
[ROW][C]p-value[/C][C](0.3957)[/C][C](0.3898)[/C][C](0.3879)[/C][/ROW]
[ROW][C]Raised;Marital[/C][C]0.1337[/C][C]0.1472[/C][C]0.1384[/C][/ROW]
[ROW][C]p-value[/C][C](0.1077)[/C][C](0.0762)[/C][C](0.0771)[/C][/ROW]
[ROW][C]Raised;Popularity[/C][C]-0.0669[/C][C]-0.1152[/C][C]-0.0948[/C][/ROW]
[ROW][C]p-value[/C][C](0.4222)[/C][C](0.1662)[/C][C](0.1732)[/C][/ROW]
[ROW][C]Raised;KnowingPeople[/C][C]-0.0829[/C][C]-0.1053[/C][C]-0.0887[/C][/ROW]
[ROW][C]p-value[/C][C](0.3197)[/C][C](0.2059)[/C][C](0.1993)[/C][/ROW]
[ROW][C]Raised;Liked[/C][C]-0.0938[/C][C]-0.0847[/C][C]-0.0716[/C][/ROW]
[ROW][C]p-value[/C][C](0.2604)[/C][C](0.3092)[/C][C](0.3138)[/C][/ROW]
[ROW][C]Raised;FindingFriends[/C][C]0.0621[/C][C]0.1207[/C][C]0.107[/C][/ROW]
[ROW][C]p-value[/C][C](0.4568)[/C][C](0.1467)[/C][C](0.1404)[/C][/ROW]
[ROW][C]Marital;Popularity[/C][C]0.0883[/C][C]0.1105[/C][C]0.0932[/C][/ROW]
[ROW][C]p-value[/C][C](0.2892)[/C][C](0.1842)[/C][C](0.175)[/C][/ROW]
[ROW][C]Marital;KnowingPeople[/C][C]0.0571[/C][C]0.064[/C][C]0.0523[/C][/ROW]
[ROW][C]p-value[/C][C](0.4933)[/C][C](0.4426)[/C][C](0.4429)[/C][/ROW]
[ROW][C]Marital;Liked[/C][C]0.0132[/C][C]0.0081[/C][C]0.0073[/C][/ROW]
[ROW][C]p-value[/C][C](0.8741)[/C][C](0.9224)[/C][C](0.9169)[/C][/ROW]
[ROW][C]Marital;FindingFriends[/C][C]-0.0344[/C][C]-0.0494[/C][C]-0.0417[/C][/ROW]
[ROW][C]p-value[/C][C](0.6798)[/C][C](0.554)[/C][C](0.5601)[/C][/ROW]
[ROW][C]Popularity;KnowingPeople[/C][C]0.5827[/C][C]0.5957[/C][C]0.4529[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Popularity;Liked[/C][C]0.5695[/C][C]0.5511[/C][C]0.4345[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Popularity;FindingFriends[/C][C]0.1023[/C][C]0.1043[/C][C]0.0794[/C][/ROW]
[ROW][C]p-value[/C][C](0.2191)[/C][C](0.2105)[/C][C](0.2129)[/C][/ROW]
[ROW][C]KnowingPeople;Liked[/C][C]0.4663[/C][C]0.4369[/C][C]0.3382[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]KnowingPeople;FindingFriends[/C][C]-0.0033[/C][C]-0.0277[/C][C]-0.0227[/C][/ROW]
[ROW][C]p-value[/C][C](0.9682)[/C][C](0.7401)[/C][C](0.7191)[/C][/ROW]
[ROW][C]Liked;FindingFriends[/C][C]0.0726[/C][C]0.0648[/C][C]0.0515[/C][/ROW]
[ROW][C]p-value[/C][C](0.3838)[/C][C](0.4369)[/C][C](0.4287)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=109102&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=109102&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
Celebrity;Gender	-0.1425	-0.1259	-0.1131
p-value	(0.0863)	(0.13)	(0.1295)
Celebrity;Raised	-0.0076	-0.0477	-0.041
p-value	(0.9276)	(0.5673)	(0.5736)
Celebrity;Marital	0.1146	0.1035	0.09
p-value	(0.1684)	(0.214)	(0.2112)
Celebrity;Popularity	0.6154	0.6029	0.4973
p-value	(0)	(0)	(0)
Celebrity;KnowingPeople	0.538	0.5498	0.4358
p-value	(0)	(0)	(0)
Celebrity;Liked	0.5152	0.5365	0.4377
p-value	(0)	(0)	(0)
Celebrity;FindingFriends	0.0138	0.0341	0.0272
p-value	(0.869)	(0.6831)	(0.6831)
Gender;Raised	0.051	0.0762	0.0744
p-value	(0.5412)	(0.3608)	(0.359)
Gender;Marital	0.1405	0.1296	0.1251
p-value	(0.0907)	(0.1189)	(0.1185)
Gender;Popularity	-0.1832	-0.1657	-0.1421
p-value	(0.0269)	(0.0457)	(0.046)
Gender;KnowingPeople	-0.0252	-0.0117	-0.01
p-value	(0.7626)	(0.8881)	(0.8875)
Gender;Liked	-0.1549	-0.1571	-0.1377
p-value	(0.062)	(0.0582)	(0.0585)
Gender;FindingFriends	0.0708	0.0717	0.0641
p-value	(0.3957)	(0.3898)	(0.3879)
Raised;Marital	0.1337	0.1472	0.1384
p-value	(0.1077)	(0.0762)	(0.0771)
Raised;Popularity	-0.0669	-0.1152	-0.0948
p-value	(0.4222)	(0.1662)	(0.1732)
Raised;KnowingPeople	-0.0829	-0.1053	-0.0887
p-value	(0.3197)	(0.2059)	(0.1993)
Raised;Liked	-0.0938	-0.0847	-0.0716
p-value	(0.2604)	(0.3092)	(0.3138)
Raised;FindingFriends	0.0621	0.1207	0.107
p-value	(0.4568)	(0.1467)	(0.1404)
Marital;Popularity	0.0883	0.1105	0.0932
p-value	(0.2892)	(0.1842)	(0.175)
Marital;KnowingPeople	0.0571	0.064	0.0523
p-value	(0.4933)	(0.4426)	(0.4429)
Marital;Liked	0.0132	0.0081	0.0073
p-value	(0.8741)	(0.9224)	(0.9169)
Marital;FindingFriends	-0.0344	-0.0494	-0.0417
p-value	(0.6798)	(0.554)	(0.5601)
Popularity;KnowingPeople	0.5827	0.5957	0.4529
p-value	(0)	(0)	(0)
Popularity;Liked	0.5695	0.5511	0.4345
p-value	(0)	(0)	(0)
Popularity;FindingFriends	0.1023	0.1043	0.0794
p-value	(0.2191)	(0.2105)	(0.2129)
KnowingPeople;Liked	0.4663	0.4369	0.3382
p-value	(0)	(0)	(0)
KnowingPeople;FindingFriends	-0.0033	-0.0277	-0.0227
p-value	(0.9682)	(0.7401)	(0.7191)
Liked;FindingFriends	0.0726	0.0648	0.0515
p-value	(0.3838)	(0.4369)	(0.4287)

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