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rwasp_pairs.wasp

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Kendall tau Correlation Matrix

Date of computation

Fri, 24 Dec 2010 15:11:01 +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/24/t12932033374jk0pxjfak991z2.htm/, Retrieved Tue, 30 Apr 2024 00:52:20 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115080, Retrieved Tue, 30 Apr 2024 00:52:20 +0000

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Estimated Impact

101

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-     [Kendall tau Correlation Matrix] [Kendell Tau's Paper] [2010-12-22 16:35:57] [1251ac2db27b84d4a3ba43449388906b]
-   P     [Kendall tau Correlation Matrix] [] [2010-12-24 15:11:01] [4f70e6cd0867f10d298e58e8e27859b5] [Current]

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15	10	12	16	6	1	1	3
12	9	7	12	6	1	0	0
9	12	11	11	4	1	0	3
10	12	11	12	6	1	3	0
13	9	14	14	6	1	1	3
16	11	16	16	7	1	1	0
14	12	13	13	6	1	2	0
16	11	13	14	7	2	0	1
10	12	5	13	6	1	1	1
8	12	8	13	4	0	0	0
12	11	14	13	5	2	1	0
15	11	15	15	8	1	0	2
14	12	8	14	4	1	0	0
14	6	13	12	6	1	0	0
12	13	12	12	6	1	0	1
12	11	11	12	5	0	2	1
10	12	8	11	4	0	3	1
4	10	4	10	2	0	2	0
14	11	15	15	8	0	2	1
15	12	12	16	7	0	0	0
16	12	14	14	6	1	0	0
12	12	9	13	4	2	0	0
12	11	16	13	4	0	0	0
12	12	10	13	4	0	1	0
12	12	8	13	5	0	2	0
12	12	14	14	4	1	0	0
11	6	6	9	4	1	1	0
11	5	16	14	6	3	0	0
11	12	11	12	6	0	1	3
11	14	7	13	6	0	1	2
11	12	13	11	4	1	0	0
11	9	7	13	2	2	0	1
15	11	14	15	7	1	0	0
15	11	17	16	6	1	0	1
9	11	15	15	7	0	2	2
16	12	8	14	4	0	2	1
13	10	8	8	4	0	0	1
9	12	11	11	4	2	2	0
16	11	16	15	6	1	2	0
12	12	10	15	6	1	0	0
15	9	5	11	3	2	1	0
5	15	8	12	3	0	3	0
11	11	8	12	6	1	2	0
17	11	15	14	5	2	0	0
9	15	6	8	4	0	2	1
13	12	16	16	6	2	0	0
16	9	16	16	6	0	1	1
16	12	16	14	6	0	1	0
14	9	19	12	6	1	1	0
16	11	14	15	6	0	1	1
11	12	15	12	6	1	0	0
11	11	11	14	5	0	1	2
11	6	14	17	6	1	2	1
12	10	12	13	6	1	0	0
12	12	15	13	6	1	1	1
12	13	14	12	5	1	1	0
14	11	13	16	6	1	1	1
10	10	11	12	5	1	0	2
9	11	8	10	4	0	1	0
12	7	11	15	5	0	1	0
10	11	9	12	4	1	0	0
14	11	10	16	6	2	2	0
8	7	4	13	6	1	0	0
16	12	15	15	7	0	2	1
14	14	17	18	6	0	1	3
14	11	12	12	4	0	0	1
12	12	12	13	4	0	1	0
14	11	15	14	6	0	1	0
7	12	13	12	3	0	1	0
19	12	15	15	6	2	1	0
15	12	14	16	4	0	0	2
8	12	8	14	5	0	0	0
10	15	15	15	6	1	0	0
13	11	12	13	7	1	1	0
13	13	14	13	3	1	0	3
10	10	10	11	5	1	0	1
12	12	7	12	3	1	0	0
15	13	16	18	8	0	0	1
7	14	12	12	4	0	0	1
14	11	15	16	6	0	0	1
10	11	7	9	4	1	1	1
6	7	9	11	4	2	0	0
11	11	15	10	5	1	1	0
12	12	7	11	4	2	2	0
14	12	15	13	6	3	1	0
12	10	14	13	7	1	2	0
14	12	14	15	7	0	1	2
11	8	8	13	4	2	1	1
10	7	8	9	5	1	0	0
13	11	14	13	6	0	1	2
8	11	10	12	4	0	0	1
9	11	12	13	5	2	0	4
6	9	15	11	6	1	1	0
12	12	12	14	5	1	0	0
14	13	13	13	5	0	0	0
11	9	12	12	4	2	2	0
8	11	10	15	2	0	0	1
7	12	8	12	3	1	0	0
9	9	6	12	5	0	2	0
14	12	13	13	5	3	1	0
13	12	7	12	5	0	0	0
15	12	13	13	6	0	1	2
5	14	4	5	2	1	1	2
15	11	14	13	5	0	2	2
13	12	13	13	5	0	1	0
12	8	13	13	5	0	0	1
6	12	6	11	2	1	0	0
7	12	7	12	4	1	0	0
13	12	5	12	3	3	0	0
16	11	14	15	8	2	0	0
10	11	13	15	6	0	1	0
16	12	16	16	7	1	0	0
15	10	16	13	6	1	0	0
8	13	7	10	3	1	0	1
11	8	14	15	5	1	0	0
13	12	11	13	6	1	1	2
16	11	17	16	7	0	2	1
11	10	5	13	3	0	1	3
14	13	10	16	8	0	1	1
9	10	11	13	3	0	0	2
8	10	10	14	3	0	1	0
8	7	9	15	4	2	0	0
11	10	12	14	5	1	3	0
12	8	15	13	7	0	2	0
11	12	7	13	6	2	1	0
14	12	13	15	6	1	0	0
11	12	8	16	6	1	0	0
14	11	16	12	5	1	1	0
13	13	15	14	6	0	0	1
12	12	6	14	5	1	1	0
4	8	6	4	4	1	0	0
15	11	12	13	6	0	0	0
10	12	8	16	4	0	0	1
13	13	11	15	6	0	0	0
15	12	13	14	6	0	0	2
12	10	14	14	5	0	0	0
13	12	14	14	6	1	0	0
8	10	10	6	4	0	0	0
10	13	4	13	6	0	0	1
15	11	16	14	6	1	0	0
16	12	12	15	8	0	1	0
16	12	15	16	7	1	0	0
14	10	12	15	6	0	0	0
14	11	14	12	6	1	0	0
12	11	11	14	2	0	0	0
15	11	16	11	5	0	0	0
13	8	14	14	5	0	0	1
16	11	14	14	6	1	0	0
14	12	15	14	6	0	0	1
8	11	9	12	4	0	0	0
16	12	15	14	6	0	0	0
16	12	14	16	8	1	0	1
12	12	15	13	6	0	1	0
11	8	10	14	5	0	0	0
16	12	14	16	8	0	0	0
9	11	9	12	4	0	0	0

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	'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115080&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115080&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115080&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	'RServer@AstonUniversity' @ vre.aston.ac.uk

Correlations for all pairs of data series (method=pearson)
	Popularity	FindingFriends	KnowingPeople	Liked	Celebrity	B	2B	3B
Popularity	1	0.094	0.584	0.567	0.6	0.037	-0.045	0.02
FindingFriends	0.094	1	0.017	0.089	0.031	-0.19	0.041	0.127
KnowingPeople	0.584	0.017	1	0.497	0.558	-0.034	-0.046	0.033
Liked	0.567	0.089	0.497	1	0.538	-0.072	-0.054	0.086
Celebrity	0.6	0.031	0.558	0.538	1	-0.027	0.055	0.011
B	0.037	-0.19	-0.034	-0.072	-0.027	1	-0.071	-0.184
2B	-0.045	0.041	-0.046	-0.054	0.055	-0.071	1	0.04
3B	0.02	0.127	0.033	0.086	0.011	-0.184	0.04	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Popularity & FindingFriends & KnowingPeople & Liked & Celebrity & B & 2B & 3B \tabularnewline
Popularity & 1 & 0.094 & 0.584 & 0.567 & 0.6 & 0.037 & -0.045 & 0.02 \tabularnewline
FindingFriends & 0.094 & 1 & 0.017 & 0.089 & 0.031 & -0.19 & 0.041 & 0.127 \tabularnewline
KnowingPeople & 0.584 & 0.017 & 1 & 0.497 & 0.558 & -0.034 & -0.046 & 0.033 \tabularnewline
Liked & 0.567 & 0.089 & 0.497 & 1 & 0.538 & -0.072 & -0.054 & 0.086 \tabularnewline
Celebrity & 0.6 & 0.031 & 0.558 & 0.538 & 1 & -0.027 & 0.055 & 0.011 \tabularnewline
B & 0.037 & -0.19 & -0.034 & -0.072 & -0.027 & 1 & -0.071 & -0.184 \tabularnewline
2B & -0.045 & 0.041 & -0.046 & -0.054 & 0.055 & -0.071 & 1 & 0.04 \tabularnewline
3B & 0.02 & 0.127 & 0.033 & 0.086 & 0.011 & -0.184 & 0.04 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115080&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Popularity[/C][C]FindingFriends[/C][C]KnowingPeople[/C][C]Liked[/C][C]Celebrity[/C][C]B[/C][C]2B[/C][C]3B[/C][/ROW]
[ROW][C]Popularity[/C][C]1[/C][C]0.094[/C][C]0.584[/C][C]0.567[/C][C]0.6[/C][C]0.037[/C][C]-0.045[/C][C]0.02[/C][/ROW]
[ROW][C]FindingFriends[/C][C]0.094[/C][C]1[/C][C]0.017[/C][C]0.089[/C][C]0.031[/C][C]-0.19[/C][C]0.041[/C][C]0.127[/C][/ROW]
[ROW][C]KnowingPeople[/C][C]0.584[/C][C]0.017[/C][C]1[/C][C]0.497[/C][C]0.558[/C][C]-0.034[/C][C]-0.046[/C][C]0.033[/C][/ROW]
[ROW][C]Liked[/C][C]0.567[/C][C]0.089[/C][C]0.497[/C][C]1[/C][C]0.538[/C][C]-0.072[/C][C]-0.054[/C][C]0.086[/C][/ROW]
[ROW][C]Celebrity[/C][C]0.6[/C][C]0.031[/C][C]0.558[/C][C]0.538[/C][C]1[/C][C]-0.027[/C][C]0.055[/C][C]0.011[/C][/ROW]
[ROW][C]B[/C][C]0.037[/C][C]-0.19[/C][C]-0.034[/C][C]-0.072[/C][C]-0.027[/C][C]1[/C][C]-0.071[/C][C]-0.184[/C][/ROW]
[ROW][C]2B[/C][C]-0.045[/C][C]0.041[/C][C]-0.046[/C][C]-0.054[/C][C]0.055[/C][C]-0.071[/C][C]1[/C][C]0.04[/C][/ROW]
[ROW][C]3B[/C][C]0.02[/C][C]0.127[/C][C]0.033[/C][C]0.086[/C][C]0.011[/C][C]-0.184[/C][C]0.04[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115080&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115080&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)
	Popularity	FindingFriends	KnowingPeople	Liked	Celebrity	B	2B	3B
Popularity	1	0.094	0.584	0.567	0.6	0.037	-0.045	0.02
FindingFriends	0.094	1	0.017	0.089	0.031	-0.19	0.041	0.127
KnowingPeople	0.584	0.017	1	0.497	0.558	-0.034	-0.046	0.033
Liked	0.567	0.089	0.497	1	0.538	-0.072	-0.054	0.086
Celebrity	0.6	0.031	0.558	0.538	1	-0.027	0.055	0.011
B	0.037	-0.19	-0.034	-0.072	-0.027	1	-0.071	-0.184
2B	-0.045	0.041	-0.046	-0.054	0.055	-0.071	1	0.04
3B	0.02	0.127	0.033	0.086	0.011	-0.184	0.04	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Popularity;FindingFriends	0.094	0.0891	0.0671
p-value	(0.2432)	(0.2688)	(0.2772)
Popularity;KnowingPeople	0.5837	0.5916	0.4504
p-value	(0)	(0)	(0)
Popularity;Liked	0.5672	0.5512	0.433
p-value	(0)	(0)	(0)
Popularity;Celebrity	0.6001	0.588	0.4814
p-value	(0)	(0)	(0)
Popularity;B	0.0371	0.0022	0.0021
p-value	(0.6455)	(0.9783)	(0.9744)
Popularity;2B	-0.0449	-0.0115	-0.0113
p-value	(0.5782)	(0.887)	(0.8628)
Popularity;3B	0.02	0.0337	0.0262
p-value	(0.8045)	(0.6762)	(0.6901)
FindingFriends;KnowingPeople	0.0172	-0.0171	-0.015
p-value	(0.8308)	(0.8318)	(0.8069)
FindingFriends;Liked	0.0886	0.0775	0.0612
p-value	(0.2714)	(0.3361)	(0.3316)
FindingFriends;Celebrity	0.0305	0.048	0.0382
p-value	(0.7052)	(0.5522)	(0.5541)
FindingFriends;B	-0.1905	-0.1288	-0.1104
p-value	(0.0172)	(0.109)	(0.1072)
FindingFriends;2B	0.041	-0.0187	-0.016
p-value	(0.6111)	(0.8167)	(0.8146)
FindingFriends;3B	0.1265	0.0928	0.0792
p-value	(0.1155)	(0.2492)	(0.2481)
KnowingPeople;Liked	0.4973	0.4753	0.3704
p-value	(0)	(0)	(0)
KnowingPeople;Celebrity	0.5577	0.5692	0.4502
p-value	(0)	(0)	(0)
KnowingPeople;B	-0.0336	-0.0214	-0.0163
p-value	(0.6772)	(0.7913)	(0.8032)
KnowingPeople;2B	-0.0457	-0.0173	-0.012
p-value	(0.5709)	(0.8307)	(0.8536)
KnowingPeople;3B	0.0325	0.0161	0.0129
p-value	(0.6868)	(0.8414)	(0.8436)
Liked;Celebrity	0.5376	0.5699	0.4651
p-value	(0)	(0)	(0)
Liked;B	-0.0717	-0.1068	-0.0876
p-value	(0.3736)	(0.1844)	(0.1907)
Liked;2B	-0.0541	-0.0707	-0.0597
p-value	(0.5022)	(0.3806)	(0.3717)
Liked;3B	0.0857	0.1189	0.0978
p-value	(0.2874)	(0.1392)	(0.1446)
Celebrity;B	-0.0268	0.0056	0.0045
p-value	(0.7399)	(0.9445)	(0.9475)
Celebrity;2B	0.0548	0.0865	0.0748
p-value	(0.4967)	(0.2831)	(0.2752)
Celebrity;3B	0.0114	0.0426	0.0359
p-value	(0.888)	(0.5971)	(0.6017)
B;2B	-0.071	-0.085	-0.0769
p-value	(0.3784)	(0.2913)	(0.2905)
B;3B	-0.1837	-0.2498	-0.2255
p-value	(0.0217)	(0.0017)	(0.002)
2B;3B	0.0396	0.0834	0.0738
p-value	(0.6234)	(0.3004)	(0.311)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Popularity;FindingFriends & 0.094 & 0.0891 & 0.0671 \tabularnewline
p-value & (0.2432) & (0.2688) & (0.2772) \tabularnewline
Popularity;KnowingPeople & 0.5837 & 0.5916 & 0.4504 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Popularity;Liked & 0.5672 & 0.5512 & 0.433 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Popularity;Celebrity & 0.6001 & 0.588 & 0.4814 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Popularity;B & 0.0371 & 0.0022 & 0.0021 \tabularnewline
p-value & (0.6455) & (0.9783) & (0.9744) \tabularnewline
Popularity;2B & -0.0449 & -0.0115 & -0.0113 \tabularnewline
p-value & (0.5782) & (0.887) & (0.8628) \tabularnewline
Popularity;3B & 0.02 & 0.0337 & 0.0262 \tabularnewline
p-value & (0.8045) & (0.6762) & (0.6901) \tabularnewline
FindingFriends;KnowingPeople & 0.0172 & -0.0171 & -0.015 \tabularnewline
p-value & (0.8308) & (0.8318) & (0.8069) \tabularnewline
FindingFriends;Liked & 0.0886 & 0.0775 & 0.0612 \tabularnewline
p-value & (0.2714) & (0.3361) & (0.3316) \tabularnewline
FindingFriends;Celebrity & 0.0305 & 0.048 & 0.0382 \tabularnewline
p-value & (0.7052) & (0.5522) & (0.5541) \tabularnewline
FindingFriends;B & -0.1905 & -0.1288 & -0.1104 \tabularnewline
p-value & (0.0172) & (0.109) & (0.1072) \tabularnewline
FindingFriends;2B & 0.041 & -0.0187 & -0.016 \tabularnewline
p-value & (0.6111) & (0.8167) & (0.8146) \tabularnewline
FindingFriends;3B & 0.1265 & 0.0928 & 0.0792 \tabularnewline
p-value & (0.1155) & (0.2492) & (0.2481) \tabularnewline
KnowingPeople;Liked & 0.4973 & 0.4753 & 0.3704 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
KnowingPeople;Celebrity & 0.5577 & 0.5692 & 0.4502 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
KnowingPeople;B & -0.0336 & -0.0214 & -0.0163 \tabularnewline
p-value & (0.6772) & (0.7913) & (0.8032) \tabularnewline
KnowingPeople;2B & -0.0457 & -0.0173 & -0.012 \tabularnewline
p-value & (0.5709) & (0.8307) & (0.8536) \tabularnewline
KnowingPeople;3B & 0.0325 & 0.0161 & 0.0129 \tabularnewline
p-value & (0.6868) & (0.8414) & (0.8436) \tabularnewline
Liked;Celebrity & 0.5376 & 0.5699 & 0.4651 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Liked;B & -0.0717 & -0.1068 & -0.0876 \tabularnewline
p-value & (0.3736) & (0.1844) & (0.1907) \tabularnewline
Liked;2B & -0.0541 & -0.0707 & -0.0597 \tabularnewline
p-value & (0.5022) & (0.3806) & (0.3717) \tabularnewline
Liked;3B & 0.0857 & 0.1189 & 0.0978 \tabularnewline
p-value & (0.2874) & (0.1392) & (0.1446) \tabularnewline
Celebrity;B & -0.0268 & 0.0056 & 0.0045 \tabularnewline
p-value & (0.7399) & (0.9445) & (0.9475) \tabularnewline
Celebrity;2B & 0.0548 & 0.0865 & 0.0748 \tabularnewline
p-value & (0.4967) & (0.2831) & (0.2752) \tabularnewline
Celebrity;3B & 0.0114 & 0.0426 & 0.0359 \tabularnewline
p-value & (0.888) & (0.5971) & (0.6017) \tabularnewline
B;2B & -0.071 & -0.085 & -0.0769 \tabularnewline
p-value & (0.3784) & (0.2913) & (0.2905) \tabularnewline
B;3B & -0.1837 & -0.2498 & -0.2255 \tabularnewline
p-value & (0.0217) & (0.0017) & (0.002) \tabularnewline
2B;3B & 0.0396 & 0.0834 & 0.0738 \tabularnewline
p-value & (0.6234) & (0.3004) & (0.311) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115080&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]Popularity;FindingFriends[/C][C]0.094[/C][C]0.0891[/C][C]0.0671[/C][/ROW]
[ROW][C]p-value[/C][C](0.2432)[/C][C](0.2688)[/C][C](0.2772)[/C][/ROW]
[ROW][C]Popularity;KnowingPeople[/C][C]0.5837[/C][C]0.5916[/C][C]0.4504[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Popularity;Liked[/C][C]0.5672[/C][C]0.5512[/C][C]0.433[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Popularity;Celebrity[/C][C]0.6001[/C][C]0.588[/C][C]0.4814[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Popularity;B[/C][C]0.0371[/C][C]0.0022[/C][C]0.0021[/C][/ROW]
[ROW][C]p-value[/C][C](0.6455)[/C][C](0.9783)[/C][C](0.9744)[/C][/ROW]
[ROW][C]Popularity;2B[/C][C]-0.0449[/C][C]-0.0115[/C][C]-0.0113[/C][/ROW]
[ROW][C]p-value[/C][C](0.5782)[/C][C](0.887)[/C][C](0.8628)[/C][/ROW]
[ROW][C]Popularity;3B[/C][C]0.02[/C][C]0.0337[/C][C]0.0262[/C][/ROW]
[ROW][C]p-value[/C][C](0.8045)[/C][C](0.6762)[/C][C](0.6901)[/C][/ROW]
[ROW][C]FindingFriends;KnowingPeople[/C][C]0.0172[/C][C]-0.0171[/C][C]-0.015[/C][/ROW]
[ROW][C]p-value[/C][C](0.8308)[/C][C](0.8318)[/C][C](0.8069)[/C][/ROW]
[ROW][C]FindingFriends;Liked[/C][C]0.0886[/C][C]0.0775[/C][C]0.0612[/C][/ROW]
[ROW][C]p-value[/C][C](0.2714)[/C][C](0.3361)[/C][C](0.3316)[/C][/ROW]
[ROW][C]FindingFriends;Celebrity[/C][C]0.0305[/C][C]0.048[/C][C]0.0382[/C][/ROW]
[ROW][C]p-value[/C][C](0.7052)[/C][C](0.5522)[/C][C](0.5541)[/C][/ROW]
[ROW][C]FindingFriends;B[/C][C]-0.1905[/C][C]-0.1288[/C][C]-0.1104[/C][/ROW]
[ROW][C]p-value[/C][C](0.0172)[/C][C](0.109)[/C][C](0.1072)[/C][/ROW]
[ROW][C]FindingFriends;2B[/C][C]0.041[/C][C]-0.0187[/C][C]-0.016[/C][/ROW]
[ROW][C]p-value[/C][C](0.6111)[/C][C](0.8167)[/C][C](0.8146)[/C][/ROW]
[ROW][C]FindingFriends;3B[/C][C]0.1265[/C][C]0.0928[/C][C]0.0792[/C][/ROW]
[ROW][C]p-value[/C][C](0.1155)[/C][C](0.2492)[/C][C](0.2481)[/C][/ROW]
[ROW][C]KnowingPeople;Liked[/C][C]0.4973[/C][C]0.4753[/C][C]0.3704[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]KnowingPeople;Celebrity[/C][C]0.5577[/C][C]0.5692[/C][C]0.4502[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]KnowingPeople;B[/C][C]-0.0336[/C][C]-0.0214[/C][C]-0.0163[/C][/ROW]
[ROW][C]p-value[/C][C](0.6772)[/C][C](0.7913)[/C][C](0.8032)[/C][/ROW]
[ROW][C]KnowingPeople;2B[/C][C]-0.0457[/C][C]-0.0173[/C][C]-0.012[/C][/ROW]
[ROW][C]p-value[/C][C](0.5709)[/C][C](0.8307)[/C][C](0.8536)[/C][/ROW]
[ROW][C]KnowingPeople;3B[/C][C]0.0325[/C][C]0.0161[/C][C]0.0129[/C][/ROW]
[ROW][C]p-value[/C][C](0.6868)[/C][C](0.8414)[/C][C](0.8436)[/C][/ROW]
[ROW][C]Liked;Celebrity[/C][C]0.5376[/C][C]0.5699[/C][C]0.4651[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Liked;B[/C][C]-0.0717[/C][C]-0.1068[/C][C]-0.0876[/C][/ROW]
[ROW][C]p-value[/C][C](0.3736)[/C][C](0.1844)[/C][C](0.1907)[/C][/ROW]
[ROW][C]Liked;2B[/C][C]-0.0541[/C][C]-0.0707[/C][C]-0.0597[/C][/ROW]
[ROW][C]p-value[/C][C](0.5022)[/C][C](0.3806)[/C][C](0.3717)[/C][/ROW]
[ROW][C]Liked;3B[/C][C]0.0857[/C][C]0.1189[/C][C]0.0978[/C][/ROW]
[ROW][C]p-value[/C][C](0.2874)[/C][C](0.1392)[/C][C](0.1446)[/C][/ROW]
[ROW][C]Celebrity;B[/C][C]-0.0268[/C][C]0.0056[/C][C]0.0045[/C][/ROW]
[ROW][C]p-value[/C][C](0.7399)[/C][C](0.9445)[/C][C](0.9475)[/C][/ROW]
[ROW][C]Celebrity;2B[/C][C]0.0548[/C][C]0.0865[/C][C]0.0748[/C][/ROW]
[ROW][C]p-value[/C][C](0.4967)[/C][C](0.2831)[/C][C](0.2752)[/C][/ROW]
[ROW][C]Celebrity;3B[/C][C]0.0114[/C][C]0.0426[/C][C]0.0359[/C][/ROW]
[ROW][C]p-value[/C][C](0.888)[/C][C](0.5971)[/C][C](0.6017)[/C][/ROW]
[ROW][C]B;2B[/C][C]-0.071[/C][C]-0.085[/C][C]-0.0769[/C][/ROW]
[ROW][C]p-value[/C][C](0.3784)[/C][C](0.2913)[/C][C](0.2905)[/C][/ROW]
[ROW][C]B;3B[/C][C]-0.1837[/C][C]-0.2498[/C][C]-0.2255[/C][/ROW]
[ROW][C]p-value[/C][C](0.0217)[/C][C](0.0017)[/C][C](0.002)[/C][/ROW]
[ROW][C]2B;3B[/C][C]0.0396[/C][C]0.0834[/C][C]0.0738[/C][/ROW]
[ROW][C]p-value[/C][C](0.6234)[/C][C](0.3004)[/C][C](0.311)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115080&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115080&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
Popularity;FindingFriends	0.094	0.0891	0.0671
p-value	(0.2432)	(0.2688)	(0.2772)
Popularity;KnowingPeople	0.5837	0.5916	0.4504
p-value	(0)	(0)	(0)
Popularity;Liked	0.5672	0.5512	0.433
p-value	(0)	(0)	(0)
Popularity;Celebrity	0.6001	0.588	0.4814
p-value	(0)	(0)	(0)
Popularity;B	0.0371	0.0022	0.0021
p-value	(0.6455)	(0.9783)	(0.9744)
Popularity;2B	-0.0449	-0.0115	-0.0113
p-value	(0.5782)	(0.887)	(0.8628)
Popularity;3B	0.02	0.0337	0.0262
p-value	(0.8045)	(0.6762)	(0.6901)
FindingFriends;KnowingPeople	0.0172	-0.0171	-0.015
p-value	(0.8308)	(0.8318)	(0.8069)
FindingFriends;Liked	0.0886	0.0775	0.0612
p-value	(0.2714)	(0.3361)	(0.3316)
FindingFriends;Celebrity	0.0305	0.048	0.0382
p-value	(0.7052)	(0.5522)	(0.5541)
FindingFriends;B	-0.1905	-0.1288	-0.1104
p-value	(0.0172)	(0.109)	(0.1072)
FindingFriends;2B	0.041	-0.0187	-0.016
p-value	(0.6111)	(0.8167)	(0.8146)
FindingFriends;3B	0.1265	0.0928	0.0792
p-value	(0.1155)	(0.2492)	(0.2481)
KnowingPeople;Liked	0.4973	0.4753	0.3704
p-value	(0)	(0)	(0)
KnowingPeople;Celebrity	0.5577	0.5692	0.4502
p-value	(0)	(0)	(0)
KnowingPeople;B	-0.0336	-0.0214	-0.0163
p-value	(0.6772)	(0.7913)	(0.8032)
KnowingPeople;2B	-0.0457	-0.0173	-0.012
p-value	(0.5709)	(0.8307)	(0.8536)
KnowingPeople;3B	0.0325	0.0161	0.0129
p-value	(0.6868)	(0.8414)	(0.8436)
Liked;Celebrity	0.5376	0.5699	0.4651
p-value	(0)	(0)	(0)
Liked;B	-0.0717	-0.1068	-0.0876
p-value	(0.3736)	(0.1844)	(0.1907)
Liked;2B	-0.0541	-0.0707	-0.0597
p-value	(0.5022)	(0.3806)	(0.3717)
Liked;3B	0.0857	0.1189	0.0978
p-value	(0.2874)	(0.1392)	(0.1446)
Celebrity;B	-0.0268	0.0056	0.0045
p-value	(0.7399)	(0.9445)	(0.9475)
Celebrity;2B	0.0548	0.0865	0.0748
p-value	(0.4967)	(0.2831)	(0.2752)
Celebrity;3B	0.0114	0.0426	0.0359
p-value	(0.888)	(0.5971)	(0.6017)
B;2B	-0.071	-0.085	-0.0769
p-value	(0.3784)	(0.2913)	(0.2905)
B;3B	-0.1837	-0.2498	-0.2255
p-value	(0.0217)	(0.0017)	(0.002)
2B;3B	0.0396	0.0834	0.0738
p-value	(0.6234)	(0.3004)	(0.311)

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