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Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Sun, 12 Dec 2010 16:19:28 +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/t1292171024umayc0efted698a.htm/, Retrieved Tue, 07 May 2024 23:19:28 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108543, Retrieved Tue, 07 May 2024 23:19:28 +0000

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Estimated Impact

121

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-     [Kendall tau Correlation Matrix] [] [2010-12-05 18:04:16] [b98453cac15ba1066b407e146608df68]
- R PD    [Kendall tau Correlation Matrix] [WS10] [2010-12-12 16:19:28] [66b4703b90a9701067ac75b10c82aca9] [Current]

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Dataseries X:

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10	11	16	1	24	14	33	12	24
14	11	13	2	25	11	30	8	25
18	15	16	2	17	6	30	8	30
15	9	15	1	18	12	26	8	19
11	17	15	2	16	10	24	7	22
17	16	14	2	20	10	28	4	25
19	9	11	2	16	11	24	11	23
7	12	15	2	18	16	27	7	17
12	14	13	2	17	11	28	7	21
15	4	6	2	30	12	42	10	19
14	13	11	2	23	8	31	10	15
14	12	9	2	18	12	25	8	16
16	13	14	1	12	4	23	4	27
12	15	5	2	21	9	27	9	22
12	10	8	1	15	8	23	8	14
13	9	6	1	20	8	34	7	22
9	11	15	2	27	15	36	9	23
11	15	12	2	21	9	31	13	19
12	10	10	1	31	14	39	8	18
11	9	8	1	19	11	27	8	20
14	15	16	2	16	8	27	9	23
18	12	8	2	20	9	31	6	25
11	12	12	1	21	9	31	9	19
17	14	14	2	17	9	26	6	22
14	16	13	1	22	9	34	9	24
14	5	8	2	26	11	39	5	29
12	10	11	2	25	16	39	16	26
14	9	12	2	25	8	35	7	32
15	14	13	2	17	9	30	9	25
10	5	4	1	33	14	40	6	32
11	12	16	1	32	16	38	6	29
14	14	17	1	13	16	21	5	17
11	16	14	2	32	12	45	12	28
15	11	8	2	22	9	32	9	25
16	6	6	2	17	9	29	5	25
15	11	15	1	33	11	40	6	28
16	9	11	2	31	14	44	11	23
13	16	16	1	20	10	28	8	26
15	13	5	1	15	12	24	8	20
16	10	5	2	29	10	37	8	25
13	6	9	1	23	13	33	12	19
9	12	7	1	26	16	30	4	23
14	15	14	1	18	9	26	8	21
15	15	12	2	11	6	16	4	15
14	11	7	1	28	8	48	20	30
16	16	16	2	20	10	30	8	20
13	12	10	2	26	13	35	8	24
17	11	8	1	29	14	43	10	26
16	14	15	1	15	11	22	8	23
15	7	8	1	12	7	16	4	22
16	11	12	2	14	15	25	8	14
15	13	14	1	17	9	27	9	24
13	16	16	1	21	10	31	6	24
11	17	15	2	16	10	24	7	22
16	12	14	1	18	13	25	9	24
17	14	16	1	10	10	18	5	19
10	6	15	1	29	11	36	5	31
17	8	7	1	31	8	39	8	22
11	8	10	1	19	9	29	8	27
14	14	13	1	9	13	16	6	19
15	12	13	2	20	11	29	8	25
11	13	8	2	20	14	30	10	18
15	9	6	2	19	9	26	7	21
16	12	6	2	30	9	41	9	27
16	13	14	2	28	8	37	7	20
15	15	16	2	29	15	43	11	23
14	11	11	2	26	9	37	6	25
17	14	15	2	23	10	33	8	20
12	16	12	2	21	12	31	9	22
13	14	8	2	23	14	36	7	25
12	8	8	1	19	12	26	8	23
9	16	16	2	28	11	37	6	25
17	13	14	2	18	6	26	8	17
11	4	4	1	21	12	31	8	19
16	11	5	2	20	8	32	10	25
14	16	16	2	22	10	32	8	26
9	8	9	1	23	14	29	5	19
15	14	15	1	21	11	33	7	20
17	16	14	2	20	10	28	4	25
17	12	7	1	15	14	22	8	23
15	16	15	1	19	10	28	7	17
18	7	12	1	26	14	36	8	17
13	14	15	1	16	11	23	5	17
15	13	11	2	22	10	34	6	22
12	12	10	2	23	14	34	10	25
16	7	7	1	19	9	27	10	21
17	14	19	2	31	10	47	12	32
13	14	13	2	29	13	44	12	21
15	11	11	1	31	16	43	9	21
12	14	13	1	19	9	27	7	18
11	13	12	2	22	10	32	8	18
15	15	13	2	23	10	34	10	23
15	12	11	1	15	7	24	6	19
18	14	10	2	18	8	31	10	21
16	14	14	1	23	14	31	10	20
12	16	14	2	25	14	34	5	17
16	12	7	2	21	8	28	7	18
15	16	14	2	24	9	35	10	19
15	11	14	1	17	14	27	6	15
17	10	13	2	13	8	21	7	14
16	11	7	2	25	7	38	11	35
13	12	14	2	9	6	15	11	29
13	13	7	1	21	8	29	11	24
13	14	12	1	25	14	35	9	22
16	11	14	1	20	11	25	4	13
11	11	10	2	22	14	33	11	25
15	12	12	2	14	11	23	7	17
15	15	15	2	15	8	19	6	20
9	10	9	1	18	10	30	8	14
14	12	12	1	19	20	25	7	19
14	8	8	1	20	11	33	8	21
15	15	14	2	20	11	28	8	24
14	13	13	2	18	10	29	9	21
15	12	14	2	33	14	41	8	26
14	12	14	2	29	11	33	4	26
13	10	4	2	22	11	31	11	24
15	11	12	2	16	9	25	8	16
16	10	15	1	17	9	24	5	23
14	8	10	1	21	10	31	8	16
14	8	10	2	18	13	28	6	19
14	12	11	2	18	12	27	9	21
15	9	15	1	18	12	26	8	19
15	15	12	2	17	8	26	9	21
13	16	15	2	22	13	31	13	22
15	13	16	2	30	14	37	9	23
16	7	13	2	30	12	43	10	29
10	8	4	2	24	14	43	20	21
8	8	10	1	21	15	26	5	21
14	9	11	2	29	16	37	6	27
12	16	8	2	28	12	40	14	27
13	16	15	2	31	9	45	9	25
15	9	9	2	20	9	28	7	21
14	8	9	2	22	8	32	10	20
15	14	10	2	25	14	36	11	22
19	16	14	2	20	7	27	9	26
17	12	15	2	15	8	21	4	22
16	10	8	2	38	11	55	7	29
17	10	8	2	28	16	40	8	24
13	12	11	2	16	8	26	5	21
16	19	15	2	22	9	32	6	19
14	12	15	2	20	11	35	13	24
12	15	13	1	26	13	42	10	26
12	15	5	2	21	9	27	9	22
13	15	17	1	28	14	36	8	24

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	6 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 & 6 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108543&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]6 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=108543&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108543&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	6 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=kendall)
	Happiness	Popularity	KnowPeople	Gender	CMistakes	DAction	PExpectations	PCriticism	PStandards
Happiness	1	0.001	0.066	0.131	-0.119	-0.24	-0.085	-0.057	0.017
Popularity	0.001	1	0.413	0.199	-0.085	-0.105	-0.075	0.035	0.015
KnowPeople	0.066	0.413	1	-0.007	-0.083	0.028	-0.09	-0.117	0.01
Gender	0.131	0.199	-0.007	1	0.093	-0.134	0.146	0.161	0.139
CMistakes	-0.119	-0.085	-0.083	0.093	1	0.273	0.802	0.222	0.318
DAction	-0.24	-0.105	0.028	-0.134	0.273	1	0.223	0.062	-0.013
PExpectations	-0.085	-0.075	-0.09	0.146	0.802	0.223	1	0.298	0.34
PCriticism	-0.057	0.035	-0.117	0.161	0.222	0.062	0.298	1	0.122
PStandards	0.017	0.015	0.01	0.139	0.318	-0.013	0.34	0.122	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Happiness & Popularity & KnowPeople & Gender & CMistakes & DAction & PExpectations & PCriticism & PStandards \tabularnewline
Happiness & 1 & 0.001 & 0.066 & 0.131 & -0.119 & -0.24 & -0.085 & -0.057 & 0.017 \tabularnewline
Popularity & 0.001 & 1 & 0.413 & 0.199 & -0.085 & -0.105 & -0.075 & 0.035 & 0.015 \tabularnewline
KnowPeople & 0.066 & 0.413 & 1 & -0.007 & -0.083 & 0.028 & -0.09 & -0.117 & 0.01 \tabularnewline
Gender & 0.131 & 0.199 & -0.007 & 1 & 0.093 & -0.134 & 0.146 & 0.161 & 0.139 \tabularnewline
CMistakes & -0.119 & -0.085 & -0.083 & 0.093 & 1 & 0.273 & 0.802 & 0.222 & 0.318 \tabularnewline
DAction & -0.24 & -0.105 & 0.028 & -0.134 & 0.273 & 1 & 0.223 & 0.062 & -0.013 \tabularnewline
PExpectations & -0.085 & -0.075 & -0.09 & 0.146 & 0.802 & 0.223 & 1 & 0.298 & 0.34 \tabularnewline
PCriticism & -0.057 & 0.035 & -0.117 & 0.161 & 0.222 & 0.062 & 0.298 & 1 & 0.122 \tabularnewline
PStandards & 0.017 & 0.015 & 0.01 & 0.139 & 0.318 & -0.013 & 0.34 & 0.122 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108543&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Happiness[/C][C]Popularity[/C][C]KnowPeople[/C][C]Gender[/C][C]CMistakes[/C][C]DAction[/C][C]PExpectations[/C][C]PCriticism[/C][C]PStandards[/C][/ROW]
[ROW][C]Happiness[/C][C]1[/C][C]0.001[/C][C]0.066[/C][C]0.131[/C][C]-0.119[/C][C]-0.24[/C][C]-0.085[/C][C]-0.057[/C][C]0.017[/C][/ROW]
[ROW][C]Popularity[/C][C]0.001[/C][C]1[/C][C]0.413[/C][C]0.199[/C][C]-0.085[/C][C]-0.105[/C][C]-0.075[/C][C]0.035[/C][C]0.015[/C][/ROW]
[ROW][C]KnowPeople[/C][C]0.066[/C][C]0.413[/C][C]1[/C][C]-0.007[/C][C]-0.083[/C][C]0.028[/C][C]-0.09[/C][C]-0.117[/C][C]0.01[/C][/ROW]
[ROW][C]Gender[/C][C]0.131[/C][C]0.199[/C][C]-0.007[/C][C]1[/C][C]0.093[/C][C]-0.134[/C][C]0.146[/C][C]0.161[/C][C]0.139[/C][/ROW]
[ROW][C]CMistakes[/C][C]-0.119[/C][C]-0.085[/C][C]-0.083[/C][C]0.093[/C][C]1[/C][C]0.273[/C][C]0.802[/C][C]0.222[/C][C]0.318[/C][/ROW]
[ROW][C]DAction[/C][C]-0.24[/C][C]-0.105[/C][C]0.028[/C][C]-0.134[/C][C]0.273[/C][C]1[/C][C]0.223[/C][C]0.062[/C][C]-0.013[/C][/ROW]
[ROW][C]PExpectations[/C][C]-0.085[/C][C]-0.075[/C][C]-0.09[/C][C]0.146[/C][C]0.802[/C][C]0.223[/C][C]1[/C][C]0.298[/C][C]0.34[/C][/ROW]
[ROW][C]PCriticism[/C][C]-0.057[/C][C]0.035[/C][C]-0.117[/C][C]0.161[/C][C]0.222[/C][C]0.062[/C][C]0.298[/C][C]1[/C][C]0.122[/C][/ROW]
[ROW][C]PStandards[/C][C]0.017[/C][C]0.015[/C][C]0.01[/C][C]0.139[/C][C]0.318[/C][C]-0.013[/C][C]0.34[/C][C]0.122[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108543&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108543&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=kendall)
	Happiness	Popularity	KnowPeople	Gender	CMistakes	DAction	PExpectations	PCriticism	PStandards
Happiness	1	0.001	0.066	0.131	-0.119	-0.24	-0.085	-0.057	0.017
Popularity	0.001	1	0.413	0.199	-0.085	-0.105	-0.075	0.035	0.015
KnowPeople	0.066	0.413	1	-0.007	-0.083	0.028	-0.09	-0.117	0.01
Gender	0.131	0.199	-0.007	1	0.093	-0.134	0.146	0.161	0.139
CMistakes	-0.119	-0.085	-0.083	0.093	1	0.273	0.802	0.222	0.318
DAction	-0.24	-0.105	0.028	-0.134	0.273	1	0.223	0.062	-0.013
PExpectations	-0.085	-0.075	-0.09	0.146	0.802	0.223	1	0.298	0.34
PCriticism	-0.057	0.035	-0.117	0.161	0.222	0.062	0.298	1	0.122
PStandards	0.017	0.015	0.01	0.139	0.318	-0.013	0.34	0.122	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;Gender	0.159	0.151	0.1307
p-value	(0.0569)	(0.0707)	(0.0709)
Happiness;CMistakes	-0.1312	-0.164	-0.1189
p-value	(0.1171)	(0.0496)	(0.0504)
Happiness;DAction	-0.335	-0.3104	-0.2397
p-value	(0)	(2e-04)	(1e-04)
Happiness;PExpectations	-0.0798	-0.1191	-0.0846
p-value	(0.3419)	(0.1549)	(0.1616)
Happiness;PCriticism	-0.0953	-0.0776	-0.0574
p-value	(0.2556)	(0.3554)	(0.3605)
Happiness;PStandards	0.0343	0.0258	0.0167
p-value	(0.6833)	(0.7586)	(0.7847)
Popularity;KnowPeople	0.5429	0.5438	0.4131
p-value	(0)	(0)	(0)
Popularity;Gender	0.237	0.2321	0.1987
p-value	(0.0042)	(0.0051)	(0.0055)
Popularity;CMistakes	-0.1503	-0.1182	-0.0851
p-value	(0.0722)	(0.1583)	(0.1568)
Popularity;DAction	-0.1482	-0.1468	-0.1046
p-value	(0.0764)	(0.0792)	(0.0902)
Popularity;PExpectations	-0.1253	-0.104	-0.0754
p-value	(0.1344)	(0.215)	(0.207)
Popularity;PCriticism	0.0041	0.044	0.0348
p-value	(0.9608)	(0.6003)	(0.5748)
Popularity;PStandards	-0.031	0.0163	0.0154
p-value	(0.7126)	(0.8459)	(0.799)
KnowPeople;Gender	0.0086	-0.0079	-0.0067
p-value	(0.9182)	(0.9249)	(0.9246)
KnowPeople;CMistakes	-0.1031	-0.1095	-0.0829
p-value	(0.2188)	(0.1915)	(0.1661)
KnowPeople;DAction	0.0172	0.0411	0.0283
p-value	(0.8381)	(0.6246)	(0.6452)
KnowPeople;PExpectations	-0.1311	-0.1231	-0.0905
p-value	(0.1174)	(0.1415)	(0.1286)
KnowPeople;PCriticism	-0.186	-0.1598	-0.1173
p-value	(0.0256)	(0.0557)	(0.0576)
KnowPeople;PStandards	-0.0192	0.0133	0.0101
p-value	(0.8193)	(0.8744)	(0.8672)
Gender;CMistakes	0.1062	0.1112	0.0934
p-value	(0.2051)	(0.1844)	(0.1834)
Gender;DAction	-0.1575	-0.1553	-0.1338
p-value	(0.0593)	(0.0632)	(0.0634)
Gender;PExpectations	0.1621	0.1748	0.1459
p-value	(0.0522)	(0.0361)	(0.0366)
Gender;PCriticism	0.1621	0.1856	0.1608
p-value	(0.0522)	(0.0259)	(0.0265)
Gender;PStandards	0.1463	0.1642	0.1388
p-value	(0.0803)	(0.0493)	(0.0496)
CMistakes;DAction	0.361	0.366	0.2731
p-value	(0)	(0)	(0)
CMistakes;PExpectations	0.9247	0.9277	0.8018
p-value	(0)	(0)	(0)
CMistakes;PCriticism	0.2593	0.2908	0.2218
p-value	(0.0017)	(4e-04)	(3e-04)
CMistakes;PStandards	0.4575	0.4311	0.3181
p-value	(0)	(0)	(0)
DAction;PExpectations	0.2938	0.2987	0.2227
p-value	(4e-04)	(3e-04)	(2e-04)
DAction;PCriticism	0.106	0.0853	0.0618
p-value	(0.2059)	(0.3096)	(0.3229)
DAction;PStandards	-0.0569	-0.0184	-0.013
p-value	(0.4985)	(0.8267)	(0.8312)
PExpectations;PCriticism	0.4396	0.3919	0.2981
p-value	(0)	(0)	(0)
PExpectations;PStandards	0.474	0.4625	0.3395
p-value	(0)	(0)	(0)
PCriticism;PStandards	0.1825	0.1602	0.1218
p-value	(0.0286)	(0.0551)	(0.0469)

\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;Gender & 0.159 & 0.151 & 0.1307 \tabularnewline
p-value & (0.0569) & (0.0707) & (0.0709) \tabularnewline
Happiness;CMistakes & -0.1312 & -0.164 & -0.1189 \tabularnewline
p-value & (0.1171) & (0.0496) & (0.0504) \tabularnewline
Happiness;DAction & -0.335 & -0.3104 & -0.2397 \tabularnewline
p-value & (0) & (2e-04) & (1e-04) \tabularnewline
Happiness;PExpectations & -0.0798 & -0.1191 & -0.0846 \tabularnewline
p-value & (0.3419) & (0.1549) & (0.1616) \tabularnewline
Happiness;PCriticism & -0.0953 & -0.0776 & -0.0574 \tabularnewline
p-value & (0.2556) & (0.3554) & (0.3605) \tabularnewline
Happiness;PStandards & 0.0343 & 0.0258 & 0.0167 \tabularnewline
p-value & (0.6833) & (0.7586) & (0.7847) \tabularnewline
Popularity;KnowPeople & 0.5429 & 0.5438 & 0.4131 \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;CMistakes & -0.1503 & -0.1182 & -0.0851 \tabularnewline
p-value & (0.0722) & (0.1583) & (0.1568) \tabularnewline
Popularity;DAction & -0.1482 & -0.1468 & -0.1046 \tabularnewline
p-value & (0.0764) & (0.0792) & (0.0902) \tabularnewline
Popularity;PExpectations & -0.1253 & -0.104 & -0.0754 \tabularnewline
p-value & (0.1344) & (0.215) & (0.207) \tabularnewline
Popularity;PCriticism & 0.0041 & 0.044 & 0.0348 \tabularnewline
p-value & (0.9608) & (0.6003) & (0.5748) \tabularnewline
Popularity;PStandards & -0.031 & 0.0163 & 0.0154 \tabularnewline
p-value & (0.7126) & (0.8459) & (0.799) \tabularnewline
KnowPeople;Gender & 0.0086 & -0.0079 & -0.0067 \tabularnewline
p-value & (0.9182) & (0.9249) & (0.9246) \tabularnewline
KnowPeople;CMistakes & -0.1031 & -0.1095 & -0.0829 \tabularnewline
p-value & (0.2188) & (0.1915) & (0.1661) \tabularnewline
KnowPeople;DAction & 0.0172 & 0.0411 & 0.0283 \tabularnewline
p-value & (0.8381) & (0.6246) & (0.6452) \tabularnewline
KnowPeople;PExpectations & -0.1311 & -0.1231 & -0.0905 \tabularnewline
p-value & (0.1174) & (0.1415) & (0.1286) \tabularnewline
KnowPeople;PCriticism & -0.186 & -0.1598 & -0.1173 \tabularnewline
p-value & (0.0256) & (0.0557) & (0.0576) \tabularnewline
KnowPeople;PStandards & -0.0192 & 0.0133 & 0.0101 \tabularnewline
p-value & (0.8193) & (0.8744) & (0.8672) \tabularnewline
Gender;CMistakes & 0.1062 & 0.1112 & 0.0934 \tabularnewline
p-value & (0.2051) & (0.1844) & (0.1834) \tabularnewline
Gender;DAction & -0.1575 & -0.1553 & -0.1338 \tabularnewline
p-value & (0.0593) & (0.0632) & (0.0634) \tabularnewline
Gender;PExpectations & 0.1621 & 0.1748 & 0.1459 \tabularnewline
p-value & (0.0522) & (0.0361) & (0.0366) \tabularnewline
Gender;PCriticism & 0.1621 & 0.1856 & 0.1608 \tabularnewline
p-value & (0.0522) & (0.0259) & (0.0265) \tabularnewline
Gender;PStandards & 0.1463 & 0.1642 & 0.1388 \tabularnewline
p-value & (0.0803) & (0.0493) & (0.0496) \tabularnewline
CMistakes;DAction & 0.361 & 0.366 & 0.2731 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CMistakes;PExpectations & 0.9247 & 0.9277 & 0.8018 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
CMistakes;PCriticism & 0.2593 & 0.2908 & 0.2218 \tabularnewline
p-value & (0.0017) & (4e-04) & (3e-04) \tabularnewline
CMistakes;PStandards & 0.4575 & 0.4311 & 0.3181 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
DAction;PExpectations & 0.2938 & 0.2987 & 0.2227 \tabularnewline
p-value & (4e-04) & (3e-04) & (2e-04) \tabularnewline
DAction;PCriticism & 0.106 & 0.0853 & 0.0618 \tabularnewline
p-value & (0.2059) & (0.3096) & (0.3229) \tabularnewline
DAction;PStandards & -0.0569 & -0.0184 & -0.013 \tabularnewline
p-value & (0.4985) & (0.8267) & (0.8312) \tabularnewline
PExpectations;PCriticism & 0.4396 & 0.3919 & 0.2981 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PExpectations;PStandards & 0.474 & 0.4625 & 0.3395 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
PCriticism;PStandards & 0.1825 & 0.1602 & 0.1218 \tabularnewline
p-value & (0.0286) & (0.0551) & (0.0469) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108543&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;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;CMistakes[/C][C]-0.1312[/C][C]-0.164[/C][C]-0.1189[/C][/ROW]
[ROW][C]p-value[/C][C](0.1171)[/C][C](0.0496)[/C][C](0.0504)[/C][/ROW]
[ROW][C]Happiness;DAction[/C][C]-0.335[/C][C]-0.3104[/C][C]-0.2397[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](2e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Happiness;PExpectations[/C][C]-0.0798[/C][C]-0.1191[/C][C]-0.0846[/C][/ROW]
[ROW][C]p-value[/C][C](0.3419)[/C][C](0.1549)[/C][C](0.1616)[/C][/ROW]
[ROW][C]Happiness;PCriticism[/C][C]-0.0953[/C][C]-0.0776[/C][C]-0.0574[/C][/ROW]
[ROW][C]p-value[/C][C](0.2556)[/C][C](0.3554)[/C][C](0.3605)[/C][/ROW]
[ROW][C]Happiness;PStandards[/C][C]0.0343[/C][C]0.0258[/C][C]0.0167[/C][/ROW]
[ROW][C]p-value[/C][C](0.6833)[/C][C](0.7586)[/C][C](0.7847)[/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;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;CMistakes[/C][C]-0.1503[/C][C]-0.1182[/C][C]-0.0851[/C][/ROW]
[ROW][C]p-value[/C][C](0.0722)[/C][C](0.1583)[/C][C](0.1568)[/C][/ROW]
[ROW][C]Popularity;DAction[/C][C]-0.1482[/C][C]-0.1468[/C][C]-0.1046[/C][/ROW]
[ROW][C]p-value[/C][C](0.0764)[/C][C](0.0792)[/C][C](0.0902)[/C][/ROW]
[ROW][C]Popularity;PExpectations[/C][C]-0.1253[/C][C]-0.104[/C][C]-0.0754[/C][/ROW]
[ROW][C]p-value[/C][C](0.1344)[/C][C](0.215)[/C][C](0.207)[/C][/ROW]
[ROW][C]Popularity;PCriticism[/C][C]0.0041[/C][C]0.044[/C][C]0.0348[/C][/ROW]
[ROW][C]p-value[/C][C](0.9608)[/C][C](0.6003)[/C][C](0.5748)[/C][/ROW]
[ROW][C]Popularity;PStandards[/C][C]-0.031[/C][C]0.0163[/C][C]0.0154[/C][/ROW]
[ROW][C]p-value[/C][C](0.7126)[/C][C](0.8459)[/C][C](0.799)[/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;CMistakes[/C][C]-0.1031[/C][C]-0.1095[/C][C]-0.0829[/C][/ROW]
[ROW][C]p-value[/C][C](0.2188)[/C][C](0.1915)[/C][C](0.1661)[/C][/ROW]
[ROW][C]KnowPeople;DAction[/C][C]0.0172[/C][C]0.0411[/C][C]0.0283[/C][/ROW]
[ROW][C]p-value[/C][C](0.8381)[/C][C](0.6246)[/C][C](0.6452)[/C][/ROW]
[ROW][C]KnowPeople;PExpectations[/C][C]-0.1311[/C][C]-0.1231[/C][C]-0.0905[/C][/ROW]
[ROW][C]p-value[/C][C](0.1174)[/C][C](0.1415)[/C][C](0.1286)[/C][/ROW]
[ROW][C]KnowPeople;PCriticism[/C][C]-0.186[/C][C]-0.1598[/C][C]-0.1173[/C][/ROW]
[ROW][C]p-value[/C][C](0.0256)[/C][C](0.0557)[/C][C](0.0576)[/C][/ROW]
[ROW][C]KnowPeople;PStandards[/C][C]-0.0192[/C][C]0.0133[/C][C]0.0101[/C][/ROW]
[ROW][C]p-value[/C][C](0.8193)[/C][C](0.8744)[/C][C](0.8672)[/C][/ROW]
[ROW][C]Gender;CMistakes[/C][C]0.1062[/C][C]0.1112[/C][C]0.0934[/C][/ROW]
[ROW][C]p-value[/C][C](0.2051)[/C][C](0.1844)[/C][C](0.1834)[/C][/ROW]
[ROW][C]Gender;DAction[/C][C]-0.1575[/C][C]-0.1553[/C][C]-0.1338[/C][/ROW]
[ROW][C]p-value[/C][C](0.0593)[/C][C](0.0632)[/C][C](0.0634)[/C][/ROW]
[ROW][C]Gender;PExpectations[/C][C]0.1621[/C][C]0.1748[/C][C]0.1459[/C][/ROW]
[ROW][C]p-value[/C][C](0.0522)[/C][C](0.0361)[/C][C](0.0366)[/C][/ROW]
[ROW][C]Gender;PCriticism[/C][C]0.1621[/C][C]0.1856[/C][C]0.1608[/C][/ROW]
[ROW][C]p-value[/C][C](0.0522)[/C][C](0.0259)[/C][C](0.0265)[/C][/ROW]
[ROW][C]Gender;PStandards[/C][C]0.1463[/C][C]0.1642[/C][C]0.1388[/C][/ROW]
[ROW][C]p-value[/C][C](0.0803)[/C][C](0.0493)[/C][C](0.0496)[/C][/ROW]
[ROW][C]CMistakes;DAction[/C][C]0.361[/C][C]0.366[/C][C]0.2731[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CMistakes;PExpectations[/C][C]0.9247[/C][C]0.9277[/C][C]0.8018[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]CMistakes;PCriticism[/C][C]0.2593[/C][C]0.2908[/C][C]0.2218[/C][/ROW]
[ROW][C]p-value[/C][C](0.0017)[/C][C](4e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]CMistakes;PStandards[/C][C]0.4575[/C][C]0.4311[/C][C]0.3181[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]DAction;PExpectations[/C][C]0.2938[/C][C]0.2987[/C][C]0.2227[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](3e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]DAction;PCriticism[/C][C]0.106[/C][C]0.0853[/C][C]0.0618[/C][/ROW]
[ROW][C]p-value[/C][C](0.2059)[/C][C](0.3096)[/C][C](0.3229)[/C][/ROW]
[ROW][C]DAction;PStandards[/C][C]-0.0569[/C][C]-0.0184[/C][C]-0.013[/C][/ROW]
[ROW][C]p-value[/C][C](0.4985)[/C][C](0.8267)[/C][C](0.8312)[/C][/ROW]
[ROW][C]PExpectations;PCriticism[/C][C]0.4396[/C][C]0.3919[/C][C]0.2981[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PExpectations;PStandards[/C][C]0.474[/C][C]0.4625[/C][C]0.3395[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]PCriticism;PStandards[/C][C]0.1825[/C][C]0.1602[/C][C]0.1218[/C][/ROW]
[ROW][C]p-value[/C][C](0.0286)[/C][C](0.0551)[/C][C](0.0469)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108543&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108543&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;Gender	0.159	0.151	0.1307
p-value	(0.0569)	(0.0707)	(0.0709)
Happiness;CMistakes	-0.1312	-0.164	-0.1189
p-value	(0.1171)	(0.0496)	(0.0504)
Happiness;DAction	-0.335	-0.3104	-0.2397
p-value	(0)	(2e-04)	(1e-04)
Happiness;PExpectations	-0.0798	-0.1191	-0.0846
p-value	(0.3419)	(0.1549)	(0.1616)
Happiness;PCriticism	-0.0953	-0.0776	-0.0574
p-value	(0.2556)	(0.3554)	(0.3605)
Happiness;PStandards	0.0343	0.0258	0.0167
p-value	(0.6833)	(0.7586)	(0.7847)
Popularity;KnowPeople	0.5429	0.5438	0.4131
p-value	(0)	(0)	(0)
Popularity;Gender	0.237	0.2321	0.1987
p-value	(0.0042)	(0.0051)	(0.0055)
Popularity;CMistakes	-0.1503	-0.1182	-0.0851
p-value	(0.0722)	(0.1583)	(0.1568)
Popularity;DAction	-0.1482	-0.1468	-0.1046
p-value	(0.0764)	(0.0792)	(0.0902)
Popularity;PExpectations	-0.1253	-0.104	-0.0754
p-value	(0.1344)	(0.215)	(0.207)
Popularity;PCriticism	0.0041	0.044	0.0348
p-value	(0.9608)	(0.6003)	(0.5748)
Popularity;PStandards	-0.031	0.0163	0.0154
p-value	(0.7126)	(0.8459)	(0.799)
KnowPeople;Gender	0.0086	-0.0079	-0.0067
p-value	(0.9182)	(0.9249)	(0.9246)
KnowPeople;CMistakes	-0.1031	-0.1095	-0.0829
p-value	(0.2188)	(0.1915)	(0.1661)
KnowPeople;DAction	0.0172	0.0411	0.0283
p-value	(0.8381)	(0.6246)	(0.6452)
KnowPeople;PExpectations	-0.1311	-0.1231	-0.0905
p-value	(0.1174)	(0.1415)	(0.1286)
KnowPeople;PCriticism	-0.186	-0.1598	-0.1173
p-value	(0.0256)	(0.0557)	(0.0576)
KnowPeople;PStandards	-0.0192	0.0133	0.0101
p-value	(0.8193)	(0.8744)	(0.8672)
Gender;CMistakes	0.1062	0.1112	0.0934
p-value	(0.2051)	(0.1844)	(0.1834)
Gender;DAction	-0.1575	-0.1553	-0.1338
p-value	(0.0593)	(0.0632)	(0.0634)
Gender;PExpectations	0.1621	0.1748	0.1459
p-value	(0.0522)	(0.0361)	(0.0366)
Gender;PCriticism	0.1621	0.1856	0.1608
p-value	(0.0522)	(0.0259)	(0.0265)
Gender;PStandards	0.1463	0.1642	0.1388
p-value	(0.0803)	(0.0493)	(0.0496)
CMistakes;DAction	0.361	0.366	0.2731
p-value	(0)	(0)	(0)
CMistakes;PExpectations	0.9247	0.9277	0.8018
p-value	(0)	(0)	(0)
CMistakes;PCriticism	0.2593	0.2908	0.2218
p-value	(0.0017)	(4e-04)	(3e-04)
CMistakes;PStandards	0.4575	0.4311	0.3181
p-value	(0)	(0)	(0)
DAction;PExpectations	0.2938	0.2987	0.2227
p-value	(4e-04)	(3e-04)	(2e-04)
DAction;PCriticism	0.106	0.0853	0.0618
p-value	(0.2059)	(0.3096)	(0.3229)
DAction;PStandards	-0.0569	-0.0184	-0.013
p-value	(0.4985)	(0.8267)	(0.8312)
PExpectations;PCriticism	0.4396	0.3919	0.2981
p-value	(0)	(0)	(0)
PExpectations;PStandards	0.474	0.4625	0.3395
p-value	(0)	(0)	(0)
PCriticism;PStandards	0.1825	0.1602	0.1218
p-value	(0.0286)	(0.0551)	(0.0469)

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = kendall ;

Parameters (R input):

par1 = kendall ;

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