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R Software Module

Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Sat, 18 Dec 2010 14:44:41 +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/18/t1292683384bolt4k7dapg9g48.htm/, Retrieved Tue, 30 Apr 2024 07:07:25 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=112014, Retrieved Tue, 30 Apr 2024 07:07:25 +0000

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User-defined keywords

Estimated Impact

131

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

-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
-   PD  [Kendall tau Correlation Matrix] [Pearson Correlati...] [2010-12-10 18:48:26] [6ca0fc48dd5333d51a15728999009c83]
-   P     [Kendall tau Correlation Matrix] [Kendall Tau Corre...] [2010-12-11 06:56:04] [6ca0fc48dd5333d51a15728999009c83]
- R  D        [Kendall tau Correlation Matrix] [Paper Kendall Tau...] [2010-12-18 14:44:41] [b4ba846736d082ffaee409a197f454c7] [Current]
-   P           [Kendall tau Correlation Matrix] [Paper Pearson Cor...] [2010-12-18 15:17:54] [6ca0fc48dd5333d51a15728999009c83] 
-   P             [Kendall tau Correlation Matrix] [Paper Kendall Tau...] [2010-12-19 12:12:09] [6ca0fc48dd5333d51a15728999009c83] 

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Dataseries X:

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Boxplots

69	24	14	11	12	24	26
53	25	11	7	8	25	23
43	17	6	17	8	30	25
60	18	12	10	8	19	23
49	18	8	12	9	22	19
62	16	10	12	7	22	29
45	20	10	11	4	25	25
50	16	11	11	11	23	21
75	17	11	13	7	21	25
82	18	16	12	7	17	22
60	23	13	14	12	19	24
59	30	12	16	10	19	18
21	23	8	11	10	15	22
40	18	12	10	8	16	15
62	22	11	13	11	24	18
54	15	11	11	8	23	22
47	20	9	15	6	25	24
59	31	14	17	11	23	20
37	20	10	10	8	26	23
43	15	12	11	8	20	25
48	30	9	15	9	27	26
79	32	16	9	6	29	26
62	19	20	8	7	19	25
16	25	7	18	11	35	17
38	22	9	16	9	24	23
58	25	8	12	7	32	25
60	19	9	13	8	27	21
72	14	15	13	8	14	16
67	19	11	11	8	20	28
55	19	10	12	7	17	21
47	23	10	12	8	20	21
59	31	14	10	8	18	23
49	17	9	17	9	25	21
47	12	4	15	4	27	28
57	26	13	12	8	24	29
39	21	10	13	6	24	24
49	28	11	13	6	25	22
26	23	10	15	10	23	21
53	33	14	9	6	32	24
75	26	16	5	4	23	24
65	27	15	11	9	23	21
49	21	9	9	9	22	20
48	18	9	12	8	21	24
45	13	14	13	6	21	25
31	17	9	11	5	23	26
67	18	12	13	9	21	13
61	26	11	18	5	29	18
49	24	9	13	10	19	15
69	21	12	14	9	22	24
54	21	9	13	9	19	24
80	29	11	9	5	31	30
57	12	7	7	4	22	28
34	10	10	11	5	19	23
69	23	14	8	5	19	27
44	20	11	11	8	25	25
70	15	8	11	8	14	12
51	33	11	9	6	28	22
66	16	10	12	7	22	29
18	18	6	11	8	17	26
74	21	9	14	13	19	21
59	25	16	18	16	26	24
48	20	8	17	7	22	24
55	32	12	18	12	28	22
44	24	10	9	6	25	29
56	19	12	10	8	23	29
65	16	11	9	5	17	23
77	17	14	12	6	15	21
46	29	11	7	4	26	22
70	13	16	12	5	17	22
39	16	8	15	9	23	24
55	19	9	12	7	18	21
44	28	8	24	20	30	20
45	20	11	8	4	13	13
45	11	6	6	4	15	16
25	26	14	14	8	17	24
49	18	13	8	9	24	24
65	38	11	21	7	29	29
45	17	9	12	9	24	25
71	28	14	11	8	24	24
48	18	10	14	9	21	26
41	20	11	11	8	24	26
40	31	8	11	8	22	24
64	29	13	18	12	21	21
56	29	14	18	10	26	30
52	15	14	9	8	23	29
41	22	10	12	8	26	27
45	21	10	12	8	16	23
42	20	10	11	4	25	25
54	31	16	14	9	21	25
40	22	10	15	6	22	20
40	17	9	16	5	25	23
51	21	12	13	8	19	22
48	26	9	15	6	25	25
80	34	16	18	11	21	20
38	19	9	11	10	21	27
57	15	7	12	6	19	21
51	20	10	12	8	20	28
46	15	8	6	6	20	25
58	30	14	9	9	23	14
67	23	14	13	10	25	27
72	29	16	11	6	27	24
26	10	5	8	6	19	24
54	20	8	16	10	25	24
53	21	11	16	7	20	24
69	18	10	15	8	14	17
64	28	16	16	8	24	24
47	22	9	14	9	25	23
43	25	14	11	5	17	15
66	24	14	24	20	21	10
54	28	12	16	14	27	22
62	20	11	20	13	24	20
52	16	9	12	8	16	21
64	31	9	17	9	25	19
55	20	9	11	7	21	20
74	31	10	21	12	32	26
32	13	8	12	7	14	19
38	9	6	8	11	29	23
66	22	14	14	11	25	19
37	17	9	11	5	23	26
26	15	8	10	4	22	24
64	22	10	13	8	18	19
28	19	6	17	8	25	14
65	14	11	12	7	17	16
48	18	8	15	10	21	22
44	28	8	12	7	20	22
64	25	12	12	7	29	23
39	21	13	17	11	23	22
50	18	13	12	6	19	20
52	20	14	14	10	18	24
48	18	12	10	8	19	23
70	20	11	17	8	21	23
66	26	13	20	10	26	22
61	29	15	18	11	23	23
31	16	8	13	5	21	24
61	21	15	7	5	21	24
54	17	8	12	9	21	24
34	19	9	9	7	21	23
62	23	14	11	10	20	29
47	20	7	11	9	26	22
52	23	14	17	7	25	21
37	9	13	10	6	19	25
46	28	8	16	12	18	24
61	25	14	15	11	22	21
70	25	14	15	9	22	24
63	33	14	11	8	26	25
34	21	8	9	11	24	20
46	16	8	9	4	18	23
40	22	9	14	6	19	12
30	22	8	14	10	20	20
35	29	10	12	8	25	23
51	30	12	15	10	29	22
56	21	8	10	7	18	17
44	18	12	10	8	19	23
58	16	9	12	9	10	13

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	'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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112014&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112014&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112014&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	'Gwilym Jenkins' @ 72.249.127.135

Correlations for all pairs of data series (method=kendall)
	Anxiety	Concern	Doubts	Pexpectations	Pcriticism	Standards	Organization
Anxiety	1	0.165	0.407	0.088	0.095	0	-0.021
Concern	0.165	1	0.281	0.218	0.234	0.316	-0.014
Doubts	0.407	0.281	1	0.003	0.068	0.004	0.059
Pexpectations	0.088	0.218	0.003	1	0.377	0.168	-0.138
Pcriticism	0.095	0.234	0.068	0.377	1	0.102	-0.14
Standards	0	0.316	0.004	0.168	0.102	1	0.212
Organization	-0.021	-0.014	0.059	-0.138	-0.14	0.212	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Anxiety & Concern & Doubts & Pexpectations & Pcriticism & Standards & Organization \tabularnewline
Anxiety & 1 & 0.165 & 0.407 & 0.088 & 0.095 & 0 & -0.021 \tabularnewline
Concern & 0.165 & 1 & 0.281 & 0.218 & 0.234 & 0.316 & -0.014 \tabularnewline
Doubts & 0.407 & 0.281 & 1 & 0.003 & 0.068 & 0.004 & 0.059 \tabularnewline
Pexpectations & 0.088 & 0.218 & 0.003 & 1 & 0.377 & 0.168 & -0.138 \tabularnewline
Pcriticism & 0.095 & 0.234 & 0.068 & 0.377 & 1 & 0.102 & -0.14 \tabularnewline
Standards & 0 & 0.316 & 0.004 & 0.168 & 0.102 & 1 & 0.212 \tabularnewline
Organization & -0.021 & -0.014 & 0.059 & -0.138 & -0.14 & 0.212 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112014&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Anxiety[/C][C]Concern[/C][C]Doubts[/C][C]Pexpectations[/C][C]Pcriticism[/C][C]Standards[/C][C]Organization[/C][/ROW]
[ROW][C]Anxiety[/C][C]1[/C][C]0.165[/C][C]0.407[/C][C]0.088[/C][C]0.095[/C][C]0[/C][C]-0.021[/C][/ROW]
[ROW][C]Concern[/C][C]0.165[/C][C]1[/C][C]0.281[/C][C]0.218[/C][C]0.234[/C][C]0.316[/C][C]-0.014[/C][/ROW]
[ROW][C]Doubts[/C][C]0.407[/C][C]0.281[/C][C]1[/C][C]0.003[/C][C]0.068[/C][C]0.004[/C][C]0.059[/C][/ROW]
[ROW][C]Pexpectations[/C][C]0.088[/C][C]0.218[/C][C]0.003[/C][C]1[/C][C]0.377[/C][C]0.168[/C][C]-0.138[/C][/ROW]
[ROW][C]Pcriticism[/C][C]0.095[/C][C]0.234[/C][C]0.068[/C][C]0.377[/C][C]1[/C][C]0.102[/C][C]-0.14[/C][/ROW]
[ROW][C]Standards[/C][C]0[/C][C]0.316[/C][C]0.004[/C][C]0.168[/C][C]0.102[/C][C]1[/C][C]0.212[/C][/ROW]
[ROW][C]Organization[/C][C]-0.021[/C][C]-0.014[/C][C]0.059[/C][C]-0.138[/C][C]-0.14[/C][C]0.212[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112014&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112014&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)
	Anxiety	Concern	Doubts	Pexpectations	Pcriticism	Standards	Organization
Anxiety	1	0.165	0.407	0.088	0.095	0	-0.021
Concern	0.165	1	0.281	0.218	0.234	0.316	-0.014
Doubts	0.407	0.281	1	0.003	0.068	0.004	0.059
Pexpectations	0.088	0.218	0.003	1	0.377	0.168	-0.138
Pcriticism	0.095	0.234	0.068	0.377	1	0.102	-0.14
Standards	0	0.316	0.004	0.168	0.102	1	0.212
Organization	-0.021	-0.014	0.059	-0.138	-0.14	0.212	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Anxiety;Concern	0.2632	0.2387	0.1648
p-value	(0.001)	(0.0029)	(0.0033)
Anxiety;Doubts	0.5502	0.5474	0.4069
p-value	(0)	(0)	(0)
Anxiety;Pexpectations	0.0984	0.123	0.088
p-value	(0.2245)	(0.1285)	(0.1236)
Anxiety;Pcriticism	0.1096	0.1291	0.0948
p-value	(0.1759)	(0.1106)	(0.1018)
Anxiety;Standards	0.0021	-0.0055	-1e-04
p-value	(0.9793)	(0.9455)	(0.9987)
Anxiety;Organization	0.0119	-0.0184	-0.0212
p-value	(0.8839)	(0.8208)	(0.7095)
Concern;Doubts	0.3774	0.3718	0.2808
p-value	(0)	(0)	(0)
Concern;Pexpectations	0.3322	0.2891	0.2176
p-value	(0)	(3e-04)	(2e-04)
Concern;Pcriticism	0.2888	0.3106	0.2344
p-value	(3e-04)	(1e-04)	(1e-04)
Concern;Standards	0.4458	0.4296	0.3161
p-value	(0)	(0)	(0)
Concern;Organization	0.0408	-0.0159	-0.014
p-value	(0.6157)	(0.8448)	(0.8084)
Doubts;Pexpectations	0.0135	0.0095	0.0034
p-value	(0.8683)	(0.9073)	(0.9545)
Doubts;Pcriticism	0.1144	0.0924	0.0678
p-value	(0.1578)	(0.2545)	(0.2608)
Doubts;Standards	-0.0264	0.0047	0.0041
p-value	(0.7454)	(0.9534)	(0.9446)
Doubts;Organization	0.0702	0.0782	0.0594
p-value	(0.3869)	(0.3352)	(0.3169)
Pexpectations;Pcriticism	0.5932	0.4788	0.3775
p-value	(0)	(0)	(0)
Pexpectations;Standards	0.274	0.2214	0.1675
p-value	(6e-04)	(0.0058)	(0.0041)
Pexpectations;Organization	-0.1542	-0.1852	-0.1382
p-value	(0.0561)	(0.0215)	(0.0189)
Pcriticism;Standards	0.1602	0.1353	0.1019
p-value	(0.0472)	(0.0942)	(0.0856)
Pcriticism;Organization	-0.1912	-0.1907	-0.1404
p-value	(0.0175)	(0.0179)	(0.0187)
Standards;Organization	0.3418	0.2898	0.2121
p-value	(0)	(3e-04)	(3e-04)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Anxiety;Concern & 0.2632 & 0.2387 & 0.1648 \tabularnewline
p-value & (0.001) & (0.0029) & (0.0033) \tabularnewline
Anxiety;Doubts & 0.5502 & 0.5474 & 0.4069 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Anxiety;Pexpectations & 0.0984 & 0.123 & 0.088 \tabularnewline
p-value & (0.2245) & (0.1285) & (0.1236) \tabularnewline
Anxiety;Pcriticism & 0.1096 & 0.1291 & 0.0948 \tabularnewline
p-value & (0.1759) & (0.1106) & (0.1018) \tabularnewline
Anxiety;Standards & 0.0021 & -0.0055 & -1e-04 \tabularnewline
p-value & (0.9793) & (0.9455) & (0.9987) \tabularnewline
Anxiety;Organization & 0.0119 & -0.0184 & -0.0212 \tabularnewline
p-value & (0.8839) & (0.8208) & (0.7095) \tabularnewline
Concern;Doubts & 0.3774 & 0.3718 & 0.2808 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Concern;Pexpectations & 0.3322 & 0.2891 & 0.2176 \tabularnewline
p-value & (0) & (3e-04) & (2e-04) \tabularnewline
Concern;Pcriticism & 0.2888 & 0.3106 & 0.2344 \tabularnewline
p-value & (3e-04) & (1e-04) & (1e-04) \tabularnewline
Concern;Standards & 0.4458 & 0.4296 & 0.3161 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Concern;Organization & 0.0408 & -0.0159 & -0.014 \tabularnewline
p-value & (0.6157) & (0.8448) & (0.8084) \tabularnewline
Doubts;Pexpectations & 0.0135 & 0.0095 & 0.0034 \tabularnewline
p-value & (0.8683) & (0.9073) & (0.9545) \tabularnewline
Doubts;Pcriticism & 0.1144 & 0.0924 & 0.0678 \tabularnewline
p-value & (0.1578) & (0.2545) & (0.2608) \tabularnewline
Doubts;Standards & -0.0264 & 0.0047 & 0.0041 \tabularnewline
p-value & (0.7454) & (0.9534) & (0.9446) \tabularnewline
Doubts;Organization & 0.0702 & 0.0782 & 0.0594 \tabularnewline
p-value & (0.3869) & (0.3352) & (0.3169) \tabularnewline
Pexpectations;Pcriticism & 0.5932 & 0.4788 & 0.3775 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Pexpectations;Standards & 0.274 & 0.2214 & 0.1675 \tabularnewline
p-value & (6e-04) & (0.0058) & (0.0041) \tabularnewline
Pexpectations;Organization & -0.1542 & -0.1852 & -0.1382 \tabularnewline
p-value & (0.0561) & (0.0215) & (0.0189) \tabularnewline
Pcriticism;Standards & 0.1602 & 0.1353 & 0.1019 \tabularnewline
p-value & (0.0472) & (0.0942) & (0.0856) \tabularnewline
Pcriticism;Organization & -0.1912 & -0.1907 & -0.1404 \tabularnewline
p-value & (0.0175) & (0.0179) & (0.0187) \tabularnewline
Standards;Organization & 0.3418 & 0.2898 & 0.2121 \tabularnewline
p-value & (0) & (3e-04) & (3e-04) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=112014&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]Anxiety;Concern[/C][C]0.2632[/C][C]0.2387[/C][C]0.1648[/C][/ROW]
[ROW][C]p-value[/C][C](0.001)[/C][C](0.0029)[/C][C](0.0033)[/C][/ROW]
[ROW][C]Anxiety;Doubts[/C][C]0.5502[/C][C]0.5474[/C][C]0.4069[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Anxiety;Pexpectations[/C][C]0.0984[/C][C]0.123[/C][C]0.088[/C][/ROW]
[ROW][C]p-value[/C][C](0.2245)[/C][C](0.1285)[/C][C](0.1236)[/C][/ROW]
[ROW][C]Anxiety;Pcriticism[/C][C]0.1096[/C][C]0.1291[/C][C]0.0948[/C][/ROW]
[ROW][C]p-value[/C][C](0.1759)[/C][C](0.1106)[/C][C](0.1018)[/C][/ROW]
[ROW][C]Anxiety;Standards[/C][C]0.0021[/C][C]-0.0055[/C][C]-1e-04[/C][/ROW]
[ROW][C]p-value[/C][C](0.9793)[/C][C](0.9455)[/C][C](0.9987)[/C][/ROW]
[ROW][C]Anxiety;Organization[/C][C]0.0119[/C][C]-0.0184[/C][C]-0.0212[/C][/ROW]
[ROW][C]p-value[/C][C](0.8839)[/C][C](0.8208)[/C][C](0.7095)[/C][/ROW]
[ROW][C]Concern;Doubts[/C][C]0.3774[/C][C]0.3718[/C][C]0.2808[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Concern;Pexpectations[/C][C]0.3322[/C][C]0.2891[/C][C]0.2176[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](3e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]Concern;Pcriticism[/C][C]0.2888[/C][C]0.3106[/C][C]0.2344[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Concern;Standards[/C][C]0.4458[/C][C]0.4296[/C][C]0.3161[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Concern;Organization[/C][C]0.0408[/C][C]-0.0159[/C][C]-0.014[/C][/ROW]
[ROW][C]p-value[/C][C](0.6157)[/C][C](0.8448)[/C][C](0.8084)[/C][/ROW]
[ROW][C]Doubts;Pexpectations[/C][C]0.0135[/C][C]0.0095[/C][C]0.0034[/C][/ROW]
[ROW][C]p-value[/C][C](0.8683)[/C][C](0.9073)[/C][C](0.9545)[/C][/ROW]
[ROW][C]Doubts;Pcriticism[/C][C]0.1144[/C][C]0.0924[/C][C]0.0678[/C][/ROW]
[ROW][C]p-value[/C][C](0.1578)[/C][C](0.2545)[/C][C](0.2608)[/C][/ROW]
[ROW][C]Doubts;Standards[/C][C]-0.0264[/C][C]0.0047[/C][C]0.0041[/C][/ROW]
[ROW][C]p-value[/C][C](0.7454)[/C][C](0.9534)[/C][C](0.9446)[/C][/ROW]
[ROW][C]Doubts;Organization[/C][C]0.0702[/C][C]0.0782[/C][C]0.0594[/C][/ROW]
[ROW][C]p-value[/C][C](0.3869)[/C][C](0.3352)[/C][C](0.3169)[/C][/ROW]
[ROW][C]Pexpectations;Pcriticism[/C][C]0.5932[/C][C]0.4788[/C][C]0.3775[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Pexpectations;Standards[/C][C]0.274[/C][C]0.2214[/C][C]0.1675[/C][/ROW]
[ROW][C]p-value[/C][C](6e-04)[/C][C](0.0058)[/C][C](0.0041)[/C][/ROW]
[ROW][C]Pexpectations;Organization[/C][C]-0.1542[/C][C]-0.1852[/C][C]-0.1382[/C][/ROW]
[ROW][C]p-value[/C][C](0.0561)[/C][C](0.0215)[/C][C](0.0189)[/C][/ROW]
[ROW][C]Pcriticism;Standards[/C][C]0.1602[/C][C]0.1353[/C][C]0.1019[/C][/ROW]
[ROW][C]p-value[/C][C](0.0472)[/C][C](0.0942)[/C][C](0.0856)[/C][/ROW]
[ROW][C]Pcriticism;Organization[/C][C]-0.1912[/C][C]-0.1907[/C][C]-0.1404[/C][/ROW]
[ROW][C]p-value[/C][C](0.0175)[/C][C](0.0179)[/C][C](0.0187)[/C][/ROW]
[ROW][C]Standards;Organization[/C][C]0.3418[/C][C]0.2898[/C][C]0.2121[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](3e-04)[/C][C](3e-04)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=112014&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=112014&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
Anxiety;Concern	0.2632	0.2387	0.1648
p-value	(0.001)	(0.0029)	(0.0033)
Anxiety;Doubts	0.5502	0.5474	0.4069
p-value	(0)	(0)	(0)
Anxiety;Pexpectations	0.0984	0.123	0.088
p-value	(0.2245)	(0.1285)	(0.1236)
Anxiety;Pcriticism	0.1096	0.1291	0.0948
p-value	(0.1759)	(0.1106)	(0.1018)
Anxiety;Standards	0.0021	-0.0055	-1e-04
p-value	(0.9793)	(0.9455)	(0.9987)
Anxiety;Organization	0.0119	-0.0184	-0.0212
p-value	(0.8839)	(0.8208)	(0.7095)
Concern;Doubts	0.3774	0.3718	0.2808
p-value	(0)	(0)	(0)
Concern;Pexpectations	0.3322	0.2891	0.2176
p-value	(0)	(3e-04)	(2e-04)
Concern;Pcriticism	0.2888	0.3106	0.2344
p-value	(3e-04)	(1e-04)	(1e-04)
Concern;Standards	0.4458	0.4296	0.3161
p-value	(0)	(0)	(0)
Concern;Organization	0.0408	-0.0159	-0.014
p-value	(0.6157)	(0.8448)	(0.8084)
Doubts;Pexpectations	0.0135	0.0095	0.0034
p-value	(0.8683)	(0.9073)	(0.9545)
Doubts;Pcriticism	0.1144	0.0924	0.0678
p-value	(0.1578)	(0.2545)	(0.2608)
Doubts;Standards	-0.0264	0.0047	0.0041
p-value	(0.7454)	(0.9534)	(0.9446)
Doubts;Organization	0.0702	0.0782	0.0594
p-value	(0.3869)	(0.3352)	(0.3169)
Pexpectations;Pcriticism	0.5932	0.4788	0.3775
p-value	(0)	(0)	(0)
Pexpectations;Standards	0.274	0.2214	0.1675
p-value	(6e-04)	(0.0058)	(0.0041)
Pexpectations;Organization	-0.1542	-0.1852	-0.1382
p-value	(0.0561)	(0.0215)	(0.0189)
Pcriticism;Standards	0.1602	0.1353	0.1019
p-value	(0.0472)	(0.0942)	(0.0856)
Pcriticism;Organization	-0.1912	-0.1907	-0.1404
p-value	(0.0175)	(0.0179)	(0.0187)
Standards;Organization	0.3418	0.2898	0.2121
p-value	(0)	(3e-04)	(3e-04)

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