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R Software Module

rwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Wed, 29 Dec 2010 17:58:02 +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/29/t1293645378yx4jzkz0k649oj7.htm/, Retrieved Fri, 03 May 2024 10:26:34 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=117003, Retrieved Fri, 03 May 2024 10:26:34 +0000

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No (this computation is public)

User-defined keywords

Estimated Impact

131

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

-     [Recursive Partitioning (Regression Trees)] [] [2010-12-05 18:59:57] [b98453cac15ba1066b407e146608df68]
-   PD  [Recursive Partitioning (Regression Trees)] [recursive partiti...] [2010-12-24 11:07:38] [d6e648f00513dd750579ba7880c5fbf5]
-   PD    [Recursive Partitioning (Regression Trees)] [recursive partiti...] [2010-12-24 13:42:21] [d6e648f00513dd750579ba7880c5fbf5]
- RMPD      [Kendall tau Correlation Matrix] [kendall affiliatie] [2010-12-27 16:41:59] [d6e648f00513dd750579ba7880c5fbf5]
-   P         [Kendall tau Correlation Matrix] [] [2010-12-27 19:42:42] [e45804683e9a4263debf179d74e04a01]
-                 [Kendall tau Correlation Matrix] [] [2010-12-29 17:58:02] [15be6a7406d91c9912c2afdb984c54ee] [Current]

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Dataseries X:

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Boxplots

22	1	27	5	26	49	35
23	1	36	4	25	45	34
27	1	25	4	17	54	13
19	1	27	3	37	36	35
15	2	25	3	35	36	28
29	2	44	3	15	53	32
25	1	50	4	27	46	35
25	1	41	4	36	42	36
21	1	48	5	25	41	27
22	2	43	4	30	45	29
22	2	47	2	27	47	27
24	2	41	3	33	42	28
22	1	44	2	29	45	29
23	2	47	5	30	40	28
19	2	40	3	25	45	30
19	2	46	3	23	40	25
21	1	28	3	26	42	15
20	1	56	3	24	45	33
23	2	49	4	35	47	31
11	2	25	4	39	31	37
21	2	41	4	23	46	37
19	2	26	3	32	34	34
21	1	50	5	29	43	32
23	1	47	4	26	45	21
19	1	52	2	21	42	25
22	2	37	5	35	51	32
19	2	41	3	23	44	28
23	1	45	4	21	47	22
29	2	26	4	28	47	25
27	1	NA	3	30	41	26
18	1	52	4	21	44	34
30	1	46	2	29	51	34
26	1	58	3	28	46	36
20	1	54	5	19	47	36
22	1	29	3	26	46	26
20	2	50	3	33	38	26
21	1	43	2	34	50	34
18	2	30	3	33	48	33
21	2	47	2	40	36	31
27	1	45	3	24	51	33
NA	2	48	1	35	35	22
18	2	48	3	35	49	29
24	2	26	4	32	38	24
24	1	46	5	20	47	37
17	2	NA	3	35	36	32
22	2	50	3	35	47	23
21	1	25	4	21	46	29
23	1	47	2	33	43	35
19	2	47	2	40	53	20
22	1	41	3	22	55	28
19	2	45	2	35	39	26
24	2	41	4	20	55	36
22	2	45	5	28	41	26
26	2	40	3	46	33	33
22	1	29	4	18	52	25
23	2	34	5	22	42	29
27	1	45	5	20	56	32
21	2	52	3	25	46	35
16	2	41	4	31	33	24
21	2	48	3	21	51	31
18	2	45	3	23	46	29
25	1	54	2	26	46	27
20	2	25	3	34	50	29
24	2	26	4	31	46	29
20	1	28	4	23	51	27
24	2	50	4	31	48	34
23	2	48	4	26	44	32
23	2	51	3	36	38	31
22	2	53	3	28	42	31
22	1	37	3	34	39	31
20	1	56	2	25	45	16
14	1	43	3	33	31	25
21	1	34	3	46	29	27
23	1	42	3	24	48	32
17	2	32	3	32	38	28
25	2	31	5	33	55	25
10	1	46	3	42	32	25
25	2	30	5	17	51	36
23	2	47	4	36	53	36
27	2	33	4	40	47	36
16	1	25	4	30	45	27
19	1	25	5	19	33	29
23	2	21	4	33	49	32
19	2	36	5	35	46	29
19	2	50	3	23	42	31
26	2	48	3	15	56	34
19	2	48	2	38	35	27
22	1	25	3	37	40	28
21	1	48	4	23	44	32
22	2	49	5	41	46	33
20	1	27	5	34	46	29
20	1	28	3	38	39	32
20	2	43	2	45	35	35
21	2	48	3	27	48	33
21	2	48	4	46	42	27
14	1	25	1	26	39	16
28	2	49	4	44	39	32
24	1	26	3	36	41	26
24	1	51	3	20	52	32
24	2	25	4	44	45	38
19	1	29	3	27	42	24
19	1	29	4	27	44	26
14	1	43	2	41	33	19
29	2	46	3	30	42	37
22	1	44	3	33	46	25
21	1	25	3	37	45	24
15	1	51	2	30	40	23
23	1	42	5	20	48	28
24	2	53	5	44	32	38
20	1	25	4	20	53	28
25	2	49	2	33	39	28
25	1	51	3	31	45	26
19	2	20	3	23	36	21
23	2	44	3	33	38	35
22	2	38	4	33	49	31
19	1	46	5	32	46	34
24	2	42	4	25	43	30
21	1	29	NA	22	37	30
19	2	46	4	16	48	24
21	2	49	2	36	45	27
18	2	51	3	35	32	26
24	1	38	3	25	46	30
7	1	41	1	27	20	15
24	2	47	3	32	42	28
24	2	44	3	36	45	34
23	2	47	3	51	29	29
24	2	46	3	30	51	26
27	1	44	4	20	55	31
20	2	28	3	29	50	28
20	2	47	4	26	44	33
22	2	28	4	20	41	32
19	1	41	5	40	40	33
18	2	45	4	29	47	31
14	2	46	4	32	42	37
24	1	46	4	33	40	27
29	2	22	3	32	51	19
25	2	33	3	34	43	27
24	1	41	4	24	45	31
20	2	47	5	25	41	38
18	1	25	3	41	41	22
25	2	42	3	39	37	35
21	2	47	3	21	46	35
21	2	50	3	38	38	30
21	1	55	5	28	39	41
23	1	21	3	37	45	25
18	1	NA	3	26	46	28
23	1	52	3	30	39	45
13	2	49	4	25	21	21
23	2	46	4	38	31	33
17	1	NA	4	31	35	25
24	2	45	3	31	49	29
16	2	52	3	27	40	31
23	1	NA	3	21	45	29
20	2	40	4	26	46	31
24	2	49	4	37	45	31
15	1	38	5	28	34	25
20	1	32	5	29	41	27
27	2	46	4	33	43	26
27	2	32	3	41	45	26
19	2	41	3	19	48	23
22	2	43	3	37	43	27
16	1	44	4	36	45	24
21	1	47	5	27	45	35
18	2	28	3	33	34	24
22	1	52	1	29	40	32
18	1	27	2	42	40	24
24	2	45	5	27	55	24
24	1	27	4	47	44	38
19	1	25	4	17	44	36
26	1	28	4	34	48	24
28	1	25	3	32	51	18
23	1	52	4	25	49	34
22	1	44	3	27	33	23
20	2	43	3	37	43	35
20	2	47	4	34	44	22
27	2	52	4	27	44	34
19	2	40	2	37	41	28
23	1	42	3	32	45	34
19	1	45	5	26	44	32
21	1	45	2	29	44	24
13	1	50	5	28	40	34
18	1	49	3	19	48	33
19	1	52	2	46	49	33
23	2	48	3	31	46	29
30	2	51	3	42	49	38
22	2	49	4	33	55	24
23	2	31	4	39	51	25
22	2	43	3	27	46	37
22	2	31	3	35	37	33
23	2	28	4	23	43	30
27	2	43	4	32	41	22
23	2	31	3	22	45	28
18	2	51	3	17	39	24
24	2	58	4	35	38	33
19	2	25	5	34	41	37

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	8 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 & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117003&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]8 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=117003&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117003&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	8 seconds
R Server	'George Udny Yule' @ 72.249.76.132

Correlations for all pairs of data series (method=kendall)
	Behoefte_affiliatie	geslacht	leeftijd	opleiding	Neuroticisme	Extraversie	Openheid
Behoefte_affiliatie	1	0.074	0.034	0.086	0.006	0.266	0.14
geslacht	0.074	1	0.074	-0.007	0.182	-0.033	0.074
leeftijd	0.034	0.074	1	-0.086	-0.04	-0.016	0.142
opleiding	0.086	-0.007	-0.086	1	-0.144	0.121	0.185
Neuroticisme	0.006	0.182	-0.04	-0.144	1	-0.252	0.004
Extraversie	0.266	-0.033	-0.016	0.121	-0.252	1	0.069
Openheid	0.14	0.074	0.142	0.185	0.004	0.069	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Behoefte_affiliatie & geslacht & leeftijd & opleiding & Neuroticisme & Extraversie & Openheid \tabularnewline
Behoefte_affiliatie & 1 & 0.074 & 0.034 & 0.086 & 0.006 & 0.266 & 0.14 \tabularnewline
geslacht & 0.074 & 1 & 0.074 & -0.007 & 0.182 & -0.033 & 0.074 \tabularnewline
leeftijd & 0.034 & 0.074 & 1 & -0.086 & -0.04 & -0.016 & 0.142 \tabularnewline
opleiding & 0.086 & -0.007 & -0.086 & 1 & -0.144 & 0.121 & 0.185 \tabularnewline
Neuroticisme & 0.006 & 0.182 & -0.04 & -0.144 & 1 & -0.252 & 0.004 \tabularnewline
Extraversie & 0.266 & -0.033 & -0.016 & 0.121 & -0.252 & 1 & 0.069 \tabularnewline
Openheid & 0.14 & 0.074 & 0.142 & 0.185 & 0.004 & 0.069 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117003&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Behoefte_affiliatie[/C][C]geslacht[/C][C]leeftijd[/C][C]opleiding[/C][C]Neuroticisme[/C][C]Extraversie[/C][C]Openheid[/C][/ROW]
[ROW][C]Behoefte_affiliatie[/C][C]1[/C][C]0.074[/C][C]0.034[/C][C]0.086[/C][C]0.006[/C][C]0.266[/C][C]0.14[/C][/ROW]
[ROW][C]geslacht[/C][C]0.074[/C][C]1[/C][C]0.074[/C][C]-0.007[/C][C]0.182[/C][C]-0.033[/C][C]0.074[/C][/ROW]
[ROW][C]leeftijd[/C][C]0.034[/C][C]0.074[/C][C]1[/C][C]-0.086[/C][C]-0.04[/C][C]-0.016[/C][C]0.142[/C][/ROW]
[ROW][C]opleiding[/C][C]0.086[/C][C]-0.007[/C][C]-0.086[/C][C]1[/C][C]-0.144[/C][C]0.121[/C][C]0.185[/C][/ROW]
[ROW][C]Neuroticisme[/C][C]0.006[/C][C]0.182[/C][C]-0.04[/C][C]-0.144[/C][C]1[/C][C]-0.252[/C][C]0.004[/C][/ROW]
[ROW][C]Extraversie[/C][C]0.266[/C][C]-0.033[/C][C]-0.016[/C][C]0.121[/C][C]-0.252[/C][C]1[/C][C]0.069[/C][/ROW]
[ROW][C]Openheid[/C][C]0.14[/C][C]0.074[/C][C]0.142[/C][C]0.185[/C][C]0.004[/C][C]0.069[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117003&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117003&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)
	Behoefte_affiliatie	geslacht	leeftijd	opleiding	Neuroticisme	Extraversie	Openheid
Behoefte_affiliatie	1	0.074	0.034	0.086	0.006	0.266	0.14
geslacht	0.074	1	0.074	-0.007	0.182	-0.033	0.074
leeftijd	0.034	0.074	1	-0.086	-0.04	-0.016	0.142
opleiding	0.086	-0.007	-0.086	1	-0.144	0.121	0.185
Neuroticisme	0.006	0.182	-0.04	-0.144	1	-0.252	0.004
Extraversie	0.266	-0.033	-0.016	0.121	-0.252	1	0.069
Openheid	0.14	0.074	0.142	0.185	0.004	0.069	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
Behoefte_affiliatie;geslacht	0.107	0.0868	0.074
p-value	(0.1377)	(0.2286)	(0.2276)
Behoefte_affiliatie;leeftijd	0.0417	0.0481	0.0341
p-value	(0.5689)	(0.5113)	(0.5115)
Behoefte_affiliatie;opleiding	0.116	0.1132	0.0864
p-value	(0.1081)	(0.1171)	(0.1286)
Behoefte_affiliatie;Neuroticisme	-0.016	0.0075	0.006
p-value	(0.8246)	(0.9177)	(0.907)
Behoefte_affiliatie;Extraversie	0.4763	0.3603	0.2665
p-value	(0)	(0)	(0)
Behoefte_affiliatie;Openheid	0.2006	0.1895	0.1397
p-value	(0.005)	(0.0081)	(0.0067)
geslacht;leeftijd	0.0956	0.0886	0.074
p-value	(0.1896)	(0.224)	(0.2231)
geslacht;opleiding	1e-04	-0.0072	-0.0066
p-value	(0.9987)	(0.9212)	(0.9209)
geslacht;Neuroticisme	0.197	0.2188	0.1823
p-value	(0.0058)	(0.0021)	(0.0023)
geslacht;Extraversie	-0.0363	-0.0388	-0.0326
p-value	(0.6141)	(0.5898)	(0.5885)
geslacht;Openheid	0.1068	0.0882	0.0741
p-value	(0.1371)	(0.22)	(0.2191)
leeftijd;opleiding	-0.1072	-0.1109	-0.0858
p-value	(0.1419)	(0.1289)	(0.127)
leeftijd;Neuroticisme	-0.0455	-0.0555	-0.0397
p-value	(0.5333)	(0.4468)	(0.4326)
leeftijd;Extraversie	-0.0189	-0.023	-0.0157
p-value	(0.7962)	(0.7524)	(0.7581)
leeftijd;Openheid	0.2193	0.1935	0.1416
p-value	(0.0024)	(0.0075)	(0.0055)
opleiding;Neuroticisme	-0.1751	-0.1888	-0.1443
p-value	(0.0146)	(0.0084)	(0.0093)
opleiding;Extraversie	0.1821	0.1585	0.1208
p-value	(0.011)	(0.0273)	(0.0303)
opleiding;Openheid	0.2771	0.2354	0.1854
p-value	(1e-04)	(0.001)	(9e-04)
Neuroticisme;Extraversie	-0.3568	-0.3427	-0.2521
p-value	(0)	(0)	(0)
Neuroticisme;Openheid	0.0457	0.0047	0.0036
p-value	(0.5262)	(0.9477)	(0.9429)
Extraversie;Openheid	0.1059	0.0962	0.0692
p-value	(0.1408)	(0.1811)	(0.171)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Behoefte_affiliatie;geslacht & 0.107 & 0.0868 & 0.074 \tabularnewline
p-value & (0.1377) & (0.2286) & (0.2276) \tabularnewline
Behoefte_affiliatie;leeftijd & 0.0417 & 0.0481 & 0.0341 \tabularnewline
p-value & (0.5689) & (0.5113) & (0.5115) \tabularnewline
Behoefte_affiliatie;opleiding & 0.116 & 0.1132 & 0.0864 \tabularnewline
p-value & (0.1081) & (0.1171) & (0.1286) \tabularnewline
Behoefte_affiliatie;Neuroticisme & -0.016 & 0.0075 & 0.006 \tabularnewline
p-value & (0.8246) & (0.9177) & (0.907) \tabularnewline
Behoefte_affiliatie;Extraversie & 0.4763 & 0.3603 & 0.2665 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Behoefte_affiliatie;Openheid & 0.2006 & 0.1895 & 0.1397 \tabularnewline
p-value & (0.005) & (0.0081) & (0.0067) \tabularnewline
geslacht;leeftijd & 0.0956 & 0.0886 & 0.074 \tabularnewline
p-value & (0.1896) & (0.224) & (0.2231) \tabularnewline
geslacht;opleiding & 1e-04 & -0.0072 & -0.0066 \tabularnewline
p-value & (0.9987) & (0.9212) & (0.9209) \tabularnewline
geslacht;Neuroticisme & 0.197 & 0.2188 & 0.1823 \tabularnewline
p-value & (0.0058) & (0.0021) & (0.0023) \tabularnewline
geslacht;Extraversie & -0.0363 & -0.0388 & -0.0326 \tabularnewline
p-value & (0.6141) & (0.5898) & (0.5885) \tabularnewline
geslacht;Openheid & 0.1068 & 0.0882 & 0.0741 \tabularnewline
p-value & (0.1371) & (0.22) & (0.2191) \tabularnewline
leeftijd;opleiding & -0.1072 & -0.1109 & -0.0858 \tabularnewline
p-value & (0.1419) & (0.1289) & (0.127) \tabularnewline
leeftijd;Neuroticisme & -0.0455 & -0.0555 & -0.0397 \tabularnewline
p-value & (0.5333) & (0.4468) & (0.4326) \tabularnewline
leeftijd;Extraversie & -0.0189 & -0.023 & -0.0157 \tabularnewline
p-value & (0.7962) & (0.7524) & (0.7581) \tabularnewline
leeftijd;Openheid & 0.2193 & 0.1935 & 0.1416 \tabularnewline
p-value & (0.0024) & (0.0075) & (0.0055) \tabularnewline
opleiding;Neuroticisme & -0.1751 & -0.1888 & -0.1443 \tabularnewline
p-value & (0.0146) & (0.0084) & (0.0093) \tabularnewline
opleiding;Extraversie & 0.1821 & 0.1585 & 0.1208 \tabularnewline
p-value & (0.011) & (0.0273) & (0.0303) \tabularnewline
opleiding;Openheid & 0.2771 & 0.2354 & 0.1854 \tabularnewline
p-value & (1e-04) & (0.001) & (9e-04) \tabularnewline
Neuroticisme;Extraversie & -0.3568 & -0.3427 & -0.2521 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Neuroticisme;Openheid & 0.0457 & 0.0047 & 0.0036 \tabularnewline
p-value & (0.5262) & (0.9477) & (0.9429) \tabularnewline
Extraversie;Openheid & 0.1059 & 0.0962 & 0.0692 \tabularnewline
p-value & (0.1408) & (0.1811) & (0.171) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=117003&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]Behoefte_affiliatie;geslacht[/C][C]0.107[/C][C]0.0868[/C][C]0.074[/C][/ROW]
[ROW][C]p-value[/C][C](0.1377)[/C][C](0.2286)[/C][C](0.2276)[/C][/ROW]
[ROW][C]Behoefte_affiliatie;leeftijd[/C][C]0.0417[/C][C]0.0481[/C][C]0.0341[/C][/ROW]
[ROW][C]p-value[/C][C](0.5689)[/C][C](0.5113)[/C][C](0.5115)[/C][/ROW]
[ROW][C]Behoefte_affiliatie;opleiding[/C][C]0.116[/C][C]0.1132[/C][C]0.0864[/C][/ROW]
[ROW][C]p-value[/C][C](0.1081)[/C][C](0.1171)[/C][C](0.1286)[/C][/ROW]
[ROW][C]Behoefte_affiliatie;Neuroticisme[/C][C]-0.016[/C][C]0.0075[/C][C]0.006[/C][/ROW]
[ROW][C]p-value[/C][C](0.8246)[/C][C](0.9177)[/C][C](0.907)[/C][/ROW]
[ROW][C]Behoefte_affiliatie;Extraversie[/C][C]0.4763[/C][C]0.3603[/C][C]0.2665[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Behoefte_affiliatie;Openheid[/C][C]0.2006[/C][C]0.1895[/C][C]0.1397[/C][/ROW]
[ROW][C]p-value[/C][C](0.005)[/C][C](0.0081)[/C][C](0.0067)[/C][/ROW]
[ROW][C]geslacht;leeftijd[/C][C]0.0956[/C][C]0.0886[/C][C]0.074[/C][/ROW]
[ROW][C]p-value[/C][C](0.1896)[/C][C](0.224)[/C][C](0.2231)[/C][/ROW]
[ROW][C]geslacht;opleiding[/C][C]1e-04[/C][C]-0.0072[/C][C]-0.0066[/C][/ROW]
[ROW][C]p-value[/C][C](0.9987)[/C][C](0.9212)[/C][C](0.9209)[/C][/ROW]
[ROW][C]geslacht;Neuroticisme[/C][C]0.197[/C][C]0.2188[/C][C]0.1823[/C][/ROW]
[ROW][C]p-value[/C][C](0.0058)[/C][C](0.0021)[/C][C](0.0023)[/C][/ROW]
[ROW][C]geslacht;Extraversie[/C][C]-0.0363[/C][C]-0.0388[/C][C]-0.0326[/C][/ROW]
[ROW][C]p-value[/C][C](0.6141)[/C][C](0.5898)[/C][C](0.5885)[/C][/ROW]
[ROW][C]geslacht;Openheid[/C][C]0.1068[/C][C]0.0882[/C][C]0.0741[/C][/ROW]
[ROW][C]p-value[/C][C](0.1371)[/C][C](0.22)[/C][C](0.2191)[/C][/ROW]
[ROW][C]leeftijd;opleiding[/C][C]-0.1072[/C][C]-0.1109[/C][C]-0.0858[/C][/ROW]
[ROW][C]p-value[/C][C](0.1419)[/C][C](0.1289)[/C][C](0.127)[/C][/ROW]
[ROW][C]leeftijd;Neuroticisme[/C][C]-0.0455[/C][C]-0.0555[/C][C]-0.0397[/C][/ROW]
[ROW][C]p-value[/C][C](0.5333)[/C][C](0.4468)[/C][C](0.4326)[/C][/ROW]
[ROW][C]leeftijd;Extraversie[/C][C]-0.0189[/C][C]-0.023[/C][C]-0.0157[/C][/ROW]
[ROW][C]p-value[/C][C](0.7962)[/C][C](0.7524)[/C][C](0.7581)[/C][/ROW]
[ROW][C]leeftijd;Openheid[/C][C]0.2193[/C][C]0.1935[/C][C]0.1416[/C][/ROW]
[ROW][C]p-value[/C][C](0.0024)[/C][C](0.0075)[/C][C](0.0055)[/C][/ROW]
[ROW][C]opleiding;Neuroticisme[/C][C]-0.1751[/C][C]-0.1888[/C][C]-0.1443[/C][/ROW]
[ROW][C]p-value[/C][C](0.0146)[/C][C](0.0084)[/C][C](0.0093)[/C][/ROW]
[ROW][C]opleiding;Extraversie[/C][C]0.1821[/C][C]0.1585[/C][C]0.1208[/C][/ROW]
[ROW][C]p-value[/C][C](0.011)[/C][C](0.0273)[/C][C](0.0303)[/C][/ROW]
[ROW][C]opleiding;Openheid[/C][C]0.2771[/C][C]0.2354[/C][C]0.1854[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0.001)[/C][C](9e-04)[/C][/ROW]
[ROW][C]Neuroticisme;Extraversie[/C][C]-0.3568[/C][C]-0.3427[/C][C]-0.2521[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Neuroticisme;Openheid[/C][C]0.0457[/C][C]0.0047[/C][C]0.0036[/C][/ROW]
[ROW][C]p-value[/C][C](0.5262)[/C][C](0.9477)[/C][C](0.9429)[/C][/ROW]
[ROW][C]Extraversie;Openheid[/C][C]0.1059[/C][C]0.0962[/C][C]0.0692[/C][/ROW]
[ROW][C]p-value[/C][C](0.1408)[/C][C](0.1811)[/C][C](0.171)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=117003&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=117003&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
Behoefte_affiliatie;geslacht	0.107	0.0868	0.074
p-value	(0.1377)	(0.2286)	(0.2276)
Behoefte_affiliatie;leeftijd	0.0417	0.0481	0.0341
p-value	(0.5689)	(0.5113)	(0.5115)
Behoefte_affiliatie;opleiding	0.116	0.1132	0.0864
p-value	(0.1081)	(0.1171)	(0.1286)
Behoefte_affiliatie;Neuroticisme	-0.016	0.0075	0.006
p-value	(0.8246)	(0.9177)	(0.907)
Behoefte_affiliatie;Extraversie	0.4763	0.3603	0.2665
p-value	(0)	(0)	(0)
Behoefte_affiliatie;Openheid	0.2006	0.1895	0.1397
p-value	(0.005)	(0.0081)	(0.0067)
geslacht;leeftijd	0.0956	0.0886	0.074
p-value	(0.1896)	(0.224)	(0.2231)
geslacht;opleiding	1e-04	-0.0072	-0.0066
p-value	(0.9987)	(0.9212)	(0.9209)
geslacht;Neuroticisme	0.197	0.2188	0.1823
p-value	(0.0058)	(0.0021)	(0.0023)
geslacht;Extraversie	-0.0363	-0.0388	-0.0326
p-value	(0.6141)	(0.5898)	(0.5885)
geslacht;Openheid	0.1068	0.0882	0.0741
p-value	(0.1371)	(0.22)	(0.2191)
leeftijd;opleiding	-0.1072	-0.1109	-0.0858
p-value	(0.1419)	(0.1289)	(0.127)
leeftijd;Neuroticisme	-0.0455	-0.0555	-0.0397
p-value	(0.5333)	(0.4468)	(0.4326)
leeftijd;Extraversie	-0.0189	-0.023	-0.0157
p-value	(0.7962)	(0.7524)	(0.7581)
leeftijd;Openheid	0.2193	0.1935	0.1416
p-value	(0.0024)	(0.0075)	(0.0055)
opleiding;Neuroticisme	-0.1751	-0.1888	-0.1443
p-value	(0.0146)	(0.0084)	(0.0093)
opleiding;Extraversie	0.1821	0.1585	0.1208
p-value	(0.011)	(0.0273)	(0.0303)
opleiding;Openheid	0.2771	0.2354	0.1854
p-value	(1e-04)	(0.001)	(9e-04)
Neuroticisme;Extraversie	-0.3568	-0.3427	-0.2521
p-value	(0)	(0)	(0)
Neuroticisme;Openheid	0.0457	0.0047	0.0036
p-value	(0.5262)	(0.9477)	(0.9429)
Extraversie;Openheid	0.1059	0.0962	0.0692
p-value	(0.1408)	(0.1811)	(0.171)

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