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R Software Module

Patrick.Wessarwasp_pairs.wasp

Title produced by software

Kendall tau Correlation Matrix

Date of computation

Sun, 12 Dec 2010 20:17:17 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/12/t1292184938zcbpzmbs00c6hug.htm/, Retrieved Tue, 07 May 2024 15:45:36 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=108662, Retrieved Tue, 07 May 2024 15:45:36 +0000

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116

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-     [Kendall tau Correlation Matrix] [] [2010-12-05 18:04:16] [b98453cac15ba1066b407e146608df68]
- R PD  [Kendall tau Correlation Matrix] [WS10 Kendall] [2010-12-12 19:57:11] [65eb19f81eab2b6e672eafaed2a27190]
-    D      [Kendall tau Correlation Matrix] [WS10 Kendallcorrel] [2010-12-12 20:17:17] [8b27277f7b82c0354d659d066108e38e] [Current]

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Dataseries X:

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Histogram

Boxplots

5	2	1	3	73	62	66
12	1	1	1	58	54	54
11	1	1	3	68	41	82
6	1	1	3	62	49	61
12	1	2	3	65	49	65
11	1	1	3	81	72	77
12	1	1	1	73	78	66
7	2	4	3	64	58	66
8	1	1	3	68	58	66
13	1	1	1	51	23	48
12	1	1	1	68	39	57
13	1	1	3	61	63	80
12	1	1	1	69	46	60
12	1	3	3	73	58	70
11	2	1	3	61	39	85
12	2	1	1	62	44	59
12	1	1	1	63	49	72
12	1	6	1	69	57	70
11	2	1	3	47	76	74
13	2	1	1	66	63	70
9	1	1	3	58	18	51
11	2	1	3	63	40	70
11	1	1	1	69	59	71
11	2	1	3	59	62	72
9	1	1	1	59	70	50
11	2	1	4	63	65	69
12	2	1	3	65	56	73
12	1	1	3	65	45	66
10	2	1	3	71	57	73
12	1	4	3	60	50	58
12	2	1	1	81	40	78
12	1	1	3	67	58	83
9	2	1	3	66	49	76
9	1	1	3	62	49	77
12	1	1	3	63	27	79
14	2	1	1	73	51	71
12	2	1	3	55	75	79
11	1	1	1	59	65	60
9	1	1	2	64	47	73
11	2	1	3	63	49	70
7	1	1	1	64	65	42
15	1	1	1	73	61	74
11	1	1	3	54	46	68
12	1	1	3	76	69	83
12	2	2	1	74	55	62
9	2	1	3	63	78	79
12	2	1	3	73	58	61
11	2	1	3	67	34	86
11	2	2	3	68	67	64
8	1	4	3	66	45	75
7	2	1	1	62	68	59
12	2	4	3	71	49	82
8	1	1	2	63	19	61
10	1	1	1	75	72	69
12	1	2	2	77	59	60
15	2	3	3	62	46	59
12	1	1	3	74	56	81
12	2	2	1	67	45	65
12	2	1	3	56	53	60
12	2	1	1	60	67	60
8	2	1	3	58	73	45
10	1	1	3	65	46	75
14	2	1	3	49	70	84
10	1	1	3	61	38	77
12	2	1	3	66	54	64
14	2	1	3	64	46	54
6	2	1	1	65	46	72
11	1	1	3	46	45	56
10	2	1	3	65	47	67
14	2	1	3	81	25	81
12	1	1	1	72	63	73
13	2	1	1	65	46	67
11	2	1	3	74	69	72
11	1	1	3	59	43	69
12	1	1	1	69	49	71
13	2	2	3	58	39	77
12	1	1	1	71	65	63
8	2	1	3	79	54	49
12	2	1	3	68	50	74
11	1	1	3	66	42	76
10	2	1	3	62	45	65
12	1	1	3	69	50	65
11	2	2	7	63	55	69
12	1	1	1	62	38	71
12	1	1	3	61	40	68
10	2	1	1	65	51	49
12	1	1	3	64	49	86
12	2	1	1	56	39	63
11	2	1	3	56	57	77
10	1	1	3	48	30	52
12	1	1	1	74	51	73
11	1	1	1	69	48	63
12	1	4	3	62	56	54
12	1	1	2	73	66	56
10	1	1	1	64	72	54
11	1	1	1	57	28	61
10	1	1	2	57	52	70
11	2	1	2	60	53	68
11	2	1	1	61	70	63
12	1	1	2	72	63	76
11	1	1	3	57	46	69
11	1	2	3	51	45	71
7	1	1	2	63	68	39
12	1	1	3	54	54	54
8	1	1	1	72	60	64
10	1	1	3	62	50	70
12	1	1	2	68	66	76
11	1	1	3	62	56	71
13	2	1	2	63	54	73
9	1	1	3	77	72	81
11	1	1	1	57	34	50
13	1	1	1	57	39	42
8	1	1	3	61	66	66
12	1	1	3	65	27	77
11	1	1	3	63	63	62
11	2	1	1	66	65	66
12	1	1	3	68	63	69
13	1	1	3	72	49	72
11	1	1	1	68	42	67
10	1	1	1	59	51	59
10	1	4	3	56	50	66
10	1	1	1	62	64	68
12	2	1	3	72	68	72
12	2	1	3	68	66	73
13	1	1	3	67	59	69
11	1	2	1	54	32	57
11	2	1	1	69	62	55
12	1	2	3	61	52	72
9	1	1	3	55	34	68
11	2	1	3	75	63	83
12	1	1	3	55	48	74
12	1	1	3	49	53	72
13	2	1	3	54	39	66
6	1	1	3	66	51	61
11	1	1	3	73	60	86
10	2	1	2	63	70	81
12	2	4	3	61	40	79
11	1	1	3	74	61	73
12	2	5	3	81	35	59
12	1	1	1	62	39	64
7	1	1	2	64	31	75
12	1	1	3	62	36	68
12	1	1	1	85	51	84
9	1	1	1	74	55	68
12	1	1	3	51	67	68
12	1	1	3	66	40	69

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=108662&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=108662&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108662&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)
	FF	Geslacht	Opvoeding	Huwelijksstatus	TotNV	TotAngst	TotGroep
FF	1	0.064	0.107	-0.042	0.055	-0.084	0.106
Geslacht	0.064	1	0.074	0.125	0.03	0.1	0.06
Opvoeding	0.107	0.074	1	0.138	0.006	-0.085	-0.067
Huwelijksstatus	-0.042	0.125	0.138	1	-0.101	-0.031	0.258
TotNV	0.055	0.03	0.006	-0.101	1	0.174	0.174
TotAngst	-0.084	0.1	-0.085	-0.031	0.174	1	0.03
TotGroep	0.106	0.06	-0.067	0.258	0.174	0.03	1

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & FF & Geslacht & Opvoeding & Huwelijksstatus & TotNV & TotAngst & TotGroep \tabularnewline
FF & 1 & 0.064 & 0.107 & -0.042 & 0.055 & -0.084 & 0.106 \tabularnewline
Geslacht & 0.064 & 1 & 0.074 & 0.125 & 0.03 & 0.1 & 0.06 \tabularnewline
Opvoeding & 0.107 & 0.074 & 1 & 0.138 & 0.006 & -0.085 & -0.067 \tabularnewline
Huwelijksstatus & -0.042 & 0.125 & 0.138 & 1 & -0.101 & -0.031 & 0.258 \tabularnewline
TotNV & 0.055 & 0.03 & 0.006 & -0.101 & 1 & 0.174 & 0.174 \tabularnewline
TotAngst & -0.084 & 0.1 & -0.085 & -0.031 & 0.174 & 1 & 0.03 \tabularnewline
TotGroep & 0.106 & 0.06 & -0.067 & 0.258 & 0.174 & 0.03 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108662&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]FF[/C][C]Geslacht[/C][C]Opvoeding[/C][C]Huwelijksstatus[/C][C]TotNV[/C][C]TotAngst[/C][C]TotGroep[/C][/ROW]
[ROW][C]FF[/C][C]1[/C][C]0.064[/C][C]0.107[/C][C]-0.042[/C][C]0.055[/C][C]-0.084[/C][C]0.106[/C][/ROW]
[ROW][C]Geslacht[/C][C]0.064[/C][C]1[/C][C]0.074[/C][C]0.125[/C][C]0.03[/C][C]0.1[/C][C]0.06[/C][/ROW]
[ROW][C]Opvoeding[/C][C]0.107[/C][C]0.074[/C][C]1[/C][C]0.138[/C][C]0.006[/C][C]-0.085[/C][C]-0.067[/C][/ROW]
[ROW][C]Huwelijksstatus[/C][C]-0.042[/C][C]0.125[/C][C]0.138[/C][C]1[/C][C]-0.101[/C][C]-0.031[/C][C]0.258[/C][/ROW]
[ROW][C]TotNV[/C][C]0.055[/C][C]0.03[/C][C]0.006[/C][C]-0.101[/C][C]1[/C][C]0.174[/C][C]0.174[/C][/ROW]
[ROW][C]TotAngst[/C][C]-0.084[/C][C]0.1[/C][C]-0.085[/C][C]-0.031[/C][C]0.174[/C][C]1[/C][C]0.03[/C][/ROW]
[ROW][C]TotGroep[/C][C]0.106[/C][C]0.06[/C][C]-0.067[/C][C]0.258[/C][C]0.174[/C][C]0.03[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108662&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108662&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)
	FF	Geslacht	Opvoeding	Huwelijksstatus	TotNV	TotAngst	TotGroep
FF	1	0.064	0.107	-0.042	0.055	-0.084	0.106
Geslacht	0.064	1	0.074	0.125	0.03	0.1	0.06
Opvoeding	0.107	0.074	1	0.138	0.006	-0.085	-0.067
Huwelijksstatus	-0.042	0.125	0.138	1	-0.101	-0.031	0.258
TotNV	0.055	0.03	0.006	-0.101	1	0.174	0.174
TotAngst	-0.084	0.1	-0.085	-0.031	0.174	1	0.03
TotGroep	0.106	0.06	-0.067	0.258	0.174	0.03	1

Correlations for all pairs of data series with p-values
pair	Pearson r	Spearman rho	Kendall tau
FF;Geslacht	0.0708	0.0717	0.0641
p-value	(0.3957)	(0.3898)	(0.3879)
FF;Opvoeding	0.0621	0.1207	0.107
p-value	(0.4568)	(0.1467)	(0.1404)
FF;Huwelijksstatus	-0.0344	-0.0494	-0.0417
p-value	(0.6798)	(0.554)	(0.5601)
FF;TotNV	0.0294	0.0817	0.0554
p-value	(0.7246)	(0.3269)	(0.3719)
FF;TotAngst	-0.0904	-0.1113	-0.0842
p-value	(0.278)	(0.1809)	(0.1713)
FF;TotGroep	0.2012	0.1362	0.1056
p-value	(0.0149)	(0.1012)	(0.0871)
Geslacht;Opvoeding	0.051	0.0762	0.0744
p-value	(0.5412)	(0.3608)	(0.359)
Geslacht;Huwelijksstatus	0.1405	0.1296	0.1251
p-value	(0.0907)	(0.1189)	(0.1185)
Geslacht;TotNV	0.0461	0.0355	0.0296
p-value	(0.5809)	(0.6708)	(0.6692)
Geslacht;TotAngst	0.14	0.1202	0.0996
p-value	(0.092)	(0.1483)	(0.1477)
Geslacht;TotGroep	0.087	0.0717	0.0596
p-value	(0.2962)	(0.3895)	(0.3876)
Opvoeding;Huwelijksstatus	0.1337	0.1472	0.1384
p-value	(0.1077)	(0.0762)	(0.0771)
Opvoeding;TotNV	0.0583	0.0077	0.006
p-value	(0.4845)	(0.9263)	(0.9291)
Opvoeding;TotAngst	-0.0798	-0.1054	-0.0849
p-value	(0.3381)	(0.2056)	(0.2069)
Opvoeding;TotGroep	-0.0292	-0.0823	-0.0673
p-value	(0.7264)	(0.3232)	(0.3182)
Huwelijksstatus;TotNV	-0.126	-0.1253	-0.1007
p-value	(0.1297)	(0.1318)	(0.1324)
Huwelijksstatus;TotAngst	-0.0236	-0.0388	-0.0312
p-value	(0.7772)	(0.6419)	(0.6387)
Huwelijksstatus;TotGroep	0.3089	0.3238	0.2584
p-value	(1e-04)	(1e-04)	(1e-04)
TotNV;TotAngst	0.1982	0.2396	0.1743
p-value	(0.0165)	(0.0036)	(0.0025)
TotNV;TotGroep	0.2541	0.2458	0.1735
p-value	(0.002)	(0.0028)	(0.0026)
TotAngst;TotGroep	0.0562	0.0467	0.0298
p-value	(0.5001)	(0.5757)	(0.6029)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
FF;Geslacht & 0.0708 & 0.0717 & 0.0641 \tabularnewline
p-value & (0.3957) & (0.3898) & (0.3879) \tabularnewline
FF;Opvoeding & 0.0621 & 0.1207 & 0.107 \tabularnewline
p-value & (0.4568) & (0.1467) & (0.1404) \tabularnewline
FF;Huwelijksstatus & -0.0344 & -0.0494 & -0.0417 \tabularnewline
p-value & (0.6798) & (0.554) & (0.5601) \tabularnewline
FF;TotNV & 0.0294 & 0.0817 & 0.0554 \tabularnewline
p-value & (0.7246) & (0.3269) & (0.3719) \tabularnewline
FF;TotAngst & -0.0904 & -0.1113 & -0.0842 \tabularnewline
p-value & (0.278) & (0.1809) & (0.1713) \tabularnewline
FF;TotGroep & 0.2012 & 0.1362 & 0.1056 \tabularnewline
p-value & (0.0149) & (0.1012) & (0.0871) \tabularnewline
Geslacht;Opvoeding & 0.051 & 0.0762 & 0.0744 \tabularnewline
p-value & (0.5412) & (0.3608) & (0.359) \tabularnewline
Geslacht;Huwelijksstatus & 0.1405 & 0.1296 & 0.1251 \tabularnewline
p-value & (0.0907) & (0.1189) & (0.1185) \tabularnewline
Geslacht;TotNV & 0.0461 & 0.0355 & 0.0296 \tabularnewline
p-value & (0.5809) & (0.6708) & (0.6692) \tabularnewline
Geslacht;TotAngst & 0.14 & 0.1202 & 0.0996 \tabularnewline
p-value & (0.092) & (0.1483) & (0.1477) \tabularnewline
Geslacht;TotGroep & 0.087 & 0.0717 & 0.0596 \tabularnewline
p-value & (0.2962) & (0.3895) & (0.3876) \tabularnewline
Opvoeding;Huwelijksstatus & 0.1337 & 0.1472 & 0.1384 \tabularnewline
p-value & (0.1077) & (0.0762) & (0.0771) \tabularnewline
Opvoeding;TotNV & 0.0583 & 0.0077 & 0.006 \tabularnewline
p-value & (0.4845) & (0.9263) & (0.9291) \tabularnewline
Opvoeding;TotAngst & -0.0798 & -0.1054 & -0.0849 \tabularnewline
p-value & (0.3381) & (0.2056) & (0.2069) \tabularnewline
Opvoeding;TotGroep & -0.0292 & -0.0823 & -0.0673 \tabularnewline
p-value & (0.7264) & (0.3232) & (0.3182) \tabularnewline
Huwelijksstatus;TotNV & -0.126 & -0.1253 & -0.1007 \tabularnewline
p-value & (0.1297) & (0.1318) & (0.1324) \tabularnewline
Huwelijksstatus;TotAngst & -0.0236 & -0.0388 & -0.0312 \tabularnewline
p-value & (0.7772) & (0.6419) & (0.6387) \tabularnewline
Huwelijksstatus;TotGroep & 0.3089 & 0.3238 & 0.2584 \tabularnewline
p-value & (1e-04) & (1e-04) & (1e-04) \tabularnewline
TotNV;TotAngst & 0.1982 & 0.2396 & 0.1743 \tabularnewline
p-value & (0.0165) & (0.0036) & (0.0025) \tabularnewline
TotNV;TotGroep & 0.2541 & 0.2458 & 0.1735 \tabularnewline
p-value & (0.002) & (0.0028) & (0.0026) \tabularnewline
TotAngst;TotGroep & 0.0562 & 0.0467 & 0.0298 \tabularnewline
p-value & (0.5001) & (0.5757) & (0.6029) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=108662&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]FF;Geslacht[/C][C]0.0708[/C][C]0.0717[/C][C]0.0641[/C][/ROW]
[ROW][C]p-value[/C][C](0.3957)[/C][C](0.3898)[/C][C](0.3879)[/C][/ROW]
[ROW][C]FF;Opvoeding[/C][C]0.0621[/C][C]0.1207[/C][C]0.107[/C][/ROW]
[ROW][C]p-value[/C][C](0.4568)[/C][C](0.1467)[/C][C](0.1404)[/C][/ROW]
[ROW][C]FF;Huwelijksstatus[/C][C]-0.0344[/C][C]-0.0494[/C][C]-0.0417[/C][/ROW]
[ROW][C]p-value[/C][C](0.6798)[/C][C](0.554)[/C][C](0.5601)[/C][/ROW]
[ROW][C]FF;TotNV[/C][C]0.0294[/C][C]0.0817[/C][C]0.0554[/C][/ROW]
[ROW][C]p-value[/C][C](0.7246)[/C][C](0.3269)[/C][C](0.3719)[/C][/ROW]
[ROW][C]FF;TotAngst[/C][C]-0.0904[/C][C]-0.1113[/C][C]-0.0842[/C][/ROW]
[ROW][C]p-value[/C][C](0.278)[/C][C](0.1809)[/C][C](0.1713)[/C][/ROW]
[ROW][C]FF;TotGroep[/C][C]0.2012[/C][C]0.1362[/C][C]0.1056[/C][/ROW]
[ROW][C]p-value[/C][C](0.0149)[/C][C](0.1012)[/C][C](0.0871)[/C][/ROW]
[ROW][C]Geslacht;Opvoeding[/C][C]0.051[/C][C]0.0762[/C][C]0.0744[/C][/ROW]
[ROW][C]p-value[/C][C](0.5412)[/C][C](0.3608)[/C][C](0.359)[/C][/ROW]
[ROW][C]Geslacht;Huwelijksstatus[/C][C]0.1405[/C][C]0.1296[/C][C]0.1251[/C][/ROW]
[ROW][C]p-value[/C][C](0.0907)[/C][C](0.1189)[/C][C](0.1185)[/C][/ROW]
[ROW][C]Geslacht;TotNV[/C][C]0.0461[/C][C]0.0355[/C][C]0.0296[/C][/ROW]
[ROW][C]p-value[/C][C](0.5809)[/C][C](0.6708)[/C][C](0.6692)[/C][/ROW]
[ROW][C]Geslacht;TotAngst[/C][C]0.14[/C][C]0.1202[/C][C]0.0996[/C][/ROW]
[ROW][C]p-value[/C][C](0.092)[/C][C](0.1483)[/C][C](0.1477)[/C][/ROW]
[ROW][C]Geslacht;TotGroep[/C][C]0.087[/C][C]0.0717[/C][C]0.0596[/C][/ROW]
[ROW][C]p-value[/C][C](0.2962)[/C][C](0.3895)[/C][C](0.3876)[/C][/ROW]
[ROW][C]Opvoeding;Huwelijksstatus[/C][C]0.1337[/C][C]0.1472[/C][C]0.1384[/C][/ROW]
[ROW][C]p-value[/C][C](0.1077)[/C][C](0.0762)[/C][C](0.0771)[/C][/ROW]
[ROW][C]Opvoeding;TotNV[/C][C]0.0583[/C][C]0.0077[/C][C]0.006[/C][/ROW]
[ROW][C]p-value[/C][C](0.4845)[/C][C](0.9263)[/C][C](0.9291)[/C][/ROW]
[ROW][C]Opvoeding;TotAngst[/C][C]-0.0798[/C][C]-0.1054[/C][C]-0.0849[/C][/ROW]
[ROW][C]p-value[/C][C](0.3381)[/C][C](0.2056)[/C][C](0.2069)[/C][/ROW]
[ROW][C]Opvoeding;TotGroep[/C][C]-0.0292[/C][C]-0.0823[/C][C]-0.0673[/C][/ROW]
[ROW][C]p-value[/C][C](0.7264)[/C][C](0.3232)[/C][C](0.3182)[/C][/ROW]
[ROW][C]Huwelijksstatus;TotNV[/C][C]-0.126[/C][C]-0.1253[/C][C]-0.1007[/C][/ROW]
[ROW][C]p-value[/C][C](0.1297)[/C][C](0.1318)[/C][C](0.1324)[/C][/ROW]
[ROW][C]Huwelijksstatus;TotAngst[/C][C]-0.0236[/C][C]-0.0388[/C][C]-0.0312[/C][/ROW]
[ROW][C]p-value[/C][C](0.7772)[/C][C](0.6419)[/C][C](0.6387)[/C][/ROW]
[ROW][C]Huwelijksstatus;TotGroep[/C][C]0.3089[/C][C]0.3238[/C][C]0.2584[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]TotNV;TotAngst[/C][C]0.1982[/C][C]0.2396[/C][C]0.1743[/C][/ROW]
[ROW][C]p-value[/C][C](0.0165)[/C][C](0.0036)[/C][C](0.0025)[/C][/ROW]
[ROW][C]TotNV;TotGroep[/C][C]0.2541[/C][C]0.2458[/C][C]0.1735[/C][/ROW]
[ROW][C]p-value[/C][C](0.002)[/C][C](0.0028)[/C][C](0.0026)[/C][/ROW]
[ROW][C]TotAngst;TotGroep[/C][C]0.0562[/C][C]0.0467[/C][C]0.0298[/C][/ROW]
[ROW][C]p-value[/C][C](0.5001)[/C][C](0.5757)[/C][C](0.6029)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=108662&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=108662&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
FF;Geslacht	0.0708	0.0717	0.0641
p-value	(0.3957)	(0.3898)	(0.3879)
FF;Opvoeding	0.0621	0.1207	0.107
p-value	(0.4568)	(0.1467)	(0.1404)
FF;Huwelijksstatus	-0.0344	-0.0494	-0.0417
p-value	(0.6798)	(0.554)	(0.5601)
FF;TotNV	0.0294	0.0817	0.0554
p-value	(0.7246)	(0.3269)	(0.3719)
FF;TotAngst	-0.0904	-0.1113	-0.0842
p-value	(0.278)	(0.1809)	(0.1713)
FF;TotGroep	0.2012	0.1362	0.1056
p-value	(0.0149)	(0.1012)	(0.0871)
Geslacht;Opvoeding	0.051	0.0762	0.0744
p-value	(0.5412)	(0.3608)	(0.359)
Geslacht;Huwelijksstatus	0.1405	0.1296	0.1251
p-value	(0.0907)	(0.1189)	(0.1185)
Geslacht;TotNV	0.0461	0.0355	0.0296
p-value	(0.5809)	(0.6708)	(0.6692)
Geslacht;TotAngst	0.14	0.1202	0.0996
p-value	(0.092)	(0.1483)	(0.1477)
Geslacht;TotGroep	0.087	0.0717	0.0596
p-value	(0.2962)	(0.3895)	(0.3876)
Opvoeding;Huwelijksstatus	0.1337	0.1472	0.1384
p-value	(0.1077)	(0.0762)	(0.0771)
Opvoeding;TotNV	0.0583	0.0077	0.006
p-value	(0.4845)	(0.9263)	(0.9291)
Opvoeding;TotAngst	-0.0798	-0.1054	-0.0849
p-value	(0.3381)	(0.2056)	(0.2069)
Opvoeding;TotGroep	-0.0292	-0.0823	-0.0673
p-value	(0.7264)	(0.3232)	(0.3182)
Huwelijksstatus;TotNV	-0.126	-0.1253	-0.1007
p-value	(0.1297)	(0.1318)	(0.1324)
Huwelijksstatus;TotAngst	-0.0236	-0.0388	-0.0312
p-value	(0.7772)	(0.6419)	(0.6387)
Huwelijksstatus;TotGroep	0.3089	0.3238	0.2584
p-value	(1e-04)	(1e-04)	(1e-04)
TotNV;TotAngst	0.1982	0.2396	0.1743
p-value	(0.0165)	(0.0036)	(0.0025)
TotNV;TotGroep	0.2541	0.2458	0.1735
p-value	(0.002)	(0.0028)	(0.0026)
TotAngst;TotGroep	0.0562	0.0467	0.0298
p-value	(0.5001)	(0.5757)	(0.6029)

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