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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 24 Dec 2010 11:00:53 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Dec/24/t1293188310fqyalmx7zdhzdly.htm/, Retrieved Tue, 30 Apr 2024 05:08:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114751, Retrieved Tue, 30 Apr 2024 05:08:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

Tree of Dependent Computations

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 18:04:16] [b98453cac15ba1066b407e146608df68]
- RMPD    [Kendall tau Correlation Matrix] [Kendall] [2010-12-24 11:00:53] [4cd8ab5c565aadc5ce193fb2faa1c53a] [Current]
-           [Kendall tau Correlation Matrix] [] [2010-12-24 12:25:09] [e45804683e9a4263debf179d74e04a01]
-   PD        [Kendall tau Correlation Matrix] [] [2010-12-24 12:30:44] [e45804683e9a4263debf179d74e04a01]
-    D          [Kendall tau Correlation Matrix] [] [2010-12-27 15:38:59] [e45804683e9a4263debf179d74e04a01]
-    D            [Kendall tau Correlation Matrix] [] [2010-12-27 18:21:14] [e45804683e9a4263debf179d74e04a01]
-   PD            [Kendall tau Correlation Matrix] [] [2010-12-27 18:32:10] [e45804683e9a4263debf179d74e04a01]
-                   [Kendall tau Correlation Matrix] [] [2010-12-29 17:52:45] [dcd1a35a8985187cb1e9de87792355b2]
-                 [Kendall tau Correlation Matrix] [] [2010-12-29 17:45:31] [dcd1a35a8985187cb1e9de87792355b2]
-   PD          [Kendall tau Correlation Matrix] [] [2010-12-27 15:58:47] [e45804683e9a4263debf179d74e04a01]
-                 [Kendall tau Correlation Matrix] [] [2010-12-29 17:46:53] [dcd1a35a8985187cb1e9de87792355b2]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114751&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114751&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114751&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Correlations for all pairs of data series (method=kendall)
Teamwork33geslachtleeftijdopleidingNeuroticismeExtraversieOpenheid
Teamwork3310.109-0.088-0.133-0.2960.159-0.224
geslacht0.1091-0.2190.192-0.431-0.318-0.101
leeftijd-0.088-0.21910.11-0.078-0.1230.3
opleiding-0.1330.1920.111-0.156-0.4730.25
Neuroticisme-0.296-0.431-0.078-0.15610.231-0.068
Extraversie0.159-0.318-0.123-0.4730.2311-0.275
Openheid -0.224-0.1010.30.25-0.068-0.2751

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Teamwork33 & geslacht & leeftijd & opleiding & Neuroticisme & Extraversie & Openheid
 \tabularnewline
Teamwork33 & 1 & 0.109 & -0.088 & -0.133 & -0.296 & 0.159 & -0.224 \tabularnewline
geslacht & 0.109 & 1 & -0.219 & 0.192 & -0.431 & -0.318 & -0.101 \tabularnewline
leeftijd & -0.088 & -0.219 & 1 & 0.11 & -0.078 & -0.123 & 0.3 \tabularnewline
opleiding & -0.133 & 0.192 & 0.11 & 1 & -0.156 & -0.473 & 0.25 \tabularnewline
Neuroticisme & -0.296 & -0.431 & -0.078 & -0.156 & 1 & 0.231 & -0.068 \tabularnewline
Extraversie & 0.159 & -0.318 & -0.123 & -0.473 & 0.231 & 1 & -0.275 \tabularnewline
Openheid
 & -0.224 & -0.101 & 0.3 & 0.25 & -0.068 & -0.275 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114751&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Teamwork33[/C][C]geslacht[/C][C]leeftijd[/C][C]opleiding[/C][C]Neuroticisme[/C][C]Extraversie[/C][C]Openheid
[/C][/ROW]
[ROW][C]Teamwork33[/C][C]1[/C][C]0.109[/C][C]-0.088[/C][C]-0.133[/C][C]-0.296[/C][C]0.159[/C][C]-0.224[/C][/ROW]
[ROW][C]geslacht[/C][C]0.109[/C][C]1[/C][C]-0.219[/C][C]0.192[/C][C]-0.431[/C][C]-0.318[/C][C]-0.101[/C][/ROW]
[ROW][C]leeftijd[/C][C]-0.088[/C][C]-0.219[/C][C]1[/C][C]0.11[/C][C]-0.078[/C][C]-0.123[/C][C]0.3[/C][/ROW]
[ROW][C]opleiding[/C][C]-0.133[/C][C]0.192[/C][C]0.11[/C][C]1[/C][C]-0.156[/C][C]-0.473[/C][C]0.25[/C][/ROW]
[ROW][C]Neuroticisme[/C][C]-0.296[/C][C]-0.431[/C][C]-0.078[/C][C]-0.156[/C][C]1[/C][C]0.231[/C][C]-0.068[/C][/ROW]
[ROW][C]Extraversie[/C][C]0.159[/C][C]-0.318[/C][C]-0.123[/C][C]-0.473[/C][C]0.231[/C][C]1[/C][C]-0.275[/C][/ROW]
[ROW][C]Openheid
[/C][C]-0.224[/C][C]-0.101[/C][C]0.3[/C][C]0.25[/C][C]-0.068[/C][C]-0.275[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114751&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114751&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series (method=kendall)
Teamwork33geslachtleeftijdopleidingNeuroticismeExtraversieOpenheid
Teamwork3310.109-0.088-0.133-0.2960.159-0.224
geslacht0.1091-0.2190.192-0.431-0.318-0.101
leeftijd-0.088-0.21910.11-0.078-0.1230.3
opleiding-0.1330.1920.111-0.156-0.4730.25
Neuroticisme-0.296-0.431-0.078-0.15610.231-0.068
Extraversie0.159-0.318-0.123-0.4730.2311-0.275
Openheid -0.224-0.1010.30.25-0.068-0.2751






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Teamwork33;geslacht0.28550.15180.1089
p-value(1e-04)(0.0341)(0.0413)
Teamwork33;leeftijd-0.3713-0.1317-0.0883
p-value(0)(0.0664)(0.0911)
Teamwork33;opleiding-0.1792-0.18-0.1329
p-value(0.0122)(0.0118)(0.0131)
Teamwork33;Neuroticisme-0.2083-0.3821-0.2955
p-value(0.0035)(0)(0)
Teamwork33;Extraversie0.13990.21760.1587
p-value(0.0511)(0.0022)(0.0031)
Teamwork33;Openheid -0.5531-0.2981-0.2245
p-value(0)(0)(0)
geslacht;leeftijd-0.2628-0.2829-0.2185
p-value(2e-04)(1e-04)(0)
geslacht;opleiding0.37670.27940.1924
p-value(0)(1e-04)(2e-04)
geslacht;Neuroticisme-0.5362-0.5531-0.4307
p-value(0)(0)(0)
geslacht;Extraversie-0.4518-0.4279-0.318
p-value(0)(0)(0)
geslacht;Openheid -0.2444-0.1753-0.1007
p-value(6e-04)(0.0143)(0.0469)
leeftijd;opleiding0.02820.15750.1102
p-value(0.6959)(0.0279)(0.0298)
leeftijd;Neuroticisme-0.3343-0.1216-0.0785
p-value(0)(0.0903)(0.1194)
leeftijd;Extraversie-0.1929-0.1876-0.123
p-value(0.0069)(0.0086)(0.0153)
leeftijd;Openheid 0.4810.43140.2999
p-value(0)(0)(0)
opleiding;Neuroticisme-0.3747-0.2039-0.1563
p-value(0)(0.0042)(0.0025)
opleiding;Extraversie-0.81-0.689-0.4728
p-value(0)(0)(0)
opleiding;Openheid 0.31430.33790.2498
p-value(0)(0)(0)
Neuroticisme;Extraversie0.52460.35010.2307
p-value(0)(0)(0)
Neuroticisme;Openheid -0.1917-0.07-0.0684
p-value(0.0073)(0.3307)(0.1759)
Extraversie;Openheid -0.4675-0.4154-0.2745
p-value(0)(0)(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Teamwork33;geslacht & 0.2855 & 0.1518 & 0.1089 \tabularnewline
p-value & (1e-04) & (0.0341) & (0.0413) \tabularnewline
Teamwork33;leeftijd & -0.3713 & -0.1317 & -0.0883 \tabularnewline
p-value & (0) & (0.0664) & (0.0911) \tabularnewline
Teamwork33;opleiding & -0.1792 & -0.18 & -0.1329 \tabularnewline
p-value & (0.0122) & (0.0118) & (0.0131) \tabularnewline
Teamwork33;Neuroticisme & -0.2083 & -0.3821 & -0.2955 \tabularnewline
p-value & (0.0035) & (0) & (0) \tabularnewline
Teamwork33;Extraversie & 0.1399 & 0.2176 & 0.1587 \tabularnewline
p-value & (0.0511) & (0.0022) & (0.0031) \tabularnewline
Teamwork33;Openheid
 & -0.5531 & -0.2981 & -0.2245 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
geslacht;leeftijd & -0.2628 & -0.2829 & -0.2185 \tabularnewline
p-value & (2e-04) & (1e-04) & (0) \tabularnewline
geslacht;opleiding & 0.3767 & 0.2794 & 0.1924 \tabularnewline
p-value & (0) & (1e-04) & (2e-04) \tabularnewline
geslacht;Neuroticisme & -0.5362 & -0.5531 & -0.4307 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
geslacht;Extraversie & -0.4518 & -0.4279 & -0.318 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
geslacht;Openheid
 & -0.2444 & -0.1753 & -0.1007 \tabularnewline
p-value & (6e-04) & (0.0143) & (0.0469) \tabularnewline
leeftijd;opleiding & 0.0282 & 0.1575 & 0.1102 \tabularnewline
p-value & (0.6959) & (0.0279) & (0.0298) \tabularnewline
leeftijd;Neuroticisme & -0.3343 & -0.1216 & -0.0785 \tabularnewline
p-value & (0) & (0.0903) & (0.1194) \tabularnewline
leeftijd;Extraversie & -0.1929 & -0.1876 & -0.123 \tabularnewline
p-value & (0.0069) & (0.0086) & (0.0153) \tabularnewline
leeftijd;Openheid
 & 0.481 & 0.4314 & 0.2999 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
opleiding;Neuroticisme & -0.3747 & -0.2039 & -0.1563 \tabularnewline
p-value & (0) & (0.0042) & (0.0025) \tabularnewline
opleiding;Extraversie & -0.81 & -0.689 & -0.4728 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
opleiding;Openheid
 & 0.3143 & 0.3379 & 0.2498 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Neuroticisme;Extraversie & 0.5246 & 0.3501 & 0.2307 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Neuroticisme;Openheid
 & -0.1917 & -0.07 & -0.0684 \tabularnewline
p-value & (0.0073) & (0.3307) & (0.1759) \tabularnewline
Extraversie;Openheid
 & -0.4675 & -0.4154 & -0.2745 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114751&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]Teamwork33;geslacht[/C][C]0.2855[/C][C]0.1518[/C][C]0.1089[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0.0341)[/C][C](0.0413)[/C][/ROW]
[ROW][C]Teamwork33;leeftijd[/C][C]-0.3713[/C][C]-0.1317[/C][C]-0.0883[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.0664)[/C][C](0.0911)[/C][/ROW]
[ROW][C]Teamwork33;opleiding[/C][C]-0.1792[/C][C]-0.18[/C][C]-0.1329[/C][/ROW]
[ROW][C]p-value[/C][C](0.0122)[/C][C](0.0118)[/C][C](0.0131)[/C][/ROW]
[ROW][C]Teamwork33;Neuroticisme[/C][C]-0.2083[/C][C]-0.3821[/C][C]-0.2955[/C][/ROW]
[ROW][C]p-value[/C][C](0.0035)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Teamwork33;Extraversie[/C][C]0.1399[/C][C]0.2176[/C][C]0.1587[/C][/ROW]
[ROW][C]p-value[/C][C](0.0511)[/C][C](0.0022)[/C][C](0.0031)[/C][/ROW]
[ROW][C]Teamwork33;Openheid
[/C][C]-0.5531[/C][C]-0.2981[/C][C]-0.2245[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;leeftijd[/C][C]-0.2628[/C][C]-0.2829[/C][C]-0.2185[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](1e-04)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;opleiding[/C][C]0.3767[/C][C]0.2794[/C][C]0.1924[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]geslacht;Neuroticisme[/C][C]-0.5362[/C][C]-0.5531[/C][C]-0.4307[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;Extraversie[/C][C]-0.4518[/C][C]-0.4279[/C][C]-0.318[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;Openheid
[/C][C]-0.2444[/C][C]-0.1753[/C][C]-0.1007[/C][/ROW]
[ROW][C]p-value[/C][C](6e-04)[/C][C](0.0143)[/C][C](0.0469)[/C][/ROW]
[ROW][C]leeftijd;opleiding[/C][C]0.0282[/C][C]0.1575[/C][C]0.1102[/C][/ROW]
[ROW][C]p-value[/C][C](0.6959)[/C][C](0.0279)[/C][C](0.0298)[/C][/ROW]
[ROW][C]leeftijd;Neuroticisme[/C][C]-0.3343[/C][C]-0.1216[/C][C]-0.0785[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.0903)[/C][C](0.1194)[/C][/ROW]
[ROW][C]leeftijd;Extraversie[/C][C]-0.1929[/C][C]-0.1876[/C][C]-0.123[/C][/ROW]
[ROW][C]p-value[/C][C](0.0069)[/C][C](0.0086)[/C][C](0.0153)[/C][/ROW]
[ROW][C]leeftijd;Openheid
[/C][C]0.481[/C][C]0.4314[/C][C]0.2999[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]opleiding;Neuroticisme[/C][C]-0.3747[/C][C]-0.2039[/C][C]-0.1563[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.0042)[/C][C](0.0025)[/C][/ROW]
[ROW][C]opleiding;Extraversie[/C][C]-0.81[/C][C]-0.689[/C][C]-0.4728[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]opleiding;Openheid
[/C][C]0.3143[/C][C]0.3379[/C][C]0.2498[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Neuroticisme;Extraversie[/C][C]0.5246[/C][C]0.3501[/C][C]0.2307[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Neuroticisme;Openheid
[/C][C]-0.1917[/C][C]-0.07[/C][C]-0.0684[/C][/ROW]
[ROW][C]p-value[/C][C](0.0073)[/C][C](0.3307)[/C][C](0.1759)[/C][/ROW]
[ROW][C]Extraversie;Openheid
[/C][C]-0.4675[/C][C]-0.4154[/C][C]-0.2745[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114751&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114751&T=2

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Teamwork33;geslacht0.28550.15180.1089
p-value(1e-04)(0.0341)(0.0413)
Teamwork33;leeftijd-0.3713-0.1317-0.0883
p-value(0)(0.0664)(0.0911)
Teamwork33;opleiding-0.1792-0.18-0.1329
p-value(0.0122)(0.0118)(0.0131)
Teamwork33;Neuroticisme-0.2083-0.3821-0.2955
p-value(0.0035)(0)(0)
Teamwork33;Extraversie0.13990.21760.1587
p-value(0.0511)(0.0022)(0.0031)
Teamwork33;Openheid -0.5531-0.2981-0.2245
p-value(0)(0)(0)
geslacht;leeftijd-0.2628-0.2829-0.2185
p-value(2e-04)(1e-04)(0)
geslacht;opleiding0.37670.27940.1924
p-value(0)(1e-04)(2e-04)
geslacht;Neuroticisme-0.5362-0.5531-0.4307
p-value(0)(0)(0)
geslacht;Extraversie-0.4518-0.4279-0.318
p-value(0)(0)(0)
geslacht;Openheid -0.2444-0.1753-0.1007
p-value(6e-04)(0.0143)(0.0469)
leeftijd;opleiding0.02820.15750.1102
p-value(0.6959)(0.0279)(0.0298)
leeftijd;Neuroticisme-0.3343-0.1216-0.0785
p-value(0)(0.0903)(0.1194)
leeftijd;Extraversie-0.1929-0.1876-0.123
p-value(0.0069)(0.0086)(0.0153)
leeftijd;Openheid 0.4810.43140.2999
p-value(0)(0)(0)
opleiding;Neuroticisme-0.3747-0.2039-0.1563
p-value(0)(0.0042)(0.0025)
opleiding;Extraversie-0.81-0.689-0.4728
p-value(0)(0)(0)
opleiding;Openheid 0.31430.33790.2498
p-value(0)(0)(0)
Neuroticisme;Extraversie0.52460.35010.2307
p-value(0)(0)(0)
Neuroticisme;Openheid -0.1917-0.07-0.0684
p-value(0.0073)(0.3307)(0.1759)
Extraversie;Openheid -0.4675-0.4154-0.2745
p-value(0)(0)(0)


Figures (Output of Computation)

Input Parameters & R Code

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')