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R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 24 Dec 2010 10:30:10 +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/t1293186487z5l5fvxh4u3zfn2.htm/, Retrieved Tue, 30 Apr 2024 05:07:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114713, Retrieved Tue, 30 Apr 2024 05:07:28 +0000
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Estimated Impact128
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-     [Kendall tau Correlation Matrix] [] [2010-12-05 17:44:33] [b98453cac15ba1066b407e146608df68]
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Dataseries X:
4	1	27	5	35	26	49
4	1	36	4	34	25	45
5	1	25	4	13	17	54
2	1	27	3	35	37	36
3	2	25	3	28	35	36
5	2	44	3	32	15	53
4	1	50	4	35	27	46
4	1	41	4	36	36	42
4	1	48	5	27	25	41
4	2	43	4	29	30	45
5	2	47	2	27	27	47
4	2	41	3	28	33	42
3	1	44	2	29	29	45
4	2	47	5	28	30	40
3	2	40	3	30	25	45
3	2	46	3	25	23	40
4	1	28	3	15	26	42
3	1	56	3	33	24	45
4	2	49	4	31	35	47
2	2	25	4	37	39	31
4	2	41	4	37	23	46
3	2	26	3	34	32	34
4	1	50	5	32	29	43
4	1	47	4	21	26	45
3	1	52	2	25	21	42
3	2	37	5	32	35	51
2	2	41	3	28	23	44
4	1	45	4	22	21	47
5	2	26	4	25	28	47
4	1		3	26	30	41
2	1	52	4	34	21	44
5	1	46	2	34	29	51
4	1	58	3	36	28	46
3	1	54	5	36	19	47
4	1	29	3	26	26	46
2	2	50	3	26	33	38
3	1	43	2	34	34	50
3	2	30	3	33	33	48
3	2	47	2	31	40	36
5	1	45	3	33	24	51
	2	48	1	22	35	35
4	2	48	3	29	35	49
4	2	26	4	24	32	38
4	1	46	5	37	20	47
2	2		3	32	35	36
4	2	50	3	23	35	47
3	1	25	4	29	21	46
4	1	47	2	35	33	43
1	2	47	2	20	40	53
2	1	41	3	28	22	55
2	2	45	2	26	35	39
4	2	41	4	36	20	55
3	2	45	5	26	28	41
4	2	40	3	33	46	33
3	1	29	4	25	18	52
3	2	34	5	29	22	42
5	1	45	5	32	20	56
3	2	52	3	35	25	46
2	2	41	4	24	31	33
1	2	48	3	31	21	51
2	2	45	3	29	23	46
5	1	54	2	27	26	46
4	2	25	3	29	34	50
4	2	26	4	29	31	46
3	1	28	4	27	23	51
4	2	50	4	34	31	48
4	2	48	4	32	26	44
2	2	51	3	31	36	38
3	2	53	3	31	28	42
4	1	37	3	31	34	39
3	1	56	2	16	25	45
2	1	43	3	25	33	31
4	1	34	3	27	46	29
4	1	42	3	32	24	48
3	2	32	3	28	32	38
5	2	31	5	25	33	55
1	1	46	3	25	42	32
3	2	30	5	36	17	51
3	2	47	4	36	36	53
5	2	33	4	36	40	47
2	1	25	4	27	30	45
3	1	25	5	29	19	33
3	2	21	4	32	33	49
4	2	36	5	29	35	46
2	2	50	3	31	23	42
4	2	48	3	34	15	56
3	2	48	2	27	38	35
3	1	25	3	28	37	40
3	1	48	4	32	23	44
2	2	49	5	33	41	46
3	1	27	5	29	34	46
2	1	28	3	32	38	39
4	2	43	2	35	45	35
4	2	48	3	33	27	48
2	2	48	4	27	46	42
1	1	25	1	16	26	39
5	2	49	4	32	44	39
4	1	26	3	26	36	41
4	1	51	3	32	20	52
4	2	25	4	38	44	45
3	1	29	3	24	27	42
3	1	29	4	26	27	44
1	1	43	2	19	41	33
5	2	46	3	37	30	42
3	1	44	3	25	33	46
3	1	25	3	24	37	45
2	1	51	2	23	30	40
4	1	42	5	28	20	48
4	2	53	5	38	44	32
3	1	25	4	28	20	53
4	2	49	2	28	33	39
4	1	51	3	26	31	45
2	2	20	3	21	23	36
3	2	44	3	35	33	38
3	2	38	4	31	33	49
3	1	46	5	34	32	46
4	2	42	4	30	25	43
5	1	29		30	22	37
3	2	46	4	24	16	48
3	2	49	2	27	36	45
2	2	51	3	26	35	32
3	1	38	3	30	25	46
1	1	41	1	15	27	20
4	2	47	3	28	32	42
4	2	44	3	34	36	45
4	2	47	3	29	51	29
3	2	46	3	26	30	51
5	1	44	4	31	20	55
2	2	28	3	28	29	50
2	2	47	4	33	26	44
3	2	28	4	32	20	41
3	1	41	5	33	40	40
2	2	45	4	31	29	47
1	2	46	4	37	32	42
3	1	46	4	27	33	40
5	2	22	3	19	32	51
4	2	33	3	27	34	43
4	1	41	4	31	24	45
4	2	47	5	38	25	41
3	1	25	3	22	41	41
5	2	42	3	35	39	37
3	2	47	3	35	21	46
3	2	50	3	30	38	38
3	1	55	5	41	28	39
3	1	21	3	25	37	45
4	1		3	28	26	46
2	1	52	3	45	30	39
2	2	49	4	21	25	21
4	2	46	4	33	38	31
3	1		4	25	31	35
3	2	45	3	29	31	49
2	2	52	3	31	27	40
3	1		3	29	21	45
3	2	40	4	31	26	46
4	2	49	4	31	37	45
1	1	38	5	25	28	34
1	1	32	5	27	29	41
5	2	46	4	26	33	43
4	2	32	3	26	41	45
3	2	41	3	23	19	48
3	2	43	3	27	37	43
4	1	44	4	24	36	45
3	1	47	5	35	27	45
2	2	28	3	24	33	34
1	1	52	1	32	29	40
1	1	27	2	24	42	40
5	2	45	5	24	27	55
4	1	27	4	38	47	44
3	1	25	4	36	17	44
4	1	28	4	24	34	48
5	1	25	3	18	32	51
4	1	52	4	34	25	49
4	1	44	3	23	27	33
2	2	43	3	35	37	43
3	2	47	4	22	34	44
4	2	52	4	34	27	44
3	2	40	2	28	37	41
4	1	42	3	34	32	45
3	1	45	5	32	26	44
4	1	45	2	24	29	44
1	1	50	5	34	28	40
2	1	49	3	33	19	48
3	1	52	2	33	46	49
3	2	48	3	29	31	46
5	2	51	3	38	42	49
4	2	49	4	24	33	55
3	2	31	4	25	39	51
3	2	43	3	37	27	46
3	2	31	3	33	35	37
3	2	28	4	30	23	43
4	2	43	4	22	32	41
3	2	31	3	28	22	45
2	2	51	3	24	17	39
4	2	58	4	33	35	38
2	2	25	5	37	34	41




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=114713&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=114713&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114713&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 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=pearson)
Teamwork33geslachtleeftijdopleidingOpenheidNeuroticismeExtraversie
Teamwork3310.144-0.011-0.266-0.1460.26-0.626
geslacht0.1441-0.3790.56-0.62-0.244-0.441
leeftijd-0.011-0.3791-0.422-0.0330.1050.144
opleiding-0.2660.56-0.4221-0.546-0.7250.105
Openheid-0.146-0.62-0.033-0.54610.3790.17
Neuroticisme0.26-0.2440.105-0.7250.3791-0.422
Extraversie-0.626-0.4410.1440.1050.17-0.4221

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Teamwork33 & geslacht & leeftijd & opleiding & Openheid & Neuroticisme & Extraversie \tabularnewline
Teamwork33 & 1 & 0.144 & -0.011 & -0.266 & -0.146 & 0.26 & -0.626 \tabularnewline
geslacht & 0.144 & 1 & -0.379 & 0.56 & -0.62 & -0.244 & -0.441 \tabularnewline
leeftijd & -0.011 & -0.379 & 1 & -0.422 & -0.033 & 0.105 & 0.144 \tabularnewline
opleiding & -0.266 & 0.56 & -0.422 & 1 & -0.546 & -0.725 & 0.105 \tabularnewline
Openheid & -0.146 & -0.62 & -0.033 & -0.546 & 1 & 0.379 & 0.17 \tabularnewline
Neuroticisme & 0.26 & -0.244 & 0.105 & -0.725 & 0.379 & 1 & -0.422 \tabularnewline
Extraversie & -0.626 & -0.441 & 0.144 & 0.105 & 0.17 & -0.422 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114713&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Teamwork33[/C][C]geslacht[/C][C]leeftijd[/C][C]opleiding[/C][C]Openheid[/C][C]Neuroticisme[/C][C]Extraversie[/C][/ROW]
[ROW][C]Teamwork33[/C][C]1[/C][C]0.144[/C][C]-0.011[/C][C]-0.266[/C][C]-0.146[/C][C]0.26[/C][C]-0.626[/C][/ROW]
[ROW][C]geslacht[/C][C]0.144[/C][C]1[/C][C]-0.379[/C][C]0.56[/C][C]-0.62[/C][C]-0.244[/C][C]-0.441[/C][/ROW]
[ROW][C]leeftijd[/C][C]-0.011[/C][C]-0.379[/C][C]1[/C][C]-0.422[/C][C]-0.033[/C][C]0.105[/C][C]0.144[/C][/ROW]
[ROW][C]opleiding[/C][C]-0.266[/C][C]0.56[/C][C]-0.422[/C][C]1[/C][C]-0.546[/C][C]-0.725[/C][C]0.105[/C][/ROW]
[ROW][C]Openheid[/C][C]-0.146[/C][C]-0.62[/C][C]-0.033[/C][C]-0.546[/C][C]1[/C][C]0.379[/C][C]0.17[/C][/ROW]
[ROW][C]Neuroticisme[/C][C]0.26[/C][C]-0.244[/C][C]0.105[/C][C]-0.725[/C][C]0.379[/C][C]1[/C][C]-0.422[/C][/ROW]
[ROW][C]Extraversie[/C][C]-0.626[/C][C]-0.441[/C][C]0.144[/C][C]0.105[/C][C]0.17[/C][C]-0.422[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114713&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114713&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=pearson)
Teamwork33geslachtleeftijdopleidingOpenheidNeuroticismeExtraversie
Teamwork3310.144-0.011-0.266-0.1460.26-0.626
geslacht0.1441-0.3790.56-0.62-0.244-0.441
leeftijd-0.011-0.3791-0.422-0.0330.1050.144
opleiding-0.2660.56-0.4221-0.546-0.7250.105
Openheid-0.146-0.62-0.033-0.54610.3790.17
Neuroticisme0.26-0.2440.105-0.7250.3791-0.422
Extraversie-0.626-0.4410.1440.1050.17-0.4221







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Teamwork33;geslacht0.14410.10440.0782
p-value(0.0445)(0.1466)(0.1442)
Teamwork33;leeftijd-0.01090.13330.0966
p-value(0.8796)(0.0633)(0.0642)
Teamwork33;opleiding-0.2657-0.2087-0.1482
p-value(2e-04)(0.0034)(0.0056)
Teamwork33;Openheid-0.1464-0.3106-0.2379
p-value(0.0412)(0)(0)
Teamwork33;Neuroticisme0.26040.13990.108
p-value(2e-04)(0.0511)(0.0432)
Teamwork33;Extraversie-0.6257-0.2302-0.1514
p-value(0)(0.0012)(0.0039)
geslacht;leeftijd-0.3788-0.3382-0.2462
p-value(0)(0)(0)
geslacht;opleiding0.55970.4290.3019
p-value(0)(0)(0)
geslacht;Openheid-0.6202-0.561-0.4051
p-value(0)(0)(0)
geslacht;Neuroticisme-0.2439-0.2045-0.1533
p-value(6e-04)(0.0041)(0.0031)
geslacht;Extraversie-0.4415-0.3355-0.2444
p-value(0)(0)(0)
leeftijd;opleiding-0.4217-0.4358-0.3141
p-value(0)(0)(0)
leeftijd;Openheid-0.0332-0.016-0.0147
p-value(0.6452)(0.8243)(0.7699)
leeftijd;Neuroticisme0.10540.16920.1123
p-value(0.1427)(0.018)(0.0262)
leeftijd;Extraversie0.14370.04060.025
p-value(0.045)(0.5727)(0.6152)
opleiding;Openheid-0.5458-0.3226-0.2464
p-value(0)(0)(0)
opleiding;Neuroticisme-0.7253-0.6601-0.4614
p-value(0)(0)(0)
opleiding;Extraversie0.1050.13470.093
p-value(0.1441)(0.0604)(0.0676)
Openheid;Neuroticisme0.37850.25140.1994
p-value(0)(4e-04)(1e-04)
Openheid;Extraversie0.16990.23080.1804
p-value(0.0176)(0.0012)(4e-04)
Neuroticisme;Extraversie-0.4221-0.3205-0.2264
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 & 0.1441 & 0.1044 & 0.0782 \tabularnewline
p-value & (0.0445) & (0.1466) & (0.1442) \tabularnewline
Teamwork33;leeftijd & -0.0109 & 0.1333 & 0.0966 \tabularnewline
p-value & (0.8796) & (0.0633) & (0.0642) \tabularnewline
Teamwork33;opleiding & -0.2657 & -0.2087 & -0.1482 \tabularnewline
p-value & (2e-04) & (0.0034) & (0.0056) \tabularnewline
Teamwork33;Openheid & -0.1464 & -0.3106 & -0.2379 \tabularnewline
p-value & (0.0412) & (0) & (0) \tabularnewline
Teamwork33;Neuroticisme & 0.2604 & 0.1399 & 0.108 \tabularnewline
p-value & (2e-04) & (0.0511) & (0.0432) \tabularnewline
Teamwork33;Extraversie & -0.6257 & -0.2302 & -0.1514 \tabularnewline
p-value & (0) & (0.0012) & (0.0039) \tabularnewline
geslacht;leeftijd & -0.3788 & -0.3382 & -0.2462 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
geslacht;opleiding & 0.5597 & 0.429 & 0.3019 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
geslacht;Openheid & -0.6202 & -0.561 & -0.4051 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
geslacht;Neuroticisme & -0.2439 & -0.2045 & -0.1533 \tabularnewline
p-value & (6e-04) & (0.0041) & (0.0031) \tabularnewline
geslacht;Extraversie & -0.4415 & -0.3355 & -0.2444 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
leeftijd;opleiding & -0.4217 & -0.4358 & -0.3141 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
leeftijd;Openheid & -0.0332 & -0.016 & -0.0147 \tabularnewline
p-value & (0.6452) & (0.8243) & (0.7699) \tabularnewline
leeftijd;Neuroticisme & 0.1054 & 0.1692 & 0.1123 \tabularnewline
p-value & (0.1427) & (0.018) & (0.0262) \tabularnewline
leeftijd;Extraversie & 0.1437 & 0.0406 & 0.025 \tabularnewline
p-value & (0.045) & (0.5727) & (0.6152) \tabularnewline
opleiding;Openheid & -0.5458 & -0.3226 & -0.2464 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
opleiding;Neuroticisme & -0.7253 & -0.6601 & -0.4614 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
opleiding;Extraversie & 0.105 & 0.1347 & 0.093 \tabularnewline
p-value & (0.1441) & (0.0604) & (0.0676) \tabularnewline
Openheid;Neuroticisme & 0.3785 & 0.2514 & 0.1994 \tabularnewline
p-value & (0) & (4e-04) & (1e-04) \tabularnewline
Openheid;Extraversie & 0.1699 & 0.2308 & 0.1804 \tabularnewline
p-value & (0.0176) & (0.0012) & (4e-04) \tabularnewline
Neuroticisme;Extraversie & -0.4221 & -0.3205 & -0.2264 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114713&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]0.1441[/C][C]0.1044[/C][C]0.0782[/C][/ROW]
[ROW][C]p-value[/C][C](0.0445)[/C][C](0.1466)[/C][C](0.1442)[/C][/ROW]
[ROW][C]Teamwork33;leeftijd[/C][C]-0.0109[/C][C]0.1333[/C][C]0.0966[/C][/ROW]
[ROW][C]p-value[/C][C](0.8796)[/C][C](0.0633)[/C][C](0.0642)[/C][/ROW]
[ROW][C]Teamwork33;opleiding[/C][C]-0.2657[/C][C]-0.2087[/C][C]-0.1482[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0.0034)[/C][C](0.0056)[/C][/ROW]
[ROW][C]Teamwork33;Openheid[/C][C]-0.1464[/C][C]-0.3106[/C][C]-0.2379[/C][/ROW]
[ROW][C]p-value[/C][C](0.0412)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Teamwork33;Neuroticisme[/C][C]0.2604[/C][C]0.1399[/C][C]0.108[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0.0511)[/C][C](0.0432)[/C][/ROW]
[ROW][C]Teamwork33;Extraversie[/C][C]-0.6257[/C][C]-0.2302[/C][C]-0.1514[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.0012)[/C][C](0.0039)[/C][/ROW]
[ROW][C]geslacht;leeftijd[/C][C]-0.3788[/C][C]-0.3382[/C][C]-0.2462[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;opleiding[/C][C]0.5597[/C][C]0.429[/C][C]0.3019[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;Openheid[/C][C]-0.6202[/C][C]-0.561[/C][C]-0.4051[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;Neuroticisme[/C][C]-0.2439[/C][C]-0.2045[/C][C]-0.1533[/C][/ROW]
[ROW][C]p-value[/C][C](6e-04)[/C][C](0.0041)[/C][C](0.0031)[/C][/ROW]
[ROW][C]geslacht;Extraversie[/C][C]-0.4415[/C][C]-0.3355[/C][C]-0.2444[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]leeftijd;opleiding[/C][C]-0.4217[/C][C]-0.4358[/C][C]-0.3141[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]leeftijd;Openheid[/C][C]-0.0332[/C][C]-0.016[/C][C]-0.0147[/C][/ROW]
[ROW][C]p-value[/C][C](0.6452)[/C][C](0.8243)[/C][C](0.7699)[/C][/ROW]
[ROW][C]leeftijd;Neuroticisme[/C][C]0.1054[/C][C]0.1692[/C][C]0.1123[/C][/ROW]
[ROW][C]p-value[/C][C](0.1427)[/C][C](0.018)[/C][C](0.0262)[/C][/ROW]
[ROW][C]leeftijd;Extraversie[/C][C]0.1437[/C][C]0.0406[/C][C]0.025[/C][/ROW]
[ROW][C]p-value[/C][C](0.045)[/C][C](0.5727)[/C][C](0.6152)[/C][/ROW]
[ROW][C]opleiding;Openheid[/C][C]-0.5458[/C][C]-0.3226[/C][C]-0.2464[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]opleiding;Neuroticisme[/C][C]-0.7253[/C][C]-0.6601[/C][C]-0.4614[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]opleiding;Extraversie[/C][C]0.105[/C][C]0.1347[/C][C]0.093[/C][/ROW]
[ROW][C]p-value[/C][C](0.1441)[/C][C](0.0604)[/C][C](0.0676)[/C][/ROW]
[ROW][C]Openheid;Neuroticisme[/C][C]0.3785[/C][C]0.2514[/C][C]0.1994[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](4e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Openheid;Extraversie[/C][C]0.1699[/C][C]0.2308[/C][C]0.1804[/C][/ROW]
[ROW][C]p-value[/C][C](0.0176)[/C][C](0.0012)[/C][C](4e-04)[/C][/ROW]
[ROW][C]Neuroticisme;Extraversie[/C][C]-0.4221[/C][C]-0.3205[/C][C]-0.2264[/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=114713&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114713&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
pairPearson rSpearman rhoKendall tau
Teamwork33;geslacht0.14410.10440.0782
p-value(0.0445)(0.1466)(0.1442)
Teamwork33;leeftijd-0.01090.13330.0966
p-value(0.8796)(0.0633)(0.0642)
Teamwork33;opleiding-0.2657-0.2087-0.1482
p-value(2e-04)(0.0034)(0.0056)
Teamwork33;Openheid-0.1464-0.3106-0.2379
p-value(0.0412)(0)(0)
Teamwork33;Neuroticisme0.26040.13990.108
p-value(2e-04)(0.0511)(0.0432)
Teamwork33;Extraversie-0.6257-0.2302-0.1514
p-value(0)(0.0012)(0.0039)
geslacht;leeftijd-0.3788-0.3382-0.2462
p-value(0)(0)(0)
geslacht;opleiding0.55970.4290.3019
p-value(0)(0)(0)
geslacht;Openheid-0.6202-0.561-0.4051
p-value(0)(0)(0)
geslacht;Neuroticisme-0.2439-0.2045-0.1533
p-value(6e-04)(0.0041)(0.0031)
geslacht;Extraversie-0.4415-0.3355-0.2444
p-value(0)(0)(0)
leeftijd;opleiding-0.4217-0.4358-0.3141
p-value(0)(0)(0)
leeftijd;Openheid-0.0332-0.016-0.0147
p-value(0.6452)(0.8243)(0.7699)
leeftijd;Neuroticisme0.10540.16920.1123
p-value(0.1427)(0.018)(0.0262)
leeftijd;Extraversie0.14370.04060.025
p-value(0.045)(0.5727)(0.6152)
opleiding;Openheid-0.5458-0.3226-0.2464
p-value(0)(0)(0)
opleiding;Neuroticisme-0.7253-0.6601-0.4614
p-value(0)(0)(0)
opleiding;Extraversie0.1050.13470.093
p-value(0.1441)(0.0604)(0.0676)
Openheid;Neuroticisme0.37850.25140.1994
p-value(0)(4e-04)(1e-04)
Openheid;Extraversie0.16990.23080.1804
p-value(0.0176)(0.0012)(4e-04)
Neuroticisme;Extraversie-0.4221-0.3205-0.2264
p-value(0)(0)(0)



Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = pearson ;
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')