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R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 24 Dec 2010 10:19:43 +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/t12931858460lp3jln47t6ge90.htm/, Retrieved Tue, 30 Apr 2024 02:03:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=114702, Retrieved Tue, 30 Apr 2024 02:03:34 +0000
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Estimated Impact139
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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	NA	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	NA	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	NA	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	NA 	4	25	31	35
3	2	45	3	29	31	49
2	2	52	3	31	27	40
3	1	NA	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'RServer@AstonUniversity' @ vre.aston.ac.uk
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 & 'RServer@AstonUniversity' @ vre.aston.ac.uk \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=114702&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]'RServer@AstonUniversity' @ vre.aston.ac.uk[/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=114702&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114702&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'RServer@AstonUniversity' @ vre.aston.ac.uk
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
Teamwork331-0.5890.4240.3740.615-0.88-0.386
geslacht-0.5891-0.8580.332-0.3530.76-0.387
leeftijd0.424-0.8581-0.4940.251-0.6310.58
opleiding0.3740.332-0.49410.289-0.136-0.881
Openheid0.615-0.3530.2510.2891-0.64-0.333
Neuroticisme-0.880.76-0.631-0.136-0.6410.129
Extraversie -0.386-0.3870.58-0.881-0.3330.1291

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Teamwork33 & geslacht & leeftijd & opleiding & Openheid & Neuroticisme & Extraversie
 \tabularnewline
Teamwork33 & 1 & -0.589 & 0.424 & 0.374 & 0.615 & -0.88 & -0.386 \tabularnewline
geslacht & -0.589 & 1 & -0.858 & 0.332 & -0.353 & 0.76 & -0.387 \tabularnewline
leeftijd & 0.424 & -0.858 & 1 & -0.494 & 0.251 & -0.631 & 0.58 \tabularnewline
opleiding & 0.374 & 0.332 & -0.494 & 1 & 0.289 & -0.136 & -0.881 \tabularnewline
Openheid & 0.615 & -0.353 & 0.251 & 0.289 & 1 & -0.64 & -0.333 \tabularnewline
Neuroticisme & -0.88 & 0.76 & -0.631 & -0.136 & -0.64 & 1 & 0.129 \tabularnewline
Extraversie
 & -0.386 & -0.387 & 0.58 & -0.881 & -0.333 & 0.129 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114702&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]-0.589[/C][C]0.424[/C][C]0.374[/C][C]0.615[/C][C]-0.88[/C][C]-0.386[/C][/ROW]
[ROW][C]geslacht[/C][C]-0.589[/C][C]1[/C][C]-0.858[/C][C]0.332[/C][C]-0.353[/C][C]0.76[/C][C]-0.387[/C][/ROW]
[ROW][C]leeftijd[/C][C]0.424[/C][C]-0.858[/C][C]1[/C][C]-0.494[/C][C]0.251[/C][C]-0.631[/C][C]0.58[/C][/ROW]
[ROW][C]opleiding[/C][C]0.374[/C][C]0.332[/C][C]-0.494[/C][C]1[/C][C]0.289[/C][C]-0.136[/C][C]-0.881[/C][/ROW]
[ROW][C]Openheid[/C][C]0.615[/C][C]-0.353[/C][C]0.251[/C][C]0.289[/C][C]1[/C][C]-0.64[/C][C]-0.333[/C][/ROW]
[ROW][C]Neuroticisme[/C][C]-0.88[/C][C]0.76[/C][C]-0.631[/C][C]-0.136[/C][C]-0.64[/C][C]1[/C][C]0.129[/C][/ROW]
[ROW][C]Extraversie
[/C][C]-0.386[/C][C]-0.387[/C][C]0.58[/C][C]-0.881[/C][C]-0.333[/C][C]0.129[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114702&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114702&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
Teamwork331-0.5890.4240.3740.615-0.88-0.386
geslacht-0.5891-0.8580.332-0.3530.76-0.387
leeftijd0.424-0.8581-0.4940.251-0.6310.58
opleiding0.3740.332-0.49410.289-0.136-0.881
Openheid0.615-0.3530.2510.2891-0.64-0.333
Neuroticisme-0.880.76-0.631-0.136-0.6410.129
Extraversie -0.386-0.3870.58-0.881-0.3330.1291







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Teamwork33;geslacht-0.5887-0.5602-0.3325
p-value(0)(0)(0)
Teamwork33;leeftijd0.4240.63540.4347
p-value(0)(0)(0)
Teamwork33;opleiding0.37370.12880.0901
p-value(0)(0.075)(0.0827)
Teamwork33;Openheid0.61510.5630.4036
p-value(0)(0)(0)
Teamwork33;Neuroticisme-0.8799-0.8572-0.6978
p-value(0)(0)(0)
Teamwork33;Extraversie -0.386-0.4457-0.263
p-value(0)(0)(0)
geslacht;leeftijd-0.8576-0.8134-0.6313
p-value(0)(0)(0)
geslacht;opleiding0.33250.40980.284
p-value(0)(0)(0)
geslacht;Openheid-0.3527-0.1408-0.0997
p-value(0)(0.0503)(0.0502)
geslacht;Neuroticisme0.75980.55270.3406
p-value(0)(0)(0)
geslacht;Extraversie -0.3869-0.1944-0.1016
p-value(0)(0.0066)(0.0587)
leeftijd;opleiding-0.4944-0.3184-0.2031
p-value(0)(0)(1e-04)
leeftijd;Openheid0.25120.21470.1263
p-value(4e-04)(0.0026)(0.012)
leeftijd;Neuroticisme-0.6313-0.6055-0.3787
p-value(0)(0)(0)
leeftijd;Extraversie 0.57980.049-0.0143
p-value(0)(0.4973)(0.7882)
opleiding;Openheid0.28920.2570.1776
p-value(0)(3e-04)(4e-04)
opleiding;Neuroticisme-0.1362-0.0597-0.0308
p-value(0.0576)(0.4072)(0.5399)
opleiding;Extraversie -0.8812-0.5428-0.4047
p-value(0)(0)(0)
Openheid;Neuroticisme-0.6399-0.6173-0.4409
p-value(0)(0)(0)
Openheid;Extraversie -0.3331-0.5282-0.3752
p-value(0)(0)(0)
Neuroticisme;Extraversie 0.12920.45860.2731
p-value(0.0719)(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 & -0.5887 & -0.5602 & -0.3325 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Teamwork33;leeftijd & 0.424 & 0.6354 & 0.4347 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Teamwork33;opleiding & 0.3737 & 0.1288 & 0.0901 \tabularnewline
p-value & (0) & (0.075) & (0.0827) \tabularnewline
Teamwork33;Openheid & 0.6151 & 0.563 & 0.4036 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Teamwork33;Neuroticisme & -0.8799 & -0.8572 & -0.6978 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Teamwork33;Extraversie
 & -0.386 & -0.4457 & -0.263 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
geslacht;leeftijd & -0.8576 & -0.8134 & -0.6313 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
geslacht;opleiding & 0.3325 & 0.4098 & 0.284 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
geslacht;Openheid & -0.3527 & -0.1408 & -0.0997 \tabularnewline
p-value & (0) & (0.0503) & (0.0502) \tabularnewline
geslacht;Neuroticisme & 0.7598 & 0.5527 & 0.3406 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
geslacht;Extraversie
 & -0.3869 & -0.1944 & -0.1016 \tabularnewline
p-value & (0) & (0.0066) & (0.0587) \tabularnewline
leeftijd;opleiding & -0.4944 & -0.3184 & -0.2031 \tabularnewline
p-value & (0) & (0) & (1e-04) \tabularnewline
leeftijd;Openheid & 0.2512 & 0.2147 & 0.1263 \tabularnewline
p-value & (4e-04) & (0.0026) & (0.012) \tabularnewline
leeftijd;Neuroticisme & -0.6313 & -0.6055 & -0.3787 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
leeftijd;Extraversie
 & 0.5798 & 0.049 & -0.0143 \tabularnewline
p-value & (0) & (0.4973) & (0.7882) \tabularnewline
opleiding;Openheid & 0.2892 & 0.257 & 0.1776 \tabularnewline
p-value & (0) & (3e-04) & (4e-04) \tabularnewline
opleiding;Neuroticisme & -0.1362 & -0.0597 & -0.0308 \tabularnewline
p-value & (0.0576) & (0.4072) & (0.5399) \tabularnewline
opleiding;Extraversie
 & -0.8812 & -0.5428 & -0.4047 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Openheid;Neuroticisme & -0.6399 & -0.6173 & -0.4409 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Openheid;Extraversie
 & -0.3331 & -0.5282 & -0.3752 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Neuroticisme;Extraversie
 & 0.1292 & 0.4586 & 0.2731 \tabularnewline
p-value & (0.0719) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=114702&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]-0.5887[/C][C]-0.5602[/C][C]-0.3325[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Teamwork33;leeftijd[/C][C]0.424[/C][C]0.6354[/C][C]0.4347[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Teamwork33;opleiding[/C][C]0.3737[/C][C]0.1288[/C][C]0.0901[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.075)[/C][C](0.0827)[/C][/ROW]
[ROW][C]Teamwork33;Openheid[/C][C]0.6151[/C][C]0.563[/C][C]0.4036[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Teamwork33;Neuroticisme[/C][C]-0.8799[/C][C]-0.8572[/C][C]-0.6978[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Teamwork33;Extraversie
[/C][C]-0.386[/C][C]-0.4457[/C][C]-0.263[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;leeftijd[/C][C]-0.8576[/C][C]-0.8134[/C][C]-0.6313[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;opleiding[/C][C]0.3325[/C][C]0.4098[/C][C]0.284[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;Openheid[/C][C]-0.3527[/C][C]-0.1408[/C][C]-0.0997[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.0503)[/C][C](0.0502)[/C][/ROW]
[ROW][C]geslacht;Neuroticisme[/C][C]0.7598[/C][C]0.5527[/C][C]0.3406[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]geslacht;Extraversie
[/C][C]-0.3869[/C][C]-0.1944[/C][C]-0.1016[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.0066)[/C][C](0.0587)[/C][/ROW]
[ROW][C]leeftijd;opleiding[/C][C]-0.4944[/C][C]-0.3184[/C][C]-0.2031[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]leeftijd;Openheid[/C][C]0.2512[/C][C]0.2147[/C][C]0.1263[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0.0026)[/C][C](0.012)[/C][/ROW]
[ROW][C]leeftijd;Neuroticisme[/C][C]-0.6313[/C][C]-0.6055[/C][C]-0.3787[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]leeftijd;Extraversie
[/C][C]0.5798[/C][C]0.049[/C][C]-0.0143[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0.4973)[/C][C](0.7882)[/C][/ROW]
[ROW][C]opleiding;Openheid[/C][C]0.2892[/C][C]0.257[/C][C]0.1776[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](3e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]opleiding;Neuroticisme[/C][C]-0.1362[/C][C]-0.0597[/C][C]-0.0308[/C][/ROW]
[ROW][C]p-value[/C][C](0.0576)[/C][C](0.4072)[/C][C](0.5399)[/C][/ROW]
[ROW][C]opleiding;Extraversie
[/C][C]-0.8812[/C][C]-0.5428[/C][C]-0.4047[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Openheid;Neuroticisme[/C][C]-0.6399[/C][C]-0.6173[/C][C]-0.4409[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Openheid;Extraversie
[/C][C]-0.3331[/C][C]-0.5282[/C][C]-0.3752[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Neuroticisme;Extraversie
[/C][C]0.1292[/C][C]0.4586[/C][C]0.2731[/C][/ROW]
[ROW][C]p-value[/C][C](0.0719)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=114702&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=114702&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;geslacht-0.5887-0.5602-0.3325
p-value(0)(0)(0)
Teamwork33;leeftijd0.4240.63540.4347
p-value(0)(0)(0)
Teamwork33;opleiding0.37370.12880.0901
p-value(0)(0.075)(0.0827)
Teamwork33;Openheid0.61510.5630.4036
p-value(0)(0)(0)
Teamwork33;Neuroticisme-0.8799-0.8572-0.6978
p-value(0)(0)(0)
Teamwork33;Extraversie -0.386-0.4457-0.263
p-value(0)(0)(0)
geslacht;leeftijd-0.8576-0.8134-0.6313
p-value(0)(0)(0)
geslacht;opleiding0.33250.40980.284
p-value(0)(0)(0)
geslacht;Openheid-0.3527-0.1408-0.0997
p-value(0)(0.0503)(0.0502)
geslacht;Neuroticisme0.75980.55270.3406
p-value(0)(0)(0)
geslacht;Extraversie -0.3869-0.1944-0.1016
p-value(0)(0.0066)(0.0587)
leeftijd;opleiding-0.4944-0.3184-0.2031
p-value(0)(0)(1e-04)
leeftijd;Openheid0.25120.21470.1263
p-value(4e-04)(0.0026)(0.012)
leeftijd;Neuroticisme-0.6313-0.6055-0.3787
p-value(0)(0)(0)
leeftijd;Extraversie 0.57980.049-0.0143
p-value(0)(0.4973)(0.7882)
opleiding;Openheid0.28920.2570.1776
p-value(0)(3e-04)(4e-04)
opleiding;Neuroticisme-0.1362-0.0597-0.0308
p-value(0.0576)(0.4072)(0.5399)
opleiding;Extraversie -0.8812-0.5428-0.4047
p-value(0)(0)(0)
Openheid;Neuroticisme-0.6399-0.6173-0.4409
p-value(0)(0)(0)
Openheid;Extraversie -0.3331-0.5282-0.3752
p-value(0)(0)(0)
Neuroticisme;Extraversie 0.12920.45860.2731
p-value(0.0719)(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')