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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 computationWed, 29 Dec 2010 17:46:53 +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/29/t1293644679se7c8azcyvnl3qs.htm/, Retrieved Fri, 03 May 2024 10:53:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=116993, Retrieved Fri, 03 May 2024 10:53:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact142

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] [d6e648f00513dd750579ba7880c5fbf5]
-         [Kendall tau Correlation Matrix] [] [2010-12-24 12:25:09] [e45804683e9a4263debf179d74e04a01]
-   PD      [Kendall tau Correlation Matrix] [] [2010-12-24 12:30:44] [e45804683e9a4263debf179d74e04a01]
-   PD        [Kendall tau Correlation Matrix] [] [2010-12-27 15:58:47] [e45804683e9a4263debf179d74e04a01]
-                 [Kendall tau Correlation Matrix] [] [2010-12-29 17:46:53] [15be6a7406d91c9912c2afdb984c54ee] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
40	1	27	5	26	49	35
45	1	36	4	25	45	34
38	1	25	4	17	54	13
28	1	27	3	37	36	35
NA	2	25	3	35	36	28
38	2	44	3	15	53	32
39	1	50	4	27	46	35
37	1	41	4	36	42	36
30	1	48	5	25	41	27
30	2	43	4	30	45	29
30	2	47	2	27	47	27
26	2	41	3	33	42	28
29	1	44	2	29	45	29
31	2	47	5	30	40	28
27	2	40	3	25	45	30
25	2	46	3	23	40	25
39	1	28	3	26	42	15
35	1	56	3	24	45	33
27	2	49	4	35	47	31
40	2	25	4	39	31	37
34	2	41	4	23	46	37
32	2	26	3	32	34	34
34	1	50	5	29	43	32
38	1	47	4	26	45	21
21	1	52	2	21	42	25
33	2	37	5	35	51	32
27	2	41	3	23	44	28
35	1	45	4	21	47	22
33	2	26	4	28	47	25
36	1	NA	3	30	41	26
NA	1	52	4	21	44	34
37	1	46	2	29	51	34
37	1	58	3	28	46	36
37	1	54	5	19	47	36
32	1	29	3	26	46	26
25	2	50	3	33	38	26
31	1	43	2	34	50	34
33	2	30	3	33	48	33
18	2	47	2	40	36	31
42	1	45	3	24	51	33
26	2	48	1	35	35	22
26	2	48	3	35	49	29
32	2	26	4	32	38	24
31	1	46	5	20	47	37
29	2	NA	3	35	36	32
35	2	50	3	35	47	23
44	1	25	4	21	46	29
35	1	47	2	33	43	35
30	2	47	2	40	53	20
32	1	41	3	22	55	28
24	2	45	2	35	39	26
34	2	41	4	20	55	36
27	2	45	5	28	41	26
31	2	40	3	46	33	33
38	1	29	4	18	52	25
41	2	34	5	22	42	29
40	1	45	5	20	56	32
25	2	52	3	25	46	35
19	2	41	4	31	33	24
33	2	48	3	21	51	31
27	2	45	3	23	46	29
45	1	54	2	26	46	27
27	2	25	3	34	50	29
30	2	26	4	31	46	29
42	1	28	4	23	51	27
21	2	50	4	31	48	34
32	2	48	4	26	44	32
31	2	51	3	36	38	31
36	2	53	3	28	42	31
34	1	37	3	34	39	31
11	1	56	2	25	45	16
35	1	43	3	33	31	25
39	1	34	3	46	29	27
32	1	42	3	24	48	32
28	2	32	3	32	38	28
45	2	31	5	33	55	25
18	1	46	3	42	32	25
35	2	30	5	17	51	36
35	2	47	4	36	53	36
36	2	33	4	40	47	36
34	1	25	4	30	45	27
34	1	25	5	19	33	29
38	2	21	4	33	49	32
28	2	36	5	35	46	29
23	2	50	3	23	42	31
37	2	48	3	15	56	34
29	2	48	2	38	35	27
28	1	25	3	37	40	28
30	1	48	4	23	44	32
24	2	49	5	41	46	33
36	1	27	5	34	46	29
40	1	28	3	38	39	32
37	2	43	2	45	35	35
27	2	48	3	27	48	33
25	2	48	4	46	42	27
22	1	25	1	26	39	16
21	2	49	4	44	39	32
28	1	26	3	36	41	26
34	1	51	3	20	52	32
32	2	25	4	44	45	38
23	1	29	3	27	42	24
29	1	29	4	27	44	26
35	1	43	2	41	33	19
31	2	46	3	30	42	37
36	1	44	3	33	46	25
32	1	25	3	37	45	24
35	1	51	2	30	40	23
45	1	42	5	20	48	28
29	2	53	5	44	32	38
41	1	25	4	20	53	28
36	2	49	2	33	39	28
37	1	51	3	31	45	26
25	2	20	3	23	36	21
36	2	44	3	33	38	35
34	2	38	4	33	49	31
33	1	46	5	32	46	34
32	2	42	4	25	43	30
40	1	29	NA	22	37	30
27	2	46	4	16	48	24
24	2	49	2	36	45	27
26	2	51	3	35	32	26
NA	1	38	3	25	46	30
13	1	41	1	27	20	15
22	2	47	3	32	42	28
29	2	44	3	36	45	34
30	2	47	3	51	29	29
24	2	46	3	30	51	26
NA	1	44	4	20	55	31
26	2	28	3	29	50	28
37	2	47	4	26	44	33
36	2	28	4	20	41	32
38	1	41	5	40	40	33
34	2	45	4	29	47	31
35	2	46	4	32	42	37
32	1	46	4	33	40	27
44	2	22	3	32	51	19
40	2	33	3	34	43	27
24	1	41	4	24	45	31
36	2	47	5	25	41	38
20	1	25	3	41	41	22
28	2	42	3	39	37	35
18	2	47	3	21	46	35
23	2	50	3	38	38	30
28	1	55	5	28	39	41
30	1	21	3	37	45	25
30	1	NA	3	26	46	28
43	1	52	3	30	39	45
20	2	49	4	25	21	21
37	2	46	4	38	31	33
24	1	NA	4	31	35	25
33	2	45	3	31	49	29
43	2	52	3	27	40	31
27	1	NA	3	21	45	29
22	2	40	4	26	46	31
28	2	49	4	37	45	31
18	1	38	5	28	34	25
38	1	32	5	29	41	27
23	2	46	4	33	43	26
38	2	32	3	41	45	26
21	2	41	3	19	48	23
25	2	43	3	37	43	27
NA	1	44	4	36	45	24
30	1	47	5	27	45	35
25	2	28	3	33	34	24
17	1	52	1	29	40	32
26	1	27	2	42	40	24
39	2	45	5	27	55	24
27	1	27	4	47	44	38
33	1	25	4	17	44	36
47	1	28	4	34	48	24
37	1	25	3	32	51	18
34	1	52	4	25	49	34
24	1	44	3	27	33	23
25	2	43	3	37	43	35
20	2	47	4	34	44	22
34	2	52	4	27	44	34
22	2	40	2	37	41	28
39	1	42	3	32	45	34
33	1	45	5	26	44	32
35	1	45	2	29	44	24
26	1	50	5	28	40	34
32	1	49	3	19	48	33
22	1	52	2	46	49	33
39	2	48	3	31	46	29
35	2	51	3	42	49	38
21	2	49	4	33	55	24
27	2	31	4	39	51	25
31	2	43	3	27	46	37
20	2	31	3	35	37	33
28	2	28	4	23	43	30
26	2	43	4	32	41	22
36	2	31	3	22	45	28
16	2	51	3	17	39	24
34	2	58	4	35	38	33
30	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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 4 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116993&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]4 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]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=116993&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116993&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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Correlations for all pairs of data series (method=kendall)
Intrinsieke_waardengeslachtleeftijdopleidingNeuroticismeExtraversieOpenheid
Intrinsieke_waarden1-0.2-0.1180.169-0.1140.2020.156
geslacht-0.210.074-0.0070.182-0.0330.074
leeftijd-0.1180.0741-0.086-0.04-0.0160.142
opleiding0.169-0.007-0.0861-0.1440.1210.185
Neuroticisme-0.1140.182-0.04-0.1441-0.2520.004
Extraversie0.202-0.033-0.0160.121-0.25210.069
Openheid 0.1560.0740.1420.1850.0040.0691

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Intrinsieke_waarden & geslacht & leeftijd & opleiding & Neuroticisme & Extraversie & Openheid
 \tabularnewline
Intrinsieke_waarden & 1 & -0.2 & -0.118 & 0.169 & -0.114 & 0.202 & 0.156 \tabularnewline
geslacht & -0.2 & 1 & 0.074 & -0.007 & 0.182 & -0.033 & 0.074 \tabularnewline
leeftijd & -0.118 & 0.074 & 1 & -0.086 & -0.04 & -0.016 & 0.142 \tabularnewline
opleiding & 0.169 & -0.007 & -0.086 & 1 & -0.144 & 0.121 & 0.185 \tabularnewline
Neuroticisme & -0.114 & 0.182 & -0.04 & -0.144 & 1 & -0.252 & 0.004 \tabularnewline
Extraversie & 0.202 & -0.033 & -0.016 & 0.121 & -0.252 & 1 & 0.069 \tabularnewline
Openheid
 & 0.156 & 0.074 & 0.142 & 0.185 & 0.004 & 0.069 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=116993&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Intrinsieke_waarden[/C][C]geslacht[/C][C]leeftijd[/C][C]opleiding[/C][C]Neuroticisme[/C][C]Extraversie[/C][C]Openheid
[/C][/ROW]
[ROW][C]Intrinsieke_waarden[/C][C]1[/C][C]-0.2[/C][C]-0.118[/C][C]0.169[/C][C]-0.114[/C][C]0.202[/C][C]0.156[/C][/ROW]
[ROW][C]geslacht[/C][C]-0.2[/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]-0.118[/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]0.169[/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]-0.114[/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]0.202[/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]0.156[/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=116993&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116993&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)
Intrinsieke_waardengeslachtleeftijdopleidingNeuroticismeExtraversieOpenheid
Intrinsieke_waarden1-0.2-0.1180.169-0.1140.2020.156
geslacht-0.210.074-0.0070.182-0.0330.074
leeftijd-0.1180.0741-0.086-0.04-0.0160.142
opleiding0.169-0.007-0.0861-0.1440.1210.185
Neuroticisme-0.1140.182-0.04-0.1441-0.2520.004
Extraversie0.202-0.033-0.0160.121-0.25210.069
Openheid 0.1560.0740.1420.1850.0040.0691






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Intrinsieke_waarden;geslacht-0.2115-0.2395-0.1996
p-value(0.0034)(9e-04)(0.001)
Intrinsieke_waarden;leeftijd-0.1914-0.1615-0.1182
p-value(0.0091)(0.0281)(0.0213)
Intrinsieke_waarden;opleiding0.25810.21690.1687
p-value(3e-04)(0.0027)(0.0027)
Intrinsieke_waarden;Neuroticisme-0.1453-0.1631-0.1136
p-value(0.0455)(0.0246)(0.0247)
Intrinsieke_waarden;Extraversie0.31210.28210.2024
p-value(0)(1e-04)(1e-04)
Intrinsieke_waarden;Openheid 0.21750.21120.1562
p-value(0.0026)(0.0034)(0.0022)
geslacht;leeftijd0.09560.08860.074
p-value(0.1896)(0.224)(0.2231)
geslacht;opleiding1e-04-0.0072-0.0066
p-value(0.9987)(0.9212)(0.9209)
geslacht;Neuroticisme0.1970.21880.1823
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 0.10680.08820.0741
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 0.21930.19350.1416
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;Extraversie0.18210.15850.1208
p-value(0.011)(0.0273)(0.0303)
opleiding;Openheid 0.27710.23540.1854
p-value(1e-04)(0.001)(9e-04)
Neuroticisme;Extraversie-0.3568-0.3427-0.2521
p-value(0)(0)(0)
Neuroticisme;Openheid 0.04570.00470.0036
p-value(0.5262)(0.9477)(0.9429)
Extraversie;Openheid 0.10590.09620.0692
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
Intrinsieke_waarden;geslacht & -0.2115 & -0.2395 & -0.1996 \tabularnewline
p-value & (0.0034) & (9e-04) & (0.001) \tabularnewline
Intrinsieke_waarden;leeftijd & -0.1914 & -0.1615 & -0.1182 \tabularnewline
p-value & (0.0091) & (0.0281) & (0.0213) \tabularnewline
Intrinsieke_waarden;opleiding & 0.2581 & 0.2169 & 0.1687 \tabularnewline
p-value & (3e-04) & (0.0027) & (0.0027) \tabularnewline
Intrinsieke_waarden;Neuroticisme & -0.1453 & -0.1631 & -0.1136 \tabularnewline
p-value & (0.0455) & (0.0246) & (0.0247) \tabularnewline
Intrinsieke_waarden;Extraversie & 0.3121 & 0.2821 & 0.2024 \tabularnewline
p-value & (0) & (1e-04) & (1e-04) \tabularnewline
Intrinsieke_waarden;Openheid
 & 0.2175 & 0.2112 & 0.1562 \tabularnewline
p-value & (0.0026) & (0.0034) & (0.0022) \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=116993&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]Intrinsieke_waarden;geslacht[/C][C]-0.2115[/C][C]-0.2395[/C][C]-0.1996[/C][/ROW]
[ROW][C]p-value[/C][C](0.0034)[/C][C](9e-04)[/C][C](0.001)[/C][/ROW]
[ROW][C]Intrinsieke_waarden;leeftijd[/C][C]-0.1914[/C][C]-0.1615[/C][C]-0.1182[/C][/ROW]
[ROW][C]p-value[/C][C](0.0091)[/C][C](0.0281)[/C][C](0.0213)[/C][/ROW]
[ROW][C]Intrinsieke_waarden;opleiding[/C][C]0.2581[/C][C]0.2169[/C][C]0.1687[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0.0027)[/C][C](0.0027)[/C][/ROW]
[ROW][C]Intrinsieke_waarden;Neuroticisme[/C][C]-0.1453[/C][C]-0.1631[/C][C]-0.1136[/C][/ROW]
[ROW][C]p-value[/C][C](0.0455)[/C][C](0.0246)[/C][C](0.0247)[/C][/ROW]
[ROW][C]Intrinsieke_waarden;Extraversie[/C][C]0.3121[/C][C]0.2821[/C][C]0.2024[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]Intrinsieke_waarden;Openheid
[/C][C]0.2175[/C][C]0.2112[/C][C]0.1562[/C][/ROW]
[ROW][C]p-value[/C][C](0.0026)[/C][C](0.0034)[/C][C](0.0022)[/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=116993&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=116993&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
Intrinsieke_waarden;geslacht-0.2115-0.2395-0.1996
p-value(0.0034)(9e-04)(0.001)
Intrinsieke_waarden;leeftijd-0.1914-0.1615-0.1182
p-value(0.0091)(0.0281)(0.0213)
Intrinsieke_waarden;opleiding0.25810.21690.1687
p-value(3e-04)(0.0027)(0.0027)
Intrinsieke_waarden;Neuroticisme-0.1453-0.1631-0.1136
p-value(0.0455)(0.0246)(0.0247)
Intrinsieke_waarden;Extraversie0.31210.28210.2024
p-value(0)(1e-04)(1e-04)
Intrinsieke_waarden;Openheid 0.21750.21120.1562
p-value(0.0026)(0.0034)(0.0022)
geslacht;leeftijd0.09560.08860.074
p-value(0.1896)(0.224)(0.2231)
geslacht;opleiding1e-04-0.0072-0.0066
p-value(0.9987)(0.9212)(0.9209)
geslacht;Neuroticisme0.1970.21880.1823
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 0.10680.08820.0741
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 0.21930.19350.1416
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;Extraversie0.18210.15850.1208
p-value(0.011)(0.0273)(0.0303)
opleiding;Openheid 0.27710.23540.1854
p-value(1e-04)(0.001)(9e-04)
Neuroticisme;Extraversie-0.3568-0.3427-0.2521
p-value(0)(0)(0)
Neuroticisme;Openheid 0.04570.00470.0036
p-value(0.5262)(0.9477)(0.9429)
Extraversie;Openheid 0.10590.09620.0692
p-value(0.1408)(0.1811)(0.171)


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')