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Author's title

Author*The author of this computation has been verified*
R Software ModulePatrick.Wessarwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 10 Dec 2010 14:32:37 +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/10/t12919917938l6urkw88fn85xn.htm/, Retrieved Mon, 29 Apr 2024 13:56:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=107729, Retrieved Mon, 29 Apr 2024 13:56:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact133
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 17:44:33] [b98453cac15ba1066b407e146608df68]
- R PD  [Kendall tau Correlation Matrix] [] [2010-12-10 12:40:09] [39e83c7b0ac936e906a817a1bb402750]
-    D    [Kendall tau Correlation Matrix] [] [2010-12-10 14:28:08] [39e83c7b0ac936e906a817a1bb402750]
-   P         [Kendall tau Correlation Matrix] [] [2010-12-10 14:32:37] [558c060a42ec367ec2c020fab85c25c7] [Current]
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Dataseries X:
23	13	14	22	11	23	8	1	6	15
20	12	7	20	22	24	4	2	5	23
26	26	22	25	23	24	7	2	20	26
19	16	12	23	21	21	4	2	12	19
17	18	15	20	19	21	4	2	11	19
17	12	9	22	12	19	5	2	12	16
21	18	20	18	24	12	15	1	11	23
18	20	10	22	21	21	5	1	9	22
16	18	12	23	21	25	7	2	13	19
26	24	23	28	26	27	4	2	9	24
20	17	10	19	18	21	4	1	14	19
14	19	11	26	21	27	7	1	12	25
22	12	20	27	22	20	8	1	18	23
23	25	11	23	26	16	4	2	9	31
25	23	22	27	20	26	8	1	15	29
24	22	19	23	20	24	4	2	12	18
24	23	20	23	26	25	5	2	12	17
16	16	16	19	27	25	16	1	12	22
16	16	12	21	27	27	7	1	15	21
20	15	14	25	16	23	4	2	11	24
20	24	14	22	26	22	6	1	13	22
15	18	9	13	20	10	4	1	10	16
22	23	19	12	25	25	5	2	17	22
20	18	17	20	16	18	4	1	13	21
20	19	14	24	20	21	4	1	17	25
24	17	19	23	20	20	6	1	15	22
27	22	20	25	24	18	4	1	13	24
25	22	20	28	24	25	4	1	17	25
13	8	9	24	22	28	4	1	21	29
15	12	10	18	18	27	8	1	12	19
19	22	6	19	21	20	5	2	12	29
20	16	15	24	17	20	4	1	15	25
11	12	9	22	15	20	10	2	8	19
28	28	24	28	28	27	4	2	15	27
21	15	11	24	23	23	4	1	16	25
25	17	4	28	19	23	4	2	9	23
22	16	12	21	15	22	5	2	13	24
24	24	22	25	26	26	5	1	11	25
21	27	16	23	20	21	4	1	9	23
15	10	14	17	11	17	6	1	15	22
22	20	13	27	17	27	4	2	9	32
18	17	13	18	16	16	4	2	15	22
23	20	10	23	21	26	4	1	14	18
20	16	12	18	18	17	4	1	8	19
23	16	13	28	17	24	4	2	11	23
24	22	16	28	21	23	4	2	14	24
19	19	18	22	18	20	6	1	14	19
16	11	10	23	16	10	4	1	12	16
18	11	12	22	13	21	5	1	15	23
28	28	9	28	28	25	4	1	11	17
18	12	7	23	25	28	4	1	11	17
21	22	16	26	24	25	5	2	9	28
15	15	12	20	15	20	10	2	8	24
18	19	15	20	21	20	10	1	13	21
24	12	15	28	11	27	4	1	12	14
23	18	8	28	27	26	4	1	24	21
20	21	14	22	23	19	4	2	11	20
20	21	13	21	21	26	8	1	11	25
24	15	18	21	16	20	4	2	16	20
17	12	11	19	20	22	14	1	12	17
26	25	12	21	21	19	4	2	18	26
18	12	12	21	10	23	5	2	12	17
26	25	24	28	18	28	4	2	14	17
21	17	11	23	20	22	8	2	16	24
20	26	5	27	21	27	4	2	24	30
25	24	17	23	24	14	4	1	13	25
9	18	9	23	26	25	5	1	11	15
23	20	20	23	23	22	8	1	14	25
20	17	17	26	22	24	7	1	16	18
19	11	14	23	13	23	4	1	12	20
26	27	23	27	27	25	4	1	21	32
13	14	10	20	24	28	9	2	11	14
21	22	19	28	19	28	4	1	6	20
14	19	5	19	17	16	4	2	9	25
26	19	16	24	16	25	5	1	14	25
23	18	19	26	20	21	4	1	16	25
19	9	5	20	8	27	4	1	18	35
25	22	15	25	16	21	6	2	9	29
21	17	18	25	17	22	6	1	13	25
24	23	20	27	23	26	4	2	17	21
20	16	17	22	18	21	6	1	11	21
22	23	19	25	24	24	4	1	16	24
20	13	11	26	17	24	6	1	11	26
23	21	12	21	20	23	4	1	11	24
21	17	13	23	22	26	8	2	11	20
16	15	7	24	22	21	5	1	20	24
20	16	8	24	20	24	8	1	10	18
16	19	15	20	18	23	7	1	12	17
25	19	13	22	21	21	4	2	11	22
18	16	18	25	23	20	6	1	14	22
25	23	19	27	28	22	4	1	12	22
21	19	12	22	19	26	5	1	12	24
18	17	12	20	22	23	6	1	12	32
21	20	17	24	17	23	4	2	10	19
22	25	17	25	25	22	4	2	12	21
22	22	11	28	22	25	4	2	10	23
19	18	11	20	21	21	8	2	10	18
18	16	17	22	15	21	9	1	13	19
24	18	5	17	20	25	4	1	12	22
23	15	8	20	25	26	12	2	13	27
22	19	17	23	21	21	4	1	9	21
19	23	18	22	24	24	8	1	14	20
17	20	17	22	23	21	8	2	14	21
22	24	17	23	22	23	4	1	12	20
24	17	10	25	14	24	4	1	18	29
24	20	8	28	11	24	4	1	17	30
20	11	9	24	22	24	15	1	12	10
19	20	13	25	22	25	3	1	15	23
19	8	14	25	6	28	8	1	8	29
20	22	5	21	15	18	4	2	8	19
22	20	16	25	26	28	5	1	12	26
25	23	22	23	26	22	4	1	10	22
21	11	15	20	20	28	3	1	18	26
21	22	14	26	26	22	11	1	15	27
18	10	8	21	15	24	6	1	16	19
17	19	10	24	25	27	4	2	11	24
25	26	18	24	22	21	5	2	10	26
23	22	18	25	20	26	4	2	7	22
15	12	9	20	18	24	16	1	17	23
22	13	15	25	23	25	8	1	7	25
20	19	9	11	22	20	4	2	14	19
23	19	15	24	23	21	4	1	12	20
26	21	21	23	17	23	4	1	15	25
16	11	9	24	20	23	5	1	13	14
22	21	16	24	21	19	8	2	10	19
22	25	15	26	23	22	4	1	16	27
25	27	10	27	25	15	4	2	11	21
14	21	4	21	25	24	4	2	7	21
18	14	12	20	21	18	8	2	15	14
16	16	14	18	22	18	8	1	18	21
22	16	14	23	18	23	4	1	11	23
17	19	18	20	18	17	18	1	13	18
27	24	19	24	18	19	4	2	11	20
21	18	16	20	21	21	5	2	13	19
15	16	7	21	21	12	4	2	12	15
24	20	12	28	25	25	4	2	11	23
22	19	18	24	24	25	4	1	11	26
16	20	13	25	24	24	7	1	13	21
25	27	21	23	28	24	4	2	8	13
24	24	24	24	24	24	6	2	12	24
23	23	17	22	22	22	4	2	9	17
20	20	12	25	22	22	4	1	14	21
18	20	12	20	20	21	6	1	18	28
22	20	10	24	25	23	5	1	15	22
18	15	14	19	13	21	4	1	9	18
20	17	14	25	21	24	8	1	11	27
22	16	13	25	23	22	6	1	17	25
23	20	17	26	18	25	5	2	12	21




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time5 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 & 5 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107729&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]5 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=107729&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107729&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 time5 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Correlations for all pairs of data series (method=kendall)
I/ToKnowI/Accomp.I/Exp.StimulationE/IdentifiedE/IntrojectedE/Ext.RegulationAmotivationgenderPEPS
I/ToKnow10.4270.3820.3870.1650.12-0.2790.120.0220.206
I/Accomp.0.42710.3290.2520.3680.038-0.2260.208-0.0460.158
I/Exp.Stimulation0.3820.32910.2070.1420.0050.008-0.0320.0620.069
E/Identified0.3870.2520.20710.1710.307-0.192-0.0060.0450.219
E/Introjected0.1650.3680.1420.17110.165-0.0040.0250.0390.074
E/Ext.Regulation0.120.0380.0050.3070.1651-0.018-0.0560.0220.134
Amotivation-0.279-0.2260.008-0.192-0.004-0.0181-0.1250.031-0.052
gender0.120.208-0.032-0.0060.025-0.056-0.1251-0.234-0.077
PE0.022-0.0460.0620.0450.0390.0220.031-0.23410.18
PS0.2060.1580.0690.2190.0740.134-0.052-0.0770.181

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & I/ToKnow & I/Accomp. & I/Exp.Stimulation & E/Identified & E/Introjected & E/Ext.Regulation & Amotivation & gender & PE & PS \tabularnewline
I/ToKnow & 1 & 0.427 & 0.382 & 0.387 & 0.165 & 0.12 & -0.279 & 0.12 & 0.022 & 0.206 \tabularnewline
I/Accomp. & 0.427 & 1 & 0.329 & 0.252 & 0.368 & 0.038 & -0.226 & 0.208 & -0.046 & 0.158 \tabularnewline
I/Exp.Stimulation & 0.382 & 0.329 & 1 & 0.207 & 0.142 & 0.005 & 0.008 & -0.032 & 0.062 & 0.069 \tabularnewline
E/Identified & 0.387 & 0.252 & 0.207 & 1 & 0.171 & 0.307 & -0.192 & -0.006 & 0.045 & 0.219 \tabularnewline
E/Introjected & 0.165 & 0.368 & 0.142 & 0.171 & 1 & 0.165 & -0.004 & 0.025 & 0.039 & 0.074 \tabularnewline
E/Ext.Regulation & 0.12 & 0.038 & 0.005 & 0.307 & 0.165 & 1 & -0.018 & -0.056 & 0.022 & 0.134 \tabularnewline
Amotivation & -0.279 & -0.226 & 0.008 & -0.192 & -0.004 & -0.018 & 1 & -0.125 & 0.031 & -0.052 \tabularnewline
gender & 0.12 & 0.208 & -0.032 & -0.006 & 0.025 & -0.056 & -0.125 & 1 & -0.234 & -0.077 \tabularnewline
PE & 0.022 & -0.046 & 0.062 & 0.045 & 0.039 & 0.022 & 0.031 & -0.234 & 1 & 0.18 \tabularnewline
PS & 0.206 & 0.158 & 0.069 & 0.219 & 0.074 & 0.134 & -0.052 & -0.077 & 0.18 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107729&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]I/ToKnow[/C][C]I/Accomp.[/C][C]I/Exp.Stimulation[/C][C]E/Identified[/C][C]E/Introjected[/C][C]E/Ext.Regulation[/C][C]Amotivation[/C][C]gender[/C][C]PE[/C][C]PS[/C][/ROW]
[ROW][C]I/ToKnow[/C][C]1[/C][C]0.427[/C][C]0.382[/C][C]0.387[/C][C]0.165[/C][C]0.12[/C][C]-0.279[/C][C]0.12[/C][C]0.022[/C][C]0.206[/C][/ROW]
[ROW][C]I/Accomp.[/C][C]0.427[/C][C]1[/C][C]0.329[/C][C]0.252[/C][C]0.368[/C][C]0.038[/C][C]-0.226[/C][C]0.208[/C][C]-0.046[/C][C]0.158[/C][/ROW]
[ROW][C]I/Exp.Stimulation[/C][C]0.382[/C][C]0.329[/C][C]1[/C][C]0.207[/C][C]0.142[/C][C]0.005[/C][C]0.008[/C][C]-0.032[/C][C]0.062[/C][C]0.069[/C][/ROW]
[ROW][C]E/Identified[/C][C]0.387[/C][C]0.252[/C][C]0.207[/C][C]1[/C][C]0.171[/C][C]0.307[/C][C]-0.192[/C][C]-0.006[/C][C]0.045[/C][C]0.219[/C][/ROW]
[ROW][C]E/Introjected[/C][C]0.165[/C][C]0.368[/C][C]0.142[/C][C]0.171[/C][C]1[/C][C]0.165[/C][C]-0.004[/C][C]0.025[/C][C]0.039[/C][C]0.074[/C][/ROW]
[ROW][C]E/Ext.Regulation[/C][C]0.12[/C][C]0.038[/C][C]0.005[/C][C]0.307[/C][C]0.165[/C][C]1[/C][C]-0.018[/C][C]-0.056[/C][C]0.022[/C][C]0.134[/C][/ROW]
[ROW][C]Amotivation[/C][C]-0.279[/C][C]-0.226[/C][C]0.008[/C][C]-0.192[/C][C]-0.004[/C][C]-0.018[/C][C]1[/C][C]-0.125[/C][C]0.031[/C][C]-0.052[/C][/ROW]
[ROW][C]gender[/C][C]0.12[/C][C]0.208[/C][C]-0.032[/C][C]-0.006[/C][C]0.025[/C][C]-0.056[/C][C]-0.125[/C][C]1[/C][C]-0.234[/C][C]-0.077[/C][/ROW]
[ROW][C]PE[/C][C]0.022[/C][C]-0.046[/C][C]0.062[/C][C]0.045[/C][C]0.039[/C][C]0.022[/C][C]0.031[/C][C]-0.234[/C][C]1[/C][C]0.18[/C][/ROW]
[ROW][C]PS[/C][C]0.206[/C][C]0.158[/C][C]0.069[/C][C]0.219[/C][C]0.074[/C][C]0.134[/C][C]-0.052[/C][C]-0.077[/C][C]0.18[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107729&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107729&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)
I/ToKnowI/Accomp.I/Exp.StimulationE/IdentifiedE/IntrojectedE/Ext.RegulationAmotivationgenderPEPS
I/ToKnow10.4270.3820.3870.1650.12-0.2790.120.0220.206
I/Accomp.0.42710.3290.2520.3680.038-0.2260.208-0.0460.158
I/Exp.Stimulation0.3820.32910.2070.1420.0050.008-0.0320.0620.069
E/Identified0.3870.2520.20710.1710.307-0.192-0.0060.0450.219
E/Introjected0.1650.3680.1420.17110.165-0.0040.0250.0390.074
E/Ext.Regulation0.120.0380.0050.3070.1651-0.018-0.0560.0220.134
Amotivation-0.279-0.2260.008-0.192-0.004-0.0181-0.1250.031-0.052
gender0.120.208-0.032-0.0060.025-0.056-0.1251-0.234-0.077
PE0.022-0.0460.0620.0450.0390.0220.031-0.23410.18
PS0.2060.1580.0690.2190.0740.134-0.052-0.0770.181







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
I/ToKnow;I/Accomp.0.55860.57050.4267
p-value(0)(0)(0)
I/ToKnow;I/Exp.Stimulation0.50160.49570.3822
p-value(0)(0)(0)
I/ToKnow;E/Identified0.46090.51950.3874
p-value(0)(0)(0)
I/ToKnow;E/Introjected0.19370.21670.1652
p-value(0.0183)(0.0081)(0.0053)
I/ToKnow;E/Ext.Regulation0.14520.15180.1205
p-value(0.0783)(0.0654)(0.0437)
I/ToKnow;Amotivation-0.3249-0.3603-0.2794
p-value(1e-04)(0)(0)
I/ToKnow;gender0.12090.14170.1203
p-value(0.1432)(0.0858)(0.0858)
I/ToKnow;PE0.05710.02870.0217
p-value(0.4909)(0.7289)(0.7174)
I/ToKnow;PS0.25470.27960.2063
p-value(0.0018)(6e-04)(5e-04)
I/Accomp.;I/Exp.Stimulation0.4320.43890.3289
p-value(0)(0)(0)
I/Accomp.;E/Identified0.29470.34810.252
p-value(3e-04)(0)(0)
I/Accomp.;E/Introjected0.54540.48540.3684
p-value(0)(0)(0)
I/Accomp.;E/Ext.Regulation0.00880.04790.0377
p-value(0.9151)(0.5631)(0.5253)
I/Accomp.;Amotivation-0.2758-0.2905-0.2257
p-value(7e-04)(3e-04)(4e-04)
I/Accomp.;gender0.25880.24660.208
p-value(0.0015)(0.0025)(0.0028)
I/Accomp.;PE-0.0198-0.0605-0.0464
p-value(0.8108)(0.465)(0.4354)
I/Accomp.;PS0.18790.20960.158
p-value(0.0222)(0.0106)(0.0073)
I/Exp.Stimulation;E/Identified0.26830.27480.2069
p-value(0.001)(7e-04)(5e-04)
I/Exp.Stimulation;E/Introjected0.21910.18890.1423
p-value(0.0075)(0.0215)(0.0155)
I/Exp.Stimulation;E/Ext.Regulation0.06970.00790.0047
p-value(0.4)(0.9245)(0.9361)
I/Exp.Stimulation;Amotivation0.00350.01180.0078
p-value(0.9668)(0.8872)(0.9021)
I/Exp.Stimulation;gender-0.0365-0.0385-0.0324
p-value(0.6598)(0.642)(0.6404)
I/Exp.Stimulation;PE0.03940.07840.0616
p-value(0.6341)(0.3438)(0.2996)
I/Exp.Stimulation;PS0.05730.09290.0691
p-value(0.4894)(0.2616)(0.2391)
E/Identified;E/Introjected0.1660.23010.1707
p-value(0.0438)(0.0049)(0.0043)
E/Identified;E/Ext.Regulation0.39110.39340.3065
p-value(0)(0)(0)
E/Identified;Amotivation-0.2328-0.2406-0.1918
p-value(0.0044)(0.0032)(0.0028)
E/Identified;gender-0.0086-0.007-0.006
p-value(0.9171)(0.9329)(0.9325)
E/Identified;PE0.08270.05910.0447
p-value(0.3178)(0.4755)(0.459)
E/Identified;PS0.23850.2980.2187
p-value(0.0035)(2e-04)(2e-04)
E/Introjected;E/Ext.Regulation0.1310.22410.1646
p-value(0.1125)(0.0062)(0.0057)
E/Introjected;Amotivation0.0184-0.0055-0.0042
p-value(0.8243)(0.9471)(0.9473)
E/Introjected;gender0.04860.0290.0245
p-value(0.5578)(0.7263)(0.7251)
E/Introjected;PE0.08570.0550.0389
p-value(0.3004)(0.5065)(0.5147)
E/Introjected;PS0.01290.09540.0736
p-value(0.8763)(0.2489)(0.2123)
E/Ext.Regulation;Amotivation-0.0469-0.0236-0.0181
p-value(0.5718)(0.7761)(0.7761)
E/Ext.Regulation;gender-0.0468-0.0652-0.0556
p-value(0.5718)(0.4308)(0.4289)
E/Ext.Regulation;PE0.09290.02950.0223
p-value(0.2617)(0.7215)(0.7108)
E/Ext.Regulation;PS0.1940.18110.1344
p-value(0.0182)(0.0276)(0.0238)
Amotivation;gender-0.1595-0.1377-0.1249
p-value(0.0529)(0.0952)(0.0951)
Amotivation;PE-0.01690.03460.0308
p-value(0.8382)(0.6766)(0.63)
Amotivation;PS-0.135-0.0671-0.0524
p-value(0.1019)(0.4174)(0.4075)
gender;PE-0.2342-0.2737-0.2338
p-value(0.0042)(8e-04)(9e-04)
gender;PS-0.0746-0.0912-0.0771
p-value(0.3676)(0.2703)(0.2688)
PE;PS0.28730.23830.1804
p-value(4e-04)(0.0035)(0.0025)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
I/ToKnow;I/Accomp. & 0.5586 & 0.5705 & 0.4267 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I/ToKnow;I/Exp.Stimulation & 0.5016 & 0.4957 & 0.3822 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I/ToKnow;E/Identified & 0.4609 & 0.5195 & 0.3874 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I/ToKnow;E/Introjected & 0.1937 & 0.2167 & 0.1652 \tabularnewline
p-value & (0.0183) & (0.0081) & (0.0053) \tabularnewline
I/ToKnow;E/Ext.Regulation & 0.1452 & 0.1518 & 0.1205 \tabularnewline
p-value & (0.0783) & (0.0654) & (0.0437) \tabularnewline
I/ToKnow;Amotivation & -0.3249 & -0.3603 & -0.2794 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
I/ToKnow;gender & 0.1209 & 0.1417 & 0.1203 \tabularnewline
p-value & (0.1432) & (0.0858) & (0.0858) \tabularnewline
I/ToKnow;PE & 0.0571 & 0.0287 & 0.0217 \tabularnewline
p-value & (0.4909) & (0.7289) & (0.7174) \tabularnewline
I/ToKnow;PS & 0.2547 & 0.2796 & 0.2063 \tabularnewline
p-value & (0.0018) & (6e-04) & (5e-04) \tabularnewline
I/Accomp.;I/Exp.Stimulation & 0.432 & 0.4389 & 0.3289 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I/Accomp.;E/Identified & 0.2947 & 0.3481 & 0.252 \tabularnewline
p-value & (3e-04) & (0) & (0) \tabularnewline
I/Accomp.;E/Introjected & 0.5454 & 0.4854 & 0.3684 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I/Accomp.;E/Ext.Regulation & 0.0088 & 0.0479 & 0.0377 \tabularnewline
p-value & (0.9151) & (0.5631) & (0.5253) \tabularnewline
I/Accomp.;Amotivation & -0.2758 & -0.2905 & -0.2257 \tabularnewline
p-value & (7e-04) & (3e-04) & (4e-04) \tabularnewline
I/Accomp.;gender & 0.2588 & 0.2466 & 0.208 \tabularnewline
p-value & (0.0015) & (0.0025) & (0.0028) \tabularnewline
I/Accomp.;PE & -0.0198 & -0.0605 & -0.0464 \tabularnewline
p-value & (0.8108) & (0.465) & (0.4354) \tabularnewline
I/Accomp.;PS & 0.1879 & 0.2096 & 0.158 \tabularnewline
p-value & (0.0222) & (0.0106) & (0.0073) \tabularnewline
I/Exp.Stimulation;E/Identified & 0.2683 & 0.2748 & 0.2069 \tabularnewline
p-value & (0.001) & (7e-04) & (5e-04) \tabularnewline
I/Exp.Stimulation;E/Introjected & 0.2191 & 0.1889 & 0.1423 \tabularnewline
p-value & (0.0075) & (0.0215) & (0.0155) \tabularnewline
I/Exp.Stimulation;E/Ext.Regulation & 0.0697 & 0.0079 & 0.0047 \tabularnewline
p-value & (0.4) & (0.9245) & (0.9361) \tabularnewline
I/Exp.Stimulation;Amotivation & 0.0035 & 0.0118 & 0.0078 \tabularnewline
p-value & (0.9668) & (0.8872) & (0.9021) \tabularnewline
I/Exp.Stimulation;gender & -0.0365 & -0.0385 & -0.0324 \tabularnewline
p-value & (0.6598) & (0.642) & (0.6404) \tabularnewline
I/Exp.Stimulation;PE & 0.0394 & 0.0784 & 0.0616 \tabularnewline
p-value & (0.6341) & (0.3438) & (0.2996) \tabularnewline
I/Exp.Stimulation;PS & 0.0573 & 0.0929 & 0.0691 \tabularnewline
p-value & (0.4894) & (0.2616) & (0.2391) \tabularnewline
E/Identified;E/Introjected & 0.166 & 0.2301 & 0.1707 \tabularnewline
p-value & (0.0438) & (0.0049) & (0.0043) \tabularnewline
E/Identified;E/Ext.Regulation & 0.3911 & 0.3934 & 0.3065 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
E/Identified;Amotivation & -0.2328 & -0.2406 & -0.1918 \tabularnewline
p-value & (0.0044) & (0.0032) & (0.0028) \tabularnewline
E/Identified;gender & -0.0086 & -0.007 & -0.006 \tabularnewline
p-value & (0.9171) & (0.9329) & (0.9325) \tabularnewline
E/Identified;PE & 0.0827 & 0.0591 & 0.0447 \tabularnewline
p-value & (0.3178) & (0.4755) & (0.459) \tabularnewline
E/Identified;PS & 0.2385 & 0.298 & 0.2187 \tabularnewline
p-value & (0.0035) & (2e-04) & (2e-04) \tabularnewline
E/Introjected;E/Ext.Regulation & 0.131 & 0.2241 & 0.1646 \tabularnewline
p-value & (0.1125) & (0.0062) & (0.0057) \tabularnewline
E/Introjected;Amotivation & 0.0184 & -0.0055 & -0.0042 \tabularnewline
p-value & (0.8243) & (0.9471) & (0.9473) \tabularnewline
E/Introjected;gender & 0.0486 & 0.029 & 0.0245 \tabularnewline
p-value & (0.5578) & (0.7263) & (0.7251) \tabularnewline
E/Introjected;PE & 0.0857 & 0.055 & 0.0389 \tabularnewline
p-value & (0.3004) & (0.5065) & (0.5147) \tabularnewline
E/Introjected;PS & 0.0129 & 0.0954 & 0.0736 \tabularnewline
p-value & (0.8763) & (0.2489) & (0.2123) \tabularnewline
E/Ext.Regulation;Amotivation & -0.0469 & -0.0236 & -0.0181 \tabularnewline
p-value & (0.5718) & (0.7761) & (0.7761) \tabularnewline
E/Ext.Regulation;gender & -0.0468 & -0.0652 & -0.0556 \tabularnewline
p-value & (0.5718) & (0.4308) & (0.4289) \tabularnewline
E/Ext.Regulation;PE & 0.0929 & 0.0295 & 0.0223 \tabularnewline
p-value & (0.2617) & (0.7215) & (0.7108) \tabularnewline
E/Ext.Regulation;PS & 0.194 & 0.1811 & 0.1344 \tabularnewline
p-value & (0.0182) & (0.0276) & (0.0238) \tabularnewline
Amotivation;gender & -0.1595 & -0.1377 & -0.1249 \tabularnewline
p-value & (0.0529) & (0.0952) & (0.0951) \tabularnewline
Amotivation;PE & -0.0169 & 0.0346 & 0.0308 \tabularnewline
p-value & (0.8382) & (0.6766) & (0.63) \tabularnewline
Amotivation;PS & -0.135 & -0.0671 & -0.0524 \tabularnewline
p-value & (0.1019) & (0.4174) & (0.4075) \tabularnewline
gender;PE & -0.2342 & -0.2737 & -0.2338 \tabularnewline
p-value & (0.0042) & (8e-04) & (9e-04) \tabularnewline
gender;PS & -0.0746 & -0.0912 & -0.0771 \tabularnewline
p-value & (0.3676) & (0.2703) & (0.2688) \tabularnewline
PE;PS & 0.2873 & 0.2383 & 0.1804 \tabularnewline
p-value & (4e-04) & (0.0035) & (0.0025) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=107729&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]I/ToKnow;I/Accomp.[/C][C]0.5586[/C][C]0.5705[/C][C]0.4267[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/ToKnow;I/Exp.Stimulation[/C][C]0.5016[/C][C]0.4957[/C][C]0.3822[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/ToKnow;E/Identified[/C][C]0.4609[/C][C]0.5195[/C][C]0.3874[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/ToKnow;E/Introjected[/C][C]0.1937[/C][C]0.2167[/C][C]0.1652[/C][/ROW]
[ROW][C]p-value[/C][C](0.0183)[/C][C](0.0081)[/C][C](0.0053)[/C][/ROW]
[ROW][C]I/ToKnow;E/Ext.Regulation[/C][C]0.1452[/C][C]0.1518[/C][C]0.1205[/C][/ROW]
[ROW][C]p-value[/C][C](0.0783)[/C][C](0.0654)[/C][C](0.0437)[/C][/ROW]
[ROW][C]I/ToKnow;Amotivation[/C][C]-0.3249[/C][C]-0.3603[/C][C]-0.2794[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/ToKnow;gender[/C][C]0.1209[/C][C]0.1417[/C][C]0.1203[/C][/ROW]
[ROW][C]p-value[/C][C](0.1432)[/C][C](0.0858)[/C][C](0.0858)[/C][/ROW]
[ROW][C]I/ToKnow;PE[/C][C]0.0571[/C][C]0.0287[/C][C]0.0217[/C][/ROW]
[ROW][C]p-value[/C][C](0.4909)[/C][C](0.7289)[/C][C](0.7174)[/C][/ROW]
[ROW][C]I/ToKnow;PS[/C][C]0.2547[/C][C]0.2796[/C][C]0.2063[/C][/ROW]
[ROW][C]p-value[/C][C](0.0018)[/C][C](6e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]I/Accomp.;I/Exp.Stimulation[/C][C]0.432[/C][C]0.4389[/C][C]0.3289[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/Accomp.;E/Identified[/C][C]0.2947[/C][C]0.3481[/C][C]0.252[/C][/ROW]
[ROW][C]p-value[/C][C](3e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/Accomp.;E/Introjected[/C][C]0.5454[/C][C]0.4854[/C][C]0.3684[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I/Accomp.;E/Ext.Regulation[/C][C]0.0088[/C][C]0.0479[/C][C]0.0377[/C][/ROW]
[ROW][C]p-value[/C][C](0.9151)[/C][C](0.5631)[/C][C](0.5253)[/C][/ROW]
[ROW][C]I/Accomp.;Amotivation[/C][C]-0.2758[/C][C]-0.2905[/C][C]-0.2257[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](3e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]I/Accomp.;gender[/C][C]0.2588[/C][C]0.2466[/C][C]0.208[/C][/ROW]
[ROW][C]p-value[/C][C](0.0015)[/C][C](0.0025)[/C][C](0.0028)[/C][/ROW]
[ROW][C]I/Accomp.;PE[/C][C]-0.0198[/C][C]-0.0605[/C][C]-0.0464[/C][/ROW]
[ROW][C]p-value[/C][C](0.8108)[/C][C](0.465)[/C][C](0.4354)[/C][/ROW]
[ROW][C]I/Accomp.;PS[/C][C]0.1879[/C][C]0.2096[/C][C]0.158[/C][/ROW]
[ROW][C]p-value[/C][C](0.0222)[/C][C](0.0106)[/C][C](0.0073)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;E/Identified[/C][C]0.2683[/C][C]0.2748[/C][C]0.2069[/C][/ROW]
[ROW][C]p-value[/C][C](0.001)[/C][C](7e-04)[/C][C](5e-04)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;E/Introjected[/C][C]0.2191[/C][C]0.1889[/C][C]0.1423[/C][/ROW]
[ROW][C]p-value[/C][C](0.0075)[/C][C](0.0215)[/C][C](0.0155)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;E/Ext.Regulation[/C][C]0.0697[/C][C]0.0079[/C][C]0.0047[/C][/ROW]
[ROW][C]p-value[/C][C](0.4)[/C][C](0.9245)[/C][C](0.9361)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;Amotivation[/C][C]0.0035[/C][C]0.0118[/C][C]0.0078[/C][/ROW]
[ROW][C]p-value[/C][C](0.9668)[/C][C](0.8872)[/C][C](0.9021)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;gender[/C][C]-0.0365[/C][C]-0.0385[/C][C]-0.0324[/C][/ROW]
[ROW][C]p-value[/C][C](0.6598)[/C][C](0.642)[/C][C](0.6404)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;PE[/C][C]0.0394[/C][C]0.0784[/C][C]0.0616[/C][/ROW]
[ROW][C]p-value[/C][C](0.6341)[/C][C](0.3438)[/C][C](0.2996)[/C][/ROW]
[ROW][C]I/Exp.Stimulation;PS[/C][C]0.0573[/C][C]0.0929[/C][C]0.0691[/C][/ROW]
[ROW][C]p-value[/C][C](0.4894)[/C][C](0.2616)[/C][C](0.2391)[/C][/ROW]
[ROW][C]E/Identified;E/Introjected[/C][C]0.166[/C][C]0.2301[/C][C]0.1707[/C][/ROW]
[ROW][C]p-value[/C][C](0.0438)[/C][C](0.0049)[/C][C](0.0043)[/C][/ROW]
[ROW][C]E/Identified;E/Ext.Regulation[/C][C]0.3911[/C][C]0.3934[/C][C]0.3065[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]E/Identified;Amotivation[/C][C]-0.2328[/C][C]-0.2406[/C][C]-0.1918[/C][/ROW]
[ROW][C]p-value[/C][C](0.0044)[/C][C](0.0032)[/C][C](0.0028)[/C][/ROW]
[ROW][C]E/Identified;gender[/C][C]-0.0086[/C][C]-0.007[/C][C]-0.006[/C][/ROW]
[ROW][C]p-value[/C][C](0.9171)[/C][C](0.9329)[/C][C](0.9325)[/C][/ROW]
[ROW][C]E/Identified;PE[/C][C]0.0827[/C][C]0.0591[/C][C]0.0447[/C][/ROW]
[ROW][C]p-value[/C][C](0.3178)[/C][C](0.4755)[/C][C](0.459)[/C][/ROW]
[ROW][C]E/Identified;PS[/C][C]0.2385[/C][C]0.298[/C][C]0.2187[/C][/ROW]
[ROW][C]p-value[/C][C](0.0035)[/C][C](2e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]E/Introjected;E/Ext.Regulation[/C][C]0.131[/C][C]0.2241[/C][C]0.1646[/C][/ROW]
[ROW][C]p-value[/C][C](0.1125)[/C][C](0.0062)[/C][C](0.0057)[/C][/ROW]
[ROW][C]E/Introjected;Amotivation[/C][C]0.0184[/C][C]-0.0055[/C][C]-0.0042[/C][/ROW]
[ROW][C]p-value[/C][C](0.8243)[/C][C](0.9471)[/C][C](0.9473)[/C][/ROW]
[ROW][C]E/Introjected;gender[/C][C]0.0486[/C][C]0.029[/C][C]0.0245[/C][/ROW]
[ROW][C]p-value[/C][C](0.5578)[/C][C](0.7263)[/C][C](0.7251)[/C][/ROW]
[ROW][C]E/Introjected;PE[/C][C]0.0857[/C][C]0.055[/C][C]0.0389[/C][/ROW]
[ROW][C]p-value[/C][C](0.3004)[/C][C](0.5065)[/C][C](0.5147)[/C][/ROW]
[ROW][C]E/Introjected;PS[/C][C]0.0129[/C][C]0.0954[/C][C]0.0736[/C][/ROW]
[ROW][C]p-value[/C][C](0.8763)[/C][C](0.2489)[/C][C](0.2123)[/C][/ROW]
[ROW][C]E/Ext.Regulation;Amotivation[/C][C]-0.0469[/C][C]-0.0236[/C][C]-0.0181[/C][/ROW]
[ROW][C]p-value[/C][C](0.5718)[/C][C](0.7761)[/C][C](0.7761)[/C][/ROW]
[ROW][C]E/Ext.Regulation;gender[/C][C]-0.0468[/C][C]-0.0652[/C][C]-0.0556[/C][/ROW]
[ROW][C]p-value[/C][C](0.5718)[/C][C](0.4308)[/C][C](0.4289)[/C][/ROW]
[ROW][C]E/Ext.Regulation;PE[/C][C]0.0929[/C][C]0.0295[/C][C]0.0223[/C][/ROW]
[ROW][C]p-value[/C][C](0.2617)[/C][C](0.7215)[/C][C](0.7108)[/C][/ROW]
[ROW][C]E/Ext.Regulation;PS[/C][C]0.194[/C][C]0.1811[/C][C]0.1344[/C][/ROW]
[ROW][C]p-value[/C][C](0.0182)[/C][C](0.0276)[/C][C](0.0238)[/C][/ROW]
[ROW][C]Amotivation;gender[/C][C]-0.1595[/C][C]-0.1377[/C][C]-0.1249[/C][/ROW]
[ROW][C]p-value[/C][C](0.0529)[/C][C](0.0952)[/C][C](0.0951)[/C][/ROW]
[ROW][C]Amotivation;PE[/C][C]-0.0169[/C][C]0.0346[/C][C]0.0308[/C][/ROW]
[ROW][C]p-value[/C][C](0.8382)[/C][C](0.6766)[/C][C](0.63)[/C][/ROW]
[ROW][C]Amotivation;PS[/C][C]-0.135[/C][C]-0.0671[/C][C]-0.0524[/C][/ROW]
[ROW][C]p-value[/C][C](0.1019)[/C][C](0.4174)[/C][C](0.4075)[/C][/ROW]
[ROW][C]gender;PE[/C][C]-0.2342[/C][C]-0.2737[/C][C]-0.2338[/C][/ROW]
[ROW][C]p-value[/C][C](0.0042)[/C][C](8e-04)[/C][C](9e-04)[/C][/ROW]
[ROW][C]gender;PS[/C][C]-0.0746[/C][C]-0.0912[/C][C]-0.0771[/C][/ROW]
[ROW][C]p-value[/C][C](0.3676)[/C][C](0.2703)[/C][C](0.2688)[/C][/ROW]
[ROW][C]PE;PS[/C][C]0.2873[/C][C]0.2383[/C][C]0.1804[/C][/ROW]
[ROW][C]p-value[/C][C](4e-04)[/C][C](0.0035)[/C][C](0.0025)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=107729&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=107729&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
I/ToKnow;I/Accomp.0.55860.57050.4267
p-value(0)(0)(0)
I/ToKnow;I/Exp.Stimulation0.50160.49570.3822
p-value(0)(0)(0)
I/ToKnow;E/Identified0.46090.51950.3874
p-value(0)(0)(0)
I/ToKnow;E/Introjected0.19370.21670.1652
p-value(0.0183)(0.0081)(0.0053)
I/ToKnow;E/Ext.Regulation0.14520.15180.1205
p-value(0.0783)(0.0654)(0.0437)
I/ToKnow;Amotivation-0.3249-0.3603-0.2794
p-value(1e-04)(0)(0)
I/ToKnow;gender0.12090.14170.1203
p-value(0.1432)(0.0858)(0.0858)
I/ToKnow;PE0.05710.02870.0217
p-value(0.4909)(0.7289)(0.7174)
I/ToKnow;PS0.25470.27960.2063
p-value(0.0018)(6e-04)(5e-04)
I/Accomp.;I/Exp.Stimulation0.4320.43890.3289
p-value(0)(0)(0)
I/Accomp.;E/Identified0.29470.34810.252
p-value(3e-04)(0)(0)
I/Accomp.;E/Introjected0.54540.48540.3684
p-value(0)(0)(0)
I/Accomp.;E/Ext.Regulation0.00880.04790.0377
p-value(0.9151)(0.5631)(0.5253)
I/Accomp.;Amotivation-0.2758-0.2905-0.2257
p-value(7e-04)(3e-04)(4e-04)
I/Accomp.;gender0.25880.24660.208
p-value(0.0015)(0.0025)(0.0028)
I/Accomp.;PE-0.0198-0.0605-0.0464
p-value(0.8108)(0.465)(0.4354)
I/Accomp.;PS0.18790.20960.158
p-value(0.0222)(0.0106)(0.0073)
I/Exp.Stimulation;E/Identified0.26830.27480.2069
p-value(0.001)(7e-04)(5e-04)
I/Exp.Stimulation;E/Introjected0.21910.18890.1423
p-value(0.0075)(0.0215)(0.0155)
I/Exp.Stimulation;E/Ext.Regulation0.06970.00790.0047
p-value(0.4)(0.9245)(0.9361)
I/Exp.Stimulation;Amotivation0.00350.01180.0078
p-value(0.9668)(0.8872)(0.9021)
I/Exp.Stimulation;gender-0.0365-0.0385-0.0324
p-value(0.6598)(0.642)(0.6404)
I/Exp.Stimulation;PE0.03940.07840.0616
p-value(0.6341)(0.3438)(0.2996)
I/Exp.Stimulation;PS0.05730.09290.0691
p-value(0.4894)(0.2616)(0.2391)
E/Identified;E/Introjected0.1660.23010.1707
p-value(0.0438)(0.0049)(0.0043)
E/Identified;E/Ext.Regulation0.39110.39340.3065
p-value(0)(0)(0)
E/Identified;Amotivation-0.2328-0.2406-0.1918
p-value(0.0044)(0.0032)(0.0028)
E/Identified;gender-0.0086-0.007-0.006
p-value(0.9171)(0.9329)(0.9325)
E/Identified;PE0.08270.05910.0447
p-value(0.3178)(0.4755)(0.459)
E/Identified;PS0.23850.2980.2187
p-value(0.0035)(2e-04)(2e-04)
E/Introjected;E/Ext.Regulation0.1310.22410.1646
p-value(0.1125)(0.0062)(0.0057)
E/Introjected;Amotivation0.0184-0.0055-0.0042
p-value(0.8243)(0.9471)(0.9473)
E/Introjected;gender0.04860.0290.0245
p-value(0.5578)(0.7263)(0.7251)
E/Introjected;PE0.08570.0550.0389
p-value(0.3004)(0.5065)(0.5147)
E/Introjected;PS0.01290.09540.0736
p-value(0.8763)(0.2489)(0.2123)
E/Ext.Regulation;Amotivation-0.0469-0.0236-0.0181
p-value(0.5718)(0.7761)(0.7761)
E/Ext.Regulation;gender-0.0468-0.0652-0.0556
p-value(0.5718)(0.4308)(0.4289)
E/Ext.Regulation;PE0.09290.02950.0223
p-value(0.2617)(0.7215)(0.7108)
E/Ext.Regulation;PS0.1940.18110.1344
p-value(0.0182)(0.0276)(0.0238)
Amotivation;gender-0.1595-0.1377-0.1249
p-value(0.0529)(0.0952)(0.0951)
Amotivation;PE-0.01690.03460.0308
p-value(0.8382)(0.6766)(0.63)
Amotivation;PS-0.135-0.0671-0.0524
p-value(0.1019)(0.4174)(0.4075)
gender;PE-0.2342-0.2737-0.2338
p-value(0.0042)(8e-04)(9e-04)
gender;PS-0.0746-0.0912-0.0771
p-value(0.3676)(0.2703)(0.2688)
PE;PS0.28730.23830.1804
p-value(4e-04)(0.0035)(0.0025)



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')