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Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationSun, 09 Dec 2012 09:09:09 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/09/t1355062197hep8hjno8w96gv9.htm/, Retrieved Thu, 31 Oct 2024 23:49:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=197879, Retrieved Thu, 31 Oct 2024 23:49:55 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact103
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] [WS10 Kendal tau r...] [2012-12-09 14:09:09] [4c93b3a0c48c946a3a36627369b78a37] [Current]
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Dataseries X:
1	1	14	12	26	21	21	23	17	23
1	1	18	11	20	16	15	24	17	20
1	1	11	14	19	19	18	22	18	20
1	0	12	12	19	18	11	20	21	21
1	1	16	21	20	16	8	24	20	24
1	1	18	12	25	23	19	27	28	22
1	0	14	22	25	17	4	28	19	23
1	1	14	11	22	12	20	27	22	20
1	1	15	10	26	19	16	24	16	25
1	1	15	13	22	16	14	23	18	23
1	0	17	10	17	19	10	24	25	27
1	0	19	8	22	20	13	27	17	27
1	1	10	15	19	13	14	27	14	22
1	1	16	14	24	20	8	28	11	24
1	1	18	10	26	27	23	27	27	25
1	0	14	14	21	17	11	23	20	22
1	1	14	14	13	8	9	24	22	28
1	0	17	11	26	25	24	28	22	28
1	0	14	10	20	26	5	27	21	27
1	1	16	13	22	13	15	25	23	25
1	0	18	7	14	19	5	19	17	16
1	1	11	14	21	15	19	24	24	28
1	1	14	12	7	5	6	20	14	21
1	0	12	14	23	16	13	28	17	24
1	1	17	11	17	14	11	26	23	27
1	1	9	9	25	24	17	23	24	14
1	1	16	11	25	24	17	23	24	14
1	1	14	15	19	9	5	20	8	27
1	0	15	14	20	19	9	11	22	20
1	1	11	13	23	19	15	24	23	21
1	0	16	9	22	25	17	25	25	22
1	1	13	15	22	19	17	23	21	21
1	1	17	10	21	18	20	18	24	12
1	0	15	11	15	15	12	20	15	20
1	0	14	13	20	12	7	20	22	24
1	0	16	8	22	21	16	24	21	19
1	1	9	20	18	12	7	23	25	28
1	0	15	12	20	15	14	25	16	23
1	0	17	10	28	28	24	28	28	27
1	1	13	10	22	25	15	26	23	22
1	1	15	9	18	19	15	26	21	27
1	1	16	14	23	20	10	23	21	26
1	1	16	8	20	24	14	22	26	22
1	0	12	14	25	26	18	24	22	21
1	0	12	11	26	25	12	21	21	19
1	1	11	13	15	12	9	20	18	24
1	0	15	9	17	12	9	22	12	19
1	0	15	11	23	15	8	20	25	26
1	1	17	15	21	17	18	25	17	22
1	0	13	11	13	14	10	20	24	28
1	1	16	10	18	16	17	22	15	21
1	1	14	14	19	11	14	23	13	23
1	1	11	18	22	20	16	25	26	28
1	1	12	14	16	11	10	23	16	10
1	0	12	11	24	22	19	23	24	24
1	1	15	12	18	20	10	22	21	21
1	1	16	13	20	19	14	24	20	21
1	1	15	9	24	17	10	25	14	24
1	0	12	10	14	21	4	21	25	24
1	0	12	15	22	23	19	12	25	25
1	1	8	20	24	18	9	17	20	25
1	1	13	12	18	17	12	20	22	23
1	1	11	12	21	27	16	23	20	21
1	0	14	14	23	25	11	23	26	16
1	1	15	13	17	19	18	20	18	17
1	0	10	11	22	22	11	28	22	25
1	0	11	17	24	24	24	24	24	24
1	0	12	12	21	20	17	24	17	23
1	1	15	13	22	19	18	24	24	25
1	1	15	14	16	11	9	24	20	23
1	1	14	13	21	22	19	28	19	28
1	0	16	15	23	22	18	25	20	26
1	0	15	13	22	16	12	21	15	22
1	1	15	10	24	20	23	25	23	19
1	1	13	11	24	24	22	25	26	26
1	1	12	19	16	16	14	18	22	18
1	1	17	13	16	16	14	17	20	18
1	0	13	17	21	22	16	26	24	25
1	0	15	13	26	24	23	28	26	27
1	0	13	9	15	16	7	21	21	12
1	0	15	11	25	27	10	27	25	15
1	1	16	10	18	11	12	22	13	21
1	0	15	9	23	21	12	21	20	23
1	1	16	12	20	20	12	25	22	22
1	0	15	12	17	20	17	22	23	21
1	0	14	13	25	27	21	23	28	24
1	1	15	13	24	20	16	26	22	27
1	1	14	12	17	12	11	19	20	22
1	1	13	15	19	8	14	25	6	28
1	1	7	22	20	21	13	21	21	26
1	1	17	13	15	18	9	13	20	10
1	0	13	15	27	24	19	24	18	19
1	1	15	13	22	16	13	25	23	22
1	1	14	15	23	18	19	26	20	21
1	1	13	10	16	20	13	25	24	24
1	1	16	11	19	20	13	25	22	25
1	0	12	16	25	19	13	22	21	21
1	1	14	11	19	17	14	21	18	20
1	0	17	11	19	16	12	23	21	21
1	0	15	10	26	26	22	25	23	24
1	1	17	10	21	15	11	24	23	23
1	0	12	16	20	22	5	21	15	18
1	1	16	12	24	17	18	21	21	24
1	1	11	11	22	23	19	25	24	24
1	0	15	16	20	21	14	22	23	19
1	1	9	19	18	19	15	20	21	20
1	0	16	11	18	14	12	20	21	18
1	1	15	16	24	17	19	23	20	20
1	1	10	15	24	12	15	28	11	27
1	1	10	24	22	24	17	23	22	23
1	1	15	14	23	18	8	28	27	26
1	1	11	15	22	20	10	24	25	23
1	1	13	11	20	16	12	18	18	17
1	1	14	15	18	20	12	20	20	21
1	1	18	12	25	22	20	28	24	25
1	0	16	10	18	12	12	21	10	23
1	1	14	14	16	16	12	21	27	27
1	1	14	13	20	17	14	25	21	24
1	0	14	9	19	22	6	19	21	20
1	1	14	15	15	12	10	18	18	27
1	1	12	15	19	14	18	21	15	21
1	1	14	14	19	23	18	22	24	24
1	1	15	11	16	15	7	24	22	21
1	1	15	8	17	17	18	15	14	15
1	1	15	11	28	28	9	28	28	25
1	0	13	11	23	20	17	26	18	25
1	1	17	8	25	23	22	23	26	22
1	1	17	10	20	13	11	26	17	24
1	0	19	11	17	18	15	20	19	21
1	0	15	13	23	23	17	22	22	22
1	1	13	11	16	19	15	20	18	23
1	0	9	20	23	23	22	23	24	22
1	0	15	10	11	12	9	22	15	20
1	0	15	15	18	16	13	24	18	23
1	0	15	12	24	23	20	23	26	25
1	1	16	14	23	13	14	22	11	23
1	1	11	23	21	22	14	26	26	22
1	0	14	14	16	18	12	23	21	25
1	0	11	16	24	23	20	27	23	26
1	1	15	11	23	20	20	23	23	22
1	1	13	12	18	10	8	21	15	24
1	1	15	10	20	17	17	26	22	24
1	1	16	14	9	18	9	23	26	25
1	0	14	12	24	15	18	21	16	20
1	1	15	12	25	23	22	27	20	26
1	1	16	11	20	17	10	19	18	21
1	0	16	12	21	17	13	23	22	26
1	0	11	13	25	22	15	25	16	21
1	0	12	11	22	20	18	23	19	22
1	0	9	19	21	20	18	22	20	16
1	1	16	12	21	19	12	22	19	26
1	1	13	17	22	18	12	25	23	28
1	1	16	9	27	22	20	25	24	18
1	0	12	12	24	20	12	28	25	25
1	0	9	19	24	22	16	28	21	23
1	0	13	18	21	18	16	20	21	21
1	1	13	15	18	16	18	25	23	20
1	1	14	14	16	16	16	19	27	25
0	1	19	11	22	16	13	25	23	22
0	1	13	9	20	16	17	22	18	21
0	0	12	18	18	17	13	18	16	16
0	1	13	16	20	18	17	20	16	18




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' @ fisher.wessa.net
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' @ fisher.wessa.net \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=197879&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' @ fisher.wessa.net[/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=197879&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197879&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 time4 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
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)
PopGenderHappinessDepressionI1I2I3E1E2E3
Pop1-0.0470.024-0.0180.0410.077-0.0260.0860.0880.13
Gender-0.04710.0640.052-0.116-0.2160.040.032-0.0250.053
Happiness0.0240.0641-0.372-0.007-0.052-0.0180.0640.011-0.006
Depression-0.0180.052-0.37210.008-0.0630.003-0.024-0.030.081
I10.041-0.116-0.0070.00810.4420.3850.3780.2050.116
I20.077-0.216-0.052-0.0630.44210.3330.220.3810.022
I3-0.0260.04-0.0180.0030.3850.33310.1920.165-0.009
E10.0860.0320.064-0.0240.3780.220.19210.1750.324
E20.088-0.0250.011-0.030.2050.3810.1650.17510.182
E3 0.130.053-0.0060.0810.1160.022-0.0090.3240.1821

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & Pop & Gender & Happiness & Depression & I1 & I2 & I3 & E1 & E2 & E3
 \tabularnewline
Pop & 1 & -0.047 & 0.024 & -0.018 & 0.041 & 0.077 & -0.026 & 0.086 & 0.088 & 0.13 \tabularnewline
Gender & -0.047 & 1 & 0.064 & 0.052 & -0.116 & -0.216 & 0.04 & 0.032 & -0.025 & 0.053 \tabularnewline
Happiness & 0.024 & 0.064 & 1 & -0.372 & -0.007 & -0.052 & -0.018 & 0.064 & 0.011 & -0.006 \tabularnewline
Depression & -0.018 & 0.052 & -0.372 & 1 & 0.008 & -0.063 & 0.003 & -0.024 & -0.03 & 0.081 \tabularnewline
I1 & 0.041 & -0.116 & -0.007 & 0.008 & 1 & 0.442 & 0.385 & 0.378 & 0.205 & 0.116 \tabularnewline
I2 & 0.077 & -0.216 & -0.052 & -0.063 & 0.442 & 1 & 0.333 & 0.22 & 0.381 & 0.022 \tabularnewline
I3 & -0.026 & 0.04 & -0.018 & 0.003 & 0.385 & 0.333 & 1 & 0.192 & 0.165 & -0.009 \tabularnewline
E1 & 0.086 & 0.032 & 0.064 & -0.024 & 0.378 & 0.22 & 0.192 & 1 & 0.175 & 0.324 \tabularnewline
E2 & 0.088 & -0.025 & 0.011 & -0.03 & 0.205 & 0.381 & 0.165 & 0.175 & 1 & 0.182 \tabularnewline
E3
 & 0.13 & 0.053 & -0.006 & 0.081 & 0.116 & 0.022 & -0.009 & 0.324 & 0.182 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197879&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]Pop[/C][C]Gender[/C][C]Happiness[/C][C]Depression[/C][C]I1[/C][C]I2[/C][C]I3[/C][C]E1[/C][C]E2[/C][C]E3
[/C][/ROW]
[ROW][C]Pop[/C][C]1[/C][C]-0.047[/C][C]0.024[/C][C]-0.018[/C][C]0.041[/C][C]0.077[/C][C]-0.026[/C][C]0.086[/C][C]0.088[/C][C]0.13[/C][/ROW]
[ROW][C]Gender[/C][C]-0.047[/C][C]1[/C][C]0.064[/C][C]0.052[/C][C]-0.116[/C][C]-0.216[/C][C]0.04[/C][C]0.032[/C][C]-0.025[/C][C]0.053[/C][/ROW]
[ROW][C]Happiness[/C][C]0.024[/C][C]0.064[/C][C]1[/C][C]-0.372[/C][C]-0.007[/C][C]-0.052[/C][C]-0.018[/C][C]0.064[/C][C]0.011[/C][C]-0.006[/C][/ROW]
[ROW][C]Depression[/C][C]-0.018[/C][C]0.052[/C][C]-0.372[/C][C]1[/C][C]0.008[/C][C]-0.063[/C][C]0.003[/C][C]-0.024[/C][C]-0.03[/C][C]0.081[/C][/ROW]
[ROW][C]I1[/C][C]0.041[/C][C]-0.116[/C][C]-0.007[/C][C]0.008[/C][C]1[/C][C]0.442[/C][C]0.385[/C][C]0.378[/C][C]0.205[/C][C]0.116[/C][/ROW]
[ROW][C]I2[/C][C]0.077[/C][C]-0.216[/C][C]-0.052[/C][C]-0.063[/C][C]0.442[/C][C]1[/C][C]0.333[/C][C]0.22[/C][C]0.381[/C][C]0.022[/C][/ROW]
[ROW][C]I3[/C][C]-0.026[/C][C]0.04[/C][C]-0.018[/C][C]0.003[/C][C]0.385[/C][C]0.333[/C][C]1[/C][C]0.192[/C][C]0.165[/C][C]-0.009[/C][/ROW]
[ROW][C]E1[/C][C]0.086[/C][C]0.032[/C][C]0.064[/C][C]-0.024[/C][C]0.378[/C][C]0.22[/C][C]0.192[/C][C]1[/C][C]0.175[/C][C]0.324[/C][/ROW]
[ROW][C]E2[/C][C]0.088[/C][C]-0.025[/C][C]0.011[/C][C]-0.03[/C][C]0.205[/C][C]0.381[/C][C]0.165[/C][C]0.175[/C][C]1[/C][C]0.182[/C][/ROW]
[ROW][C]E3
[/C][C]0.13[/C][C]0.053[/C][C]-0.006[/C][C]0.081[/C][C]0.116[/C][C]0.022[/C][C]-0.009[/C][C]0.324[/C][C]0.182[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197879&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197879&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)
PopGenderHappinessDepressionI1I2I3E1E2E3
Pop1-0.0470.024-0.0180.0410.077-0.0260.0860.0880.13
Gender-0.04710.0640.052-0.116-0.2160.040.032-0.0250.053
Happiness0.0240.0641-0.372-0.007-0.052-0.0180.0640.011-0.006
Depression-0.0180.052-0.37210.008-0.0630.003-0.024-0.030.081
I10.041-0.116-0.0070.00810.4420.3850.3780.2050.116
I20.077-0.216-0.052-0.0630.44210.3330.220.3810.022
I3-0.0260.04-0.0180.0030.3850.33310.1920.165-0.009
E10.0860.0320.064-0.0240.3780.220.19210.1750.324
E20.088-0.0250.011-0.030.2050.3810.1650.17510.182
E3 0.130.053-0.0060.0810.1160.022-0.0090.3240.1821







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Pop;Gender-0.0472-0.0472-0.0472
p-value(0.5508)(0.5508)(0.5491)
Pop;Happiness-0.01450.02790.0242
p-value(0.8543)(0.7243)(0.7231)
Pop;Depression-0.0292-0.021-0.018
p-value(0.7118)(0.791)(0.7901)
Pop;I10.0280.04870.0413
p-value(0.7234)(0.5385)(0.5369)
Pop;I20.06430.09130.0771
p-value(0.4166)(0.248)(0.2467)
Pop;I3-0.0278-0.0307-0.0258
p-value(0.7251)(0.6982)(0.697)
Pop;E10.08990.1010.0864
p-value(0.2554)(0.2011)(0.2002)
Pop;E20.08820.10410.0881
p-value(0.2644)(0.1873)(0.1864)
Pop;E3 0.13790.1530.1302
p-value(0.0801)(0.052)(0.0523)
Gender;Happiness0.04540.07420.0642
p-value(0.5666)(0.3481)(0.3465)
Gender;Depression0.05550.06120.0525
p-value(0.4833)(0.4394)(0.4377)
Gender;I1-0.1209-0.1365-0.1158
p-value(0.1253)(0.0833)(0.0833)
Gender;I2-0.2643-0.2557-0.2159
p-value(7e-04)(0.001)(0.0012)
Gender;I30.04580.04710.0396
p-value(0.5626)(0.5518)(0.5502)
Gender;E10.02540.03690.0316
p-value(0.7481)(0.6408)(0.6393)
Gender;E2-0.0486-0.0293-0.0248
p-value(0.5392)(0.7117)(0.7104)
Gender;E3 0.04270.06250.0532
p-value(0.5891)(0.4293)(0.4276)
Happiness;Depression-0.5442-0.4738-0.3724
p-value(0)(0)(0)
Happiness;I1-0.0326-0.0074-0.0075
p-value(0.6806)(0.9252)(0.8971)
Happiness;I2-0.0528-0.0731-0.0525
p-value(0.5045)(0.3553)(0.3626)
Happiness;I3-0.0065-0.0265-0.018
p-value(0.935)(0.7378)(0.7535)
Happiness;E10.05420.08220.0635
p-value(0.4931)(0.2984)(0.2771)
Happiness;E20.00870.01370.0106
p-value(0.9129)(0.8626)(0.8543)
Happiness;E3 -0.0193-0.0064-0.0062
p-value(0.8079)(0.9356)(0.9145)
Depression;I10.03770.01230.0085
p-value(0.6335)(0.8765)(0.8824)
Depression;I2-0.0517-0.0899-0.0633
p-value(0.5134)(0.2554)(0.2679)
Depression;I3-0.02750.00390.003
p-value(0.7286)(0.9611)(0.958)
Depression;E1-0.0281-0.0352-0.0239
p-value(0.7223)(0.6562)(0.68)
Depression;E20.0119-0.0405-0.0304
p-value(0.8809)(0.6086)(0.5951)
Depression;E3 0.11330.10770.0806
p-value(0.1513)(0.1727)(0.1616)
I1;I20.59920.58520.4418
p-value(0)(0)(0)
I1;I30.52070.50180.3854
p-value(0)(0)(0)
I1;E10.45710.50760.3779
p-value(0)(0)(0)
I1;E20.23850.26880.2047
p-value(0.0022)(5e-04)(3e-04)
I1;E3 0.13620.14780.1162
p-value(0.0839)(0.0606)(0.0415)
I2;I30.44520.440.3331
p-value(0)(0)(0)
I2;E10.26050.30570.2201
p-value(8e-04)(1e-04)(1e-04)
I2;E20.56160.50050.3812
p-value(0)(0)(0)
I2;E3 -0.00940.02910.0222
p-value(0.9058)(0.7132)(0.6956)
I3;E10.24110.25780.1921
p-value(0.002)(9e-04)(7e-04)
I3;E20.25040.22410.1653
p-value(0.0013)(0.0041)(0.0033)
I3;E3 0.0402-0.0096-0.0092
p-value(0.6116)(0.9035)(0.8702)
E1;E20.16780.24230.1748
p-value(0.0329)(0.0019)(0.0022)
E1;E3 0.4160.42240.3239
p-value(0)(0)(0)
E2;E3 0.14440.2540.1824
p-value(0.0667)(0.0011)(0.0013)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Pop;Gender & -0.0472 & -0.0472 & -0.0472 \tabularnewline
p-value & (0.5508) & (0.5508) & (0.5491) \tabularnewline
Pop;Happiness & -0.0145 & 0.0279 & 0.0242 \tabularnewline
p-value & (0.8543) & (0.7243) & (0.7231) \tabularnewline
Pop;Depression & -0.0292 & -0.021 & -0.018 \tabularnewline
p-value & (0.7118) & (0.791) & (0.7901) \tabularnewline
Pop;I1 & 0.028 & 0.0487 & 0.0413 \tabularnewline
p-value & (0.7234) & (0.5385) & (0.5369) \tabularnewline
Pop;I2 & 0.0643 & 0.0913 & 0.0771 \tabularnewline
p-value & (0.4166) & (0.248) & (0.2467) \tabularnewline
Pop;I3 & -0.0278 & -0.0307 & -0.0258 \tabularnewline
p-value & (0.7251) & (0.6982) & (0.697) \tabularnewline
Pop;E1 & 0.0899 & 0.101 & 0.0864 \tabularnewline
p-value & (0.2554) & (0.2011) & (0.2002) \tabularnewline
Pop;E2 & 0.0882 & 0.1041 & 0.0881 \tabularnewline
p-value & (0.2644) & (0.1873) & (0.1864) \tabularnewline
Pop;E3
 & 0.1379 & 0.153 & 0.1302 \tabularnewline
p-value & (0.0801) & (0.052) & (0.0523) \tabularnewline
Gender;Happiness & 0.0454 & 0.0742 & 0.0642 \tabularnewline
p-value & (0.5666) & (0.3481) & (0.3465) \tabularnewline
Gender;Depression & 0.0555 & 0.0612 & 0.0525 \tabularnewline
p-value & (0.4833) & (0.4394) & (0.4377) \tabularnewline
Gender;I1 & -0.1209 & -0.1365 & -0.1158 \tabularnewline
p-value & (0.1253) & (0.0833) & (0.0833) \tabularnewline
Gender;I2 & -0.2643 & -0.2557 & -0.2159 \tabularnewline
p-value & (7e-04) & (0.001) & (0.0012) \tabularnewline
Gender;I3 & 0.0458 & 0.0471 & 0.0396 \tabularnewline
p-value & (0.5626) & (0.5518) & (0.5502) \tabularnewline
Gender;E1 & 0.0254 & 0.0369 & 0.0316 \tabularnewline
p-value & (0.7481) & (0.6408) & (0.6393) \tabularnewline
Gender;E2 & -0.0486 & -0.0293 & -0.0248 \tabularnewline
p-value & (0.5392) & (0.7117) & (0.7104) \tabularnewline
Gender;E3
 & 0.0427 & 0.0625 & 0.0532 \tabularnewline
p-value & (0.5891) & (0.4293) & (0.4276) \tabularnewline
Happiness;Depression & -0.5442 & -0.4738 & -0.3724 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Happiness;I1 & -0.0326 & -0.0074 & -0.0075 \tabularnewline
p-value & (0.6806) & (0.9252) & (0.8971) \tabularnewline
Happiness;I2 & -0.0528 & -0.0731 & -0.0525 \tabularnewline
p-value & (0.5045) & (0.3553) & (0.3626) \tabularnewline
Happiness;I3 & -0.0065 & -0.0265 & -0.018 \tabularnewline
p-value & (0.935) & (0.7378) & (0.7535) \tabularnewline
Happiness;E1 & 0.0542 & 0.0822 & 0.0635 \tabularnewline
p-value & (0.4931) & (0.2984) & (0.2771) \tabularnewline
Happiness;E2 & 0.0087 & 0.0137 & 0.0106 \tabularnewline
p-value & (0.9129) & (0.8626) & (0.8543) \tabularnewline
Happiness;E3
 & -0.0193 & -0.0064 & -0.0062 \tabularnewline
p-value & (0.8079) & (0.9356) & (0.9145) \tabularnewline
Depression;I1 & 0.0377 & 0.0123 & 0.0085 \tabularnewline
p-value & (0.6335) & (0.8765) & (0.8824) \tabularnewline
Depression;I2 & -0.0517 & -0.0899 & -0.0633 \tabularnewline
p-value & (0.5134) & (0.2554) & (0.2679) \tabularnewline
Depression;I3 & -0.0275 & 0.0039 & 0.003 \tabularnewline
p-value & (0.7286) & (0.9611) & (0.958) \tabularnewline
Depression;E1 & -0.0281 & -0.0352 & -0.0239 \tabularnewline
p-value & (0.7223) & (0.6562) & (0.68) \tabularnewline
Depression;E2 & 0.0119 & -0.0405 & -0.0304 \tabularnewline
p-value & (0.8809) & (0.6086) & (0.5951) \tabularnewline
Depression;E3
 & 0.1133 & 0.1077 & 0.0806 \tabularnewline
p-value & (0.1513) & (0.1727) & (0.1616) \tabularnewline
I1;I2 & 0.5992 & 0.5852 & 0.4418 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I1;I3 & 0.5207 & 0.5018 & 0.3854 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I1;E1 & 0.4571 & 0.5076 & 0.3779 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I1;E2 & 0.2385 & 0.2688 & 0.2047 \tabularnewline
p-value & (0.0022) & (5e-04) & (3e-04) \tabularnewline
I1;E3
 & 0.1362 & 0.1478 & 0.1162 \tabularnewline
p-value & (0.0839) & (0.0606) & (0.0415) \tabularnewline
I2;I3 & 0.4452 & 0.44 & 0.3331 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I2;E1 & 0.2605 & 0.3057 & 0.2201 \tabularnewline
p-value & (8e-04) & (1e-04) & (1e-04) \tabularnewline
I2;E2 & 0.5616 & 0.5005 & 0.3812 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
I2;E3
 & -0.0094 & 0.0291 & 0.0222 \tabularnewline
p-value & (0.9058) & (0.7132) & (0.6956) \tabularnewline
I3;E1 & 0.2411 & 0.2578 & 0.1921 \tabularnewline
p-value & (0.002) & (9e-04) & (7e-04) \tabularnewline
I3;E2 & 0.2504 & 0.2241 & 0.1653 \tabularnewline
p-value & (0.0013) & (0.0041) & (0.0033) \tabularnewline
I3;E3
 & 0.0402 & -0.0096 & -0.0092 \tabularnewline
p-value & (0.6116) & (0.9035) & (0.8702) \tabularnewline
E1;E2 & 0.1678 & 0.2423 & 0.1748 \tabularnewline
p-value & (0.0329) & (0.0019) & (0.0022) \tabularnewline
E1;E3
 & 0.416 & 0.4224 & 0.3239 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
E2;E3
 & 0.1444 & 0.254 & 0.1824 \tabularnewline
p-value & (0.0667) & (0.0011) & (0.0013) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=197879&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]Pop;Gender[/C][C]-0.0472[/C][C]-0.0472[/C][C]-0.0472[/C][/ROW]
[ROW][C]p-value[/C][C](0.5508)[/C][C](0.5508)[/C][C](0.5491)[/C][/ROW]
[ROW][C]Pop;Happiness[/C][C]-0.0145[/C][C]0.0279[/C][C]0.0242[/C][/ROW]
[ROW][C]p-value[/C][C](0.8543)[/C][C](0.7243)[/C][C](0.7231)[/C][/ROW]
[ROW][C]Pop;Depression[/C][C]-0.0292[/C][C]-0.021[/C][C]-0.018[/C][/ROW]
[ROW][C]p-value[/C][C](0.7118)[/C][C](0.791)[/C][C](0.7901)[/C][/ROW]
[ROW][C]Pop;I1[/C][C]0.028[/C][C]0.0487[/C][C]0.0413[/C][/ROW]
[ROW][C]p-value[/C][C](0.7234)[/C][C](0.5385)[/C][C](0.5369)[/C][/ROW]
[ROW][C]Pop;I2[/C][C]0.0643[/C][C]0.0913[/C][C]0.0771[/C][/ROW]
[ROW][C]p-value[/C][C](0.4166)[/C][C](0.248)[/C][C](0.2467)[/C][/ROW]
[ROW][C]Pop;I3[/C][C]-0.0278[/C][C]-0.0307[/C][C]-0.0258[/C][/ROW]
[ROW][C]p-value[/C][C](0.7251)[/C][C](0.6982)[/C][C](0.697)[/C][/ROW]
[ROW][C]Pop;E1[/C][C]0.0899[/C][C]0.101[/C][C]0.0864[/C][/ROW]
[ROW][C]p-value[/C][C](0.2554)[/C][C](0.2011)[/C][C](0.2002)[/C][/ROW]
[ROW][C]Pop;E2[/C][C]0.0882[/C][C]0.1041[/C][C]0.0881[/C][/ROW]
[ROW][C]p-value[/C][C](0.2644)[/C][C](0.1873)[/C][C](0.1864)[/C][/ROW]
[ROW][C]Pop;E3
[/C][C]0.1379[/C][C]0.153[/C][C]0.1302[/C][/ROW]
[ROW][C]p-value[/C][C](0.0801)[/C][C](0.052)[/C][C](0.0523)[/C][/ROW]
[ROW][C]Gender;Happiness[/C][C]0.0454[/C][C]0.0742[/C][C]0.0642[/C][/ROW]
[ROW][C]p-value[/C][C](0.5666)[/C][C](0.3481)[/C][C](0.3465)[/C][/ROW]
[ROW][C]Gender;Depression[/C][C]0.0555[/C][C]0.0612[/C][C]0.0525[/C][/ROW]
[ROW][C]p-value[/C][C](0.4833)[/C][C](0.4394)[/C][C](0.4377)[/C][/ROW]
[ROW][C]Gender;I1[/C][C]-0.1209[/C][C]-0.1365[/C][C]-0.1158[/C][/ROW]
[ROW][C]p-value[/C][C](0.1253)[/C][C](0.0833)[/C][C](0.0833)[/C][/ROW]
[ROW][C]Gender;I2[/C][C]-0.2643[/C][C]-0.2557[/C][C]-0.2159[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0.001)[/C][C](0.0012)[/C][/ROW]
[ROW][C]Gender;I3[/C][C]0.0458[/C][C]0.0471[/C][C]0.0396[/C][/ROW]
[ROW][C]p-value[/C][C](0.5626)[/C][C](0.5518)[/C][C](0.5502)[/C][/ROW]
[ROW][C]Gender;E1[/C][C]0.0254[/C][C]0.0369[/C][C]0.0316[/C][/ROW]
[ROW][C]p-value[/C][C](0.7481)[/C][C](0.6408)[/C][C](0.6393)[/C][/ROW]
[ROW][C]Gender;E2[/C][C]-0.0486[/C][C]-0.0293[/C][C]-0.0248[/C][/ROW]
[ROW][C]p-value[/C][C](0.5392)[/C][C](0.7117)[/C][C](0.7104)[/C][/ROW]
[ROW][C]Gender;E3
[/C][C]0.0427[/C][C]0.0625[/C][C]0.0532[/C][/ROW]
[ROW][C]p-value[/C][C](0.5891)[/C][C](0.4293)[/C][C](0.4276)[/C][/ROW]
[ROW][C]Happiness;Depression[/C][C]-0.5442[/C][C]-0.4738[/C][C]-0.3724[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Happiness;I1[/C][C]-0.0326[/C][C]-0.0074[/C][C]-0.0075[/C][/ROW]
[ROW][C]p-value[/C][C](0.6806)[/C][C](0.9252)[/C][C](0.8971)[/C][/ROW]
[ROW][C]Happiness;I2[/C][C]-0.0528[/C][C]-0.0731[/C][C]-0.0525[/C][/ROW]
[ROW][C]p-value[/C][C](0.5045)[/C][C](0.3553)[/C][C](0.3626)[/C][/ROW]
[ROW][C]Happiness;I3[/C][C]-0.0065[/C][C]-0.0265[/C][C]-0.018[/C][/ROW]
[ROW][C]p-value[/C][C](0.935)[/C][C](0.7378)[/C][C](0.7535)[/C][/ROW]
[ROW][C]Happiness;E1[/C][C]0.0542[/C][C]0.0822[/C][C]0.0635[/C][/ROW]
[ROW][C]p-value[/C][C](0.4931)[/C][C](0.2984)[/C][C](0.2771)[/C][/ROW]
[ROW][C]Happiness;E2[/C][C]0.0087[/C][C]0.0137[/C][C]0.0106[/C][/ROW]
[ROW][C]p-value[/C][C](0.9129)[/C][C](0.8626)[/C][C](0.8543)[/C][/ROW]
[ROW][C]Happiness;E3
[/C][C]-0.0193[/C][C]-0.0064[/C][C]-0.0062[/C][/ROW]
[ROW][C]p-value[/C][C](0.8079)[/C][C](0.9356)[/C][C](0.9145)[/C][/ROW]
[ROW][C]Depression;I1[/C][C]0.0377[/C][C]0.0123[/C][C]0.0085[/C][/ROW]
[ROW][C]p-value[/C][C](0.6335)[/C][C](0.8765)[/C][C](0.8824)[/C][/ROW]
[ROW][C]Depression;I2[/C][C]-0.0517[/C][C]-0.0899[/C][C]-0.0633[/C][/ROW]
[ROW][C]p-value[/C][C](0.5134)[/C][C](0.2554)[/C][C](0.2679)[/C][/ROW]
[ROW][C]Depression;I3[/C][C]-0.0275[/C][C]0.0039[/C][C]0.003[/C][/ROW]
[ROW][C]p-value[/C][C](0.7286)[/C][C](0.9611)[/C][C](0.958)[/C][/ROW]
[ROW][C]Depression;E1[/C][C]-0.0281[/C][C]-0.0352[/C][C]-0.0239[/C][/ROW]
[ROW][C]p-value[/C][C](0.7223)[/C][C](0.6562)[/C][C](0.68)[/C][/ROW]
[ROW][C]Depression;E2[/C][C]0.0119[/C][C]-0.0405[/C][C]-0.0304[/C][/ROW]
[ROW][C]p-value[/C][C](0.8809)[/C][C](0.6086)[/C][C](0.5951)[/C][/ROW]
[ROW][C]Depression;E3
[/C][C]0.1133[/C][C]0.1077[/C][C]0.0806[/C][/ROW]
[ROW][C]p-value[/C][C](0.1513)[/C][C](0.1727)[/C][C](0.1616)[/C][/ROW]
[ROW][C]I1;I2[/C][C]0.5992[/C][C]0.5852[/C][C]0.4418[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I1;I3[/C][C]0.5207[/C][C]0.5018[/C][C]0.3854[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I1;E1[/C][C]0.4571[/C][C]0.5076[/C][C]0.3779[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I1;E2[/C][C]0.2385[/C][C]0.2688[/C][C]0.2047[/C][/ROW]
[ROW][C]p-value[/C][C](0.0022)[/C][C](5e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]I1;E3
[/C][C]0.1362[/C][C]0.1478[/C][C]0.1162[/C][/ROW]
[ROW][C]p-value[/C][C](0.0839)[/C][C](0.0606)[/C][C](0.0415)[/C][/ROW]
[ROW][C]I2;I3[/C][C]0.4452[/C][C]0.44[/C][C]0.3331[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I2;E1[/C][C]0.2605[/C][C]0.3057[/C][C]0.2201[/C][/ROW]
[ROW][C]p-value[/C][C](8e-04)[/C][C](1e-04)[/C][C](1e-04)[/C][/ROW]
[ROW][C]I2;E2[/C][C]0.5616[/C][C]0.5005[/C][C]0.3812[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]I2;E3
[/C][C]-0.0094[/C][C]0.0291[/C][C]0.0222[/C][/ROW]
[ROW][C]p-value[/C][C](0.9058)[/C][C](0.7132)[/C][C](0.6956)[/C][/ROW]
[ROW][C]I3;E1[/C][C]0.2411[/C][C]0.2578[/C][C]0.1921[/C][/ROW]
[ROW][C]p-value[/C][C](0.002)[/C][C](9e-04)[/C][C](7e-04)[/C][/ROW]
[ROW][C]I3;E2[/C][C]0.2504[/C][C]0.2241[/C][C]0.1653[/C][/ROW]
[ROW][C]p-value[/C][C](0.0013)[/C][C](0.0041)[/C][C](0.0033)[/C][/ROW]
[ROW][C]I3;E3
[/C][C]0.0402[/C][C]-0.0096[/C][C]-0.0092[/C][/ROW]
[ROW][C]p-value[/C][C](0.6116)[/C][C](0.9035)[/C][C](0.8702)[/C][/ROW]
[ROW][C]E1;E2[/C][C]0.1678[/C][C]0.2423[/C][C]0.1748[/C][/ROW]
[ROW][C]p-value[/C][C](0.0329)[/C][C](0.0019)[/C][C](0.0022)[/C][/ROW]
[ROW][C]E1;E3
[/C][C]0.416[/C][C]0.4224[/C][C]0.3239[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]E2;E3
[/C][C]0.1444[/C][C]0.254[/C][C]0.1824[/C][/ROW]
[ROW][C]p-value[/C][C](0.0667)[/C][C](0.0011)[/C][C](0.0013)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=197879&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=197879&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
Pop;Gender-0.0472-0.0472-0.0472
p-value(0.5508)(0.5508)(0.5491)
Pop;Happiness-0.01450.02790.0242
p-value(0.8543)(0.7243)(0.7231)
Pop;Depression-0.0292-0.021-0.018
p-value(0.7118)(0.791)(0.7901)
Pop;I10.0280.04870.0413
p-value(0.7234)(0.5385)(0.5369)
Pop;I20.06430.09130.0771
p-value(0.4166)(0.248)(0.2467)
Pop;I3-0.0278-0.0307-0.0258
p-value(0.7251)(0.6982)(0.697)
Pop;E10.08990.1010.0864
p-value(0.2554)(0.2011)(0.2002)
Pop;E20.08820.10410.0881
p-value(0.2644)(0.1873)(0.1864)
Pop;E3 0.13790.1530.1302
p-value(0.0801)(0.052)(0.0523)
Gender;Happiness0.04540.07420.0642
p-value(0.5666)(0.3481)(0.3465)
Gender;Depression0.05550.06120.0525
p-value(0.4833)(0.4394)(0.4377)
Gender;I1-0.1209-0.1365-0.1158
p-value(0.1253)(0.0833)(0.0833)
Gender;I2-0.2643-0.2557-0.2159
p-value(7e-04)(0.001)(0.0012)
Gender;I30.04580.04710.0396
p-value(0.5626)(0.5518)(0.5502)
Gender;E10.02540.03690.0316
p-value(0.7481)(0.6408)(0.6393)
Gender;E2-0.0486-0.0293-0.0248
p-value(0.5392)(0.7117)(0.7104)
Gender;E3 0.04270.06250.0532
p-value(0.5891)(0.4293)(0.4276)
Happiness;Depression-0.5442-0.4738-0.3724
p-value(0)(0)(0)
Happiness;I1-0.0326-0.0074-0.0075
p-value(0.6806)(0.9252)(0.8971)
Happiness;I2-0.0528-0.0731-0.0525
p-value(0.5045)(0.3553)(0.3626)
Happiness;I3-0.0065-0.0265-0.018
p-value(0.935)(0.7378)(0.7535)
Happiness;E10.05420.08220.0635
p-value(0.4931)(0.2984)(0.2771)
Happiness;E20.00870.01370.0106
p-value(0.9129)(0.8626)(0.8543)
Happiness;E3 -0.0193-0.0064-0.0062
p-value(0.8079)(0.9356)(0.9145)
Depression;I10.03770.01230.0085
p-value(0.6335)(0.8765)(0.8824)
Depression;I2-0.0517-0.0899-0.0633
p-value(0.5134)(0.2554)(0.2679)
Depression;I3-0.02750.00390.003
p-value(0.7286)(0.9611)(0.958)
Depression;E1-0.0281-0.0352-0.0239
p-value(0.7223)(0.6562)(0.68)
Depression;E20.0119-0.0405-0.0304
p-value(0.8809)(0.6086)(0.5951)
Depression;E3 0.11330.10770.0806
p-value(0.1513)(0.1727)(0.1616)
I1;I20.59920.58520.4418
p-value(0)(0)(0)
I1;I30.52070.50180.3854
p-value(0)(0)(0)
I1;E10.45710.50760.3779
p-value(0)(0)(0)
I1;E20.23850.26880.2047
p-value(0.0022)(5e-04)(3e-04)
I1;E3 0.13620.14780.1162
p-value(0.0839)(0.0606)(0.0415)
I2;I30.44520.440.3331
p-value(0)(0)(0)
I2;E10.26050.30570.2201
p-value(8e-04)(1e-04)(1e-04)
I2;E20.56160.50050.3812
p-value(0)(0)(0)
I2;E3 -0.00940.02910.0222
p-value(0.9058)(0.7132)(0.6956)
I3;E10.24110.25780.1921
p-value(0.002)(9e-04)(7e-04)
I3;E20.25040.22410.1653
p-value(0.0013)(0.0041)(0.0033)
I3;E3 0.0402-0.0096-0.0092
p-value(0.6116)(0.9035)(0.8702)
E1;E20.16780.24230.1748
p-value(0.0329)(0.0019)(0.0022)
E1;E3 0.4160.42240.3239
p-value(0)(0)(0)
E2;E3 0.14440.2540.1824
p-value(0.0667)(0.0011)(0.0013)



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')