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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 computationWed, 25 Jan 2017 11:04:58 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Jan/25/t1485338718zfw24i5n8bworec.htm/, Retrieved Tue, 14 May 2024 16:25:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=306552, Retrieved Tue, 14 May 2024 16:25:50 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact37

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Dataset

Dataseries X:
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Histogram
Boxplots 
22 14 22 4 2 4 3 5 4
24 19 24 5 3 3 4 5 4
21 17 26 4 4 5 4 5 4
21 17 21 3 4 3 3 4 4
24 15 26 4 4 5 4 5 4
20 20 25 3 4 4 4 5 5
22 15 21 3 4 4 3 3 4
20 19 24 3 4 5 4 4 4
19 15 27 4 5 4 4 5 5
23 15 28 4 5 5 4 5 5
21 19 23 4 4 2 4 5 4
19 NA 25 4 4 5 3 5 4
19 20 24 4 4 4 3 4 5
21 18 24 3 3 5 4 4 5
21 15 24 4 4 5 4 2 5
22 14 25 3 4 5 4 4 5
22 20 25 3 4 5 4 4 5
19 NA NA NA NA 5 NA 5 5
21 16 25 5 5 4 3 4 4
21 16 25 4 4 4 4 5 4
21 16 24 3 4 5 3 4 5
20 10 26 4 4 4 4 5 5
22 19 26 4 4 5 4 4 5
22 19 25 4 4 5 4 4 4
24 16 26 4 4 5 4 4 5
21 15 23 3 4 4 4 4 4
19 18 24 3 4 4 3 5 5
19 17 24 4 4 4 4 4 4
23 19 25 2 4 5 4 5 5
21 17 25 5 4 4 4 4 4
21 NA 24 4 3 5 4 4 4
19 19 28 4 5 5 4 5 5
21 20 27 5 4 5 4 4 5
19 5 NA 4 3 5 4 NA 5
21 19 23 2 3 5 4 5 4
21 16 23 4 5 2 4 4 4
23 15 24 3 4 5 4 4 4
19 16 24 4 3 5 3 4 5
19 18 22 4 3 3 4 4 4
19 16 25 4 4 5 4 4 4
18 15 25 5 4 4 4 4 4
22 17 28 4 5 5 4 5 5
18 NA 22 3 3 4 4 4 4
22 20 28 5 5 5 3 5 5
18 19 25 5 4 5 3 4 4
22 7 24 4 4 4 3 4 5
22 13 24 4 4 4 4 4 4
19 16 23 3 5 5 3 3 4
22 16 25 4 4 4 4 5 4
25 NA NA 2 3 4 2 NA 4
19 18 26 4 5 5 4 4 4
19 18 25 5 5 2 4 5 4
19 16 27 5 5 5 4 4 4
19 17 26 4 3 5 4 5 5
21 19 23 4 3 4 3 4 5
21 16 25 4 4 5 4 4 4
20 19 21 3 4 4 3 3 4
19 13 22 3 4 4 4 4 3
19 16 24 4 4 4 3 5 4
22 13 25 4 4 4 4 5 4
26 12 27 5 5 3 4 5 5
19 17 24 2 4 4 4 5 5
21 17 26 4 4 4 4 5 5
21 17 21 3 4 4 4 2 4
20 16 27 4 4 5 4 5 5
23 16 22 4 2 4 4 4 4
22 14 23 4 4 4 3 5 3
22 16 24 4 4 4 3 5 4
22 13 25 5 4 5 3 3 5
21 16 24 3 4 4 3 5 5
21 14 23 3 4 4 3 4 5
22 20 28 4 5 5 5 5 4
23 12 NA 4 4 3 4 NA 4
18 13 24 4 4 4 4 4 4
24 18 26 4 4 4 5 5 4
22 14 22 3 4 3 4 4 4
21 19 25 4 4 4 4 5 4
21 18 25 3 4 5 3 5 5
21 14 24 3 3 5 4 4 5
23 18 24 4 3 5 4 4 4
21 19 26 4 4 5 4 4 5
23 15 21 3 3 3 4 4 4
21 14 25 4 4 4 4 5 4
19 17 25 4 4 3 4 5 5
21 19 26 4 4 4 4 5 5
21 13 25 5 4 4 4 4 4
21 19 26 5 4 3 5 4 5
23 18 27 4 4 5 4 5 5
23 20 25 3 4 5 4 4 5
20 15 NA 3 NA 4 4 4 4
20 15 20 4 2 3 3 4 4
19 15 24 4 4 5 4 4 3
23 20 26 4 4 5 4 4 5
22 15 25 4 4 4 4 5 4
19 19 25 4 5 4 4 5 3
23 18 24 3 4 4 3 5 5
22 18 26 4 4 5 4 4 5
22 15 25 5 4 3 4 4 5
21 20 28 5 4 5 5 4 5
21 17 27 4 5 4 4 5 5
21 12 25 3 4 5 4 4 5
21 18 26 5 3 4 4 5 5
22 19 26 4 4 5 4 4 5
25 20 26 5 4 4 4 4 5
21 NA NA 3 4 4 3 NA 4
23 17 28 5 4 4 5 5 5
19 15 NA 4 4 5 3 NA 5
22 16 21 4 4 3 3 4 3
20 18 25 4 4 5 4 4 4
21 18 25 4 4 5 4 4 4
25 14 24 3 4 5 4 5 3
21 15 24 4 4 4 4 4 4
19 12 24 4 4 4 3 4 5
23 17 23 3 3 4 3 5 5
22 14 23 4 4 4 3 4 4
21 18 24 3 4 5 4 4 4
24 17 24 4 4 5 4 3 4
21 17 25 5 4 5 1 5 5
19 20 28 5 4 5 4 5 5
18 16 23 4 4 4 4 4 3
19 14 24 4 4 5 3 4 4
20 15 23 3 4 4 3 4 5
19 18 24 4 4 4 4 4 4
22 20 25 4 4 4 4 5 4
21 17 24 4 5 3 4 4 4
22 17 23 3 4 4 4 4 4
24 17 23 4 4 4 3 4 4
28 17 25 4 4 4 4 4 5
19 15 21 3 4 3 3 4 4
18 17 22 4 4 4 3 4 3
23 18 19 3 2 4 2 4 4
19 17 24 4 4 4 3 5 4
23 20 25 5 4 4 3 5 4
19 15 21 2 4 4 3 3 5
22 16 22 3 3 4 4 4 4
21 15 23 4 4 4 3 4 4
19 18 27 5 5 4 4 5 4
22 11 NA NA NA 2 NA NA NA
21 15 26 4 5 5 4 4 4
23 18 29 5 5 5 5 5 4
22 20 28 4 5 5 4 5 5
19 19 24 4 4 4 3 4 5
19 14 25 3 4 5 4 5 4
21 16 25 4 4 5 4 4 4
22 15 22 4 4 2 4 4 4
21 17 25 4 4 3 4 5 5
20 18 26 4 4 4 4 5 5
23 20 26 5 4 5 3 5 4
22 17 24 4 3 5 4 4 4
23 18 25 4 4 5 4 4 4
22 15 19 3 3 2 3 4 4
21 16 25 4 5 5 4 4 3
20 11 23 4 4 4 3 4 4
18 15 25 4 4 4 4 4 5
18 18 25 3 4 5 3 5 5
20 17 26 4 4 5 4 4 5
19 16 27 5 4 5 4 5 4
21 12 24 4 4 5 4 3 4
24 19 22 2 3 5 4 4 4
19 18 25 4 4 4 4 4 5
20 15 24 4 3 4 3 5 5
19 17 23 4 4 4 4 4 3
23 19 27 4 5 5 5 4 4
22 18 24 5 4 3 4 4 4
21 19 24 5 4 4 3 4 4
24 16 21 3 3 1 4 5 5
21 16 25 4 4 4 4 4 5
21 16 25 4 4 4 4 5 4
22 14 23 2 3 4 5 5 4

Tables (Output of Computation)





Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306552&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]1 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=306552&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306552&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R ServerBig Analytics Cloud Computing Center






Correlations for all pairs of data series (method=pearson)
Bevr_LeeftijdITHSUMSKEOUSUMSKEOU1SKEOU2SKEOU3SKEOU4SKEOU5SKEOU6
Bevr_Leeftijd10.0510.042-0.015-0.124-0.0160.160.0590.077
ITHSUM0.05110.2680.1120.0650.1560.1380.1540.132
SKEOUSUM0.0420.26810.5190.5580.490.4590.4220.384
SKEOU1-0.0150.1120.51910.265-0.0340.0840.109-0.023
SKEOU2-0.1240.0650.5580.26510.1350.1940.062-0.022
SKEOU3-0.0160.1560.49-0.0340.13510.073-0.0890.118
SKEOU40.160.1380.4590.0840.1940.07310.086-0.033
SKEOU50.0590.1540.4220.1090.062-0.0890.08610.119
SKEOU60.0770.1320.384-0.023-0.0220.118-0.0330.1191

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & Bevr_Leeftijd & ITHSUM & SKEOUSUM & SKEOU1 & SKEOU2 & SKEOU3 & SKEOU4 & SKEOU5 & SKEOU6 \tabularnewline
Bevr_Leeftijd & 1 & 0.051 & 0.042 & -0.015 & -0.124 & -0.016 & 0.16 & 0.059 & 0.077 \tabularnewline
ITHSUM & 0.051 & 1 & 0.268 & 0.112 & 0.065 & 0.156 & 0.138 & 0.154 & 0.132 \tabularnewline
SKEOUSUM & 0.042 & 0.268 & 1 & 0.519 & 0.558 & 0.49 & 0.459 & 0.422 & 0.384 \tabularnewline
SKEOU1 & -0.015 & 0.112 & 0.519 & 1 & 0.265 & -0.034 & 0.084 & 0.109 & -0.023 \tabularnewline
SKEOU2 & -0.124 & 0.065 & 0.558 & 0.265 & 1 & 0.135 & 0.194 & 0.062 & -0.022 \tabularnewline
SKEOU3 & -0.016 & 0.156 & 0.49 & -0.034 & 0.135 & 1 & 0.073 & -0.089 & 0.118 \tabularnewline
SKEOU4 & 0.16 & 0.138 & 0.459 & 0.084 & 0.194 & 0.073 & 1 & 0.086 & -0.033 \tabularnewline
SKEOU5 & 0.059 & 0.154 & 0.422 & 0.109 & 0.062 & -0.089 & 0.086 & 1 & 0.119 \tabularnewline
SKEOU6 & 0.077 & 0.132 & 0.384 & -0.023 & -0.022 & 0.118 & -0.033 & 0.119 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306552&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]Bevr_Leeftijd[/C][C]ITHSUM[/C][C]SKEOUSUM[/C][C]SKEOU1[/C][C]SKEOU2[/C][C]SKEOU3[/C][C]SKEOU4[/C][C]SKEOU5[/C][C]SKEOU6[/C][/ROW]
[ROW][C]Bevr_Leeftijd[/C][C]1[/C][C]0.051[/C][C]0.042[/C][C]-0.015[/C][C]-0.124[/C][C]-0.016[/C][C]0.16[/C][C]0.059[/C][C]0.077[/C][/ROW]
[ROW][C]ITHSUM[/C][C]0.051[/C][C]1[/C][C]0.268[/C][C]0.112[/C][C]0.065[/C][C]0.156[/C][C]0.138[/C][C]0.154[/C][C]0.132[/C][/ROW]
[ROW][C]SKEOUSUM[/C][C]0.042[/C][C]0.268[/C][C]1[/C][C]0.519[/C][C]0.558[/C][C]0.49[/C][C]0.459[/C][C]0.422[/C][C]0.384[/C][/ROW]
[ROW][C]SKEOU1[/C][C]-0.015[/C][C]0.112[/C][C]0.519[/C][C]1[/C][C]0.265[/C][C]-0.034[/C][C]0.084[/C][C]0.109[/C][C]-0.023[/C][/ROW]
[ROW][C]SKEOU2[/C][C]-0.124[/C][C]0.065[/C][C]0.558[/C][C]0.265[/C][C]1[/C][C]0.135[/C][C]0.194[/C][C]0.062[/C][C]-0.022[/C][/ROW]
[ROW][C]SKEOU3[/C][C]-0.016[/C][C]0.156[/C][C]0.49[/C][C]-0.034[/C][C]0.135[/C][C]1[/C][C]0.073[/C][C]-0.089[/C][C]0.118[/C][/ROW]
[ROW][C]SKEOU4[/C][C]0.16[/C][C]0.138[/C][C]0.459[/C][C]0.084[/C][C]0.194[/C][C]0.073[/C][C]1[/C][C]0.086[/C][C]-0.033[/C][/ROW]
[ROW][C]SKEOU5[/C][C]0.059[/C][C]0.154[/C][C]0.422[/C][C]0.109[/C][C]0.062[/C][C]-0.089[/C][C]0.086[/C][C]1[/C][C]0.119[/C][/ROW]
[ROW][C]SKEOU6[/C][C]0.077[/C][C]0.132[/C][C]0.384[/C][C]-0.023[/C][C]-0.022[/C][C]0.118[/C][C]-0.033[/C][C]0.119[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=306552&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306552&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=pearson)
Bevr_LeeftijdITHSUMSKEOUSUMSKEOU1SKEOU2SKEOU3SKEOU4SKEOU5SKEOU6
Bevr_Leeftijd10.0510.042-0.015-0.124-0.0160.160.0590.077
ITHSUM0.05110.2680.1120.0650.1560.1380.1540.132
SKEOUSUM0.0420.26810.5190.5580.490.4590.4220.384
SKEOU1-0.0150.1120.51910.265-0.0340.0840.109-0.023
SKEOU2-0.1240.0650.5580.26510.1350.1940.062-0.022
SKEOU3-0.0160.1560.49-0.0340.13510.073-0.0890.118
SKEOU40.160.1380.4590.0840.1940.07310.086-0.033
SKEOU50.0590.1540.4220.1090.062-0.0890.08610.119
SKEOU60.0770.1320.384-0.023-0.0220.118-0.0330.1191






Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
Bevr_Leeftijd;ITHSUM0.05070.07140.0526
p-value(0.5272)(0.3726)(0.3909)
Bevr_Leeftijd;SKEOUSUM0.0420.04760.0349
p-value(0.6006)(0.5525)(0.5741)
Bevr_Leeftijd;SKEOU1-0.0149-0.0289-0.0255
p-value(0.8526)(0.7189)(0.7034)
Bevr_Leeftijd;SKEOU2-0.1238-0.1355-0.1152
p-value(0.1212)(0.0896)(0.0903)
Bevr_Leeftijd;SKEOU3-0.01590.04660.0394
p-value(0.8424)(0.5609)(0.5592)
Bevr_Leeftijd;SKEOU40.15980.16380.1412
p-value(0.0449)(0.0397)(0.0406)
Bevr_Leeftijd;SKEOU50.05940.06860.0594
p-value(0.4587)(0.392)(0.3892)
Bevr_Leeftijd;SKEOU60.0770.03170.0261
p-value(0.3364)(0.6926)(0.7055)
ITHSUM;SKEOUSUM0.26820.32490.2463
p-value(7e-04)(0)(1e-04)
ITHSUM;SKEOU10.11250.15840.1324
p-value(0.1594)(0.0469)(0.0429)
ITHSUM;SKEOU20.06470.07170.059
p-value(0.4191)(0.3706)(0.3753)
ITHSUM;SKEOU30.15570.19720.1608
p-value(0.0508)(0.013)(0.0147)
ITHSUM;SKEOU40.13790.14390.1228
p-value(0.084)(0.0713)(0.0685)
ITHSUM;SKEOU50.15370.15670.1323
p-value(0.0538)(0.0493)(0.0501)
ITHSUM;SKEOU60.13170.17840.1515
p-value(0.099)(0.0249)(0.0247)
SKEOUSUM;SKEOU10.51870.53050.4483
p-value(0)(0)(0)
SKEOUSUM;SKEOU20.55820.50490.4434
p-value(0)(0)(0)
SKEOUSUM;SKEOU30.48950.46280.3968
p-value(0)(0)(0)
SKEOUSUM;SKEOU40.45850.46960.4136
p-value(0)(0)(0)
SKEOUSUM;SKEOU50.4220.41260.3577
p-value(0)(0)(0)
SKEOUSUM;SKEOU60.38410.40340.3462
p-value(0)(0)(0)
SKEOU1;SKEOU20.2650.27870.2546
p-value(8e-04)(4e-04)(4e-04)
SKEOU1;SKEOU3-0.0335-0.0355-0.0322
p-value(0.6758)(0.6575)(0.6539)
SKEOU1;SKEOU40.08440.13250.125
p-value(0.2918)(0.0971)(0.0891)
SKEOU1;SKEOU50.10890.11330.1059
p-value(0.173)(0.1563)(0.1504)
SKEOU1;SKEOU6-0.0226-0.0257-0.0231
p-value(0.7776)(0.7483)(0.7534)
SKEOU2;SKEOU30.13470.13350.1238
p-value(0.0916)(0.0944)(0.0906)
SKEOU2;SKEOU40.1940.16010.1508
p-value(0.0146)(0.0445)(0.0438)
SKEOU2;SKEOU50.06160.08370.0778
p-value(0.4419)(0.2959)(0.2991)
SKEOU2;SKEOU6-0.0217-0.0345-0.0317
p-value(0.7864)(0.6665)(0.6719)
SKEOU3;SKEOU40.0730.1480.137
p-value(0.362)(0.0634)(0.0646)
SKEOU3;SKEOU5-0.0891-0.081-0.0747
p-value(0.2657)(0.3114)(0.314)
SKEOU3;SKEOU60.11840.13940.1288
p-value(0.1385)(0.0806)(0.0824)
SKEOU4;SKEOU50.0860.10850.1038
p-value(0.2826)(0.1746)(0.1716)
SKEOU4;SKEOU6-0.0331-0.0274-0.0259
p-value(0.6793)(0.7324)(0.7322)
SKEOU5;SKEOU60.11880.14880.1409
p-value(0.1372)(0.0621)(0.0635)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
Bevr_Leeftijd;ITHSUM & 0.0507 & 0.0714 & 0.0526 \tabularnewline
p-value & (0.5272) & (0.3726) & (0.3909) \tabularnewline
Bevr_Leeftijd;SKEOUSUM & 0.042 & 0.0476 & 0.0349 \tabularnewline
p-value & (0.6006) & (0.5525) & (0.5741) \tabularnewline
Bevr_Leeftijd;SKEOU1 & -0.0149 & -0.0289 & -0.0255 \tabularnewline
p-value & (0.8526) & (0.7189) & (0.7034) \tabularnewline
Bevr_Leeftijd;SKEOU2 & -0.1238 & -0.1355 & -0.1152 \tabularnewline
p-value & (0.1212) & (0.0896) & (0.0903) \tabularnewline
Bevr_Leeftijd;SKEOU3 & -0.0159 & 0.0466 & 0.0394 \tabularnewline
p-value & (0.8424) & (0.5609) & (0.5592) \tabularnewline
Bevr_Leeftijd;SKEOU4 & 0.1598 & 0.1638 & 0.1412 \tabularnewline
p-value & (0.0449) & (0.0397) & (0.0406) \tabularnewline
Bevr_Leeftijd;SKEOU5 & 0.0594 & 0.0686 & 0.0594 \tabularnewline
p-value & (0.4587) & (0.392) & (0.3892) \tabularnewline
Bevr_Leeftijd;SKEOU6 & 0.077 & 0.0317 & 0.0261 \tabularnewline
p-value & (0.3364) & (0.6926) & (0.7055) \tabularnewline
ITHSUM;SKEOUSUM & 0.2682 & 0.3249 & 0.2463 \tabularnewline
p-value & (7e-04) & (0) & (1e-04) \tabularnewline
ITHSUM;SKEOU1 & 0.1125 & 0.1584 & 0.1324 \tabularnewline
p-value & (0.1594) & (0.0469) & (0.0429) \tabularnewline
ITHSUM;SKEOU2 & 0.0647 & 0.0717 & 0.059 \tabularnewline
p-value & (0.4191) & (0.3706) & (0.3753) \tabularnewline
ITHSUM;SKEOU3 & 0.1557 & 0.1972 & 0.1608 \tabularnewline
p-value & (0.0508) & (0.013) & (0.0147) \tabularnewline
ITHSUM;SKEOU4 & 0.1379 & 0.1439 & 0.1228 \tabularnewline
p-value & (0.084) & (0.0713) & (0.0685) \tabularnewline
ITHSUM;SKEOU5 & 0.1537 & 0.1567 & 0.1323 \tabularnewline
p-value & (0.0538) & (0.0493) & (0.0501) \tabularnewline
ITHSUM;SKEOU6 & 0.1317 & 0.1784 & 0.1515 \tabularnewline
p-value & (0.099) & (0.0249) & (0.0247) \tabularnewline
SKEOUSUM;SKEOU1 & 0.5187 & 0.5305 & 0.4483 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SKEOUSUM;SKEOU2 & 0.5582 & 0.5049 & 0.4434 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SKEOUSUM;SKEOU3 & 0.4895 & 0.4628 & 0.3968 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SKEOUSUM;SKEOU4 & 0.4585 & 0.4696 & 0.4136 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SKEOUSUM;SKEOU5 & 0.422 & 0.4126 & 0.3577 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SKEOUSUM;SKEOU6 & 0.3841 & 0.4034 & 0.3462 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
SKEOU1;SKEOU2 & 0.265 & 0.2787 & 0.2546 \tabularnewline
p-value & (8e-04) & (4e-04) & (4e-04) \tabularnewline
SKEOU1;SKEOU3 & -0.0335 & -0.0355 & -0.0322 \tabularnewline
p-value & (0.6758) & (0.6575) & (0.6539) \tabularnewline
SKEOU1;SKEOU4 & 0.0844 & 0.1325 & 0.125 \tabularnewline
p-value & (0.2918) & (0.0971) & (0.0891) \tabularnewline
SKEOU1;SKEOU5 & 0.1089 & 0.1133 & 0.1059 \tabularnewline
p-value & (0.173) & (0.1563) & (0.1504) \tabularnewline
SKEOU1;SKEOU6 & -0.0226 & -0.0257 & -0.0231 \tabularnewline
p-value & (0.7776) & (0.7483) & (0.7534) \tabularnewline
SKEOU2;SKEOU3 & 0.1347 & 0.1335 & 0.1238 \tabularnewline
p-value & (0.0916) & (0.0944) & (0.0906) \tabularnewline
SKEOU2;SKEOU4 & 0.194 & 0.1601 & 0.1508 \tabularnewline
p-value & (0.0146) & (0.0445) & (0.0438) \tabularnewline
SKEOU2;SKEOU5 & 0.0616 & 0.0837 & 0.0778 \tabularnewline
p-value & (0.4419) & (0.2959) & (0.2991) \tabularnewline
SKEOU2;SKEOU6 & -0.0217 & -0.0345 & -0.0317 \tabularnewline
p-value & (0.7864) & (0.6665) & (0.6719) \tabularnewline
SKEOU3;SKEOU4 & 0.073 & 0.148 & 0.137 \tabularnewline
p-value & (0.362) & (0.0634) & (0.0646) \tabularnewline
SKEOU3;SKEOU5 & -0.0891 & -0.081 & -0.0747 \tabularnewline
p-value & (0.2657) & (0.3114) & (0.314) \tabularnewline
SKEOU3;SKEOU6 & 0.1184 & 0.1394 & 0.1288 \tabularnewline
p-value & (0.1385) & (0.0806) & (0.0824) \tabularnewline
SKEOU4;SKEOU5 & 0.086 & 0.1085 & 0.1038 \tabularnewline
p-value & (0.2826) & (0.1746) & (0.1716) \tabularnewline
SKEOU4;SKEOU6 & -0.0331 & -0.0274 & -0.0259 \tabularnewline
p-value & (0.6793) & (0.7324) & (0.7322) \tabularnewline
SKEOU5;SKEOU6 & 0.1188 & 0.1488 & 0.1409 \tabularnewline
p-value & (0.1372) & (0.0621) & (0.0635) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306552&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]Bevr_Leeftijd;ITHSUM[/C][C]0.0507[/C][C]0.0714[/C][C]0.0526[/C][/ROW]
[ROW][C]p-value[/C][C](0.5272)[/C][C](0.3726)[/C][C](0.3909)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOUSUM[/C][C]0.042[/C][C]0.0476[/C][C]0.0349[/C][/ROW]
[ROW][C]p-value[/C][C](0.6006)[/C][C](0.5525)[/C][C](0.5741)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU1[/C][C]-0.0149[/C][C]-0.0289[/C][C]-0.0255[/C][/ROW]
[ROW][C]p-value[/C][C](0.8526)[/C][C](0.7189)[/C][C](0.7034)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU2[/C][C]-0.1238[/C][C]-0.1355[/C][C]-0.1152[/C][/ROW]
[ROW][C]p-value[/C][C](0.1212)[/C][C](0.0896)[/C][C](0.0903)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU3[/C][C]-0.0159[/C][C]0.0466[/C][C]0.0394[/C][/ROW]
[ROW][C]p-value[/C][C](0.8424)[/C][C](0.5609)[/C][C](0.5592)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU4[/C][C]0.1598[/C][C]0.1638[/C][C]0.1412[/C][/ROW]
[ROW][C]p-value[/C][C](0.0449)[/C][C](0.0397)[/C][C](0.0406)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU5[/C][C]0.0594[/C][C]0.0686[/C][C]0.0594[/C][/ROW]
[ROW][C]p-value[/C][C](0.4587)[/C][C](0.392)[/C][C](0.3892)[/C][/ROW]
[ROW][C]Bevr_Leeftijd;SKEOU6[/C][C]0.077[/C][C]0.0317[/C][C]0.0261[/C][/ROW]
[ROW][C]p-value[/C][C](0.3364)[/C][C](0.6926)[/C][C](0.7055)[/C][/ROW]
[ROW][C]ITHSUM;SKEOUSUM[/C][C]0.2682[/C][C]0.3249[/C][C]0.2463[/C][/ROW]
[ROW][C]p-value[/C][C](7e-04)[/C][C](0)[/C][C](1e-04)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU1[/C][C]0.1125[/C][C]0.1584[/C][C]0.1324[/C][/ROW]
[ROW][C]p-value[/C][C](0.1594)[/C][C](0.0469)[/C][C](0.0429)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU2[/C][C]0.0647[/C][C]0.0717[/C][C]0.059[/C][/ROW]
[ROW][C]p-value[/C][C](0.4191)[/C][C](0.3706)[/C][C](0.3753)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU3[/C][C]0.1557[/C][C]0.1972[/C][C]0.1608[/C][/ROW]
[ROW][C]p-value[/C][C](0.0508)[/C][C](0.013)[/C][C](0.0147)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU4[/C][C]0.1379[/C][C]0.1439[/C][C]0.1228[/C][/ROW]
[ROW][C]p-value[/C][C](0.084)[/C][C](0.0713)[/C][C](0.0685)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU5[/C][C]0.1537[/C][C]0.1567[/C][C]0.1323[/C][/ROW]
[ROW][C]p-value[/C][C](0.0538)[/C][C](0.0493)[/C][C](0.0501)[/C][/ROW]
[ROW][C]ITHSUM;SKEOU6[/C][C]0.1317[/C][C]0.1784[/C][C]0.1515[/C][/ROW]
[ROW][C]p-value[/C][C](0.099)[/C][C](0.0249)[/C][C](0.0247)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU1[/C][C]0.5187[/C][C]0.5305[/C][C]0.4483[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU2[/C][C]0.5582[/C][C]0.5049[/C][C]0.4434[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU3[/C][C]0.4895[/C][C]0.4628[/C][C]0.3968[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU4[/C][C]0.4585[/C][C]0.4696[/C][C]0.4136[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU5[/C][C]0.422[/C][C]0.4126[/C][C]0.3577[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SKEOUSUM;SKEOU6[/C][C]0.3841[/C][C]0.4034[/C][C]0.3462[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]SKEOU1;SKEOU2[/C][C]0.265[/C][C]0.2787[/C][C]0.2546[/C][/ROW]
[ROW][C]p-value[/C][C](8e-04)[/C][C](4e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]SKEOU1;SKEOU3[/C][C]-0.0335[/C][C]-0.0355[/C][C]-0.0322[/C][/ROW]
[ROW][C]p-value[/C][C](0.6758)[/C][C](0.6575)[/C][C](0.6539)[/C][/ROW]
[ROW][C]SKEOU1;SKEOU4[/C][C]0.0844[/C][C]0.1325[/C][C]0.125[/C][/ROW]
[ROW][C]p-value[/C][C](0.2918)[/C][C](0.0971)[/C][C](0.0891)[/C][/ROW]
[ROW][C]SKEOU1;SKEOU5[/C][C]0.1089[/C][C]0.1133[/C][C]0.1059[/C][/ROW]
[ROW][C]p-value[/C][C](0.173)[/C][C](0.1563)[/C][C](0.1504)[/C][/ROW]
[ROW][C]SKEOU1;SKEOU6[/C][C]-0.0226[/C][C]-0.0257[/C][C]-0.0231[/C][/ROW]
[ROW][C]p-value[/C][C](0.7776)[/C][C](0.7483)[/C][C](0.7534)[/C][/ROW]
[ROW][C]SKEOU2;SKEOU3[/C][C]0.1347[/C][C]0.1335[/C][C]0.1238[/C][/ROW]
[ROW][C]p-value[/C][C](0.0916)[/C][C](0.0944)[/C][C](0.0906)[/C][/ROW]
[ROW][C]SKEOU2;SKEOU4[/C][C]0.194[/C][C]0.1601[/C][C]0.1508[/C][/ROW]
[ROW][C]p-value[/C][C](0.0146)[/C][C](0.0445)[/C][C](0.0438)[/C][/ROW]
[ROW][C]SKEOU2;SKEOU5[/C][C]0.0616[/C][C]0.0837[/C][C]0.0778[/C][/ROW]
[ROW][C]p-value[/C][C](0.4419)[/C][C](0.2959)[/C][C](0.2991)[/C][/ROW]
[ROW][C]SKEOU2;SKEOU6[/C][C]-0.0217[/C][C]-0.0345[/C][C]-0.0317[/C][/ROW]
[ROW][C]p-value[/C][C](0.7864)[/C][C](0.6665)[/C][C](0.6719)[/C][/ROW]
[ROW][C]SKEOU3;SKEOU4[/C][C]0.073[/C][C]0.148[/C][C]0.137[/C][/ROW]
[ROW][C]p-value[/C][C](0.362)[/C][C](0.0634)[/C][C](0.0646)[/C][/ROW]
[ROW][C]SKEOU3;SKEOU5[/C][C]-0.0891[/C][C]-0.081[/C][C]-0.0747[/C][/ROW]
[ROW][C]p-value[/C][C](0.2657)[/C][C](0.3114)[/C][C](0.314)[/C][/ROW]
[ROW][C]SKEOU3;SKEOU6[/C][C]0.1184[/C][C]0.1394[/C][C]0.1288[/C][/ROW]
[ROW][C]p-value[/C][C](0.1385)[/C][C](0.0806)[/C][C](0.0824)[/C][/ROW]
[ROW][C]SKEOU4;SKEOU5[/C][C]0.086[/C][C]0.1085[/C][C]0.1038[/C][/ROW]
[ROW][C]p-value[/C][C](0.2826)[/C][C](0.1746)[/C][C](0.1716)[/C][/ROW]
[ROW][C]SKEOU4;SKEOU6[/C][C]-0.0331[/C][C]-0.0274[/C][C]-0.0259[/C][/ROW]
[ROW][C]p-value[/C][C](0.6793)[/C][C](0.7324)[/C][C](0.7322)[/C][/ROW]
[ROW][C]SKEOU5;SKEOU6[/C][C]0.1188[/C][C]0.1488[/C][C]0.1409[/C][/ROW]
[ROW][C]p-value[/C][C](0.1372)[/C][C](0.0621)[/C][C](0.0635)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=306552&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306552&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
Bevr_Leeftijd;ITHSUM0.05070.07140.0526
p-value(0.5272)(0.3726)(0.3909)
Bevr_Leeftijd;SKEOUSUM0.0420.04760.0349
p-value(0.6006)(0.5525)(0.5741)
Bevr_Leeftijd;SKEOU1-0.0149-0.0289-0.0255
p-value(0.8526)(0.7189)(0.7034)
Bevr_Leeftijd;SKEOU2-0.1238-0.1355-0.1152
p-value(0.1212)(0.0896)(0.0903)
Bevr_Leeftijd;SKEOU3-0.01590.04660.0394
p-value(0.8424)(0.5609)(0.5592)
Bevr_Leeftijd;SKEOU40.15980.16380.1412
p-value(0.0449)(0.0397)(0.0406)
Bevr_Leeftijd;SKEOU50.05940.06860.0594
p-value(0.4587)(0.392)(0.3892)
Bevr_Leeftijd;SKEOU60.0770.03170.0261
p-value(0.3364)(0.6926)(0.7055)
ITHSUM;SKEOUSUM0.26820.32490.2463
p-value(7e-04)(0)(1e-04)
ITHSUM;SKEOU10.11250.15840.1324
p-value(0.1594)(0.0469)(0.0429)
ITHSUM;SKEOU20.06470.07170.059
p-value(0.4191)(0.3706)(0.3753)
ITHSUM;SKEOU30.15570.19720.1608
p-value(0.0508)(0.013)(0.0147)
ITHSUM;SKEOU40.13790.14390.1228
p-value(0.084)(0.0713)(0.0685)
ITHSUM;SKEOU50.15370.15670.1323
p-value(0.0538)(0.0493)(0.0501)
ITHSUM;SKEOU60.13170.17840.1515
p-value(0.099)(0.0249)(0.0247)
SKEOUSUM;SKEOU10.51870.53050.4483
p-value(0)(0)(0)
SKEOUSUM;SKEOU20.55820.50490.4434
p-value(0)(0)(0)
SKEOUSUM;SKEOU30.48950.46280.3968
p-value(0)(0)(0)
SKEOUSUM;SKEOU40.45850.46960.4136
p-value(0)(0)(0)
SKEOUSUM;SKEOU50.4220.41260.3577
p-value(0)(0)(0)
SKEOUSUM;SKEOU60.38410.40340.3462
p-value(0)(0)(0)
SKEOU1;SKEOU20.2650.27870.2546
p-value(8e-04)(4e-04)(4e-04)
SKEOU1;SKEOU3-0.0335-0.0355-0.0322
p-value(0.6758)(0.6575)(0.6539)
SKEOU1;SKEOU40.08440.13250.125
p-value(0.2918)(0.0971)(0.0891)
SKEOU1;SKEOU50.10890.11330.1059
p-value(0.173)(0.1563)(0.1504)
SKEOU1;SKEOU6-0.0226-0.0257-0.0231
p-value(0.7776)(0.7483)(0.7534)
SKEOU2;SKEOU30.13470.13350.1238
p-value(0.0916)(0.0944)(0.0906)
SKEOU2;SKEOU40.1940.16010.1508
p-value(0.0146)(0.0445)(0.0438)
SKEOU2;SKEOU50.06160.08370.0778
p-value(0.4419)(0.2959)(0.2991)
SKEOU2;SKEOU6-0.0217-0.0345-0.0317
p-value(0.7864)(0.6665)(0.6719)
SKEOU3;SKEOU40.0730.1480.137
p-value(0.362)(0.0634)(0.0646)
SKEOU3;SKEOU5-0.0891-0.081-0.0747
p-value(0.2657)(0.3114)(0.314)
SKEOU3;SKEOU60.11840.13940.1288
p-value(0.1385)(0.0806)(0.0824)
SKEOU4;SKEOU50.0860.10850.1038
p-value(0.2826)(0.1746)(0.1716)
SKEOU4;SKEOU6-0.0331-0.0274-0.0259
p-value(0.6793)(0.7324)(0.7322)
SKEOU5;SKEOU60.11880.14880.1409
p-value(0.1372)(0.0621)(0.0635)






Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I errorPearson rSpearman rhoKendall tau
0.010.220.220.22
0.020.250.250.25
0.030.250.280.28
0.040.250.310.28
0.050.280.390.36
0.060.330.390.39
0.070.330.440.47
0.080.330.470.47
0.090.360.530.53
0.10.420.580.58

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Correlation Tests \tabularnewline
Number of significant by total number of Correlations \tabularnewline
Type I error & Pearson r & Spearman rho & Kendall tau \tabularnewline
0.01 & 0.22 & 0.22 & 0.22 \tabularnewline
0.02 & 0.25 & 0.25 & 0.25 \tabularnewline
0.03 & 0.25 & 0.28 & 0.28 \tabularnewline
0.04 & 0.25 & 0.31 & 0.28 \tabularnewline
0.05 & 0.28 & 0.39 & 0.36 \tabularnewline
0.06 & 0.33 & 0.39 & 0.39 \tabularnewline
0.07 & 0.33 & 0.44 & 0.47 \tabularnewline
0.08 & 0.33 & 0.47 & 0.47 \tabularnewline
0.09 & 0.36 & 0.53 & 0.53 \tabularnewline
0.1 & 0.42 & 0.58 & 0.58 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=306552&T=3

[TABLE]
[ROW][C]Meta Analysis of Correlation Tests[/C][/ROW]
[ROW][C]Number of significant by total number of Correlations[/C][/ROW]
[ROW][C]Type I error[/C][C]Pearson r[/C][C]Spearman rho[/C][C]Kendall tau[/C][/ROW]
[ROW][C]0.01[/C][C]0.22[/C][C]0.22[/C][C]0.22[/C][/ROW]
[ROW][C]0.02[/C][C]0.25[/C][C]0.25[/C][C]0.25[/C][/ROW]
[ROW][C]0.03[/C][C]0.25[/C][C]0.28[/C][C]0.28[/C][/ROW]
[ROW][C]0.04[/C][C]0.25[/C][C]0.31[/C][C]0.28[/C][/ROW]
[ROW][C]0.05[/C][C]0.28[/C][C]0.39[/C][C]0.36[/C][/ROW]
[ROW][C]0.06[/C][C]0.33[/C][C]0.39[/C][C]0.39[/C][/ROW]
[ROW][C]0.07[/C][C]0.33[/C][C]0.44[/C][C]0.47[/C][/ROW]
[ROW][C]0.08[/C][C]0.33[/C][C]0.47[/C][C]0.47[/C][/ROW]
[ROW][C]0.09[/C][C]0.36[/C][C]0.53[/C][C]0.53[/C][/ROW]
[ROW][C]0.1[/C][C]0.42[/C][C]0.58[/C][C]0.58[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=306552&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=306552&T=3

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I errorPearson rSpearman rhoKendall tau
0.010.220.220.22
0.020.250.250.25
0.030.250.280.28
0.040.250.310.28
0.050.280.390.36
0.060.330.390.39
0.070.330.440.47
0.080.330.470.47
0.090.360.530.53
0.10.420.580.58


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.85 ; par2 = 0 ;
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$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
x <- na.omit(x)
y <- t(na.omit(t(y)))
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
print(n)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
ncorrs <- (n*n -n)/2
mycorrs <- array(0, dim=c(10,3))
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)
for (iii in 1:10) {
iiid100 <- iii / 100
if (rp$p.value < iiid100) mycorrs[iii, 1] = mycorrs[iii, 1] + 1
if (rs$p.value < iiid100) mycorrs[iii, 2] = mycorrs[iii, 2] + 1
if (rk$p.value < iiid100) mycorrs[iii, 3] = mycorrs[iii, 3] + 1
}
}
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Correlation Tests',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Number of significant by total number of Correlations',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Type I error',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)
for (iii in 1:10) {
iiid100 <- iii / 100
a<-table.row.start(a)
a<-table.element(a,round(iiid100,2),header=T)
a<-table.element(a,round(mycorrs[iii,1]/ncorrs,2))
a<-table.element(a,round(mycorrs[iii,2]/ncorrs,2))
a<-table.element(a,round(mycorrs[iii,3]/ncorrs,2))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')