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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_pairs.wasp
Title produced by softwareKendall tau Correlation Matrix
Date of computationFri, 06 Dec 2013 03:03:23 -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/2013/Dec/06/t1386317013d7qd2dnl9cfxebx.htm/, Retrieved Fri, 29 Mar 2024 10:54:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231290, Retrieved Fri, 29 Mar 2024 10:54:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact112
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [ws10] [2013-12-06 08:03:23] [b11444c1beff55480dbed17c58cce579] [Current]
- R P     [Kendall tau Correlation Matrix] [ws10] [2013-12-06 08:20:41] [a42ee995bae2f8379b6c063b00748297]
- RMP     [Multiple Regression] [ws10] [2013-12-06 08:30:48] [a42ee995bae2f8379b6c063b00748297]
- RMP     [Multiple Regression] [ws10] [2013-12-06 08:30:48] [a42ee995bae2f8379b6c063b00748297]
- RMP     [Multiple Regression] [ws10] [2013-12-06 08:30:48] [a42ee995bae2f8379b6c063b00748297]
- RMP     [Recursive Partitioning (Regression Trees)] [ws10] [2013-12-06 08:57:44] [a42ee995bae2f8379b6c063b00748297]
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Dataseries X:
1 21.033 0.02211 0.414783 0.815285
1 19.085 0.01929 0.458359 0.819521
1 20.651 0.01309 0.429895 0.825288
1 20.644 0.01353 0.434969 0.819235
1 19.649 0.01767 0.417356 0.823484
1 21.378 0.01222 0.415564 0.825069
1 24.886 0.00607 0.59604 0.764112
1 26.892 0.00344 0.63742 0.763262
1 21.812 0.0107 0.615551 0.773587
1 21.862 0.01022 0.547037 0.798463
1 21.118 0.01166 0.611137 0.776156
1 21.414 0.01141 0.58339 0.79252
1 25.703 0.00581 0.4606 0.646846
1 24.889 0.01041 0.430166 0.665833
1 24.922 0.00609 0.474791 0.654027
1 25.175 0.00839 0.565924 0.658245
1 22.333 0.01859 0.56738 0.644692
1 20.376 0.02919 0.631099 0.605417
1 17.28 0.0316 0.665318 0.719467
1 17.153 0.03365 0.649554 0.68608
1 17.536 0.03871 0.660125 0.704087
1 19.493 0.01849 0.629017 0.698951
1 22.468 0.0128 0.61906 0.679834
1 20.422 0.0184 0.537264 0.686894
1 23.831 0.01778 0.397937 0.732479
1 22.066 0.02887 0.522746 0.737948
1 25.908 0.01095 0.418622 0.720916
1 25.119 0.01328 0.358773 0.726652
1 25.97 0.00677 0.470478 0.676258
1 25.678 0.0117 0.427785 0.723797
0 26.775 0.00339 0.422229 0.741367
0 30.94 0.00167 0.432439 0.742055
0 30.775 0.00119 0.465946 0.738703
0 32.684 0.00072 0.368535 0.742133
0 33.047 0.00065 0.340068 0.741899
0 31.732 0.00135 0.344252 0.742737
1 23.216 0.00586 0.360148 0.778834
1 24.951 0.0034 0.341435 0.783626
1 26.738 0.00231 0.403884 0.766209
1 26.31 0.00265 0.396793 0.758324
1 26.822 0.00231 0.32648 0.765623
1 26.453 0.00257 0.306443 0.759203
0 22.736 0.0074 0.305062 0.654172
0 23.145 0.00675 0.457702 0.634267
0 25.368 0.00454 0.438296 0.635285
0 25.032 0.00476 0.431285 0.638928
0 24.602 0.00476 0.467489 0.631653
0 26.805 0.00432 0.610367 0.635204
0 23.162 0.00839 0.579597 0.733659
0 24.971 0.00462 0.538688 0.754073
0 25.135 0.00479 0.553134 0.775933
0 25.03 0.00474 0.507504 0.760361
0 24.692 0.00481 0.459766 0.766204
0 25.429 0.00484 0.420383 0.785714
1 21.028 0.01036 0.536009 0.819032
1 20.767 0.0118 0.558586 0.811843
1 21.422 0.00969 0.541781 0.821364
1 22.817 0.00681 0.530529 0.817756
1 22.603 0.00786 0.540049 0.813432
1 21.66 0.01143 0.547975 0.817396
0 25.554 0.00871 0.341788 0.678874
0 26.138 0.00301 0.447979 0.686264
0 25.856 0.0034 0.364867 0.694399
0 25.964 0.00351 0.25657 0.683296
0 26.415 0.003 0.27685 0.673636
0 24.547 0.0042 0.305429 0.681811
1 19.56 0.02183 0.460139 0.720908
1 19.979 0.02659 0.498133 0.729067
1 20.338 0.04882 0.513237 0.731444
1 21.718 0.02431 0.487407 0.727313
1 20.264 0.02599 0.489345 0.730387
1 18.57 0.03361 0.543299 0.733232
1 25.742 0.00442 0.495954 0.762959
1 24.178 0.00623 0.509127 0.789532
1 25.438 0.00479 0.437031 0.815908
1 25.197 0.00472 0.463514 0.807217
1 23.37 0.00905 0.489538 0.789977
1 25.82 0.0042 0.429484 0.81634
1 21.875 0.01062 0.644954 0.779612
1 19.2 0.0222 0.594387 0.790117
1 19.055 0.01823 0.544805 0.770466
1 19.659 0.01825 0.576084 0.778747
1 20.536 0.01237 0.55461 0.787896
1 22.244 0.00882 0.576644 0.772416
1 13.893 0.0547 0.556494 0.729586
1 16.176 0.02782 0.583574 0.727747
1 15.924 0.03151 0.598714 0.712199
1 13.922 0.04824 0.602874 0.740837
1 14.739 0.04214 0.599371 0.743937
1 11.866 0.07223 0.590951 0.745526
1 11.744 0.08725 0.65341 0.733165
1 19.664 0.01658 0.501037 0.71436
1 18.78 0.01914 0.454444 0.734504
1 20.969 0.01211 0.447456 0.69779
1 22.219 0.0085 0.50238 0.71217
1 21.693 0.01018 0.447285 0.705658
1 22.663 0.00852 0.366329 0.693429
1 15.338 0.08151 0.629574 0.714485
1 15.433 0.10323 0.57101 0.690892
1 12.435 0.16744 0.638545 0.674953
1 8.867 0.31482 0.671299 0.656846
1 15.06 0.11843 0.639808 0.643327
1 10.489 0.2593 0.596362 0.641418
1 26.759 0.00495 0.296888 0.722356
1 28.409 0.00243 0.263654 0.691483
1 27.421 0.00578 0.365488 0.719974
1 29.746 0.00233 0.334171 0.67793
1 26.833 0.00659 0.393563 0.700246
1 29.928 0.00238 0.311369 0.676066
1 21.934 0.00947 0.497554 0.740539
1 23.239 0.00704 0.436084 0.727863
1 22.407 0.0083 0.338097 0.712466
1 21.305 0.01316 0.498877 0.722085
1 23.671 0.0062 0.441097 0.722254
1 21.864 0.01048 0.331508 0.715121
1 23.693 0.06051 0.407701 0.662668
1 26.356 0.01554 0.450798 0.653823
1 25.69 0.01802 0.486738 0.676023
1 25.02 0.00856 0.470422 0.655239
1 24.581 0.00681 0.462516 0.58271
1 24.743 0.0235 0.487756 0.68413
1 27.166 0.01161 0.400088 0.656182
1 18.305 0.01968 0.538016 0.74148
1 18.784 0.01813 0.589956 0.732903
1 19.196 0.0202 0.618663 0.728421
1 18.857 0.01874 0.637518 0.735546
1 18.178 0.01794 0.623209 0.738245
1 18.33 0.01796 0.585169 0.736964
1 26.842 0.01724 0.457541 0.699787
1 26.369 0.00487 0.491345 0.718839
1 23.949 0.0161 0.46716 0.724045
1 26.017 0.01015 0.468621 0.735136
1 23.389 0.00903 0.470972 0.721308
1 25.619 0.00504 0.482296 0.723096
1 17.06 0.03031 0.637814 0.744064
1 17.707 0.02529 0.653427 0.706687
1 19.013 0.02278 0.6479 0.708144
1 16.747 0.0369 0.625362 0.708617
1 17.366 0.02629 0.640945 0.701404
1 18.801 0.01827 0.624811 0.696049
1 18.54 0.02485 0.677131 0.685057
1 15.648 0.04238 0.606344 0.665945
1 18.702 0.01728 0.606273 0.661735
1 18.687 0.0201 0.536102 0.632631
1 20.68 0.01049 0.49748 0.630409
1 20.366 0.01493 0.566849 0.574282
1 12.359 0.0753 0.56161 0.793509
1 14.367 0.06057 0.478024 0.768974
1 12.298 0.08069 0.55287 0.764036
1 14.989 0.07889 0.427627 0.775708
1 12.529 0.10952 0.507826 0.762726
1 8.441 0.21713 0.625866 0.76832
1 9.449 0.16265 0.584164 0.754449
1 21.52 0.04179 0.566867 0.670475
1 21.824 0.04611 0.65168 0.659333
1 22.431 0.02631 0.6283 0.652025
1 22.953 0.03191 0.611679 0.623731
1 19.075 0.10748 0.630547 0.646786
1 21.534 0.03828 0.635015 0.627337
1 19.651 0.02663 0.654945 0.675865
1 20.437 0.02073 0.653139 0.694571
1 19.388 0.0281 0.577802 0.684373
1 18.954 0.02707 0.685151 0.719576
1 21.219 0.01435 0.557045 0.673086
1 18.447 0.03882 0.671378 0.674562
0 24.078 0.0062 0.469928 0.628232
0 24.679 0.00533 0.384868 0.62671
0 21.083 0.0091 0.440988 0.628058
0 19.269 0.01337 0.372222 0.725216
0 21.02 0.00965 0.371837 0.646167
0 21.528 0.01049 0.522812 0.646818
0 26.436 0.00435 0.413295 0.7567
0 26.55 0.0043 0.36909 0.776158
0 26.547 0.00478 0.380253 0.7667
0 25.445 0.0059 0.387482 0.756482
0 26.005 0.00401 0.405991 0.761255
0 26.143 0.00415 0.361232 0.763242
1 24.151 0.0057 0.39661 0.745957
1 24.412 0.00488 0.402591 0.762508
1 23.683 0.0054 0.398499 0.778349
1 23.133 0.00611 0.352396 0.75932
1 22.866 0.00639 0.408598 0.768845
1 23.008 0.00595 0.329577 0.75718
0 23.079 0.00955 0.603515 0.669565
0 22.085 0.01179 0.663842 0.656516
0 24.199 0.00737 0.598515 0.654331
0 23.958 0.01397 0.566424 0.667654
0 25.023 0.0068 0.528485 0.663884
0 24.775 0.00703 0.555303 0.659132
0 19.368 0.04441 0.508479 0.683761
0 19.517 0.02764 0.448439 0.657899
0 19.147 0.0181 0.431674 0.683244
0 17.883 0.10715 0.407567 0.655683
0 19.02 0.07223 0.451221 0.643956
0 21.209 0.04398 0.462803 0.664357





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time6 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 6 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=231290&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]6 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=231290&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231290&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 time6 seconds
R Server'George Udny Yule' @ yule.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.







Correlations for all pairs of data series (method=pearson)
statusHNRNHRRPDEDFA
status1-0.3620.1890.3090.232
HNR-0.3621-0.714-0.599-0.009
NHR0.189-0.71410.371-0.132
RPDE0.309-0.5990.3711-0.111
DFA0.232-0.009-0.132-0.1111

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & status & HNR & NHR & RPDE & DFA \tabularnewline
status & 1 & -0.362 & 0.189 & 0.309 & 0.232 \tabularnewline
HNR & -0.362 & 1 & -0.714 & -0.599 & -0.009 \tabularnewline
NHR & 0.189 & -0.714 & 1 & 0.371 & -0.132 \tabularnewline
RPDE & 0.309 & -0.599 & 0.371 & 1 & -0.111 \tabularnewline
DFA & 0.232 & -0.009 & -0.132 & -0.111 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231290&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]status[/C][C]HNR[/C][C]NHR[/C][C]RPDE[/C][C]DFA[/C][/ROW]
[ROW][C]status[/C][C]1[/C][C]-0.362[/C][C]0.189[/C][C]0.309[/C][C]0.232[/C][/ROW]
[ROW][C]HNR[/C][C]-0.362[/C][C]1[/C][C]-0.714[/C][C]-0.599[/C][C]-0.009[/C][/ROW]
[ROW][C]NHR[/C][C]0.189[/C][C]-0.714[/C][C]1[/C][C]0.371[/C][C]-0.132[/C][/ROW]
[ROW][C]RPDE[/C][C]0.309[/C][C]-0.599[/C][C]0.371[/C][C]1[/C][C]-0.111[/C][/ROW]
[ROW][C]DFA[/C][C]0.232[/C][C]-0.009[/C][C]-0.132[/C][C]-0.111[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231290&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231290&T=1

As an alternative you can also use a QR Code:  

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

Correlations for all pairs of data series (method=pearson)
statusHNRNHRRPDEDFA
status1-0.3620.1890.3090.232
HNR-0.3621-0.714-0.599-0.009
NHR0.189-0.71410.371-0.132
RPDE0.309-0.5990.3711-0.111
DFA0.232-0.009-0.132-0.1111







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
status;HNR-0.3615-0.3551-0.2907
p-value(0)(0)(0)
status;NHR0.18940.40760.3338
p-value(0.008)(0)(0)
status;RPDE0.30860.30920.2531
p-value(0)(0)(0)
status;DFA0.23170.22350.183
p-value(0.0011)(0.0017)(0.0018)
HNR;NHR-0.7141-0.866-0.7039
p-value(0)(0)(0)
HNR;RPDE-0.5987-0.6216-0.4372
p-value(0)(0)(0)
HNR;DFA-0.00870.0096-0.0034
p-value(0.9043)(0.8941)(0.9431)
NHR;RPDE0.37090.61890.439
p-value(0)(0)(0)
NHR;DFA-0.1319-0.1755-0.1063
p-value(0.0661)(0.0141)(0.0273)
RPDE;DFA-0.1109-0.1289-0.0802
p-value(0.1226)(0.0726)(0.0959)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
status;HNR & -0.3615 & -0.3551 & -0.2907 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
status;NHR & 0.1894 & 0.4076 & 0.3338 \tabularnewline
p-value & (0.008) & (0) & (0) \tabularnewline
status;RPDE & 0.3086 & 0.3092 & 0.2531 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
status;DFA & 0.2317 & 0.2235 & 0.183 \tabularnewline
p-value & (0.0011) & (0.0017) & (0.0018) \tabularnewline
HNR;NHR & -0.7141 & -0.866 & -0.7039 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
HNR;RPDE & -0.5987 & -0.6216 & -0.4372 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
HNR;DFA & -0.0087 & 0.0096 & -0.0034 \tabularnewline
p-value & (0.9043) & (0.8941) & (0.9431) \tabularnewline
NHR;RPDE & 0.3709 & 0.6189 & 0.439 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
NHR;DFA & -0.1319 & -0.1755 & -0.1063 \tabularnewline
p-value & (0.0661) & (0.0141) & (0.0273) \tabularnewline
RPDE;DFA & -0.1109 & -0.1289 & -0.0802 \tabularnewline
p-value & (0.1226) & (0.0726) & (0.0959) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231290&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]status;HNR[/C][C]-0.3615[/C][C]-0.3551[/C][C]-0.2907[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]status;NHR[/C][C]0.1894[/C][C]0.4076[/C][C]0.3338[/C][/ROW]
[ROW][C]p-value[/C][C](0.008)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]status;RPDE[/C][C]0.3086[/C][C]0.3092[/C][C]0.2531[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]status;DFA[/C][C]0.2317[/C][C]0.2235[/C][C]0.183[/C][/ROW]
[ROW][C]p-value[/C][C](0.0011)[/C][C](0.0017)[/C][C](0.0018)[/C][/ROW]
[ROW][C]HNR;NHR[/C][C]-0.7141[/C][C]-0.866[/C][C]-0.7039[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]HNR;RPDE[/C][C]-0.5987[/C][C]-0.6216[/C][C]-0.4372[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]HNR;DFA[/C][C]-0.0087[/C][C]0.0096[/C][C]-0.0034[/C][/ROW]
[ROW][C]p-value[/C][C](0.9043)[/C][C](0.8941)[/C][C](0.9431)[/C][/ROW]
[ROW][C]NHR;RPDE[/C][C]0.3709[/C][C]0.6189[/C][C]0.439[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]NHR;DFA[/C][C]-0.1319[/C][C]-0.1755[/C][C]-0.1063[/C][/ROW]
[ROW][C]p-value[/C][C](0.0661)[/C][C](0.0141)[/C][C](0.0273)[/C][/ROW]
[ROW][C]RPDE;DFA[/C][C]-0.1109[/C][C]-0.1289[/C][C]-0.0802[/C][/ROW]
[ROW][C]p-value[/C][C](0.1226)[/C][C](0.0726)[/C][C](0.0959)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231290&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231290&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
status;HNR-0.3615-0.3551-0.2907
p-value(0)(0)(0)
status;NHR0.18940.40760.3338
p-value(0.008)(0)(0)
status;RPDE0.30860.30920.2531
p-value(0)(0)(0)
status;DFA0.23170.22350.183
p-value(0.0011)(0.0017)(0.0018)
HNR;NHR-0.7141-0.866-0.7039
p-value(0)(0)(0)
HNR;RPDE-0.5987-0.6216-0.4372
p-value(0)(0)(0)
HNR;DFA-0.00870.0096-0.0034
p-value(0.9043)(0.8941)(0.9431)
NHR;RPDE0.37090.61890.439
p-value(0)(0)(0)
NHR;DFA-0.1319-0.1755-0.1063
p-value(0.0661)(0.0141)(0.0273)
RPDE;DFA-0.1109-0.1289-0.0802
p-value(0.1226)(0.0726)(0.0959)







Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I errorPearson rSpearman rhoKendall tau
0.010.70.70.7
0.020.70.80.7
0.030.70.80.8
0.040.70.80.8
0.050.70.80.8
0.060.70.80.8
0.070.80.80.8
0.080.80.90.8
0.090.80.90.8
0.10.80.90.9

\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 & 0.7 & 0.7 & 0.7 \tabularnewline
0.02 & 0.7 & 0.8 & 0.7 \tabularnewline
0.03 & 0.7 & 0.8 & 0.8 \tabularnewline
0.04 & 0.7 & 0.8 & 0.8 \tabularnewline
0.05 & 0.7 & 0.8 & 0.8 \tabularnewline
0.06 & 0.7 & 0.8 & 0.8 \tabularnewline
0.07 & 0.8 & 0.8 & 0.8 \tabularnewline
0.08 & 0.8 & 0.9 & 0.8 \tabularnewline
0.09 & 0.8 & 0.9 & 0.8 \tabularnewline
0.1 & 0.8 & 0.9 & 0.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231290&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]0.7[/C][C]0.7[/C][C]0.7[/C][/ROW]
[ROW][C]0.02[/C][C]0.7[/C][C]0.8[/C][C]0.7[/C][/ROW]
[ROW][C]0.03[/C][C]0.7[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.04[/C][C]0.7[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.05[/C][C]0.7[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.06[/C][C]0.7[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.07[/C][C]0.8[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.08[/C][C]0.8[/C][C]0.9[/C][C]0.8[/C][/ROW]
[ROW][C]0.09[/C][C]0.8[/C][C]0.9[/C][C]0.8[/C][/ROW]
[ROW][C]0.1[/C][C]0.8[/C][C]0.9[/C][C]0.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231290&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231290&T=3

As an alternative you can also use a 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
0.010.70.70.7
0.020.70.80.7
0.030.70.80.8
0.040.70.80.8
0.050.70.80.8
0.060.70.80.8
0.070.80.80.8
0.080.80.90.8
0.090.80.90.8
0.10.80.90.9



Parameters (Session):
par1 = pearson ;
Parameters (R input):
par1 = pearson ;
R code (references can be found in the software module):
panel.tau <- function(x, y, digits=2, prefix='', cex.cor)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(0, 1, 0, 1))
rr <- cor.test(x, y, method=par1)
r <- round(rr$p.value,2)
txt <- format(c(r, 0.123456789), digits=digits)[1]
txt <- paste(prefix, txt, sep='')
if(missing(cex.cor)) cex <- 0.5/strwidth(txt)
text(0.5, 0.5, txt, cex = cex)
}
panel.hist <- function(x, ...)
{
usr <- par('usr'); on.exit(par(usr))
par(usr = c(usr[1:2], 0, 1.5) )
h <- hist(x, plot = FALSE)
breaks <- h$breaks; nB <- length(breaks)
y <- h$counts; y <- y/max(y)
rect(breaks[-nB], 0, breaks[-1], y, col='grey', ...)
}
bitmap(file='test1.png')
pairs(t(y),diag.panel=panel.hist, upper.panel=panel.smooth, lower.panel=panel.tau, main=main)
dev.off()
load(file='createtable')
n <- length(y[,1])
n
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Correlations for all pairs of data series (method=',par1,')',sep=''),n+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ',header=TRUE)
for (i in 1:n) {
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],header=TRUE)
for (j in 1:n) {
r <- cor.test(y[i,],y[j,],method=par1)
a<-table.element(a,round(r$estimate,3))
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
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')