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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 computationTue, 10 Dec 2013 07:20:55 -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/10/t1386678108wwlekyr91fpzf6k.htm/, Retrieved Thu, 28 Mar 2024 12:00:46 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231885, Retrieved Thu, 28 Mar 2024 12:00:46 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61
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]
- RMPD    [Kendall tau Correlation Matrix] [WS10] [2013-12-10 12:20:55] [17f32cc89c421ada4d39615f3f325443] [Current]
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Dataseries X:
1 119.992 157.302 74.997 0.00784 0.00007 0.0037 0.00554
1 122.4 148.65 113.819 0.00968 0.00008 0.00465 0.00696
1 116.682 131.111 111.555 0.0105 0.00009 0.00544 0.00781
1 116.676 137.871 111.366 0.00997 0.00009 0.00502 0.00698
1 116.014 141.781 110.655 0.01284 0.00011 0.00655 0.00908
1 120.552 131.162 113.787 0.00968 0.00008 0.00463 0.0075
1 120.267 137.244 114.82 0.00333 0.00003 0.00155 0.00202
1 107.332 113.84 104.315 0.0029 0.00003 0.00144 0.00182
1 95.73 132.068 91.754 0.00551 0.00006 0.00293 0.00332
1 95.056 120.103 91.226 0.00532 0.00006 0.00268 0.00332
1 88.333 112.24 84.072 0.00505 0.00006 0.00254 0.0033
1 91.904 115.871 86.292 0.0054 0.00006 0.00281 0.00336
1 136.926 159.866 131.276 0.00293 0.00002 0.00118 0.00153
1 139.173 179.139 76.556 0.0039 0.00003 0.00165 0.00208
1 152.845 163.305 75.836 0.00294 0.00002 0.00121 0.00149
1 142.167 217.455 83.159 0.00369 0.00003 0.00157 0.00203
1 144.188 349.259 82.764 0.00544 0.00004 0.00211 0.00292
1 168.778 232.181 75.603 0.00718 0.00004 0.00284 0.00387
1 153.046 175.829 68.623 0.00742 0.00005 0.00364 0.00432
1 156.405 189.398 142.822 0.00768 0.00005 0.00372 0.00399
1 153.848 165.738 65.782 0.0084 0.00005 0.00428 0.0045
1 153.88 172.86 78.128 0.0048 0.00003 0.00232 0.00267
1 167.93 193.221 79.068 0.00442 0.00003 0.0022 0.00247
1 173.917 192.735 86.18 0.00476 0.00003 0.00221 0.00258
1 163.656 200.841 76.779 0.00742 0.00005 0.0038 0.0039
1 104.4 206.002 77.968 0.00633 0.00006 0.00316 0.00375
1 171.041 208.313 75.501 0.00455 0.00003 0.0025 0.00234
1 146.845 208.701 81.737 0.00496 0.00003 0.0025 0.00275
1 155.358 227.383 80.055 0.0031 0.00002 0.00159 0.00176
1 162.568 198.346 77.63 0.00502 0.00003 0.0028 0.00253
0 197.076 206.896 192.055 0.00289 0.00001 0.00166 0.00168
0 199.228 209.512 192.091 0.00241 0.00001 0.00134 0.00138
0 198.383 215.203 193.104 0.00212 0.00001 0.00113 0.00135
0 202.266 211.604 197.079 0.0018 0.000009 0.00093 0.00107
0 203.184 211.526 196.16 0.00178 0.000009 0.00094 0.00106
0 201.464 210.565 195.708 0.00198 0.00001 0.00105 0.00115
1 177.876 192.921 168.013 0.00411 0.00002 0.00233 0.00241
1 176.17 185.604 163.564 0.00369 0.00002 0.00205 0.00218
1 180.198 201.249 175.456 0.00284 0.00002 0.00153 0.00166
1 187.733 202.324 173.015 0.00316 0.00002 0.00168 0.00182
1 186.163 197.724 177.584 0.00298 0.00002 0.00165 0.00175
1 184.055 196.537 166.977 0.00258 0.00001 0.00134 0.00147
0 237.226 247.326 225.227 0.00298 0.00001 0.00169 0.00182
0 241.404 248.834 232.483 0.00281 0.00001 0.00157 0.00173
0 243.439 250.912 232.435 0.0021 0.000009 0.00109 0.00137
0 242.852 255.034 227.911 0.00225 0.000009 0.00117 0.00139
0 245.51 262.09 231.848 0.00235 0.00001 0.00127 0.00148
0 252.455 261.487 182.786 0.00185 0.000007 0.00092 0.00113
0 122.188 128.611 115.765 0.00524 0.00004 0.00169 0.00203
0 122.964 130.049 114.676 0.00428 0.00003 0.00124 0.00155
0 124.445 135.069 117.495 0.00431 0.00003 0.00141 0.00167
0 126.344 134.231 112.773 0.00448 0.00004 0.00131 0.00169
0 128.001 138.052 122.08 0.00436 0.00003 0.00137 0.00166
0 129.336 139.867 118.604 0.0049 0.00004 0.00165 0.00183
1 108.807 134.656 102.874 0.00761 0.00007 0.00349 0.00486
1 109.86 126.358 104.437 0.00874 0.00008 0.00398 0.00539
1 110.417 131.067 103.37 0.00784 0.00007 0.00352 0.00514
1 117.274 129.916 110.402 0.00752 0.00006 0.00299 0.00469
1 116.879 131.897 108.153 0.00788 0.00007 0.00334 0.00493
1 114.847 271.314 104.68 0.00867 0.00008 0.00373 0.0052
0 209.144 237.494 109.379 0.00282 0.00001 0.00147 0.00152
0 223.365 238.987 98.664 0.00264 0.00001 0.00154 0.00151
0 222.236 231.345 205.495 0.00266 0.00001 0.00152 0.00144
0 228.832 234.619 223.634 0.00296 0.00001 0.00175 0.00155
0 229.401 252.221 221.156 0.00205 0.000009 0.00114 0.00113
0 228.969 239.541 113.201 0.00238 0.00001 0.00136 0.0014
1 140.341 159.774 67.021 0.00817 0.00006 0.0043 0.0044
1 136.969 166.607 66.004 0.00923 0.00007 0.00507 0.00463
1 143.533 162.215 65.809 0.01101 0.00008 0.00647 0.00467
1 148.09 162.824 67.343 0.00762 0.00005 0.00467 0.00354
1 142.729 162.408 65.476 0.00831 0.00006 0.00469 0.00419
1 136.358 176.595 65.75 0.00971 0.00007 0.00534 0.00478
1 120.08 139.71 111.208 0.00405 0.00003 0.0018 0.0022
1 112.014 588.518 107.024 0.00533 0.00005 0.00268 0.00329
1 110.793 128.101 107.316 0.00494 0.00004 0.0026 0.00283
1 110.707 122.611 105.007 0.00516 0.00005 0.00277 0.00289
1 112.876 148.826 106.981 0.005 0.00004 0.0027 0.00289
1 110.568 125.394 106.821 0.00462 0.00004 0.00226 0.0028
1 95.385 102.145 90.264 0.00608 0.00006 0.00331 0.00332
1 100.77 115.697 85.545 0.01038 0.0001 0.00622 0.00576
1 96.106 108.664 84.51 0.00694 0.00007 0.00389 0.00415
1 95.605 107.715 87.549 0.00702 0.00007 0.00428 0.00371
1 100.96 110.019 95.628 0.00606 0.00006 0.00351 0.00348
1 98.804 102.305 87.804 0.00432 0.00004 0.00247 0.00258
1 176.858 205.56 75.344 0.00747 0.00004 0.00418 0.0042
1 180.978 200.125 155.495 0.00406 0.00002 0.0022 0.00244
1 178.222 202.45 141.047 0.00321 0.00002 0.00163 0.00194
1 176.281 227.381 125.61 0.0052 0.00003 0.00287 0.00312
1 173.898 211.35 74.677 0.00448 0.00003 0.00237 0.00254
1 179.711 225.93 144.878 0.00709 0.00004 0.00391 0.00419
1 166.605 206.008 78.032 0.00742 0.00004 0.00387 0.00453
1 151.955 163.335 147.226 0.00419 0.00003 0.00224 0.00227
1 148.272 164.989 142.299 0.00459 0.00003 0.0025 0.00256
1 152.125 161.469 76.596 0.00382 0.00003 0.00191 0.00226
1 157.821 172.975 68.401 0.00358 0.00002 0.00196 0.00196
1 157.447 163.267 149.605 0.00369 0.00002 0.00201 0.00197
1 159.116 168.913 144.811 0.00342 0.00002 0.00178 0.00184
1 125.036 143.946 116.187 0.0128 0.0001 0.00743 0.00623
1 125.791 140.557 96.206 0.01378 0.00011 0.00826 0.00655
1 126.512 141.756 99.77 0.01936 0.00015 0.01159 0.0099
1 125.641 141.068 116.346 0.03316 0.00026 0.02144 0.01522
1 128.451 150.449 75.632 0.01551 0.00012 0.00905 0.00909
1 139.224 586.567 66.157 0.03011 0.00022 0.01854 0.01628
1 150.258 154.609 75.349 0.00248 0.00002 0.00105 0.00136
1 154.003 160.267 128.621 0.00183 0.00001 0.00076 0.001
1 149.689 160.368 133.608 0.00257 0.00002 0.00116 0.00134
1 155.078 163.736 144.148 0.00168 0.00001 0.00068 0.00092
1 151.884 157.765 133.751 0.00258 0.00002 0.00115 0.00122
1 151.989 157.339 132.857 0.00174 0.00001 0.00075 0.00096
1 193.03 208.9 80.297 0.00766 0.00004 0.0045 0.00389
1 200.714 223.982 89.686 0.00621 0.00003 0.00371 0.00337
1 208.519 220.315 199.02 0.00609 0.00003 0.00368 0.00339
1 204.664 221.3 189.621 0.00841 0.00004 0.00502 0.00485
1 210.141 232.706 185.258 0.00534 0.00003 0.00321 0.0028
1 206.327 226.355 92.02 0.00495 0.00002 0.00302 0.00246
1 151.872 492.892 69.085 0.00856 0.00006 0.00404 0.00385
1 158.219 442.557 71.948 0.00476 0.00003 0.00214 0.00207
1 170.756 450.247 79.032 0.00555 0.00003 0.00244 0.00261
1 178.285 442.824 82.063 0.00462 0.00003 0.00157 0.00194
1 217.116 233.481 93.978 0.00404 0.00002 0.00127 0.00128
1 128.94 479.697 88.251 0.00581 0.00005 0.00241 0.00314
1 176.824 215.293 83.961 0.0046 0.00003 0.00209 0.00221
1 138.19 203.522 83.34 0.00704 0.00005 0.00406 0.00398
1 182.018 197.173 79.187 0.00842 0.00005 0.00506 0.00449
1 156.239 195.107 79.82 0.00694 0.00004 0.00403 0.00395
1 145.174 198.109 80.637 0.00733 0.00005 0.00414 0.00422
1 138.145 197.238 81.114 0.00544 0.00004 0.00294 0.00327
1 166.888 198.966 79.512 0.00638 0.00004 0.00368 0.00351
1 119.031 127.533 109.216 0.0044 0.00004 0.00214 0.00192
1 120.078 126.632 105.667 0.0027 0.00002 0.00116 0.00135
1 120.289 128.143 100.209 0.00492 0.00004 0.00269 0.00238
1 120.256 125.306 104.773 0.00407 0.00003 0.00224 0.00205
1 119.056 125.213 86.795 0.00346 0.00003 0.00169 0.0017
1 118.747 123.723 109.836 0.00331 0.00003 0.00168 0.00171
1 106.516 112.777 93.105 0.00589 0.00006 0.00291 0.00319
1 110.453 127.611 105.554 0.00494 0.00004 0.00244 0.00315
1 113.4 133.344 107.816 0.00451 0.00004 0.00219 0.00283
1 113.166 130.27 100.673 0.00502 0.00004 0.00257 0.00312
1 112.239 126.609 104.095 0.00472 0.00004 0.00238 0.0029
1 116.15 131.731 109.815 0.00381 0.00003 0.00181 0.00232
1 170.368 268.796 79.543 0.00571 0.00003 0.00232 0.00269
1 208.083 253.792 91.802 0.00757 0.00004 0.00428 0.00428
1 198.458 219.29 148.691 0.00376 0.00002 0.00182 0.00215
1 202.805 231.508 86.232 0.0037 0.00002 0.00189 0.00211
1 202.544 241.35 164.168 0.00254 0.00001 0.001 0.00133
1 223.361 263.872 87.638 0.00352 0.00002 0.00169 0.00188
1 169.774 191.759 151.451 0.01568 0.00009 0.00863 0.00946
1 183.52 216.814 161.34 0.01466 0.00008 0.00849 0.00819
1 188.62 216.302 165.982 0.01719 0.00009 0.00996 0.01027
1 202.632 565.74 177.258 0.01627 0.00008 0.00919 0.00963
1 186.695 211.961 149.442 0.01872 0.0001 0.01075 0.01154
1 192.818 224.429 168.793 0.03107 0.00016 0.018 0.01958
1 198.116 233.099 174.478 0.02714 0.00014 0.01568 0.01699
1 121.345 139.644 98.25 0.00684 0.00006 0.00388 0.00332
1 119.1 128.442 88.833 0.00692 0.00006 0.00393 0.003
1 117.87 127.349 95.654 0.00647 0.00005 0.00356 0.003
1 122.336 142.369 94.794 0.00727 0.00006 0.00415 0.00339
1 117.963 134.209 100.757 0.01813 0.00015 0.01117 0.00718
1 126.144 154.284 97.543 0.00975 0.00008 0.00593 0.00454
1 127.93 138.752 112.173 0.00605 0.00005 0.00321 0.00318
1 114.238 124.393 77.022 0.00581 0.00005 0.00299 0.00316
1 115.322 135.738 107.802 0.00619 0.00005 0.00352 0.00329
1 114.554 126.778 91.121 0.00651 0.00006 0.00366 0.0034
1 112.15 131.669 97.527 0.00519 0.00005 0.00291 0.00284
1 102.273 142.83 85.902 0.00907 0.00009 0.00493 0.00461
0 236.2 244.663 102.137 0.00277 0.00001 0.00154 0.00153
0 237.323 243.709 229.256 0.00303 0.00001 0.00173 0.00159
0 260.105 264.919 237.303 0.00339 0.00001 0.00205 0.00186
0 197.569 217.627 90.794 0.00803 0.00004 0.0049 0.00448
0 240.301 245.135 219.783 0.00517 0.00002 0.00316 0.00283
0 244.99 272.21 239.17 0.00451 0.00002 0.00279 0.00237
0 112.547 133.374 105.715 0.00355 0.00003 0.00166 0.0019
0 110.739 113.597 100.139 0.00356 0.00003 0.0017 0.002
0 113.715 116.443 96.913 0.00349 0.00003 0.00171 0.00203
0 117.004 144.466 99.923 0.00353 0.00003 0.00176 0.00218
0 115.38 123.109 108.634 0.00332 0.00003 0.0016 0.00199
0 116.388 129.038 108.97 0.00346 0.00003 0.00169 0.00213
1 151.737 190.204 129.859 0.00314 0.00002 0.00135 0.00162
1 148.79 158.359 138.99 0.00309 0.00002 0.00152 0.00186
1 148.143 155.982 135.041 0.00392 0.00003 0.00204 0.00231
1 150.44 163.441 144.736 0.00396 0.00003 0.00206 0.00233
1 148.462 161.078 141.998 0.00397 0.00003 0.00202 0.00235
1 149.818 163.417 144.786 0.00336 0.00002 0.00174 0.00198
0 117.226 123.925 106.656 0.00417 0.00004 0.00186 0.0027
0 116.848 217.552 99.503 0.00531 0.00005 0.0026 0.00346
0 116.286 177.291 96.983 0.00314 0.00003 0.00134 0.00192
0 116.556 592.03 86.228 0.00496 0.00004 0.00254 0.00263
0 116.342 581.289 94.246 0.00267 0.00002 0.00115 0.00148
0 114.563 119.167 86.647 0.00327 0.00003 0.00146 0.00184
0 201.774 262.707 78.228 0.00694 0.00003 0.00412 0.00396
0 174.188 230.978 94.261 0.00459 0.00003 0.00263 0.00259
0 209.516 253.017 89.488 0.00564 0.00003 0.00331 0.00292
0 174.688 240.005 74.287 0.0136 0.00008 0.00624 0.00564
0 198.764 396.961 74.904 0.0074 0.00004 0.0037 0.0039
0 214.289 260.277 77.973 0.00567 0.00003 0.00295 0.00317




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\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 & 10 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231885&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231885&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231885&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 time10 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Correlations for all pairs of data series (method=pearson)
statusMDVP:Fo(Hz)MDVP:Fhi(Hz)MDVP:Flo(Hz)MDVP:Jitter(%)MDVP:Jitter(Abs)MDVP:RAPMDVP:PPQ
status1-0.384-0.166-0.380.2780.3390.2670.289
MDVP:Fo(Hz)-0.38410.4010.597-0.118-0.382-0.076-0.112
MDVP:Fhi(Hz)-0.1660.40110.0850.102-0.0290.0970.091
MDVP:Flo(Hz)-0.380.5970.0851-0.14-0.278-0.101-0.096
MDVP:Jitter(%)0.278-0.1180.102-0.1410.9360.990.974
MDVP:Jitter(Abs)0.339-0.382-0.029-0.2780.93610.9230.898
MDVP:RAP0.267-0.0760.097-0.1010.990.92310.957
MDVP:PPQ0.289-0.1120.091-0.0960.9740.8980.9571

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & status & MDVP:Fo(Hz) & MDVP:Fhi(Hz) & MDVP:Flo(Hz) & MDVP:Jitter(%) & MDVP:Jitter(Abs) & MDVP:RAP & MDVP:PPQ \tabularnewline
status & 1 & -0.384 & -0.166 & -0.38 & 0.278 & 0.339 & 0.267 & 0.289 \tabularnewline
MDVP:Fo(Hz) & -0.384 & 1 & 0.401 & 0.597 & -0.118 & -0.382 & -0.076 & -0.112 \tabularnewline
MDVP:Fhi(Hz) & -0.166 & 0.401 & 1 & 0.085 & 0.102 & -0.029 & 0.097 & 0.091 \tabularnewline
MDVP:Flo(Hz) & -0.38 & 0.597 & 0.085 & 1 & -0.14 & -0.278 & -0.101 & -0.096 \tabularnewline
MDVP:Jitter(%) & 0.278 & -0.118 & 0.102 & -0.14 & 1 & 0.936 & 0.99 & 0.974 \tabularnewline
MDVP:Jitter(Abs) & 0.339 & -0.382 & -0.029 & -0.278 & 0.936 & 1 & 0.923 & 0.898 \tabularnewline
MDVP:RAP & 0.267 & -0.076 & 0.097 & -0.101 & 0.99 & 0.923 & 1 & 0.957 \tabularnewline
MDVP:PPQ & 0.289 & -0.112 & 0.091 & -0.096 & 0.974 & 0.898 & 0.957 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231885&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=pearson)[/C][/ROW]
[ROW][C] [/C][C]status[/C][C]MDVP:Fo(Hz)[/C][C]MDVP:Fhi(Hz)[/C][C]MDVP:Flo(Hz)[/C][C]MDVP:Jitter(%)[/C][C]MDVP:Jitter(Abs)[/C][C]MDVP:RAP[/C][C]MDVP:PPQ[/C][/ROW]
[ROW][C]status[/C][C]1[/C][C]-0.384[/C][C]-0.166[/C][C]-0.38[/C][C]0.278[/C][C]0.339[/C][C]0.267[/C][C]0.289[/C][/ROW]
[ROW][C]MDVP:Fo(Hz)[/C][C]-0.384[/C][C]1[/C][C]0.401[/C][C]0.597[/C][C]-0.118[/C][C]-0.382[/C][C]-0.076[/C][C]-0.112[/C][/ROW]
[ROW][C]MDVP:Fhi(Hz)[/C][C]-0.166[/C][C]0.401[/C][C]1[/C][C]0.085[/C][C]0.102[/C][C]-0.029[/C][C]0.097[/C][C]0.091[/C][/ROW]
[ROW][C]MDVP:Flo(Hz)[/C][C]-0.38[/C][C]0.597[/C][C]0.085[/C][C]1[/C][C]-0.14[/C][C]-0.278[/C][C]-0.101[/C][C]-0.096[/C][/ROW]
[ROW][C]MDVP:Jitter(%)[/C][C]0.278[/C][C]-0.118[/C][C]0.102[/C][C]-0.14[/C][C]1[/C][C]0.936[/C][C]0.99[/C][C]0.974[/C][/ROW]
[ROW][C]MDVP:Jitter(Abs)[/C][C]0.339[/C][C]-0.382[/C][C]-0.029[/C][C]-0.278[/C][C]0.936[/C][C]1[/C][C]0.923[/C][C]0.898[/C][/ROW]
[ROW][C]MDVP:RAP[/C][C]0.267[/C][C]-0.076[/C][C]0.097[/C][C]-0.101[/C][C]0.99[/C][C]0.923[/C][C]1[/C][C]0.957[/C][/ROW]
[ROW][C]MDVP:PPQ[/C][C]0.289[/C][C]-0.112[/C][C]0.091[/C][C]-0.096[/C][C]0.974[/C][C]0.898[/C][C]0.957[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231885&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231885&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)
statusMDVP:Fo(Hz)MDVP:Fhi(Hz)MDVP:Flo(Hz)MDVP:Jitter(%)MDVP:Jitter(Abs)MDVP:RAPMDVP:PPQ
status1-0.384-0.166-0.380.2780.3390.2670.289
MDVP:Fo(Hz)-0.38410.4010.597-0.118-0.382-0.076-0.112
MDVP:Fhi(Hz)-0.1660.40110.0850.102-0.0290.0970.091
MDVP:Flo(Hz)-0.380.5970.0851-0.14-0.278-0.101-0.096
MDVP:Jitter(%)0.278-0.1180.102-0.1410.9360.990.974
MDVP:Jitter(Abs)0.339-0.382-0.029-0.2780.93610.9230.898
MDVP:RAP0.267-0.0760.097-0.1010.990.92310.957
MDVP:PPQ0.289-0.1120.091-0.0960.9740.8980.9571







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
status;MDVP:Fo(Hz)-0.3835-0.2995-0.2451
p-value(0)(0)(0)
status;MDVP:Fhi(Hz)-0.1661-0.261-0.2136
p-value(0.0203)(2e-04)(3e-04)
status;MDVP:Flo(Hz)-0.3802-0.2944-0.241
p-value(0)(0)(0)
status;MDVP:Jitter(%)0.27820.41440.3395
p-value(1e-04)(0)(0)
status;MDVP:Jitter(Abs)0.33870.43590.3769
p-value(0)(0)(0)
status;MDVP:RAP0.26670.41330.3387
p-value(2e-04)(0)(0)
status;MDVP:PPQ0.28870.42860.3512
p-value(0)(0)(0)
MDVP:Fo(Hz);MDVP:Fhi(Hz)0.4010.79560.6603
p-value(0)(0)(0)
MDVP:Fo(Hz);MDVP:Flo(Hz)0.59650.32360.2695
p-value(0)(0)(0)
MDVP:Fo(Hz);MDVP:Jitter(%)-0.118-0.2697-0.1821
p-value(0.1004)(1e-04)(2e-04)
MDVP:Fo(Hz);MDVP:Jitter(Abs)-0.382-0.5664-0.4232
p-value(0)(0)(0)
MDVP:Fo(Hz);MDVP:RAP-0.0762-0.1969-0.133
p-value(0.2897)(0.0058)(0.0058)
MDVP:Fo(Hz);MDVP:PPQ-0.1122-0.2982-0.2032
p-value(0.1185)(0)(0)
MDVP:Fhi(Hz);MDVP:Flo(Hz)0.0850.09560.1234
p-value(0.2377)(0.1835)(0.0104)
MDVP:Fhi(Hz);MDVP:Jitter(%)0.1021-0.0978-0.0659
p-value(0.1556)(0.1736)(0.1715)
MDVP:Fhi(Hz);MDVP:Jitter(Abs)-0.0292-0.3633-0.2605
p-value(0.6853)(0)(0)
MDVP:Fhi(Hz);MDVP:RAP0.0972-0.0702-0.0428
p-value(0.1765)(0.3298)(0.3752)
MDVP:Fhi(Hz);MDVP:PPQ0.0911-0.1178-0.0795
p-value(0.2052)(0.1009)(0.099)
MDVP:Flo(Hz);MDVP:Jitter(%)-0.1399-0.4067-0.2922
p-value(0.0511)(0)(0)
MDVP:Flo(Hz);MDVP:Jitter(Abs)-0.2778-0.4079-0.2952
p-value(1e-04)(0)(0)
MDVP:Flo(Hz);MDVP:RAP-0.1005-0.3619-0.2543
p-value(0.1621)(0)(0)
MDVP:Flo(Hz);MDVP:PPQ-0.0958-0.3751-0.2607
p-value(0.1827)(0)(0)
MDVP:Jitter(%);MDVP:Jitter(Abs)0.93570.91940.7953
p-value(0)(0)(0)
MDVP:Jitter(%);MDVP:RAP0.99030.9620.8532
p-value(0)(0)(0)
MDVP:Jitter(%);MDVP:PPQ0.97430.97090.8715
p-value(0)(0)(0)
MDVP:Jitter(Abs);MDVP:RAP0.92290.86040.7126
p-value(0)(0)(0)
MDVP:Jitter(Abs);MDVP:PPQ0.89780.90980.777
p-value(0)(0)(0)
MDVP:RAP;MDVP:PPQ0.95730.96640.8467
p-value(0)(0)(0)

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series with p-values \tabularnewline
pair & Pearson r & Spearman rho & Kendall tau \tabularnewline
status;MDVP:Fo(Hz) & -0.3835 & -0.2995 & -0.2451 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
status;MDVP:Fhi(Hz) & -0.1661 & -0.261 & -0.2136 \tabularnewline
p-value & (0.0203) & (2e-04) & (3e-04) \tabularnewline
status;MDVP:Flo(Hz) & -0.3802 & -0.2944 & -0.241 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
status;MDVP:Jitter(%) & 0.2782 & 0.4144 & 0.3395 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
status;MDVP:Jitter(Abs) & 0.3387 & 0.4359 & 0.3769 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
status;MDVP:RAP & 0.2667 & 0.4133 & 0.3387 \tabularnewline
p-value & (2e-04) & (0) & (0) \tabularnewline
status;MDVP:PPQ & 0.2887 & 0.4286 & 0.3512 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Fo(Hz);MDVP:Fhi(Hz) & 0.401 & 0.7956 & 0.6603 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Fo(Hz);MDVP:Flo(Hz) & 0.5965 & 0.3236 & 0.2695 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Fo(Hz);MDVP:Jitter(%) & -0.118 & -0.2697 & -0.1821 \tabularnewline
p-value & (0.1004) & (1e-04) & (2e-04) \tabularnewline
MDVP:Fo(Hz);MDVP:Jitter(Abs) & -0.382 & -0.5664 & -0.4232 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Fo(Hz);MDVP:RAP & -0.0762 & -0.1969 & -0.133 \tabularnewline
p-value & (0.2897) & (0.0058) & (0.0058) \tabularnewline
MDVP:Fo(Hz);MDVP:PPQ & -0.1122 & -0.2982 & -0.2032 \tabularnewline
p-value & (0.1185) & (0) & (0) \tabularnewline
MDVP:Fhi(Hz);MDVP:Flo(Hz) & 0.085 & 0.0956 & 0.1234 \tabularnewline
p-value & (0.2377) & (0.1835) & (0.0104) \tabularnewline
MDVP:Fhi(Hz);MDVP:Jitter(%) & 0.1021 & -0.0978 & -0.0659 \tabularnewline
p-value & (0.1556) & (0.1736) & (0.1715) \tabularnewline
MDVP:Fhi(Hz);MDVP:Jitter(Abs) & -0.0292 & -0.3633 & -0.2605 \tabularnewline
p-value & (0.6853) & (0) & (0) \tabularnewline
MDVP:Fhi(Hz);MDVP:RAP & 0.0972 & -0.0702 & -0.0428 \tabularnewline
p-value & (0.1765) & (0.3298) & (0.3752) \tabularnewline
MDVP:Fhi(Hz);MDVP:PPQ & 0.0911 & -0.1178 & -0.0795 \tabularnewline
p-value & (0.2052) & (0.1009) & (0.099) \tabularnewline
MDVP:Flo(Hz);MDVP:Jitter(%) & -0.1399 & -0.4067 & -0.2922 \tabularnewline
p-value & (0.0511) & (0) & (0) \tabularnewline
MDVP:Flo(Hz);MDVP:Jitter(Abs) & -0.2778 & -0.4079 & -0.2952 \tabularnewline
p-value & (1e-04) & (0) & (0) \tabularnewline
MDVP:Flo(Hz);MDVP:RAP & -0.1005 & -0.3619 & -0.2543 \tabularnewline
p-value & (0.1621) & (0) & (0) \tabularnewline
MDVP:Flo(Hz);MDVP:PPQ & -0.0958 & -0.3751 & -0.2607 \tabularnewline
p-value & (0.1827) & (0) & (0) \tabularnewline
MDVP:Jitter(%);MDVP:Jitter(Abs) & 0.9357 & 0.9194 & 0.7953 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Jitter(%);MDVP:RAP & 0.9903 & 0.962 & 0.8532 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Jitter(%);MDVP:PPQ & 0.9743 & 0.9709 & 0.8715 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Jitter(Abs);MDVP:RAP & 0.9229 & 0.8604 & 0.7126 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Jitter(Abs);MDVP:PPQ & 0.8978 & 0.9098 & 0.777 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:RAP;MDVP:PPQ & 0.9573 & 0.9664 & 0.8467 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231885&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;MDVP:Fo(Hz)[/C][C]-0.3835[/C][C]-0.2995[/C][C]-0.2451[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]status;MDVP:Fhi(Hz)[/C][C]-0.1661[/C][C]-0.261[/C][C]-0.2136[/C][/ROW]
[ROW][C]p-value[/C][C](0.0203)[/C][C](2e-04)[/C][C](3e-04)[/C][/ROW]
[ROW][C]status;MDVP:Flo(Hz)[/C][C]-0.3802[/C][C]-0.2944[/C][C]-0.241[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]status;MDVP:Jitter(%)[/C][C]0.2782[/C][C]0.4144[/C][C]0.3395[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]status;MDVP:Jitter(Abs)[/C][C]0.3387[/C][C]0.4359[/C][C]0.3769[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]status;MDVP:RAP[/C][C]0.2667[/C][C]0.4133[/C][C]0.3387[/C][/ROW]
[ROW][C]p-value[/C][C](2e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]status;MDVP:PPQ[/C][C]0.2887[/C][C]0.4286[/C][C]0.3512[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Fo(Hz);MDVP:Fhi(Hz)[/C][C]0.401[/C][C]0.7956[/C][C]0.6603[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Fo(Hz);MDVP:Flo(Hz)[/C][C]0.5965[/C][C]0.3236[/C][C]0.2695[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Fo(Hz);MDVP:Jitter(%)[/C][C]-0.118[/C][C]-0.2697[/C][C]-0.1821[/C][/ROW]
[ROW][C]p-value[/C][C](0.1004)[/C][C](1e-04)[/C][C](2e-04)[/C][/ROW]
[ROW][C]MDVP:Fo(Hz);MDVP:Jitter(Abs)[/C][C]-0.382[/C][C]-0.5664[/C][C]-0.4232[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Fo(Hz);MDVP:RAP[/C][C]-0.0762[/C][C]-0.1969[/C][C]-0.133[/C][/ROW]
[ROW][C]p-value[/C][C](0.2897)[/C][C](0.0058)[/C][C](0.0058)[/C][/ROW]
[ROW][C]MDVP:Fo(Hz);MDVP:PPQ[/C][C]-0.1122[/C][C]-0.2982[/C][C]-0.2032[/C][/ROW]
[ROW][C]p-value[/C][C](0.1185)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Fhi(Hz);MDVP:Flo(Hz)[/C][C]0.085[/C][C]0.0956[/C][C]0.1234[/C][/ROW]
[ROW][C]p-value[/C][C](0.2377)[/C][C](0.1835)[/C][C](0.0104)[/C][/ROW]
[ROW][C]MDVP:Fhi(Hz);MDVP:Jitter(%)[/C][C]0.1021[/C][C]-0.0978[/C][C]-0.0659[/C][/ROW]
[ROW][C]p-value[/C][C](0.1556)[/C][C](0.1736)[/C][C](0.1715)[/C][/ROW]
[ROW][C]MDVP:Fhi(Hz);MDVP:Jitter(Abs)[/C][C]-0.0292[/C][C]-0.3633[/C][C]-0.2605[/C][/ROW]
[ROW][C]p-value[/C][C](0.6853)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Fhi(Hz);MDVP:RAP[/C][C]0.0972[/C][C]-0.0702[/C][C]-0.0428[/C][/ROW]
[ROW][C]p-value[/C][C](0.1765)[/C][C](0.3298)[/C][C](0.3752)[/C][/ROW]
[ROW][C]MDVP:Fhi(Hz);MDVP:PPQ[/C][C]0.0911[/C][C]-0.1178[/C][C]-0.0795[/C][/ROW]
[ROW][C]p-value[/C][C](0.2052)[/C][C](0.1009)[/C][C](0.099)[/C][/ROW]
[ROW][C]MDVP:Flo(Hz);MDVP:Jitter(%)[/C][C]-0.1399[/C][C]-0.4067[/C][C]-0.2922[/C][/ROW]
[ROW][C]p-value[/C][C](0.0511)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Flo(Hz);MDVP:Jitter(Abs)[/C][C]-0.2778[/C][C]-0.4079[/C][C]-0.2952[/C][/ROW]
[ROW][C]p-value[/C][C](1e-04)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Flo(Hz);MDVP:RAP[/C][C]-0.1005[/C][C]-0.3619[/C][C]-0.2543[/C][/ROW]
[ROW][C]p-value[/C][C](0.1621)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Flo(Hz);MDVP:PPQ[/C][C]-0.0958[/C][C]-0.3751[/C][C]-0.2607[/C][/ROW]
[ROW][C]p-value[/C][C](0.1827)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Jitter(%);MDVP:Jitter(Abs)[/C][C]0.9357[/C][C]0.9194[/C][C]0.7953[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Jitter(%);MDVP:RAP[/C][C]0.9903[/C][C]0.962[/C][C]0.8532[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Jitter(%);MDVP:PPQ[/C][C]0.9743[/C][C]0.9709[/C][C]0.8715[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Jitter(Abs);MDVP:RAP[/C][C]0.9229[/C][C]0.8604[/C][C]0.7126[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Jitter(Abs);MDVP:PPQ[/C][C]0.8978[/C][C]0.9098[/C][C]0.777[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:RAP;MDVP:PPQ[/C][C]0.9573[/C][C]0.9664[/C][C]0.8467[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231885&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231885&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;MDVP:Fo(Hz)-0.3835-0.2995-0.2451
p-value(0)(0)(0)
status;MDVP:Fhi(Hz)-0.1661-0.261-0.2136
p-value(0.0203)(2e-04)(3e-04)
status;MDVP:Flo(Hz)-0.3802-0.2944-0.241
p-value(0)(0)(0)
status;MDVP:Jitter(%)0.27820.41440.3395
p-value(1e-04)(0)(0)
status;MDVP:Jitter(Abs)0.33870.43590.3769
p-value(0)(0)(0)
status;MDVP:RAP0.26670.41330.3387
p-value(2e-04)(0)(0)
status;MDVP:PPQ0.28870.42860.3512
p-value(0)(0)(0)
MDVP:Fo(Hz);MDVP:Fhi(Hz)0.4010.79560.6603
p-value(0)(0)(0)
MDVP:Fo(Hz);MDVP:Flo(Hz)0.59650.32360.2695
p-value(0)(0)(0)
MDVP:Fo(Hz);MDVP:Jitter(%)-0.118-0.2697-0.1821
p-value(0.1004)(1e-04)(2e-04)
MDVP:Fo(Hz);MDVP:Jitter(Abs)-0.382-0.5664-0.4232
p-value(0)(0)(0)
MDVP:Fo(Hz);MDVP:RAP-0.0762-0.1969-0.133
p-value(0.2897)(0.0058)(0.0058)
MDVP:Fo(Hz);MDVP:PPQ-0.1122-0.2982-0.2032
p-value(0.1185)(0)(0)
MDVP:Fhi(Hz);MDVP:Flo(Hz)0.0850.09560.1234
p-value(0.2377)(0.1835)(0.0104)
MDVP:Fhi(Hz);MDVP:Jitter(%)0.1021-0.0978-0.0659
p-value(0.1556)(0.1736)(0.1715)
MDVP:Fhi(Hz);MDVP:Jitter(Abs)-0.0292-0.3633-0.2605
p-value(0.6853)(0)(0)
MDVP:Fhi(Hz);MDVP:RAP0.0972-0.0702-0.0428
p-value(0.1765)(0.3298)(0.3752)
MDVP:Fhi(Hz);MDVP:PPQ0.0911-0.1178-0.0795
p-value(0.2052)(0.1009)(0.099)
MDVP:Flo(Hz);MDVP:Jitter(%)-0.1399-0.4067-0.2922
p-value(0.0511)(0)(0)
MDVP:Flo(Hz);MDVP:Jitter(Abs)-0.2778-0.4079-0.2952
p-value(1e-04)(0)(0)
MDVP:Flo(Hz);MDVP:RAP-0.1005-0.3619-0.2543
p-value(0.1621)(0)(0)
MDVP:Flo(Hz);MDVP:PPQ-0.0958-0.3751-0.2607
p-value(0.1827)(0)(0)
MDVP:Jitter(%);MDVP:Jitter(Abs)0.93570.91940.7953
p-value(0)(0)(0)
MDVP:Jitter(%);MDVP:RAP0.99030.9620.8532
p-value(0)(0)(0)
MDVP:Jitter(%);MDVP:PPQ0.97430.97090.8715
p-value(0)(0)(0)
MDVP:Jitter(Abs);MDVP:RAP0.92290.86040.7126
p-value(0)(0)(0)
MDVP:Jitter(Abs);MDVP:PPQ0.89780.90980.777
p-value(0)(0)(0)
MDVP:RAP;MDVP:PPQ0.95730.96640.8467
p-value(0)(0)(0)







Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I errorPearson rSpearman rhoKendall tau
0.010.570.860.86
0.020.570.860.89
0.030.610.860.89
0.040.610.860.89
0.050.610.860.89
0.060.640.860.89
0.070.640.860.89
0.080.640.860.89
0.090.640.860.89
0.10.640.860.93

\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 & 0.57 & 0.86 & 0.86 \tabularnewline
0.02 & 0.57 & 0.86 & 0.89 \tabularnewline
0.03 & 0.61 & 0.86 & 0.89 \tabularnewline
0.04 & 0.61 & 0.86 & 0.89 \tabularnewline
0.05 & 0.61 & 0.86 & 0.89 \tabularnewline
0.06 & 0.64 & 0.86 & 0.89 \tabularnewline
0.07 & 0.64 & 0.86 & 0.89 \tabularnewline
0.08 & 0.64 & 0.86 & 0.89 \tabularnewline
0.09 & 0.64 & 0.86 & 0.89 \tabularnewline
0.1 & 0.64 & 0.86 & 0.93 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231885&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]0.57[/C][C]0.86[/C][C]0.86[/C][/ROW]
[ROW][C]0.02[/C][C]0.57[/C][C]0.86[/C][C]0.89[/C][/ROW]
[ROW][C]0.03[/C][C]0.61[/C][C]0.86[/C][C]0.89[/C][/ROW]
[ROW][C]0.04[/C][C]0.61[/C][C]0.86[/C][C]0.89[/C][/ROW]
[ROW][C]0.05[/C][C]0.61[/C][C]0.86[/C][C]0.89[/C][/ROW]
[ROW][C]0.06[/C][C]0.64[/C][C]0.86[/C][C]0.89[/C][/ROW]
[ROW][C]0.07[/C][C]0.64[/C][C]0.86[/C][C]0.89[/C][/ROW]
[ROW][C]0.08[/C][C]0.64[/C][C]0.86[/C][C]0.89[/C][/ROW]
[ROW][C]0.09[/C][C]0.64[/C][C]0.86[/C][C]0.89[/C][/ROW]
[ROW][C]0.1[/C][C]0.64[/C][C]0.86[/C][C]0.93[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231885&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231885&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
0.010.570.860.86
0.020.570.860.89
0.030.610.860.89
0.040.610.860.89
0.050.610.860.89
0.060.640.860.89
0.070.640.860.89
0.080.640.860.89
0.090.640.860.89
0.10.640.860.93



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')