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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 computationMon, 02 Dec 2013 14:10:48 -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/02/t1386011470buw1si8md8vp9gv.htm/, Retrieved Fri, 29 Mar 2024 09:18:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=230067, Retrieved Fri, 29 Mar 2024 09:18:16 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [] [2013-12-02 19:10:48] [fa37975af643c4e4fccca077f5456344] [Current]
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Dataseries X:
119.992 157.302 0.00784 0.00007 0.00554 0.02971
122.4 148.65 0.00968 0.00008 0.00696 0.04368
116.682 131.111 0.0105 0.00009 0.00781 0.0359
116.676 137.871 0.00997 0.00009 0.00698 0.03772
116.014 141.781 0.01284 0.00011 0.00908 0.04465
120.552 131.162 0.00968 0.00008 0.0075 0.03243
120.267 137.244 0.00333 0.00003 0.00202 0.01351
107.332 113.84 0.0029 0.00003 0.00182 0.01256
95.73 132.068 0.00551 0.00006 0.00332 0.01717
95.056 120.103 0.00532 0.00006 0.00332 0.02444
88.333 112.24 0.00505 0.00006 0.0033 0.01892
91.904 115.871 0.0054 0.00006 0.00336 0.02214
136.926 159.866 0.00293 0.00002 0.00153 0.0114
139.173 179.139 0.0039 0.00003 0.00208 0.01797
152.845 163.305 0.00294 0.00002 0.00149 0.01246
142.167 217.455 0.00369 0.00003 0.00203 0.01359
144.188 349.259 0.00544 0.00004 0.00292 0.02074
168.778 232.181 0.00718 0.00004 0.00387 0.0343
153.046 175.829 0.00742 0.00005 0.00432 0.05767
156.405 189.398 0.00768 0.00005 0.00399 0.0431
153.848 165.738 0.0084 0.00005 0.0045 0.04055
153.88 172.86 0.0048 0.00003 0.00267 0.04525
167.93 193.221 0.00442 0.00003 0.00247 0.04246
173.917 192.735 0.00476 0.00003 0.00258 0.03772
163.656 200.841 0.00742 0.00005 0.0039 0.01497
104.4 206.002 0.00633 0.00006 0.00375 0.0378
171.041 208.313 0.00455 0.00003 0.00234 0.01872
146.845 208.701 0.00496 0.00003 0.00275 0.01826
155.358 227.383 0.0031 0.00002 0.00176 0.01661
162.568 198.346 0.00502 0.00003 0.00253 0.01799
197.076 206.896 0.00289 0.00001 0.00168 0.00802
199.228 209.512 0.00241 0.00001 0.00138 0.00762
198.383 215.203 0.00212 0.00001 0.00135 0.00951
202.266 211.604 0.0018 0.000009 0.00107 0.00719
203.184 211.526 0.00178 0.000009 0.00106 0.00726
201.464 210.565 0.00198 0.00001 0.00115 0.00957
177.876 192.921 0.00411 0.00002 0.00241 0.01612
176.17 185.604 0.00369 0.00002 0.00218 0.01491
180.198 201.249 0.00284 0.00002 0.00166 0.0119
187.733 202.324 0.00316 0.00002 0.00182 0.01366
186.163 197.724 0.00298 0.00002 0.00175 0.01233
184.055 196.537 0.00258 0.00001 0.00147 0.01234
237.226 247.326 0.00298 0.00001 0.00182 0.01133
241.404 248.834 0.00281 0.00001 0.00173 0.01251
243.439 250.912 0.0021 0.000009 0.00137 0.01033
242.852 255.034 0.00225 0.000009 0.00139 0.01014
245.51 262.09 0.00235 0.00001 0.00148 0.01149
252.455 261.487 0.00185 0.000007 0.00113 0.0086
122.188 128.611 0.00524 0.00004 0.00203 0.01433
122.964 130.049 0.00428 0.00003 0.00155 0.014
124.445 135.069 0.00431 0.00003 0.00167 0.01685
126.344 134.231 0.00448 0.00004 0.00169 0.01614
128.001 138.052 0.00436 0.00003 0.00166 0.01677
129.336 139.867 0.0049 0.00004 0.00183 0.01947
108.807 134.656 0.00761 0.00007 0.00486 0.02067
109.86 126.358 0.00874 0.00008 0.00539 0.02454
110.417 131.067 0.00784 0.00007 0.00514 0.02802
117.274 129.916 0.00752 0.00006 0.00469 0.01948
116.879 131.897 0.00788 0.00007 0.00493 0.02137
114.847 271.314 0.00867 0.00008 0.0052 0.02519
209.144 237.494 0.00282 0.00001 0.00152 0.01382
223.365 238.987 0.00264 0.00001 0.00151 0.0134
222.236 231.345 0.00266 0.00001 0.00144 0.012
228.832 234.619 0.00296 0.00001 0.00155 0.01179
229.401 252.221 0.00205 0.000009 0.00113 0.01016
228.969 239.541 0.00238 0.00001 0.0014 0.01234
140.341 159.774 0.00817 0.00006 0.0044 0.02428
136.969 166.607 0.00923 0.00007 0.00463 0.02603
143.533 162.215 0.01101 0.00008 0.00467 0.03392
148.09 162.824 0.00762 0.00005 0.00354 0.03635
142.729 162.408 0.00831 0.00006 0.00419 0.02949
136.358 176.595 0.00971 0.00007 0.00478 0.03736
120.08 139.71 0.00405 0.00003 0.0022 0.01345
112.014 588.518 0.00533 0.00005 0.00329 0.01956
110.793 128.101 0.00494 0.00004 0.00283 0.01831
110.707 122.611 0.00516 0.00005 0.00289 0.01715
112.876 148.826 0.005 0.00004 0.00289 0.02704
110.568 125.394 0.00462 0.00004 0.0028 0.01636
95.385 102.145 0.00608 0.00006 0.00332 0.02455
100.77 115.697 0.01038 0.0001 0.00576 0.02139
96.106 108.664 0.00694 0.00007 0.00415 0.02876
95.605 107.715 0.00702 0.00007 0.00371 0.0219
100.96 110.019 0.00606 0.00006 0.00348 0.01751
98.804 102.305 0.00432 0.00004 0.00258 0.01552
176.858 205.56 0.00747 0.00004 0.0042 0.0351
180.978 200.125 0.00406 0.00002 0.00244 0.02877
178.222 202.45 0.00321 0.00002 0.00194 0.02784
176.281 227.381 0.0052 0.00003 0.00312 0.04683
173.898 211.35 0.00448 0.00003 0.00254 0.04802
179.711 225.93 0.00709 0.00004 0.00419 0.03455
166.605 206.008 0.00742 0.00004 0.00453 0.05114
151.955 163.335 0.00419 0.00003 0.00227 0.0569
148.272 164.989 0.00459 0.00003 0.00256 0.03051
152.125 161.469 0.00382 0.00003 0.00226 0.04398
157.821 172.975 0.00358 0.00002 0.00196 0.02764
157.447 163.267 0.00369 0.00002 0.00197 0.02571
159.116 168.913 0.00342 0.00002 0.00184 0.02809
125.036 143.946 0.0128 0.0001 0.00623 0.03088
125.791 140.557 0.01378 0.00011 0.00655 0.03908
126.512 141.756 0.01936 0.00015 0.0099 0.05783
125.641 141.068 0.03316 0.00026 0.01522 0.06196
128.451 150.449 0.01551 0.00012 0.00909 0.05174
139.224 586.567 0.03011 0.00022 0.01628 0.06023
150.258 154.609 0.00248 0.00002 0.00136 0.01009
154.003 160.267 0.00183 0.00001 0.001 0.00871
149.689 160.368 0.00257 0.00002 0.00134 0.01059
155.078 163.736 0.00168 0.00001 0.00092 0.00928
151.884 157.765 0.00258 0.00002 0.00122 0.01267
151.989 157.339 0.00174 0.00001 0.00096 0.00993
193.03 208.9 0.00766 0.00004 0.00389 0.02084
200.714 223.982 0.00621 0.00003 0.00337 0.01852
208.519 220.315 0.00609 0.00003 0.00339 0.01307
204.664 221.3 0.00841 0.00004 0.00485 0.01767
210.141 232.706 0.00534 0.00003 0.0028 0.01301
206.327 226.355 0.00495 0.00002 0.00246 0.01604
151.872 492.892 0.00856 0.00006 0.00385 0.01271
158.219 442.557 0.00476 0.00003 0.00207 0.01312
170.756 450.247 0.00555 0.00003 0.00261 0.01652
178.285 442.824 0.00462 0.00003 0.00194 0.01151
217.116 233.481 0.00404 0.00002 0.00128 0.01075
128.94 479.697 0.00581 0.00005 0.00314 0.01734
176.824 215.293 0.0046 0.00003 0.00221 0.01104
138.19 203.522 0.00704 0.00005 0.00398 0.0322
182.018 197.173 0.00842 0.00005 0.00449 0.01931
156.239 195.107 0.00694 0.00004 0.00395 0.0172
145.174 198.109 0.00733 0.00005 0.00422 0.01944
138.145 197.238 0.00544 0.00004 0.00327 0.02259
166.888 198.966 0.00638 0.00004 0.00351 0.02301
119.031 127.533 0.0044 0.00004 0.00192 0.00811
120.078 126.632 0.0027 0.00002 0.00135 0.00903
120.289 128.143 0.00492 0.00004 0.00238 0.01194
120.256 125.306 0.00407 0.00003 0.00205 0.0131
119.056 125.213 0.00346 0.00003 0.0017 0.00915
118.747 123.723 0.00331 0.00003 0.00171 0.00903
106.516 112.777 0.00589 0.00006 0.00319 0.03651
110.453 127.611 0.00494 0.00004 0.00315 0.03316
113.4 133.344 0.00451 0.00004 0.00283 0.0437
113.166 130.27 0.00502 0.00004 0.00312 0.04134
112.239 126.609 0.00472 0.00004 0.0029 0.04451
116.15 131.731 0.00381 0.00003 0.00232 0.0277
170.368 268.796 0.00571 0.00003 0.00269 0.02824
208.083 253.792 0.00757 0.00004 0.00428 0.04464
198.458 219.29 0.00376 0.00002 0.00215 0.0253
202.805 231.508 0.0037 0.00002 0.00211 0.01506
202.544 241.35 0.00254 0.00001 0.00133 0.02006
223.361 263.872 0.00352 0.00002 0.00188 0.01909
169.774 191.759 0.01568 0.00009 0.00946 0.08808
183.52 216.814 0.01466 0.00008 0.00819 0.06359
188.62 216.302 0.01719 0.00009 0.01027 0.06824
202.632 565.74 0.01627 0.00008 0.00963 0.0646
186.695 211.961 0.01872 0.0001 0.01154 0.06259
192.818 224.429 0.03107 0.00016 0.01958 0.13778
198.116 233.099 0.02714 0.00014 0.01699 0.08318
121.345 139.644 0.00684 0.00006 0.00332 0.02056
119.1 128.442 0.00692 0.00006 0.003 0.02018
117.87 127.349 0.00647 0.00005 0.003 0.02402
122.336 142.369 0.00727 0.00006 0.00339 0.01771
117.963 134.209 0.01813 0.00015 0.00718 0.02916
126.144 154.284 0.00975 0.00008 0.00454 0.02157
127.93 138.752 0.00605 0.00005 0.00318 0.03105
114.238 124.393 0.00581 0.00005 0.00316 0.04114
115.322 135.738 0.00619 0.00005 0.00329 0.02931
114.554 126.778 0.00651 0.00006 0.0034 0.03091
112.15 131.669 0.00519 0.00005 0.00284 0.01363
102.273 142.83 0.00907 0.00009 0.00461 0.02073
236.2 244.663 0.00277 0.00001 0.00153 0.01621
237.323 243.709 0.00303 0.00001 0.00159 0.00882
260.105 264.919 0.00339 0.00001 0.00186 0.01367
197.569 217.627 0.00803 0.00004 0.00448 0.01439
240.301 245.135 0.00517 0.00002 0.00283 0.01344
244.99 272.21 0.00451 0.00002 0.00237 0.01255
112.547 133.374 0.00355 0.00003 0.0019 0.0114
110.739 113.597 0.00356 0.00003 0.002 0.01285
113.715 116.443 0.00349 0.00003 0.00203 0.01148
117.004 144.466 0.00353 0.00003 0.00218 0.01318
115.38 123.109 0.00332 0.00003 0.00199 0.01133
116.388 129.038 0.00346 0.00003 0.00213 0.01331
151.737 190.204 0.00314 0.00002 0.00162 0.0123
148.79 158.359 0.00309 0.00002 0.00186 0.01309
148.143 155.982 0.00392 0.00003 0.00231 0.01263
150.44 163.441 0.00396 0.00003 0.00233 0.02148
148.462 161.078 0.00397 0.00003 0.00235 0.01559
149.818 163.417 0.00336 0.00002 0.00198 0.01666
117.226 123.925 0.00417 0.00004 0.0027 0.01949
116.848 217.552 0.00531 0.00005 0.00346 0.01756
116.286 177.291 0.00314 0.00003 0.00192 0.01691
116.556 592.03 0.00496 0.00004 0.00263 0.01491
116.342 581.289 0.00267 0.00002 0.00148 0.01144
114.563 119.167 0.00327 0.00003 0.00184 0.01095
201.774 262.707 0.00694 0.00003 0.00396 0.01758
174.188 230.978 0.00459 0.00003 0.00259 0.02745
209.516 253.017 0.00564 0.00003 0.00292 0.01879
174.688 240.005 0.0136 0.00008 0.00564 0.01667
198.764 396.961 0.0074 0.00004 0.0039 0.01588
214.289 260.277 0.00567 0.00003 0.00317 0.01373
 




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 4 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230067&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230067&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230067&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'Gwilym Jenkins' @ jenkins.wessa.net







Correlations for all pairs of data series (method=kendall)
MDVP:Fo(Hz)MDVP:Fhi(Hz)MDVP:Jitter(%)MDVP:Jitter(Abs)MDVP:PPQMDVP:APQ
MDVP:Fo(Hz)10.66-0.182-0.423-0.203-0.148
MDVP:Fhi(Hz)0.661-0.066-0.261-0.08-0.072
MDVP:Jitter(%)-0.182-0.06610.7950.8720.547
MDVP:Jitter(Abs)-0.423-0.2610.79510.7770.533
MDVP:PPQ-0.203-0.080.8720.77710.572
MDVP:APQ-0.148-0.0720.5470.5330.5721

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=kendall) \tabularnewline
  & MDVP:Fo(Hz) & MDVP:Fhi(Hz) & MDVP:Jitter(%) & MDVP:Jitter(Abs) & MDVP:PPQ & MDVP:APQ \tabularnewline
MDVP:Fo(Hz) & 1 & 0.66 & -0.182 & -0.423 & -0.203 & -0.148 \tabularnewline
MDVP:Fhi(Hz) & 0.66 & 1 & -0.066 & -0.261 & -0.08 & -0.072 \tabularnewline
MDVP:Jitter(%) & -0.182 & -0.066 & 1 & 0.795 & 0.872 & 0.547 \tabularnewline
MDVP:Jitter(Abs) & -0.423 & -0.261 & 0.795 & 1 & 0.777 & 0.533 \tabularnewline
MDVP:PPQ & -0.203 & -0.08 & 0.872 & 0.777 & 1 & 0.572 \tabularnewline
MDVP:APQ & -0.148 & -0.072 & 0.547 & 0.533 & 0.572 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230067&T=1

[TABLE]
[ROW][C]Correlations for all pairs of data series (method=kendall)[/C][/ROW]
[ROW][C] [/C][C]MDVP:Fo(Hz)[/C][C]MDVP:Fhi(Hz)[/C][C]MDVP:Jitter(%)[/C][C]MDVP:Jitter(Abs)[/C][C]MDVP:PPQ[/C][C]MDVP:APQ[/C][/ROW]
[ROW][C]MDVP:Fo(Hz)[/C][C]1[/C][C]0.66[/C][C]-0.182[/C][C]-0.423[/C][C]-0.203[/C][C]-0.148[/C][/ROW]
[ROW][C]MDVP:Fhi(Hz)[/C][C]0.66[/C][C]1[/C][C]-0.066[/C][C]-0.261[/C][C]-0.08[/C][C]-0.072[/C][/ROW]
[ROW][C]MDVP:Jitter(%)[/C][C]-0.182[/C][C]-0.066[/C][C]1[/C][C]0.795[/C][C]0.872[/C][C]0.547[/C][/ROW]
[ROW][C]MDVP:Jitter(Abs)[/C][C]-0.423[/C][C]-0.261[/C][C]0.795[/C][C]1[/C][C]0.777[/C][C]0.533[/C][/ROW]
[ROW][C]MDVP:PPQ[/C][C]-0.203[/C][C]-0.08[/C][C]0.872[/C][C]0.777[/C][C]1[/C][C]0.572[/C][/ROW]
[ROW][C]MDVP:APQ[/C][C]-0.148[/C][C]-0.072[/C][C]0.547[/C][C]0.533[/C][C]0.572[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230067&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230067&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)
MDVP:Fo(Hz)MDVP:Fhi(Hz)MDVP:Jitter(%)MDVP:Jitter(Abs)MDVP:PPQMDVP:APQ
MDVP:Fo(Hz)10.66-0.182-0.423-0.203-0.148
MDVP:Fhi(Hz)0.661-0.066-0.261-0.08-0.072
MDVP:Jitter(%)-0.182-0.06610.7950.8720.547
MDVP:Jitter(Abs)-0.423-0.2610.79510.7770.533
MDVP:PPQ-0.203-0.080.8720.77710.572
MDVP:APQ-0.148-0.0720.5470.5330.5721







Correlations for all pairs of data series with p-values
pairPearson rSpearman rhoKendall tau
MDVP:Fo(Hz);MDVP:Fhi(Hz)0.4010.79560.6603
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:PPQ-0.1122-0.2982-0.2032
p-value(0.1185)(0)(0)
MDVP:Fo(Hz);MDVP:APQ-0.0778-0.2285-0.1476
p-value(0.2798)(0.0013)(0.0022)
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:PPQ0.0911-0.1178-0.0795
p-value(0.2052)(0.1009)(0.099)
MDVP:Fhi(Hz);MDVP:APQ0.0049-0.1165-0.0716
p-value(0.9454)(0.1048)(0.137)
MDVP:Jitter(%);MDVP:Jitter(Abs)0.93570.91940.7953
p-value(0)(0)(0)
MDVP:Jitter(%);MDVP:PPQ0.97430.97090.8715
p-value(0)(0)(0)
MDVP:Jitter(%);MDVP:APQ0.75830.73120.5473
p-value(0)(0)(0)
MDVP:Jitter(Abs);MDVP:PPQ0.89780.90980.777
p-value(0)(0)(0)
MDVP:Jitter(Abs);MDVP:APQ0.64880.6910.5331
p-value(0)(0)(0)
MDVP:PPQ;MDVP:APQ0.80410.76250.5718
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
MDVP:Fo(Hz);MDVP:Fhi(Hz) & 0.401 & 0.7956 & 0.6603 \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:PPQ & -0.1122 & -0.2982 & -0.2032 \tabularnewline
p-value & (0.1185) & (0) & (0) \tabularnewline
MDVP:Fo(Hz);MDVP:APQ & -0.0778 & -0.2285 & -0.1476 \tabularnewline
p-value & (0.2798) & (0.0013) & (0.0022) \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:PPQ & 0.0911 & -0.1178 & -0.0795 \tabularnewline
p-value & (0.2052) & (0.1009) & (0.099) \tabularnewline
MDVP:Fhi(Hz);MDVP:APQ & 0.0049 & -0.1165 & -0.0716 \tabularnewline
p-value & (0.9454) & (0.1048) & (0.137) \tabularnewline
MDVP:Jitter(%);MDVP:Jitter(Abs) & 0.9357 & 0.9194 & 0.7953 \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(%);MDVP:APQ & 0.7583 & 0.7312 & 0.5473 \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:Jitter(Abs);MDVP:APQ & 0.6488 & 0.691 & 0.5331 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:PPQ;MDVP:APQ & 0.8041 & 0.7625 & 0.5718 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230067&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]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: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: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:Fo(Hz);MDVP:APQ[/C][C]-0.0778[/C][C]-0.2285[/C][C]-0.1476[/C][/ROW]
[ROW][C]p-value[/C][C](0.2798)[/C][C](0.0013)[/C][C](0.0022)[/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: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:Fhi(Hz);MDVP:APQ[/C][C]0.0049[/C][C]-0.1165[/C][C]-0.0716[/C][/ROW]
[ROW][C]p-value[/C][C](0.9454)[/C][C](0.1048)[/C][C](0.137)[/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: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(%);MDVP:APQ[/C][C]0.7583[/C][C]0.7312[/C][C]0.5473[/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:Jitter(Abs);MDVP:APQ[/C][C]0.6488[/C][C]0.691[/C][C]0.5331[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:PPQ;MDVP:APQ[/C][C]0.8041[/C][C]0.7625[/C][C]0.5718[/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=230067&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230067&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
MDVP:Fo(Hz);MDVP:Fhi(Hz)0.4010.79560.6603
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:PPQ-0.1122-0.2982-0.2032
p-value(0.1185)(0)(0)
MDVP:Fo(Hz);MDVP:APQ-0.0778-0.2285-0.1476
p-value(0.2798)(0.0013)(0.0022)
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:PPQ0.0911-0.1178-0.0795
p-value(0.2052)(0.1009)(0.099)
MDVP:Fhi(Hz);MDVP:APQ0.0049-0.1165-0.0716
p-value(0.9454)(0.1048)(0.137)
MDVP:Jitter(%);MDVP:Jitter(Abs)0.93570.91940.7953
p-value(0)(0)(0)
MDVP:Jitter(%);MDVP:PPQ0.97430.97090.8715
p-value(0)(0)(0)
MDVP:Jitter(%);MDVP:APQ0.75830.73120.5473
p-value(0)(0)(0)
MDVP:Jitter(Abs);MDVP:PPQ0.89780.90980.777
p-value(0)(0)(0)
MDVP:Jitter(Abs);MDVP:APQ0.64880.6910.5331
p-value(0)(0)(0)
MDVP:PPQ;MDVP:APQ0.80410.76250.5718
p-value(0)(0)(0)







Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I errorPearson rSpearman rhoKendall tau
0.010.530.80.8
0.020.530.80.8
0.030.530.80.8
0.040.530.80.8
0.050.530.80.8
0.060.530.80.8
0.070.530.80.8
0.080.530.80.8
0.090.530.80.8
0.10.530.80.87

\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 & 0.53 & 0.8 & 0.8 \tabularnewline
0.02 & 0.53 & 0.8 & 0.8 \tabularnewline
0.03 & 0.53 & 0.8 & 0.8 \tabularnewline
0.04 & 0.53 & 0.8 & 0.8 \tabularnewline
0.05 & 0.53 & 0.8 & 0.8 \tabularnewline
0.06 & 0.53 & 0.8 & 0.8 \tabularnewline
0.07 & 0.53 & 0.8 & 0.8 \tabularnewline
0.08 & 0.53 & 0.8 & 0.8 \tabularnewline
0.09 & 0.53 & 0.8 & 0.8 \tabularnewline
0.1 & 0.53 & 0.8 & 0.87 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=230067&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]0.53[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.02[/C][C]0.53[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.03[/C][C]0.53[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.04[/C][C]0.53[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.05[/C][C]0.53[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.06[/C][C]0.53[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.07[/C][C]0.53[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.08[/C][C]0.53[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.09[/C][C]0.53[/C][C]0.8[/C][C]0.8[/C][/ROW]
[ROW][C]0.1[/C][C]0.53[/C][C]0.8[/C][C]0.87[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=230067&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=230067&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
0.010.530.80.8
0.020.530.80.8
0.030.530.80.8
0.040.530.80.8
0.050.530.80.8
0.060.530.80.8
0.070.530.80.8
0.080.530.80.8
0.090.530.80.8
0.10.530.80.87



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')
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')