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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, 09 Dec 2013 13:23:43 -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/09/t1386614174byrbig2rhbca2yi.htm/, Retrieved Thu, 28 Mar 2024 22:04:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=231722, Retrieved Thu, 28 Mar 2024 22:04:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Kendall tau Correlation Matrix] [WS 10 Kendall Tau...] [2013-12-09 18:23:43] [faf5687099d29873b02937e73636223c] [Current]
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Dataseries X:
1 119.992 0.06545 0.02971 0.00784 2.301442 0.414783
1 122.4 0.09403 0.04368 0.00968 2.486855 0.458359
1 116.682 0.0827 0.0359 0.0105 2.342259 0.429895
1 116.676 0.08771 0.03772 0.00997 2.405554 0.434969
1 116.014 0.1047 0.04465 0.01284 2.33218 0.417356
1 120.552 0.06985 0.03243 0.00968 2.18756 0.415564
1 120.267 0.02337 0.01351 0.00333 1.854785 0.59604
1 107.332 0.02487 0.01256 0.0029 2.064693 0.63742
1 95.73 0.03218 0.01717 0.00551 2.322511 0.615551
1 95.056 0.04324 0.02444 0.00532 2.432792 0.547037
1 88.333 0.03237 0.01892 0.00505 2.407313 0.611137
1 91.904 0.04272 0.02214 0.0054 2.642476 0.58339
1 136.926 0.01968 0.0114 0.00293 2.041277 0.4606
1 139.173 0.02184 0.01797 0.0039 2.519422 0.430166
1 152.845 0.03191 0.01246 0.00294 2.125618 0.474791
1 142.167 0.02316 0.01359 0.00369 2.205546 0.565924
1 144.188 0.02908 0.02074 0.00544 2.264501 0.56738
1 168.778 0.04322 0.0343 0.00718 3.007463 0.631099
1 153.046 0.07413 0.05767 0.00742 3.10901 0.665318
1 156.405 0.05164 0.0431 0.00768 2.856676 0.649554
1 153.848 0.05 0.04055 0.0084 2.73971 0.660125
1 153.88 0.06062 0.04525 0.0048 2.557536 0.629017
1 167.93 0.06685 0.04246 0.00442 2.916777 0.61906
1 173.917 0.06562 0.03772 0.00476 2.547508 0.537264
1 163.656 0.02214 0.01497 0.00742 2.692176 0.397937
1 104.4 0.05197 0.0378 0.00633 2.846369 0.522746
1 171.041 0.02666 0.01872 0.00455 2.589702 0.418622
1 146.845 0.0265 0.01826 0.00496 2.314209 0.358773
1 155.358 0.02307 0.01661 0.0031 2.241742 0.470478
1 162.568 0.0238 0.01799 0.00502 1.957961 0.427785
0 197.076 0.01689 0.00802 0.00289 1.743867 0.422229
0 199.228 0.01513 0.00762 0.00241 2.103106 0.432439
0 198.383 0.01919 0.00951 0.00212 1.512275 0.465946
0 202.266 0.01407 0.00719 0.0018 1.544609 0.368535
0 203.184 0.01403 0.00726 0.00178 1.423287 0.340068
0 201.464 0.01758 0.00957 0.00198 2.447064 0.344252
1 177.876 0.03463 0.01612 0.00411 2.477082 0.360148
1 176.17 0.02814 0.01491 0.00369 2.536527 0.341435
1 180.198 0.02177 0.0119 0.00284 2.269398 0.403884
1 187.733 0.02488 0.01366 0.00316 2.382544 0.396793
1 186.163 0.02321 0.01233 0.00298 2.374073 0.32648
1 184.055 0.02226 0.01234 0.00258 2.361532 0.306443
0 237.226 0.03104 0.01133 0.00298 2.416838 0.305062
0 241.404 0.03017 0.01251 0.00281 2.256699 0.457702
0 243.439 0.0233 0.01033 0.0021 2.330716 0.438296
0 242.852 0.02542 0.01014 0.00225 2.3658 0.431285
0 245.51 0.02719 0.01149 0.00235 2.392122 0.467489
0 252.455 0.01841 0.0086 0.00185 2.028612 0.610367
0 122.188 0.02566 0.01433 0.00524 2.079922 0.579597
0 122.964 0.02789 0.014 0.00428 2.054419 0.538688
0 124.445 0.03724 0.01685 0.00431 1.840198 0.553134
0 126.344 0.03429 0.01614 0.00448 2.431854 0.507504
0 128.001 0.03969 0.01677 0.00436 1.972297 0.459766
0 129.336 0.04188 0.01947 0.0049 2.223719 0.420383
1 108.807 0.0445 0.02067 0.00761 1.986899 0.536009
1 109.86 0.05368 0.02454 0.00874 2.014606 0.558586
1 110.417 0.06097 0.02802 0.00784 1.92294 0.541781
1 117.274 0.03568 0.01948 0.00752 2.021591 0.530529
1 116.879 0.04183 0.02137 0.00788 1.827012 0.540049
1 114.847 0.05414 0.02519 0.00867 1.831691 0.547975
0 209.144 0.02925 0.01382 0.00282 2.460791 0.341788
0 223.365 0.03039 0.0134 0.00264 2.32156 0.447979
0 222.236 0.02602 0.012 0.00266 2.278687 0.364867
0 228.832 0.02647 0.01179 0.00296 2.498224 0.25657
0 229.401 0.02308 0.01016 0.00205 2.003032 0.27685
0 228.969 0.02827 0.01234 0.00238 2.118596 0.305429
1 140.341 0.0549 0.02428 0.00817 2.359973 0.460139
1 136.969 0.04914 0.02603 0.00923 2.291558 0.498133
1 143.533 0.09455 0.03392 0.01101 2.118496 0.513237
1 148.09 0.1007 0.03635 0.00762 2.137075 0.487407
1 142.729 0.05605 0.02949 0.00831 2.277927 0.489345
1 136.358 0.08247 0.03736 0.00971 2.642276 0.543299
1 120.08 0.02921 0.01345 0.00405 2.205024 0.495954
1 112.014 0.0412 0.01956 0.00533 1.928708 0.509127
1 110.793 0.04295 0.01831 0.00494 2.225815 0.437031
1 110.707 0.03851 0.01715 0.00516 1.862092 0.463514
1 112.876 0.07238 0.02704 0.005 2.007923 0.489538
1 110.568 0.03852 0.01636 0.00462 1.777901 0.429484
1 95.385 0.05408 0.02455 0.00608 2.017753 0.644954
1 100.77 0.0532 0.02139 0.01038 2.398422 0.594387
1 96.106 0.06799 0.02876 0.00694 2.645959 0.544805
1 95.605 0.05377 0.0219 0.00702 2.232576 0.576084
1 100.96 0.04114 0.01751 0.00606 2.428306 0.55461
1 98.804 0.03831 0.01552 0.00432 2.053601 0.576644
1 176.858 0.08037 0.0351 0.00747 3.099301 0.556494
1 180.978 0.06321 0.02877 0.00406 3.098256 0.583574
1 178.222 0.06219 0.02784 0.00321 2.654271 0.598714
1 176.281 0.11012 0.04683 0.0052 3.13655 0.602874
1 173.898 0.11363 0.04802 0.00448 3.007096 0.599371
1 179.711 0.06892 0.03455 0.00709 3.671155 0.590951
1 166.605 0.10949 0.05114 0.00742 3.317586 0.65341
1 151.955 0.13262 0.0569 0.00419 2.344876 0.501037
1 148.272 0.0715 0.03051 0.00459 2.344336 0.454444
1 152.125 0.10024 0.04398 0.00382 2.080121 0.447456
1 157.821 0.06185 0.02764 0.00358 2.143851 0.50238
1 157.447 0.05439 0.02571 0.00369 2.344348 0.447285
1 159.116 0.05417 0.02809 0.00342 2.473239 0.366329
1 125.036 0.06406 0.03088 0.0128 2.671825 0.629574
1 125.791 0.07625 0.03908 0.01378 2.441612 0.57101
1 126.512 0.10833 0.05783 0.01936 2.634633 0.638545
1 125.641 0.16074 0.06196 0.03316 2.991063 0.671299
1 128.451 0.09669 0.05174 0.01551 2.638279 0.639808
1 139.224 0.16654 0.06023 0.03011 2.690917 0.596362
1 150.258 0.01567 0.01009 0.00248 2.004055 0.296888
1 154.003 0.01406 0.00871 0.00183 2.065477 0.263654
1 149.689 0.01979 0.01059 0.00257 1.994387 0.365488
1 155.078 0.01567 0.00928 0.00168 2.129924 0.334171
1 151.884 0.01898 0.01267 0.00258 2.499148 0.393563
1 151.989 0.01364 0.00993 0.00174 2.296873 0.311369
1 193.03 0.05312 0.02084 0.00766 2.608749 0.497554
1 200.714 0.03576 0.01852 0.00621 2.550961 0.436084
1 208.519 0.02855 0.01307 0.00609 2.502336 0.338097
1 204.664 0.03831 0.01767 0.00841 2.376749 0.498877
1 210.141 0.02583 0.01301 0.00534 2.489191 0.441097
1 206.327 0.0332 0.01604 0.00495 2.938114 0.331508
1 151.872 0.02389 0.01271 0.00856 2.702355 0.407701
1 158.219 0.01818 0.01312 0.00476 2.640798 0.450798
1 170.756 0.0227 0.01652 0.00555 2.975889 0.486738
1 178.285 0.01851 0.01151 0.00462 2.816781 0.470422
1 217.116 0.02038 0.01075 0.00404 2.925862 0.462516
1 128.94 0.02548 0.01734 0.00581 2.68624 0.487756
1 176.824 0.01603 0.01104 0.0046 2.655744 0.400088
1 138.19 0.07761 0.0322 0.00704 2.090438 0.538016
1 182.018 0.04115 0.01931 0.00842 2.174306 0.589956
1 156.239 0.03867 0.0172 0.00694 1.929715 0.618663
1 145.174 0.03706 0.01944 0.00733 1.765957 0.637518
1 138.145 0.04451 0.02259 0.00544 1.821297 0.623209
1 166.888 0.04641 0.02301 0.00638 1.996146 0.585169
1 119.031 0.01614 0.00811 0.0044 2.328513 0.457541
1 120.078 0.01428 0.00903 0.0027 2.108873 0.491345
1 120.289 0.0211 0.01194 0.00492 2.539724 0.46716
1 120.256 0.02164 0.0131 0.00407 2.527742 0.468621
1 119.056 0.01898 0.00915 0.00346 2.51632 0.470972
1 118.747 0.01471 0.00903 0.00331 2.034827 0.482296
1 106.516 0.0805 0.03651 0.00589 2.375138 0.637814
1 110.453 0.06688 0.03316 0.00494 2.631793 0.653427
1 113.4 0.07154 0.0437 0.00451 2.445502 0.6479
1 113.166 0.08689 0.04134 0.00502 2.672362 0.625362
1 112.239 0.09211 0.04451 0.00472 2.419253 0.640945
1 116.15 0.04543 0.0277 0.00381 2.445646 0.624811
1 170.368 0.05139 0.02824 0.00571 2.963799 0.677131
1 208.083 0.12047 0.04464 0.00757 2.665133 0.606344
1 198.458 0.06165 0.0253 0.00376 2.465528 0.606273
1 202.805 0.0335 0.01506 0.0037 2.470746 0.536102
1 202.544 0.04426 0.02006 0.00254 2.576563 0.49748
1 223.361 0.04137 0.01909 0.00352 2.840556 0.566849
1 169.774 0.11411 0.08808 0.01568 3.413649 0.56161
1 183.52 0.08595 0.06359 0.01466 3.142364 0.478024
1 188.62 0.10422 0.06824 0.01719 3.274865 0.55287
1 202.632 0.10546 0.0646 0.01627 2.910213 0.427627
1 186.695 0.08096 0.06259 0.01872 2.958815 0.507826
1 192.818 0.16942 0.13778 0.03107 3.079221 0.625866
1 198.116 0.12851 0.08318 0.02714 3.184027 0.584164
1 121.345 0.04019 0.02056 0.00684 2.01353 0.566867
1 119.1 0.04451 0.02018 0.00692 2.45113 0.65168
1 117.87 0.04977 0.02402 0.00647 2.439597 0.6283
1 122.336 0.03615 0.01771 0.00727 2.699645 0.611679
1 117.963 0.0783 0.02916 0.01813 2.964568 0.630547
1 126.144 0.04499 0.02157 0.00975 2.8923 0.635015
1 127.93 0.04079 0.03105 0.00605 2.103014 0.654945
1 114.238 0.04736 0.04114 0.00581 2.151121 0.653139
1 115.322 0.04933 0.02931 0.00619 2.442906 0.577802
1 114.554 0.05592 0.03091 0.00651 2.408689 0.685151
1 112.15 0.02902 0.01363 0.00519 1.871871 0.557045
1 102.273 0.04736 0.02073 0.00907 2.560422 0.671378
0 236.2 0.04231 0.01621 0.00277 2.235197 0.469928
0 237.323 0.02089 0.00882 0.00303 1.852402 0.384868
0 260.105 0.03557 0.01367 0.00339 1.881767 0.440988
0 197.569 0.03836 0.01439 0.00803 2.88245 0.372222
0 240.301 0.03529 0.01344 0.00517 2.266432 0.371837
0 244.99 0.03253 0.01255 0.00451 2.095237 0.522812
0 112.547 0.01992 0.0114 0.00355 2.193412 0.413295
0 110.739 0.02261 0.01285 0.00356 1.889002 0.36909
0 113.715 0.02245 0.01148 0.00349 1.852542 0.380253
0 117.004 0.02643 0.01318 0.00353 1.872946 0.387482
0 115.38 0.02436 0.01133 0.00332 1.974857 0.405991
0 116.388 0.02623 0.01331 0.00346 2.004719 0.361232
1 151.737 0.02184 0.0123 0.00314 2.449763 0.39661
1 148.79 0.02518 0.01309 0.00309 2.251553 0.402591
1 148.143 0.02175 0.01263 0.00392 2.845109 0.398499
1 150.44 0.03964 0.02148 0.00396 2.264226 0.352396
1 148.462 0.02849 0.01559 0.00397 2.679185 0.408598
1 149.818 0.03464 0.01666 0.00336 2.209021 0.329577
0 117.226 0.02592 0.01949 0.00417 2.027228 0.603515
0 116.848 0.02429 0.01756 0.00531 2.120412 0.663842
0 116.286 0.02001 0.01691 0.00314 2.058658 0.598515
0 116.556 0.0246 0.01491 0.00496 2.161936 0.566424
0 116.342 0.01892 0.01144 0.00267 2.152083 0.528485
0 114.563 0.01672 0.01095 0.00327 1.91399 0.555303
0 201.774 0.04363 0.01758 0.00694 2.316346 0.508479
0 174.188 0.07008 0.02745 0.00459 2.657476 0.448439
0 209.516 0.04812 0.01879 0.00564 2.784312 0.431674
0 174.688 0.03804 0.01667 0.0136 2.679772 0.407567
0 198.764 0.03794 0.01588 0.0074 2.138608 0.451221
0 214.289 0.03078 0.01373 0.00567 2.555477 0.462803




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 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 & 7 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231722&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]7 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=231722&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231722&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 time7 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Correlations for all pairs of data series (method=pearson)
statusMDVP:Fo(Hz)Shimmer:DDAMDVP:APQMDVP:Jitter(%)D2RPDE
status1-0.3840.3480.3640.2780.340.309
MDVP:Fo(Hz)-0.3841-0.095-0.078-0.1180.178-0.384
Shimmer:DDA0.348-0.09510.8970.7470.4670.435
MDVP:APQ0.364-0.0780.89710.7580.5370.451
MDVP:Jitter(%)0.278-0.1180.7470.75810.4330.361
D20.340.1780.4670.5370.43310.237
RPDE0.309-0.3840.4350.4510.3610.2371

\begin{tabular}{lllllllll}
\hline
Correlations for all pairs of data series (method=pearson) \tabularnewline
  & status & MDVP:Fo(Hz) & Shimmer:DDA & MDVP:APQ & MDVP:Jitter(%) & D2 & RPDE \tabularnewline
status & 1 & -0.384 & 0.348 & 0.364 & 0.278 & 0.34 & 0.309 \tabularnewline
MDVP:Fo(Hz) & -0.384 & 1 & -0.095 & -0.078 & -0.118 & 0.178 & -0.384 \tabularnewline
Shimmer:DDA & 0.348 & -0.095 & 1 & 0.897 & 0.747 & 0.467 & 0.435 \tabularnewline
MDVP:APQ & 0.364 & -0.078 & 0.897 & 1 & 0.758 & 0.537 & 0.451 \tabularnewline
MDVP:Jitter(%) & 0.278 & -0.118 & 0.747 & 0.758 & 1 & 0.433 & 0.361 \tabularnewline
D2 & 0.34 & 0.178 & 0.467 & 0.537 & 0.433 & 1 & 0.237 \tabularnewline
RPDE & 0.309 & -0.384 & 0.435 & 0.451 & 0.361 & 0.237 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231722&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]Shimmer:DDA[/C][C]MDVP:APQ[/C][C]MDVP:Jitter(%)[/C][C]D2[/C][C]RPDE[/C][/ROW]
[ROW][C]status[/C][C]1[/C][C]-0.384[/C][C]0.348[/C][C]0.364[/C][C]0.278[/C][C]0.34[/C][C]0.309[/C][/ROW]
[ROW][C]MDVP:Fo(Hz)[/C][C]-0.384[/C][C]1[/C][C]-0.095[/C][C]-0.078[/C][C]-0.118[/C][C]0.178[/C][C]-0.384[/C][/ROW]
[ROW][C]Shimmer:DDA[/C][C]0.348[/C][C]-0.095[/C][C]1[/C][C]0.897[/C][C]0.747[/C][C]0.467[/C][C]0.435[/C][/ROW]
[ROW][C]MDVP:APQ[/C][C]0.364[/C][C]-0.078[/C][C]0.897[/C][C]1[/C][C]0.758[/C][C]0.537[/C][C]0.451[/C][/ROW]
[ROW][C]MDVP:Jitter(%)[/C][C]0.278[/C][C]-0.118[/C][C]0.747[/C][C]0.758[/C][C]1[/C][C]0.433[/C][C]0.361[/C][/ROW]
[ROW][C]D2[/C][C]0.34[/C][C]0.178[/C][C]0.467[/C][C]0.537[/C][C]0.433[/C][C]1[/C][C]0.237[/C][/ROW]
[ROW][C]RPDE[/C][C]0.309[/C][C]-0.384[/C][C]0.435[/C][C]0.451[/C][C]0.361[/C][C]0.237[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231722&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231722&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)Shimmer:DDAMDVP:APQMDVP:Jitter(%)D2RPDE
status1-0.3840.3480.3640.2780.340.309
MDVP:Fo(Hz)-0.3841-0.095-0.078-0.1180.178-0.384
Shimmer:DDA0.348-0.09510.8970.7470.4670.435
MDVP:APQ0.364-0.0780.89710.7580.5370.451
MDVP:Jitter(%)0.278-0.1180.7470.75810.4330.361
D20.340.1780.4670.5370.43310.237
RPDE0.309-0.3840.4350.4510.3610.2371







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;Shimmer:DDA0.34760.380.3111
p-value(0)(0)(0)
status;MDVP:APQ0.36430.48630.3982
p-value(0)(0)(0)
status;MDVP:Jitter(%)0.27820.41440.3395
p-value(1e-04)(0)(0)
status;D20.34020.33560.2747
p-value(0)(0)(0)
status;RPDE0.30860.30920.2531
p-value(0)(0)(0)
MDVP:Fo(Hz);Shimmer:DDA-0.0947-0.1447-0.0911
p-value(0.1877)(0.0435)(0.0586)
MDVP:Fo(Hz);MDVP:APQ-0.0778-0.2285-0.1476
p-value(0.2798)(0.0013)(0.0022)
MDVP:Fo(Hz);MDVP:Jitter(%)-0.118-0.2697-0.1821
p-value(0.1004)(1e-04)(2e-04)
MDVP:Fo(Hz);D20.1780.25160.1694
p-value(0.0128)(4e-04)(4e-04)
MDVP:Fo(Hz);RPDE-0.3839-0.3739-0.2545
p-value(0)(0)(0)
Shimmer:DDA;MDVP:APQ0.89660.93810.791
p-value(0)(0)(0)
Shimmer:DDA;MDVP:Jitter(%)0.74660.69590.5157
p-value(0)(0)(0)
Shimmer:DDA;D20.46730.38930.2688
p-value(0)(0)(0)
Shimmer:DDA;RPDE0.43520.51060.3439
p-value(0)(0)(0)
MDVP:APQ;MDVP:Jitter(%)0.75830.73120.5473
p-value(0)(0)(0)
MDVP:APQ;D20.53690.43620.3028
p-value(0)(0)(0)
MDVP:APQ;RPDE0.45140.58940.409
p-value(0)(0)(0)
MDVP:Jitter(%);D20.43340.37390.2546
p-value(0)(0)(0)
MDVP:Jitter(%);RPDE0.36070.4780.33
p-value(0)(0)(0)
D2;RPDE0.23690.20050.1274
p-value(9e-04)(0.005)(0.0082)

\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;Shimmer:DDA & 0.3476 & 0.38 & 0.3111 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
status;MDVP:APQ & 0.3643 & 0.4863 & 0.3982 \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;D2 & 0.3402 & 0.3356 & 0.2747 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
status;RPDE & 0.3086 & 0.3092 & 0.2531 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Fo(Hz);Shimmer:DDA & -0.0947 & -0.1447 & -0.0911 \tabularnewline
p-value & (0.1877) & (0.0435) & (0.0586) \tabularnewline
MDVP:Fo(Hz);MDVP:APQ & -0.0778 & -0.2285 & -0.1476 \tabularnewline
p-value & (0.2798) & (0.0013) & (0.0022) \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);D2 & 0.178 & 0.2516 & 0.1694 \tabularnewline
p-value & (0.0128) & (4e-04) & (4e-04) \tabularnewline
MDVP:Fo(Hz);RPDE & -0.3839 & -0.3739 & -0.2545 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Shimmer:DDA;MDVP:APQ & 0.8966 & 0.9381 & 0.791 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Shimmer:DDA;MDVP:Jitter(%) & 0.7466 & 0.6959 & 0.5157 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Shimmer:DDA;D2 & 0.4673 & 0.3893 & 0.2688 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
Shimmer:DDA;RPDE & 0.4352 & 0.5106 & 0.3439 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:APQ;MDVP:Jitter(%) & 0.7583 & 0.7312 & 0.5473 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:APQ;D2 & 0.5369 & 0.4362 & 0.3028 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:APQ;RPDE & 0.4514 & 0.5894 & 0.409 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Jitter(%);D2 & 0.4334 & 0.3739 & 0.2546 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
MDVP:Jitter(%);RPDE & 0.3607 & 0.478 & 0.33 \tabularnewline
p-value & (0) & (0) & (0) \tabularnewline
D2;RPDE & 0.2369 & 0.2005 & 0.1274 \tabularnewline
p-value & (9e-04) & (0.005) & (0.0082) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231722&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;Shimmer:DDA[/C][C]0.3476[/C][C]0.38[/C][C]0.3111[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]status;MDVP:APQ[/C][C]0.3643[/C][C]0.4863[/C][C]0.3982[/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;D2[/C][C]0.3402[/C][C]0.3356[/C][C]0.2747[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/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]MDVP:Fo(Hz);Shimmer:DDA[/C][C]-0.0947[/C][C]-0.1447[/C][C]-0.0911[/C][/ROW]
[ROW][C]p-value[/C][C](0.1877)[/C][C](0.0435)[/C][C](0.0586)[/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: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);D2[/C][C]0.178[/C][C]0.2516[/C][C]0.1694[/C][/ROW]
[ROW][C]p-value[/C][C](0.0128)[/C][C](4e-04)[/C][C](4e-04)[/C][/ROW]
[ROW][C]MDVP:Fo(Hz);RPDE[/C][C]-0.3839[/C][C]-0.3739[/C][C]-0.2545[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Shimmer:DDA;MDVP:APQ[/C][C]0.8966[/C][C]0.9381[/C][C]0.791[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Shimmer:DDA;MDVP:Jitter(%)[/C][C]0.7466[/C][C]0.6959[/C][C]0.5157[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Shimmer:DDA;D2[/C][C]0.4673[/C][C]0.3893[/C][C]0.2688[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]Shimmer:DDA;RPDE[/C][C]0.4352[/C][C]0.5106[/C][C]0.3439[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:APQ;MDVP:Jitter(%)[/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:APQ;D2[/C][C]0.5369[/C][C]0.4362[/C][C]0.3028[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:APQ;RPDE[/C][C]0.4514[/C][C]0.5894[/C][C]0.409[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Jitter(%);D2[/C][C]0.4334[/C][C]0.3739[/C][C]0.2546[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]MDVP:Jitter(%);RPDE[/C][C]0.3607[/C][C]0.478[/C][C]0.33[/C][/ROW]
[ROW][C]p-value[/C][C](0)[/C][C](0)[/C][C](0)[/C][/ROW]
[ROW][C]D2;RPDE[/C][C]0.2369[/C][C]0.2005[/C][C]0.1274[/C][/ROW]
[ROW][C]p-value[/C][C](9e-04)[/C][C](0.005)[/C][C](0.0082)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231722&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231722&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;Shimmer:DDA0.34760.380.3111
p-value(0)(0)(0)
status;MDVP:APQ0.36430.48630.3982
p-value(0)(0)(0)
status;MDVP:Jitter(%)0.27820.41440.3395
p-value(1e-04)(0)(0)
status;D20.34020.33560.2747
p-value(0)(0)(0)
status;RPDE0.30860.30920.2531
p-value(0)(0)(0)
MDVP:Fo(Hz);Shimmer:DDA-0.0947-0.1447-0.0911
p-value(0.1877)(0.0435)(0.0586)
MDVP:Fo(Hz);MDVP:APQ-0.0778-0.2285-0.1476
p-value(0.2798)(0.0013)(0.0022)
MDVP:Fo(Hz);MDVP:Jitter(%)-0.118-0.2697-0.1821
p-value(0.1004)(1e-04)(2e-04)
MDVP:Fo(Hz);D20.1780.25160.1694
p-value(0.0128)(4e-04)(4e-04)
MDVP:Fo(Hz);RPDE-0.3839-0.3739-0.2545
p-value(0)(0)(0)
Shimmer:DDA;MDVP:APQ0.89660.93810.791
p-value(0)(0)(0)
Shimmer:DDA;MDVP:Jitter(%)0.74660.69590.5157
p-value(0)(0)(0)
Shimmer:DDA;D20.46730.38930.2688
p-value(0)(0)(0)
Shimmer:DDA;RPDE0.43520.51060.3439
p-value(0)(0)(0)
MDVP:APQ;MDVP:Jitter(%)0.75830.73120.5473
p-value(0)(0)(0)
MDVP:APQ;D20.53690.43620.3028
p-value(0)(0)(0)
MDVP:APQ;RPDE0.45140.58940.409
p-value(0)(0)(0)
MDVP:Jitter(%);D20.43340.37390.2546
p-value(0)(0)(0)
MDVP:Jitter(%);RPDE0.36070.4780.33
p-value(0)(0)(0)
D2;RPDE0.23690.20050.1274
p-value(9e-04)(0.005)(0.0082)







Meta Analysis of Correlation Tests
Number of significant by total number of Correlations
Type I errorPearson rSpearman rhoKendall tau
0.010.810.950.95
0.020.860.950.95
0.030.860.950.95
0.040.860.950.95
0.050.8610.95
0.060.8611
0.070.8611
0.080.8611
0.090.8611
0.10.8611

\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 & 0.81 & 0.95 & 0.95 \tabularnewline
0.02 & 0.86 & 0.95 & 0.95 \tabularnewline
0.03 & 0.86 & 0.95 & 0.95 \tabularnewline
0.04 & 0.86 & 0.95 & 0.95 \tabularnewline
0.05 & 0.86 & 1 & 0.95 \tabularnewline
0.06 & 0.86 & 1 & 1 \tabularnewline
0.07 & 0.86 & 1 & 1 \tabularnewline
0.08 & 0.86 & 1 & 1 \tabularnewline
0.09 & 0.86 & 1 & 1 \tabularnewline
0.1 & 0.86 & 1 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=231722&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]0.81[/C][C]0.95[/C][C]0.95[/C][/ROW]
[ROW][C]0.02[/C][C]0.86[/C][C]0.95[/C][C]0.95[/C][/ROW]
[ROW][C]0.03[/C][C]0.86[/C][C]0.95[/C][C]0.95[/C][/ROW]
[ROW][C]0.04[/C][C]0.86[/C][C]0.95[/C][C]0.95[/C][/ROW]
[ROW][C]0.05[/C][C]0.86[/C][C]1[/C][C]0.95[/C][/ROW]
[ROW][C]0.06[/C][C]0.86[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.07[/C][C]0.86[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.08[/C][C]0.86[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.09[/C][C]0.86[/C][C]1[/C][C]1[/C][/ROW]
[ROW][C]0.1[/C][C]0.86[/C][C]1[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=231722&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=231722&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
0.010.810.950.95
0.020.860.950.95
0.030.860.950.95
0.040.860.950.95
0.050.8610.95
0.060.8611
0.070.8611
0.080.8611
0.090.8611
0.10.8611



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')