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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Aug 2011 17:31:34 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Aug/19/t1313789583gmrcj64ajpwpde1.htm/, Retrieved Tue, 14 May 2024 08:52:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=124201, Retrieved Tue, 14 May 2024 08:52:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact213

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [parishes by popul...] [2011-08-19 21:31:34] [d3cd47e8a5f4a09694a7865c4ea5f619] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3080
2503
2054
2415
2748
1218
1056
1768
1436
1837
1098
902
627
607
643
634
744
917
740
509
872
481
390
359
375
213
287
230
183
155

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=124201&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]1 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=124201&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=124201&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01158.17292555529827.1616286445135
0.02162.98678664433127.6503360401753
0.03169.18865077178328.7997538028106
0.04176.47895278909530.7528452164207
0.05184.59249854401933.5135382401552
0.06193.33654968338936.9988443186538
0.07202.59493440137941.0840872433825
0.08212.3121306146745.6165900438867
0.09222.46993131236950.4171688034253
0.1233.06531802154355.2887910862362
0.11244.09401098495160.0364862434442
0.12255.54098874816364.4902118679327
0.13267.3773161725968.5261426968316
0.14279.56168026208972.0795174553428
0.15292.04477874307475.1478475561623
0.16304.77485051817377.7840266799153
0.17317.70298139815280.0828345840086
0.18330.78724046196982.1611196813162
0.19343.99512848850484.1369029987605
0.2357.30420382253186.1083178256647
0.21370.70106225068888.1396467507432
0.22384.17906753953790.2527068822297
0.23397.73535152132992.4273656358782
0.24411.36763170685194.6073776547127
0.25425.07134478419496.7129052176114
0.26438.83748711382398.653962075929
0.27452.651412469955100.341786457875
0.28466.492686184424101.702687172724
0.29480.335953479531102.683625442757
0.3494.152662962091103.260535732874
0.31507.913403072727103.439792710535
0.32521.590563333212103.258453736281
0.33535.161022470439102.782653126054
0.34548.608587413881102.10237449369
0.35561.925954024501101.326215559499
0.36575.116024366698100.574628680096
0.37588.19248834688799.9698223736911
0.38601.17965209281699.6271412266393
0.39614.11156501262699.6475063918165
0.4627.0305568226100.106746265089
0.41639.985341187446101.053470221605
0.42653.0288716914102.504598414312
0.43666.216147819931104.447667080519
0.44679.60216398857106.844830415696
0.45693.240175080195109.639903524669
0.46707.180420052135112.767367002759
0.47721.469404214651116.158455550778
0.48736.149794380736119.751546275812
0.49751.26093290133123.496851932631
0.5766.839930032121127.360794908604
0.51782.923252025704131.334124687759
0.52799.548687021517135.428219247728
0.53816.757543664366139.680535808384
0.54834.596919119818144.151930975905
0.55853.121863840171148.924094912635
0.56872.397269709389154.095956431589
0.57892.499315525549159.777150639794
0.58913.51631871372166.083228938678
0.59935.548864532836173.12641479506
0.6958.709114051005181.006371913511
0.61983.119230309944189.803276449958
0.621008.90890889142199.567479924045
0.631036.21205459279210.31303814243
0.641065.1627091073222.010136127825
0.651095.89040277115234.580639115257
0.661128.51517163571247.895400007501
0.671163.14254195527261.775606610219
0.681199.85882810526275.997196500862
0.691238.72710622688290.297876014056
0.71279.78420429099304.389564594054
0.711323.03898238503317.974147202309
0.721368.47206300909330.762040595652
0.731416.03701637706342.489538697714
0.741465.6628266004352.935620066667
0.751517.25728811028361.939246878097
0.761570.71084332734369.403961595215
0.771625.900312131375.296447615352
0.781682.69201772173379.637532116488
0.791740.94400618695382.4803398258
0.81800.50739011979383.879501345794
0.811861.22729014389383.86613432005
0.821922.94433499227382.418001731276
0.831985.49810519323379.455573992717
0.842048.73412697042374.851480482462
0.852112.5158738764368.470772351719
0.862176.74252852757360.232109102578
0.872241.37180573274350.181401031677
0.882306.44477307275338.565142543423
0.892372.10624123252325.877304087891
0.92438.61007069776312.868194574605
0.912506.29426511837300.49784917659
0.922575.50745890732289.833935076794
0.932646.46908064138281.91852141781
0.942719.05420871377277.635707502497
0.952792.51578575233277.592164105638
0.962865.19479533203281.960602163042
0.972934.32082452908290.247604190566
0.982996.05702435537301.068581021395
0.993045.96396710106312.167728779935

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 158.172925555298 & 27.1616286445135 \tabularnewline
0.02 & 162.986786644331 & 27.6503360401753 \tabularnewline
0.03 & 169.188650771783 & 28.7997538028106 \tabularnewline
0.04 & 176.478952789095 & 30.7528452164207 \tabularnewline
0.05 & 184.592498544019 & 33.5135382401552 \tabularnewline
0.06 & 193.336549683389 & 36.9988443186538 \tabularnewline
0.07 & 202.594934401379 & 41.0840872433825 \tabularnewline
0.08 & 212.31213061467 & 45.6165900438867 \tabularnewline
0.09 & 222.469931312369 & 50.4171688034253 \tabularnewline
0.1 & 233.065318021543 & 55.2887910862362 \tabularnewline
0.11 & 244.094010984951 & 60.0364862434442 \tabularnewline
0.12 & 255.540988748163 & 64.4902118679327 \tabularnewline
0.13 & 267.37731617259 & 68.5261426968316 \tabularnewline
0.14 & 279.561680262089 & 72.0795174553428 \tabularnewline
0.15 & 292.044778743074 & 75.1478475561623 \tabularnewline
0.16 & 304.774850518173 & 77.7840266799153 \tabularnewline
0.17 & 317.702981398152 & 80.0828345840086 \tabularnewline
0.18 & 330.787240461969 & 82.1611196813162 \tabularnewline
0.19 & 343.995128488504 & 84.1369029987605 \tabularnewline
0.2 & 357.304203822531 & 86.1083178256647 \tabularnewline
0.21 & 370.701062250688 & 88.1396467507432 \tabularnewline
0.22 & 384.179067539537 & 90.2527068822297 \tabularnewline
0.23 & 397.735351521329 & 92.4273656358782 \tabularnewline
0.24 & 411.367631706851 & 94.6073776547127 \tabularnewline
0.25 & 425.071344784194 & 96.7129052176114 \tabularnewline
0.26 & 438.837487113823 & 98.653962075929 \tabularnewline
0.27 & 452.651412469955 & 100.341786457875 \tabularnewline
0.28 & 466.492686184424 & 101.702687172724 \tabularnewline
0.29 & 480.335953479531 & 102.683625442757 \tabularnewline
0.3 & 494.152662962091 & 103.260535732874 \tabularnewline
0.31 & 507.913403072727 & 103.439792710535 \tabularnewline
0.32 & 521.590563333212 & 103.258453736281 \tabularnewline
0.33 & 535.161022470439 & 102.782653126054 \tabularnewline
0.34 & 548.608587413881 & 102.10237449369 \tabularnewline
0.35 & 561.925954024501 & 101.326215559499 \tabularnewline
0.36 & 575.116024366698 & 100.574628680096 \tabularnewline
0.37 & 588.192488346887 & 99.9698223736911 \tabularnewline
0.38 & 601.179652092816 & 99.6271412266393 \tabularnewline
0.39 & 614.111565012626 & 99.6475063918165 \tabularnewline
0.4 & 627.0305568226 & 100.106746265089 \tabularnewline
0.41 & 639.985341187446 & 101.053470221605 \tabularnewline
0.42 & 653.0288716914 & 102.504598414312 \tabularnewline
0.43 & 666.216147819931 & 104.447667080519 \tabularnewline
0.44 & 679.60216398857 & 106.844830415696 \tabularnewline
0.45 & 693.240175080195 & 109.639903524669 \tabularnewline
0.46 & 707.180420052135 & 112.767367002759 \tabularnewline
0.47 & 721.469404214651 & 116.158455550778 \tabularnewline
0.48 & 736.149794380736 & 119.751546275812 \tabularnewline
0.49 & 751.26093290133 & 123.496851932631 \tabularnewline
0.5 & 766.839930032121 & 127.360794908604 \tabularnewline
0.51 & 782.923252025704 & 131.334124687759 \tabularnewline
0.52 & 799.548687021517 & 135.428219247728 \tabularnewline
0.53 & 816.757543664366 & 139.680535808384 \tabularnewline
0.54 & 834.596919119818 & 144.151930975905 \tabularnewline
0.55 & 853.121863840171 & 148.924094912635 \tabularnewline
0.56 & 872.397269709389 & 154.095956431589 \tabularnewline
0.57 & 892.499315525549 & 159.777150639794 \tabularnewline
0.58 & 913.51631871372 & 166.083228938678 \tabularnewline
0.59 & 935.548864532836 & 173.12641479506 \tabularnewline
0.6 & 958.709114051005 & 181.006371913511 \tabularnewline
0.61 & 983.119230309944 & 189.803276449958 \tabularnewline
0.62 & 1008.90890889142 & 199.567479924045 \tabularnewline
0.63 & 1036.21205459279 & 210.31303814243 \tabularnewline
0.64 & 1065.1627091073 & 222.010136127825 \tabularnewline
0.65 & 1095.89040277115 & 234.580639115257 \tabularnewline
0.66 & 1128.51517163571 & 247.895400007501 \tabularnewline
0.67 & 1163.14254195527 & 261.775606610219 \tabularnewline
0.68 & 1199.85882810526 & 275.997196500862 \tabularnewline
0.69 & 1238.72710622688 & 290.297876014056 \tabularnewline
0.7 & 1279.78420429099 & 304.389564594054 \tabularnewline
0.71 & 1323.03898238503 & 317.974147202309 \tabularnewline
0.72 & 1368.47206300909 & 330.762040595652 \tabularnewline
0.73 & 1416.03701637706 & 342.489538697714 \tabularnewline
0.74 & 1465.6628266004 & 352.935620066667 \tabularnewline
0.75 & 1517.25728811028 & 361.939246878097 \tabularnewline
0.76 & 1570.71084332734 & 369.403961595215 \tabularnewline
0.77 & 1625.900312131 & 375.296447615352 \tabularnewline
0.78 & 1682.69201772173 & 379.637532116488 \tabularnewline
0.79 & 1740.94400618695 & 382.4803398258 \tabularnewline
0.8 & 1800.50739011979 & 383.879501345794 \tabularnewline
0.81 & 1861.22729014389 & 383.86613432005 \tabularnewline
0.82 & 1922.94433499227 & 382.418001731276 \tabularnewline
0.83 & 1985.49810519323 & 379.455573992717 \tabularnewline
0.84 & 2048.73412697042 & 374.851480482462 \tabularnewline
0.85 & 2112.5158738764 & 368.470772351719 \tabularnewline
0.86 & 2176.74252852757 & 360.232109102578 \tabularnewline
0.87 & 2241.37180573274 & 350.181401031677 \tabularnewline
0.88 & 2306.44477307275 & 338.565142543423 \tabularnewline
0.89 & 2372.10624123252 & 325.877304087891 \tabularnewline
0.9 & 2438.61007069776 & 312.868194574605 \tabularnewline
0.91 & 2506.29426511837 & 300.49784917659 \tabularnewline
0.92 & 2575.50745890732 & 289.833935076794 \tabularnewline
0.93 & 2646.46908064138 & 281.91852141781 \tabularnewline
0.94 & 2719.05420871377 & 277.635707502497 \tabularnewline
0.95 & 2792.51578575233 & 277.592164105638 \tabularnewline
0.96 & 2865.19479533203 & 281.960602163042 \tabularnewline
0.97 & 2934.32082452908 & 290.247604190566 \tabularnewline
0.98 & 2996.05702435537 & 301.068581021395 \tabularnewline
0.99 & 3045.96396710106 & 312.167728779935 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=124201&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]158.172925555298[/C][C]27.1616286445135[/C][/ROW]
[ROW][C]0.02[/C][C]162.986786644331[/C][C]27.6503360401753[/C][/ROW]
[ROW][C]0.03[/C][C]169.188650771783[/C][C]28.7997538028106[/C][/ROW]
[ROW][C]0.04[/C][C]176.478952789095[/C][C]30.7528452164207[/C][/ROW]
[ROW][C]0.05[/C][C]184.592498544019[/C][C]33.5135382401552[/C][/ROW]
[ROW][C]0.06[/C][C]193.336549683389[/C][C]36.9988443186538[/C][/ROW]
[ROW][C]0.07[/C][C]202.594934401379[/C][C]41.0840872433825[/C][/ROW]
[ROW][C]0.08[/C][C]212.31213061467[/C][C]45.6165900438867[/C][/ROW]
[ROW][C]0.09[/C][C]222.469931312369[/C][C]50.4171688034253[/C][/ROW]
[ROW][C]0.1[/C][C]233.065318021543[/C][C]55.2887910862362[/C][/ROW]
[ROW][C]0.11[/C][C]244.094010984951[/C][C]60.0364862434442[/C][/ROW]
[ROW][C]0.12[/C][C]255.540988748163[/C][C]64.4902118679327[/C][/ROW]
[ROW][C]0.13[/C][C]267.37731617259[/C][C]68.5261426968316[/C][/ROW]
[ROW][C]0.14[/C][C]279.561680262089[/C][C]72.0795174553428[/C][/ROW]
[ROW][C]0.15[/C][C]292.044778743074[/C][C]75.1478475561623[/C][/ROW]
[ROW][C]0.16[/C][C]304.774850518173[/C][C]77.7840266799153[/C][/ROW]
[ROW][C]0.17[/C][C]317.702981398152[/C][C]80.0828345840086[/C][/ROW]
[ROW][C]0.18[/C][C]330.787240461969[/C][C]82.1611196813162[/C][/ROW]
[ROW][C]0.19[/C][C]343.995128488504[/C][C]84.1369029987605[/C][/ROW]
[ROW][C]0.2[/C][C]357.304203822531[/C][C]86.1083178256647[/C][/ROW]
[ROW][C]0.21[/C][C]370.701062250688[/C][C]88.1396467507432[/C][/ROW]
[ROW][C]0.22[/C][C]384.179067539537[/C][C]90.2527068822297[/C][/ROW]
[ROW][C]0.23[/C][C]397.735351521329[/C][C]92.4273656358782[/C][/ROW]
[ROW][C]0.24[/C][C]411.367631706851[/C][C]94.6073776547127[/C][/ROW]
[ROW][C]0.25[/C][C]425.071344784194[/C][C]96.7129052176114[/C][/ROW]
[ROW][C]0.26[/C][C]438.837487113823[/C][C]98.653962075929[/C][/ROW]
[ROW][C]0.27[/C][C]452.651412469955[/C][C]100.341786457875[/C][/ROW]
[ROW][C]0.28[/C][C]466.492686184424[/C][C]101.702687172724[/C][/ROW]
[ROW][C]0.29[/C][C]480.335953479531[/C][C]102.683625442757[/C][/ROW]
[ROW][C]0.3[/C][C]494.152662962091[/C][C]103.260535732874[/C][/ROW]
[ROW][C]0.31[/C][C]507.913403072727[/C][C]103.439792710535[/C][/ROW]
[ROW][C]0.32[/C][C]521.590563333212[/C][C]103.258453736281[/C][/ROW]
[ROW][C]0.33[/C][C]535.161022470439[/C][C]102.782653126054[/C][/ROW]
[ROW][C]0.34[/C][C]548.608587413881[/C][C]102.10237449369[/C][/ROW]
[ROW][C]0.35[/C][C]561.925954024501[/C][C]101.326215559499[/C][/ROW]
[ROW][C]0.36[/C][C]575.116024366698[/C][C]100.574628680096[/C][/ROW]
[ROW][C]0.37[/C][C]588.192488346887[/C][C]99.9698223736911[/C][/ROW]
[ROW][C]0.38[/C][C]601.179652092816[/C][C]99.6271412266393[/C][/ROW]
[ROW][C]0.39[/C][C]614.111565012626[/C][C]99.6475063918165[/C][/ROW]
[ROW][C]0.4[/C][C]627.0305568226[/C][C]100.106746265089[/C][/ROW]
[ROW][C]0.41[/C][C]639.985341187446[/C][C]101.053470221605[/C][/ROW]
[ROW][C]0.42[/C][C]653.0288716914[/C][C]102.504598414312[/C][/ROW]
[ROW][C]0.43[/C][C]666.216147819931[/C][C]104.447667080519[/C][/ROW]
[ROW][C]0.44[/C][C]679.60216398857[/C][C]106.844830415696[/C][/ROW]
[ROW][C]0.45[/C][C]693.240175080195[/C][C]109.639903524669[/C][/ROW]
[ROW][C]0.46[/C][C]707.180420052135[/C][C]112.767367002759[/C][/ROW]
[ROW][C]0.47[/C][C]721.469404214651[/C][C]116.158455550778[/C][/ROW]
[ROW][C]0.48[/C][C]736.149794380736[/C][C]119.751546275812[/C][/ROW]
[ROW][C]0.49[/C][C]751.26093290133[/C][C]123.496851932631[/C][/ROW]
[ROW][C]0.5[/C][C]766.839930032121[/C][C]127.360794908604[/C][/ROW]
[ROW][C]0.51[/C][C]782.923252025704[/C][C]131.334124687759[/C][/ROW]
[ROW][C]0.52[/C][C]799.548687021517[/C][C]135.428219247728[/C][/ROW]
[ROW][C]0.53[/C][C]816.757543664366[/C][C]139.680535808384[/C][/ROW]
[ROW][C]0.54[/C][C]834.596919119818[/C][C]144.151930975905[/C][/ROW]
[ROW][C]0.55[/C][C]853.121863840171[/C][C]148.924094912635[/C][/ROW]
[ROW][C]0.56[/C][C]872.397269709389[/C][C]154.095956431589[/C][/ROW]
[ROW][C]0.57[/C][C]892.499315525549[/C][C]159.777150639794[/C][/ROW]
[ROW][C]0.58[/C][C]913.51631871372[/C][C]166.083228938678[/C][/ROW]
[ROW][C]0.59[/C][C]935.548864532836[/C][C]173.12641479506[/C][/ROW]
[ROW][C]0.6[/C][C]958.709114051005[/C][C]181.006371913511[/C][/ROW]
[ROW][C]0.61[/C][C]983.119230309944[/C][C]189.803276449958[/C][/ROW]
[ROW][C]0.62[/C][C]1008.90890889142[/C][C]199.567479924045[/C][/ROW]
[ROW][C]0.63[/C][C]1036.21205459279[/C][C]210.31303814243[/C][/ROW]
[ROW][C]0.64[/C][C]1065.1627091073[/C][C]222.010136127825[/C][/ROW]
[ROW][C]0.65[/C][C]1095.89040277115[/C][C]234.580639115257[/C][/ROW]
[ROW][C]0.66[/C][C]1128.51517163571[/C][C]247.895400007501[/C][/ROW]
[ROW][C]0.67[/C][C]1163.14254195527[/C][C]261.775606610219[/C][/ROW]
[ROW][C]0.68[/C][C]1199.85882810526[/C][C]275.997196500862[/C][/ROW]
[ROW][C]0.69[/C][C]1238.72710622688[/C][C]290.297876014056[/C][/ROW]
[ROW][C]0.7[/C][C]1279.78420429099[/C][C]304.389564594054[/C][/ROW]
[ROW][C]0.71[/C][C]1323.03898238503[/C][C]317.974147202309[/C][/ROW]
[ROW][C]0.72[/C][C]1368.47206300909[/C][C]330.762040595652[/C][/ROW]
[ROW][C]0.73[/C][C]1416.03701637706[/C][C]342.489538697714[/C][/ROW]
[ROW][C]0.74[/C][C]1465.6628266004[/C][C]352.935620066667[/C][/ROW]
[ROW][C]0.75[/C][C]1517.25728811028[/C][C]361.939246878097[/C][/ROW]
[ROW][C]0.76[/C][C]1570.71084332734[/C][C]369.403961595215[/C][/ROW]
[ROW][C]0.77[/C][C]1625.900312131[/C][C]375.296447615352[/C][/ROW]
[ROW][C]0.78[/C][C]1682.69201772173[/C][C]379.637532116488[/C][/ROW]
[ROW][C]0.79[/C][C]1740.94400618695[/C][C]382.4803398258[/C][/ROW]
[ROW][C]0.8[/C][C]1800.50739011979[/C][C]383.879501345794[/C][/ROW]
[ROW][C]0.81[/C][C]1861.22729014389[/C][C]383.86613432005[/C][/ROW]
[ROW][C]0.82[/C][C]1922.94433499227[/C][C]382.418001731276[/C][/ROW]
[ROW][C]0.83[/C][C]1985.49810519323[/C][C]379.455573992717[/C][/ROW]
[ROW][C]0.84[/C][C]2048.73412697042[/C][C]374.851480482462[/C][/ROW]
[ROW][C]0.85[/C][C]2112.5158738764[/C][C]368.470772351719[/C][/ROW]
[ROW][C]0.86[/C][C]2176.74252852757[/C][C]360.232109102578[/C][/ROW]
[ROW][C]0.87[/C][C]2241.37180573274[/C][C]350.181401031677[/C][/ROW]
[ROW][C]0.88[/C][C]2306.44477307275[/C][C]338.565142543423[/C][/ROW]
[ROW][C]0.89[/C][C]2372.10624123252[/C][C]325.877304087891[/C][/ROW]
[ROW][C]0.9[/C][C]2438.61007069776[/C][C]312.868194574605[/C][/ROW]
[ROW][C]0.91[/C][C]2506.29426511837[/C][C]300.49784917659[/C][/ROW]
[ROW][C]0.92[/C][C]2575.50745890732[/C][C]289.833935076794[/C][/ROW]
[ROW][C]0.93[/C][C]2646.46908064138[/C][C]281.91852141781[/C][/ROW]
[ROW][C]0.94[/C][C]2719.05420871377[/C][C]277.635707502497[/C][/ROW]
[ROW][C]0.95[/C][C]2792.51578575233[/C][C]277.592164105638[/C][/ROW]
[ROW][C]0.96[/C][C]2865.19479533203[/C][C]281.960602163042[/C][/ROW]
[ROW][C]0.97[/C][C]2934.32082452908[/C][C]290.247604190566[/C][/ROW]
[ROW][C]0.98[/C][C]2996.05702435537[/C][C]301.068581021395[/C][/ROW]
[ROW][C]0.99[/C][C]3045.96396710106[/C][C]312.167728779935[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=124201&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=124201&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01158.17292555529827.1616286445135
0.02162.98678664433127.6503360401753
0.03169.18865077178328.7997538028106
0.04176.47895278909530.7528452164207
0.05184.59249854401933.5135382401552
0.06193.33654968338936.9988443186538
0.07202.59493440137941.0840872433825
0.08212.3121306146745.6165900438867
0.09222.46993131236950.4171688034253
0.1233.06531802154355.2887910862362
0.11244.09401098495160.0364862434442
0.12255.54098874816364.4902118679327
0.13267.3773161725968.5261426968316
0.14279.56168026208972.0795174553428
0.15292.04477874307475.1478475561623
0.16304.77485051817377.7840266799153
0.17317.70298139815280.0828345840086
0.18330.78724046196982.1611196813162
0.19343.99512848850484.1369029987605
0.2357.30420382253186.1083178256647
0.21370.70106225068888.1396467507432
0.22384.17906753953790.2527068822297
0.23397.73535152132992.4273656358782
0.24411.36763170685194.6073776547127
0.25425.07134478419496.7129052176114
0.26438.83748711382398.653962075929
0.27452.651412469955100.341786457875
0.28466.492686184424101.702687172724
0.29480.335953479531102.683625442757
0.3494.152662962091103.260535732874
0.31507.913403072727103.439792710535
0.32521.590563333212103.258453736281
0.33535.161022470439102.782653126054
0.34548.608587413881102.10237449369
0.35561.925954024501101.326215559499
0.36575.116024366698100.574628680096
0.37588.19248834688799.9698223736911
0.38601.17965209281699.6271412266393
0.39614.11156501262699.6475063918165
0.4627.0305568226100.106746265089
0.41639.985341187446101.053470221605
0.42653.0288716914102.504598414312
0.43666.216147819931104.447667080519
0.44679.60216398857106.844830415696
0.45693.240175080195109.639903524669
0.46707.180420052135112.767367002759
0.47721.469404214651116.158455550778
0.48736.149794380736119.751546275812
0.49751.26093290133123.496851932631
0.5766.839930032121127.360794908604
0.51782.923252025704131.334124687759
0.52799.548687021517135.428219247728
0.53816.757543664366139.680535808384
0.54834.596919119818144.151930975905
0.55853.121863840171148.924094912635
0.56872.397269709389154.095956431589
0.57892.499315525549159.777150639794
0.58913.51631871372166.083228938678
0.59935.548864532836173.12641479506
0.6958.709114051005181.006371913511
0.61983.119230309944189.803276449958
0.621008.90890889142199.567479924045
0.631036.21205459279210.31303814243
0.641065.1627091073222.010136127825
0.651095.89040277115234.580639115257
0.661128.51517163571247.895400007501
0.671163.14254195527261.775606610219
0.681199.85882810526275.997196500862
0.691238.72710622688290.297876014056
0.71279.78420429099304.389564594054
0.711323.03898238503317.974147202309
0.721368.47206300909330.762040595652
0.731416.03701637706342.489538697714
0.741465.6628266004352.935620066667
0.751517.25728811028361.939246878097
0.761570.71084332734369.403961595215
0.771625.900312131375.296447615352
0.781682.69201772173379.637532116488
0.791740.94400618695382.4803398258
0.81800.50739011979383.879501345794
0.811861.22729014389383.86613432005
0.821922.94433499227382.418001731276
0.831985.49810519323379.455573992717
0.842048.73412697042374.851480482462
0.852112.5158738764368.470772351719
0.862176.74252852757360.232109102578
0.872241.37180573274350.181401031677
0.882306.44477307275338.565142543423
0.892372.10624123252325.877304087891
0.92438.61007069776312.868194574605
0.912506.29426511837300.49784917659
0.922575.50745890732289.833935076794
0.932646.46908064138281.91852141781
0.942719.05420871377277.635707502497
0.952792.51578575233277.592164105638
0.962865.19479533203281.960602163042
0.972934.32082452908290.247604190566
0.982996.05702435537301.068581021395
0.993045.96396710106312.167728779935


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')