FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 02 Mar 2008 09:00:46 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t1204473952c1g43sb0wpx4zni.htm/, Retrieved Mon, 06 May 2024 21:50:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9586, Retrieved Mon, 06 May 2024 21:50:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

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] [] [2008-03-02 16:00:46] [15ccabfe3b960eee2f000db554701399] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
138463
138529
138421
138674
138848
139174
139565
139585
139500
139756
140245
140138
140224
140354
140563
141244
141597
141708
142055
142457
142429
142613
142564
142778
143086
143362
143619
143791
144088
144369
144295
144671
144846
145395
145583
145949
145915
145888
146145
145713
145913
146087
146045
145753
146260
146016
146647
146211
146248

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9586&T=0

[TABLE]
[ROW][C]Summary of compuational 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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9586&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9586&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01138433.26641232850.3779930355888
0.02138456.36116932473.4076467829187
0.03138490.568278294109.382930217657
0.04138535.94752405154.042581137637
0.05138592.452406263202.920423869021
0.06138659.683128767252.192746936293
0.07138736.665449459297.895733995732
0.08138821.815844350336.823819997250
0.09138913.085474407366.782258845938
0.1139008.211459704386.867217867066
0.11139104.998352700397.513440750087
0.12139201.567204102400.894128166672
0.13139296.529783414399.425581146076
0.14139389.068170595396.19031812504
0.15139478.922538232393.70563647067
0.16139566.308249710394.423194253837
0.17139651.793486905399.116053902418
0.18139736.169079814408.182298603577
0.19139820.334692330421.953332273791
0.2139905.213777796439.616646495634
0.21139991.698000128461.671608167825
0.22140080.613423298487.871672515489
0.23140172.697277470517.918537497449
0.24140268.575304373551.39629008256
0.25140368.734065690587.656403817489
0.26140473.488111114625.315696572683
0.27140582.946643415662.935475017735
0.28140696.987016834698.755319622394
0.29140815.242615675730.728580452973
0.3140937.110682594757.53897272848
0.31141061.782297758777.493058172753
0.32141188.292931523790.187265085347
0.33141315.588689268795.104462315643
0.34141442.601141541792.450322081203
0.35141568.322739981783.07177040247
0.36141691.875196015767.988269632118
0.37141812.564560280748.579490487976
0.38141929.918700373726.89542684987
0.39142043.705051469704.059813992013
0.4142153.928602590682.260411294898
0.41142260.811878153662.617774942125
0.42142364.760074271646.597093346801
0.43142466.315476951634.798648457694
0.44142566.105828501628.066779845787
0.45142664.791438233625.930026938291
0.46142763.015577467628.091741249632
0.47142861.36208671633.773633126108
0.48142960.323199478642.26407092291
0.49143060.279421771652.149815132651
0.5143161.491996120662.843851717592
0.51143264.107146627673.443392529382
0.52143368.170081481683.173256602648
0.53143473.645753891691.607258742676
0.54143580.442762131698.554422185855
0.55143688.436579735704.057844588998
0.56143797.488577232708.246892663911
0.57143907.458005771711.190038926952
0.58144018.205188961713.265444519398
0.59144129.585494913714.430168321785
0.6144241.435082087714.692250593016
0.61144353.550752828713.946212508945
0.62144465.667325147711.424261066428
0.63144577.436581382706.909361139087
0.64144688.411950022699.311087542152
0.65144798.042570148688.048763107594
0.66144905.679309200672.41290929348
0.67145010.593779468651.693387860648
0.68145112.009634735625.923782757435
0.69145209.143687237594.825402723997
0.7145301.252938113558.935025193508
0.71145387.682692656519.013664185873
0.72145467.910680148476.168243528993
0.73145541.582546879431.401135340073
0.74145608.535150920386.2532044818
0.75145668.805571847341.901848823368
0.76145722.625416188299.593235127876
0.77145770.401603372260.437073152290
0.78145812.686149348225.273260933997
0.79145850.138382074194.645259776342
0.8145883.483450049168.766433613713
0.81145913.470905664147.6100597241
0.82145940.836590757131.140764324752
0.83145966.270104694118.813101069432
0.84145990.388959358109.965707508678
0.85146013.719423490103.906795633923
0.86146036.68355188199.8886058457426
0.87146059.59279992497.2328586160196
0.88146082.65207488495.2234968350238
0.89146105.98531169893.3480259784942
0.9146129.70513778090.8895882804142
0.91146154.06213228287.6576898753534
0.92146179.71258502883.9138530764137
0.93146208.11138870980.9268261874082
0.94146241.92562299282.4815252779823
0.95146285.13713200295.5153457926409
0.96146342.205588938127.570291745704
0.97146415.568875904181.411845440359
0.98146501.452798318252.069400464353
0.99146586.044223144325.245275947013

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 138433.266412328 & 50.3779930355888 \tabularnewline
0.02 & 138456.361169324 & 73.4076467829187 \tabularnewline
0.03 & 138490.568278294 & 109.382930217657 \tabularnewline
0.04 & 138535.94752405 & 154.042581137637 \tabularnewline
0.05 & 138592.452406263 & 202.920423869021 \tabularnewline
0.06 & 138659.683128767 & 252.192746936293 \tabularnewline
0.07 & 138736.665449459 & 297.895733995732 \tabularnewline
0.08 & 138821.815844350 & 336.823819997250 \tabularnewline
0.09 & 138913.085474407 & 366.782258845938 \tabularnewline
0.1 & 139008.211459704 & 386.867217867066 \tabularnewline
0.11 & 139104.998352700 & 397.513440750087 \tabularnewline
0.12 & 139201.567204102 & 400.894128166672 \tabularnewline
0.13 & 139296.529783414 & 399.425581146076 \tabularnewline
0.14 & 139389.068170595 & 396.19031812504 \tabularnewline
0.15 & 139478.922538232 & 393.70563647067 \tabularnewline
0.16 & 139566.308249710 & 394.423194253837 \tabularnewline
0.17 & 139651.793486905 & 399.116053902418 \tabularnewline
0.18 & 139736.169079814 & 408.182298603577 \tabularnewline
0.19 & 139820.334692330 & 421.953332273791 \tabularnewline
0.2 & 139905.213777796 & 439.616646495634 \tabularnewline
0.21 & 139991.698000128 & 461.671608167825 \tabularnewline
0.22 & 140080.613423298 & 487.871672515489 \tabularnewline
0.23 & 140172.697277470 & 517.918537497449 \tabularnewline
0.24 & 140268.575304373 & 551.39629008256 \tabularnewline
0.25 & 140368.734065690 & 587.656403817489 \tabularnewline
0.26 & 140473.488111114 & 625.315696572683 \tabularnewline
0.27 & 140582.946643415 & 662.935475017735 \tabularnewline
0.28 & 140696.987016834 & 698.755319622394 \tabularnewline
0.29 & 140815.242615675 & 730.728580452973 \tabularnewline
0.3 & 140937.110682594 & 757.53897272848 \tabularnewline
0.31 & 141061.782297758 & 777.493058172753 \tabularnewline
0.32 & 141188.292931523 & 790.187265085347 \tabularnewline
0.33 & 141315.588689268 & 795.104462315643 \tabularnewline
0.34 & 141442.601141541 & 792.450322081203 \tabularnewline
0.35 & 141568.322739981 & 783.07177040247 \tabularnewline
0.36 & 141691.875196015 & 767.988269632118 \tabularnewline
0.37 & 141812.564560280 & 748.579490487976 \tabularnewline
0.38 & 141929.918700373 & 726.89542684987 \tabularnewline
0.39 & 142043.705051469 & 704.059813992013 \tabularnewline
0.4 & 142153.928602590 & 682.260411294898 \tabularnewline
0.41 & 142260.811878153 & 662.617774942125 \tabularnewline
0.42 & 142364.760074271 & 646.597093346801 \tabularnewline
0.43 & 142466.315476951 & 634.798648457694 \tabularnewline
0.44 & 142566.105828501 & 628.066779845787 \tabularnewline
0.45 & 142664.791438233 & 625.930026938291 \tabularnewline
0.46 & 142763.015577467 & 628.091741249632 \tabularnewline
0.47 & 142861.36208671 & 633.773633126108 \tabularnewline
0.48 & 142960.323199478 & 642.26407092291 \tabularnewline
0.49 & 143060.279421771 & 652.149815132651 \tabularnewline
0.5 & 143161.491996120 & 662.843851717592 \tabularnewline
0.51 & 143264.107146627 & 673.443392529382 \tabularnewline
0.52 & 143368.170081481 & 683.173256602648 \tabularnewline
0.53 & 143473.645753891 & 691.607258742676 \tabularnewline
0.54 & 143580.442762131 & 698.554422185855 \tabularnewline
0.55 & 143688.436579735 & 704.057844588998 \tabularnewline
0.56 & 143797.488577232 & 708.246892663911 \tabularnewline
0.57 & 143907.458005771 & 711.190038926952 \tabularnewline
0.58 & 144018.205188961 & 713.265444519398 \tabularnewline
0.59 & 144129.585494913 & 714.430168321785 \tabularnewline
0.6 & 144241.435082087 & 714.692250593016 \tabularnewline
0.61 & 144353.550752828 & 713.946212508945 \tabularnewline
0.62 & 144465.667325147 & 711.424261066428 \tabularnewline
0.63 & 144577.436581382 & 706.909361139087 \tabularnewline
0.64 & 144688.411950022 & 699.311087542152 \tabularnewline
0.65 & 144798.042570148 & 688.048763107594 \tabularnewline
0.66 & 144905.679309200 & 672.41290929348 \tabularnewline
0.67 & 145010.593779468 & 651.693387860648 \tabularnewline
0.68 & 145112.009634735 & 625.923782757435 \tabularnewline
0.69 & 145209.143687237 & 594.825402723997 \tabularnewline
0.7 & 145301.252938113 & 558.935025193508 \tabularnewline
0.71 & 145387.682692656 & 519.013664185873 \tabularnewline
0.72 & 145467.910680148 & 476.168243528993 \tabularnewline
0.73 & 145541.582546879 & 431.401135340073 \tabularnewline
0.74 & 145608.535150920 & 386.2532044818 \tabularnewline
0.75 & 145668.805571847 & 341.901848823368 \tabularnewline
0.76 & 145722.625416188 & 299.593235127876 \tabularnewline
0.77 & 145770.401603372 & 260.437073152290 \tabularnewline
0.78 & 145812.686149348 & 225.273260933997 \tabularnewline
0.79 & 145850.138382074 & 194.645259776342 \tabularnewline
0.8 & 145883.483450049 & 168.766433613713 \tabularnewline
0.81 & 145913.470905664 & 147.6100597241 \tabularnewline
0.82 & 145940.836590757 & 131.140764324752 \tabularnewline
0.83 & 145966.270104694 & 118.813101069432 \tabularnewline
0.84 & 145990.388959358 & 109.965707508678 \tabularnewline
0.85 & 146013.719423490 & 103.906795633923 \tabularnewline
0.86 & 146036.683551881 & 99.8886058457426 \tabularnewline
0.87 & 146059.592799924 & 97.2328586160196 \tabularnewline
0.88 & 146082.652074884 & 95.2234968350238 \tabularnewline
0.89 & 146105.985311698 & 93.3480259784942 \tabularnewline
0.9 & 146129.705137780 & 90.8895882804142 \tabularnewline
0.91 & 146154.062132282 & 87.6576898753534 \tabularnewline
0.92 & 146179.712585028 & 83.9138530764137 \tabularnewline
0.93 & 146208.111388709 & 80.9268261874082 \tabularnewline
0.94 & 146241.925622992 & 82.4815252779823 \tabularnewline
0.95 & 146285.137132002 & 95.5153457926409 \tabularnewline
0.96 & 146342.205588938 & 127.570291745704 \tabularnewline
0.97 & 146415.568875904 & 181.411845440359 \tabularnewline
0.98 & 146501.452798318 & 252.069400464353 \tabularnewline
0.99 & 146586.044223144 & 325.245275947013 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9586&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]138433.266412328[/C][C]50.3779930355888[/C][/ROW]
[ROW][C]0.02[/C][C]138456.361169324[/C][C]73.4076467829187[/C][/ROW]
[ROW][C]0.03[/C][C]138490.568278294[/C][C]109.382930217657[/C][/ROW]
[ROW][C]0.04[/C][C]138535.94752405[/C][C]154.042581137637[/C][/ROW]
[ROW][C]0.05[/C][C]138592.452406263[/C][C]202.920423869021[/C][/ROW]
[ROW][C]0.06[/C][C]138659.683128767[/C][C]252.192746936293[/C][/ROW]
[ROW][C]0.07[/C][C]138736.665449459[/C][C]297.895733995732[/C][/ROW]
[ROW][C]0.08[/C][C]138821.815844350[/C][C]336.823819997250[/C][/ROW]
[ROW][C]0.09[/C][C]138913.085474407[/C][C]366.782258845938[/C][/ROW]
[ROW][C]0.1[/C][C]139008.211459704[/C][C]386.867217867066[/C][/ROW]
[ROW][C]0.11[/C][C]139104.998352700[/C][C]397.513440750087[/C][/ROW]
[ROW][C]0.12[/C][C]139201.567204102[/C][C]400.894128166672[/C][/ROW]
[ROW][C]0.13[/C][C]139296.529783414[/C][C]399.425581146076[/C][/ROW]
[ROW][C]0.14[/C][C]139389.068170595[/C][C]396.19031812504[/C][/ROW]
[ROW][C]0.15[/C][C]139478.922538232[/C][C]393.70563647067[/C][/ROW]
[ROW][C]0.16[/C][C]139566.308249710[/C][C]394.423194253837[/C][/ROW]
[ROW][C]0.17[/C][C]139651.793486905[/C][C]399.116053902418[/C][/ROW]
[ROW][C]0.18[/C][C]139736.169079814[/C][C]408.182298603577[/C][/ROW]
[ROW][C]0.19[/C][C]139820.334692330[/C][C]421.953332273791[/C][/ROW]
[ROW][C]0.2[/C][C]139905.213777796[/C][C]439.616646495634[/C][/ROW]
[ROW][C]0.21[/C][C]139991.698000128[/C][C]461.671608167825[/C][/ROW]
[ROW][C]0.22[/C][C]140080.613423298[/C][C]487.871672515489[/C][/ROW]
[ROW][C]0.23[/C][C]140172.697277470[/C][C]517.918537497449[/C][/ROW]
[ROW][C]0.24[/C][C]140268.575304373[/C][C]551.39629008256[/C][/ROW]
[ROW][C]0.25[/C][C]140368.734065690[/C][C]587.656403817489[/C][/ROW]
[ROW][C]0.26[/C][C]140473.488111114[/C][C]625.315696572683[/C][/ROW]
[ROW][C]0.27[/C][C]140582.946643415[/C][C]662.935475017735[/C][/ROW]
[ROW][C]0.28[/C][C]140696.987016834[/C][C]698.755319622394[/C][/ROW]
[ROW][C]0.29[/C][C]140815.242615675[/C][C]730.728580452973[/C][/ROW]
[ROW][C]0.3[/C][C]140937.110682594[/C][C]757.53897272848[/C][/ROW]
[ROW][C]0.31[/C][C]141061.782297758[/C][C]777.493058172753[/C][/ROW]
[ROW][C]0.32[/C][C]141188.292931523[/C][C]790.187265085347[/C][/ROW]
[ROW][C]0.33[/C][C]141315.588689268[/C][C]795.104462315643[/C][/ROW]
[ROW][C]0.34[/C][C]141442.601141541[/C][C]792.450322081203[/C][/ROW]
[ROW][C]0.35[/C][C]141568.322739981[/C][C]783.07177040247[/C][/ROW]
[ROW][C]0.36[/C][C]141691.875196015[/C][C]767.988269632118[/C][/ROW]
[ROW][C]0.37[/C][C]141812.564560280[/C][C]748.579490487976[/C][/ROW]
[ROW][C]0.38[/C][C]141929.918700373[/C][C]726.89542684987[/C][/ROW]
[ROW][C]0.39[/C][C]142043.705051469[/C][C]704.059813992013[/C][/ROW]
[ROW][C]0.4[/C][C]142153.928602590[/C][C]682.260411294898[/C][/ROW]
[ROW][C]0.41[/C][C]142260.811878153[/C][C]662.617774942125[/C][/ROW]
[ROW][C]0.42[/C][C]142364.760074271[/C][C]646.597093346801[/C][/ROW]
[ROW][C]0.43[/C][C]142466.315476951[/C][C]634.798648457694[/C][/ROW]
[ROW][C]0.44[/C][C]142566.105828501[/C][C]628.066779845787[/C][/ROW]
[ROW][C]0.45[/C][C]142664.791438233[/C][C]625.930026938291[/C][/ROW]
[ROW][C]0.46[/C][C]142763.015577467[/C][C]628.091741249632[/C][/ROW]
[ROW][C]0.47[/C][C]142861.36208671[/C][C]633.773633126108[/C][/ROW]
[ROW][C]0.48[/C][C]142960.323199478[/C][C]642.26407092291[/C][/ROW]
[ROW][C]0.49[/C][C]143060.279421771[/C][C]652.149815132651[/C][/ROW]
[ROW][C]0.5[/C][C]143161.491996120[/C][C]662.843851717592[/C][/ROW]
[ROW][C]0.51[/C][C]143264.107146627[/C][C]673.443392529382[/C][/ROW]
[ROW][C]0.52[/C][C]143368.170081481[/C][C]683.173256602648[/C][/ROW]
[ROW][C]0.53[/C][C]143473.645753891[/C][C]691.607258742676[/C][/ROW]
[ROW][C]0.54[/C][C]143580.442762131[/C][C]698.554422185855[/C][/ROW]
[ROW][C]0.55[/C][C]143688.436579735[/C][C]704.057844588998[/C][/ROW]
[ROW][C]0.56[/C][C]143797.488577232[/C][C]708.246892663911[/C][/ROW]
[ROW][C]0.57[/C][C]143907.458005771[/C][C]711.190038926952[/C][/ROW]
[ROW][C]0.58[/C][C]144018.205188961[/C][C]713.265444519398[/C][/ROW]
[ROW][C]0.59[/C][C]144129.585494913[/C][C]714.430168321785[/C][/ROW]
[ROW][C]0.6[/C][C]144241.435082087[/C][C]714.692250593016[/C][/ROW]
[ROW][C]0.61[/C][C]144353.550752828[/C][C]713.946212508945[/C][/ROW]
[ROW][C]0.62[/C][C]144465.667325147[/C][C]711.424261066428[/C][/ROW]
[ROW][C]0.63[/C][C]144577.436581382[/C][C]706.909361139087[/C][/ROW]
[ROW][C]0.64[/C][C]144688.411950022[/C][C]699.311087542152[/C][/ROW]
[ROW][C]0.65[/C][C]144798.042570148[/C][C]688.048763107594[/C][/ROW]
[ROW][C]0.66[/C][C]144905.679309200[/C][C]672.41290929348[/C][/ROW]
[ROW][C]0.67[/C][C]145010.593779468[/C][C]651.693387860648[/C][/ROW]
[ROW][C]0.68[/C][C]145112.009634735[/C][C]625.923782757435[/C][/ROW]
[ROW][C]0.69[/C][C]145209.143687237[/C][C]594.825402723997[/C][/ROW]
[ROW][C]0.7[/C][C]145301.252938113[/C][C]558.935025193508[/C][/ROW]
[ROW][C]0.71[/C][C]145387.682692656[/C][C]519.013664185873[/C][/ROW]
[ROW][C]0.72[/C][C]145467.910680148[/C][C]476.168243528993[/C][/ROW]
[ROW][C]0.73[/C][C]145541.582546879[/C][C]431.401135340073[/C][/ROW]
[ROW][C]0.74[/C][C]145608.535150920[/C][C]386.2532044818[/C][/ROW]
[ROW][C]0.75[/C][C]145668.805571847[/C][C]341.901848823368[/C][/ROW]
[ROW][C]0.76[/C][C]145722.625416188[/C][C]299.593235127876[/C][/ROW]
[ROW][C]0.77[/C][C]145770.401603372[/C][C]260.437073152290[/C][/ROW]
[ROW][C]0.78[/C][C]145812.686149348[/C][C]225.273260933997[/C][/ROW]
[ROW][C]0.79[/C][C]145850.138382074[/C][C]194.645259776342[/C][/ROW]
[ROW][C]0.8[/C][C]145883.483450049[/C][C]168.766433613713[/C][/ROW]
[ROW][C]0.81[/C][C]145913.470905664[/C][C]147.6100597241[/C][/ROW]
[ROW][C]0.82[/C][C]145940.836590757[/C][C]131.140764324752[/C][/ROW]
[ROW][C]0.83[/C][C]145966.270104694[/C][C]118.813101069432[/C][/ROW]
[ROW][C]0.84[/C][C]145990.388959358[/C][C]109.965707508678[/C][/ROW]
[ROW][C]0.85[/C][C]146013.719423490[/C][C]103.906795633923[/C][/ROW]
[ROW][C]0.86[/C][C]146036.683551881[/C][C]99.8886058457426[/C][/ROW]
[ROW][C]0.87[/C][C]146059.592799924[/C][C]97.2328586160196[/C][/ROW]
[ROW][C]0.88[/C][C]146082.652074884[/C][C]95.2234968350238[/C][/ROW]
[ROW][C]0.89[/C][C]146105.985311698[/C][C]93.3480259784942[/C][/ROW]
[ROW][C]0.9[/C][C]146129.705137780[/C][C]90.8895882804142[/C][/ROW]
[ROW][C]0.91[/C][C]146154.062132282[/C][C]87.6576898753534[/C][/ROW]
[ROW][C]0.92[/C][C]146179.712585028[/C][C]83.9138530764137[/C][/ROW]
[ROW][C]0.93[/C][C]146208.111388709[/C][C]80.9268261874082[/C][/ROW]
[ROW][C]0.94[/C][C]146241.925622992[/C][C]82.4815252779823[/C][/ROW]
[ROW][C]0.95[/C][C]146285.137132002[/C][C]95.5153457926409[/C][/ROW]
[ROW][C]0.96[/C][C]146342.205588938[/C][C]127.570291745704[/C][/ROW]
[ROW][C]0.97[/C][C]146415.568875904[/C][C]181.411845440359[/C][/ROW]
[ROW][C]0.98[/C][C]146501.452798318[/C][C]252.069400464353[/C][/ROW]
[ROW][C]0.99[/C][C]146586.044223144[/C][C]325.245275947013[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9586&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9586&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
0.01138433.26641232850.3779930355888
0.02138456.36116932473.4076467829187
0.03138490.568278294109.382930217657
0.04138535.94752405154.042581137637
0.05138592.452406263202.920423869021
0.06138659.683128767252.192746936293
0.07138736.665449459297.895733995732
0.08138821.815844350336.823819997250
0.09138913.085474407366.782258845938
0.1139008.211459704386.867217867066
0.11139104.998352700397.513440750087
0.12139201.567204102400.894128166672
0.13139296.529783414399.425581146076
0.14139389.068170595396.19031812504
0.15139478.922538232393.70563647067
0.16139566.308249710394.423194253837
0.17139651.793486905399.116053902418
0.18139736.169079814408.182298603577
0.19139820.334692330421.953332273791
0.2139905.213777796439.616646495634
0.21139991.698000128461.671608167825
0.22140080.613423298487.871672515489
0.23140172.697277470517.918537497449
0.24140268.575304373551.39629008256
0.25140368.734065690587.656403817489
0.26140473.488111114625.315696572683
0.27140582.946643415662.935475017735
0.28140696.987016834698.755319622394
0.29140815.242615675730.728580452973
0.3140937.110682594757.53897272848
0.31141061.782297758777.493058172753
0.32141188.292931523790.187265085347
0.33141315.588689268795.104462315643
0.34141442.601141541792.450322081203
0.35141568.322739981783.07177040247
0.36141691.875196015767.988269632118
0.37141812.564560280748.579490487976
0.38141929.918700373726.89542684987
0.39142043.705051469704.059813992013
0.4142153.928602590682.260411294898
0.41142260.811878153662.617774942125
0.42142364.760074271646.597093346801
0.43142466.315476951634.798648457694
0.44142566.105828501628.066779845787
0.45142664.791438233625.930026938291
0.46142763.015577467628.091741249632
0.47142861.36208671633.773633126108
0.48142960.323199478642.26407092291
0.49143060.279421771652.149815132651
0.5143161.491996120662.843851717592
0.51143264.107146627673.443392529382
0.52143368.170081481683.173256602648
0.53143473.645753891691.607258742676
0.54143580.442762131698.554422185855
0.55143688.436579735704.057844588998
0.56143797.488577232708.246892663911
0.57143907.458005771711.190038926952
0.58144018.205188961713.265444519398
0.59144129.585494913714.430168321785
0.6144241.435082087714.692250593016
0.61144353.550752828713.946212508945
0.62144465.667325147711.424261066428
0.63144577.436581382706.909361139087
0.64144688.411950022699.311087542152
0.65144798.042570148688.048763107594
0.66144905.679309200672.41290929348
0.67145010.593779468651.693387860648
0.68145112.009634735625.923782757435
0.69145209.143687237594.825402723997
0.7145301.252938113558.935025193508
0.71145387.682692656519.013664185873
0.72145467.910680148476.168243528993
0.73145541.582546879431.401135340073
0.74145608.535150920386.2532044818
0.75145668.805571847341.901848823368
0.76145722.625416188299.593235127876
0.77145770.401603372260.437073152290
0.78145812.686149348225.273260933997
0.79145850.138382074194.645259776342
0.8145883.483450049168.766433613713
0.81145913.470905664147.6100597241
0.82145940.836590757131.140764324752
0.83145966.270104694118.813101069432
0.84145990.388959358109.965707508678
0.85146013.719423490103.906795633923
0.86146036.68355188199.8886058457426
0.87146059.59279992497.2328586160196
0.88146082.65207488495.2234968350238
0.89146105.98531169893.3480259784942
0.9146129.70513778090.8895882804142
0.91146154.06213228287.6576898753534
0.92146179.71258502883.9138530764137
0.93146208.11138870980.9268261874082
0.94146241.92562299282.4815252779823
0.95146285.13713200295.5153457926409
0.96146342.205588938127.570291745704
0.97146415.568875904181.411845440359
0.98146501.452798318252.069400464353
0.99146586.044223144325.245275947013


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')