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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 computationWed, 05 Oct 2016 11:50:07 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/05/t1475664635578ljadxh42xrev.htm/, Retrieved Sun, 05 May 2024 18:07:48 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sun, 05 May 2024 18:07:48 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15391
13704
15409
15098
15254
15522
16669
16238
16246
15424
14952
15008
14929
13905
14994
14753
15031
15386
16160
16116
16219
16064
15436
15404
15112
14119
14775
14289
15121
15371
15782
16104
15674
15105
14223
14385
14558
13804
14672
14244
15089
14580
15218
15696
15129
15110
14204
13655
14534
12746
14074
13699
14184
14110
15820
15362
14993
14437
13694
13688
14366
13267
14409
14031
14584
14626
15669
15460
15552
15220
13907
14090
14176
12523
13597
13241
14345
14273
15308
15353
15330
14610
13852
13902

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]2 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=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time2 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112645.1428873655280.857837131863
0.0212846.3756375868335.194272586612
0.0313057.9375820516327.203057458497
0.0413240.9495837218284.685104823508
0.0513385.3192031628236.479486907005
0.0613494.3097709402189.814654364931
0.0713574.8807610406147.889484975499
0.0813634.3430956493116.112721090122
0.0913679.558630296798.4491164359403
0.113716.443515659194.0767761222354
0.1113749.463046626198.0326604389005
0.1213781.4272330181105.157734474825
0.1313813.6904581501112.180039921563
0.1413846.5919344013117.635896859837
0.1513879.9158841891121.146376381091
0.1613913.2340284917122.804737600011
0.1713946.0991752732122.828149315908
0.1813978.1257401393121.366312643892
0.1914009.0118846075118.600710360963
0.214038.5448879446114.799423367795
0.2114066.607828955110.421404089017
0.2214093.1872799019105.999832026175
0.2314118.3744954284102.02993235042
0.2414142.354542638398.9812592203509
0.2514165.383509008497.1782783845853
0.2614187.758573410996.6871493468438
0.2714209.787246809197.5207328000014
0.2814231.760869246699.5599686372884
0.2914253.935025427102.563779002977
0.314276.5173413387106.353083665928
0.3114299.6618618411110.613123804406
0.3214323.4688942402115.145808095307
0.3314347.9894525898119.711193952666
0.3414373.2337841784124.146761348134
0.3514399.1835378096128.339807743768
0.3614425.8067615292132.257987458484
0.3714453.074129402135.961059891737
0.3814480.9738422455139.618715722516
0.3914509.5219379248143.396358634106
0.414538.7647315917147.538646126828
0.4114568.7710909255152.178975836932
0.4214599.6142316895157.308190873499
0.4314631.3453076323162.760741572936
0.4414663.9635708629168.120774650311
0.4514697.3895044171172.850666904612
0.4614731.4474708603176.345601364017
0.4714765.8628897885178.010805031326
0.4814800.2760753776177.422929592379
0.4914834.2713796749174.371234211057
0.514867.4171287725168.862701071059
0.5114899.3098165167161.187540833435
0.5214929.6155656837151.857423619898
0.5314958.1029202088141.474691171175
0.5414984.6631087576130.783437952673
0.5515009.3163187767120.456038956909
0.5615032.204591541111.155806932817
0.5715053.573310823103.370417686092
0.5815073.743882027197.4968202327508
0.5915093.080341280593.7102864430508
0.615111.952657716391.9315312918203
0.6115130.699663809291.9361255673696
0.6215149.594904752693.2102953853407
0.6315168.81903354395.2016495978546
0.6415188.442356324697.217282399661
0.6515208.420457198798.6528113973257
0.6615228.604408391599.0027157756377
0.6715248.765080683197.9137680097517
0.6815268.628925456395.2904833823122
0.6915287.920816727291.1944398254913
0.715306.408550898385.9553352252313
0.7115323.943600070780.0197830443006
0.7215340.493590600474.0653180551799
0.7315356.163355979968.7291501950314
0.7415371.202803463564.7199152799236
0.7515386.000861006362.7211414128969
0.7615401.06539269463.2331758605182
0.7715416.989591072666.5324496498784
0.7815434.406714082572.5820083034161
0.7915453.937800409481.0189508444518
0.815476.141097292591.235737820533
0.8115501.4758728117102.501015491586
0.8215530.293928622114.106260561764
0.8315562.8655970532125.575239600707
0.8415599.431061557136.773946641498
0.8515640.2453863674147.927999808898
0.8615685.5674619634159.324195870972
0.8715735.5464665508170.769521962139
0.8815789.999505825181.011618438152
0.8915848.1481143941187.630930553938
0.915908.4549639052187.676758450026
0.9115968.7149804825178.990612690175
0.9216026.4623479903161.514736176986
0.9316079.6026739941137.755731933765
0.9416127.170604968111.960426637463
0.9516170.546734860788.6872429367367
0.9616216.232499154274.4524902669742
0.9716280.320579957689.2973285814629
0.9816386.8840329681164.66877229722
0.9916539.4059124131298.40507999242

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12645.1428873655 & 280.857837131863 \tabularnewline
0.02 & 12846.3756375868 & 335.194272586612 \tabularnewline
0.03 & 13057.9375820516 & 327.203057458497 \tabularnewline
0.04 & 13240.9495837218 & 284.685104823508 \tabularnewline
0.05 & 13385.3192031628 & 236.479486907005 \tabularnewline
0.06 & 13494.3097709402 & 189.814654364931 \tabularnewline
0.07 & 13574.8807610406 & 147.889484975499 \tabularnewline
0.08 & 13634.3430956493 & 116.112721090122 \tabularnewline
0.09 & 13679.5586302967 & 98.4491164359403 \tabularnewline
0.1 & 13716.4435156591 & 94.0767761222354 \tabularnewline
0.11 & 13749.4630466261 & 98.0326604389005 \tabularnewline
0.12 & 13781.4272330181 & 105.157734474825 \tabularnewline
0.13 & 13813.6904581501 & 112.180039921563 \tabularnewline
0.14 & 13846.5919344013 & 117.635896859837 \tabularnewline
0.15 & 13879.9158841891 & 121.146376381091 \tabularnewline
0.16 & 13913.2340284917 & 122.804737600011 \tabularnewline
0.17 & 13946.0991752732 & 122.828149315908 \tabularnewline
0.18 & 13978.1257401393 & 121.366312643892 \tabularnewline
0.19 & 14009.0118846075 & 118.600710360963 \tabularnewline
0.2 & 14038.5448879446 & 114.799423367795 \tabularnewline
0.21 & 14066.607828955 & 110.421404089017 \tabularnewline
0.22 & 14093.1872799019 & 105.999832026175 \tabularnewline
0.23 & 14118.3744954284 & 102.02993235042 \tabularnewline
0.24 & 14142.3545426383 & 98.9812592203509 \tabularnewline
0.25 & 14165.3835090084 & 97.1782783845853 \tabularnewline
0.26 & 14187.7585734109 & 96.6871493468438 \tabularnewline
0.27 & 14209.7872468091 & 97.5207328000014 \tabularnewline
0.28 & 14231.7608692466 & 99.5599686372884 \tabularnewline
0.29 & 14253.935025427 & 102.563779002977 \tabularnewline
0.3 & 14276.5173413387 & 106.353083665928 \tabularnewline
0.31 & 14299.6618618411 & 110.613123804406 \tabularnewline
0.32 & 14323.4688942402 & 115.145808095307 \tabularnewline
0.33 & 14347.9894525898 & 119.711193952666 \tabularnewline
0.34 & 14373.2337841784 & 124.146761348134 \tabularnewline
0.35 & 14399.1835378096 & 128.339807743768 \tabularnewline
0.36 & 14425.8067615292 & 132.257987458484 \tabularnewline
0.37 & 14453.074129402 & 135.961059891737 \tabularnewline
0.38 & 14480.9738422455 & 139.618715722516 \tabularnewline
0.39 & 14509.5219379248 & 143.396358634106 \tabularnewline
0.4 & 14538.7647315917 & 147.538646126828 \tabularnewline
0.41 & 14568.7710909255 & 152.178975836932 \tabularnewline
0.42 & 14599.6142316895 & 157.308190873499 \tabularnewline
0.43 & 14631.3453076323 & 162.760741572936 \tabularnewline
0.44 & 14663.9635708629 & 168.120774650311 \tabularnewline
0.45 & 14697.3895044171 & 172.850666904612 \tabularnewline
0.46 & 14731.4474708603 & 176.345601364017 \tabularnewline
0.47 & 14765.8628897885 & 178.010805031326 \tabularnewline
0.48 & 14800.2760753776 & 177.422929592379 \tabularnewline
0.49 & 14834.2713796749 & 174.371234211057 \tabularnewline
0.5 & 14867.4171287725 & 168.862701071059 \tabularnewline
0.51 & 14899.3098165167 & 161.187540833435 \tabularnewline
0.52 & 14929.6155656837 & 151.857423619898 \tabularnewline
0.53 & 14958.1029202088 & 141.474691171175 \tabularnewline
0.54 & 14984.6631087576 & 130.783437952673 \tabularnewline
0.55 & 15009.3163187767 & 120.456038956909 \tabularnewline
0.56 & 15032.204591541 & 111.155806932817 \tabularnewline
0.57 & 15053.573310823 & 103.370417686092 \tabularnewline
0.58 & 15073.7438820271 & 97.4968202327508 \tabularnewline
0.59 & 15093.0803412805 & 93.7102864430508 \tabularnewline
0.6 & 15111.9526577163 & 91.9315312918203 \tabularnewline
0.61 & 15130.6996638092 & 91.9361255673696 \tabularnewline
0.62 & 15149.5949047526 & 93.2102953853407 \tabularnewline
0.63 & 15168.819033543 & 95.2016495978546 \tabularnewline
0.64 & 15188.4423563246 & 97.217282399661 \tabularnewline
0.65 & 15208.4204571987 & 98.6528113973257 \tabularnewline
0.66 & 15228.6044083915 & 99.0027157756377 \tabularnewline
0.67 & 15248.7650806831 & 97.9137680097517 \tabularnewline
0.68 & 15268.6289254563 & 95.2904833823122 \tabularnewline
0.69 & 15287.9208167272 & 91.1944398254913 \tabularnewline
0.7 & 15306.4085508983 & 85.9553352252313 \tabularnewline
0.71 & 15323.9436000707 & 80.0197830443006 \tabularnewline
0.72 & 15340.4935906004 & 74.0653180551799 \tabularnewline
0.73 & 15356.1633559799 & 68.7291501950314 \tabularnewline
0.74 & 15371.2028034635 & 64.7199152799236 \tabularnewline
0.75 & 15386.0008610063 & 62.7211414128969 \tabularnewline
0.76 & 15401.065392694 & 63.2331758605182 \tabularnewline
0.77 & 15416.9895910726 & 66.5324496498784 \tabularnewline
0.78 & 15434.4067140825 & 72.5820083034161 \tabularnewline
0.79 & 15453.9378004094 & 81.0189508444518 \tabularnewline
0.8 & 15476.1410972925 & 91.235737820533 \tabularnewline
0.81 & 15501.4758728117 & 102.501015491586 \tabularnewline
0.82 & 15530.293928622 & 114.106260561764 \tabularnewline
0.83 & 15562.8655970532 & 125.575239600707 \tabularnewline
0.84 & 15599.431061557 & 136.773946641498 \tabularnewline
0.85 & 15640.2453863674 & 147.927999808898 \tabularnewline
0.86 & 15685.5674619634 & 159.324195870972 \tabularnewline
0.87 & 15735.5464665508 & 170.769521962139 \tabularnewline
0.88 & 15789.999505825 & 181.011618438152 \tabularnewline
0.89 & 15848.1481143941 & 187.630930553938 \tabularnewline
0.9 & 15908.4549639052 & 187.676758450026 \tabularnewline
0.91 & 15968.7149804825 & 178.990612690175 \tabularnewline
0.92 & 16026.4623479903 & 161.514736176986 \tabularnewline
0.93 & 16079.6026739941 & 137.755731933765 \tabularnewline
0.94 & 16127.170604968 & 111.960426637463 \tabularnewline
0.95 & 16170.5467348607 & 88.6872429367367 \tabularnewline
0.96 & 16216.2324991542 & 74.4524902669742 \tabularnewline
0.97 & 16280.3205799576 & 89.2973285814629 \tabularnewline
0.98 & 16386.8840329681 & 164.66877229722 \tabularnewline
0.99 & 16539.4059124131 & 298.40507999242 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]12645.1428873655[/C][C]280.857837131863[/C][/ROW]
[ROW][C]0.02[/C][C]12846.3756375868[/C][C]335.194272586612[/C][/ROW]
[ROW][C]0.03[/C][C]13057.9375820516[/C][C]327.203057458497[/C][/ROW]
[ROW][C]0.04[/C][C]13240.9495837218[/C][C]284.685104823508[/C][/ROW]
[ROW][C]0.05[/C][C]13385.3192031628[/C][C]236.479486907005[/C][/ROW]
[ROW][C]0.06[/C][C]13494.3097709402[/C][C]189.814654364931[/C][/ROW]
[ROW][C]0.07[/C][C]13574.8807610406[/C][C]147.889484975499[/C][/ROW]
[ROW][C]0.08[/C][C]13634.3430956493[/C][C]116.112721090122[/C][/ROW]
[ROW][C]0.09[/C][C]13679.5586302967[/C][C]98.4491164359403[/C][/ROW]
[ROW][C]0.1[/C][C]13716.4435156591[/C][C]94.0767761222354[/C][/ROW]
[ROW][C]0.11[/C][C]13749.4630466261[/C][C]98.0326604389005[/C][/ROW]
[ROW][C]0.12[/C][C]13781.4272330181[/C][C]105.157734474825[/C][/ROW]
[ROW][C]0.13[/C][C]13813.6904581501[/C][C]112.180039921563[/C][/ROW]
[ROW][C]0.14[/C][C]13846.5919344013[/C][C]117.635896859837[/C][/ROW]
[ROW][C]0.15[/C][C]13879.9158841891[/C][C]121.146376381091[/C][/ROW]
[ROW][C]0.16[/C][C]13913.2340284917[/C][C]122.804737600011[/C][/ROW]
[ROW][C]0.17[/C][C]13946.0991752732[/C][C]122.828149315908[/C][/ROW]
[ROW][C]0.18[/C][C]13978.1257401393[/C][C]121.366312643892[/C][/ROW]
[ROW][C]0.19[/C][C]14009.0118846075[/C][C]118.600710360963[/C][/ROW]
[ROW][C]0.2[/C][C]14038.5448879446[/C][C]114.799423367795[/C][/ROW]
[ROW][C]0.21[/C][C]14066.607828955[/C][C]110.421404089017[/C][/ROW]
[ROW][C]0.22[/C][C]14093.1872799019[/C][C]105.999832026175[/C][/ROW]
[ROW][C]0.23[/C][C]14118.3744954284[/C][C]102.02993235042[/C][/ROW]
[ROW][C]0.24[/C][C]14142.3545426383[/C][C]98.9812592203509[/C][/ROW]
[ROW][C]0.25[/C][C]14165.3835090084[/C][C]97.1782783845853[/C][/ROW]
[ROW][C]0.26[/C][C]14187.7585734109[/C][C]96.6871493468438[/C][/ROW]
[ROW][C]0.27[/C][C]14209.7872468091[/C][C]97.5207328000014[/C][/ROW]
[ROW][C]0.28[/C][C]14231.7608692466[/C][C]99.5599686372884[/C][/ROW]
[ROW][C]0.29[/C][C]14253.935025427[/C][C]102.563779002977[/C][/ROW]
[ROW][C]0.3[/C][C]14276.5173413387[/C][C]106.353083665928[/C][/ROW]
[ROW][C]0.31[/C][C]14299.6618618411[/C][C]110.613123804406[/C][/ROW]
[ROW][C]0.32[/C][C]14323.4688942402[/C][C]115.145808095307[/C][/ROW]
[ROW][C]0.33[/C][C]14347.9894525898[/C][C]119.711193952666[/C][/ROW]
[ROW][C]0.34[/C][C]14373.2337841784[/C][C]124.146761348134[/C][/ROW]
[ROW][C]0.35[/C][C]14399.1835378096[/C][C]128.339807743768[/C][/ROW]
[ROW][C]0.36[/C][C]14425.8067615292[/C][C]132.257987458484[/C][/ROW]
[ROW][C]0.37[/C][C]14453.074129402[/C][C]135.961059891737[/C][/ROW]
[ROW][C]0.38[/C][C]14480.9738422455[/C][C]139.618715722516[/C][/ROW]
[ROW][C]0.39[/C][C]14509.5219379248[/C][C]143.396358634106[/C][/ROW]
[ROW][C]0.4[/C][C]14538.7647315917[/C][C]147.538646126828[/C][/ROW]
[ROW][C]0.41[/C][C]14568.7710909255[/C][C]152.178975836932[/C][/ROW]
[ROW][C]0.42[/C][C]14599.6142316895[/C][C]157.308190873499[/C][/ROW]
[ROW][C]0.43[/C][C]14631.3453076323[/C][C]162.760741572936[/C][/ROW]
[ROW][C]0.44[/C][C]14663.9635708629[/C][C]168.120774650311[/C][/ROW]
[ROW][C]0.45[/C][C]14697.3895044171[/C][C]172.850666904612[/C][/ROW]
[ROW][C]0.46[/C][C]14731.4474708603[/C][C]176.345601364017[/C][/ROW]
[ROW][C]0.47[/C][C]14765.8628897885[/C][C]178.010805031326[/C][/ROW]
[ROW][C]0.48[/C][C]14800.2760753776[/C][C]177.422929592379[/C][/ROW]
[ROW][C]0.49[/C][C]14834.2713796749[/C][C]174.371234211057[/C][/ROW]
[ROW][C]0.5[/C][C]14867.4171287725[/C][C]168.862701071059[/C][/ROW]
[ROW][C]0.51[/C][C]14899.3098165167[/C][C]161.187540833435[/C][/ROW]
[ROW][C]0.52[/C][C]14929.6155656837[/C][C]151.857423619898[/C][/ROW]
[ROW][C]0.53[/C][C]14958.1029202088[/C][C]141.474691171175[/C][/ROW]
[ROW][C]0.54[/C][C]14984.6631087576[/C][C]130.783437952673[/C][/ROW]
[ROW][C]0.55[/C][C]15009.3163187767[/C][C]120.456038956909[/C][/ROW]
[ROW][C]0.56[/C][C]15032.204591541[/C][C]111.155806932817[/C][/ROW]
[ROW][C]0.57[/C][C]15053.573310823[/C][C]103.370417686092[/C][/ROW]
[ROW][C]0.58[/C][C]15073.7438820271[/C][C]97.4968202327508[/C][/ROW]
[ROW][C]0.59[/C][C]15093.0803412805[/C][C]93.7102864430508[/C][/ROW]
[ROW][C]0.6[/C][C]15111.9526577163[/C][C]91.9315312918203[/C][/ROW]
[ROW][C]0.61[/C][C]15130.6996638092[/C][C]91.9361255673696[/C][/ROW]
[ROW][C]0.62[/C][C]15149.5949047526[/C][C]93.2102953853407[/C][/ROW]
[ROW][C]0.63[/C][C]15168.819033543[/C][C]95.2016495978546[/C][/ROW]
[ROW][C]0.64[/C][C]15188.4423563246[/C][C]97.217282399661[/C][/ROW]
[ROW][C]0.65[/C][C]15208.4204571987[/C][C]98.6528113973257[/C][/ROW]
[ROW][C]0.66[/C][C]15228.6044083915[/C][C]99.0027157756377[/C][/ROW]
[ROW][C]0.67[/C][C]15248.7650806831[/C][C]97.9137680097517[/C][/ROW]
[ROW][C]0.68[/C][C]15268.6289254563[/C][C]95.2904833823122[/C][/ROW]
[ROW][C]0.69[/C][C]15287.9208167272[/C][C]91.1944398254913[/C][/ROW]
[ROW][C]0.7[/C][C]15306.4085508983[/C][C]85.9553352252313[/C][/ROW]
[ROW][C]0.71[/C][C]15323.9436000707[/C][C]80.0197830443006[/C][/ROW]
[ROW][C]0.72[/C][C]15340.4935906004[/C][C]74.0653180551799[/C][/ROW]
[ROW][C]0.73[/C][C]15356.1633559799[/C][C]68.7291501950314[/C][/ROW]
[ROW][C]0.74[/C][C]15371.2028034635[/C][C]64.7199152799236[/C][/ROW]
[ROW][C]0.75[/C][C]15386.0008610063[/C][C]62.7211414128969[/C][/ROW]
[ROW][C]0.76[/C][C]15401.065392694[/C][C]63.2331758605182[/C][/ROW]
[ROW][C]0.77[/C][C]15416.9895910726[/C][C]66.5324496498784[/C][/ROW]
[ROW][C]0.78[/C][C]15434.4067140825[/C][C]72.5820083034161[/C][/ROW]
[ROW][C]0.79[/C][C]15453.9378004094[/C][C]81.0189508444518[/C][/ROW]
[ROW][C]0.8[/C][C]15476.1410972925[/C][C]91.235737820533[/C][/ROW]
[ROW][C]0.81[/C][C]15501.4758728117[/C][C]102.501015491586[/C][/ROW]
[ROW][C]0.82[/C][C]15530.293928622[/C][C]114.106260561764[/C][/ROW]
[ROW][C]0.83[/C][C]15562.8655970532[/C][C]125.575239600707[/C][/ROW]
[ROW][C]0.84[/C][C]15599.431061557[/C][C]136.773946641498[/C][/ROW]
[ROW][C]0.85[/C][C]15640.2453863674[/C][C]147.927999808898[/C][/ROW]
[ROW][C]0.86[/C][C]15685.5674619634[/C][C]159.324195870972[/C][/ROW]
[ROW][C]0.87[/C][C]15735.5464665508[/C][C]170.769521962139[/C][/ROW]
[ROW][C]0.88[/C][C]15789.999505825[/C][C]181.011618438152[/C][/ROW]
[ROW][C]0.89[/C][C]15848.1481143941[/C][C]187.630930553938[/C][/ROW]
[ROW][C]0.9[/C][C]15908.4549639052[/C][C]187.676758450026[/C][/ROW]
[ROW][C]0.91[/C][C]15968.7149804825[/C][C]178.990612690175[/C][/ROW]
[ROW][C]0.92[/C][C]16026.4623479903[/C][C]161.514736176986[/C][/ROW]
[ROW][C]0.93[/C][C]16079.6026739941[/C][C]137.755731933765[/C][/ROW]
[ROW][C]0.94[/C][C]16127.170604968[/C][C]111.960426637463[/C][/ROW]
[ROW][C]0.95[/C][C]16170.5467348607[/C][C]88.6872429367367[/C][/ROW]
[ROW][C]0.96[/C][C]16216.2324991542[/C][C]74.4524902669742[/C][/ROW]
[ROW][C]0.97[/C][C]16280.3205799576[/C][C]89.2973285814629[/C][/ROW]
[ROW][C]0.98[/C][C]16386.8840329681[/C][C]164.66877229722[/C][/ROW]
[ROW][C]0.99[/C][C]16539.4059124131[/C][C]298.40507999242[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0112645.1428873655280.857837131863
0.0212846.3756375868335.194272586612
0.0313057.9375820516327.203057458497
0.0413240.9495837218284.685104823508
0.0513385.3192031628236.479486907005
0.0613494.3097709402189.814654364931
0.0713574.8807610406147.889484975499
0.0813634.3430956493116.112721090122
0.0913679.558630296798.4491164359403
0.113716.443515659194.0767761222354
0.1113749.463046626198.0326604389005
0.1213781.4272330181105.157734474825
0.1313813.6904581501112.180039921563
0.1413846.5919344013117.635896859837
0.1513879.9158841891121.146376381091
0.1613913.2340284917122.804737600011
0.1713946.0991752732122.828149315908
0.1813978.1257401393121.366312643892
0.1914009.0118846075118.600710360963
0.214038.5448879446114.799423367795
0.2114066.607828955110.421404089017
0.2214093.1872799019105.999832026175
0.2314118.3744954284102.02993235042
0.2414142.354542638398.9812592203509
0.2514165.383509008497.1782783845853
0.2614187.758573410996.6871493468438
0.2714209.787246809197.5207328000014
0.2814231.760869246699.5599686372884
0.2914253.935025427102.563779002977
0.314276.5173413387106.353083665928
0.3114299.6618618411110.613123804406
0.3214323.4688942402115.145808095307
0.3314347.9894525898119.711193952666
0.3414373.2337841784124.146761348134
0.3514399.1835378096128.339807743768
0.3614425.8067615292132.257987458484
0.3714453.074129402135.961059891737
0.3814480.9738422455139.618715722516
0.3914509.5219379248143.396358634106
0.414538.7647315917147.538646126828
0.4114568.7710909255152.178975836932
0.4214599.6142316895157.308190873499
0.4314631.3453076323162.760741572936
0.4414663.9635708629168.120774650311
0.4514697.3895044171172.850666904612
0.4614731.4474708603176.345601364017
0.4714765.8628897885178.010805031326
0.4814800.2760753776177.422929592379
0.4914834.2713796749174.371234211057
0.514867.4171287725168.862701071059
0.5114899.3098165167161.187540833435
0.5214929.6155656837151.857423619898
0.5314958.1029202088141.474691171175
0.5414984.6631087576130.783437952673
0.5515009.3163187767120.456038956909
0.5615032.204591541111.155806932817
0.5715053.573310823103.370417686092
0.5815073.743882027197.4968202327508
0.5915093.080341280593.7102864430508
0.615111.952657716391.9315312918203
0.6115130.699663809291.9361255673696
0.6215149.594904752693.2102953853407
0.6315168.81903354395.2016495978546
0.6415188.442356324697.217282399661
0.6515208.420457198798.6528113973257
0.6615228.604408391599.0027157756377
0.6715248.765080683197.9137680097517
0.6815268.628925456395.2904833823122
0.6915287.920816727291.1944398254913
0.715306.408550898385.9553352252313
0.7115323.943600070780.0197830443006
0.7215340.493590600474.0653180551799
0.7315356.163355979968.7291501950314
0.7415371.202803463564.7199152799236
0.7515386.000861006362.7211414128969
0.7615401.06539269463.2331758605182
0.7715416.989591072666.5324496498784
0.7815434.406714082572.5820083034161
0.7915453.937800409481.0189508444518
0.815476.141097292591.235737820533
0.8115501.4758728117102.501015491586
0.8215530.293928622114.106260561764
0.8315562.8655970532125.575239600707
0.8415599.431061557136.773946641498
0.8515640.2453863674147.927999808898
0.8615685.5674619634159.324195870972
0.8715735.5464665508170.769521962139
0.8815789.999505825181.011618438152
0.8915848.1481143941187.630930553938
0.915908.4549639052187.676758450026
0.9115968.7149804825178.990612690175
0.9216026.4623479903161.514736176986
0.9316079.6026739941137.755731933765
0.9416127.170604968111.960426637463
0.9516170.546734860788.6872429367367
0.9616216.232499154274.4524902669742
0.9716280.320579957689.2973285814629
0.9816386.8840329681164.66877229722
0.9916539.4059124131298.40507999242


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')