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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 10 Mar 2010 04:34:43 -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/2010/Mar/10/t1268220966t5bopf260sdnpe1.htm/, Retrieved Fri, 28 Jan 2022 07:58:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74261, Retrieved Fri, 28 Jan 2022 07:58:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact147
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harell Davis- Cha...] [2010-03-10 11:34:43] [a99e434d1cfd87bdfab8a9b2b38ccb03] [Current]
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Dataseries X:
2851
2672
2755
2721
2946
3036
2282
2212
2922
4301
5764
7132
2541
2475
3031
3266
3776
3230
3028
1759
3595
4474
6838
8357
3113
3006
4047
3523
3937
3986
3260
1573
3528
5211
7614
9254
5375
3088
3718
4514
4520
4539
3663
1643
4739
5428
8314
10651
3633
4292
4154
4121
4647
4753
3965
1723
5048
6922
9858
11331
4016
3975
4510
4276
4968
4677
3523
1821
5222
6873
10803
13916
2639
2899
3370
3740
2927
3986
4217
1738
5221
6424
9842
13076
3934
3162
4286
4676
5010
4874
4633
1659
5951
6981
9851
12670




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74261&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74261&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74261&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011603.3355167356356.1377590921906
0.021646.3654528077355.5097228918323
0.031692.0036211665778.8711592963267
0.041745.71759349386124.054902052563
0.051815.50094929760185.471410218656
0.061905.16482074567248.489406684469
0.072012.50550179414296.052031123942
0.082130.30266324640317.939584295255
0.092249.34057377549314.236053509249
0.12361.64578690503292.463744280402
0.112462.34311443318262.281327099039
0.122549.80120887137231.475894219452
0.132624.70523302406204.413352128024
0.142688.87812449220182.393269983276
0.152744.37308010602164.862927485590
0.162792.99286628298150.663574802328
0.172836.1618267139138.906399083818
0.182874.99857193035129.277894004880
0.192910.45250055671121.999248060518
0.22943.4182413969117.524313475026
0.212974.79346671355116.305291093623
0.223005.48111067038118.561657435266
0.233036.35375160769124.20013905953
0.243068.20047260332132.804329623252
0.253101.67221251675143.701176189005
0.263137.23628479596156.017843442102
0.273175.14694827966168.788791394811
0.283215.43653307076181.054190216480
0.293257.92942761739191.932907592169
0.33302.27827637345200.765299876561
0.313348.01797028669207.140819923003
0.323394.62922860545210.985261935967
0.333441.60100942825212.497082847756
0.343488.48080253185212.074190858369
0.353534.90459448128210.234472930106
0.363580.60352179399207.442141199616
0.373625.39052037312204.026344472833
0.383669.13563805284200.127690212148
0.393711.74125177151195.765975207649
0.43753.12726666916190.888618312188
0.413793.23183778597185.515072774709
0.423832.0268400792179.822017655043
0.433869.54145586574174.169445976154
0.443905.88389288714169.069745509524
0.453941.25148723265165.077653127466
0.463975.92305953538162.6648009704
0.474010.23297413063162.089242800020
0.484044.53188951657163.304026025171
0.494079.14284809841166.022721025312
0.54114.32213256988169.738748857612
0.514150.23233932275173.870824300196
0.524186.93145951031177.872554103077
0.534224.37790306617181.277653564845
0.544262.4486083151183.756360928688
0.554300.96621337809185.127764808168
0.564339.73149020876185.360328152195
0.574378.55808707609184.577345525482
0.584417.30725204025183.054220707826
0.594455.92014546654181.258438583592
0.64494.44469345102179.737848025899
0.614533.05327828438179.165521826876
0.624572.0477006592180.206844012379
0.634611.84942093271183.426900992621
0.644652.97628443022189.206762966046
0.654696.01132785173197.700316208372
0.664741.57375527062208.853524302762
0.674790.30510269676222.499756564251
0.684842.88304545263238.576000079284
0.694900.06958439255257.318016521289
0.74962.78890647892279.428913651933
0.715032.21450184803306.117857907539
0.725109.82929117575338.915082142659
0.735197.41336213072379.144283384433
0.745296.91944082422427.303514937105
0.755410.22261197152482.397670804885
0.765538.77807071185541.581733577205
0.775683.27855503483600.44690024425
0.785843.44962576763653.881353274612
0.796018.12695518942697.53566145977
0.86205.70054030456729.553043105568
0.816404.88249590932751.958049442694
0.826615.58856403868771.037063161276
0.836839.58416786438795.838935604245
0.847080.5138882606834.685069973512
0.857343.06766323651890.556063946626
0.867631.34034775731958.025451131487
0.877946.841926722851023.64774434839
0.888286.972250501581069.95589852375
0.898644.89855644021081.68136527417
0.99011.490520689991052.7223949711
0.919379.24088786225991.429976449494
0.929747.16829484706921.261157150395
0.9310124.9436841143874.59642315567
0.9410533.9040578894880.143635712227
0.9511001.9176874755944.796736644558
0.9611550.05581018741029.08083140640
0.9712176.72443394211040.95103285811
0.9812851.6615369309917.930506691028
0.9913497.7797506316792.993255576766

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1603.33551673563 & 56.1377590921906 \tabularnewline
0.02 & 1646.36545280773 & 55.5097228918323 \tabularnewline
0.03 & 1692.00362116657 & 78.8711592963267 \tabularnewline
0.04 & 1745.71759349386 & 124.054902052563 \tabularnewline
0.05 & 1815.50094929760 & 185.471410218656 \tabularnewline
0.06 & 1905.16482074567 & 248.489406684469 \tabularnewline
0.07 & 2012.50550179414 & 296.052031123942 \tabularnewline
0.08 & 2130.30266324640 & 317.939584295255 \tabularnewline
0.09 & 2249.34057377549 & 314.236053509249 \tabularnewline
0.1 & 2361.64578690503 & 292.463744280402 \tabularnewline
0.11 & 2462.34311443318 & 262.281327099039 \tabularnewline
0.12 & 2549.80120887137 & 231.475894219452 \tabularnewline
0.13 & 2624.70523302406 & 204.413352128024 \tabularnewline
0.14 & 2688.87812449220 & 182.393269983276 \tabularnewline
0.15 & 2744.37308010602 & 164.862927485590 \tabularnewline
0.16 & 2792.99286628298 & 150.663574802328 \tabularnewline
0.17 & 2836.1618267139 & 138.906399083818 \tabularnewline
0.18 & 2874.99857193035 & 129.277894004880 \tabularnewline
0.19 & 2910.45250055671 & 121.999248060518 \tabularnewline
0.2 & 2943.4182413969 & 117.524313475026 \tabularnewline
0.21 & 2974.79346671355 & 116.305291093623 \tabularnewline
0.22 & 3005.48111067038 & 118.561657435266 \tabularnewline
0.23 & 3036.35375160769 & 124.20013905953 \tabularnewline
0.24 & 3068.20047260332 & 132.804329623252 \tabularnewline
0.25 & 3101.67221251675 & 143.701176189005 \tabularnewline
0.26 & 3137.23628479596 & 156.017843442102 \tabularnewline
0.27 & 3175.14694827966 & 168.788791394811 \tabularnewline
0.28 & 3215.43653307076 & 181.054190216480 \tabularnewline
0.29 & 3257.92942761739 & 191.932907592169 \tabularnewline
0.3 & 3302.27827637345 & 200.765299876561 \tabularnewline
0.31 & 3348.01797028669 & 207.140819923003 \tabularnewline
0.32 & 3394.62922860545 & 210.985261935967 \tabularnewline
0.33 & 3441.60100942825 & 212.497082847756 \tabularnewline
0.34 & 3488.48080253185 & 212.074190858369 \tabularnewline
0.35 & 3534.90459448128 & 210.234472930106 \tabularnewline
0.36 & 3580.60352179399 & 207.442141199616 \tabularnewline
0.37 & 3625.39052037312 & 204.026344472833 \tabularnewline
0.38 & 3669.13563805284 & 200.127690212148 \tabularnewline
0.39 & 3711.74125177151 & 195.765975207649 \tabularnewline
0.4 & 3753.12726666916 & 190.888618312188 \tabularnewline
0.41 & 3793.23183778597 & 185.515072774709 \tabularnewline
0.42 & 3832.0268400792 & 179.822017655043 \tabularnewline
0.43 & 3869.54145586574 & 174.169445976154 \tabularnewline
0.44 & 3905.88389288714 & 169.069745509524 \tabularnewline
0.45 & 3941.25148723265 & 165.077653127466 \tabularnewline
0.46 & 3975.92305953538 & 162.6648009704 \tabularnewline
0.47 & 4010.23297413063 & 162.089242800020 \tabularnewline
0.48 & 4044.53188951657 & 163.304026025171 \tabularnewline
0.49 & 4079.14284809841 & 166.022721025312 \tabularnewline
0.5 & 4114.32213256988 & 169.738748857612 \tabularnewline
0.51 & 4150.23233932275 & 173.870824300196 \tabularnewline
0.52 & 4186.93145951031 & 177.872554103077 \tabularnewline
0.53 & 4224.37790306617 & 181.277653564845 \tabularnewline
0.54 & 4262.4486083151 & 183.756360928688 \tabularnewline
0.55 & 4300.96621337809 & 185.127764808168 \tabularnewline
0.56 & 4339.73149020876 & 185.360328152195 \tabularnewline
0.57 & 4378.55808707609 & 184.577345525482 \tabularnewline
0.58 & 4417.30725204025 & 183.054220707826 \tabularnewline
0.59 & 4455.92014546654 & 181.258438583592 \tabularnewline
0.6 & 4494.44469345102 & 179.737848025899 \tabularnewline
0.61 & 4533.05327828438 & 179.165521826876 \tabularnewline
0.62 & 4572.0477006592 & 180.206844012379 \tabularnewline
0.63 & 4611.84942093271 & 183.426900992621 \tabularnewline
0.64 & 4652.97628443022 & 189.206762966046 \tabularnewline
0.65 & 4696.01132785173 & 197.700316208372 \tabularnewline
0.66 & 4741.57375527062 & 208.853524302762 \tabularnewline
0.67 & 4790.30510269676 & 222.499756564251 \tabularnewline
0.68 & 4842.88304545263 & 238.576000079284 \tabularnewline
0.69 & 4900.06958439255 & 257.318016521289 \tabularnewline
0.7 & 4962.78890647892 & 279.428913651933 \tabularnewline
0.71 & 5032.21450184803 & 306.117857907539 \tabularnewline
0.72 & 5109.82929117575 & 338.915082142659 \tabularnewline
0.73 & 5197.41336213072 & 379.144283384433 \tabularnewline
0.74 & 5296.91944082422 & 427.303514937105 \tabularnewline
0.75 & 5410.22261197152 & 482.397670804885 \tabularnewline
0.76 & 5538.77807071185 & 541.581733577205 \tabularnewline
0.77 & 5683.27855503483 & 600.44690024425 \tabularnewline
0.78 & 5843.44962576763 & 653.881353274612 \tabularnewline
0.79 & 6018.12695518942 & 697.53566145977 \tabularnewline
0.8 & 6205.70054030456 & 729.553043105568 \tabularnewline
0.81 & 6404.88249590932 & 751.958049442694 \tabularnewline
0.82 & 6615.58856403868 & 771.037063161276 \tabularnewline
0.83 & 6839.58416786438 & 795.838935604245 \tabularnewline
0.84 & 7080.5138882606 & 834.685069973512 \tabularnewline
0.85 & 7343.06766323651 & 890.556063946626 \tabularnewline
0.86 & 7631.34034775731 & 958.025451131487 \tabularnewline
0.87 & 7946.84192672285 & 1023.64774434839 \tabularnewline
0.88 & 8286.97225050158 & 1069.95589852375 \tabularnewline
0.89 & 8644.8985564402 & 1081.68136527417 \tabularnewline
0.9 & 9011.49052068999 & 1052.7223949711 \tabularnewline
0.91 & 9379.24088786225 & 991.429976449494 \tabularnewline
0.92 & 9747.16829484706 & 921.261157150395 \tabularnewline
0.93 & 10124.9436841143 & 874.59642315567 \tabularnewline
0.94 & 10533.9040578894 & 880.143635712227 \tabularnewline
0.95 & 11001.9176874755 & 944.796736644558 \tabularnewline
0.96 & 11550.0558101874 & 1029.08083140640 \tabularnewline
0.97 & 12176.7244339421 & 1040.95103285811 \tabularnewline
0.98 & 12851.6615369309 & 917.930506691028 \tabularnewline
0.99 & 13497.7797506316 & 792.993255576766 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74261&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]1603.33551673563[/C][C]56.1377590921906[/C][/ROW]
[ROW][C]0.02[/C][C]1646.36545280773[/C][C]55.5097228918323[/C][/ROW]
[ROW][C]0.03[/C][C]1692.00362116657[/C][C]78.8711592963267[/C][/ROW]
[ROW][C]0.04[/C][C]1745.71759349386[/C][C]124.054902052563[/C][/ROW]
[ROW][C]0.05[/C][C]1815.50094929760[/C][C]185.471410218656[/C][/ROW]
[ROW][C]0.06[/C][C]1905.16482074567[/C][C]248.489406684469[/C][/ROW]
[ROW][C]0.07[/C][C]2012.50550179414[/C][C]296.052031123942[/C][/ROW]
[ROW][C]0.08[/C][C]2130.30266324640[/C][C]317.939584295255[/C][/ROW]
[ROW][C]0.09[/C][C]2249.34057377549[/C][C]314.236053509249[/C][/ROW]
[ROW][C]0.1[/C][C]2361.64578690503[/C][C]292.463744280402[/C][/ROW]
[ROW][C]0.11[/C][C]2462.34311443318[/C][C]262.281327099039[/C][/ROW]
[ROW][C]0.12[/C][C]2549.80120887137[/C][C]231.475894219452[/C][/ROW]
[ROW][C]0.13[/C][C]2624.70523302406[/C][C]204.413352128024[/C][/ROW]
[ROW][C]0.14[/C][C]2688.87812449220[/C][C]182.393269983276[/C][/ROW]
[ROW][C]0.15[/C][C]2744.37308010602[/C][C]164.862927485590[/C][/ROW]
[ROW][C]0.16[/C][C]2792.99286628298[/C][C]150.663574802328[/C][/ROW]
[ROW][C]0.17[/C][C]2836.1618267139[/C][C]138.906399083818[/C][/ROW]
[ROW][C]0.18[/C][C]2874.99857193035[/C][C]129.277894004880[/C][/ROW]
[ROW][C]0.19[/C][C]2910.45250055671[/C][C]121.999248060518[/C][/ROW]
[ROW][C]0.2[/C][C]2943.4182413969[/C][C]117.524313475026[/C][/ROW]
[ROW][C]0.21[/C][C]2974.79346671355[/C][C]116.305291093623[/C][/ROW]
[ROW][C]0.22[/C][C]3005.48111067038[/C][C]118.561657435266[/C][/ROW]
[ROW][C]0.23[/C][C]3036.35375160769[/C][C]124.20013905953[/C][/ROW]
[ROW][C]0.24[/C][C]3068.20047260332[/C][C]132.804329623252[/C][/ROW]
[ROW][C]0.25[/C][C]3101.67221251675[/C][C]143.701176189005[/C][/ROW]
[ROW][C]0.26[/C][C]3137.23628479596[/C][C]156.017843442102[/C][/ROW]
[ROW][C]0.27[/C][C]3175.14694827966[/C][C]168.788791394811[/C][/ROW]
[ROW][C]0.28[/C][C]3215.43653307076[/C][C]181.054190216480[/C][/ROW]
[ROW][C]0.29[/C][C]3257.92942761739[/C][C]191.932907592169[/C][/ROW]
[ROW][C]0.3[/C][C]3302.27827637345[/C][C]200.765299876561[/C][/ROW]
[ROW][C]0.31[/C][C]3348.01797028669[/C][C]207.140819923003[/C][/ROW]
[ROW][C]0.32[/C][C]3394.62922860545[/C][C]210.985261935967[/C][/ROW]
[ROW][C]0.33[/C][C]3441.60100942825[/C][C]212.497082847756[/C][/ROW]
[ROW][C]0.34[/C][C]3488.48080253185[/C][C]212.074190858369[/C][/ROW]
[ROW][C]0.35[/C][C]3534.90459448128[/C][C]210.234472930106[/C][/ROW]
[ROW][C]0.36[/C][C]3580.60352179399[/C][C]207.442141199616[/C][/ROW]
[ROW][C]0.37[/C][C]3625.39052037312[/C][C]204.026344472833[/C][/ROW]
[ROW][C]0.38[/C][C]3669.13563805284[/C][C]200.127690212148[/C][/ROW]
[ROW][C]0.39[/C][C]3711.74125177151[/C][C]195.765975207649[/C][/ROW]
[ROW][C]0.4[/C][C]3753.12726666916[/C][C]190.888618312188[/C][/ROW]
[ROW][C]0.41[/C][C]3793.23183778597[/C][C]185.515072774709[/C][/ROW]
[ROW][C]0.42[/C][C]3832.0268400792[/C][C]179.822017655043[/C][/ROW]
[ROW][C]0.43[/C][C]3869.54145586574[/C][C]174.169445976154[/C][/ROW]
[ROW][C]0.44[/C][C]3905.88389288714[/C][C]169.069745509524[/C][/ROW]
[ROW][C]0.45[/C][C]3941.25148723265[/C][C]165.077653127466[/C][/ROW]
[ROW][C]0.46[/C][C]3975.92305953538[/C][C]162.6648009704[/C][/ROW]
[ROW][C]0.47[/C][C]4010.23297413063[/C][C]162.089242800020[/C][/ROW]
[ROW][C]0.48[/C][C]4044.53188951657[/C][C]163.304026025171[/C][/ROW]
[ROW][C]0.49[/C][C]4079.14284809841[/C][C]166.022721025312[/C][/ROW]
[ROW][C]0.5[/C][C]4114.32213256988[/C][C]169.738748857612[/C][/ROW]
[ROW][C]0.51[/C][C]4150.23233932275[/C][C]173.870824300196[/C][/ROW]
[ROW][C]0.52[/C][C]4186.93145951031[/C][C]177.872554103077[/C][/ROW]
[ROW][C]0.53[/C][C]4224.37790306617[/C][C]181.277653564845[/C][/ROW]
[ROW][C]0.54[/C][C]4262.4486083151[/C][C]183.756360928688[/C][/ROW]
[ROW][C]0.55[/C][C]4300.96621337809[/C][C]185.127764808168[/C][/ROW]
[ROW][C]0.56[/C][C]4339.73149020876[/C][C]185.360328152195[/C][/ROW]
[ROW][C]0.57[/C][C]4378.55808707609[/C][C]184.577345525482[/C][/ROW]
[ROW][C]0.58[/C][C]4417.30725204025[/C][C]183.054220707826[/C][/ROW]
[ROW][C]0.59[/C][C]4455.92014546654[/C][C]181.258438583592[/C][/ROW]
[ROW][C]0.6[/C][C]4494.44469345102[/C][C]179.737848025899[/C][/ROW]
[ROW][C]0.61[/C][C]4533.05327828438[/C][C]179.165521826876[/C][/ROW]
[ROW][C]0.62[/C][C]4572.0477006592[/C][C]180.206844012379[/C][/ROW]
[ROW][C]0.63[/C][C]4611.84942093271[/C][C]183.426900992621[/C][/ROW]
[ROW][C]0.64[/C][C]4652.97628443022[/C][C]189.206762966046[/C][/ROW]
[ROW][C]0.65[/C][C]4696.01132785173[/C][C]197.700316208372[/C][/ROW]
[ROW][C]0.66[/C][C]4741.57375527062[/C][C]208.853524302762[/C][/ROW]
[ROW][C]0.67[/C][C]4790.30510269676[/C][C]222.499756564251[/C][/ROW]
[ROW][C]0.68[/C][C]4842.88304545263[/C][C]238.576000079284[/C][/ROW]
[ROW][C]0.69[/C][C]4900.06958439255[/C][C]257.318016521289[/C][/ROW]
[ROW][C]0.7[/C][C]4962.78890647892[/C][C]279.428913651933[/C][/ROW]
[ROW][C]0.71[/C][C]5032.21450184803[/C][C]306.117857907539[/C][/ROW]
[ROW][C]0.72[/C][C]5109.82929117575[/C][C]338.915082142659[/C][/ROW]
[ROW][C]0.73[/C][C]5197.41336213072[/C][C]379.144283384433[/C][/ROW]
[ROW][C]0.74[/C][C]5296.91944082422[/C][C]427.303514937105[/C][/ROW]
[ROW][C]0.75[/C][C]5410.22261197152[/C][C]482.397670804885[/C][/ROW]
[ROW][C]0.76[/C][C]5538.77807071185[/C][C]541.581733577205[/C][/ROW]
[ROW][C]0.77[/C][C]5683.27855503483[/C][C]600.44690024425[/C][/ROW]
[ROW][C]0.78[/C][C]5843.44962576763[/C][C]653.881353274612[/C][/ROW]
[ROW][C]0.79[/C][C]6018.12695518942[/C][C]697.53566145977[/C][/ROW]
[ROW][C]0.8[/C][C]6205.70054030456[/C][C]729.553043105568[/C][/ROW]
[ROW][C]0.81[/C][C]6404.88249590932[/C][C]751.958049442694[/C][/ROW]
[ROW][C]0.82[/C][C]6615.58856403868[/C][C]771.037063161276[/C][/ROW]
[ROW][C]0.83[/C][C]6839.58416786438[/C][C]795.838935604245[/C][/ROW]
[ROW][C]0.84[/C][C]7080.5138882606[/C][C]834.685069973512[/C][/ROW]
[ROW][C]0.85[/C][C]7343.06766323651[/C][C]890.556063946626[/C][/ROW]
[ROW][C]0.86[/C][C]7631.34034775731[/C][C]958.025451131487[/C][/ROW]
[ROW][C]0.87[/C][C]7946.84192672285[/C][C]1023.64774434839[/C][/ROW]
[ROW][C]0.88[/C][C]8286.97225050158[/C][C]1069.95589852375[/C][/ROW]
[ROW][C]0.89[/C][C]8644.8985564402[/C][C]1081.68136527417[/C][/ROW]
[ROW][C]0.9[/C][C]9011.49052068999[/C][C]1052.7223949711[/C][/ROW]
[ROW][C]0.91[/C][C]9379.24088786225[/C][C]991.429976449494[/C][/ROW]
[ROW][C]0.92[/C][C]9747.16829484706[/C][C]921.261157150395[/C][/ROW]
[ROW][C]0.93[/C][C]10124.9436841143[/C][C]874.59642315567[/C][/ROW]
[ROW][C]0.94[/C][C]10533.9040578894[/C][C]880.143635712227[/C][/ROW]
[ROW][C]0.95[/C][C]11001.9176874755[/C][C]944.796736644558[/C][/ROW]
[ROW][C]0.96[/C][C]11550.0558101874[/C][C]1029.08083140640[/C][/ROW]
[ROW][C]0.97[/C][C]12176.7244339421[/C][C]1040.95103285811[/C][/ROW]
[ROW][C]0.98[/C][C]12851.6615369309[/C][C]917.930506691028[/C][/ROW]
[ROW][C]0.99[/C][C]13497.7797506316[/C][C]792.993255576766[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74261&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74261&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011603.3355167356356.1377590921906
0.021646.3654528077355.5097228918323
0.031692.0036211665778.8711592963267
0.041745.71759349386124.054902052563
0.051815.50094929760185.471410218656
0.061905.16482074567248.489406684469
0.072012.50550179414296.052031123942
0.082130.30266324640317.939584295255
0.092249.34057377549314.236053509249
0.12361.64578690503292.463744280402
0.112462.34311443318262.281327099039
0.122549.80120887137231.475894219452
0.132624.70523302406204.413352128024
0.142688.87812449220182.393269983276
0.152744.37308010602164.862927485590
0.162792.99286628298150.663574802328
0.172836.1618267139138.906399083818
0.182874.99857193035129.277894004880
0.192910.45250055671121.999248060518
0.22943.4182413969117.524313475026
0.212974.79346671355116.305291093623
0.223005.48111067038118.561657435266
0.233036.35375160769124.20013905953
0.243068.20047260332132.804329623252
0.253101.67221251675143.701176189005
0.263137.23628479596156.017843442102
0.273175.14694827966168.788791394811
0.283215.43653307076181.054190216480
0.293257.92942761739191.932907592169
0.33302.27827637345200.765299876561
0.313348.01797028669207.140819923003
0.323394.62922860545210.985261935967
0.333441.60100942825212.497082847756
0.343488.48080253185212.074190858369
0.353534.90459448128210.234472930106
0.363580.60352179399207.442141199616
0.373625.39052037312204.026344472833
0.383669.13563805284200.127690212148
0.393711.74125177151195.765975207649
0.43753.12726666916190.888618312188
0.413793.23183778597185.515072774709
0.423832.0268400792179.822017655043
0.433869.54145586574174.169445976154
0.443905.88389288714169.069745509524
0.453941.25148723265165.077653127466
0.463975.92305953538162.6648009704
0.474010.23297413063162.089242800020
0.484044.53188951657163.304026025171
0.494079.14284809841166.022721025312
0.54114.32213256988169.738748857612
0.514150.23233932275173.870824300196
0.524186.93145951031177.872554103077
0.534224.37790306617181.277653564845
0.544262.4486083151183.756360928688
0.554300.96621337809185.127764808168
0.564339.73149020876185.360328152195
0.574378.55808707609184.577345525482
0.584417.30725204025183.054220707826
0.594455.92014546654181.258438583592
0.64494.44469345102179.737848025899
0.614533.05327828438179.165521826876
0.624572.0477006592180.206844012379
0.634611.84942093271183.426900992621
0.644652.97628443022189.206762966046
0.654696.01132785173197.700316208372
0.664741.57375527062208.853524302762
0.674790.30510269676222.499756564251
0.684842.88304545263238.576000079284
0.694900.06958439255257.318016521289
0.74962.78890647892279.428913651933
0.715032.21450184803306.117857907539
0.725109.82929117575338.915082142659
0.735197.41336213072379.144283384433
0.745296.91944082422427.303514937105
0.755410.22261197152482.397670804885
0.765538.77807071185541.581733577205
0.775683.27855503483600.44690024425
0.785843.44962576763653.881353274612
0.796018.12695518942697.53566145977
0.86205.70054030456729.553043105568
0.816404.88249590932751.958049442694
0.826615.58856403868771.037063161276
0.836839.58416786438795.838935604245
0.847080.5138882606834.685069973512
0.857343.06766323651890.556063946626
0.867631.34034775731958.025451131487
0.877946.841926722851023.64774434839
0.888286.972250501581069.95589852375
0.898644.89855644021081.68136527417
0.99011.490520689991052.7223949711
0.919379.24088786225991.429976449494
0.929747.16829484706921.261157150395
0.9310124.9436841143874.59642315567
0.9410533.9040578894880.143635712227
0.9511001.9176874755944.796736644558
0.9611550.05581018741029.08083140640
0.9712176.72443394211040.95103285811
0.9812851.6615369309917.930506691028
0.9913497.7797506316792.993255576766



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')