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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 computationTue, 01 Mar 2011 10:36:43 +0000
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/Mar/01/t1298975639vks9nwnensve5er.htm/, Retrieved Sat, 11 May 2024 22:58:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119441, Retrieved Sat, 11 May 2024 22:58:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169

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] [] [2011-03-01 10:32:40] [81cdd92b187c11fcf96d69ee16e5a9b7]
- R P     [Harrell-Davis Quantiles] [] [2011-03-01 10:36:43] [cbd72b4390db0347015264c7aa42331b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
30790
30800
31025
30835
31110
31270
31090
30755
31460
32135
32680
32700
32515
32275
32200
31835
31985
31875
31795
32260
33255
33160
32195
33130
33950
34210
33855
33735
34175
34265
33915
33660
33720
33810
33590
33545
33660
33165
33800
33880
33975
33930
33905
33890
33640
34395
34245
33940
34295
33745
33535
33715
33600
34120
34330
34130
33755
32910
32910
32850
32780
32565
31905
31975
31380
31355
31440
30310
31410
31300
31070
31075
31815

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'Gwilym Jenkins' @ www.wessa.org

\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' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119441&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' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119441&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119441&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'Gwilym Jenkins' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0130426.6282000946337.638262464581
0.0230575.1993515282214.131585718489
0.0330695.4059584079129.55827562913
0.0430777.2960312386100.323304070925
0.0530835.4179880169105.863186949458
0.0630884.0193994081118.515291927564
0.0730929.9568765585126.271826050283
0.0830974.761339732127.591390712912
0.0931017.9970746825125.51948785397
0.131059.2513353832124.068265994911
0.1131098.7358391326125.723983804976
0.1231137.1315545383130.725516169495
0.1331175.227064155137.754400679423
0.1431213.6567245278145.555529166728
0.1531252.8243463165153.477557057431
0.1631292.9622587279161.666732156599
0.1731334.2307058925170.626199247175
0.1831376.7821147389180.785715002511
0.1931420.7613285185192.008982926786
0.231466.2555853849203.61582815379
0.2131513.2306796491214.541022065929
0.2231561.4901994147223.60559597317
0.2331610.6797613339229.96614924326
0.2431660.3377574739233.276047502703
0.2531709.9770803121233.822478834909
0.2631759.1737276154232.234489110391
0.2731807.6390246346229.597202588378
0.2831855.2600270778227.084528332257
0.2931902.1034175477225.632645708659
0.331948.3879068067225.935962442226
0.3131994.4361894874228.33786568876
0.3232040.6191304272232.771280960122
0.3332087.3029218938239.031989481217
0.3432134.8061668742246.694833523248
0.3532183.3699504998255.199913549577
0.3632233.1411170337264.082016812223
0.3732284.1675188658272.699250110027
0.3832336.4036205574280.622697680244
0.3932389.7248841857287.40878023571
0.432443.9492565019292.844334040518
0.4132498.8635643036296.776479316282
0.4232554.251813349299.277411923452
0.4332609.9216432963300.647599566265
0.4432665.7249317821301.231140729304
0.4532721.5690388437301.422501731986
0.4632777.4164650519301.658376982874
0.4732833.2725447485302.117118306962
0.4832889.162834668302.934598370473
0.4932945.1036787982303.873142535639
0.533001.0706957713304.663412355119
0.5133056.9704403751304.747634449244
0.5233112.6201729906303.575128875285
0.5333167.739588386300.53602699515
0.5433221.9566611947294.997891149397
0.5533274.8276881434286.718341612957
0.5633325.8694390132275.435561663256
0.5733374.599405928261.309028383233
0.5833420.5788022686244.692900870272
0.5933463.4524806715226.168857802564
0.633502.9804425074206.460844319223
0.6133539.0570250254186.435308200063
0.6233571.7158929821166.892277462687
0.6333601.1211928184148.562911589346
0.6433627.5471743172132.075524121985
0.6533651.3498674602117.794282835672
0.6633672.9348442109105.90662872926
0.6733692.724764010396.544062738478
0.6833711.129569272989.4411479921035
0.6933728.521229987384.3080211430486
0.733745.21416220580.7937671529127
0.7133761.452040984878.4921652711168
0.7233777.401673425976.8711929250666
0.7333793.154702159875.5277930403088
0.7433808.73790387374.0738393192608
0.7533824.132486478572.3354301908476
0.7633839.301932137670.1623306311574
0.7733854.226570633567.6972716823016
0.7833868.941299192865.1712201406051
0.7933883.570886857763.0950810465369
0.833898.35544482462.0479526366821
0.8133913.657477276862.6815318820933
0.8233929.942337259165.5282488917666
0.8333947.726983712670.702118876252
0.8433967.49845193877.8096737610302
0.8533989.613034053785.9756432659572
0.8634014.19747375393.9270341553582
0.8734041.0801980695100.198905183541
0.8834069.7789616968103.551487782384
0.8934099.5589105085103.207675395669
0.934129.554820812999.0568247427893
0.9134158.931460109691.682215515909
0.9234187.046817099782.1959242838703
0.9334213.590575749571.9066174587027
0.9434238.692777356762.149005647297
0.9534263.019898218354.0956992208952
0.9634287.842285272348.7007858971343
0.9734314.825375416246.8021501663788
0.9834344.779243647349.4282276694959
0.9934374.618941141656.6973831122496

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 30426.6282000946 & 337.638262464581 \tabularnewline
0.02 & 30575.1993515282 & 214.131585718489 \tabularnewline
0.03 & 30695.4059584079 & 129.55827562913 \tabularnewline
0.04 & 30777.2960312386 & 100.323304070925 \tabularnewline
0.05 & 30835.4179880169 & 105.863186949458 \tabularnewline
0.06 & 30884.0193994081 & 118.515291927564 \tabularnewline
0.07 & 30929.9568765585 & 126.271826050283 \tabularnewline
0.08 & 30974.761339732 & 127.591390712912 \tabularnewline
0.09 & 31017.9970746825 & 125.51948785397 \tabularnewline
0.1 & 31059.2513353832 & 124.068265994911 \tabularnewline
0.11 & 31098.7358391326 & 125.723983804976 \tabularnewline
0.12 & 31137.1315545383 & 130.725516169495 \tabularnewline
0.13 & 31175.227064155 & 137.754400679423 \tabularnewline
0.14 & 31213.6567245278 & 145.555529166728 \tabularnewline
0.15 & 31252.8243463165 & 153.477557057431 \tabularnewline
0.16 & 31292.9622587279 & 161.666732156599 \tabularnewline
0.17 & 31334.2307058925 & 170.626199247175 \tabularnewline
0.18 & 31376.7821147389 & 180.785715002511 \tabularnewline
0.19 & 31420.7613285185 & 192.008982926786 \tabularnewline
0.2 & 31466.2555853849 & 203.61582815379 \tabularnewline
0.21 & 31513.2306796491 & 214.541022065929 \tabularnewline
0.22 & 31561.4901994147 & 223.60559597317 \tabularnewline
0.23 & 31610.6797613339 & 229.96614924326 \tabularnewline
0.24 & 31660.3377574739 & 233.276047502703 \tabularnewline
0.25 & 31709.9770803121 & 233.822478834909 \tabularnewline
0.26 & 31759.1737276154 & 232.234489110391 \tabularnewline
0.27 & 31807.6390246346 & 229.597202588378 \tabularnewline
0.28 & 31855.2600270778 & 227.084528332257 \tabularnewline
0.29 & 31902.1034175477 & 225.632645708659 \tabularnewline
0.3 & 31948.3879068067 & 225.935962442226 \tabularnewline
0.31 & 31994.4361894874 & 228.33786568876 \tabularnewline
0.32 & 32040.6191304272 & 232.771280960122 \tabularnewline
0.33 & 32087.3029218938 & 239.031989481217 \tabularnewline
0.34 & 32134.8061668742 & 246.694833523248 \tabularnewline
0.35 & 32183.3699504998 & 255.199913549577 \tabularnewline
0.36 & 32233.1411170337 & 264.082016812223 \tabularnewline
0.37 & 32284.1675188658 & 272.699250110027 \tabularnewline
0.38 & 32336.4036205574 & 280.622697680244 \tabularnewline
0.39 & 32389.7248841857 & 287.40878023571 \tabularnewline
0.4 & 32443.9492565019 & 292.844334040518 \tabularnewline
0.41 & 32498.8635643036 & 296.776479316282 \tabularnewline
0.42 & 32554.251813349 & 299.277411923452 \tabularnewline
0.43 & 32609.9216432963 & 300.647599566265 \tabularnewline
0.44 & 32665.7249317821 & 301.231140729304 \tabularnewline
0.45 & 32721.5690388437 & 301.422501731986 \tabularnewline
0.46 & 32777.4164650519 & 301.658376982874 \tabularnewline
0.47 & 32833.2725447485 & 302.117118306962 \tabularnewline
0.48 & 32889.162834668 & 302.934598370473 \tabularnewline
0.49 & 32945.1036787982 & 303.873142535639 \tabularnewline
0.5 & 33001.0706957713 & 304.663412355119 \tabularnewline
0.51 & 33056.9704403751 & 304.747634449244 \tabularnewline
0.52 & 33112.6201729906 & 303.575128875285 \tabularnewline
0.53 & 33167.739588386 & 300.53602699515 \tabularnewline
0.54 & 33221.9566611947 & 294.997891149397 \tabularnewline
0.55 & 33274.8276881434 & 286.718341612957 \tabularnewline
0.56 & 33325.8694390132 & 275.435561663256 \tabularnewline
0.57 & 33374.599405928 & 261.309028383233 \tabularnewline
0.58 & 33420.5788022686 & 244.692900870272 \tabularnewline
0.59 & 33463.4524806715 & 226.168857802564 \tabularnewline
0.6 & 33502.9804425074 & 206.460844319223 \tabularnewline
0.61 & 33539.0570250254 & 186.435308200063 \tabularnewline
0.62 & 33571.7158929821 & 166.892277462687 \tabularnewline
0.63 & 33601.1211928184 & 148.562911589346 \tabularnewline
0.64 & 33627.5471743172 & 132.075524121985 \tabularnewline
0.65 & 33651.3498674602 & 117.794282835672 \tabularnewline
0.66 & 33672.9348442109 & 105.90662872926 \tabularnewline
0.67 & 33692.7247640103 & 96.544062738478 \tabularnewline
0.68 & 33711.1295692729 & 89.4411479921035 \tabularnewline
0.69 & 33728.5212299873 & 84.3080211430486 \tabularnewline
0.7 & 33745.214162205 & 80.7937671529127 \tabularnewline
0.71 & 33761.4520409848 & 78.4921652711168 \tabularnewline
0.72 & 33777.4016734259 & 76.8711929250666 \tabularnewline
0.73 & 33793.1547021598 & 75.5277930403088 \tabularnewline
0.74 & 33808.737903873 & 74.0738393192608 \tabularnewline
0.75 & 33824.1324864785 & 72.3354301908476 \tabularnewline
0.76 & 33839.3019321376 & 70.1623306311574 \tabularnewline
0.77 & 33854.2265706335 & 67.6972716823016 \tabularnewline
0.78 & 33868.9412991928 & 65.1712201406051 \tabularnewline
0.79 & 33883.5708868577 & 63.0950810465369 \tabularnewline
0.8 & 33898.355444824 & 62.0479526366821 \tabularnewline
0.81 & 33913.6574772768 & 62.6815318820933 \tabularnewline
0.82 & 33929.9423372591 & 65.5282488917666 \tabularnewline
0.83 & 33947.7269837126 & 70.702118876252 \tabularnewline
0.84 & 33967.498451938 & 77.8096737610302 \tabularnewline
0.85 & 33989.6130340537 & 85.9756432659572 \tabularnewline
0.86 & 34014.197473753 & 93.9270341553582 \tabularnewline
0.87 & 34041.0801980695 & 100.198905183541 \tabularnewline
0.88 & 34069.7789616968 & 103.551487782384 \tabularnewline
0.89 & 34099.5589105085 & 103.207675395669 \tabularnewline
0.9 & 34129.5548208129 & 99.0568247427893 \tabularnewline
0.91 & 34158.9314601096 & 91.682215515909 \tabularnewline
0.92 & 34187.0468170997 & 82.1959242838703 \tabularnewline
0.93 & 34213.5905757495 & 71.9066174587027 \tabularnewline
0.94 & 34238.6927773567 & 62.149005647297 \tabularnewline
0.95 & 34263.0198982183 & 54.0956992208952 \tabularnewline
0.96 & 34287.8422852723 & 48.7007858971343 \tabularnewline
0.97 & 34314.8253754162 & 46.8021501663788 \tabularnewline
0.98 & 34344.7792436473 & 49.4282276694959 \tabularnewline
0.99 & 34374.6189411416 & 56.6973831122496 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119441&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]30426.6282000946[/C][C]337.638262464581[/C][/ROW]
[ROW][C]0.02[/C][C]30575.1993515282[/C][C]214.131585718489[/C][/ROW]
[ROW][C]0.03[/C][C]30695.4059584079[/C][C]129.55827562913[/C][/ROW]
[ROW][C]0.04[/C][C]30777.2960312386[/C][C]100.323304070925[/C][/ROW]
[ROW][C]0.05[/C][C]30835.4179880169[/C][C]105.863186949458[/C][/ROW]
[ROW][C]0.06[/C][C]30884.0193994081[/C][C]118.515291927564[/C][/ROW]
[ROW][C]0.07[/C][C]30929.9568765585[/C][C]126.271826050283[/C][/ROW]
[ROW][C]0.08[/C][C]30974.761339732[/C][C]127.591390712912[/C][/ROW]
[ROW][C]0.09[/C][C]31017.9970746825[/C][C]125.51948785397[/C][/ROW]
[ROW][C]0.1[/C][C]31059.2513353832[/C][C]124.068265994911[/C][/ROW]
[ROW][C]0.11[/C][C]31098.7358391326[/C][C]125.723983804976[/C][/ROW]
[ROW][C]0.12[/C][C]31137.1315545383[/C][C]130.725516169495[/C][/ROW]
[ROW][C]0.13[/C][C]31175.227064155[/C][C]137.754400679423[/C][/ROW]
[ROW][C]0.14[/C][C]31213.6567245278[/C][C]145.555529166728[/C][/ROW]
[ROW][C]0.15[/C][C]31252.8243463165[/C][C]153.477557057431[/C][/ROW]
[ROW][C]0.16[/C][C]31292.9622587279[/C][C]161.666732156599[/C][/ROW]
[ROW][C]0.17[/C][C]31334.2307058925[/C][C]170.626199247175[/C][/ROW]
[ROW][C]0.18[/C][C]31376.7821147389[/C][C]180.785715002511[/C][/ROW]
[ROW][C]0.19[/C][C]31420.7613285185[/C][C]192.008982926786[/C][/ROW]
[ROW][C]0.2[/C][C]31466.2555853849[/C][C]203.61582815379[/C][/ROW]
[ROW][C]0.21[/C][C]31513.2306796491[/C][C]214.541022065929[/C][/ROW]
[ROW][C]0.22[/C][C]31561.4901994147[/C][C]223.60559597317[/C][/ROW]
[ROW][C]0.23[/C][C]31610.6797613339[/C][C]229.96614924326[/C][/ROW]
[ROW][C]0.24[/C][C]31660.3377574739[/C][C]233.276047502703[/C][/ROW]
[ROW][C]0.25[/C][C]31709.9770803121[/C][C]233.822478834909[/C][/ROW]
[ROW][C]0.26[/C][C]31759.1737276154[/C][C]232.234489110391[/C][/ROW]
[ROW][C]0.27[/C][C]31807.6390246346[/C][C]229.597202588378[/C][/ROW]
[ROW][C]0.28[/C][C]31855.2600270778[/C][C]227.084528332257[/C][/ROW]
[ROW][C]0.29[/C][C]31902.1034175477[/C][C]225.632645708659[/C][/ROW]
[ROW][C]0.3[/C][C]31948.3879068067[/C][C]225.935962442226[/C][/ROW]
[ROW][C]0.31[/C][C]31994.4361894874[/C][C]228.33786568876[/C][/ROW]
[ROW][C]0.32[/C][C]32040.6191304272[/C][C]232.771280960122[/C][/ROW]
[ROW][C]0.33[/C][C]32087.3029218938[/C][C]239.031989481217[/C][/ROW]
[ROW][C]0.34[/C][C]32134.8061668742[/C][C]246.694833523248[/C][/ROW]
[ROW][C]0.35[/C][C]32183.3699504998[/C][C]255.199913549577[/C][/ROW]
[ROW][C]0.36[/C][C]32233.1411170337[/C][C]264.082016812223[/C][/ROW]
[ROW][C]0.37[/C][C]32284.1675188658[/C][C]272.699250110027[/C][/ROW]
[ROW][C]0.38[/C][C]32336.4036205574[/C][C]280.622697680244[/C][/ROW]
[ROW][C]0.39[/C][C]32389.7248841857[/C][C]287.40878023571[/C][/ROW]
[ROW][C]0.4[/C][C]32443.9492565019[/C][C]292.844334040518[/C][/ROW]
[ROW][C]0.41[/C][C]32498.8635643036[/C][C]296.776479316282[/C][/ROW]
[ROW][C]0.42[/C][C]32554.251813349[/C][C]299.277411923452[/C][/ROW]
[ROW][C]0.43[/C][C]32609.9216432963[/C][C]300.647599566265[/C][/ROW]
[ROW][C]0.44[/C][C]32665.7249317821[/C][C]301.231140729304[/C][/ROW]
[ROW][C]0.45[/C][C]32721.5690388437[/C][C]301.422501731986[/C][/ROW]
[ROW][C]0.46[/C][C]32777.4164650519[/C][C]301.658376982874[/C][/ROW]
[ROW][C]0.47[/C][C]32833.2725447485[/C][C]302.117118306962[/C][/ROW]
[ROW][C]0.48[/C][C]32889.162834668[/C][C]302.934598370473[/C][/ROW]
[ROW][C]0.49[/C][C]32945.1036787982[/C][C]303.873142535639[/C][/ROW]
[ROW][C]0.5[/C][C]33001.0706957713[/C][C]304.663412355119[/C][/ROW]
[ROW][C]0.51[/C][C]33056.9704403751[/C][C]304.747634449244[/C][/ROW]
[ROW][C]0.52[/C][C]33112.6201729906[/C][C]303.575128875285[/C][/ROW]
[ROW][C]0.53[/C][C]33167.739588386[/C][C]300.53602699515[/C][/ROW]
[ROW][C]0.54[/C][C]33221.9566611947[/C][C]294.997891149397[/C][/ROW]
[ROW][C]0.55[/C][C]33274.8276881434[/C][C]286.718341612957[/C][/ROW]
[ROW][C]0.56[/C][C]33325.8694390132[/C][C]275.435561663256[/C][/ROW]
[ROW][C]0.57[/C][C]33374.599405928[/C][C]261.309028383233[/C][/ROW]
[ROW][C]0.58[/C][C]33420.5788022686[/C][C]244.692900870272[/C][/ROW]
[ROW][C]0.59[/C][C]33463.4524806715[/C][C]226.168857802564[/C][/ROW]
[ROW][C]0.6[/C][C]33502.9804425074[/C][C]206.460844319223[/C][/ROW]
[ROW][C]0.61[/C][C]33539.0570250254[/C][C]186.435308200063[/C][/ROW]
[ROW][C]0.62[/C][C]33571.7158929821[/C][C]166.892277462687[/C][/ROW]
[ROW][C]0.63[/C][C]33601.1211928184[/C][C]148.562911589346[/C][/ROW]
[ROW][C]0.64[/C][C]33627.5471743172[/C][C]132.075524121985[/C][/ROW]
[ROW][C]0.65[/C][C]33651.3498674602[/C][C]117.794282835672[/C][/ROW]
[ROW][C]0.66[/C][C]33672.9348442109[/C][C]105.90662872926[/C][/ROW]
[ROW][C]0.67[/C][C]33692.7247640103[/C][C]96.544062738478[/C][/ROW]
[ROW][C]0.68[/C][C]33711.1295692729[/C][C]89.4411479921035[/C][/ROW]
[ROW][C]0.69[/C][C]33728.5212299873[/C][C]84.3080211430486[/C][/ROW]
[ROW][C]0.7[/C][C]33745.214162205[/C][C]80.7937671529127[/C][/ROW]
[ROW][C]0.71[/C][C]33761.4520409848[/C][C]78.4921652711168[/C][/ROW]
[ROW][C]0.72[/C][C]33777.4016734259[/C][C]76.8711929250666[/C][/ROW]
[ROW][C]0.73[/C][C]33793.1547021598[/C][C]75.5277930403088[/C][/ROW]
[ROW][C]0.74[/C][C]33808.737903873[/C][C]74.0738393192608[/C][/ROW]
[ROW][C]0.75[/C][C]33824.1324864785[/C][C]72.3354301908476[/C][/ROW]
[ROW][C]0.76[/C][C]33839.3019321376[/C][C]70.1623306311574[/C][/ROW]
[ROW][C]0.77[/C][C]33854.2265706335[/C][C]67.6972716823016[/C][/ROW]
[ROW][C]0.78[/C][C]33868.9412991928[/C][C]65.1712201406051[/C][/ROW]
[ROW][C]0.79[/C][C]33883.5708868577[/C][C]63.0950810465369[/C][/ROW]
[ROW][C]0.8[/C][C]33898.355444824[/C][C]62.0479526366821[/C][/ROW]
[ROW][C]0.81[/C][C]33913.6574772768[/C][C]62.6815318820933[/C][/ROW]
[ROW][C]0.82[/C][C]33929.9423372591[/C][C]65.5282488917666[/C][/ROW]
[ROW][C]0.83[/C][C]33947.7269837126[/C][C]70.702118876252[/C][/ROW]
[ROW][C]0.84[/C][C]33967.498451938[/C][C]77.8096737610302[/C][/ROW]
[ROW][C]0.85[/C][C]33989.6130340537[/C][C]85.9756432659572[/C][/ROW]
[ROW][C]0.86[/C][C]34014.197473753[/C][C]93.9270341553582[/C][/ROW]
[ROW][C]0.87[/C][C]34041.0801980695[/C][C]100.198905183541[/C][/ROW]
[ROW][C]0.88[/C][C]34069.7789616968[/C][C]103.551487782384[/C][/ROW]
[ROW][C]0.89[/C][C]34099.5589105085[/C][C]103.207675395669[/C][/ROW]
[ROW][C]0.9[/C][C]34129.5548208129[/C][C]99.0568247427893[/C][/ROW]
[ROW][C]0.91[/C][C]34158.9314601096[/C][C]91.682215515909[/C][/ROW]
[ROW][C]0.92[/C][C]34187.0468170997[/C][C]82.1959242838703[/C][/ROW]
[ROW][C]0.93[/C][C]34213.5905757495[/C][C]71.9066174587027[/C][/ROW]
[ROW][C]0.94[/C][C]34238.6927773567[/C][C]62.149005647297[/C][/ROW]
[ROW][C]0.95[/C][C]34263.0198982183[/C][C]54.0956992208952[/C][/ROW]
[ROW][C]0.96[/C][C]34287.8422852723[/C][C]48.7007858971343[/C][/ROW]
[ROW][C]0.97[/C][C]34314.8253754162[/C][C]46.8021501663788[/C][/ROW]
[ROW][C]0.98[/C][C]34344.7792436473[/C][C]49.4282276694959[/C][/ROW]
[ROW][C]0.99[/C][C]34374.6189411416[/C][C]56.6973831122496[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119441&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119441&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
0.0130426.6282000946337.638262464581
0.0230575.1993515282214.131585718489
0.0330695.4059584079129.55827562913
0.0430777.2960312386100.323304070925
0.0530835.4179880169105.863186949458
0.0630884.0193994081118.515291927564
0.0730929.9568765585126.271826050283
0.0830974.761339732127.591390712912
0.0931017.9970746825125.51948785397
0.131059.2513353832124.068265994911
0.1131098.7358391326125.723983804976
0.1231137.1315545383130.725516169495
0.1331175.227064155137.754400679423
0.1431213.6567245278145.555529166728
0.1531252.8243463165153.477557057431
0.1631292.9622587279161.666732156599
0.1731334.2307058925170.626199247175
0.1831376.7821147389180.785715002511
0.1931420.7613285185192.008982926786
0.231466.2555853849203.61582815379
0.2131513.2306796491214.541022065929
0.2231561.4901994147223.60559597317
0.2331610.6797613339229.96614924326
0.2431660.3377574739233.276047502703
0.2531709.9770803121233.822478834909
0.2631759.1737276154232.234489110391
0.2731807.6390246346229.597202588378
0.2831855.2600270778227.084528332257
0.2931902.1034175477225.632645708659
0.331948.3879068067225.935962442226
0.3131994.4361894874228.33786568876
0.3232040.6191304272232.771280960122
0.3332087.3029218938239.031989481217
0.3432134.8061668742246.694833523248
0.3532183.3699504998255.199913549577
0.3632233.1411170337264.082016812223
0.3732284.1675188658272.699250110027
0.3832336.4036205574280.622697680244
0.3932389.7248841857287.40878023571
0.432443.9492565019292.844334040518
0.4132498.8635643036296.776479316282
0.4232554.251813349299.277411923452
0.4332609.9216432963300.647599566265
0.4432665.7249317821301.231140729304
0.4532721.5690388437301.422501731986
0.4632777.4164650519301.658376982874
0.4732833.2725447485302.117118306962
0.4832889.162834668302.934598370473
0.4932945.1036787982303.873142535639
0.533001.0706957713304.663412355119
0.5133056.9704403751304.747634449244
0.5233112.6201729906303.575128875285
0.5333167.739588386300.53602699515
0.5433221.9566611947294.997891149397
0.5533274.8276881434286.718341612957
0.5633325.8694390132275.435561663256
0.5733374.599405928261.309028383233
0.5833420.5788022686244.692900870272
0.5933463.4524806715226.168857802564
0.633502.9804425074206.460844319223
0.6133539.0570250254186.435308200063
0.6233571.7158929821166.892277462687
0.6333601.1211928184148.562911589346
0.6433627.5471743172132.075524121985
0.6533651.3498674602117.794282835672
0.6633672.9348442109105.90662872926
0.6733692.724764010396.544062738478
0.6833711.129569272989.4411479921035
0.6933728.521229987384.3080211430486
0.733745.21416220580.7937671529127
0.7133761.452040984878.4921652711168
0.7233777.401673425976.8711929250666
0.7333793.154702159875.5277930403088
0.7433808.73790387374.0738393192608
0.7533824.132486478572.3354301908476
0.7633839.301932137670.1623306311574
0.7733854.226570633567.6972716823016
0.7833868.941299192865.1712201406051
0.7933883.570886857763.0950810465369
0.833898.35544482462.0479526366821
0.8133913.657477276862.6815318820933
0.8233929.942337259165.5282488917666
0.8333947.726983712670.702118876252
0.8433967.49845193877.8096737610302
0.8533989.613034053785.9756432659572
0.8634014.19747375393.9270341553582
0.8734041.0801980695100.198905183541
0.8834069.7789616968103.551487782384
0.8934099.5589105085103.207675395669
0.934129.554820812999.0568247427893
0.9134158.931460109691.682215515909
0.9234187.046817099782.1959242838703
0.9334213.590575749571.9066174587027
0.9434238.692777356762.149005647297
0.9534263.019898218354.0956992208952
0.9634287.842285272348.7007858971343
0.9734314.825375416246.8021501663788
0.9834344.779243647349.4282276694959
0.9934374.618941141656.6973831122496


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')