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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 26 Oct 2008 14:03:06 -0600
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/Oct/26/t1225051534p5xm85viko5fpvy.htm/, Retrieved Sun, 19 May 2024 13:00:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19051, Retrieved Sun, 19 May 2024 13:00:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD    [Harrell-Davis Quantiles] [Q9] [2008-10-26 20:03:06] [14a75ec03b2c0d8ddd8b141a7b1594fd] [Current]
- R PD      [Harrell-Davis Quantiles] [Verbetering Q9] [2008-10-30 16:46:14] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
Feedback Forum
2008-10-30 16:48:46 [Kenny Simons] [reply] 
De berekening die ik hier gemaakt heb zijn nogal omslachtig, dit kan ook eenvoudiger door namelijk de reeks te manipuleren in de R-code. We moeten in de R-code ons X verminderen met het gemiddelde van de tijdreeks. Als we dan onze step size naar 0.005 zetten kunnen we het resultaat aflezen bij 2,5% en 97,5%
Hier vind je de link waar je het antwoord kan aflezen:
http://www.freestatistics.org/blog/index.php?v=date/2008/Oct/30/t1225385273a58265vt65ecdzu.htm

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,793120172
0,792404046
0,798733277
0,792472927
0,801583754
0,800779967
0,796457292
0,794236111
0,786619647
0,7909731
0,784395274
0,795456132
0,805038314
0,799336464
0,807777892
0,809105332
0,809935895
0,809730841
0,810919757
0,800497147
0,785970882
0,826728976
0,827939046
0,831805591
0,833033335
0,835898213
0,833649002
0,835830216
0,83329087
0,83497378
0,823182477
0,827437378
0,824557069
0,827703169
0,829068243
0,827612041
0,831136868
0,833317282
0,825606365
0,833879102
0,82990246
0,82831348
0,829989621
0,832772975
0,826000887
0,827872063
0,828840441
0,828814107
0,832422325
0,840413025
0,832671665
0,830154726
0,837680443
0,822135395
0,833747382
0,834151327
0,823301409
0,828700587
0,834911097
0,83463772

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' @ 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19051&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19051&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19051&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.7848341360696130.00154963069277415
0.020.7855760967559960.00178267036984324
0.030.7865091116001210.00222117922481069
0.040.7875417442709650.00261695868042064
0.050.7886041334759130.00280192442921692
0.060.7896383071058250.00276073928884674
0.070.7906013504086030.00258084070047795
0.080.791472732890870.00237849218940587
0.090.7922552914997680.00224718228362039
0.10.7929685797896960.00222583678739412
0.110.7936390514305630.00230404682590230
0.120.7942916972421480.00244610154722775
0.130.7949453366723520.00261811617719329
0.140.795611491850280.00279408575739466
0.150.7962956350743230.00296169219553150
0.160.796999447608260.00311942608949175
0.170.7977230726043350.00327410496375745
0.180.7984668005566260.00343508791537460
0.190.7992320014232360.00361263549986366
0.20.8000213640622530.00381365529617412
0.210.8008386344302230.00404230310725763
0.220.8016880865308410.00429826214161523
0.230.8025739386724430.00457507084393041
0.240.80349986370410.00486853037543008
0.250.8044686581731510.00517231791475393
0.260.8054820558340.00548076516806652
0.270.8065406170327730.00579062787131191
0.280.8076436101644040.00609590673059483
0.290.80878882520110.00639092736395002
0.30.8099723103705040.0066634475990625
0.310.811188081381150.00689846001676391
0.320.8124278967836630.0070793598207494
0.330.8136812073857830.00719044566684258
0.340.8149353667100650.00721402534194691
0.350.8161761392717940.00714249780771988
0.360.8173884786667650.00697012226336994
0.370.8185574864045550.00670033260291142
0.380.8196694212912440.00634526796297489
0.390.820712617546260.00591902055395293
0.40.821678188707080.00544342441130138
0.410.8225604368228530.00493967748093599
0.420.8233569405276910.00442886113596065
0.430.8240683481838220.00392982577568854
0.440.8246979426022120.00345736062836421
0.450.825251065726120.00302282791933871
0.460.8257344942209360.00263209213561086
0.470.8261558436928320.00228917792881623
0.480.826523056416490.00199352702902731
0.490.8268440017054090.00174370604721458
0.50.827126194981140.00153614820270521
0.510.8273766246362730.00136798323041063
0.520.8276016660636750.00123581932272885
0.530.8278070589778760.00113441330340563
0.540.827997925510850.00106248476388117
0.550.8281788103607820.00101511647993454
0.560.8283537286922920.000990503354154224
0.570.8285262114007240.000984851650667338
0.580.828699340368610.000995860931299337
0.590.8288757686345360.00102085386218802
0.60.8290577224338270.00105733846786719
0.610.8292469843431340.00110252742500917
0.620.829444859556310.00115339912713784
0.630.8296521306091220.00120697813007034
0.640.8298690092911060.00125963964457297
0.650.8300950973975850.00130789648178625
0.660.8303293696086560.00134771327761919
0.670.8305701914063820.00137588533652104
0.680.8308153820857210.00138965345329122
0.690.831062327563930.00138583088364580
0.70.8313081404190810.00136481768056375
0.710.8315498565517740.00132529962763482
0.720.8317846506468190.00126967383484990
0.730.832010047879020.00120013567227342
0.740.832224108361860.00112000280095347
0.750.8324255641873320.00103465032771705
0.760.832613895988410.000947947551713821
0.770.8327893451638920.0008641286196231
0.780.8329528669572660.000787434300585478
0.790.8331060362099990.000720251390766254
0.80.8332509203902010.00066500416432454
0.810.8333899335365510.00062333101385361
0.820.8335256819026270.000594908471503893
0.830.8336608103773430.000579277102740175
0.840.8337978610735620.000574953292314935
0.850.8339391628570870.000579602258319008
0.860.8340867812921570.000590760779793036
0.870.8342425691939320.000605060752186208
0.880.8344083677014150.00062062065173316
0.890.8345864223059290.000637263196900146
0.90.8347801095745090.000656682831467067
0.910.8349951237844270.000683083147518965
0.920.8352413181234770.000723852882449014
0.930.8355353178293860.000792439449719554
0.940.8359035338010530.000908431165715071
0.950.8363836981090830.00109303073007739
0.960.8370196697552060.00135553013217727
0.970.837839450664770.00168638406056776
0.980.8388067010989670.00206100196872079
0.990.8397596429843630.00242866643468568

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.784834136069613 & 0.00154963069277415 \tabularnewline
0.02 & 0.785576096755996 & 0.00178267036984324 \tabularnewline
0.03 & 0.786509111600121 & 0.00222117922481069 \tabularnewline
0.04 & 0.787541744270965 & 0.00261695868042064 \tabularnewline
0.05 & 0.788604133475913 & 0.00280192442921692 \tabularnewline
0.06 & 0.789638307105825 & 0.00276073928884674 \tabularnewline
0.07 & 0.790601350408603 & 0.00258084070047795 \tabularnewline
0.08 & 0.79147273289087 & 0.00237849218940587 \tabularnewline
0.09 & 0.792255291499768 & 0.00224718228362039 \tabularnewline
0.1 & 0.792968579789696 & 0.00222583678739412 \tabularnewline
0.11 & 0.793639051430563 & 0.00230404682590230 \tabularnewline
0.12 & 0.794291697242148 & 0.00244610154722775 \tabularnewline
0.13 & 0.794945336672352 & 0.00261811617719329 \tabularnewline
0.14 & 0.79561149185028 & 0.00279408575739466 \tabularnewline
0.15 & 0.796295635074323 & 0.00296169219553150 \tabularnewline
0.16 & 0.79699944760826 & 0.00311942608949175 \tabularnewline
0.17 & 0.797723072604335 & 0.00327410496375745 \tabularnewline
0.18 & 0.798466800556626 & 0.00343508791537460 \tabularnewline
0.19 & 0.799232001423236 & 0.00361263549986366 \tabularnewline
0.2 & 0.800021364062253 & 0.00381365529617412 \tabularnewline
0.21 & 0.800838634430223 & 0.00404230310725763 \tabularnewline
0.22 & 0.801688086530841 & 0.00429826214161523 \tabularnewline
0.23 & 0.802573938672443 & 0.00457507084393041 \tabularnewline
0.24 & 0.8034998637041 & 0.00486853037543008 \tabularnewline
0.25 & 0.804468658173151 & 0.00517231791475393 \tabularnewline
0.26 & 0.805482055834 & 0.00548076516806652 \tabularnewline
0.27 & 0.806540617032773 & 0.00579062787131191 \tabularnewline
0.28 & 0.807643610164404 & 0.00609590673059483 \tabularnewline
0.29 & 0.8087888252011 & 0.00639092736395002 \tabularnewline
0.3 & 0.809972310370504 & 0.0066634475990625 \tabularnewline
0.31 & 0.81118808138115 & 0.00689846001676391 \tabularnewline
0.32 & 0.812427896783663 & 0.0070793598207494 \tabularnewline
0.33 & 0.813681207385783 & 0.00719044566684258 \tabularnewline
0.34 & 0.814935366710065 & 0.00721402534194691 \tabularnewline
0.35 & 0.816176139271794 & 0.00714249780771988 \tabularnewline
0.36 & 0.817388478666765 & 0.00697012226336994 \tabularnewline
0.37 & 0.818557486404555 & 0.00670033260291142 \tabularnewline
0.38 & 0.819669421291244 & 0.00634526796297489 \tabularnewline
0.39 & 0.82071261754626 & 0.00591902055395293 \tabularnewline
0.4 & 0.82167818870708 & 0.00544342441130138 \tabularnewline
0.41 & 0.822560436822853 & 0.00493967748093599 \tabularnewline
0.42 & 0.823356940527691 & 0.00442886113596065 \tabularnewline
0.43 & 0.824068348183822 & 0.00392982577568854 \tabularnewline
0.44 & 0.824697942602212 & 0.00345736062836421 \tabularnewline
0.45 & 0.82525106572612 & 0.00302282791933871 \tabularnewline
0.46 & 0.825734494220936 & 0.00263209213561086 \tabularnewline
0.47 & 0.826155843692832 & 0.00228917792881623 \tabularnewline
0.48 & 0.82652305641649 & 0.00199352702902731 \tabularnewline
0.49 & 0.826844001705409 & 0.00174370604721458 \tabularnewline
0.5 & 0.82712619498114 & 0.00153614820270521 \tabularnewline
0.51 & 0.827376624636273 & 0.00136798323041063 \tabularnewline
0.52 & 0.827601666063675 & 0.00123581932272885 \tabularnewline
0.53 & 0.827807058977876 & 0.00113441330340563 \tabularnewline
0.54 & 0.82799792551085 & 0.00106248476388117 \tabularnewline
0.55 & 0.828178810360782 & 0.00101511647993454 \tabularnewline
0.56 & 0.828353728692292 & 0.000990503354154224 \tabularnewline
0.57 & 0.828526211400724 & 0.000984851650667338 \tabularnewline
0.58 & 0.82869934036861 & 0.000995860931299337 \tabularnewline
0.59 & 0.828875768634536 & 0.00102085386218802 \tabularnewline
0.6 & 0.829057722433827 & 0.00105733846786719 \tabularnewline
0.61 & 0.829246984343134 & 0.00110252742500917 \tabularnewline
0.62 & 0.82944485955631 & 0.00115339912713784 \tabularnewline
0.63 & 0.829652130609122 & 0.00120697813007034 \tabularnewline
0.64 & 0.829869009291106 & 0.00125963964457297 \tabularnewline
0.65 & 0.830095097397585 & 0.00130789648178625 \tabularnewline
0.66 & 0.830329369608656 & 0.00134771327761919 \tabularnewline
0.67 & 0.830570191406382 & 0.00137588533652104 \tabularnewline
0.68 & 0.830815382085721 & 0.00138965345329122 \tabularnewline
0.69 & 0.83106232756393 & 0.00138583088364580 \tabularnewline
0.7 & 0.831308140419081 & 0.00136481768056375 \tabularnewline
0.71 & 0.831549856551774 & 0.00132529962763482 \tabularnewline
0.72 & 0.831784650646819 & 0.00126967383484990 \tabularnewline
0.73 & 0.83201004787902 & 0.00120013567227342 \tabularnewline
0.74 & 0.83222410836186 & 0.00112000280095347 \tabularnewline
0.75 & 0.832425564187332 & 0.00103465032771705 \tabularnewline
0.76 & 0.83261389598841 & 0.000947947551713821 \tabularnewline
0.77 & 0.832789345163892 & 0.0008641286196231 \tabularnewline
0.78 & 0.832952866957266 & 0.000787434300585478 \tabularnewline
0.79 & 0.833106036209999 & 0.000720251390766254 \tabularnewline
0.8 & 0.833250920390201 & 0.00066500416432454 \tabularnewline
0.81 & 0.833389933536551 & 0.00062333101385361 \tabularnewline
0.82 & 0.833525681902627 & 0.000594908471503893 \tabularnewline
0.83 & 0.833660810377343 & 0.000579277102740175 \tabularnewline
0.84 & 0.833797861073562 & 0.000574953292314935 \tabularnewline
0.85 & 0.833939162857087 & 0.000579602258319008 \tabularnewline
0.86 & 0.834086781292157 & 0.000590760779793036 \tabularnewline
0.87 & 0.834242569193932 & 0.000605060752186208 \tabularnewline
0.88 & 0.834408367701415 & 0.00062062065173316 \tabularnewline
0.89 & 0.834586422305929 & 0.000637263196900146 \tabularnewline
0.9 & 0.834780109574509 & 0.000656682831467067 \tabularnewline
0.91 & 0.834995123784427 & 0.000683083147518965 \tabularnewline
0.92 & 0.835241318123477 & 0.000723852882449014 \tabularnewline
0.93 & 0.835535317829386 & 0.000792439449719554 \tabularnewline
0.94 & 0.835903533801053 & 0.000908431165715071 \tabularnewline
0.95 & 0.836383698109083 & 0.00109303073007739 \tabularnewline
0.96 & 0.837019669755206 & 0.00135553013217727 \tabularnewline
0.97 & 0.83783945066477 & 0.00168638406056776 \tabularnewline
0.98 & 0.838806701098967 & 0.00206100196872079 \tabularnewline
0.99 & 0.839759642984363 & 0.00242866643468568 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19051&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]0.784834136069613[/C][C]0.00154963069277415[/C][/ROW]
[ROW][C]0.02[/C][C]0.785576096755996[/C][C]0.00178267036984324[/C][/ROW]
[ROW][C]0.03[/C][C]0.786509111600121[/C][C]0.00222117922481069[/C][/ROW]
[ROW][C]0.04[/C][C]0.787541744270965[/C][C]0.00261695868042064[/C][/ROW]
[ROW][C]0.05[/C][C]0.788604133475913[/C][C]0.00280192442921692[/C][/ROW]
[ROW][C]0.06[/C][C]0.789638307105825[/C][C]0.00276073928884674[/C][/ROW]
[ROW][C]0.07[/C][C]0.790601350408603[/C][C]0.00258084070047795[/C][/ROW]
[ROW][C]0.08[/C][C]0.79147273289087[/C][C]0.00237849218940587[/C][/ROW]
[ROW][C]0.09[/C][C]0.792255291499768[/C][C]0.00224718228362039[/C][/ROW]
[ROW][C]0.1[/C][C]0.792968579789696[/C][C]0.00222583678739412[/C][/ROW]
[ROW][C]0.11[/C][C]0.793639051430563[/C][C]0.00230404682590230[/C][/ROW]
[ROW][C]0.12[/C][C]0.794291697242148[/C][C]0.00244610154722775[/C][/ROW]
[ROW][C]0.13[/C][C]0.794945336672352[/C][C]0.00261811617719329[/C][/ROW]
[ROW][C]0.14[/C][C]0.79561149185028[/C][C]0.00279408575739466[/C][/ROW]
[ROW][C]0.15[/C][C]0.796295635074323[/C][C]0.00296169219553150[/C][/ROW]
[ROW][C]0.16[/C][C]0.79699944760826[/C][C]0.00311942608949175[/C][/ROW]
[ROW][C]0.17[/C][C]0.797723072604335[/C][C]0.00327410496375745[/C][/ROW]
[ROW][C]0.18[/C][C]0.798466800556626[/C][C]0.00343508791537460[/C][/ROW]
[ROW][C]0.19[/C][C]0.799232001423236[/C][C]0.00361263549986366[/C][/ROW]
[ROW][C]0.2[/C][C]0.800021364062253[/C][C]0.00381365529617412[/C][/ROW]
[ROW][C]0.21[/C][C]0.800838634430223[/C][C]0.00404230310725763[/C][/ROW]
[ROW][C]0.22[/C][C]0.801688086530841[/C][C]0.00429826214161523[/C][/ROW]
[ROW][C]0.23[/C][C]0.802573938672443[/C][C]0.00457507084393041[/C][/ROW]
[ROW][C]0.24[/C][C]0.8034998637041[/C][C]0.00486853037543008[/C][/ROW]
[ROW][C]0.25[/C][C]0.804468658173151[/C][C]0.00517231791475393[/C][/ROW]
[ROW][C]0.26[/C][C]0.805482055834[/C][C]0.00548076516806652[/C][/ROW]
[ROW][C]0.27[/C][C]0.806540617032773[/C][C]0.00579062787131191[/C][/ROW]
[ROW][C]0.28[/C][C]0.807643610164404[/C][C]0.00609590673059483[/C][/ROW]
[ROW][C]0.29[/C][C]0.8087888252011[/C][C]0.00639092736395002[/C][/ROW]
[ROW][C]0.3[/C][C]0.809972310370504[/C][C]0.0066634475990625[/C][/ROW]
[ROW][C]0.31[/C][C]0.81118808138115[/C][C]0.00689846001676391[/C][/ROW]
[ROW][C]0.32[/C][C]0.812427896783663[/C][C]0.0070793598207494[/C][/ROW]
[ROW][C]0.33[/C][C]0.813681207385783[/C][C]0.00719044566684258[/C][/ROW]
[ROW][C]0.34[/C][C]0.814935366710065[/C][C]0.00721402534194691[/C][/ROW]
[ROW][C]0.35[/C][C]0.816176139271794[/C][C]0.00714249780771988[/C][/ROW]
[ROW][C]0.36[/C][C]0.817388478666765[/C][C]0.00697012226336994[/C][/ROW]
[ROW][C]0.37[/C][C]0.818557486404555[/C][C]0.00670033260291142[/C][/ROW]
[ROW][C]0.38[/C][C]0.819669421291244[/C][C]0.00634526796297489[/C][/ROW]
[ROW][C]0.39[/C][C]0.82071261754626[/C][C]0.00591902055395293[/C][/ROW]
[ROW][C]0.4[/C][C]0.82167818870708[/C][C]0.00544342441130138[/C][/ROW]
[ROW][C]0.41[/C][C]0.822560436822853[/C][C]0.00493967748093599[/C][/ROW]
[ROW][C]0.42[/C][C]0.823356940527691[/C][C]0.00442886113596065[/C][/ROW]
[ROW][C]0.43[/C][C]0.824068348183822[/C][C]0.00392982577568854[/C][/ROW]
[ROW][C]0.44[/C][C]0.824697942602212[/C][C]0.00345736062836421[/C][/ROW]
[ROW][C]0.45[/C][C]0.82525106572612[/C][C]0.00302282791933871[/C][/ROW]
[ROW][C]0.46[/C][C]0.825734494220936[/C][C]0.00263209213561086[/C][/ROW]
[ROW][C]0.47[/C][C]0.826155843692832[/C][C]0.00228917792881623[/C][/ROW]
[ROW][C]0.48[/C][C]0.82652305641649[/C][C]0.00199352702902731[/C][/ROW]
[ROW][C]0.49[/C][C]0.826844001705409[/C][C]0.00174370604721458[/C][/ROW]
[ROW][C]0.5[/C][C]0.82712619498114[/C][C]0.00153614820270521[/C][/ROW]
[ROW][C]0.51[/C][C]0.827376624636273[/C][C]0.00136798323041063[/C][/ROW]
[ROW][C]0.52[/C][C]0.827601666063675[/C][C]0.00123581932272885[/C][/ROW]
[ROW][C]0.53[/C][C]0.827807058977876[/C][C]0.00113441330340563[/C][/ROW]
[ROW][C]0.54[/C][C]0.82799792551085[/C][C]0.00106248476388117[/C][/ROW]
[ROW][C]0.55[/C][C]0.828178810360782[/C][C]0.00101511647993454[/C][/ROW]
[ROW][C]0.56[/C][C]0.828353728692292[/C][C]0.000990503354154224[/C][/ROW]
[ROW][C]0.57[/C][C]0.828526211400724[/C][C]0.000984851650667338[/C][/ROW]
[ROW][C]0.58[/C][C]0.82869934036861[/C][C]0.000995860931299337[/C][/ROW]
[ROW][C]0.59[/C][C]0.828875768634536[/C][C]0.00102085386218802[/C][/ROW]
[ROW][C]0.6[/C][C]0.829057722433827[/C][C]0.00105733846786719[/C][/ROW]
[ROW][C]0.61[/C][C]0.829246984343134[/C][C]0.00110252742500917[/C][/ROW]
[ROW][C]0.62[/C][C]0.82944485955631[/C][C]0.00115339912713784[/C][/ROW]
[ROW][C]0.63[/C][C]0.829652130609122[/C][C]0.00120697813007034[/C][/ROW]
[ROW][C]0.64[/C][C]0.829869009291106[/C][C]0.00125963964457297[/C][/ROW]
[ROW][C]0.65[/C][C]0.830095097397585[/C][C]0.00130789648178625[/C][/ROW]
[ROW][C]0.66[/C][C]0.830329369608656[/C][C]0.00134771327761919[/C][/ROW]
[ROW][C]0.67[/C][C]0.830570191406382[/C][C]0.00137588533652104[/C][/ROW]
[ROW][C]0.68[/C][C]0.830815382085721[/C][C]0.00138965345329122[/C][/ROW]
[ROW][C]0.69[/C][C]0.83106232756393[/C][C]0.00138583088364580[/C][/ROW]
[ROW][C]0.7[/C][C]0.831308140419081[/C][C]0.00136481768056375[/C][/ROW]
[ROW][C]0.71[/C][C]0.831549856551774[/C][C]0.00132529962763482[/C][/ROW]
[ROW][C]0.72[/C][C]0.831784650646819[/C][C]0.00126967383484990[/C][/ROW]
[ROW][C]0.73[/C][C]0.83201004787902[/C][C]0.00120013567227342[/C][/ROW]
[ROW][C]0.74[/C][C]0.83222410836186[/C][C]0.00112000280095347[/C][/ROW]
[ROW][C]0.75[/C][C]0.832425564187332[/C][C]0.00103465032771705[/C][/ROW]
[ROW][C]0.76[/C][C]0.83261389598841[/C][C]0.000947947551713821[/C][/ROW]
[ROW][C]0.77[/C][C]0.832789345163892[/C][C]0.0008641286196231[/C][/ROW]
[ROW][C]0.78[/C][C]0.832952866957266[/C][C]0.000787434300585478[/C][/ROW]
[ROW][C]0.79[/C][C]0.833106036209999[/C][C]0.000720251390766254[/C][/ROW]
[ROW][C]0.8[/C][C]0.833250920390201[/C][C]0.00066500416432454[/C][/ROW]
[ROW][C]0.81[/C][C]0.833389933536551[/C][C]0.00062333101385361[/C][/ROW]
[ROW][C]0.82[/C][C]0.833525681902627[/C][C]0.000594908471503893[/C][/ROW]
[ROW][C]0.83[/C][C]0.833660810377343[/C][C]0.000579277102740175[/C][/ROW]
[ROW][C]0.84[/C][C]0.833797861073562[/C][C]0.000574953292314935[/C][/ROW]
[ROW][C]0.85[/C][C]0.833939162857087[/C][C]0.000579602258319008[/C][/ROW]
[ROW][C]0.86[/C][C]0.834086781292157[/C][C]0.000590760779793036[/C][/ROW]
[ROW][C]0.87[/C][C]0.834242569193932[/C][C]0.000605060752186208[/C][/ROW]
[ROW][C]0.88[/C][C]0.834408367701415[/C][C]0.00062062065173316[/C][/ROW]
[ROW][C]0.89[/C][C]0.834586422305929[/C][C]0.000637263196900146[/C][/ROW]
[ROW][C]0.9[/C][C]0.834780109574509[/C][C]0.000656682831467067[/C][/ROW]
[ROW][C]0.91[/C][C]0.834995123784427[/C][C]0.000683083147518965[/C][/ROW]
[ROW][C]0.92[/C][C]0.835241318123477[/C][C]0.000723852882449014[/C][/ROW]
[ROW][C]0.93[/C][C]0.835535317829386[/C][C]0.000792439449719554[/C][/ROW]
[ROW][C]0.94[/C][C]0.835903533801053[/C][C]0.000908431165715071[/C][/ROW]
[ROW][C]0.95[/C][C]0.836383698109083[/C][C]0.00109303073007739[/C][/ROW]
[ROW][C]0.96[/C][C]0.837019669755206[/C][C]0.00135553013217727[/C][/ROW]
[ROW][C]0.97[/C][C]0.83783945066477[/C][C]0.00168638406056776[/C][/ROW]
[ROW][C]0.98[/C][C]0.838806701098967[/C][C]0.00206100196872079[/C][/ROW]
[ROW][C]0.99[/C][C]0.839759642984363[/C][C]0.00242866643468568[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19051&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19051&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
0.010.7848341360696130.00154963069277415
0.020.7855760967559960.00178267036984324
0.030.7865091116001210.00222117922481069
0.040.7875417442709650.00261695868042064
0.050.7886041334759130.00280192442921692
0.060.7896383071058250.00276073928884674
0.070.7906013504086030.00258084070047795
0.080.791472732890870.00237849218940587
0.090.7922552914997680.00224718228362039
0.10.7929685797896960.00222583678739412
0.110.7936390514305630.00230404682590230
0.120.7942916972421480.00244610154722775
0.130.7949453366723520.00261811617719329
0.140.795611491850280.00279408575739466
0.150.7962956350743230.00296169219553150
0.160.796999447608260.00311942608949175
0.170.7977230726043350.00327410496375745
0.180.7984668005566260.00343508791537460
0.190.7992320014232360.00361263549986366
0.20.8000213640622530.00381365529617412
0.210.8008386344302230.00404230310725763
0.220.8016880865308410.00429826214161523
0.230.8025739386724430.00457507084393041
0.240.80349986370410.00486853037543008
0.250.8044686581731510.00517231791475393
0.260.8054820558340.00548076516806652
0.270.8065406170327730.00579062787131191
0.280.8076436101644040.00609590673059483
0.290.80878882520110.00639092736395002
0.30.8099723103705040.0066634475990625
0.310.811188081381150.00689846001676391
0.320.8124278967836630.0070793598207494
0.330.8136812073857830.00719044566684258
0.340.8149353667100650.00721402534194691
0.350.8161761392717940.00714249780771988
0.360.8173884786667650.00697012226336994
0.370.8185574864045550.00670033260291142
0.380.8196694212912440.00634526796297489
0.390.820712617546260.00591902055395293
0.40.821678188707080.00544342441130138
0.410.8225604368228530.00493967748093599
0.420.8233569405276910.00442886113596065
0.430.8240683481838220.00392982577568854
0.440.8246979426022120.00345736062836421
0.450.825251065726120.00302282791933871
0.460.8257344942209360.00263209213561086
0.470.8261558436928320.00228917792881623
0.480.826523056416490.00199352702902731
0.490.8268440017054090.00174370604721458
0.50.827126194981140.00153614820270521
0.510.8273766246362730.00136798323041063
0.520.8276016660636750.00123581932272885
0.530.8278070589778760.00113441330340563
0.540.827997925510850.00106248476388117
0.550.8281788103607820.00101511647993454
0.560.8283537286922920.000990503354154224
0.570.8285262114007240.000984851650667338
0.580.828699340368610.000995860931299337
0.590.8288757686345360.00102085386218802
0.60.8290577224338270.00105733846786719
0.610.8292469843431340.00110252742500917
0.620.829444859556310.00115339912713784
0.630.8296521306091220.00120697813007034
0.640.8298690092911060.00125963964457297
0.650.8300950973975850.00130789648178625
0.660.8303293696086560.00134771327761919
0.670.8305701914063820.00137588533652104
0.680.8308153820857210.00138965345329122
0.690.831062327563930.00138583088364580
0.70.8313081404190810.00136481768056375
0.710.8315498565517740.00132529962763482
0.720.8317846506468190.00126967383484990
0.730.832010047879020.00120013567227342
0.740.832224108361860.00112000280095347
0.750.8324255641873320.00103465032771705
0.760.832613895988410.000947947551713821
0.770.8327893451638920.0008641286196231
0.780.8329528669572660.000787434300585478
0.790.8331060362099990.000720251390766254
0.80.8332509203902010.00066500416432454
0.810.8333899335365510.00062333101385361
0.820.8335256819026270.000594908471503893
0.830.8336608103773430.000579277102740175
0.840.8337978610735620.000574953292314935
0.850.8339391628570870.000579602258319008
0.860.8340867812921570.000590760779793036
0.870.8342425691939320.000605060752186208
0.880.8344083677014150.00062062065173316
0.890.8345864223059290.000637263196900146
0.90.8347801095745090.000656682831467067
0.910.8349951237844270.000683083147518965
0.920.8352413181234770.000723852882449014
0.930.8355353178293860.000792439449719554
0.940.8359035338010530.000908431165715071
0.950.8363836981090830.00109303073007739
0.960.8370196697552060.00135553013217727
0.970.837839450664770.00168638406056776
0.980.8388067010989670.00206100196872079
0.990.8397596429843630.00242866643468568


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')