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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 computationMon, 03 Nov 2008 02:08:18 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/03/t1225703395i6994gqeqncejqd.htm/, Retrieved Sun, 19 May 2024 05:59:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=20765, Retrieved Sun, 19 May 2024 05:59:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact214

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] [2008-10-27 18:09:47] [cf9c64468d04c2c4dd548cc66b4e3677]
- R  D      [Harrell-Davis Quantiles] [distributions jan...] [2008-11-03 09:08:18] [3817f5e632a8bfeb1be7b5e8c86bd450] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101.5
101.3
99.3
100.6
101.2
99.8
100.6
101.1
101.2
101.5
102.2
102.5
101.4
103.8
105.2
105.3
104.4
104.9
106.9
107.6
106.7
106.1
106.3
105.8
104.4
103.8
102.4
103.3
103.5
104.5
103.5
103.9
103.1
102.2
104.7
105.9
106.6
106.6
107.5
107.2
109
108.4
107
108
110.8
110.9
109.7
111
111.5
111
111.8
111.4
110.8
111.9
112.9
111.8
111
112.3
112.4
111.1

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20765&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20765&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20765&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-6.634084620239450.521451695236848
0.02-6.394662973889130.558247654938487
0.03-6.122889044288740.563193901082355
0.04-5.862525284464640.527577171800758
0.05-5.634542811994570.471706877164816
0.06-5.443487067156240.416093973499367
0.07-5.285713966093750.368931084442169
0.08-5.154846929372810.330757461146096
0.09-5.044327200547980.302086946409748
0.1-4.948186749197270.285673528518690
0.11-4.861099047697380.28464111582624
0.12-4.778326939293160.299881525214312
0.13-4.695778239599660.329328829971351
0.14-4.610141783456960.3691046059947
0.15-4.519007903779550.414940696983218
0.16-4.420905544538350.462916900413396
0.17-4.315240787770070.509779229566281
0.18-4.202159295905160.55306931593502
0.19-4.082369614618670.591103319083574
0.2-3.95696183475870.622884037095343
0.21-3.827245547383650.647955244808794
0.22-3.694618663858710.666174873704056
0.23-3.560468164644440.677661817282276
0.24-3.426097076334580.682704380101183
0.25-3.292669571861650.681815922160253
0.26-3.161167481013290.675790261075148
0.27-3.032355148882720.665720967806376
0.28-2.906753509640420.6529675453965
0.29-2.784626746638760.639066505684307
0.3-2.665985123122470.625572409075043
0.31-2.550605650161440.61387058986975
0.32-2.438069162167320.605062779286163
0.33-2.327809354392420.599856159658796
0.34-2.21916745762630.598556561613901
0.35-2.111445997954390.601131873610201
0.36-2.003956404141350.607290880313269
0.37-1.896057493123010.616601647415985
0.38-1.787184292678040.628549626488132
0.39-1.676868539224010.642563473921165
0.4-1.564753092836620.658028394120682
0.41-1.450602377253270.674255859705589
0.42-1.334310030789800.690494475212498
0.43-1.215903681889880.705926737070282
0.44-1.095545607402260.719699512717778
0.45-0.9735273553684310.730988743352258
0.46-0.850256395987490.739055703074475
0.47-0.7262334844285140.743336397791547
0.48-0.6020204977840750.743497202984118
0.49-0.4781997786834860.739489037779015
0.5-0.3553272038904380.73157955101968
0.51-0.2338820765302600.720363082085679
0.52-0.1142173869096370.706743800613752
0.530.003486027052630990.691903592401945
0.540.1192582989363370.67725153879129
0.550.2333698878934930.664364483895808
0.560.3463497975072950.654911846970981
0.570.4589916842332610.650574169522082
0.580.5723473371025330.652949931031191
0.590.6877071204250860.663453836977814
0.60.8065667099274140.683217099999592
0.610.9305789128844040.712987426885785
0.621.06148877559380.753041348272803
0.631.201049910128220.80309449448131
0.641.350920462067200.862215743258802
0.651.512538818880980.92873801894561
0.661.686982289187031.00019335153384
0.671.874816507390731.07328177036729
0.682.075948724023681.14393145486369
0.692.289503421406071.20746672392889
0.72.513742440073231.25890792190552
0.712.746052466998411.29339137711329
0.722.983019032451711.30669571233637
0.733.220597507387651.29578021153488
0.743.454378490161631.25928017499398
0.753.679929159567941.19785943432223
0.763.893176450388261.11432705928613
0.774.090785613701881.01349083500816
0.784.270481959789450.901719943123045
0.794.431266410791330.786329816449382
0.84.573487351534730.674778690384275
0.814.698750804391550.573936051678206
0.824.809675329158520.489344116805371
0.834.909523598979840.424563801357455
0.845.001765548634280.380450982687634
0.855.089644829362050.354705728511997
0.865.175827642931690.342324295803719
0.875.262206988343580.337169726914546
0.885.349911350236780.333782679671367
0.895.439521392285450.328664027831602
0.95.531434669523770.320894700949568
0.915.62625683831390.312062646796759
0.925.725082387823760.305226228387513
0.935.829611500292470.302650882502246
0.945.942225097301240.303410392003839
0.956.066208446884850.303924203249618
0.966.205811309164810.30381864304751
0.976.364417927553970.314451119823143
0.986.537909405671210.355759124134398
0.996.703529825384170.42730036583573

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -6.63408462023945 & 0.521451695236848 \tabularnewline
0.02 & -6.39466297388913 & 0.558247654938487 \tabularnewline
0.03 & -6.12288904428874 & 0.563193901082355 \tabularnewline
0.04 & -5.86252528446464 & 0.527577171800758 \tabularnewline
0.05 & -5.63454281199457 & 0.471706877164816 \tabularnewline
0.06 & -5.44348706715624 & 0.416093973499367 \tabularnewline
0.07 & -5.28571396609375 & 0.368931084442169 \tabularnewline
0.08 & -5.15484692937281 & 0.330757461146096 \tabularnewline
0.09 & -5.04432720054798 & 0.302086946409748 \tabularnewline
0.1 & -4.94818674919727 & 0.285673528518690 \tabularnewline
0.11 & -4.86109904769738 & 0.28464111582624 \tabularnewline
0.12 & -4.77832693929316 & 0.299881525214312 \tabularnewline
0.13 & -4.69577823959966 & 0.329328829971351 \tabularnewline
0.14 & -4.61014178345696 & 0.3691046059947 \tabularnewline
0.15 & -4.51900790377955 & 0.414940696983218 \tabularnewline
0.16 & -4.42090554453835 & 0.462916900413396 \tabularnewline
0.17 & -4.31524078777007 & 0.509779229566281 \tabularnewline
0.18 & -4.20215929590516 & 0.55306931593502 \tabularnewline
0.19 & -4.08236961461867 & 0.591103319083574 \tabularnewline
0.2 & -3.9569618347587 & 0.622884037095343 \tabularnewline
0.21 & -3.82724554738365 & 0.647955244808794 \tabularnewline
0.22 & -3.69461866385871 & 0.666174873704056 \tabularnewline
0.23 & -3.56046816464444 & 0.677661817282276 \tabularnewline
0.24 & -3.42609707633458 & 0.682704380101183 \tabularnewline
0.25 & -3.29266957186165 & 0.681815922160253 \tabularnewline
0.26 & -3.16116748101329 & 0.675790261075148 \tabularnewline
0.27 & -3.03235514888272 & 0.665720967806376 \tabularnewline
0.28 & -2.90675350964042 & 0.6529675453965 \tabularnewline
0.29 & -2.78462674663876 & 0.639066505684307 \tabularnewline
0.3 & -2.66598512312247 & 0.625572409075043 \tabularnewline
0.31 & -2.55060565016144 & 0.61387058986975 \tabularnewline
0.32 & -2.43806916216732 & 0.605062779286163 \tabularnewline
0.33 & -2.32780935439242 & 0.599856159658796 \tabularnewline
0.34 & -2.2191674576263 & 0.598556561613901 \tabularnewline
0.35 & -2.11144599795439 & 0.601131873610201 \tabularnewline
0.36 & -2.00395640414135 & 0.607290880313269 \tabularnewline
0.37 & -1.89605749312301 & 0.616601647415985 \tabularnewline
0.38 & -1.78718429267804 & 0.628549626488132 \tabularnewline
0.39 & -1.67686853922401 & 0.642563473921165 \tabularnewline
0.4 & -1.56475309283662 & 0.658028394120682 \tabularnewline
0.41 & -1.45060237725327 & 0.674255859705589 \tabularnewline
0.42 & -1.33431003078980 & 0.690494475212498 \tabularnewline
0.43 & -1.21590368188988 & 0.705926737070282 \tabularnewline
0.44 & -1.09554560740226 & 0.719699512717778 \tabularnewline
0.45 & -0.973527355368431 & 0.730988743352258 \tabularnewline
0.46 & -0.85025639598749 & 0.739055703074475 \tabularnewline
0.47 & -0.726233484428514 & 0.743336397791547 \tabularnewline
0.48 & -0.602020497784075 & 0.743497202984118 \tabularnewline
0.49 & -0.478199778683486 & 0.739489037779015 \tabularnewline
0.5 & -0.355327203890438 & 0.73157955101968 \tabularnewline
0.51 & -0.233882076530260 & 0.720363082085679 \tabularnewline
0.52 & -0.114217386909637 & 0.706743800613752 \tabularnewline
0.53 & 0.00348602705263099 & 0.691903592401945 \tabularnewline
0.54 & 0.119258298936337 & 0.67725153879129 \tabularnewline
0.55 & 0.233369887893493 & 0.664364483895808 \tabularnewline
0.56 & 0.346349797507295 & 0.654911846970981 \tabularnewline
0.57 & 0.458991684233261 & 0.650574169522082 \tabularnewline
0.58 & 0.572347337102533 & 0.652949931031191 \tabularnewline
0.59 & 0.687707120425086 & 0.663453836977814 \tabularnewline
0.6 & 0.806566709927414 & 0.683217099999592 \tabularnewline
0.61 & 0.930578912884404 & 0.712987426885785 \tabularnewline
0.62 & 1.0614887755938 & 0.753041348272803 \tabularnewline
0.63 & 1.20104991012822 & 0.80309449448131 \tabularnewline
0.64 & 1.35092046206720 & 0.862215743258802 \tabularnewline
0.65 & 1.51253881888098 & 0.92873801894561 \tabularnewline
0.66 & 1.68698228918703 & 1.00019335153384 \tabularnewline
0.67 & 1.87481650739073 & 1.07328177036729 \tabularnewline
0.68 & 2.07594872402368 & 1.14393145486369 \tabularnewline
0.69 & 2.28950342140607 & 1.20746672392889 \tabularnewline
0.7 & 2.51374244007323 & 1.25890792190552 \tabularnewline
0.71 & 2.74605246699841 & 1.29339137711329 \tabularnewline
0.72 & 2.98301903245171 & 1.30669571233637 \tabularnewline
0.73 & 3.22059750738765 & 1.29578021153488 \tabularnewline
0.74 & 3.45437849016163 & 1.25928017499398 \tabularnewline
0.75 & 3.67992915956794 & 1.19785943432223 \tabularnewline
0.76 & 3.89317645038826 & 1.11432705928613 \tabularnewline
0.77 & 4.09078561370188 & 1.01349083500816 \tabularnewline
0.78 & 4.27048195978945 & 0.901719943123045 \tabularnewline
0.79 & 4.43126641079133 & 0.786329816449382 \tabularnewline
0.8 & 4.57348735153473 & 0.674778690384275 \tabularnewline
0.81 & 4.69875080439155 & 0.573936051678206 \tabularnewline
0.82 & 4.80967532915852 & 0.489344116805371 \tabularnewline
0.83 & 4.90952359897984 & 0.424563801357455 \tabularnewline
0.84 & 5.00176554863428 & 0.380450982687634 \tabularnewline
0.85 & 5.08964482936205 & 0.354705728511997 \tabularnewline
0.86 & 5.17582764293169 & 0.342324295803719 \tabularnewline
0.87 & 5.26220698834358 & 0.337169726914546 \tabularnewline
0.88 & 5.34991135023678 & 0.333782679671367 \tabularnewline
0.89 & 5.43952139228545 & 0.328664027831602 \tabularnewline
0.9 & 5.53143466952377 & 0.320894700949568 \tabularnewline
0.91 & 5.6262568383139 & 0.312062646796759 \tabularnewline
0.92 & 5.72508238782376 & 0.305226228387513 \tabularnewline
0.93 & 5.82961150029247 & 0.302650882502246 \tabularnewline
0.94 & 5.94222509730124 & 0.303410392003839 \tabularnewline
0.95 & 6.06620844688485 & 0.303924203249618 \tabularnewline
0.96 & 6.20581130916481 & 0.30381864304751 \tabularnewline
0.97 & 6.36441792755397 & 0.314451119823143 \tabularnewline
0.98 & 6.53790940567121 & 0.355759124134398 \tabularnewline
0.99 & 6.70352982538417 & 0.42730036583573 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=20765&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]-6.63408462023945[/C][C]0.521451695236848[/C][/ROW]
[ROW][C]0.02[/C][C]-6.39466297388913[/C][C]0.558247654938487[/C][/ROW]
[ROW][C]0.03[/C][C]-6.12288904428874[/C][C]0.563193901082355[/C][/ROW]
[ROW][C]0.04[/C][C]-5.86252528446464[/C][C]0.527577171800758[/C][/ROW]
[ROW][C]0.05[/C][C]-5.63454281199457[/C][C]0.471706877164816[/C][/ROW]
[ROW][C]0.06[/C][C]-5.44348706715624[/C][C]0.416093973499367[/C][/ROW]
[ROW][C]0.07[/C][C]-5.28571396609375[/C][C]0.368931084442169[/C][/ROW]
[ROW][C]0.08[/C][C]-5.15484692937281[/C][C]0.330757461146096[/C][/ROW]
[ROW][C]0.09[/C][C]-5.04432720054798[/C][C]0.302086946409748[/C][/ROW]
[ROW][C]0.1[/C][C]-4.94818674919727[/C][C]0.285673528518690[/C][/ROW]
[ROW][C]0.11[/C][C]-4.86109904769738[/C][C]0.28464111582624[/C][/ROW]
[ROW][C]0.12[/C][C]-4.77832693929316[/C][C]0.299881525214312[/C][/ROW]
[ROW][C]0.13[/C][C]-4.69577823959966[/C][C]0.329328829971351[/C][/ROW]
[ROW][C]0.14[/C][C]-4.61014178345696[/C][C]0.3691046059947[/C][/ROW]
[ROW][C]0.15[/C][C]-4.51900790377955[/C][C]0.414940696983218[/C][/ROW]
[ROW][C]0.16[/C][C]-4.42090554453835[/C][C]0.462916900413396[/C][/ROW]
[ROW][C]0.17[/C][C]-4.31524078777007[/C][C]0.509779229566281[/C][/ROW]
[ROW][C]0.18[/C][C]-4.20215929590516[/C][C]0.55306931593502[/C][/ROW]
[ROW][C]0.19[/C][C]-4.08236961461867[/C][C]0.591103319083574[/C][/ROW]
[ROW][C]0.2[/C][C]-3.9569618347587[/C][C]0.622884037095343[/C][/ROW]
[ROW][C]0.21[/C][C]-3.82724554738365[/C][C]0.647955244808794[/C][/ROW]
[ROW][C]0.22[/C][C]-3.69461866385871[/C][C]0.666174873704056[/C][/ROW]
[ROW][C]0.23[/C][C]-3.56046816464444[/C][C]0.677661817282276[/C][/ROW]
[ROW][C]0.24[/C][C]-3.42609707633458[/C][C]0.682704380101183[/C][/ROW]
[ROW][C]0.25[/C][C]-3.29266957186165[/C][C]0.681815922160253[/C][/ROW]
[ROW][C]0.26[/C][C]-3.16116748101329[/C][C]0.675790261075148[/C][/ROW]
[ROW][C]0.27[/C][C]-3.03235514888272[/C][C]0.665720967806376[/C][/ROW]
[ROW][C]0.28[/C][C]-2.90675350964042[/C][C]0.6529675453965[/C][/ROW]
[ROW][C]0.29[/C][C]-2.78462674663876[/C][C]0.639066505684307[/C][/ROW]
[ROW][C]0.3[/C][C]-2.66598512312247[/C][C]0.625572409075043[/C][/ROW]
[ROW][C]0.31[/C][C]-2.55060565016144[/C][C]0.61387058986975[/C][/ROW]
[ROW][C]0.32[/C][C]-2.43806916216732[/C][C]0.605062779286163[/C][/ROW]
[ROW][C]0.33[/C][C]-2.32780935439242[/C][C]0.599856159658796[/C][/ROW]
[ROW][C]0.34[/C][C]-2.2191674576263[/C][C]0.598556561613901[/C][/ROW]
[ROW][C]0.35[/C][C]-2.11144599795439[/C][C]0.601131873610201[/C][/ROW]
[ROW][C]0.36[/C][C]-2.00395640414135[/C][C]0.607290880313269[/C][/ROW]
[ROW][C]0.37[/C][C]-1.89605749312301[/C][C]0.616601647415985[/C][/ROW]
[ROW][C]0.38[/C][C]-1.78718429267804[/C][C]0.628549626488132[/C][/ROW]
[ROW][C]0.39[/C][C]-1.67686853922401[/C][C]0.642563473921165[/C][/ROW]
[ROW][C]0.4[/C][C]-1.56475309283662[/C][C]0.658028394120682[/C][/ROW]
[ROW][C]0.41[/C][C]-1.45060237725327[/C][C]0.674255859705589[/C][/ROW]
[ROW][C]0.42[/C][C]-1.33431003078980[/C][C]0.690494475212498[/C][/ROW]
[ROW][C]0.43[/C][C]-1.21590368188988[/C][C]0.705926737070282[/C][/ROW]
[ROW][C]0.44[/C][C]-1.09554560740226[/C][C]0.719699512717778[/C][/ROW]
[ROW][C]0.45[/C][C]-0.973527355368431[/C][C]0.730988743352258[/C][/ROW]
[ROW][C]0.46[/C][C]-0.85025639598749[/C][C]0.739055703074475[/C][/ROW]
[ROW][C]0.47[/C][C]-0.726233484428514[/C][C]0.743336397791547[/C][/ROW]
[ROW][C]0.48[/C][C]-0.602020497784075[/C][C]0.743497202984118[/C][/ROW]
[ROW][C]0.49[/C][C]-0.478199778683486[/C][C]0.739489037779015[/C][/ROW]
[ROW][C]0.5[/C][C]-0.355327203890438[/C][C]0.73157955101968[/C][/ROW]
[ROW][C]0.51[/C][C]-0.233882076530260[/C][C]0.720363082085679[/C][/ROW]
[ROW][C]0.52[/C][C]-0.114217386909637[/C][C]0.706743800613752[/C][/ROW]
[ROW][C]0.53[/C][C]0.00348602705263099[/C][C]0.691903592401945[/C][/ROW]
[ROW][C]0.54[/C][C]0.119258298936337[/C][C]0.67725153879129[/C][/ROW]
[ROW][C]0.55[/C][C]0.233369887893493[/C][C]0.664364483895808[/C][/ROW]
[ROW][C]0.56[/C][C]0.346349797507295[/C][C]0.654911846970981[/C][/ROW]
[ROW][C]0.57[/C][C]0.458991684233261[/C][C]0.650574169522082[/C][/ROW]
[ROW][C]0.58[/C][C]0.572347337102533[/C][C]0.652949931031191[/C][/ROW]
[ROW][C]0.59[/C][C]0.687707120425086[/C][C]0.663453836977814[/C][/ROW]
[ROW][C]0.6[/C][C]0.806566709927414[/C][C]0.683217099999592[/C][/ROW]
[ROW][C]0.61[/C][C]0.930578912884404[/C][C]0.712987426885785[/C][/ROW]
[ROW][C]0.62[/C][C]1.0614887755938[/C][C]0.753041348272803[/C][/ROW]
[ROW][C]0.63[/C][C]1.20104991012822[/C][C]0.80309449448131[/C][/ROW]
[ROW][C]0.64[/C][C]1.35092046206720[/C][C]0.862215743258802[/C][/ROW]
[ROW][C]0.65[/C][C]1.51253881888098[/C][C]0.92873801894561[/C][/ROW]
[ROW][C]0.66[/C][C]1.68698228918703[/C][C]1.00019335153384[/C][/ROW]
[ROW][C]0.67[/C][C]1.87481650739073[/C][C]1.07328177036729[/C][/ROW]
[ROW][C]0.68[/C][C]2.07594872402368[/C][C]1.14393145486369[/C][/ROW]
[ROW][C]0.69[/C][C]2.28950342140607[/C][C]1.20746672392889[/C][/ROW]
[ROW][C]0.7[/C][C]2.51374244007323[/C][C]1.25890792190552[/C][/ROW]
[ROW][C]0.71[/C][C]2.74605246699841[/C][C]1.29339137711329[/C][/ROW]
[ROW][C]0.72[/C][C]2.98301903245171[/C][C]1.30669571233637[/C][/ROW]
[ROW][C]0.73[/C][C]3.22059750738765[/C][C]1.29578021153488[/C][/ROW]
[ROW][C]0.74[/C][C]3.45437849016163[/C][C]1.25928017499398[/C][/ROW]
[ROW][C]0.75[/C][C]3.67992915956794[/C][C]1.19785943432223[/C][/ROW]
[ROW][C]0.76[/C][C]3.89317645038826[/C][C]1.11432705928613[/C][/ROW]
[ROW][C]0.77[/C][C]4.09078561370188[/C][C]1.01349083500816[/C][/ROW]
[ROW][C]0.78[/C][C]4.27048195978945[/C][C]0.901719943123045[/C][/ROW]
[ROW][C]0.79[/C][C]4.43126641079133[/C][C]0.786329816449382[/C][/ROW]
[ROW][C]0.8[/C][C]4.57348735153473[/C][C]0.674778690384275[/C][/ROW]
[ROW][C]0.81[/C][C]4.69875080439155[/C][C]0.573936051678206[/C][/ROW]
[ROW][C]0.82[/C][C]4.80967532915852[/C][C]0.489344116805371[/C][/ROW]
[ROW][C]0.83[/C][C]4.90952359897984[/C][C]0.424563801357455[/C][/ROW]
[ROW][C]0.84[/C][C]5.00176554863428[/C][C]0.380450982687634[/C][/ROW]
[ROW][C]0.85[/C][C]5.08964482936205[/C][C]0.354705728511997[/C][/ROW]
[ROW][C]0.86[/C][C]5.17582764293169[/C][C]0.342324295803719[/C][/ROW]
[ROW][C]0.87[/C][C]5.26220698834358[/C][C]0.337169726914546[/C][/ROW]
[ROW][C]0.88[/C][C]5.34991135023678[/C][C]0.333782679671367[/C][/ROW]
[ROW][C]0.89[/C][C]5.43952139228545[/C][C]0.328664027831602[/C][/ROW]
[ROW][C]0.9[/C][C]5.53143466952377[/C][C]0.320894700949568[/C][/ROW]
[ROW][C]0.91[/C][C]5.6262568383139[/C][C]0.312062646796759[/C][/ROW]
[ROW][C]0.92[/C][C]5.72508238782376[/C][C]0.305226228387513[/C][/ROW]
[ROW][C]0.93[/C][C]5.82961150029247[/C][C]0.302650882502246[/C][/ROW]
[ROW][C]0.94[/C][C]5.94222509730124[/C][C]0.303410392003839[/C][/ROW]
[ROW][C]0.95[/C][C]6.06620844688485[/C][C]0.303924203249618[/C][/ROW]
[ROW][C]0.96[/C][C]6.20581130916481[/C][C]0.30381864304751[/C][/ROW]
[ROW][C]0.97[/C][C]6.36441792755397[/C][C]0.314451119823143[/C][/ROW]
[ROW][C]0.98[/C][C]6.53790940567121[/C][C]0.355759124134398[/C][/ROW]
[ROW][C]0.99[/C][C]6.70352982538417[/C][C]0.42730036583573[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=20765&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=20765&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
0.01-6.634084620239450.521451695236848
0.02-6.394662973889130.558247654938487
0.03-6.122889044288740.563193901082355
0.04-5.862525284464640.527577171800758
0.05-5.634542811994570.471706877164816
0.06-5.443487067156240.416093973499367
0.07-5.285713966093750.368931084442169
0.08-5.154846929372810.330757461146096
0.09-5.044327200547980.302086946409748
0.1-4.948186749197270.285673528518690
0.11-4.861099047697380.28464111582624
0.12-4.778326939293160.299881525214312
0.13-4.695778239599660.329328829971351
0.14-4.610141783456960.3691046059947
0.15-4.519007903779550.414940696983218
0.16-4.420905544538350.462916900413396
0.17-4.315240787770070.509779229566281
0.18-4.202159295905160.55306931593502
0.19-4.082369614618670.591103319083574
0.2-3.95696183475870.622884037095343
0.21-3.827245547383650.647955244808794
0.22-3.694618663858710.666174873704056
0.23-3.560468164644440.677661817282276
0.24-3.426097076334580.682704380101183
0.25-3.292669571861650.681815922160253
0.26-3.161167481013290.675790261075148
0.27-3.032355148882720.665720967806376
0.28-2.906753509640420.6529675453965
0.29-2.784626746638760.639066505684307
0.3-2.665985123122470.625572409075043
0.31-2.550605650161440.61387058986975
0.32-2.438069162167320.605062779286163
0.33-2.327809354392420.599856159658796
0.34-2.21916745762630.598556561613901
0.35-2.111445997954390.601131873610201
0.36-2.003956404141350.607290880313269
0.37-1.896057493123010.616601647415985
0.38-1.787184292678040.628549626488132
0.39-1.676868539224010.642563473921165
0.4-1.564753092836620.658028394120682
0.41-1.450602377253270.674255859705589
0.42-1.334310030789800.690494475212498
0.43-1.215903681889880.705926737070282
0.44-1.095545607402260.719699512717778
0.45-0.9735273553684310.730988743352258
0.46-0.850256395987490.739055703074475
0.47-0.7262334844285140.743336397791547
0.48-0.6020204977840750.743497202984118
0.49-0.4781997786834860.739489037779015
0.5-0.3553272038904380.73157955101968
0.51-0.2338820765302600.720363082085679
0.52-0.1142173869096370.706743800613752
0.530.003486027052630990.691903592401945
0.540.1192582989363370.67725153879129
0.550.2333698878934930.664364483895808
0.560.3463497975072950.654911846970981
0.570.4589916842332610.650574169522082
0.580.5723473371025330.652949931031191
0.590.6877071204250860.663453836977814
0.60.8065667099274140.683217099999592
0.610.9305789128844040.712987426885785
0.621.06148877559380.753041348272803
0.631.201049910128220.80309449448131
0.641.350920462067200.862215743258802
0.651.512538818880980.92873801894561
0.661.686982289187031.00019335153384
0.671.874816507390731.07328177036729
0.682.075948724023681.14393145486369
0.692.289503421406071.20746672392889
0.72.513742440073231.25890792190552
0.712.746052466998411.29339137711329
0.722.983019032451711.30669571233637
0.733.220597507387651.29578021153488
0.743.454378490161631.25928017499398
0.753.679929159567941.19785943432223
0.763.893176450388261.11432705928613
0.774.090785613701881.01349083500816
0.784.270481959789450.901719943123045
0.794.431266410791330.786329816449382
0.84.573487351534730.674778690384275
0.814.698750804391550.573936051678206
0.824.809675329158520.489344116805371
0.834.909523598979840.424563801357455
0.845.001765548634280.380450982687634
0.855.089644829362050.354705728511997
0.865.175827642931690.342324295803719
0.875.262206988343580.337169726914546
0.885.349911350236780.333782679671367
0.895.439521392285450.328664027831602
0.95.531434669523770.320894700949568
0.915.62625683831390.312062646796759
0.925.725082387823760.305226228387513
0.935.829611500292470.302650882502246
0.945.942225097301240.303410392003839
0.956.066208446884850.303924203249618
0.966.205811309164810.30381864304751
0.976.364417927553970.314451119823143
0.986.537909405671210.355759124134398
0.996.703529825384170.42730036583573


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')