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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, 07 Oct 2014 14:26:16 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/07/t1412688413ds0s0mu8vlc69ss.htm/, Retrieved Fri, 10 May 2024 11:46:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239191, Retrieved Fri, 10 May 2024 11:46:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77

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] [] [2014-10-07 13:26:16] [fc9e02cb2d6d14d0c83d12e3a82852a5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6
1.5
5.7
16.7
11.1
6.7
12
11.2
11.3
15.7
8.8
4.7
3.4
-2.8
3
-6.7
-10.4
-8.7
-14.7
-21.8
-26
-28.4
-26.7
-26.2
-32.7
-32.8
-37.1
-36.3
-32.2
-36
-30.6
-23.6
-16.3
-32.4
-25.8
-23.1
-17.4
-10.5
-7.8
1.7
4.6
-6.4
-0.1
-3.3
1.9
2.5
1.2
1.6
0.8
4.9
-2.2
2.3
-3.6
-3.8
-3.9
-3.3
-15.8
-18.4
-19.5
-21.6
-23
-22.2
-19.4
-17.2
-18.5
-11.1
-13.6
-17.4
-14.5
-15.2
-8.1
-3.9
-5.2
-9.7
-15.7
-20.2
-15
-16.9
-21.6
-10.8
-12.1
-3
-7.8
-6.5

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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239191&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239191&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239191&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-36.71534485156310.891613493693602
0.02-36.02356216134581.30432631624804
0.03-35.16180803127961.68941773500233
0.04-34.24442221781271.81833767803212
0.05-33.35007683576221.81139642407392
0.06-32.50215960770011.88523535852258
0.07-31.67694787525122.10667241959346
0.08-30.83935527371542.38565852577255
0.09-29.97310885128462.61070414330758
0.1-29.08787680676412.72155618374659
0.11-28.20897786269332.71529475406362
0.12-27.36294291451052.62652800113268
0.13-26.56794844675172.50036412842859
0.14-25.83129851503612.37157638464734
0.15-25.15177485685272.25665769428461
0.16-24.52357252789172.15790009005501
0.17-23.93948758194542.07240213712903
0.18-23.39254678728741.99887735080528
0.19-22.87639401951081.93928633846857
0.2-22.38515940979451.89682575966888
0.21-21.91339276994521.87272226855931
0.22-21.4562758093341.8644569789465
0.23-21.01001615966291.86603653036819
0.24-20.57219487618981.86975883378996
0.25-20.14187540940451.86842910044051
0.26-19.71940475693431.85720470315742
0.27-19.30596200428961.83428104808312
0.28-18.9029840525011.80090540764154
0.29-18.51161060908651.76078912848702
0.3-18.13225582623291.71906585185435
0.31-17.76435878698091.68148920850364
0.32-17.40631355458961.65362916630553
0.33-17.05554635900281.64015886946053
0.34-16.7086963038651.64476914417121
0.35-16.36186166393031.66973532729693
0.36-16.01088684668981.71598103040896
0.37-15.65167579194421.78262471344261
0.38-15.28051981012581.86696081758488
0.39-14.89442075263511.96440852541494
0.4-14.49137823263432.0687079778392
0.41-14.07059969736112.17256356095757
0.42-13.63259164726462.26854307053583
0.43-13.17910301264912.34999457746167
0.44-12.71291625389292.41202763051618
0.45-12.23751185418762.45208170962838
0.46-11.75665864405282.47014201011214
0.47-11.27399775850712.46848568137546
0.48-10.79268771107372.45111066206686
0.49-10.3151629562432.42289297744023
0.5-9.843033638940712.38869073957617
0.51-9.377127145903182.35260507238709
0.52-8.917648792886982.31749483573063
0.53-8.464422841796172.2846536530462
0.54-8.01716625978322.25386905247879
0.55-7.575744626061552.22353062925138
0.56-7.140360965259522.19108204439396
0.57-6.711634279187222.15366776930574
0.58-6.290537095563192.10893386070781
0.59-5.878182643073892.05588185091426
0.6-5.4754825181131.99566033358748
0.61-5.082731318918521.93202298048475
0.62-4.699207809102931.87130703685861
0.63-4.322902074768151.82168367450766
0.64-3.950474550388421.79165000044594
0.65-3.577519604578151.78784340832538
0.66-3.19914500090281.81262073709027
0.67-2.810799436140691.86243990388557
0.68-2.409201960963431.92775354861743
0.69-1.993171969413721.99459480322854
0.7-1.564147124264862.04734230903769
0.71-1.126220566326222.07182728758085
0.72-0.685624912908042.05818716395053
0.73-0.2497192896883882.00296753449305
0.740.1743355644222531.91000257487778
0.750.5809369487803581.78989776659806
0.760.9671314461707521.65817555436303
0.771.333186997856961.53237752595823
0.781.68251641312391.4285863708042
0.792.02098503439381.35791029108664
0.82.355799650673411.32393428723335
0.812.694303417634631.32245939929445
0.823.043059622127351.34411682131452
0.833.407570332313521.37884975861543
0.843.792825499788181.42056950281718
0.854.204604121399871.47059163252999
0.864.65106541354321.53872695395339
0.875.143746236634031.64016917636979
0.885.696801826719811.78660131027583
0.896.323514328435241.97309194037492
0.97.030149804232132.16769801303376
0.917.80937263851422.31276531238214
0.928.638106104872852.34389069365385
0.939.486126603557632.22631146765361
0.9410.33850489859671.99944643756721
0.9511.2238077937521.81022044717525
0.9612.2217437910361.8628556134015
0.9713.41287165847162.13876514809609
0.9814.75980369459822.20751398059246
0.9915.99539345107591.66017210158418

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -36.7153448515631 & 0.891613493693602 \tabularnewline
0.02 & -36.0235621613458 & 1.30432631624804 \tabularnewline
0.03 & -35.1618080312796 & 1.68941773500233 \tabularnewline
0.04 & -34.2444222178127 & 1.81833767803212 \tabularnewline
0.05 & -33.3500768357622 & 1.81139642407392 \tabularnewline
0.06 & -32.5021596077001 & 1.88523535852258 \tabularnewline
0.07 & -31.6769478752512 & 2.10667241959346 \tabularnewline
0.08 & -30.8393552737154 & 2.38565852577255 \tabularnewline
0.09 & -29.9731088512846 & 2.61070414330758 \tabularnewline
0.1 & -29.0878768067641 & 2.72155618374659 \tabularnewline
0.11 & -28.2089778626933 & 2.71529475406362 \tabularnewline
0.12 & -27.3629429145105 & 2.62652800113268 \tabularnewline
0.13 & -26.5679484467517 & 2.50036412842859 \tabularnewline
0.14 & -25.8312985150361 & 2.37157638464734 \tabularnewline
0.15 & -25.1517748568527 & 2.25665769428461 \tabularnewline
0.16 & -24.5235725278917 & 2.15790009005501 \tabularnewline
0.17 & -23.9394875819454 & 2.07240213712903 \tabularnewline
0.18 & -23.3925467872874 & 1.99887735080528 \tabularnewline
0.19 & -22.8763940195108 & 1.93928633846857 \tabularnewline
0.2 & -22.3851594097945 & 1.89682575966888 \tabularnewline
0.21 & -21.9133927699452 & 1.87272226855931 \tabularnewline
0.22 & -21.456275809334 & 1.8644569789465 \tabularnewline
0.23 & -21.0100161596629 & 1.86603653036819 \tabularnewline
0.24 & -20.5721948761898 & 1.86975883378996 \tabularnewline
0.25 & -20.1418754094045 & 1.86842910044051 \tabularnewline
0.26 & -19.7194047569343 & 1.85720470315742 \tabularnewline
0.27 & -19.3059620042896 & 1.83428104808312 \tabularnewline
0.28 & -18.902984052501 & 1.80090540764154 \tabularnewline
0.29 & -18.5116106090865 & 1.76078912848702 \tabularnewline
0.3 & -18.1322558262329 & 1.71906585185435 \tabularnewline
0.31 & -17.7643587869809 & 1.68148920850364 \tabularnewline
0.32 & -17.4063135545896 & 1.65362916630553 \tabularnewline
0.33 & -17.0555463590028 & 1.64015886946053 \tabularnewline
0.34 & -16.708696303865 & 1.64476914417121 \tabularnewline
0.35 & -16.3618616639303 & 1.66973532729693 \tabularnewline
0.36 & -16.0108868466898 & 1.71598103040896 \tabularnewline
0.37 & -15.6516757919442 & 1.78262471344261 \tabularnewline
0.38 & -15.2805198101258 & 1.86696081758488 \tabularnewline
0.39 & -14.8944207526351 & 1.96440852541494 \tabularnewline
0.4 & -14.4913782326343 & 2.0687079778392 \tabularnewline
0.41 & -14.0705996973611 & 2.17256356095757 \tabularnewline
0.42 & -13.6325916472646 & 2.26854307053583 \tabularnewline
0.43 & -13.1791030126491 & 2.34999457746167 \tabularnewline
0.44 & -12.7129162538929 & 2.41202763051618 \tabularnewline
0.45 & -12.2375118541876 & 2.45208170962838 \tabularnewline
0.46 & -11.7566586440528 & 2.47014201011214 \tabularnewline
0.47 & -11.2739977585071 & 2.46848568137546 \tabularnewline
0.48 & -10.7926877110737 & 2.45111066206686 \tabularnewline
0.49 & -10.315162956243 & 2.42289297744023 \tabularnewline
0.5 & -9.84303363894071 & 2.38869073957617 \tabularnewline
0.51 & -9.37712714590318 & 2.35260507238709 \tabularnewline
0.52 & -8.91764879288698 & 2.31749483573063 \tabularnewline
0.53 & -8.46442284179617 & 2.2846536530462 \tabularnewline
0.54 & -8.0171662597832 & 2.25386905247879 \tabularnewline
0.55 & -7.57574462606155 & 2.22353062925138 \tabularnewline
0.56 & -7.14036096525952 & 2.19108204439396 \tabularnewline
0.57 & -6.71163427918722 & 2.15366776930574 \tabularnewline
0.58 & -6.29053709556319 & 2.10893386070781 \tabularnewline
0.59 & -5.87818264307389 & 2.05588185091426 \tabularnewline
0.6 & -5.475482518113 & 1.99566033358748 \tabularnewline
0.61 & -5.08273131891852 & 1.93202298048475 \tabularnewline
0.62 & -4.69920780910293 & 1.87130703685861 \tabularnewline
0.63 & -4.32290207476815 & 1.82168367450766 \tabularnewline
0.64 & -3.95047455038842 & 1.79165000044594 \tabularnewline
0.65 & -3.57751960457815 & 1.78784340832538 \tabularnewline
0.66 & -3.1991450009028 & 1.81262073709027 \tabularnewline
0.67 & -2.81079943614069 & 1.86243990388557 \tabularnewline
0.68 & -2.40920196096343 & 1.92775354861743 \tabularnewline
0.69 & -1.99317196941372 & 1.99459480322854 \tabularnewline
0.7 & -1.56414712426486 & 2.04734230903769 \tabularnewline
0.71 & -1.12622056632622 & 2.07182728758085 \tabularnewline
0.72 & -0.68562491290804 & 2.05818716395053 \tabularnewline
0.73 & -0.249719289688388 & 2.00296753449305 \tabularnewline
0.74 & 0.174335564422253 & 1.91000257487778 \tabularnewline
0.75 & 0.580936948780358 & 1.78989776659806 \tabularnewline
0.76 & 0.967131446170752 & 1.65817555436303 \tabularnewline
0.77 & 1.33318699785696 & 1.53237752595823 \tabularnewline
0.78 & 1.6825164131239 & 1.4285863708042 \tabularnewline
0.79 & 2.0209850343938 & 1.35791029108664 \tabularnewline
0.8 & 2.35579965067341 & 1.32393428723335 \tabularnewline
0.81 & 2.69430341763463 & 1.32245939929445 \tabularnewline
0.82 & 3.04305962212735 & 1.34411682131452 \tabularnewline
0.83 & 3.40757033231352 & 1.37884975861543 \tabularnewline
0.84 & 3.79282549978818 & 1.42056950281718 \tabularnewline
0.85 & 4.20460412139987 & 1.47059163252999 \tabularnewline
0.86 & 4.6510654135432 & 1.53872695395339 \tabularnewline
0.87 & 5.14374623663403 & 1.64016917636979 \tabularnewline
0.88 & 5.69680182671981 & 1.78660131027583 \tabularnewline
0.89 & 6.32351432843524 & 1.97309194037492 \tabularnewline
0.9 & 7.03014980423213 & 2.16769801303376 \tabularnewline
0.91 & 7.8093726385142 & 2.31276531238214 \tabularnewline
0.92 & 8.63810610487285 & 2.34389069365385 \tabularnewline
0.93 & 9.48612660355763 & 2.22631146765361 \tabularnewline
0.94 & 10.3385048985967 & 1.99944643756721 \tabularnewline
0.95 & 11.223807793752 & 1.81022044717525 \tabularnewline
0.96 & 12.221743791036 & 1.8628556134015 \tabularnewline
0.97 & 13.4128716584716 & 2.13876514809609 \tabularnewline
0.98 & 14.7598036945982 & 2.20751398059246 \tabularnewline
0.99 & 15.9953934510759 & 1.66017210158418 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239191&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]-36.7153448515631[/C][C]0.891613493693602[/C][/ROW]
[ROW][C]0.02[/C][C]-36.0235621613458[/C][C]1.30432631624804[/C][/ROW]
[ROW][C]0.03[/C][C]-35.1618080312796[/C][C]1.68941773500233[/C][/ROW]
[ROW][C]0.04[/C][C]-34.2444222178127[/C][C]1.81833767803212[/C][/ROW]
[ROW][C]0.05[/C][C]-33.3500768357622[/C][C]1.81139642407392[/C][/ROW]
[ROW][C]0.06[/C][C]-32.5021596077001[/C][C]1.88523535852258[/C][/ROW]
[ROW][C]0.07[/C][C]-31.6769478752512[/C][C]2.10667241959346[/C][/ROW]
[ROW][C]0.08[/C][C]-30.8393552737154[/C][C]2.38565852577255[/C][/ROW]
[ROW][C]0.09[/C][C]-29.9731088512846[/C][C]2.61070414330758[/C][/ROW]
[ROW][C]0.1[/C][C]-29.0878768067641[/C][C]2.72155618374659[/C][/ROW]
[ROW][C]0.11[/C][C]-28.2089778626933[/C][C]2.71529475406362[/C][/ROW]
[ROW][C]0.12[/C][C]-27.3629429145105[/C][C]2.62652800113268[/C][/ROW]
[ROW][C]0.13[/C][C]-26.5679484467517[/C][C]2.50036412842859[/C][/ROW]
[ROW][C]0.14[/C][C]-25.8312985150361[/C][C]2.37157638464734[/C][/ROW]
[ROW][C]0.15[/C][C]-25.1517748568527[/C][C]2.25665769428461[/C][/ROW]
[ROW][C]0.16[/C][C]-24.5235725278917[/C][C]2.15790009005501[/C][/ROW]
[ROW][C]0.17[/C][C]-23.9394875819454[/C][C]2.07240213712903[/C][/ROW]
[ROW][C]0.18[/C][C]-23.3925467872874[/C][C]1.99887735080528[/C][/ROW]
[ROW][C]0.19[/C][C]-22.8763940195108[/C][C]1.93928633846857[/C][/ROW]
[ROW][C]0.2[/C][C]-22.3851594097945[/C][C]1.89682575966888[/C][/ROW]
[ROW][C]0.21[/C][C]-21.9133927699452[/C][C]1.87272226855931[/C][/ROW]
[ROW][C]0.22[/C][C]-21.456275809334[/C][C]1.8644569789465[/C][/ROW]
[ROW][C]0.23[/C][C]-21.0100161596629[/C][C]1.86603653036819[/C][/ROW]
[ROW][C]0.24[/C][C]-20.5721948761898[/C][C]1.86975883378996[/C][/ROW]
[ROW][C]0.25[/C][C]-20.1418754094045[/C][C]1.86842910044051[/C][/ROW]
[ROW][C]0.26[/C][C]-19.7194047569343[/C][C]1.85720470315742[/C][/ROW]
[ROW][C]0.27[/C][C]-19.3059620042896[/C][C]1.83428104808312[/C][/ROW]
[ROW][C]0.28[/C][C]-18.902984052501[/C][C]1.80090540764154[/C][/ROW]
[ROW][C]0.29[/C][C]-18.5116106090865[/C][C]1.76078912848702[/C][/ROW]
[ROW][C]0.3[/C][C]-18.1322558262329[/C][C]1.71906585185435[/C][/ROW]
[ROW][C]0.31[/C][C]-17.7643587869809[/C][C]1.68148920850364[/C][/ROW]
[ROW][C]0.32[/C][C]-17.4063135545896[/C][C]1.65362916630553[/C][/ROW]
[ROW][C]0.33[/C][C]-17.0555463590028[/C][C]1.64015886946053[/C][/ROW]
[ROW][C]0.34[/C][C]-16.708696303865[/C][C]1.64476914417121[/C][/ROW]
[ROW][C]0.35[/C][C]-16.3618616639303[/C][C]1.66973532729693[/C][/ROW]
[ROW][C]0.36[/C][C]-16.0108868466898[/C][C]1.71598103040896[/C][/ROW]
[ROW][C]0.37[/C][C]-15.6516757919442[/C][C]1.78262471344261[/C][/ROW]
[ROW][C]0.38[/C][C]-15.2805198101258[/C][C]1.86696081758488[/C][/ROW]
[ROW][C]0.39[/C][C]-14.8944207526351[/C][C]1.96440852541494[/C][/ROW]
[ROW][C]0.4[/C][C]-14.4913782326343[/C][C]2.0687079778392[/C][/ROW]
[ROW][C]0.41[/C][C]-14.0705996973611[/C][C]2.17256356095757[/C][/ROW]
[ROW][C]0.42[/C][C]-13.6325916472646[/C][C]2.26854307053583[/C][/ROW]
[ROW][C]0.43[/C][C]-13.1791030126491[/C][C]2.34999457746167[/C][/ROW]
[ROW][C]0.44[/C][C]-12.7129162538929[/C][C]2.41202763051618[/C][/ROW]
[ROW][C]0.45[/C][C]-12.2375118541876[/C][C]2.45208170962838[/C][/ROW]
[ROW][C]0.46[/C][C]-11.7566586440528[/C][C]2.47014201011214[/C][/ROW]
[ROW][C]0.47[/C][C]-11.2739977585071[/C][C]2.46848568137546[/C][/ROW]
[ROW][C]0.48[/C][C]-10.7926877110737[/C][C]2.45111066206686[/C][/ROW]
[ROW][C]0.49[/C][C]-10.315162956243[/C][C]2.42289297744023[/C][/ROW]
[ROW][C]0.5[/C][C]-9.84303363894071[/C][C]2.38869073957617[/C][/ROW]
[ROW][C]0.51[/C][C]-9.37712714590318[/C][C]2.35260507238709[/C][/ROW]
[ROW][C]0.52[/C][C]-8.91764879288698[/C][C]2.31749483573063[/C][/ROW]
[ROW][C]0.53[/C][C]-8.46442284179617[/C][C]2.2846536530462[/C][/ROW]
[ROW][C]0.54[/C][C]-8.0171662597832[/C][C]2.25386905247879[/C][/ROW]
[ROW][C]0.55[/C][C]-7.57574462606155[/C][C]2.22353062925138[/C][/ROW]
[ROW][C]0.56[/C][C]-7.14036096525952[/C][C]2.19108204439396[/C][/ROW]
[ROW][C]0.57[/C][C]-6.71163427918722[/C][C]2.15366776930574[/C][/ROW]
[ROW][C]0.58[/C][C]-6.29053709556319[/C][C]2.10893386070781[/C][/ROW]
[ROW][C]0.59[/C][C]-5.87818264307389[/C][C]2.05588185091426[/C][/ROW]
[ROW][C]0.6[/C][C]-5.475482518113[/C][C]1.99566033358748[/C][/ROW]
[ROW][C]0.61[/C][C]-5.08273131891852[/C][C]1.93202298048475[/C][/ROW]
[ROW][C]0.62[/C][C]-4.69920780910293[/C][C]1.87130703685861[/C][/ROW]
[ROW][C]0.63[/C][C]-4.32290207476815[/C][C]1.82168367450766[/C][/ROW]
[ROW][C]0.64[/C][C]-3.95047455038842[/C][C]1.79165000044594[/C][/ROW]
[ROW][C]0.65[/C][C]-3.57751960457815[/C][C]1.78784340832538[/C][/ROW]
[ROW][C]0.66[/C][C]-3.1991450009028[/C][C]1.81262073709027[/C][/ROW]
[ROW][C]0.67[/C][C]-2.81079943614069[/C][C]1.86243990388557[/C][/ROW]
[ROW][C]0.68[/C][C]-2.40920196096343[/C][C]1.92775354861743[/C][/ROW]
[ROW][C]0.69[/C][C]-1.99317196941372[/C][C]1.99459480322854[/C][/ROW]
[ROW][C]0.7[/C][C]-1.56414712426486[/C][C]2.04734230903769[/C][/ROW]
[ROW][C]0.71[/C][C]-1.12622056632622[/C][C]2.07182728758085[/C][/ROW]
[ROW][C]0.72[/C][C]-0.68562491290804[/C][C]2.05818716395053[/C][/ROW]
[ROW][C]0.73[/C][C]-0.249719289688388[/C][C]2.00296753449305[/C][/ROW]
[ROW][C]0.74[/C][C]0.174335564422253[/C][C]1.91000257487778[/C][/ROW]
[ROW][C]0.75[/C][C]0.580936948780358[/C][C]1.78989776659806[/C][/ROW]
[ROW][C]0.76[/C][C]0.967131446170752[/C][C]1.65817555436303[/C][/ROW]
[ROW][C]0.77[/C][C]1.33318699785696[/C][C]1.53237752595823[/C][/ROW]
[ROW][C]0.78[/C][C]1.6825164131239[/C][C]1.4285863708042[/C][/ROW]
[ROW][C]0.79[/C][C]2.0209850343938[/C][C]1.35791029108664[/C][/ROW]
[ROW][C]0.8[/C][C]2.35579965067341[/C][C]1.32393428723335[/C][/ROW]
[ROW][C]0.81[/C][C]2.69430341763463[/C][C]1.32245939929445[/C][/ROW]
[ROW][C]0.82[/C][C]3.04305962212735[/C][C]1.34411682131452[/C][/ROW]
[ROW][C]0.83[/C][C]3.40757033231352[/C][C]1.37884975861543[/C][/ROW]
[ROW][C]0.84[/C][C]3.79282549978818[/C][C]1.42056950281718[/C][/ROW]
[ROW][C]0.85[/C][C]4.20460412139987[/C][C]1.47059163252999[/C][/ROW]
[ROW][C]0.86[/C][C]4.6510654135432[/C][C]1.53872695395339[/C][/ROW]
[ROW][C]0.87[/C][C]5.14374623663403[/C][C]1.64016917636979[/C][/ROW]
[ROW][C]0.88[/C][C]5.69680182671981[/C][C]1.78660131027583[/C][/ROW]
[ROW][C]0.89[/C][C]6.32351432843524[/C][C]1.97309194037492[/C][/ROW]
[ROW][C]0.9[/C][C]7.03014980423213[/C][C]2.16769801303376[/C][/ROW]
[ROW][C]0.91[/C][C]7.8093726385142[/C][C]2.31276531238214[/C][/ROW]
[ROW][C]0.92[/C][C]8.63810610487285[/C][C]2.34389069365385[/C][/ROW]
[ROW][C]0.93[/C][C]9.48612660355763[/C][C]2.22631146765361[/C][/ROW]
[ROW][C]0.94[/C][C]10.3385048985967[/C][C]1.99944643756721[/C][/ROW]
[ROW][C]0.95[/C][C]11.223807793752[/C][C]1.81022044717525[/C][/ROW]
[ROW][C]0.96[/C][C]12.221743791036[/C][C]1.8628556134015[/C][/ROW]
[ROW][C]0.97[/C][C]13.4128716584716[/C][C]2.13876514809609[/C][/ROW]
[ROW][C]0.98[/C][C]14.7598036945982[/C][C]2.20751398059246[/C][/ROW]
[ROW][C]0.99[/C][C]15.9953934510759[/C][C]1.66017210158418[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239191&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239191&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
0.01-36.71534485156310.891613493693602
0.02-36.02356216134581.30432631624804
0.03-35.16180803127961.68941773500233
0.04-34.24442221781271.81833767803212
0.05-33.35007683576221.81139642407392
0.06-32.50215960770011.88523535852258
0.07-31.67694787525122.10667241959346
0.08-30.83935527371542.38565852577255
0.09-29.97310885128462.61070414330758
0.1-29.08787680676412.72155618374659
0.11-28.20897786269332.71529475406362
0.12-27.36294291451052.62652800113268
0.13-26.56794844675172.50036412842859
0.14-25.83129851503612.37157638464734
0.15-25.15177485685272.25665769428461
0.16-24.52357252789172.15790009005501
0.17-23.93948758194542.07240213712903
0.18-23.39254678728741.99887735080528
0.19-22.87639401951081.93928633846857
0.2-22.38515940979451.89682575966888
0.21-21.91339276994521.87272226855931
0.22-21.4562758093341.8644569789465
0.23-21.01001615966291.86603653036819
0.24-20.57219487618981.86975883378996
0.25-20.14187540940451.86842910044051
0.26-19.71940475693431.85720470315742
0.27-19.30596200428961.83428104808312
0.28-18.9029840525011.80090540764154
0.29-18.51161060908651.76078912848702
0.3-18.13225582623291.71906585185435
0.31-17.76435878698091.68148920850364
0.32-17.40631355458961.65362916630553
0.33-17.05554635900281.64015886946053
0.34-16.7086963038651.64476914417121
0.35-16.36186166393031.66973532729693
0.36-16.01088684668981.71598103040896
0.37-15.65167579194421.78262471344261
0.38-15.28051981012581.86696081758488
0.39-14.89442075263511.96440852541494
0.4-14.49137823263432.0687079778392
0.41-14.07059969736112.17256356095757
0.42-13.63259164726462.26854307053583
0.43-13.17910301264912.34999457746167
0.44-12.71291625389292.41202763051618
0.45-12.23751185418762.45208170962838
0.46-11.75665864405282.47014201011214
0.47-11.27399775850712.46848568137546
0.48-10.79268771107372.45111066206686
0.49-10.3151629562432.42289297744023
0.5-9.843033638940712.38869073957617
0.51-9.377127145903182.35260507238709
0.52-8.917648792886982.31749483573063
0.53-8.464422841796172.2846536530462
0.54-8.01716625978322.25386905247879
0.55-7.575744626061552.22353062925138
0.56-7.140360965259522.19108204439396
0.57-6.711634279187222.15366776930574
0.58-6.290537095563192.10893386070781
0.59-5.878182643073892.05588185091426
0.6-5.4754825181131.99566033358748
0.61-5.082731318918521.93202298048475
0.62-4.699207809102931.87130703685861
0.63-4.322902074768151.82168367450766
0.64-3.950474550388421.79165000044594
0.65-3.577519604578151.78784340832538
0.66-3.19914500090281.81262073709027
0.67-2.810799436140691.86243990388557
0.68-2.409201960963431.92775354861743
0.69-1.993171969413721.99459480322854
0.7-1.564147124264862.04734230903769
0.71-1.126220566326222.07182728758085
0.72-0.685624912908042.05818716395053
0.73-0.2497192896883882.00296753449305
0.740.1743355644222531.91000257487778
0.750.5809369487803581.78989776659806
0.760.9671314461707521.65817555436303
0.771.333186997856961.53237752595823
0.781.68251641312391.4285863708042
0.792.02098503439381.35791029108664
0.82.355799650673411.32393428723335
0.812.694303417634631.32245939929445
0.823.043059622127351.34411682131452
0.833.407570332313521.37884975861543
0.843.792825499788181.42056950281718
0.854.204604121399871.47059163252999
0.864.65106541354321.53872695395339
0.875.143746236634031.64016917636979
0.885.696801826719811.78660131027583
0.896.323514328435241.97309194037492
0.97.030149804232132.16769801303376
0.917.80937263851422.31276531238214
0.928.638106104872852.34389069365385
0.939.486126603557632.22631146765361
0.9410.33850489859671.99944643756721
0.9511.2238077937521.81022044717525
0.9612.2217437910361.8628556134015
0.9713.41287165847162.13876514809609
0.9814.75980369459822.20751398059246
0.9915.99539345107591.66017210158418


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')