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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 computationSun, 02 Mar 2008 05:10:20 -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/Mar/02/t1204459878ga8xvq332sxg4ws.htm/, Retrieved Tue, 07 May 2024 00:33:36 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9489, Retrieved Tue, 07 May 2024 00:33:36 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact211

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] [H-D Percentielen ...] [2008-03-02 12:10:20] [b64702de7eac3a2282df81a39c87ddc7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20.66
20.66
20.67
20.71
20.73
20.73
20.74
20.74
20.75
20.75
20.77
20.78
20.78
20.8
20.84
20.85
20.86
20.86
20.86
20.86
20.9
20.92
20.95
20.95
20.95
20.96
21.1
21.18
21.19
21.19
21.19
21.19
21.19
21.21
21.22
21.22
21.22
21.23
21.41
21.42
21.43
21.44
21.44
21.44
21.48
21.53
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.54
21.57
21.6
21.61
21.6
21.6
21.71
21.75
21.84
21.85
21.92
21.92
21.93
22
22
21.99
22.01
22.01

Tables (Output of Computation)





Summary of compuational 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 compuational 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=9489&T=0

[TABLE]
[ROW][C]Summary of compuational 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=9489&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9489&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 compuational 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
0.0120.66203681221760.00625051197439368
0.0220.66754123235260.0157898860069904
0.0320.67665334701560.0240723884178005
0.0420.68814330322650.0281462094329558
0.0520.70024855012700.0278696742239225
0.0620.71152640941900.0249203582178170
0.0720.72125850438880.0213602938425429
0.0820.72940908827830.0187639811424674
0.0920.73636253514550.0178339176608239
0.120.74265079478960.0185612585248675
0.1120.74877194120900.0205438897797474
0.1220.75510767848400.0233771646269029
0.1320.76190646721770.0266428764613026
0.1420.7692970092320.0300955488842595
0.1520.77731041321520.0334181738938639
0.1620.78590277033870.0363730101812484
0.1720.79497756130080.0387801187282303
0.1820.80440954592500.0405947319158054
0.1920.81407067796140.0418164830060415
0.220.82385630537550.0426086526278712
0.2120.83370810043110.0432887188308274
0.2220.84362974670980.0442362356226187
0.2320.85369253462410.0458124873959563
0.2420.86403013470050.048347062021022
0.2520.87482402282170.052016377949719
0.2620.88628250967920.0568876173739825
0.2720.89861671070660.0628583107097226
0.2820.91201626153020.0697506191926384
0.2920.92662668880660.0772757608867332
0.320.94252968271230.0850620247009228
0.3120.9597274180010.0926761175614521
0.3220.97813246165390.0995714078311984
0.3320.99756527476910.105227040128734
0.3421.01776134136690.109210846401560
0.3521.03838917109330.111110315488915
0.3621.05907880333850.110809805902715
0.3721.07945833599080.108355869813999
0.3821.09919400456970.104025969551330
0.3921.11802805887880.0983712816251435
0.421.13580853841070.0920345040445672
0.4121.15250611944820.0857985632564679
0.4221.16821524822410.0804538343111507
0.4321.18313931141320.0766849358472056
0.4421.19756208783060.0749498456787476
0.4521.21180971627380.0754548150752747
0.4621.22620861737730.0779601008875697
0.4721.2410451215260.0820467762107251
0.4821.2565320283620.0870597603477402
0.4921.27278609902430.0923077798722948
0.521.28981875753890.0970680733173526
0.5121.30754028968490.100864203478797
0.5221.32577585067220.103226673010943
0.5321.34428992815450.103937304506672
0.5421.36281484424450.102941097697367
0.5521.38107863268340.100383465160464
0.5621.39882826016840.0964469999799965
0.5721.41584554401430.0914563079159346
0.5821.43195493398780.0857056350111785
0.5921.44702413910300.0794383970524684
0.621.46095995503560.072886551621724
0.6121.47370227473560.0661832449567749
0.6221.48521904927240.0594330035094205
0.6321.49550404984540.052720131161262
0.6421.50457798893140.0461489301073104
0.6521.51249228507400.0398653228212833
0.6621.51933384839370.0340074033402506
0.6721.52522892656700.0288288484217713
0.6821.53034431055730.0245189590017704
0.6921.53488493010860.0213349554198432
0.721.53908785473030.0194938254880057
0.7121.54321371436040.0191429830022015
0.7221.54753733639730.0203032459342683
0.7321.55233975720070.0228436193423099
0.7421.55790352679170.0266173198203988
0.7521.56451226045790.031480294223701
0.7621.57245371018740.0373966235974816
0.7721.58202349188480.0443912002378822
0.7821.59352460388670.0524881035801642
0.7921.60725689097950.0616538045308133
0.821.62349157685160.071715696907436
0.8121.64242946518820.0822791395296376
0.8221.66414712651580.0926711105013833
0.8321.68854199377680.102004098705098
0.8421.71529250744830.109295355949981
0.8521.74385068696730.113611217730333
0.8621.77347974022790.114271585351981
0.8721.80333801490990.111117070571799
0.8821.83259443545720.104494211119105
0.8921.86054409234330.0953002362552327
0.921.8866834411610.0847090763530285
0.9121.91071187025230.0738664530344531
0.9221.93245609634350.0634740620639091
0.9321.95175941385090.0535268543795956
0.9421.96841276277000.0435757804540405
0.9521.98219004471570.0333641617071932
0.9621.99296978012640.0233956509514022
0.9722.0008323307990.0147520955143251
0.9822.00603376469720.00811808893200887
0.9922.00892386632810.0031829536746453

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 20.6620368122176 & 0.00625051197439368 \tabularnewline
0.02 & 20.6675412323526 & 0.0157898860069904 \tabularnewline
0.03 & 20.6766533470156 & 0.0240723884178005 \tabularnewline
0.04 & 20.6881433032265 & 0.0281462094329558 \tabularnewline
0.05 & 20.7002485501270 & 0.0278696742239225 \tabularnewline
0.06 & 20.7115264094190 & 0.0249203582178170 \tabularnewline
0.07 & 20.7212585043888 & 0.0213602938425429 \tabularnewline
0.08 & 20.7294090882783 & 0.0187639811424674 \tabularnewline
0.09 & 20.7363625351455 & 0.0178339176608239 \tabularnewline
0.1 & 20.7426507947896 & 0.0185612585248675 \tabularnewline
0.11 & 20.7487719412090 & 0.0205438897797474 \tabularnewline
0.12 & 20.7551076784840 & 0.0233771646269029 \tabularnewline
0.13 & 20.7619064672177 & 0.0266428764613026 \tabularnewline
0.14 & 20.769297009232 & 0.0300955488842595 \tabularnewline
0.15 & 20.7773104132152 & 0.0334181738938639 \tabularnewline
0.16 & 20.7859027703387 & 0.0363730101812484 \tabularnewline
0.17 & 20.7949775613008 & 0.0387801187282303 \tabularnewline
0.18 & 20.8044095459250 & 0.0405947319158054 \tabularnewline
0.19 & 20.8140706779614 & 0.0418164830060415 \tabularnewline
0.2 & 20.8238563053755 & 0.0426086526278712 \tabularnewline
0.21 & 20.8337081004311 & 0.0432887188308274 \tabularnewline
0.22 & 20.8436297467098 & 0.0442362356226187 \tabularnewline
0.23 & 20.8536925346241 & 0.0458124873959563 \tabularnewline
0.24 & 20.8640301347005 & 0.048347062021022 \tabularnewline
0.25 & 20.8748240228217 & 0.052016377949719 \tabularnewline
0.26 & 20.8862825096792 & 0.0568876173739825 \tabularnewline
0.27 & 20.8986167107066 & 0.0628583107097226 \tabularnewline
0.28 & 20.9120162615302 & 0.0697506191926384 \tabularnewline
0.29 & 20.9266266888066 & 0.0772757608867332 \tabularnewline
0.3 & 20.9425296827123 & 0.0850620247009228 \tabularnewline
0.31 & 20.959727418001 & 0.0926761175614521 \tabularnewline
0.32 & 20.9781324616539 & 0.0995714078311984 \tabularnewline
0.33 & 20.9975652747691 & 0.105227040128734 \tabularnewline
0.34 & 21.0177613413669 & 0.109210846401560 \tabularnewline
0.35 & 21.0383891710933 & 0.111110315488915 \tabularnewline
0.36 & 21.0590788033385 & 0.110809805902715 \tabularnewline
0.37 & 21.0794583359908 & 0.108355869813999 \tabularnewline
0.38 & 21.0991940045697 & 0.104025969551330 \tabularnewline
0.39 & 21.1180280588788 & 0.0983712816251435 \tabularnewline
0.4 & 21.1358085384107 & 0.0920345040445672 \tabularnewline
0.41 & 21.1525061194482 & 0.0857985632564679 \tabularnewline
0.42 & 21.1682152482241 & 0.0804538343111507 \tabularnewline
0.43 & 21.1831393114132 & 0.0766849358472056 \tabularnewline
0.44 & 21.1975620878306 & 0.0749498456787476 \tabularnewline
0.45 & 21.2118097162738 & 0.0754548150752747 \tabularnewline
0.46 & 21.2262086173773 & 0.0779601008875697 \tabularnewline
0.47 & 21.241045121526 & 0.0820467762107251 \tabularnewline
0.48 & 21.256532028362 & 0.0870597603477402 \tabularnewline
0.49 & 21.2727860990243 & 0.0923077798722948 \tabularnewline
0.5 & 21.2898187575389 & 0.0970680733173526 \tabularnewline
0.51 & 21.3075402896849 & 0.100864203478797 \tabularnewline
0.52 & 21.3257758506722 & 0.103226673010943 \tabularnewline
0.53 & 21.3442899281545 & 0.103937304506672 \tabularnewline
0.54 & 21.3628148442445 & 0.102941097697367 \tabularnewline
0.55 & 21.3810786326834 & 0.100383465160464 \tabularnewline
0.56 & 21.3988282601684 & 0.0964469999799965 \tabularnewline
0.57 & 21.4158455440143 & 0.0914563079159346 \tabularnewline
0.58 & 21.4319549339878 & 0.0857056350111785 \tabularnewline
0.59 & 21.4470241391030 & 0.0794383970524684 \tabularnewline
0.6 & 21.4609599550356 & 0.072886551621724 \tabularnewline
0.61 & 21.4737022747356 & 0.0661832449567749 \tabularnewline
0.62 & 21.4852190492724 & 0.0594330035094205 \tabularnewline
0.63 & 21.4955040498454 & 0.052720131161262 \tabularnewline
0.64 & 21.5045779889314 & 0.0461489301073104 \tabularnewline
0.65 & 21.5124922850740 & 0.0398653228212833 \tabularnewline
0.66 & 21.5193338483937 & 0.0340074033402506 \tabularnewline
0.67 & 21.5252289265670 & 0.0288288484217713 \tabularnewline
0.68 & 21.5303443105573 & 0.0245189590017704 \tabularnewline
0.69 & 21.5348849301086 & 0.0213349554198432 \tabularnewline
0.7 & 21.5390878547303 & 0.0194938254880057 \tabularnewline
0.71 & 21.5432137143604 & 0.0191429830022015 \tabularnewline
0.72 & 21.5475373363973 & 0.0203032459342683 \tabularnewline
0.73 & 21.5523397572007 & 0.0228436193423099 \tabularnewline
0.74 & 21.5579035267917 & 0.0266173198203988 \tabularnewline
0.75 & 21.5645122604579 & 0.031480294223701 \tabularnewline
0.76 & 21.5724537101874 & 0.0373966235974816 \tabularnewline
0.77 & 21.5820234918848 & 0.0443912002378822 \tabularnewline
0.78 & 21.5935246038867 & 0.0524881035801642 \tabularnewline
0.79 & 21.6072568909795 & 0.0616538045308133 \tabularnewline
0.8 & 21.6234915768516 & 0.071715696907436 \tabularnewline
0.81 & 21.6424294651882 & 0.0822791395296376 \tabularnewline
0.82 & 21.6641471265158 & 0.0926711105013833 \tabularnewline
0.83 & 21.6885419937768 & 0.102004098705098 \tabularnewline
0.84 & 21.7152925074483 & 0.109295355949981 \tabularnewline
0.85 & 21.7438506869673 & 0.113611217730333 \tabularnewline
0.86 & 21.7734797402279 & 0.114271585351981 \tabularnewline
0.87 & 21.8033380149099 & 0.111117070571799 \tabularnewline
0.88 & 21.8325944354572 & 0.104494211119105 \tabularnewline
0.89 & 21.8605440923433 & 0.0953002362552327 \tabularnewline
0.9 & 21.886683441161 & 0.0847090763530285 \tabularnewline
0.91 & 21.9107118702523 & 0.0738664530344531 \tabularnewline
0.92 & 21.9324560963435 & 0.0634740620639091 \tabularnewline
0.93 & 21.9517594138509 & 0.0535268543795956 \tabularnewline
0.94 & 21.9684127627700 & 0.0435757804540405 \tabularnewline
0.95 & 21.9821900447157 & 0.0333641617071932 \tabularnewline
0.96 & 21.9929697801264 & 0.0233956509514022 \tabularnewline
0.97 & 22.000832330799 & 0.0147520955143251 \tabularnewline
0.98 & 22.0060337646972 & 0.00811808893200887 \tabularnewline
0.99 & 22.0089238663281 & 0.0031829536746453 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9489&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]20.6620368122176[/C][C]0.00625051197439368[/C][/ROW]
[ROW][C]0.02[/C][C]20.6675412323526[/C][C]0.0157898860069904[/C][/ROW]
[ROW][C]0.03[/C][C]20.6766533470156[/C][C]0.0240723884178005[/C][/ROW]
[ROW][C]0.04[/C][C]20.6881433032265[/C][C]0.0281462094329558[/C][/ROW]
[ROW][C]0.05[/C][C]20.7002485501270[/C][C]0.0278696742239225[/C][/ROW]
[ROW][C]0.06[/C][C]20.7115264094190[/C][C]0.0249203582178170[/C][/ROW]
[ROW][C]0.07[/C][C]20.7212585043888[/C][C]0.0213602938425429[/C][/ROW]
[ROW][C]0.08[/C][C]20.7294090882783[/C][C]0.0187639811424674[/C][/ROW]
[ROW][C]0.09[/C][C]20.7363625351455[/C][C]0.0178339176608239[/C][/ROW]
[ROW][C]0.1[/C][C]20.7426507947896[/C][C]0.0185612585248675[/C][/ROW]
[ROW][C]0.11[/C][C]20.7487719412090[/C][C]0.0205438897797474[/C][/ROW]
[ROW][C]0.12[/C][C]20.7551076784840[/C][C]0.0233771646269029[/C][/ROW]
[ROW][C]0.13[/C][C]20.7619064672177[/C][C]0.0266428764613026[/C][/ROW]
[ROW][C]0.14[/C][C]20.769297009232[/C][C]0.0300955488842595[/C][/ROW]
[ROW][C]0.15[/C][C]20.7773104132152[/C][C]0.0334181738938639[/C][/ROW]
[ROW][C]0.16[/C][C]20.7859027703387[/C][C]0.0363730101812484[/C][/ROW]
[ROW][C]0.17[/C][C]20.7949775613008[/C][C]0.0387801187282303[/C][/ROW]
[ROW][C]0.18[/C][C]20.8044095459250[/C][C]0.0405947319158054[/C][/ROW]
[ROW][C]0.19[/C][C]20.8140706779614[/C][C]0.0418164830060415[/C][/ROW]
[ROW][C]0.2[/C][C]20.8238563053755[/C][C]0.0426086526278712[/C][/ROW]
[ROW][C]0.21[/C][C]20.8337081004311[/C][C]0.0432887188308274[/C][/ROW]
[ROW][C]0.22[/C][C]20.8436297467098[/C][C]0.0442362356226187[/C][/ROW]
[ROW][C]0.23[/C][C]20.8536925346241[/C][C]0.0458124873959563[/C][/ROW]
[ROW][C]0.24[/C][C]20.8640301347005[/C][C]0.048347062021022[/C][/ROW]
[ROW][C]0.25[/C][C]20.8748240228217[/C][C]0.052016377949719[/C][/ROW]
[ROW][C]0.26[/C][C]20.8862825096792[/C][C]0.0568876173739825[/C][/ROW]
[ROW][C]0.27[/C][C]20.8986167107066[/C][C]0.0628583107097226[/C][/ROW]
[ROW][C]0.28[/C][C]20.9120162615302[/C][C]0.0697506191926384[/C][/ROW]
[ROW][C]0.29[/C][C]20.9266266888066[/C][C]0.0772757608867332[/C][/ROW]
[ROW][C]0.3[/C][C]20.9425296827123[/C][C]0.0850620247009228[/C][/ROW]
[ROW][C]0.31[/C][C]20.959727418001[/C][C]0.0926761175614521[/C][/ROW]
[ROW][C]0.32[/C][C]20.9781324616539[/C][C]0.0995714078311984[/C][/ROW]
[ROW][C]0.33[/C][C]20.9975652747691[/C][C]0.105227040128734[/C][/ROW]
[ROW][C]0.34[/C][C]21.0177613413669[/C][C]0.109210846401560[/C][/ROW]
[ROW][C]0.35[/C][C]21.0383891710933[/C][C]0.111110315488915[/C][/ROW]
[ROW][C]0.36[/C][C]21.0590788033385[/C][C]0.110809805902715[/C][/ROW]
[ROW][C]0.37[/C][C]21.0794583359908[/C][C]0.108355869813999[/C][/ROW]
[ROW][C]0.38[/C][C]21.0991940045697[/C][C]0.104025969551330[/C][/ROW]
[ROW][C]0.39[/C][C]21.1180280588788[/C][C]0.0983712816251435[/C][/ROW]
[ROW][C]0.4[/C][C]21.1358085384107[/C][C]0.0920345040445672[/C][/ROW]
[ROW][C]0.41[/C][C]21.1525061194482[/C][C]0.0857985632564679[/C][/ROW]
[ROW][C]0.42[/C][C]21.1682152482241[/C][C]0.0804538343111507[/C][/ROW]
[ROW][C]0.43[/C][C]21.1831393114132[/C][C]0.0766849358472056[/C][/ROW]
[ROW][C]0.44[/C][C]21.1975620878306[/C][C]0.0749498456787476[/C][/ROW]
[ROW][C]0.45[/C][C]21.2118097162738[/C][C]0.0754548150752747[/C][/ROW]
[ROW][C]0.46[/C][C]21.2262086173773[/C][C]0.0779601008875697[/C][/ROW]
[ROW][C]0.47[/C][C]21.241045121526[/C][C]0.0820467762107251[/C][/ROW]
[ROW][C]0.48[/C][C]21.256532028362[/C][C]0.0870597603477402[/C][/ROW]
[ROW][C]0.49[/C][C]21.2727860990243[/C][C]0.0923077798722948[/C][/ROW]
[ROW][C]0.5[/C][C]21.2898187575389[/C][C]0.0970680733173526[/C][/ROW]
[ROW][C]0.51[/C][C]21.3075402896849[/C][C]0.100864203478797[/C][/ROW]
[ROW][C]0.52[/C][C]21.3257758506722[/C][C]0.103226673010943[/C][/ROW]
[ROW][C]0.53[/C][C]21.3442899281545[/C][C]0.103937304506672[/C][/ROW]
[ROW][C]0.54[/C][C]21.3628148442445[/C][C]0.102941097697367[/C][/ROW]
[ROW][C]0.55[/C][C]21.3810786326834[/C][C]0.100383465160464[/C][/ROW]
[ROW][C]0.56[/C][C]21.3988282601684[/C][C]0.0964469999799965[/C][/ROW]
[ROW][C]0.57[/C][C]21.4158455440143[/C][C]0.0914563079159346[/C][/ROW]
[ROW][C]0.58[/C][C]21.4319549339878[/C][C]0.0857056350111785[/C][/ROW]
[ROW][C]0.59[/C][C]21.4470241391030[/C][C]0.0794383970524684[/C][/ROW]
[ROW][C]0.6[/C][C]21.4609599550356[/C][C]0.072886551621724[/C][/ROW]
[ROW][C]0.61[/C][C]21.4737022747356[/C][C]0.0661832449567749[/C][/ROW]
[ROW][C]0.62[/C][C]21.4852190492724[/C][C]0.0594330035094205[/C][/ROW]
[ROW][C]0.63[/C][C]21.4955040498454[/C][C]0.052720131161262[/C][/ROW]
[ROW][C]0.64[/C][C]21.5045779889314[/C][C]0.0461489301073104[/C][/ROW]
[ROW][C]0.65[/C][C]21.5124922850740[/C][C]0.0398653228212833[/C][/ROW]
[ROW][C]0.66[/C][C]21.5193338483937[/C][C]0.0340074033402506[/C][/ROW]
[ROW][C]0.67[/C][C]21.5252289265670[/C][C]0.0288288484217713[/C][/ROW]
[ROW][C]0.68[/C][C]21.5303443105573[/C][C]0.0245189590017704[/C][/ROW]
[ROW][C]0.69[/C][C]21.5348849301086[/C][C]0.0213349554198432[/C][/ROW]
[ROW][C]0.7[/C][C]21.5390878547303[/C][C]0.0194938254880057[/C][/ROW]
[ROW][C]0.71[/C][C]21.5432137143604[/C][C]0.0191429830022015[/C][/ROW]
[ROW][C]0.72[/C][C]21.5475373363973[/C][C]0.0203032459342683[/C][/ROW]
[ROW][C]0.73[/C][C]21.5523397572007[/C][C]0.0228436193423099[/C][/ROW]
[ROW][C]0.74[/C][C]21.5579035267917[/C][C]0.0266173198203988[/C][/ROW]
[ROW][C]0.75[/C][C]21.5645122604579[/C][C]0.031480294223701[/C][/ROW]
[ROW][C]0.76[/C][C]21.5724537101874[/C][C]0.0373966235974816[/C][/ROW]
[ROW][C]0.77[/C][C]21.5820234918848[/C][C]0.0443912002378822[/C][/ROW]
[ROW][C]0.78[/C][C]21.5935246038867[/C][C]0.0524881035801642[/C][/ROW]
[ROW][C]0.79[/C][C]21.6072568909795[/C][C]0.0616538045308133[/C][/ROW]
[ROW][C]0.8[/C][C]21.6234915768516[/C][C]0.071715696907436[/C][/ROW]
[ROW][C]0.81[/C][C]21.6424294651882[/C][C]0.0822791395296376[/C][/ROW]
[ROW][C]0.82[/C][C]21.6641471265158[/C][C]0.0926711105013833[/C][/ROW]
[ROW][C]0.83[/C][C]21.6885419937768[/C][C]0.102004098705098[/C][/ROW]
[ROW][C]0.84[/C][C]21.7152925074483[/C][C]0.109295355949981[/C][/ROW]
[ROW][C]0.85[/C][C]21.7438506869673[/C][C]0.113611217730333[/C][/ROW]
[ROW][C]0.86[/C][C]21.7734797402279[/C][C]0.114271585351981[/C][/ROW]
[ROW][C]0.87[/C][C]21.8033380149099[/C][C]0.111117070571799[/C][/ROW]
[ROW][C]0.88[/C][C]21.8325944354572[/C][C]0.104494211119105[/C][/ROW]
[ROW][C]0.89[/C][C]21.8605440923433[/C][C]0.0953002362552327[/C][/ROW]
[ROW][C]0.9[/C][C]21.886683441161[/C][C]0.0847090763530285[/C][/ROW]
[ROW][C]0.91[/C][C]21.9107118702523[/C][C]0.0738664530344531[/C][/ROW]
[ROW][C]0.92[/C][C]21.9324560963435[/C][C]0.0634740620639091[/C][/ROW]
[ROW][C]0.93[/C][C]21.9517594138509[/C][C]0.0535268543795956[/C][/ROW]
[ROW][C]0.94[/C][C]21.9684127627700[/C][C]0.0435757804540405[/C][/ROW]
[ROW][C]0.95[/C][C]21.9821900447157[/C][C]0.0333641617071932[/C][/ROW]
[ROW][C]0.96[/C][C]21.9929697801264[/C][C]0.0233956509514022[/C][/ROW]
[ROW][C]0.97[/C][C]22.000832330799[/C][C]0.0147520955143251[/C][/ROW]
[ROW][C]0.98[/C][C]22.0060337646972[/C][C]0.00811808893200887[/C][/ROW]
[ROW][C]0.99[/C][C]22.0089238663281[/C][C]0.0031829536746453[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9489&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9489&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
0.0120.66203681221760.00625051197439368
0.0220.66754123235260.0157898860069904
0.0320.67665334701560.0240723884178005
0.0420.68814330322650.0281462094329558
0.0520.70024855012700.0278696742239225
0.0620.71152640941900.0249203582178170
0.0720.72125850438880.0213602938425429
0.0820.72940908827830.0187639811424674
0.0920.73636253514550.0178339176608239
0.120.74265079478960.0185612585248675
0.1120.74877194120900.0205438897797474
0.1220.75510767848400.0233771646269029
0.1320.76190646721770.0266428764613026
0.1420.7692970092320.0300955488842595
0.1520.77731041321520.0334181738938639
0.1620.78590277033870.0363730101812484
0.1720.79497756130080.0387801187282303
0.1820.80440954592500.0405947319158054
0.1920.81407067796140.0418164830060415
0.220.82385630537550.0426086526278712
0.2120.83370810043110.0432887188308274
0.2220.84362974670980.0442362356226187
0.2320.85369253462410.0458124873959563
0.2420.86403013470050.048347062021022
0.2520.87482402282170.052016377949719
0.2620.88628250967920.0568876173739825
0.2720.89861671070660.0628583107097226
0.2820.91201626153020.0697506191926384
0.2920.92662668880660.0772757608867332
0.320.94252968271230.0850620247009228
0.3120.9597274180010.0926761175614521
0.3220.97813246165390.0995714078311984
0.3320.99756527476910.105227040128734
0.3421.01776134136690.109210846401560
0.3521.03838917109330.111110315488915
0.3621.05907880333850.110809805902715
0.3721.07945833599080.108355869813999
0.3821.09919400456970.104025969551330
0.3921.11802805887880.0983712816251435
0.421.13580853841070.0920345040445672
0.4121.15250611944820.0857985632564679
0.4221.16821524822410.0804538343111507
0.4321.18313931141320.0766849358472056
0.4421.19756208783060.0749498456787476
0.4521.21180971627380.0754548150752747
0.4621.22620861737730.0779601008875697
0.4721.2410451215260.0820467762107251
0.4821.2565320283620.0870597603477402
0.4921.27278609902430.0923077798722948
0.521.28981875753890.0970680733173526
0.5121.30754028968490.100864203478797
0.5221.32577585067220.103226673010943
0.5321.34428992815450.103937304506672
0.5421.36281484424450.102941097697367
0.5521.38107863268340.100383465160464
0.5621.39882826016840.0964469999799965
0.5721.41584554401430.0914563079159346
0.5821.43195493398780.0857056350111785
0.5921.44702413910300.0794383970524684
0.621.46095995503560.072886551621724
0.6121.47370227473560.0661832449567749
0.6221.48521904927240.0594330035094205
0.6321.49550404984540.052720131161262
0.6421.50457798893140.0461489301073104
0.6521.51249228507400.0398653228212833
0.6621.51933384839370.0340074033402506
0.6721.52522892656700.0288288484217713
0.6821.53034431055730.0245189590017704
0.6921.53488493010860.0213349554198432
0.721.53908785473030.0194938254880057
0.7121.54321371436040.0191429830022015
0.7221.54753733639730.0203032459342683
0.7321.55233975720070.0228436193423099
0.7421.55790352679170.0266173198203988
0.7521.56451226045790.031480294223701
0.7621.57245371018740.0373966235974816
0.7721.58202349188480.0443912002378822
0.7821.59352460388670.0524881035801642
0.7921.60725689097950.0616538045308133
0.821.62349157685160.071715696907436
0.8121.64242946518820.0822791395296376
0.8221.66414712651580.0926711105013833
0.8321.68854199377680.102004098705098
0.8421.71529250744830.109295355949981
0.8521.74385068696730.113611217730333
0.8621.77347974022790.114271585351981
0.8721.80333801490990.111117070571799
0.8821.83259443545720.104494211119105
0.8921.86054409234330.0953002362552327
0.921.8866834411610.0847090763530285
0.9121.91071187025230.0738664530344531
0.9221.93245609634350.0634740620639091
0.9321.95175941385090.0535268543795956
0.9421.96841276277000.0435757804540405
0.9521.98219004471570.0333641617071932
0.9621.99296978012640.0233956509514022
0.9722.0008323307990.0147520955143251
0.9822.00603376469720.00811808893200887
0.9922.00892386632810.0031829536746453


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')