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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 computationThu, 12 Feb 2015 18:58:42 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/12/t1423767544rix88s4u71p00y8.htm/, Retrieved Sat, 18 May 2024 11:06:23 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277263, Retrieved Sat, 18 May 2024 11:06:23 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

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] [] [2015-02-12 18:58:42] [f6ba6fe2e657f2a4c34c9d874eedca96] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
101,97
103,9
106,85
106,93
107,13
107,07
107,2
107,78
108
108,11
107,26
105,3
105,55
105,38
106,12
106,85
107,92
107,97
107,76
107,99
108,41
107,61
106,54
106,24
106,19
106,71
106,36
107,53
107,89
108
108,05
108,86
109,27
108,87
108,88
108,19
108,19
108,91
110,39
111,21
111,44
111,87
111,88
111,93
111,76
111,66
110,25
109,05
109,47
109,68
110,93
111,86
112,66
112,96
113,14
113,53
113,62
112,51
111
108,49
108,52
110,66
111,15
112,14
113,38
113,75
113,89
113,92
116,4
115,86
115,16
114,45
114,65
114,85
116,51
118,18
118,75
119,06
119,28
119,68
119,28
117,3
114,23
112,56
112,83
112,35
112,8
113,84
115,02
115,46
115
115,3
116,09
115,49
112,89
110,66

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'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277263&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277263&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277263&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01102.837228427681.60347553906917
0.02103.945969543711.18747735197033
0.03104.781919513260.817578706939666
0.04105.3117374671210.584493609339256
0.05105.6531996948110.478053543787012
0.06105.8979001281520.424298338623638
0.07106.0914449270480.384368639661419
0.08106.2537668471160.354770782895819
0.09106.3949663139810.336765100878023
0.1106.5215086255760.32642017765204
0.11106.6376997265940.319067569008171
0.12106.746292864490.313503995837923
0.13106.8492279314370.311007317395936
0.14106.9481990745180.313322196113697
0.15107.0447803939170.319992603077254
0.16107.1402060726950.329251119869115
0.17107.2350741670730.337759951340226
0.18107.329192999990.342492330053511
0.19107.4216534820350.340811902635265
0.2107.5110950152090.331798997655307
0.21107.596072216180.315992511795387
0.22107.6754188651590.295375842563464
0.23107.7485266497420.273107657070137
0.24107.8154924490210.252272480366499
0.25107.8771255608980.236026630369482
0.26107.934836132450.227199365520286
0.27107.9904438142790.22730065040387
0.28108.0459516630260.236698864933956
0.29108.1033276431060.254723178004486
0.3108.164328156870.279462082440017
0.31108.2303871038780.309427726360076
0.32108.3025810002180.342718128888902
0.33108.3816662959090.378370532437777
0.34108.4681705545310.415699071793188
0.35108.562507133780.454550463610167
0.36108.6650767016720.495549373745487
0.37108.7763211666210.53947590413743
0.38108.8967073443590.58628793576698
0.39109.0266370144510.635720467085512
0.4109.1663021424370.685822763534302
0.41109.3155224941240.734126296119735
0.42109.4736116051220.777829408110785
0.43109.6393127175810.813571959937421
0.44109.8108296079290.838375446176396
0.45109.9859530732530.851085337172373
0.46110.1622596364570.851037186523735
0.47110.3373421550920.838923596757549
0.48110.509027230330.816637516295751
0.49110.6755421403960.786763931107178
0.5110.8356107835610.75201991441116
0.51110.9884774938780.714852085952195
0.52111.1338731242760.677679659535178
0.53111.2719452504260.642029490606858
0.54111.4031731040250.609270325664107
0.55111.5282806963420.580346066512602
0.56111.6481532280990.556020196457285
0.57111.7637566438050.536353869276911
0.58111.8760601456880.52137759971517
0.59111.9859656244820.510540184899856
0.6112.0942528768230.503091219786382
0.61112.201551171550.497979971587124
0.62112.3083437735620.494256516416729
0.63112.4150030036640.491512749293901
0.64112.5218428764030.48963393182001
0.65112.6291693757340.488591890981296
0.66112.7373091410540.489077654739151
0.67112.8466067252510.491160669286932
0.68112.9573954830240.494522814695795
0.69113.0699611017080.498817843029424
0.7113.1845226481290.503322468228428
0.71113.3012492939320.507683833934158
0.72113.4203125298380.511781475647304
0.73113.5419507463180.516218517089193
0.74113.666506646610.521688818949254
0.75113.7943986535550.528860100267207
0.76113.926009902380.537566653292895
0.77114.0615173891650.546503652731616
0.78114.2007244792490.553617941187707
0.79114.342982784620.556493196429225
0.8114.4872790542070.55319102355399
0.81114.6325166575010.54350038330691
0.82114.7779537954260.529368522445879
0.83114.9236993874730.514619018625453
0.84115.0711431318310.504715970997497
0.85115.2232276652470.505183041627836
0.86115.3845513530170.520627785614838
0.87115.5613748794580.554465796346488
0.88115.761607320.608689952369606
0.89115.9946717483570.685035412609269
0.9116.2707866455630.783169084070334
0.91116.5988665672860.89646089490536
0.92116.9824382095551.00519430249469
0.93117.4141642776151.07486141548563
0.94117.8715705890311.0654067269026
0.95118.3181238924840.95162000609111
0.96118.7134572251160.74369485117518
0.97119.0335289491740.496038720966994
0.98119.2911168966620.30552929392032
0.99119.5187626802650.297070984681563

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 102.83722842768 & 1.60347553906917 \tabularnewline
0.02 & 103.94596954371 & 1.18747735197033 \tabularnewline
0.03 & 104.78191951326 & 0.817578706939666 \tabularnewline
0.04 & 105.311737467121 & 0.584493609339256 \tabularnewline
0.05 & 105.653199694811 & 0.478053543787012 \tabularnewline
0.06 & 105.897900128152 & 0.424298338623638 \tabularnewline
0.07 & 106.091444927048 & 0.384368639661419 \tabularnewline
0.08 & 106.253766847116 & 0.354770782895819 \tabularnewline
0.09 & 106.394966313981 & 0.336765100878023 \tabularnewline
0.1 & 106.521508625576 & 0.32642017765204 \tabularnewline
0.11 & 106.637699726594 & 0.319067569008171 \tabularnewline
0.12 & 106.74629286449 & 0.313503995837923 \tabularnewline
0.13 & 106.849227931437 & 0.311007317395936 \tabularnewline
0.14 & 106.948199074518 & 0.313322196113697 \tabularnewline
0.15 & 107.044780393917 & 0.319992603077254 \tabularnewline
0.16 & 107.140206072695 & 0.329251119869115 \tabularnewline
0.17 & 107.235074167073 & 0.337759951340226 \tabularnewline
0.18 & 107.32919299999 & 0.342492330053511 \tabularnewline
0.19 & 107.421653482035 & 0.340811902635265 \tabularnewline
0.2 & 107.511095015209 & 0.331798997655307 \tabularnewline
0.21 & 107.59607221618 & 0.315992511795387 \tabularnewline
0.22 & 107.675418865159 & 0.295375842563464 \tabularnewline
0.23 & 107.748526649742 & 0.273107657070137 \tabularnewline
0.24 & 107.815492449021 & 0.252272480366499 \tabularnewline
0.25 & 107.877125560898 & 0.236026630369482 \tabularnewline
0.26 & 107.93483613245 & 0.227199365520286 \tabularnewline
0.27 & 107.990443814279 & 0.22730065040387 \tabularnewline
0.28 & 108.045951663026 & 0.236698864933956 \tabularnewline
0.29 & 108.103327643106 & 0.254723178004486 \tabularnewline
0.3 & 108.16432815687 & 0.279462082440017 \tabularnewline
0.31 & 108.230387103878 & 0.309427726360076 \tabularnewline
0.32 & 108.302581000218 & 0.342718128888902 \tabularnewline
0.33 & 108.381666295909 & 0.378370532437777 \tabularnewline
0.34 & 108.468170554531 & 0.415699071793188 \tabularnewline
0.35 & 108.56250713378 & 0.454550463610167 \tabularnewline
0.36 & 108.665076701672 & 0.495549373745487 \tabularnewline
0.37 & 108.776321166621 & 0.53947590413743 \tabularnewline
0.38 & 108.896707344359 & 0.58628793576698 \tabularnewline
0.39 & 109.026637014451 & 0.635720467085512 \tabularnewline
0.4 & 109.166302142437 & 0.685822763534302 \tabularnewline
0.41 & 109.315522494124 & 0.734126296119735 \tabularnewline
0.42 & 109.473611605122 & 0.777829408110785 \tabularnewline
0.43 & 109.639312717581 & 0.813571959937421 \tabularnewline
0.44 & 109.810829607929 & 0.838375446176396 \tabularnewline
0.45 & 109.985953073253 & 0.851085337172373 \tabularnewline
0.46 & 110.162259636457 & 0.851037186523735 \tabularnewline
0.47 & 110.337342155092 & 0.838923596757549 \tabularnewline
0.48 & 110.50902723033 & 0.816637516295751 \tabularnewline
0.49 & 110.675542140396 & 0.786763931107178 \tabularnewline
0.5 & 110.835610783561 & 0.75201991441116 \tabularnewline
0.51 & 110.988477493878 & 0.714852085952195 \tabularnewline
0.52 & 111.133873124276 & 0.677679659535178 \tabularnewline
0.53 & 111.271945250426 & 0.642029490606858 \tabularnewline
0.54 & 111.403173104025 & 0.609270325664107 \tabularnewline
0.55 & 111.528280696342 & 0.580346066512602 \tabularnewline
0.56 & 111.648153228099 & 0.556020196457285 \tabularnewline
0.57 & 111.763756643805 & 0.536353869276911 \tabularnewline
0.58 & 111.876060145688 & 0.52137759971517 \tabularnewline
0.59 & 111.985965624482 & 0.510540184899856 \tabularnewline
0.6 & 112.094252876823 & 0.503091219786382 \tabularnewline
0.61 & 112.20155117155 & 0.497979971587124 \tabularnewline
0.62 & 112.308343773562 & 0.494256516416729 \tabularnewline
0.63 & 112.415003003664 & 0.491512749293901 \tabularnewline
0.64 & 112.521842876403 & 0.48963393182001 \tabularnewline
0.65 & 112.629169375734 & 0.488591890981296 \tabularnewline
0.66 & 112.737309141054 & 0.489077654739151 \tabularnewline
0.67 & 112.846606725251 & 0.491160669286932 \tabularnewline
0.68 & 112.957395483024 & 0.494522814695795 \tabularnewline
0.69 & 113.069961101708 & 0.498817843029424 \tabularnewline
0.7 & 113.184522648129 & 0.503322468228428 \tabularnewline
0.71 & 113.301249293932 & 0.507683833934158 \tabularnewline
0.72 & 113.420312529838 & 0.511781475647304 \tabularnewline
0.73 & 113.541950746318 & 0.516218517089193 \tabularnewline
0.74 & 113.66650664661 & 0.521688818949254 \tabularnewline
0.75 & 113.794398653555 & 0.528860100267207 \tabularnewline
0.76 & 113.92600990238 & 0.537566653292895 \tabularnewline
0.77 & 114.061517389165 & 0.546503652731616 \tabularnewline
0.78 & 114.200724479249 & 0.553617941187707 \tabularnewline
0.79 & 114.34298278462 & 0.556493196429225 \tabularnewline
0.8 & 114.487279054207 & 0.55319102355399 \tabularnewline
0.81 & 114.632516657501 & 0.54350038330691 \tabularnewline
0.82 & 114.777953795426 & 0.529368522445879 \tabularnewline
0.83 & 114.923699387473 & 0.514619018625453 \tabularnewline
0.84 & 115.071143131831 & 0.504715970997497 \tabularnewline
0.85 & 115.223227665247 & 0.505183041627836 \tabularnewline
0.86 & 115.384551353017 & 0.520627785614838 \tabularnewline
0.87 & 115.561374879458 & 0.554465796346488 \tabularnewline
0.88 & 115.76160732 & 0.608689952369606 \tabularnewline
0.89 & 115.994671748357 & 0.685035412609269 \tabularnewline
0.9 & 116.270786645563 & 0.783169084070334 \tabularnewline
0.91 & 116.598866567286 & 0.89646089490536 \tabularnewline
0.92 & 116.982438209555 & 1.00519430249469 \tabularnewline
0.93 & 117.414164277615 & 1.07486141548563 \tabularnewline
0.94 & 117.871570589031 & 1.0654067269026 \tabularnewline
0.95 & 118.318123892484 & 0.95162000609111 \tabularnewline
0.96 & 118.713457225116 & 0.74369485117518 \tabularnewline
0.97 & 119.033528949174 & 0.496038720966994 \tabularnewline
0.98 & 119.291116896662 & 0.30552929392032 \tabularnewline
0.99 & 119.518762680265 & 0.297070984681563 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277263&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]102.83722842768[/C][C]1.60347553906917[/C][/ROW]
[ROW][C]0.02[/C][C]103.94596954371[/C][C]1.18747735197033[/C][/ROW]
[ROW][C]0.03[/C][C]104.78191951326[/C][C]0.817578706939666[/C][/ROW]
[ROW][C]0.04[/C][C]105.311737467121[/C][C]0.584493609339256[/C][/ROW]
[ROW][C]0.05[/C][C]105.653199694811[/C][C]0.478053543787012[/C][/ROW]
[ROW][C]0.06[/C][C]105.897900128152[/C][C]0.424298338623638[/C][/ROW]
[ROW][C]0.07[/C][C]106.091444927048[/C][C]0.384368639661419[/C][/ROW]
[ROW][C]0.08[/C][C]106.253766847116[/C][C]0.354770782895819[/C][/ROW]
[ROW][C]0.09[/C][C]106.394966313981[/C][C]0.336765100878023[/C][/ROW]
[ROW][C]0.1[/C][C]106.521508625576[/C][C]0.32642017765204[/C][/ROW]
[ROW][C]0.11[/C][C]106.637699726594[/C][C]0.319067569008171[/C][/ROW]
[ROW][C]0.12[/C][C]106.74629286449[/C][C]0.313503995837923[/C][/ROW]
[ROW][C]0.13[/C][C]106.849227931437[/C][C]0.311007317395936[/C][/ROW]
[ROW][C]0.14[/C][C]106.948199074518[/C][C]0.313322196113697[/C][/ROW]
[ROW][C]0.15[/C][C]107.044780393917[/C][C]0.319992603077254[/C][/ROW]
[ROW][C]0.16[/C][C]107.140206072695[/C][C]0.329251119869115[/C][/ROW]
[ROW][C]0.17[/C][C]107.235074167073[/C][C]0.337759951340226[/C][/ROW]
[ROW][C]0.18[/C][C]107.32919299999[/C][C]0.342492330053511[/C][/ROW]
[ROW][C]0.19[/C][C]107.421653482035[/C][C]0.340811902635265[/C][/ROW]
[ROW][C]0.2[/C][C]107.511095015209[/C][C]0.331798997655307[/C][/ROW]
[ROW][C]0.21[/C][C]107.59607221618[/C][C]0.315992511795387[/C][/ROW]
[ROW][C]0.22[/C][C]107.675418865159[/C][C]0.295375842563464[/C][/ROW]
[ROW][C]0.23[/C][C]107.748526649742[/C][C]0.273107657070137[/C][/ROW]
[ROW][C]0.24[/C][C]107.815492449021[/C][C]0.252272480366499[/C][/ROW]
[ROW][C]0.25[/C][C]107.877125560898[/C][C]0.236026630369482[/C][/ROW]
[ROW][C]0.26[/C][C]107.93483613245[/C][C]0.227199365520286[/C][/ROW]
[ROW][C]0.27[/C][C]107.990443814279[/C][C]0.22730065040387[/C][/ROW]
[ROW][C]0.28[/C][C]108.045951663026[/C][C]0.236698864933956[/C][/ROW]
[ROW][C]0.29[/C][C]108.103327643106[/C][C]0.254723178004486[/C][/ROW]
[ROW][C]0.3[/C][C]108.16432815687[/C][C]0.279462082440017[/C][/ROW]
[ROW][C]0.31[/C][C]108.230387103878[/C][C]0.309427726360076[/C][/ROW]
[ROW][C]0.32[/C][C]108.302581000218[/C][C]0.342718128888902[/C][/ROW]
[ROW][C]0.33[/C][C]108.381666295909[/C][C]0.378370532437777[/C][/ROW]
[ROW][C]0.34[/C][C]108.468170554531[/C][C]0.415699071793188[/C][/ROW]
[ROW][C]0.35[/C][C]108.56250713378[/C][C]0.454550463610167[/C][/ROW]
[ROW][C]0.36[/C][C]108.665076701672[/C][C]0.495549373745487[/C][/ROW]
[ROW][C]0.37[/C][C]108.776321166621[/C][C]0.53947590413743[/C][/ROW]
[ROW][C]0.38[/C][C]108.896707344359[/C][C]0.58628793576698[/C][/ROW]
[ROW][C]0.39[/C][C]109.026637014451[/C][C]0.635720467085512[/C][/ROW]
[ROW][C]0.4[/C][C]109.166302142437[/C][C]0.685822763534302[/C][/ROW]
[ROW][C]0.41[/C][C]109.315522494124[/C][C]0.734126296119735[/C][/ROW]
[ROW][C]0.42[/C][C]109.473611605122[/C][C]0.777829408110785[/C][/ROW]
[ROW][C]0.43[/C][C]109.639312717581[/C][C]0.813571959937421[/C][/ROW]
[ROW][C]0.44[/C][C]109.810829607929[/C][C]0.838375446176396[/C][/ROW]
[ROW][C]0.45[/C][C]109.985953073253[/C][C]0.851085337172373[/C][/ROW]
[ROW][C]0.46[/C][C]110.162259636457[/C][C]0.851037186523735[/C][/ROW]
[ROW][C]0.47[/C][C]110.337342155092[/C][C]0.838923596757549[/C][/ROW]
[ROW][C]0.48[/C][C]110.50902723033[/C][C]0.816637516295751[/C][/ROW]
[ROW][C]0.49[/C][C]110.675542140396[/C][C]0.786763931107178[/C][/ROW]
[ROW][C]0.5[/C][C]110.835610783561[/C][C]0.75201991441116[/C][/ROW]
[ROW][C]0.51[/C][C]110.988477493878[/C][C]0.714852085952195[/C][/ROW]
[ROW][C]0.52[/C][C]111.133873124276[/C][C]0.677679659535178[/C][/ROW]
[ROW][C]0.53[/C][C]111.271945250426[/C][C]0.642029490606858[/C][/ROW]
[ROW][C]0.54[/C][C]111.403173104025[/C][C]0.609270325664107[/C][/ROW]
[ROW][C]0.55[/C][C]111.528280696342[/C][C]0.580346066512602[/C][/ROW]
[ROW][C]0.56[/C][C]111.648153228099[/C][C]0.556020196457285[/C][/ROW]
[ROW][C]0.57[/C][C]111.763756643805[/C][C]0.536353869276911[/C][/ROW]
[ROW][C]0.58[/C][C]111.876060145688[/C][C]0.52137759971517[/C][/ROW]
[ROW][C]0.59[/C][C]111.985965624482[/C][C]0.510540184899856[/C][/ROW]
[ROW][C]0.6[/C][C]112.094252876823[/C][C]0.503091219786382[/C][/ROW]
[ROW][C]0.61[/C][C]112.20155117155[/C][C]0.497979971587124[/C][/ROW]
[ROW][C]0.62[/C][C]112.308343773562[/C][C]0.494256516416729[/C][/ROW]
[ROW][C]0.63[/C][C]112.415003003664[/C][C]0.491512749293901[/C][/ROW]
[ROW][C]0.64[/C][C]112.521842876403[/C][C]0.48963393182001[/C][/ROW]
[ROW][C]0.65[/C][C]112.629169375734[/C][C]0.488591890981296[/C][/ROW]
[ROW][C]0.66[/C][C]112.737309141054[/C][C]0.489077654739151[/C][/ROW]
[ROW][C]0.67[/C][C]112.846606725251[/C][C]0.491160669286932[/C][/ROW]
[ROW][C]0.68[/C][C]112.957395483024[/C][C]0.494522814695795[/C][/ROW]
[ROW][C]0.69[/C][C]113.069961101708[/C][C]0.498817843029424[/C][/ROW]
[ROW][C]0.7[/C][C]113.184522648129[/C][C]0.503322468228428[/C][/ROW]
[ROW][C]0.71[/C][C]113.301249293932[/C][C]0.507683833934158[/C][/ROW]
[ROW][C]0.72[/C][C]113.420312529838[/C][C]0.511781475647304[/C][/ROW]
[ROW][C]0.73[/C][C]113.541950746318[/C][C]0.516218517089193[/C][/ROW]
[ROW][C]0.74[/C][C]113.66650664661[/C][C]0.521688818949254[/C][/ROW]
[ROW][C]0.75[/C][C]113.794398653555[/C][C]0.528860100267207[/C][/ROW]
[ROW][C]0.76[/C][C]113.92600990238[/C][C]0.537566653292895[/C][/ROW]
[ROW][C]0.77[/C][C]114.061517389165[/C][C]0.546503652731616[/C][/ROW]
[ROW][C]0.78[/C][C]114.200724479249[/C][C]0.553617941187707[/C][/ROW]
[ROW][C]0.79[/C][C]114.34298278462[/C][C]0.556493196429225[/C][/ROW]
[ROW][C]0.8[/C][C]114.487279054207[/C][C]0.55319102355399[/C][/ROW]
[ROW][C]0.81[/C][C]114.632516657501[/C][C]0.54350038330691[/C][/ROW]
[ROW][C]0.82[/C][C]114.777953795426[/C][C]0.529368522445879[/C][/ROW]
[ROW][C]0.83[/C][C]114.923699387473[/C][C]0.514619018625453[/C][/ROW]
[ROW][C]0.84[/C][C]115.071143131831[/C][C]0.504715970997497[/C][/ROW]
[ROW][C]0.85[/C][C]115.223227665247[/C][C]0.505183041627836[/C][/ROW]
[ROW][C]0.86[/C][C]115.384551353017[/C][C]0.520627785614838[/C][/ROW]
[ROW][C]0.87[/C][C]115.561374879458[/C][C]0.554465796346488[/C][/ROW]
[ROW][C]0.88[/C][C]115.76160732[/C][C]0.608689952369606[/C][/ROW]
[ROW][C]0.89[/C][C]115.994671748357[/C][C]0.685035412609269[/C][/ROW]
[ROW][C]0.9[/C][C]116.270786645563[/C][C]0.783169084070334[/C][/ROW]
[ROW][C]0.91[/C][C]116.598866567286[/C][C]0.89646089490536[/C][/ROW]
[ROW][C]0.92[/C][C]116.982438209555[/C][C]1.00519430249469[/C][/ROW]
[ROW][C]0.93[/C][C]117.414164277615[/C][C]1.07486141548563[/C][/ROW]
[ROW][C]0.94[/C][C]117.871570589031[/C][C]1.0654067269026[/C][/ROW]
[ROW][C]0.95[/C][C]118.318123892484[/C][C]0.95162000609111[/C][/ROW]
[ROW][C]0.96[/C][C]118.713457225116[/C][C]0.74369485117518[/C][/ROW]
[ROW][C]0.97[/C][C]119.033528949174[/C][C]0.496038720966994[/C][/ROW]
[ROW][C]0.98[/C][C]119.291116896662[/C][C]0.30552929392032[/C][/ROW]
[ROW][C]0.99[/C][C]119.518762680265[/C][C]0.297070984681563[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277263&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277263&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
0.01102.837228427681.60347553906917
0.02103.945969543711.18747735197033
0.03104.781919513260.817578706939666
0.04105.3117374671210.584493609339256
0.05105.6531996948110.478053543787012
0.06105.8979001281520.424298338623638
0.07106.0914449270480.384368639661419
0.08106.2537668471160.354770782895819
0.09106.3949663139810.336765100878023
0.1106.5215086255760.32642017765204
0.11106.6376997265940.319067569008171
0.12106.746292864490.313503995837923
0.13106.8492279314370.311007317395936
0.14106.9481990745180.313322196113697
0.15107.0447803939170.319992603077254
0.16107.1402060726950.329251119869115
0.17107.2350741670730.337759951340226
0.18107.329192999990.342492330053511
0.19107.4216534820350.340811902635265
0.2107.5110950152090.331798997655307
0.21107.596072216180.315992511795387
0.22107.6754188651590.295375842563464
0.23107.7485266497420.273107657070137
0.24107.8154924490210.252272480366499
0.25107.8771255608980.236026630369482
0.26107.934836132450.227199365520286
0.27107.9904438142790.22730065040387
0.28108.0459516630260.236698864933956
0.29108.1033276431060.254723178004486
0.3108.164328156870.279462082440017
0.31108.2303871038780.309427726360076
0.32108.3025810002180.342718128888902
0.33108.3816662959090.378370532437777
0.34108.4681705545310.415699071793188
0.35108.562507133780.454550463610167
0.36108.6650767016720.495549373745487
0.37108.7763211666210.53947590413743
0.38108.8967073443590.58628793576698
0.39109.0266370144510.635720467085512
0.4109.1663021424370.685822763534302
0.41109.3155224941240.734126296119735
0.42109.4736116051220.777829408110785
0.43109.6393127175810.813571959937421
0.44109.8108296079290.838375446176396
0.45109.9859530732530.851085337172373
0.46110.1622596364570.851037186523735
0.47110.3373421550920.838923596757549
0.48110.509027230330.816637516295751
0.49110.6755421403960.786763931107178
0.5110.8356107835610.75201991441116
0.51110.9884774938780.714852085952195
0.52111.1338731242760.677679659535178
0.53111.2719452504260.642029490606858
0.54111.4031731040250.609270325664107
0.55111.5282806963420.580346066512602
0.56111.6481532280990.556020196457285
0.57111.7637566438050.536353869276911
0.58111.8760601456880.52137759971517
0.59111.9859656244820.510540184899856
0.6112.0942528768230.503091219786382
0.61112.201551171550.497979971587124
0.62112.3083437735620.494256516416729
0.63112.4150030036640.491512749293901
0.64112.5218428764030.48963393182001
0.65112.6291693757340.488591890981296
0.66112.7373091410540.489077654739151
0.67112.8466067252510.491160669286932
0.68112.9573954830240.494522814695795
0.69113.0699611017080.498817843029424
0.7113.1845226481290.503322468228428
0.71113.3012492939320.507683833934158
0.72113.4203125298380.511781475647304
0.73113.5419507463180.516218517089193
0.74113.666506646610.521688818949254
0.75113.7943986535550.528860100267207
0.76113.926009902380.537566653292895
0.77114.0615173891650.546503652731616
0.78114.2007244792490.553617941187707
0.79114.342982784620.556493196429225
0.8114.4872790542070.55319102355399
0.81114.6325166575010.54350038330691
0.82114.7779537954260.529368522445879
0.83114.9236993874730.514619018625453
0.84115.0711431318310.504715970997497
0.85115.2232276652470.505183041627836
0.86115.3845513530170.520627785614838
0.87115.5613748794580.554465796346488
0.88115.761607320.608689952369606
0.89115.9946717483570.685035412609269
0.9116.2707866455630.783169084070334
0.91116.5988665672860.89646089490536
0.92116.9824382095551.00519430249469
0.93117.4141642776151.07486141548563
0.94117.8715705890311.0654067269026
0.95118.3181238924840.95162000609111
0.96118.7134572251160.74369485117518
0.97119.0335289491740.496038720966994
0.98119.2911168966620.30552929392032
0.99119.5187626802650.297070984681563


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')