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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Nov 2010 13:21:11 +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/2010/Nov/19/t1290172816dizfxqapozyrgyn.htm/, Retrieved Fri, 03 May 2024 22:17:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97965, Retrieved Fri, 03 May 2024 22:17:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact122

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] [FLA] [2010-11-19 13:21:11] [5398da98f4f83c6a353e4d3806d4bcaa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97965&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97965&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97965&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.04747339462235250.0232176266434527
0.02-0.01899731070742960.00469582991838777
0.03-0.01496673094525880.000841403077772023
0.04-0.01431847769805960.000424928971483076
0.05-0.01378380590664950.000808991404669734
0.06-0.01309494692297490.000775654832027178
0.07-0.01260441055379920.000400596711392009
0.08-0.01239282989056950.000147470982234617
0.09-0.01229280373908510.000159429683270825
0.1-0.0121372347329920.000381668907516983
0.11-0.01180920345258640.000763294407968637
0.12-0.01124056891491430.00121745818921183
0.13-0.01043060174912040.00162888892304965
0.14-0.009418506753045020.00200234629672072
0.15-0.008206378919282270.00248095464986664
0.16-0.006751372956806570.00305680682313443
0.17-0.005083708237128730.00340441062014819
0.18-0.003399233471375890.00319320209093507
0.19-0.00197340224772540.00245315559751573
0.2-0.0009809600159805740.00153544286605003
0.21-0.0004144912862799510.000785572313039568
0.22-0.0001484141520457330.00033048570506405
0.23-4.50063838263673e-050.000115043233110421
0.24-1.15674729994959e-053.33312164055125e-05
0.25-2.52337860826283e-068.07921079013783e-06
0.26-4.67989846670548e-071.64571707331802e-06
0.27-7.39187697231266e-082.82793366361698e-07
0.28-9.96025000598412e-094.1127113134386e-08
0.29-1.14679020583218e-095.07634209418043e-09
0.3-1.13016270806196e-105.33088716130048e-10
0.31-9.57239756283538e-124.77331054358645e-11
0.32-7.2393893954882e-133.65248186591412e-12
0.33-7.48909740574323e-142.41096358303626e-13
0.34-3.25894355403383e-141.69341755350522e-14
0.35-2.81262483240915e-147.01712130085662e-15
0.36-2.51438230513033e-147.9601119215877e-15
0.37-2.18473284063851e-148.65207680419737e-15
0.38-1.84057000622271e-148.70044089906688e-15
0.39-1.50394107569007e-148.29944605364642e-15
0.4-1.18872396627043e-147.67190612390232e-15
0.41-9.0308549218499e-156.87954226358023e-15
0.42-6.54759491664098e-155.86084647016269e-15
0.43-4.52277993034503e-154.61042150245374e-15
0.44-3.01051322811142e-153.27780052377769e-15
0.45-1.98804298855279e-152.10222990560994e-15
0.46-1.34688870791235e-151.28740950082845e-15
0.47-9.20679699418008e-169.53261252774976e-16
0.48-5.21128809561757e-161.14990714349044e-15
0.493.68793921244494e-171.82017102720525e-15
0.59.16656652104253e-162.857992363698e-15
0.512.23661169566223e-154.10974093546502e-15
0.524.04470452687725e-155.36594815125175e-15
0.536.30373889248268e-156.40709909262253e-15
0.548.89563346287053e-157.0517675233744e-15
0.551.16410394263176e-147.18032594505044e-15
0.561.43300872659237e-146.75926195833353e-15
0.571.67678963875931e-145.88820630418462e-15
0.581.88346964281088e-144.83021649325749e-15
0.592.05401884522702e-143.96765883946182e-15
0.62.20366171562969e-143.67020424570339e-15
0.612.35657195703363e-144.07856632012817e-15
0.622.5348976523963e-144.94923305131878e-15
0.632.74697484161375e-145.77940338963296e-15
0.642.98155237801118e-146.07281545055952e-15
0.653.21246249166538e-145.59547206934392e-15
0.663.41187194834195e-144.49985647173249e-15
0.673.57113281297928e-143.51714295840463e-15
0.683.89156288947378e-141.45199267719458e-14
0.698.40324408705449e-142.5718678914919e-13
0.78.47479774209747e-134.2169349813163e-12
0.711.19646307970285e-115.87705579017127e-11
0.721.49318031705275e-106.92796959193499e-10
0.731.58511819269886e-096.88867654752044e-09
0.741.42516292984364e-085.76161222649719e-08
0.751.08311184402159e-074.04196975003199e-07
0.766.946768688107e-072.37139606750697e-06
0.773.75475419785445e-061.15994048901957e-05
0.781.70831119284577e-054.71454213759135e-05
0.796.53702990699312e-050.000158632574652926
0.80.0002103208036842730.000439972399776936
0.810.000569273872138590.0010009263879883
0.820.001299220728235480.00185817205772729
0.830.002513681668368240.00280401437973926
0.840.004166950710261290.00344326985033999
0.850.006026002000045560.00348905115116833
0.860.007799876378081030.00302834500109106
0.870.009303837798890160.00238548507713253
0.880.01048527926769760.00176415593269314
0.890.01134337943334110.00118619425048799
0.90.01189231702449540.000678522835723167
0.910.01218350169063460.000310776727366779
0.920.01231017056152780.000117970772743687
0.930.01239506878346470.000127937995456227
0.940.01261811106390420.000408500753739873
0.950.0131706847415070.000805442742145098
0.960.01391404462140820.000753085242200848
0.970.01447314491236480.000389159263030512
0.980.01702600167254860.00351343896564049
0.990.04459767902325880.0225361529390886

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.0474733946223525 & 0.0232176266434527 \tabularnewline
0.02 & -0.0189973107074296 & 0.00469582991838777 \tabularnewline
0.03 & -0.0149667309452588 & 0.000841403077772023 \tabularnewline
0.04 & -0.0143184776980596 & 0.000424928971483076 \tabularnewline
0.05 & -0.0137838059066495 & 0.000808991404669734 \tabularnewline
0.06 & -0.0130949469229749 & 0.000775654832027178 \tabularnewline
0.07 & -0.0126044105537992 & 0.000400596711392009 \tabularnewline
0.08 & -0.0123928298905695 & 0.000147470982234617 \tabularnewline
0.09 & -0.0122928037390851 & 0.000159429683270825 \tabularnewline
0.1 & -0.012137234732992 & 0.000381668907516983 \tabularnewline
0.11 & -0.0118092034525864 & 0.000763294407968637 \tabularnewline
0.12 & -0.0112405689149143 & 0.00121745818921183 \tabularnewline
0.13 & -0.0104306017491204 & 0.00162888892304965 \tabularnewline
0.14 & -0.00941850675304502 & 0.00200234629672072 \tabularnewline
0.15 & -0.00820637891928227 & 0.00248095464986664 \tabularnewline
0.16 & -0.00675137295680657 & 0.00305680682313443 \tabularnewline
0.17 & -0.00508370823712873 & 0.00340441062014819 \tabularnewline
0.18 & -0.00339923347137589 & 0.00319320209093507 \tabularnewline
0.19 & -0.0019734022477254 & 0.00245315559751573 \tabularnewline
0.2 & -0.000980960015980574 & 0.00153544286605003 \tabularnewline
0.21 & -0.000414491286279951 & 0.000785572313039568 \tabularnewline
0.22 & -0.000148414152045733 & 0.00033048570506405 \tabularnewline
0.23 & -4.50063838263673e-05 & 0.000115043233110421 \tabularnewline
0.24 & -1.15674729994959e-05 & 3.33312164055125e-05 \tabularnewline
0.25 & -2.52337860826283e-06 & 8.07921079013783e-06 \tabularnewline
0.26 & -4.67989846670548e-07 & 1.64571707331802e-06 \tabularnewline
0.27 & -7.39187697231266e-08 & 2.82793366361698e-07 \tabularnewline
0.28 & -9.96025000598412e-09 & 4.1127113134386e-08 \tabularnewline
0.29 & -1.14679020583218e-09 & 5.07634209418043e-09 \tabularnewline
0.3 & -1.13016270806196e-10 & 5.33088716130048e-10 \tabularnewline
0.31 & -9.57239756283538e-12 & 4.77331054358645e-11 \tabularnewline
0.32 & -7.2393893954882e-13 & 3.65248186591412e-12 \tabularnewline
0.33 & -7.48909740574323e-14 & 2.41096358303626e-13 \tabularnewline
0.34 & -3.25894355403383e-14 & 1.69341755350522e-14 \tabularnewline
0.35 & -2.81262483240915e-14 & 7.01712130085662e-15 \tabularnewline
0.36 & -2.51438230513033e-14 & 7.9601119215877e-15 \tabularnewline
0.37 & -2.18473284063851e-14 & 8.65207680419737e-15 \tabularnewline
0.38 & -1.84057000622271e-14 & 8.70044089906688e-15 \tabularnewline
0.39 & -1.50394107569007e-14 & 8.29944605364642e-15 \tabularnewline
0.4 & -1.18872396627043e-14 & 7.67190612390232e-15 \tabularnewline
0.41 & -9.0308549218499e-15 & 6.87954226358023e-15 \tabularnewline
0.42 & -6.54759491664098e-15 & 5.86084647016269e-15 \tabularnewline
0.43 & -4.52277993034503e-15 & 4.61042150245374e-15 \tabularnewline
0.44 & -3.01051322811142e-15 & 3.27780052377769e-15 \tabularnewline
0.45 & -1.98804298855279e-15 & 2.10222990560994e-15 \tabularnewline
0.46 & -1.34688870791235e-15 & 1.28740950082845e-15 \tabularnewline
0.47 & -9.20679699418008e-16 & 9.53261252774976e-16 \tabularnewline
0.48 & -5.21128809561757e-16 & 1.14990714349044e-15 \tabularnewline
0.49 & 3.68793921244494e-17 & 1.82017102720525e-15 \tabularnewline
0.5 & 9.16656652104253e-16 & 2.857992363698e-15 \tabularnewline
0.51 & 2.23661169566223e-15 & 4.10974093546502e-15 \tabularnewline
0.52 & 4.04470452687725e-15 & 5.36594815125175e-15 \tabularnewline
0.53 & 6.30373889248268e-15 & 6.40709909262253e-15 \tabularnewline
0.54 & 8.89563346287053e-15 & 7.0517675233744e-15 \tabularnewline
0.55 & 1.16410394263176e-14 & 7.18032594505044e-15 \tabularnewline
0.56 & 1.43300872659237e-14 & 6.75926195833353e-15 \tabularnewline
0.57 & 1.67678963875931e-14 & 5.88820630418462e-15 \tabularnewline
0.58 & 1.88346964281088e-14 & 4.83021649325749e-15 \tabularnewline
0.59 & 2.05401884522702e-14 & 3.96765883946182e-15 \tabularnewline
0.6 & 2.20366171562969e-14 & 3.67020424570339e-15 \tabularnewline
0.61 & 2.35657195703363e-14 & 4.07856632012817e-15 \tabularnewline
0.62 & 2.5348976523963e-14 & 4.94923305131878e-15 \tabularnewline
0.63 & 2.74697484161375e-14 & 5.77940338963296e-15 \tabularnewline
0.64 & 2.98155237801118e-14 & 6.07281545055952e-15 \tabularnewline
0.65 & 3.21246249166538e-14 & 5.59547206934392e-15 \tabularnewline
0.66 & 3.41187194834195e-14 & 4.49985647173249e-15 \tabularnewline
0.67 & 3.57113281297928e-14 & 3.51714295840463e-15 \tabularnewline
0.68 & 3.89156288947378e-14 & 1.45199267719458e-14 \tabularnewline
0.69 & 8.40324408705449e-14 & 2.5718678914919e-13 \tabularnewline
0.7 & 8.47479774209747e-13 & 4.2169349813163e-12 \tabularnewline
0.71 & 1.19646307970285e-11 & 5.87705579017127e-11 \tabularnewline
0.72 & 1.49318031705275e-10 & 6.92796959193499e-10 \tabularnewline
0.73 & 1.58511819269886e-09 & 6.88867654752044e-09 \tabularnewline
0.74 & 1.42516292984364e-08 & 5.76161222649719e-08 \tabularnewline
0.75 & 1.08311184402159e-07 & 4.04196975003199e-07 \tabularnewline
0.76 & 6.946768688107e-07 & 2.37139606750697e-06 \tabularnewline
0.77 & 3.75475419785445e-06 & 1.15994048901957e-05 \tabularnewline
0.78 & 1.70831119284577e-05 & 4.71454213759135e-05 \tabularnewline
0.79 & 6.53702990699312e-05 & 0.000158632574652926 \tabularnewline
0.8 & 0.000210320803684273 & 0.000439972399776936 \tabularnewline
0.81 & 0.00056927387213859 & 0.0010009263879883 \tabularnewline
0.82 & 0.00129922072823548 & 0.00185817205772729 \tabularnewline
0.83 & 0.00251368166836824 & 0.00280401437973926 \tabularnewline
0.84 & 0.00416695071026129 & 0.00344326985033999 \tabularnewline
0.85 & 0.00602600200004556 & 0.00348905115116833 \tabularnewline
0.86 & 0.00779987637808103 & 0.00302834500109106 \tabularnewline
0.87 & 0.00930383779889016 & 0.00238548507713253 \tabularnewline
0.88 & 0.0104852792676976 & 0.00176415593269314 \tabularnewline
0.89 & 0.0113433794333411 & 0.00118619425048799 \tabularnewline
0.9 & 0.0118923170244954 & 0.000678522835723167 \tabularnewline
0.91 & 0.0121835016906346 & 0.000310776727366779 \tabularnewline
0.92 & 0.0123101705615278 & 0.000117970772743687 \tabularnewline
0.93 & 0.0123950687834647 & 0.000127937995456227 \tabularnewline
0.94 & 0.0126181110639042 & 0.000408500753739873 \tabularnewline
0.95 & 0.013170684741507 & 0.000805442742145098 \tabularnewline
0.96 & 0.0139140446214082 & 0.000753085242200848 \tabularnewline
0.97 & 0.0144731449123648 & 0.000389159263030512 \tabularnewline
0.98 & 0.0170260016725486 & 0.00351343896564049 \tabularnewline
0.99 & 0.0445976790232588 & 0.0225361529390886 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97965&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]-0.0474733946223525[/C][C]0.0232176266434527[/C][/ROW]
[ROW][C]0.02[/C][C]-0.0189973107074296[/C][C]0.00469582991838777[/C][/ROW]
[ROW][C]0.03[/C][C]-0.0149667309452588[/C][C]0.000841403077772023[/C][/ROW]
[ROW][C]0.04[/C][C]-0.0143184776980596[/C][C]0.000424928971483076[/C][/ROW]
[ROW][C]0.05[/C][C]-0.0137838059066495[/C][C]0.000808991404669734[/C][/ROW]
[ROW][C]0.06[/C][C]-0.0130949469229749[/C][C]0.000775654832027178[/C][/ROW]
[ROW][C]0.07[/C][C]-0.0126044105537992[/C][C]0.000400596711392009[/C][/ROW]
[ROW][C]0.08[/C][C]-0.0123928298905695[/C][C]0.000147470982234617[/C][/ROW]
[ROW][C]0.09[/C][C]-0.0122928037390851[/C][C]0.000159429683270825[/C][/ROW]
[ROW][C]0.1[/C][C]-0.012137234732992[/C][C]0.000381668907516983[/C][/ROW]
[ROW][C]0.11[/C][C]-0.0118092034525864[/C][C]0.000763294407968637[/C][/ROW]
[ROW][C]0.12[/C][C]-0.0112405689149143[/C][C]0.00121745818921183[/C][/ROW]
[ROW][C]0.13[/C][C]-0.0104306017491204[/C][C]0.00162888892304965[/C][/ROW]
[ROW][C]0.14[/C][C]-0.00941850675304502[/C][C]0.00200234629672072[/C][/ROW]
[ROW][C]0.15[/C][C]-0.00820637891928227[/C][C]0.00248095464986664[/C][/ROW]
[ROW][C]0.16[/C][C]-0.00675137295680657[/C][C]0.00305680682313443[/C][/ROW]
[ROW][C]0.17[/C][C]-0.00508370823712873[/C][C]0.00340441062014819[/C][/ROW]
[ROW][C]0.18[/C][C]-0.00339923347137589[/C][C]0.00319320209093507[/C][/ROW]
[ROW][C]0.19[/C][C]-0.0019734022477254[/C][C]0.00245315559751573[/C][/ROW]
[ROW][C]0.2[/C][C]-0.000980960015980574[/C][C]0.00153544286605003[/C][/ROW]
[ROW][C]0.21[/C][C]-0.000414491286279951[/C][C]0.000785572313039568[/C][/ROW]
[ROW][C]0.22[/C][C]-0.000148414152045733[/C][C]0.00033048570506405[/C][/ROW]
[ROW][C]0.23[/C][C]-4.50063838263673e-05[/C][C]0.000115043233110421[/C][/ROW]
[ROW][C]0.24[/C][C]-1.15674729994959e-05[/C][C]3.33312164055125e-05[/C][/ROW]
[ROW][C]0.25[/C][C]-2.52337860826283e-06[/C][C]8.07921079013783e-06[/C][/ROW]
[ROW][C]0.26[/C][C]-4.67989846670548e-07[/C][C]1.64571707331802e-06[/C][/ROW]
[ROW][C]0.27[/C][C]-7.39187697231266e-08[/C][C]2.82793366361698e-07[/C][/ROW]
[ROW][C]0.28[/C][C]-9.96025000598412e-09[/C][C]4.1127113134386e-08[/C][/ROW]
[ROW][C]0.29[/C][C]-1.14679020583218e-09[/C][C]5.07634209418043e-09[/C][/ROW]
[ROW][C]0.3[/C][C]-1.13016270806196e-10[/C][C]5.33088716130048e-10[/C][/ROW]
[ROW][C]0.31[/C][C]-9.57239756283538e-12[/C][C]4.77331054358645e-11[/C][/ROW]
[ROW][C]0.32[/C][C]-7.2393893954882e-13[/C][C]3.65248186591412e-12[/C][/ROW]
[ROW][C]0.33[/C][C]-7.48909740574323e-14[/C][C]2.41096358303626e-13[/C][/ROW]
[ROW][C]0.34[/C][C]-3.25894355403383e-14[/C][C]1.69341755350522e-14[/C][/ROW]
[ROW][C]0.35[/C][C]-2.81262483240915e-14[/C][C]7.01712130085662e-15[/C][/ROW]
[ROW][C]0.36[/C][C]-2.51438230513033e-14[/C][C]7.9601119215877e-15[/C][/ROW]
[ROW][C]0.37[/C][C]-2.18473284063851e-14[/C][C]8.65207680419737e-15[/C][/ROW]
[ROW][C]0.38[/C][C]-1.84057000622271e-14[/C][C]8.70044089906688e-15[/C][/ROW]
[ROW][C]0.39[/C][C]-1.50394107569007e-14[/C][C]8.29944605364642e-15[/C][/ROW]
[ROW][C]0.4[/C][C]-1.18872396627043e-14[/C][C]7.67190612390232e-15[/C][/ROW]
[ROW][C]0.41[/C][C]-9.0308549218499e-15[/C][C]6.87954226358023e-15[/C][/ROW]
[ROW][C]0.42[/C][C]-6.54759491664098e-15[/C][C]5.86084647016269e-15[/C][/ROW]
[ROW][C]0.43[/C][C]-4.52277993034503e-15[/C][C]4.61042150245374e-15[/C][/ROW]
[ROW][C]0.44[/C][C]-3.01051322811142e-15[/C][C]3.27780052377769e-15[/C][/ROW]
[ROW][C]0.45[/C][C]-1.98804298855279e-15[/C][C]2.10222990560994e-15[/C][/ROW]
[ROW][C]0.46[/C][C]-1.34688870791235e-15[/C][C]1.28740950082845e-15[/C][/ROW]
[ROW][C]0.47[/C][C]-9.20679699418008e-16[/C][C]9.53261252774976e-16[/C][/ROW]
[ROW][C]0.48[/C][C]-5.21128809561757e-16[/C][C]1.14990714349044e-15[/C][/ROW]
[ROW][C]0.49[/C][C]3.68793921244494e-17[/C][C]1.82017102720525e-15[/C][/ROW]
[ROW][C]0.5[/C][C]9.16656652104253e-16[/C][C]2.857992363698e-15[/C][/ROW]
[ROW][C]0.51[/C][C]2.23661169566223e-15[/C][C]4.10974093546502e-15[/C][/ROW]
[ROW][C]0.52[/C][C]4.04470452687725e-15[/C][C]5.36594815125175e-15[/C][/ROW]
[ROW][C]0.53[/C][C]6.30373889248268e-15[/C][C]6.40709909262253e-15[/C][/ROW]
[ROW][C]0.54[/C][C]8.89563346287053e-15[/C][C]7.0517675233744e-15[/C][/ROW]
[ROW][C]0.55[/C][C]1.16410394263176e-14[/C][C]7.18032594505044e-15[/C][/ROW]
[ROW][C]0.56[/C][C]1.43300872659237e-14[/C][C]6.75926195833353e-15[/C][/ROW]
[ROW][C]0.57[/C][C]1.67678963875931e-14[/C][C]5.88820630418462e-15[/C][/ROW]
[ROW][C]0.58[/C][C]1.88346964281088e-14[/C][C]4.83021649325749e-15[/C][/ROW]
[ROW][C]0.59[/C][C]2.05401884522702e-14[/C][C]3.96765883946182e-15[/C][/ROW]
[ROW][C]0.6[/C][C]2.20366171562969e-14[/C][C]3.67020424570339e-15[/C][/ROW]
[ROW][C]0.61[/C][C]2.35657195703363e-14[/C][C]4.07856632012817e-15[/C][/ROW]
[ROW][C]0.62[/C][C]2.5348976523963e-14[/C][C]4.94923305131878e-15[/C][/ROW]
[ROW][C]0.63[/C][C]2.74697484161375e-14[/C][C]5.77940338963296e-15[/C][/ROW]
[ROW][C]0.64[/C][C]2.98155237801118e-14[/C][C]6.07281545055952e-15[/C][/ROW]
[ROW][C]0.65[/C][C]3.21246249166538e-14[/C][C]5.59547206934392e-15[/C][/ROW]
[ROW][C]0.66[/C][C]3.41187194834195e-14[/C][C]4.49985647173249e-15[/C][/ROW]
[ROW][C]0.67[/C][C]3.57113281297928e-14[/C][C]3.51714295840463e-15[/C][/ROW]
[ROW][C]0.68[/C][C]3.89156288947378e-14[/C][C]1.45199267719458e-14[/C][/ROW]
[ROW][C]0.69[/C][C]8.40324408705449e-14[/C][C]2.5718678914919e-13[/C][/ROW]
[ROW][C]0.7[/C][C]8.47479774209747e-13[/C][C]4.2169349813163e-12[/C][/ROW]
[ROW][C]0.71[/C][C]1.19646307970285e-11[/C][C]5.87705579017127e-11[/C][/ROW]
[ROW][C]0.72[/C][C]1.49318031705275e-10[/C][C]6.92796959193499e-10[/C][/ROW]
[ROW][C]0.73[/C][C]1.58511819269886e-09[/C][C]6.88867654752044e-09[/C][/ROW]
[ROW][C]0.74[/C][C]1.42516292984364e-08[/C][C]5.76161222649719e-08[/C][/ROW]
[ROW][C]0.75[/C][C]1.08311184402159e-07[/C][C]4.04196975003199e-07[/C][/ROW]
[ROW][C]0.76[/C][C]6.946768688107e-07[/C][C]2.37139606750697e-06[/C][/ROW]
[ROW][C]0.77[/C][C]3.75475419785445e-06[/C][C]1.15994048901957e-05[/C][/ROW]
[ROW][C]0.78[/C][C]1.70831119284577e-05[/C][C]4.71454213759135e-05[/C][/ROW]
[ROW][C]0.79[/C][C]6.53702990699312e-05[/C][C]0.000158632574652926[/C][/ROW]
[ROW][C]0.8[/C][C]0.000210320803684273[/C][C]0.000439972399776936[/C][/ROW]
[ROW][C]0.81[/C][C]0.00056927387213859[/C][C]0.0010009263879883[/C][/ROW]
[ROW][C]0.82[/C][C]0.00129922072823548[/C][C]0.00185817205772729[/C][/ROW]
[ROW][C]0.83[/C][C]0.00251368166836824[/C][C]0.00280401437973926[/C][/ROW]
[ROW][C]0.84[/C][C]0.00416695071026129[/C][C]0.00344326985033999[/C][/ROW]
[ROW][C]0.85[/C][C]0.00602600200004556[/C][C]0.00348905115116833[/C][/ROW]
[ROW][C]0.86[/C][C]0.00779987637808103[/C][C]0.00302834500109106[/C][/ROW]
[ROW][C]0.87[/C][C]0.00930383779889016[/C][C]0.00238548507713253[/C][/ROW]
[ROW][C]0.88[/C][C]0.0104852792676976[/C][C]0.00176415593269314[/C][/ROW]
[ROW][C]0.89[/C][C]0.0113433794333411[/C][C]0.00118619425048799[/C][/ROW]
[ROW][C]0.9[/C][C]0.0118923170244954[/C][C]0.000678522835723167[/C][/ROW]
[ROW][C]0.91[/C][C]0.0121835016906346[/C][C]0.000310776727366779[/C][/ROW]
[ROW][C]0.92[/C][C]0.0123101705615278[/C][C]0.000117970772743687[/C][/ROW]
[ROW][C]0.93[/C][C]0.0123950687834647[/C][C]0.000127937995456227[/C][/ROW]
[ROW][C]0.94[/C][C]0.0126181110639042[/C][C]0.000408500753739873[/C][/ROW]
[ROW][C]0.95[/C][C]0.013170684741507[/C][C]0.000805442742145098[/C][/ROW]
[ROW][C]0.96[/C][C]0.0139140446214082[/C][C]0.000753085242200848[/C][/ROW]
[ROW][C]0.97[/C][C]0.0144731449123648[/C][C]0.000389159263030512[/C][/ROW]
[ROW][C]0.98[/C][C]0.0170260016725486[/C][C]0.00351343896564049[/C][/ROW]
[ROW][C]0.99[/C][C]0.0445976790232588[/C][C]0.0225361529390886[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97965&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97965&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
0.01-0.04747339462235250.0232176266434527
0.02-0.01899731070742960.00469582991838777
0.03-0.01496673094525880.000841403077772023
0.04-0.01431847769805960.000424928971483076
0.05-0.01378380590664950.000808991404669734
0.06-0.01309494692297490.000775654832027178
0.07-0.01260441055379920.000400596711392009
0.08-0.01239282989056950.000147470982234617
0.09-0.01229280373908510.000159429683270825
0.1-0.0121372347329920.000381668907516983
0.11-0.01180920345258640.000763294407968637
0.12-0.01124056891491430.00121745818921183
0.13-0.01043060174912040.00162888892304965
0.14-0.009418506753045020.00200234629672072
0.15-0.008206378919282270.00248095464986664
0.16-0.006751372956806570.00305680682313443
0.17-0.005083708237128730.00340441062014819
0.18-0.003399233471375890.00319320209093507
0.19-0.00197340224772540.00245315559751573
0.2-0.0009809600159805740.00153544286605003
0.21-0.0004144912862799510.000785572313039568
0.22-0.0001484141520457330.00033048570506405
0.23-4.50063838263673e-050.000115043233110421
0.24-1.15674729994959e-053.33312164055125e-05
0.25-2.52337860826283e-068.07921079013783e-06
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0.990.04459767902325880.0225361529390886


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')