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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, 01 Mar 2011 10:45:49 +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/2011/Mar/01/t12989764195hfj8m9vfnsoqrg.htm/, Retrieved Sun, 12 May 2024 09:02:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=119449, Retrieved Sun, 12 May 2024 09:02:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact144

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] [] [2011-03-01 10:45:49] [60509181c3aa3f51e201bae3996eda3b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31.900
31.815
31.075
31.070
31.300
31.410
30.310
31.440
31.355
31.380
31.975
31.905
32.565
32.780
32.850
32.910
32.910
33.755
34.130
34.330
34.120
33.600
33.715
33.535
33.745
34.295
33.940
34.245
34.395
33.640
33.890
33.905
33.930
33.975
33.880
33.800
33.165
33.660
33.545
33.590
33.810
33.720
33.660
33.915
34.265
34.175
33.735
33.855
34.210
33.950
33.130
32.195
33.160
33.255
32.260
31.795
31.875
31.985
31.835
32.200
32.275
32.515
32.700
32.680
32.135
31.460
30.755
31.090
31.270
31.110
30.835
31.025
30.800
30.790

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'Gwilym Jenkins' @ www.wessa.org

\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 & 'Gwilym Jenkins' @ www.wessa.org \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119449&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]'Gwilym Jenkins' @ www.wessa.org[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119449&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119449&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'Gwilym Jenkins' @ www.wessa.org






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0130.42863359966320.335967421631021
0.0230.57898754486420.211177378750315
0.0330.699428307230.127356708288975
0.0430.78091780293040.10010362879618
0.0530.83892346736120.106771890702843
0.0630.88784416202840.119450970237269
0.0730.9342926499040.1267313811189
0.0830.97957246237790.127549587245051
0.0931.02317664095120.125359409970626
0.131.06474208845850.124236697012309
0.1131.10456756755380.126461615299964
0.1231.14339580940560.131939794566427
0.1331.18203071064380.139280764855537
0.1431.22108678960060.147204540062159
0.1531.26093548708340.155172302259616
0.1631.30177964758690.163432796804843
0.1731.34375309271990.172455015681493
0.1831.38697259253130.182482058385921
0.1931.43152236781570.193180434791606
0.231.47739452398580.203643825693312
0.2131.52442784252130.212580147507632
0.2231.57228248560190.218916955111194
0.2331.62046848781480.22189858911437
0.2431.66842284660170.2214253922338
0.2531.71561277500540.218053067693708
0.2631.76163594088670.212920316902364
0.2731.8062922912340.207319229954612
0.2831.84961293623150.202706756580281
0.2931.89184467937490.200240380072973
0.331.93339971089880.200580703223909
0.3131.97478604772780.20390477718503
0.3232.01653496406380.210059065351853
0.3332.05913814197150.218452659627191
0.3432.10300173391180.228526530002928
0.3532.14841912181510.239533159060262
0.3632.19556035007850.250929091908861
0.3732.24447450876960.262076438415803
0.3832.29510139833080.272384866769256
0.3932.34728977641420.28150181310673
0.432.4008204747810.289104293027465
0.4132.45543307578740.294901491026644
0.4232.51085450356240.299112241183853
0.4332.56682707765710.301696326368019
0.4432.62313278905250.303086842227032
0.4532.67961027748090.303724101459709
0.4632.73616150713060.303997129114323
0.4732.79274646345110.304275788790389
0.4832.84936607658150.30481605715189
0.4932.90603561250070.305589545531917
0.532.96275253373040.306400905307548
0.5133.01946397348720.306872649085279
0.5233.07603928757010.306489602931345
0.5333.1322525937670.304410713106884
0.5433.18777885720370.300317855379106
0.5533.24220511768020.293586549968292
0.5633.29505615751910.283873144298805
0.5733.34583162333230.271188111344139
0.5833.39404972715570.255715604151128
0.5933.43929152159080.237896584495006
0.633.48123962072780.218488524479458
0.6133.5197061832550.198286224532812
0.6233.55464680986170.178092179143472
0.6333.58615934294310.158760844615817
0.6433.6144688810210.140964357850405
0.6533.63990214229510.125300863105802
0.6633.66285530365440.111997382192568
0.6733.68375952981520.10122107537252
0.6833.70304777745720.0929151646431403
0.6933.72112547141360.086791538301584
0.733.73834669808860.0825372845301433
0.7133.75499692942960.0796814985752056
0.7233.77128306106030.0777586867034183
0.7333.78733159176340.0762950840068799
0.7433.80319582016160.0748610633609371
0.7533.81887269587490.0731586566350551
0.7633.83432922678420.0710857585276354
0.7733.84953703935430.0686383482487884
0.7833.86451187899890.066054723706317
0.7933.87935270012110.0637810139361811
0.833.89427284462280.0623540854741372
0.8133.90961419211990.0625147899783988
0.8233.92583498394290.0647876107136498
0.8333.94346447620840.0694638395364003
0.8433.96302372437490.0762533776098778
0.8533.98492166251180.0843995764781686
0.8634.00934717837040.0925712052039437
0.8734.03618668713030.099335982813375
0.8834.06499726701210.103308043339283
0.8934.09505419234020.103565570088568
0.934.12547053527040.0998968782935225
0.9134.15536377011180.0928093958792866
0.9234.18403155039560.0833631549835565
0.9334.21110422141460.0729501926973929
0.9434.23666467929370.062953614371268
0.9534.26135234398460.0546156517049954
0.9634.28644201202360.0489470408244515
0.9734.31365870807760.0468216187713252
0.9834.34393437557480.0493074833488889
0.9934.37424659043070.0565938123151681

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 30.4286335996632 & 0.335967421631021 \tabularnewline
0.02 & 30.5789875448642 & 0.211177378750315 \tabularnewline
0.03 & 30.69942830723 & 0.127356708288975 \tabularnewline
0.04 & 30.7809178029304 & 0.10010362879618 \tabularnewline
0.05 & 30.8389234673612 & 0.106771890702843 \tabularnewline
0.06 & 30.8878441620284 & 0.119450970237269 \tabularnewline
0.07 & 30.934292649904 & 0.1267313811189 \tabularnewline
0.08 & 30.9795724623779 & 0.127549587245051 \tabularnewline
0.09 & 31.0231766409512 & 0.125359409970626 \tabularnewline
0.1 & 31.0647420884585 & 0.124236697012309 \tabularnewline
0.11 & 31.1045675675538 & 0.126461615299964 \tabularnewline
0.12 & 31.1433958094056 & 0.131939794566427 \tabularnewline
0.13 & 31.1820307106438 & 0.139280764855537 \tabularnewline
0.14 & 31.2210867896006 & 0.147204540062159 \tabularnewline
0.15 & 31.2609354870834 & 0.155172302259616 \tabularnewline
0.16 & 31.3017796475869 & 0.163432796804843 \tabularnewline
0.17 & 31.3437530927199 & 0.172455015681493 \tabularnewline
0.18 & 31.3869725925313 & 0.182482058385921 \tabularnewline
0.19 & 31.4315223678157 & 0.193180434791606 \tabularnewline
0.2 & 31.4773945239858 & 0.203643825693312 \tabularnewline
0.21 & 31.5244278425213 & 0.212580147507632 \tabularnewline
0.22 & 31.5722824856019 & 0.218916955111194 \tabularnewline
0.23 & 31.6204684878148 & 0.22189858911437 \tabularnewline
0.24 & 31.6684228466017 & 0.2214253922338 \tabularnewline
0.25 & 31.7156127750054 & 0.218053067693708 \tabularnewline
0.26 & 31.7616359408867 & 0.212920316902364 \tabularnewline
0.27 & 31.806292291234 & 0.207319229954612 \tabularnewline
0.28 & 31.8496129362315 & 0.202706756580281 \tabularnewline
0.29 & 31.8918446793749 & 0.200240380072973 \tabularnewline
0.3 & 31.9333997108988 & 0.200580703223909 \tabularnewline
0.31 & 31.9747860477278 & 0.20390477718503 \tabularnewline
0.32 & 32.0165349640638 & 0.210059065351853 \tabularnewline
0.33 & 32.0591381419715 & 0.218452659627191 \tabularnewline
0.34 & 32.1030017339118 & 0.228526530002928 \tabularnewline
0.35 & 32.1484191218151 & 0.239533159060262 \tabularnewline
0.36 & 32.1955603500785 & 0.250929091908861 \tabularnewline
0.37 & 32.2444745087696 & 0.262076438415803 \tabularnewline
0.38 & 32.2951013983308 & 0.272384866769256 \tabularnewline
0.39 & 32.3472897764142 & 0.28150181310673 \tabularnewline
0.4 & 32.400820474781 & 0.289104293027465 \tabularnewline
0.41 & 32.4554330757874 & 0.294901491026644 \tabularnewline
0.42 & 32.5108545035624 & 0.299112241183853 \tabularnewline
0.43 & 32.5668270776571 & 0.301696326368019 \tabularnewline
0.44 & 32.6231327890525 & 0.303086842227032 \tabularnewline
0.45 & 32.6796102774809 & 0.303724101459709 \tabularnewline
0.46 & 32.7361615071306 & 0.303997129114323 \tabularnewline
0.47 & 32.7927464634511 & 0.304275788790389 \tabularnewline
0.48 & 32.8493660765815 & 0.30481605715189 \tabularnewline
0.49 & 32.9060356125007 & 0.305589545531917 \tabularnewline
0.5 & 32.9627525337304 & 0.306400905307548 \tabularnewline
0.51 & 33.0194639734872 & 0.306872649085279 \tabularnewline
0.52 & 33.0760392875701 & 0.306489602931345 \tabularnewline
0.53 & 33.132252593767 & 0.304410713106884 \tabularnewline
0.54 & 33.1877788572037 & 0.300317855379106 \tabularnewline
0.55 & 33.2422051176802 & 0.293586549968292 \tabularnewline
0.56 & 33.2950561575191 & 0.283873144298805 \tabularnewline
0.57 & 33.3458316233323 & 0.271188111344139 \tabularnewline
0.58 & 33.3940497271557 & 0.255715604151128 \tabularnewline
0.59 & 33.4392915215908 & 0.237896584495006 \tabularnewline
0.6 & 33.4812396207278 & 0.218488524479458 \tabularnewline
0.61 & 33.519706183255 & 0.198286224532812 \tabularnewline
0.62 & 33.5546468098617 & 0.178092179143472 \tabularnewline
0.63 & 33.5861593429431 & 0.158760844615817 \tabularnewline
0.64 & 33.614468881021 & 0.140964357850405 \tabularnewline
0.65 & 33.6399021422951 & 0.125300863105802 \tabularnewline
0.66 & 33.6628553036544 & 0.111997382192568 \tabularnewline
0.67 & 33.6837595298152 & 0.10122107537252 \tabularnewline
0.68 & 33.7030477774572 & 0.0929151646431403 \tabularnewline
0.69 & 33.7211254714136 & 0.086791538301584 \tabularnewline
0.7 & 33.7383466980886 & 0.0825372845301433 \tabularnewline
0.71 & 33.7549969294296 & 0.0796814985752056 \tabularnewline
0.72 & 33.7712830610603 & 0.0777586867034183 \tabularnewline
0.73 & 33.7873315917634 & 0.0762950840068799 \tabularnewline
0.74 & 33.8031958201616 & 0.0748610633609371 \tabularnewline
0.75 & 33.8188726958749 & 0.0731586566350551 \tabularnewline
0.76 & 33.8343292267842 & 0.0710857585276354 \tabularnewline
0.77 & 33.8495370393543 & 0.0686383482487884 \tabularnewline
0.78 & 33.8645118789989 & 0.066054723706317 \tabularnewline
0.79 & 33.8793527001211 & 0.0637810139361811 \tabularnewline
0.8 & 33.8942728446228 & 0.0623540854741372 \tabularnewline
0.81 & 33.9096141921199 & 0.0625147899783988 \tabularnewline
0.82 & 33.9258349839429 & 0.0647876107136498 \tabularnewline
0.83 & 33.9434644762084 & 0.0694638395364003 \tabularnewline
0.84 & 33.9630237243749 & 0.0762533776098778 \tabularnewline
0.85 & 33.9849216625118 & 0.0843995764781686 \tabularnewline
0.86 & 34.0093471783704 & 0.0925712052039437 \tabularnewline
0.87 & 34.0361866871303 & 0.099335982813375 \tabularnewline
0.88 & 34.0649972670121 & 0.103308043339283 \tabularnewline
0.89 & 34.0950541923402 & 0.103565570088568 \tabularnewline
0.9 & 34.1254705352704 & 0.0998968782935225 \tabularnewline
0.91 & 34.1553637701118 & 0.0928093958792866 \tabularnewline
0.92 & 34.1840315503956 & 0.0833631549835565 \tabularnewline
0.93 & 34.2111042214146 & 0.0729501926973929 \tabularnewline
0.94 & 34.2366646792937 & 0.062953614371268 \tabularnewline
0.95 & 34.2613523439846 & 0.0546156517049954 \tabularnewline
0.96 & 34.2864420120236 & 0.0489470408244515 \tabularnewline
0.97 & 34.3136587080776 & 0.0468216187713252 \tabularnewline
0.98 & 34.3439343755748 & 0.0493074833488889 \tabularnewline
0.99 & 34.3742465904307 & 0.0565938123151681 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=119449&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]30.4286335996632[/C][C]0.335967421631021[/C][/ROW]
[ROW][C]0.02[/C][C]30.5789875448642[/C][C]0.211177378750315[/C][/ROW]
[ROW][C]0.03[/C][C]30.69942830723[/C][C]0.127356708288975[/C][/ROW]
[ROW][C]0.04[/C][C]30.7809178029304[/C][C]0.10010362879618[/C][/ROW]
[ROW][C]0.05[/C][C]30.8389234673612[/C][C]0.106771890702843[/C][/ROW]
[ROW][C]0.06[/C][C]30.8878441620284[/C][C]0.119450970237269[/C][/ROW]
[ROW][C]0.07[/C][C]30.934292649904[/C][C]0.1267313811189[/C][/ROW]
[ROW][C]0.08[/C][C]30.9795724623779[/C][C]0.127549587245051[/C][/ROW]
[ROW][C]0.09[/C][C]31.0231766409512[/C][C]0.125359409970626[/C][/ROW]
[ROW][C]0.1[/C][C]31.0647420884585[/C][C]0.124236697012309[/C][/ROW]
[ROW][C]0.11[/C][C]31.1045675675538[/C][C]0.126461615299964[/C][/ROW]
[ROW][C]0.12[/C][C]31.1433958094056[/C][C]0.131939794566427[/C][/ROW]
[ROW][C]0.13[/C][C]31.1820307106438[/C][C]0.139280764855537[/C][/ROW]
[ROW][C]0.14[/C][C]31.2210867896006[/C][C]0.147204540062159[/C][/ROW]
[ROW][C]0.15[/C][C]31.2609354870834[/C][C]0.155172302259616[/C][/ROW]
[ROW][C]0.16[/C][C]31.3017796475869[/C][C]0.163432796804843[/C][/ROW]
[ROW][C]0.17[/C][C]31.3437530927199[/C][C]0.172455015681493[/C][/ROW]
[ROW][C]0.18[/C][C]31.3869725925313[/C][C]0.182482058385921[/C][/ROW]
[ROW][C]0.19[/C][C]31.4315223678157[/C][C]0.193180434791606[/C][/ROW]
[ROW][C]0.2[/C][C]31.4773945239858[/C][C]0.203643825693312[/C][/ROW]
[ROW][C]0.21[/C][C]31.5244278425213[/C][C]0.212580147507632[/C][/ROW]
[ROW][C]0.22[/C][C]31.5722824856019[/C][C]0.218916955111194[/C][/ROW]
[ROW][C]0.23[/C][C]31.6204684878148[/C][C]0.22189858911437[/C][/ROW]
[ROW][C]0.24[/C][C]31.6684228466017[/C][C]0.2214253922338[/C][/ROW]
[ROW][C]0.25[/C][C]31.7156127750054[/C][C]0.218053067693708[/C][/ROW]
[ROW][C]0.26[/C][C]31.7616359408867[/C][C]0.212920316902364[/C][/ROW]
[ROW][C]0.27[/C][C]31.806292291234[/C][C]0.207319229954612[/C][/ROW]
[ROW][C]0.28[/C][C]31.8496129362315[/C][C]0.202706756580281[/C][/ROW]
[ROW][C]0.29[/C][C]31.8918446793749[/C][C]0.200240380072973[/C][/ROW]
[ROW][C]0.3[/C][C]31.9333997108988[/C][C]0.200580703223909[/C][/ROW]
[ROW][C]0.31[/C][C]31.9747860477278[/C][C]0.20390477718503[/C][/ROW]
[ROW][C]0.32[/C][C]32.0165349640638[/C][C]0.210059065351853[/C][/ROW]
[ROW][C]0.33[/C][C]32.0591381419715[/C][C]0.218452659627191[/C][/ROW]
[ROW][C]0.34[/C][C]32.1030017339118[/C][C]0.228526530002928[/C][/ROW]
[ROW][C]0.35[/C][C]32.1484191218151[/C][C]0.239533159060262[/C][/ROW]
[ROW][C]0.36[/C][C]32.1955603500785[/C][C]0.250929091908861[/C][/ROW]
[ROW][C]0.37[/C][C]32.2444745087696[/C][C]0.262076438415803[/C][/ROW]
[ROW][C]0.38[/C][C]32.2951013983308[/C][C]0.272384866769256[/C][/ROW]
[ROW][C]0.39[/C][C]32.3472897764142[/C][C]0.28150181310673[/C][/ROW]
[ROW][C]0.4[/C][C]32.400820474781[/C][C]0.289104293027465[/C][/ROW]
[ROW][C]0.41[/C][C]32.4554330757874[/C][C]0.294901491026644[/C][/ROW]
[ROW][C]0.42[/C][C]32.5108545035624[/C][C]0.299112241183853[/C][/ROW]
[ROW][C]0.43[/C][C]32.5668270776571[/C][C]0.301696326368019[/C][/ROW]
[ROW][C]0.44[/C][C]32.6231327890525[/C][C]0.303086842227032[/C][/ROW]
[ROW][C]0.45[/C][C]32.6796102774809[/C][C]0.303724101459709[/C][/ROW]
[ROW][C]0.46[/C][C]32.7361615071306[/C][C]0.303997129114323[/C][/ROW]
[ROW][C]0.47[/C][C]32.7927464634511[/C][C]0.304275788790389[/C][/ROW]
[ROW][C]0.48[/C][C]32.8493660765815[/C][C]0.30481605715189[/C][/ROW]
[ROW][C]0.49[/C][C]32.9060356125007[/C][C]0.305589545531917[/C][/ROW]
[ROW][C]0.5[/C][C]32.9627525337304[/C][C]0.306400905307548[/C][/ROW]
[ROW][C]0.51[/C][C]33.0194639734872[/C][C]0.306872649085279[/C][/ROW]
[ROW][C]0.52[/C][C]33.0760392875701[/C][C]0.306489602931345[/C][/ROW]
[ROW][C]0.53[/C][C]33.132252593767[/C][C]0.304410713106884[/C][/ROW]
[ROW][C]0.54[/C][C]33.1877788572037[/C][C]0.300317855379106[/C][/ROW]
[ROW][C]0.55[/C][C]33.2422051176802[/C][C]0.293586549968292[/C][/ROW]
[ROW][C]0.56[/C][C]33.2950561575191[/C][C]0.283873144298805[/C][/ROW]
[ROW][C]0.57[/C][C]33.3458316233323[/C][C]0.271188111344139[/C][/ROW]
[ROW][C]0.58[/C][C]33.3940497271557[/C][C]0.255715604151128[/C][/ROW]
[ROW][C]0.59[/C][C]33.4392915215908[/C][C]0.237896584495006[/C][/ROW]
[ROW][C]0.6[/C][C]33.4812396207278[/C][C]0.218488524479458[/C][/ROW]
[ROW][C]0.61[/C][C]33.519706183255[/C][C]0.198286224532812[/C][/ROW]
[ROW][C]0.62[/C][C]33.5546468098617[/C][C]0.178092179143472[/C][/ROW]
[ROW][C]0.63[/C][C]33.5861593429431[/C][C]0.158760844615817[/C][/ROW]
[ROW][C]0.64[/C][C]33.614468881021[/C][C]0.140964357850405[/C][/ROW]
[ROW][C]0.65[/C][C]33.6399021422951[/C][C]0.125300863105802[/C][/ROW]
[ROW][C]0.66[/C][C]33.6628553036544[/C][C]0.111997382192568[/C][/ROW]
[ROW][C]0.67[/C][C]33.6837595298152[/C][C]0.10122107537252[/C][/ROW]
[ROW][C]0.68[/C][C]33.7030477774572[/C][C]0.0929151646431403[/C][/ROW]
[ROW][C]0.69[/C][C]33.7211254714136[/C][C]0.086791538301584[/C][/ROW]
[ROW][C]0.7[/C][C]33.7383466980886[/C][C]0.0825372845301433[/C][/ROW]
[ROW][C]0.71[/C][C]33.7549969294296[/C][C]0.0796814985752056[/C][/ROW]
[ROW][C]0.72[/C][C]33.7712830610603[/C][C]0.0777586867034183[/C][/ROW]
[ROW][C]0.73[/C][C]33.7873315917634[/C][C]0.0762950840068799[/C][/ROW]
[ROW][C]0.74[/C][C]33.8031958201616[/C][C]0.0748610633609371[/C][/ROW]
[ROW][C]0.75[/C][C]33.8188726958749[/C][C]0.0731586566350551[/C][/ROW]
[ROW][C]0.76[/C][C]33.8343292267842[/C][C]0.0710857585276354[/C][/ROW]
[ROW][C]0.77[/C][C]33.8495370393543[/C][C]0.0686383482487884[/C][/ROW]
[ROW][C]0.78[/C][C]33.8645118789989[/C][C]0.066054723706317[/C][/ROW]
[ROW][C]0.79[/C][C]33.8793527001211[/C][C]0.0637810139361811[/C][/ROW]
[ROW][C]0.8[/C][C]33.8942728446228[/C][C]0.0623540854741372[/C][/ROW]
[ROW][C]0.81[/C][C]33.9096141921199[/C][C]0.0625147899783988[/C][/ROW]
[ROW][C]0.82[/C][C]33.9258349839429[/C][C]0.0647876107136498[/C][/ROW]
[ROW][C]0.83[/C][C]33.9434644762084[/C][C]0.0694638395364003[/C][/ROW]
[ROW][C]0.84[/C][C]33.9630237243749[/C][C]0.0762533776098778[/C][/ROW]
[ROW][C]0.85[/C][C]33.9849216625118[/C][C]0.0843995764781686[/C][/ROW]
[ROW][C]0.86[/C][C]34.0093471783704[/C][C]0.0925712052039437[/C][/ROW]
[ROW][C]0.87[/C][C]34.0361866871303[/C][C]0.099335982813375[/C][/ROW]
[ROW][C]0.88[/C][C]34.0649972670121[/C][C]0.103308043339283[/C][/ROW]
[ROW][C]0.89[/C][C]34.0950541923402[/C][C]0.103565570088568[/C][/ROW]
[ROW][C]0.9[/C][C]34.1254705352704[/C][C]0.0998968782935225[/C][/ROW]
[ROW][C]0.91[/C][C]34.1553637701118[/C][C]0.0928093958792866[/C][/ROW]
[ROW][C]0.92[/C][C]34.1840315503956[/C][C]0.0833631549835565[/C][/ROW]
[ROW][C]0.93[/C][C]34.2111042214146[/C][C]0.0729501926973929[/C][/ROW]
[ROW][C]0.94[/C][C]34.2366646792937[/C][C]0.062953614371268[/C][/ROW]
[ROW][C]0.95[/C][C]34.2613523439846[/C][C]0.0546156517049954[/C][/ROW]
[ROW][C]0.96[/C][C]34.2864420120236[/C][C]0.0489470408244515[/C][/ROW]
[ROW][C]0.97[/C][C]34.3136587080776[/C][C]0.0468216187713252[/C][/ROW]
[ROW][C]0.98[/C][C]34.3439343755748[/C][C]0.0493074833488889[/C][/ROW]
[ROW][C]0.99[/C][C]34.3742465904307[/C][C]0.0565938123151681[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=119449&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=119449&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
0.0130.42863359966320.335967421631021
0.0230.57898754486420.211177378750315
0.0330.699428307230.127356708288975
0.0430.78091780293040.10010362879618
0.0530.83892346736120.106771890702843
0.0630.88784416202840.119450970237269
0.0730.9342926499040.1267313811189
0.0830.97957246237790.127549587245051
0.0931.02317664095120.125359409970626
0.131.06474208845850.124236697012309
0.1131.10456756755380.126461615299964
0.1231.14339580940560.131939794566427
0.1331.18203071064380.139280764855537
0.1431.22108678960060.147204540062159
0.1531.26093548708340.155172302259616
0.1631.30177964758690.163432796804843
0.1731.34375309271990.172455015681493
0.1831.38697259253130.182482058385921
0.1931.43152236781570.193180434791606
0.231.47739452398580.203643825693312
0.2131.52442784252130.212580147507632
0.2231.57228248560190.218916955111194
0.2331.62046848781480.22189858911437
0.2431.66842284660170.2214253922338
0.2531.71561277500540.218053067693708
0.2631.76163594088670.212920316902364
0.2731.8062922912340.207319229954612
0.2831.84961293623150.202706756580281
0.2931.89184467937490.200240380072973
0.331.93339971089880.200580703223909
0.3131.97478604772780.20390477718503
0.3232.01653496406380.210059065351853
0.3332.05913814197150.218452659627191
0.3432.10300173391180.228526530002928
0.3532.14841912181510.239533159060262
0.3632.19556035007850.250929091908861
0.3732.24447450876960.262076438415803
0.3832.29510139833080.272384866769256
0.3932.34728977641420.28150181310673
0.432.4008204747810.289104293027465
0.4132.45543307578740.294901491026644
0.4232.51085450356240.299112241183853
0.4332.56682707765710.301696326368019
0.4432.62313278905250.303086842227032
0.4532.67961027748090.303724101459709
0.4632.73616150713060.303997129114323
0.4732.79274646345110.304275788790389
0.4832.84936607658150.30481605715189
0.4932.90603561250070.305589545531917
0.532.96275253373040.306400905307548
0.5133.01946397348720.306872649085279
0.5233.07603928757010.306489602931345
0.5333.1322525937670.304410713106884
0.5433.18777885720370.300317855379106
0.5533.24220511768020.293586549968292
0.5633.29505615751910.283873144298805
0.5733.34583162333230.271188111344139
0.5833.39404972715570.255715604151128
0.5933.43929152159080.237896584495006
0.633.48123962072780.218488524479458
0.6133.5197061832550.198286224532812
0.6233.55464680986170.178092179143472
0.6333.58615934294310.158760844615817
0.6433.6144688810210.140964357850405
0.6533.63990214229510.125300863105802
0.6633.66285530365440.111997382192568
0.6733.68375952981520.10122107537252
0.6833.70304777745720.0929151646431403
0.6933.72112547141360.086791538301584
0.733.73834669808860.0825372845301433
0.7133.75499692942960.0796814985752056
0.7233.77128306106030.0777586867034183
0.7333.78733159176340.0762950840068799
0.7433.80319582016160.0748610633609371
0.7533.81887269587490.0731586566350551
0.7633.83432922678420.0710857585276354
0.7733.84953703935430.0686383482487884
0.7833.86451187899890.066054723706317
0.7933.87935270012110.0637810139361811
0.833.89427284462280.0623540854741372
0.8133.90961419211990.0625147899783988
0.8233.92583498394290.0647876107136498
0.8333.94346447620840.0694638395364003
0.8433.96302372437490.0762533776098778
0.8533.98492166251180.0843995764781686
0.8634.00934717837040.0925712052039437
0.8734.03618668713030.099335982813375
0.8834.06499726701210.103308043339283
0.8934.09505419234020.103565570088568
0.934.12547053527040.0998968782935225
0.9134.15536377011180.0928093958792866
0.9234.18403155039560.0833631549835565
0.9334.21110422141460.0729501926973929
0.9434.23666467929370.062953614371268
0.9534.26135234398460.0546156517049954
0.9634.28644201202360.0489470408244515
0.9734.31365870807760.0468216187713252
0.9834.34393437557480.0493074833488889
0.9934.37424659043070.0565938123151681


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')