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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 computationMon, 20 May 2013 12:34:39 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/May/20/t1369067730y973v1q2iw235db.htm/, Retrieved Tue, 19 May 2026 15:20:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=209150, Retrieved Tue, 19 May 2026 15:20:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact289

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 ...] [2013-05-20 16:34:39] [4772101fb1e8fea1eb9b6fc7ea4f009e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.67
0.66
0.66
0.67
0.67
0.67
0.67
0.68
0.68
0.67
0.67
0.67
0.67
0.67
0.69
0.69
0.69
0.69
0.69
0.69
0.7
0.69
0.68
0.7
0.7
0.71
0.69
0.7
0.7
0.71
0.71
0.71
0.71
0.7
0.7
0.71
0.71
0.71
0.71
0.7
0.69
0.7
0.7
0.7
0.71
0.7
0.7
0.69
0.7
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.71
0.69
0.7
0.7
0.7
0.72
0.7
0.69
0.7
0.71
0.72
0.72
0.73
0.72
0.74
0.75

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'Sir Maurice George Kendall' @ kendall.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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209150&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209150&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209150&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.6607865727110930.00233468175970742
0.020.6624589380083560.004290820364005
0.030.6645842399784870.00456901269449863
0.040.6665773120727010.00359882059682516
0.050.6680836323121510.00231122732390905
0.060.6690518658921430.00128954026696273
0.070.6696118418885620.000698673307819613
0.080.6699387912851870.000542567598348616
0.090.6701820701372830.000754628411905942
0.10.6704500122598110.00120300168914213
0.110.6708185718762470.00183951472232801
0.120.671341622799130.00263572752602521
0.130.6720554915908070.00354144527731983
0.140.6729786433193620.0044855550821296
0.150.6741098523759340.00538138394832804
0.160.6754276426917930.00614401971988121
0.170.6768923524955220.00670188664503237
0.180.6784508432467460.00700826858021419
0.190.6800429888071680.00704642554599941
0.20.6816087138538320.00682841580469397
0.210.6830944092053690.00639188594684366
0.220.684457870899010.00579198081792786
0.230.6856713205517820.00509321443603526
0.240.6867224430394080.00436361506894588
0.250.6876136600681830.00366629128820701
0.260.688360028780180.00305561675418021
0.270.6889862240352130.00257866125469053
0.280.6895230538580930.00227012706595811
0.290.6900038965259790.00214957057447896
0.30.6904613628658370.00220956849042351
0.310.6909244035411490.0024144737185571
0.320.6914160147617120.00271475989222372
0.330.6919516503130530.00306019855754513
0.340.6925384139465830.00340227680072295
0.350.6931750683982150.00369946181451694
0.360.6938528425535350.00391629273475433
0.370.6945569437617240.00402714412640095
0.380.6952685983056680.00401884501599001
0.390.6959673696417080.0038904658011206
0.40.6966334633595370.00365318631742162
0.410.6972497353222190.00332779319432158
0.420.6978031777471390.00294111788793446
0.430.6982857555824480.00252307369336223
0.440.6986945804768390.00210230444297072
0.450.6990315164178190.00170308932081518
0.460.6993023879964150.00134491303009298
0.470.6995159966443990.00104069025361191
0.480.6996831405452860.000798300549458897
0.490.6998157883247640.000623406466599253
0.50.6999264891366640.000522132939964551
0.510.700028028197640.000502913660473015
0.520.7001332713894630.000568293250790885
0.530.7002550959467260.000710988255344094
0.540.7004062831862010.000924080033765639
0.550.7005992566337140.00120286258667754
0.560.7008455840867250.00154020555060081
0.570.7011552205994810.00192511912775448
0.580.7015355422569770.00234159232842953
0.590.7019902947100280.00276620921481506
0.60.7025186394063710.00317169975106672
0.610.7031145076610080.00352768008078001
0.620.7037664556778250.00380385343959238
0.630.7044581486476010.00397595443322375
0.640.7051694973335560.00402598995042868
0.650.7058783463241640.00394845351322987
0.660.7065624976613880.00374880962488235
0.670.7072017759367580.00344388714316734
0.680.707779822577550.00305959797119581
0.690.7082853546841820.00262730280724541
0.70.7087127268611010.00217956853029679
0.710.7090617678715490.00174540843054709
0.720.7093369954304120.00134857498077517
0.730.7095464124541450.00100421974204717
0.740.709700138251310.000720369025161181
0.750.7098091258430660.000497880112129665
0.760.7098841740156780.000332062760016009
0.770.7099353807062080.00021596090993444
0.780.7099721231517850.000142747813794526
0.790.7100035994752550.00011278940189004
0.80.7100399173015380.000134990002996294
0.810.7100936390712240.000215650743217335
0.820.7101815523968390.000365085652063142
0.830.7103262048531070.00060297037980661
0.840.7105564635679570.000952820605460402
0.850.7109061756458170.00142768867846216
0.860.711410182636210.00202085798413318
0.870.7120977951202860.00269350069420105
0.880.7129855105872660.00337144320620354
0.890.7140729116233450.00395850388215668
0.90.7153471804127570.00437063033959611
0.910.7168006698860080.00458993511197848
0.920.7184607599473940.00472496448361167
0.930.7204219345576280.00503528990603232
0.940.7228606270959070.00581704013880151
0.950.7260114457262050.00712438219811238
0.960.7300926064627120.00862080046090595
0.970.7351738684898250.00972411417892195
0.980.7409574753745430.0100237683362404
0.990.7464658036188470.00984395939986951

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.660786572711093 & 0.00233468175970742 \tabularnewline
0.02 & 0.662458938008356 & 0.004290820364005 \tabularnewline
0.03 & 0.664584239978487 & 0.00456901269449863 \tabularnewline
0.04 & 0.666577312072701 & 0.00359882059682516 \tabularnewline
0.05 & 0.668083632312151 & 0.00231122732390905 \tabularnewline
0.06 & 0.669051865892143 & 0.00128954026696273 \tabularnewline
0.07 & 0.669611841888562 & 0.000698673307819613 \tabularnewline
0.08 & 0.669938791285187 & 0.000542567598348616 \tabularnewline
0.09 & 0.670182070137283 & 0.000754628411905942 \tabularnewline
0.1 & 0.670450012259811 & 0.00120300168914213 \tabularnewline
0.11 & 0.670818571876247 & 0.00183951472232801 \tabularnewline
0.12 & 0.67134162279913 & 0.00263572752602521 \tabularnewline
0.13 & 0.672055491590807 & 0.00354144527731983 \tabularnewline
0.14 & 0.672978643319362 & 0.0044855550821296 \tabularnewline
0.15 & 0.674109852375934 & 0.00538138394832804 \tabularnewline
0.16 & 0.675427642691793 & 0.00614401971988121 \tabularnewline
0.17 & 0.676892352495522 & 0.00670188664503237 \tabularnewline
0.18 & 0.678450843246746 & 0.00700826858021419 \tabularnewline
0.19 & 0.680042988807168 & 0.00704642554599941 \tabularnewline
0.2 & 0.681608713853832 & 0.00682841580469397 \tabularnewline
0.21 & 0.683094409205369 & 0.00639188594684366 \tabularnewline
0.22 & 0.68445787089901 & 0.00579198081792786 \tabularnewline
0.23 & 0.685671320551782 & 0.00509321443603526 \tabularnewline
0.24 & 0.686722443039408 & 0.00436361506894588 \tabularnewline
0.25 & 0.687613660068183 & 0.00366629128820701 \tabularnewline
0.26 & 0.68836002878018 & 0.00305561675418021 \tabularnewline
0.27 & 0.688986224035213 & 0.00257866125469053 \tabularnewline
0.28 & 0.689523053858093 & 0.00227012706595811 \tabularnewline
0.29 & 0.690003896525979 & 0.00214957057447896 \tabularnewline
0.3 & 0.690461362865837 & 0.00220956849042351 \tabularnewline
0.31 & 0.690924403541149 & 0.0024144737185571 \tabularnewline
0.32 & 0.691416014761712 & 0.00271475989222372 \tabularnewline
0.33 & 0.691951650313053 & 0.00306019855754513 \tabularnewline
0.34 & 0.692538413946583 & 0.00340227680072295 \tabularnewline
0.35 & 0.693175068398215 & 0.00369946181451694 \tabularnewline
0.36 & 0.693852842553535 & 0.00391629273475433 \tabularnewline
0.37 & 0.694556943761724 & 0.00402714412640095 \tabularnewline
0.38 & 0.695268598305668 & 0.00401884501599001 \tabularnewline
0.39 & 0.695967369641708 & 0.0038904658011206 \tabularnewline
0.4 & 0.696633463359537 & 0.00365318631742162 \tabularnewline
0.41 & 0.697249735322219 & 0.00332779319432158 \tabularnewline
0.42 & 0.697803177747139 & 0.00294111788793446 \tabularnewline
0.43 & 0.698285755582448 & 0.00252307369336223 \tabularnewline
0.44 & 0.698694580476839 & 0.00210230444297072 \tabularnewline
0.45 & 0.699031516417819 & 0.00170308932081518 \tabularnewline
0.46 & 0.699302387996415 & 0.00134491303009298 \tabularnewline
0.47 & 0.699515996644399 & 0.00104069025361191 \tabularnewline
0.48 & 0.699683140545286 & 0.000798300549458897 \tabularnewline
0.49 & 0.699815788324764 & 0.000623406466599253 \tabularnewline
0.5 & 0.699926489136664 & 0.000522132939964551 \tabularnewline
0.51 & 0.70002802819764 & 0.000502913660473015 \tabularnewline
0.52 & 0.700133271389463 & 0.000568293250790885 \tabularnewline
0.53 & 0.700255095946726 & 0.000710988255344094 \tabularnewline
0.54 & 0.700406283186201 & 0.000924080033765639 \tabularnewline
0.55 & 0.700599256633714 & 0.00120286258667754 \tabularnewline
0.56 & 0.700845584086725 & 0.00154020555060081 \tabularnewline
0.57 & 0.701155220599481 & 0.00192511912775448 \tabularnewline
0.58 & 0.701535542256977 & 0.00234159232842953 \tabularnewline
0.59 & 0.701990294710028 & 0.00276620921481506 \tabularnewline
0.6 & 0.702518639406371 & 0.00317169975106672 \tabularnewline
0.61 & 0.703114507661008 & 0.00352768008078001 \tabularnewline
0.62 & 0.703766455677825 & 0.00380385343959238 \tabularnewline
0.63 & 0.704458148647601 & 0.00397595443322375 \tabularnewline
0.64 & 0.705169497333556 & 0.00402598995042868 \tabularnewline
0.65 & 0.705878346324164 & 0.00394845351322987 \tabularnewline
0.66 & 0.706562497661388 & 0.00374880962488235 \tabularnewline
0.67 & 0.707201775936758 & 0.00344388714316734 \tabularnewline
0.68 & 0.70777982257755 & 0.00305959797119581 \tabularnewline
0.69 & 0.708285354684182 & 0.00262730280724541 \tabularnewline
0.7 & 0.708712726861101 & 0.00217956853029679 \tabularnewline
0.71 & 0.709061767871549 & 0.00174540843054709 \tabularnewline
0.72 & 0.709336995430412 & 0.00134857498077517 \tabularnewline
0.73 & 0.709546412454145 & 0.00100421974204717 \tabularnewline
0.74 & 0.70970013825131 & 0.000720369025161181 \tabularnewline
0.75 & 0.709809125843066 & 0.000497880112129665 \tabularnewline
0.76 & 0.709884174015678 & 0.000332062760016009 \tabularnewline
0.77 & 0.709935380706208 & 0.00021596090993444 \tabularnewline
0.78 & 0.709972123151785 & 0.000142747813794526 \tabularnewline
0.79 & 0.710003599475255 & 0.00011278940189004 \tabularnewline
0.8 & 0.710039917301538 & 0.000134990002996294 \tabularnewline
0.81 & 0.710093639071224 & 0.000215650743217335 \tabularnewline
0.82 & 0.710181552396839 & 0.000365085652063142 \tabularnewline
0.83 & 0.710326204853107 & 0.00060297037980661 \tabularnewline
0.84 & 0.710556463567957 & 0.000952820605460402 \tabularnewline
0.85 & 0.710906175645817 & 0.00142768867846216 \tabularnewline
0.86 & 0.71141018263621 & 0.00202085798413318 \tabularnewline
0.87 & 0.712097795120286 & 0.00269350069420105 \tabularnewline
0.88 & 0.712985510587266 & 0.00337144320620354 \tabularnewline
0.89 & 0.714072911623345 & 0.00395850388215668 \tabularnewline
0.9 & 0.715347180412757 & 0.00437063033959611 \tabularnewline
0.91 & 0.716800669886008 & 0.00458993511197848 \tabularnewline
0.92 & 0.718460759947394 & 0.00472496448361167 \tabularnewline
0.93 & 0.720421934557628 & 0.00503528990603232 \tabularnewline
0.94 & 0.722860627095907 & 0.00581704013880151 \tabularnewline
0.95 & 0.726011445726205 & 0.00712438219811238 \tabularnewline
0.96 & 0.730092606462712 & 0.00862080046090595 \tabularnewline
0.97 & 0.735173868489825 & 0.00972411417892195 \tabularnewline
0.98 & 0.740957475374543 & 0.0100237683362404 \tabularnewline
0.99 & 0.746465803618847 & 0.00984395939986951 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=209150&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]0.660786572711093[/C][C]0.00233468175970742[/C][/ROW]
[ROW][C]0.02[/C][C]0.662458938008356[/C][C]0.004290820364005[/C][/ROW]
[ROW][C]0.03[/C][C]0.664584239978487[/C][C]0.00456901269449863[/C][/ROW]
[ROW][C]0.04[/C][C]0.666577312072701[/C][C]0.00359882059682516[/C][/ROW]
[ROW][C]0.05[/C][C]0.668083632312151[/C][C]0.00231122732390905[/C][/ROW]
[ROW][C]0.06[/C][C]0.669051865892143[/C][C]0.00128954026696273[/C][/ROW]
[ROW][C]0.07[/C][C]0.669611841888562[/C][C]0.000698673307819613[/C][/ROW]
[ROW][C]0.08[/C][C]0.669938791285187[/C][C]0.000542567598348616[/C][/ROW]
[ROW][C]0.09[/C][C]0.670182070137283[/C][C]0.000754628411905942[/C][/ROW]
[ROW][C]0.1[/C][C]0.670450012259811[/C][C]0.00120300168914213[/C][/ROW]
[ROW][C]0.11[/C][C]0.670818571876247[/C][C]0.00183951472232801[/C][/ROW]
[ROW][C]0.12[/C][C]0.67134162279913[/C][C]0.00263572752602521[/C][/ROW]
[ROW][C]0.13[/C][C]0.672055491590807[/C][C]0.00354144527731983[/C][/ROW]
[ROW][C]0.14[/C][C]0.672978643319362[/C][C]0.0044855550821296[/C][/ROW]
[ROW][C]0.15[/C][C]0.674109852375934[/C][C]0.00538138394832804[/C][/ROW]
[ROW][C]0.16[/C][C]0.675427642691793[/C][C]0.00614401971988121[/C][/ROW]
[ROW][C]0.17[/C][C]0.676892352495522[/C][C]0.00670188664503237[/C][/ROW]
[ROW][C]0.18[/C][C]0.678450843246746[/C][C]0.00700826858021419[/C][/ROW]
[ROW][C]0.19[/C][C]0.680042988807168[/C][C]0.00704642554599941[/C][/ROW]
[ROW][C]0.2[/C][C]0.681608713853832[/C][C]0.00682841580469397[/C][/ROW]
[ROW][C]0.21[/C][C]0.683094409205369[/C][C]0.00639188594684366[/C][/ROW]
[ROW][C]0.22[/C][C]0.68445787089901[/C][C]0.00579198081792786[/C][/ROW]
[ROW][C]0.23[/C][C]0.685671320551782[/C][C]0.00509321443603526[/C][/ROW]
[ROW][C]0.24[/C][C]0.686722443039408[/C][C]0.00436361506894588[/C][/ROW]
[ROW][C]0.25[/C][C]0.687613660068183[/C][C]0.00366629128820701[/C][/ROW]
[ROW][C]0.26[/C][C]0.68836002878018[/C][C]0.00305561675418021[/C][/ROW]
[ROW][C]0.27[/C][C]0.688986224035213[/C][C]0.00257866125469053[/C][/ROW]
[ROW][C]0.28[/C][C]0.689523053858093[/C][C]0.00227012706595811[/C][/ROW]
[ROW][C]0.29[/C][C]0.690003896525979[/C][C]0.00214957057447896[/C][/ROW]
[ROW][C]0.3[/C][C]0.690461362865837[/C][C]0.00220956849042351[/C][/ROW]
[ROW][C]0.31[/C][C]0.690924403541149[/C][C]0.0024144737185571[/C][/ROW]
[ROW][C]0.32[/C][C]0.691416014761712[/C][C]0.00271475989222372[/C][/ROW]
[ROW][C]0.33[/C][C]0.691951650313053[/C][C]0.00306019855754513[/C][/ROW]
[ROW][C]0.34[/C][C]0.692538413946583[/C][C]0.00340227680072295[/C][/ROW]
[ROW][C]0.35[/C][C]0.693175068398215[/C][C]0.00369946181451694[/C][/ROW]
[ROW][C]0.36[/C][C]0.693852842553535[/C][C]0.00391629273475433[/C][/ROW]
[ROW][C]0.37[/C][C]0.694556943761724[/C][C]0.00402714412640095[/C][/ROW]
[ROW][C]0.38[/C][C]0.695268598305668[/C][C]0.00401884501599001[/C][/ROW]
[ROW][C]0.39[/C][C]0.695967369641708[/C][C]0.0038904658011206[/C][/ROW]
[ROW][C]0.4[/C][C]0.696633463359537[/C][C]0.00365318631742162[/C][/ROW]
[ROW][C]0.41[/C][C]0.697249735322219[/C][C]0.00332779319432158[/C][/ROW]
[ROW][C]0.42[/C][C]0.697803177747139[/C][C]0.00294111788793446[/C][/ROW]
[ROW][C]0.43[/C][C]0.698285755582448[/C][C]0.00252307369336223[/C][/ROW]
[ROW][C]0.44[/C][C]0.698694580476839[/C][C]0.00210230444297072[/C][/ROW]
[ROW][C]0.45[/C][C]0.699031516417819[/C][C]0.00170308932081518[/C][/ROW]
[ROW][C]0.46[/C][C]0.699302387996415[/C][C]0.00134491303009298[/C][/ROW]
[ROW][C]0.47[/C][C]0.699515996644399[/C][C]0.00104069025361191[/C][/ROW]
[ROW][C]0.48[/C][C]0.699683140545286[/C][C]0.000798300549458897[/C][/ROW]
[ROW][C]0.49[/C][C]0.699815788324764[/C][C]0.000623406466599253[/C][/ROW]
[ROW][C]0.5[/C][C]0.699926489136664[/C][C]0.000522132939964551[/C][/ROW]
[ROW][C]0.51[/C][C]0.70002802819764[/C][C]0.000502913660473015[/C][/ROW]
[ROW][C]0.52[/C][C]0.700133271389463[/C][C]0.000568293250790885[/C][/ROW]
[ROW][C]0.53[/C][C]0.700255095946726[/C][C]0.000710988255344094[/C][/ROW]
[ROW][C]0.54[/C][C]0.700406283186201[/C][C]0.000924080033765639[/C][/ROW]
[ROW][C]0.55[/C][C]0.700599256633714[/C][C]0.00120286258667754[/C][/ROW]
[ROW][C]0.56[/C][C]0.700845584086725[/C][C]0.00154020555060081[/C][/ROW]
[ROW][C]0.57[/C][C]0.701155220599481[/C][C]0.00192511912775448[/C][/ROW]
[ROW][C]0.58[/C][C]0.701535542256977[/C][C]0.00234159232842953[/C][/ROW]
[ROW][C]0.59[/C][C]0.701990294710028[/C][C]0.00276620921481506[/C][/ROW]
[ROW][C]0.6[/C][C]0.702518639406371[/C][C]0.00317169975106672[/C][/ROW]
[ROW][C]0.61[/C][C]0.703114507661008[/C][C]0.00352768008078001[/C][/ROW]
[ROW][C]0.62[/C][C]0.703766455677825[/C][C]0.00380385343959238[/C][/ROW]
[ROW][C]0.63[/C][C]0.704458148647601[/C][C]0.00397595443322375[/C][/ROW]
[ROW][C]0.64[/C][C]0.705169497333556[/C][C]0.00402598995042868[/C][/ROW]
[ROW][C]0.65[/C][C]0.705878346324164[/C][C]0.00394845351322987[/C][/ROW]
[ROW][C]0.66[/C][C]0.706562497661388[/C][C]0.00374880962488235[/C][/ROW]
[ROW][C]0.67[/C][C]0.707201775936758[/C][C]0.00344388714316734[/C][/ROW]
[ROW][C]0.68[/C][C]0.70777982257755[/C][C]0.00305959797119581[/C][/ROW]
[ROW][C]0.69[/C][C]0.708285354684182[/C][C]0.00262730280724541[/C][/ROW]
[ROW][C]0.7[/C][C]0.708712726861101[/C][C]0.00217956853029679[/C][/ROW]
[ROW][C]0.71[/C][C]0.709061767871549[/C][C]0.00174540843054709[/C][/ROW]
[ROW][C]0.72[/C][C]0.709336995430412[/C][C]0.00134857498077517[/C][/ROW]
[ROW][C]0.73[/C][C]0.709546412454145[/C][C]0.00100421974204717[/C][/ROW]
[ROW][C]0.74[/C][C]0.70970013825131[/C][C]0.000720369025161181[/C][/ROW]
[ROW][C]0.75[/C][C]0.709809125843066[/C][C]0.000497880112129665[/C][/ROW]
[ROW][C]0.76[/C][C]0.709884174015678[/C][C]0.000332062760016009[/C][/ROW]
[ROW][C]0.77[/C][C]0.709935380706208[/C][C]0.00021596090993444[/C][/ROW]
[ROW][C]0.78[/C][C]0.709972123151785[/C][C]0.000142747813794526[/C][/ROW]
[ROW][C]0.79[/C][C]0.710003599475255[/C][C]0.00011278940189004[/C][/ROW]
[ROW][C]0.8[/C][C]0.710039917301538[/C][C]0.000134990002996294[/C][/ROW]
[ROW][C]0.81[/C][C]0.710093639071224[/C][C]0.000215650743217335[/C][/ROW]
[ROW][C]0.82[/C][C]0.710181552396839[/C][C]0.000365085652063142[/C][/ROW]
[ROW][C]0.83[/C][C]0.710326204853107[/C][C]0.00060297037980661[/C][/ROW]
[ROW][C]0.84[/C][C]0.710556463567957[/C][C]0.000952820605460402[/C][/ROW]
[ROW][C]0.85[/C][C]0.710906175645817[/C][C]0.00142768867846216[/C][/ROW]
[ROW][C]0.86[/C][C]0.71141018263621[/C][C]0.00202085798413318[/C][/ROW]
[ROW][C]0.87[/C][C]0.712097795120286[/C][C]0.00269350069420105[/C][/ROW]
[ROW][C]0.88[/C][C]0.712985510587266[/C][C]0.00337144320620354[/C][/ROW]
[ROW][C]0.89[/C][C]0.714072911623345[/C][C]0.00395850388215668[/C][/ROW]
[ROW][C]0.9[/C][C]0.715347180412757[/C][C]0.00437063033959611[/C][/ROW]
[ROW][C]0.91[/C][C]0.716800669886008[/C][C]0.00458993511197848[/C][/ROW]
[ROW][C]0.92[/C][C]0.718460759947394[/C][C]0.00472496448361167[/C][/ROW]
[ROW][C]0.93[/C][C]0.720421934557628[/C][C]0.00503528990603232[/C][/ROW]
[ROW][C]0.94[/C][C]0.722860627095907[/C][C]0.00581704013880151[/C][/ROW]
[ROW][C]0.95[/C][C]0.726011445726205[/C][C]0.00712438219811238[/C][/ROW]
[ROW][C]0.96[/C][C]0.730092606462712[/C][C]0.00862080046090595[/C][/ROW]
[ROW][C]0.97[/C][C]0.735173868489825[/C][C]0.00972411417892195[/C][/ROW]
[ROW][C]0.98[/C][C]0.740957475374543[/C][C]0.0100237683362404[/C][/ROW]
[ROW][C]0.99[/C][C]0.746465803618847[/C][C]0.00984395939986951[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=209150&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=209150&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
0.010.6607865727110930.00233468175970742
0.020.6624589380083560.004290820364005
0.030.6645842399784870.00456901269449863
0.040.6665773120727010.00359882059682516
0.050.6680836323121510.00231122732390905
0.060.6690518658921430.00128954026696273
0.070.6696118418885620.000698673307819613
0.080.6699387912851870.000542567598348616
0.090.6701820701372830.000754628411905942
0.10.6704500122598110.00120300168914213
0.110.6708185718762470.00183951472232801
0.120.671341622799130.00263572752602521
0.130.6720554915908070.00354144527731983
0.140.6729786433193620.0044855550821296
0.150.6741098523759340.00538138394832804
0.160.6754276426917930.00614401971988121
0.170.6768923524955220.00670188664503237
0.180.6784508432467460.00700826858021419
0.190.6800429888071680.00704642554599941
0.20.6816087138538320.00682841580469397
0.210.6830944092053690.00639188594684366
0.220.684457870899010.00579198081792786
0.230.6856713205517820.00509321443603526
0.240.6867224430394080.00436361506894588
0.250.6876136600681830.00366629128820701
0.260.688360028780180.00305561675418021
0.270.6889862240352130.00257866125469053
0.280.6895230538580930.00227012706595811
0.290.6900038965259790.00214957057447896
0.30.6904613628658370.00220956849042351
0.310.6909244035411490.0024144737185571
0.320.6914160147617120.00271475989222372
0.330.6919516503130530.00306019855754513
0.340.6925384139465830.00340227680072295
0.350.6931750683982150.00369946181451694
0.360.6938528425535350.00391629273475433
0.370.6945569437617240.00402714412640095
0.380.6952685983056680.00401884501599001
0.390.6959673696417080.0038904658011206
0.40.6966334633595370.00365318631742162
0.410.6972497353222190.00332779319432158
0.420.6978031777471390.00294111788793446
0.430.6982857555824480.00252307369336223
0.440.6986945804768390.00210230444297072
0.450.6990315164178190.00170308932081518
0.460.6993023879964150.00134491303009298
0.470.6995159966443990.00104069025361191
0.480.6996831405452860.000798300549458897
0.490.6998157883247640.000623406466599253
0.50.6999264891366640.000522132939964551
0.510.700028028197640.000502913660473015
0.520.7001332713894630.000568293250790885
0.530.7002550959467260.000710988255344094
0.540.7004062831862010.000924080033765639
0.550.7005992566337140.00120286258667754
0.560.7008455840867250.00154020555060081
0.570.7011552205994810.00192511912775448
0.580.7015355422569770.00234159232842953
0.590.7019902947100280.00276620921481506
0.60.7025186394063710.00317169975106672
0.610.7031145076610080.00352768008078001
0.620.7037664556778250.00380385343959238
0.630.7044581486476010.00397595443322375
0.640.7051694973335560.00402598995042868
0.650.7058783463241640.00394845351322987
0.660.7065624976613880.00374880962488235
0.670.7072017759367580.00344388714316734
0.680.707779822577550.00305959797119581
0.690.7082853546841820.00262730280724541
0.70.7087127268611010.00217956853029679
0.710.7090617678715490.00174540843054709
0.720.7093369954304120.00134857498077517
0.730.7095464124541450.00100421974204717
0.740.709700138251310.000720369025161181
0.750.7098091258430660.000497880112129665
0.760.7098841740156780.000332062760016009
0.770.7099353807062080.00021596090993444
0.780.7099721231517850.000142747813794526
0.790.7100035994752550.00011278940189004
0.80.7100399173015380.000134990002996294
0.810.7100936390712240.000215650743217335
0.820.7101815523968390.000365085652063142
0.830.7103262048531070.00060297037980661
0.840.7105564635679570.000952820605460402
0.850.7109061756458170.00142768867846216
0.860.711410182636210.00202085798413318
0.870.7120977951202860.00269350069420105
0.880.7129855105872660.00337144320620354
0.890.7140729116233450.00395850388215668
0.90.7153471804127570.00437063033959611
0.910.7168006698860080.00458993511197848
0.920.7184607599473940.00472496448361167
0.930.7204219345576280.00503528990603232
0.940.7228606270959070.00581704013880151
0.950.7260114457262050.00712438219811238
0.960.7300926064627120.00862080046090595
0.970.7351738684898250.00972411417892195
0.980.7409574753745430.0100237683362404
0.990.7464658036188470.00984395939986951


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')