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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, 03 Mar 2008 14:03:19 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/03/t1204578320p6qdm1hy6la3ryr.htm/, Retrieved Tue, 10 Feb 2026 08:17:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9987, Retrieved Tue, 10 Feb 2026 08:17:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsNicholas Van der Gucht
Estimated Impact391

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] [Percentielen bier...] [2008-03-03 21:03:19] [43452a058b5967e58219044a1f0127ad] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.42
0.41
0.42
0.42
0.42
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.41
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.42
0.43
0.43
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.44
0.43
0.44
0.44
0.46
0.46
0.46
0.46
0.46
0.45
0.45
0.46
0.46
0.46
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47
0.47

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9987&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9987&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9987&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.410
0.020.410
0.030.410
0.040.410
0.050.410
0.060.410
0.070.410
0.080.410
0.090.4100000000000000
0.10.4100000000000030
0.110.4100000000000230
0.120.4100000000001340
0.130.4100000000007080
0.140.4100000000034410
0.150.4100000000154060
0.160.4100000000638340
0.170.4100000002458460
0.180.4100000008833751.43685833338868e-07
0.190.4100000029712150
0.20.4100000093823491.43685833338868e-07
0.210.4100000278885871.43685833338868e-07
0.220.4100000782197662.87371666677737e-07
0.230.4100002074552031.00580083337208e-06
0.240.4100005213286992.29897333342190e-06
0.250.4100012435711995.17269000019927e-06
0.260.4100028205525531.0920123333754e-05
0.270.4100060923429872.24149900008635e-05
0.280.4100125504767664.32494358349994e-05
0.290.4100246924959418.00330091697497e-05
0.30.4100464592631430.000140668430838752
0.310.4100837013578870.000236219510009100
0.320.4101445700701920.000379043228347935
0.330.4102396796790400.000581065510022384
0.340.4103818620500030.000852344363366168
0.350.4105853561020460.00119719036337945
0.360.4108643602517010.0016102871342287
0.370.4112310237820140.00207626029174665
0.380.4116931352062380.00256690039021746
0.390.4122519299251480.00304460876653290
0.40.4129005237681510.00346579376050356
0.410.4136234347982840.00378780420780439
0.420.4143974713210830.00397632029175009
0.430.4151939765268990.00401110128165297
0.440.4159821085342730.00388998707485757
0.450.4167325935494310.00362975198288425
0.460.4174212949449250.00326286380841535
0.470.4180320192296260.00283349854904552
0.480.418558198837870.00239008183130393
0.490.4190033726999870.0019813481714147
0.50.4193806341515450.00165297919703907
0.510.4197113568554180.00144992068928522
0.520.4200235133474590.00141391594132603
0.530.420349790613910.00157084374053794
0.540.420725546555090.00191873775756071
0.550.421186519553490.00243996768176387
0.560.4217661665095020.00310802637153665
0.570.4224925919367960.00388709546888811
0.580.4233852238411850.00472769280047747
0.590.4244516295521090.00556775552542233
0.60.4256850595054870.00633424617815482
0.610.4270633744711750.00695446580986178
0.620.4285498988457090.00736407713599504
0.630.4300964501180150.00751799170237671
0.640.4316483829552240.0073984414828048
0.650.4331510610872750.00702044332281674
0.660.4345568487182810.00642978613317176
0.670.4358315834458310.00569947077285281
0.680.4369595790967740.00492000407388541
0.690.4379464601268020.00419137676021002
0.70.4388194478378550.00361588911092172
0.710.4396249982962670.0032918006065458
0.720.4404238819439870.00329563901449202
0.730.4412839333980340.00364530473774816
0.740.4422708993088360.00428828720533164
0.750.4434381898557270.00512532125118448
0.760.4448169165539900.00602953387715206
0.770.4464082198517320.00686119496976756
0.780.4481802232396410.00748192710725455
0.790.4500716046716940.00778297198432234
0.80.4520025020464590.00771069313458744
0.810.4538913641628120.00728640602315003
0.820.4556739576764940.00660857870582232
0.830.4573189307498480.00583457566805696
0.840.4588340898425030.00514561218672178
0.850.4602595559388050.00469016262994776
0.860.4616482206961260.00451209549598453
0.870.4630393558810080.00451103344716398
0.880.4644356368102740.00449385098457346
0.890.4657944644990630.00427812458719851
0.90.4670395133074740.003773683767021
0.910.4680889701668280.00301605302387170
0.920.4688876463918270.00214375612576500
0.930.4694271797511540.00133027166707526
0.940.4697449597325130.000704961463628604
0.950.4699046983807670.000310282995249978
0.960.4699713305676660.000108982606485925
0.970.4699934901762542.85893948563393e-05
0.980.4699990069112894.99620492635057e-06
0.990.4699999233514144.62611567254682e-07

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.41 & 0 \tabularnewline
0.02 & 0.41 & 0 \tabularnewline
0.03 & 0.41 & 0 \tabularnewline
0.04 & 0.41 & 0 \tabularnewline
0.05 & 0.41 & 0 \tabularnewline
0.06 & 0.41 & 0 \tabularnewline
0.07 & 0.41 & 0 \tabularnewline
0.08 & 0.41 & 0 \tabularnewline
0.09 & 0.410000000000000 & 0 \tabularnewline
0.1 & 0.410000000000003 & 0 \tabularnewline
0.11 & 0.410000000000023 & 0 \tabularnewline
0.12 & 0.410000000000134 & 0 \tabularnewline
0.13 & 0.410000000000708 & 0 \tabularnewline
0.14 & 0.410000000003441 & 0 \tabularnewline
0.15 & 0.410000000015406 & 0 \tabularnewline
0.16 & 0.410000000063834 & 0 \tabularnewline
0.17 & 0.410000000245846 & 0 \tabularnewline
0.18 & 0.410000000883375 & 1.43685833338868e-07 \tabularnewline
0.19 & 0.410000002971215 & 0 \tabularnewline
0.2 & 0.410000009382349 & 1.43685833338868e-07 \tabularnewline
0.21 & 0.410000027888587 & 1.43685833338868e-07 \tabularnewline
0.22 & 0.410000078219766 & 2.87371666677737e-07 \tabularnewline
0.23 & 0.410000207455203 & 1.00580083337208e-06 \tabularnewline
0.24 & 0.410000521328699 & 2.29897333342190e-06 \tabularnewline
0.25 & 0.410001243571199 & 5.17269000019927e-06 \tabularnewline
0.26 & 0.410002820552553 & 1.0920123333754e-05 \tabularnewline
0.27 & 0.410006092342987 & 2.24149900008635e-05 \tabularnewline
0.28 & 0.410012550476766 & 4.32494358349994e-05 \tabularnewline
0.29 & 0.410024692495941 & 8.00330091697497e-05 \tabularnewline
0.3 & 0.410046459263143 & 0.000140668430838752 \tabularnewline
0.31 & 0.410083701357887 & 0.000236219510009100 \tabularnewline
0.32 & 0.410144570070192 & 0.000379043228347935 \tabularnewline
0.33 & 0.410239679679040 & 0.000581065510022384 \tabularnewline
0.34 & 0.410381862050003 & 0.000852344363366168 \tabularnewline
0.35 & 0.410585356102046 & 0.00119719036337945 \tabularnewline
0.36 & 0.410864360251701 & 0.0016102871342287 \tabularnewline
0.37 & 0.411231023782014 & 0.00207626029174665 \tabularnewline
0.38 & 0.411693135206238 & 0.00256690039021746 \tabularnewline
0.39 & 0.412251929925148 & 0.00304460876653290 \tabularnewline
0.4 & 0.412900523768151 & 0.00346579376050356 \tabularnewline
0.41 & 0.413623434798284 & 0.00378780420780439 \tabularnewline
0.42 & 0.414397471321083 & 0.00397632029175009 \tabularnewline
0.43 & 0.415193976526899 & 0.00401110128165297 \tabularnewline
0.44 & 0.415982108534273 & 0.00388998707485757 \tabularnewline
0.45 & 0.416732593549431 & 0.00362975198288425 \tabularnewline
0.46 & 0.417421294944925 & 0.00326286380841535 \tabularnewline
0.47 & 0.418032019229626 & 0.00283349854904552 \tabularnewline
0.48 & 0.41855819883787 & 0.00239008183130393 \tabularnewline
0.49 & 0.419003372699987 & 0.0019813481714147 \tabularnewline
0.5 & 0.419380634151545 & 0.00165297919703907 \tabularnewline
0.51 & 0.419711356855418 & 0.00144992068928522 \tabularnewline
0.52 & 0.420023513347459 & 0.00141391594132603 \tabularnewline
0.53 & 0.42034979061391 & 0.00157084374053794 \tabularnewline
0.54 & 0.42072554655509 & 0.00191873775756071 \tabularnewline
0.55 & 0.42118651955349 & 0.00243996768176387 \tabularnewline
0.56 & 0.421766166509502 & 0.00310802637153665 \tabularnewline
0.57 & 0.422492591936796 & 0.00388709546888811 \tabularnewline
0.58 & 0.423385223841185 & 0.00472769280047747 \tabularnewline
0.59 & 0.424451629552109 & 0.00556775552542233 \tabularnewline
0.6 & 0.425685059505487 & 0.00633424617815482 \tabularnewline
0.61 & 0.427063374471175 & 0.00695446580986178 \tabularnewline
0.62 & 0.428549898845709 & 0.00736407713599504 \tabularnewline
0.63 & 0.430096450118015 & 0.00751799170237671 \tabularnewline
0.64 & 0.431648382955224 & 0.0073984414828048 \tabularnewline
0.65 & 0.433151061087275 & 0.00702044332281674 \tabularnewline
0.66 & 0.434556848718281 & 0.00642978613317176 \tabularnewline
0.67 & 0.435831583445831 & 0.00569947077285281 \tabularnewline
0.68 & 0.436959579096774 & 0.00492000407388541 \tabularnewline
0.69 & 0.437946460126802 & 0.00419137676021002 \tabularnewline
0.7 & 0.438819447837855 & 0.00361588911092172 \tabularnewline
0.71 & 0.439624998296267 & 0.0032918006065458 \tabularnewline
0.72 & 0.440423881943987 & 0.00329563901449202 \tabularnewline
0.73 & 0.441283933398034 & 0.00364530473774816 \tabularnewline
0.74 & 0.442270899308836 & 0.00428828720533164 \tabularnewline
0.75 & 0.443438189855727 & 0.00512532125118448 \tabularnewline
0.76 & 0.444816916553990 & 0.00602953387715206 \tabularnewline
0.77 & 0.446408219851732 & 0.00686119496976756 \tabularnewline
0.78 & 0.448180223239641 & 0.00748192710725455 \tabularnewline
0.79 & 0.450071604671694 & 0.00778297198432234 \tabularnewline
0.8 & 0.452002502046459 & 0.00771069313458744 \tabularnewline
0.81 & 0.453891364162812 & 0.00728640602315003 \tabularnewline
0.82 & 0.455673957676494 & 0.00660857870582232 \tabularnewline
0.83 & 0.457318930749848 & 0.00583457566805696 \tabularnewline
0.84 & 0.458834089842503 & 0.00514561218672178 \tabularnewline
0.85 & 0.460259555938805 & 0.00469016262994776 \tabularnewline
0.86 & 0.461648220696126 & 0.00451209549598453 \tabularnewline
0.87 & 0.463039355881008 & 0.00451103344716398 \tabularnewline
0.88 & 0.464435636810274 & 0.00449385098457346 \tabularnewline
0.89 & 0.465794464499063 & 0.00427812458719851 \tabularnewline
0.9 & 0.467039513307474 & 0.003773683767021 \tabularnewline
0.91 & 0.468088970166828 & 0.00301605302387170 \tabularnewline
0.92 & 0.468887646391827 & 0.00214375612576500 \tabularnewline
0.93 & 0.469427179751154 & 0.00133027166707526 \tabularnewline
0.94 & 0.469744959732513 & 0.000704961463628604 \tabularnewline
0.95 & 0.469904698380767 & 0.000310282995249978 \tabularnewline
0.96 & 0.469971330567666 & 0.000108982606485925 \tabularnewline
0.97 & 0.469993490176254 & 2.85893948563393e-05 \tabularnewline
0.98 & 0.469999006911289 & 4.99620492635057e-06 \tabularnewline
0.99 & 0.469999923351414 & 4.62611567254682e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9987&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]0.41[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]0.41[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]0.41[/C][C]0[/C][/ROW]
[ROW][C]0.04[/C][C]0.41[/C][C]0[/C][/ROW]
[ROW][C]0.05[/C][C]0.41[/C][C]0[/C][/ROW]
[ROW][C]0.06[/C][C]0.41[/C][C]0[/C][/ROW]
[ROW][C]0.07[/C][C]0.41[/C][C]0[/C][/ROW]
[ROW][C]0.08[/C][C]0.41[/C][C]0[/C][/ROW]
[ROW][C]0.09[/C][C]0.410000000000000[/C][C]0[/C][/ROW]
[ROW][C]0.1[/C][C]0.410000000000003[/C][C]0[/C][/ROW]
[ROW][C]0.11[/C][C]0.410000000000023[/C][C]0[/C][/ROW]
[ROW][C]0.12[/C][C]0.410000000000134[/C][C]0[/C][/ROW]
[ROW][C]0.13[/C][C]0.410000000000708[/C][C]0[/C][/ROW]
[ROW][C]0.14[/C][C]0.410000000003441[/C][C]0[/C][/ROW]
[ROW][C]0.15[/C][C]0.410000000015406[/C][C]0[/C][/ROW]
[ROW][C]0.16[/C][C]0.410000000063834[/C][C]0[/C][/ROW]
[ROW][C]0.17[/C][C]0.410000000245846[/C][C]0[/C][/ROW]
[ROW][C]0.18[/C][C]0.410000000883375[/C][C]1.43685833338868e-07[/C][/ROW]
[ROW][C]0.19[/C][C]0.410000002971215[/C][C]0[/C][/ROW]
[ROW][C]0.2[/C][C]0.410000009382349[/C][C]1.43685833338868e-07[/C][/ROW]
[ROW][C]0.21[/C][C]0.410000027888587[/C][C]1.43685833338868e-07[/C][/ROW]
[ROW][C]0.22[/C][C]0.410000078219766[/C][C]2.87371666677737e-07[/C][/ROW]
[ROW][C]0.23[/C][C]0.410000207455203[/C][C]1.00580083337208e-06[/C][/ROW]
[ROW][C]0.24[/C][C]0.410000521328699[/C][C]2.29897333342190e-06[/C][/ROW]
[ROW][C]0.25[/C][C]0.410001243571199[/C][C]5.17269000019927e-06[/C][/ROW]
[ROW][C]0.26[/C][C]0.410002820552553[/C][C]1.0920123333754e-05[/C][/ROW]
[ROW][C]0.27[/C][C]0.410006092342987[/C][C]2.24149900008635e-05[/C][/ROW]
[ROW][C]0.28[/C][C]0.410012550476766[/C][C]4.32494358349994e-05[/C][/ROW]
[ROW][C]0.29[/C][C]0.410024692495941[/C][C]8.00330091697497e-05[/C][/ROW]
[ROW][C]0.3[/C][C]0.410046459263143[/C][C]0.000140668430838752[/C][/ROW]
[ROW][C]0.31[/C][C]0.410083701357887[/C][C]0.000236219510009100[/C][/ROW]
[ROW][C]0.32[/C][C]0.410144570070192[/C][C]0.000379043228347935[/C][/ROW]
[ROW][C]0.33[/C][C]0.410239679679040[/C][C]0.000581065510022384[/C][/ROW]
[ROW][C]0.34[/C][C]0.410381862050003[/C][C]0.000852344363366168[/C][/ROW]
[ROW][C]0.35[/C][C]0.410585356102046[/C][C]0.00119719036337945[/C][/ROW]
[ROW][C]0.36[/C][C]0.410864360251701[/C][C]0.0016102871342287[/C][/ROW]
[ROW][C]0.37[/C][C]0.411231023782014[/C][C]0.00207626029174665[/C][/ROW]
[ROW][C]0.38[/C][C]0.411693135206238[/C][C]0.00256690039021746[/C][/ROW]
[ROW][C]0.39[/C][C]0.412251929925148[/C][C]0.00304460876653290[/C][/ROW]
[ROW][C]0.4[/C][C]0.412900523768151[/C][C]0.00346579376050356[/C][/ROW]
[ROW][C]0.41[/C][C]0.413623434798284[/C][C]0.00378780420780439[/C][/ROW]
[ROW][C]0.42[/C][C]0.414397471321083[/C][C]0.00397632029175009[/C][/ROW]
[ROW][C]0.43[/C][C]0.415193976526899[/C][C]0.00401110128165297[/C][/ROW]
[ROW][C]0.44[/C][C]0.415982108534273[/C][C]0.00388998707485757[/C][/ROW]
[ROW][C]0.45[/C][C]0.416732593549431[/C][C]0.00362975198288425[/C][/ROW]
[ROW][C]0.46[/C][C]0.417421294944925[/C][C]0.00326286380841535[/C][/ROW]
[ROW][C]0.47[/C][C]0.418032019229626[/C][C]0.00283349854904552[/C][/ROW]
[ROW][C]0.48[/C][C]0.41855819883787[/C][C]0.00239008183130393[/C][/ROW]
[ROW][C]0.49[/C][C]0.419003372699987[/C][C]0.0019813481714147[/C][/ROW]
[ROW][C]0.5[/C][C]0.419380634151545[/C][C]0.00165297919703907[/C][/ROW]
[ROW][C]0.51[/C][C]0.419711356855418[/C][C]0.00144992068928522[/C][/ROW]
[ROW][C]0.52[/C][C]0.420023513347459[/C][C]0.00141391594132603[/C][/ROW]
[ROW][C]0.53[/C][C]0.42034979061391[/C][C]0.00157084374053794[/C][/ROW]
[ROW][C]0.54[/C][C]0.42072554655509[/C][C]0.00191873775756071[/C][/ROW]
[ROW][C]0.55[/C][C]0.42118651955349[/C][C]0.00243996768176387[/C][/ROW]
[ROW][C]0.56[/C][C]0.421766166509502[/C][C]0.00310802637153665[/C][/ROW]
[ROW][C]0.57[/C][C]0.422492591936796[/C][C]0.00388709546888811[/C][/ROW]
[ROW][C]0.58[/C][C]0.423385223841185[/C][C]0.00472769280047747[/C][/ROW]
[ROW][C]0.59[/C][C]0.424451629552109[/C][C]0.00556775552542233[/C][/ROW]
[ROW][C]0.6[/C][C]0.425685059505487[/C][C]0.00633424617815482[/C][/ROW]
[ROW][C]0.61[/C][C]0.427063374471175[/C][C]0.00695446580986178[/C][/ROW]
[ROW][C]0.62[/C][C]0.428549898845709[/C][C]0.00736407713599504[/C][/ROW]
[ROW][C]0.63[/C][C]0.430096450118015[/C][C]0.00751799170237671[/C][/ROW]
[ROW][C]0.64[/C][C]0.431648382955224[/C][C]0.0073984414828048[/C][/ROW]
[ROW][C]0.65[/C][C]0.433151061087275[/C][C]0.00702044332281674[/C][/ROW]
[ROW][C]0.66[/C][C]0.434556848718281[/C][C]0.00642978613317176[/C][/ROW]
[ROW][C]0.67[/C][C]0.435831583445831[/C][C]0.00569947077285281[/C][/ROW]
[ROW][C]0.68[/C][C]0.436959579096774[/C][C]0.00492000407388541[/C][/ROW]
[ROW][C]0.69[/C][C]0.437946460126802[/C][C]0.00419137676021002[/C][/ROW]
[ROW][C]0.7[/C][C]0.438819447837855[/C][C]0.00361588911092172[/C][/ROW]
[ROW][C]0.71[/C][C]0.439624998296267[/C][C]0.0032918006065458[/C][/ROW]
[ROW][C]0.72[/C][C]0.440423881943987[/C][C]0.00329563901449202[/C][/ROW]
[ROW][C]0.73[/C][C]0.441283933398034[/C][C]0.00364530473774816[/C][/ROW]
[ROW][C]0.74[/C][C]0.442270899308836[/C][C]0.00428828720533164[/C][/ROW]
[ROW][C]0.75[/C][C]0.443438189855727[/C][C]0.00512532125118448[/C][/ROW]
[ROW][C]0.76[/C][C]0.444816916553990[/C][C]0.00602953387715206[/C][/ROW]
[ROW][C]0.77[/C][C]0.446408219851732[/C][C]0.00686119496976756[/C][/ROW]
[ROW][C]0.78[/C][C]0.448180223239641[/C][C]0.00748192710725455[/C][/ROW]
[ROW][C]0.79[/C][C]0.450071604671694[/C][C]0.00778297198432234[/C][/ROW]
[ROW][C]0.8[/C][C]0.452002502046459[/C][C]0.00771069313458744[/C][/ROW]
[ROW][C]0.81[/C][C]0.453891364162812[/C][C]0.00728640602315003[/C][/ROW]
[ROW][C]0.82[/C][C]0.455673957676494[/C][C]0.00660857870582232[/C][/ROW]
[ROW][C]0.83[/C][C]0.457318930749848[/C][C]0.00583457566805696[/C][/ROW]
[ROW][C]0.84[/C][C]0.458834089842503[/C][C]0.00514561218672178[/C][/ROW]
[ROW][C]0.85[/C][C]0.460259555938805[/C][C]0.00469016262994776[/C][/ROW]
[ROW][C]0.86[/C][C]0.461648220696126[/C][C]0.00451209549598453[/C][/ROW]
[ROW][C]0.87[/C][C]0.463039355881008[/C][C]0.00451103344716398[/C][/ROW]
[ROW][C]0.88[/C][C]0.464435636810274[/C][C]0.00449385098457346[/C][/ROW]
[ROW][C]0.89[/C][C]0.465794464499063[/C][C]0.00427812458719851[/C][/ROW]
[ROW][C]0.9[/C][C]0.467039513307474[/C][C]0.003773683767021[/C][/ROW]
[ROW][C]0.91[/C][C]0.468088970166828[/C][C]0.00301605302387170[/C][/ROW]
[ROW][C]0.92[/C][C]0.468887646391827[/C][C]0.00214375612576500[/C][/ROW]
[ROW][C]0.93[/C][C]0.469427179751154[/C][C]0.00133027166707526[/C][/ROW]
[ROW][C]0.94[/C][C]0.469744959732513[/C][C]0.000704961463628604[/C][/ROW]
[ROW][C]0.95[/C][C]0.469904698380767[/C][C]0.000310282995249978[/C][/ROW]
[ROW][C]0.96[/C][C]0.469971330567666[/C][C]0.000108982606485925[/C][/ROW]
[ROW][C]0.97[/C][C]0.469993490176254[/C][C]2.85893948563393e-05[/C][/ROW]
[ROW][C]0.98[/C][C]0.469999006911289[/C][C]4.99620492635057e-06[/C][/ROW]
[ROW][C]0.99[/C][C]0.469999923351414[/C][C]4.62611567254682e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9987&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9987&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
0.010.410
0.020.410
0.030.410
0.040.410
0.050.410
0.060.410
0.070.410
0.080.410
0.090.4100000000000000
0.10.4100000000000030
0.110.4100000000000230
0.120.4100000000001340
0.130.4100000000007080
0.140.4100000000034410
0.150.4100000000154060
0.160.4100000000638340
0.170.4100000002458460
0.180.4100000008833751.43685833338868e-07
0.190.4100000029712150
0.20.4100000093823491.43685833338868e-07
0.210.4100000278885871.43685833338868e-07
0.220.4100000782197662.87371666677737e-07
0.230.4100002074552031.00580083337208e-06
0.240.4100005213286992.29897333342190e-06
0.250.4100012435711995.17269000019927e-06
0.260.4100028205525531.0920123333754e-05
0.270.4100060923429872.24149900008635e-05
0.280.4100125504767664.32494358349994e-05
0.290.4100246924959418.00330091697497e-05
0.30.4100464592631430.000140668430838752
0.310.4100837013578870.000236219510009100
0.320.4101445700701920.000379043228347935
0.330.4102396796790400.000581065510022384
0.340.4103818620500030.000852344363366168
0.350.4105853561020460.00119719036337945
0.360.4108643602517010.0016102871342287
0.370.4112310237820140.00207626029174665
0.380.4116931352062380.00256690039021746
0.390.4122519299251480.00304460876653290
0.40.4129005237681510.00346579376050356
0.410.4136234347982840.00378780420780439
0.420.4143974713210830.00397632029175009
0.430.4151939765268990.00401110128165297
0.440.4159821085342730.00388998707485757
0.450.4167325935494310.00362975198288425
0.460.4174212949449250.00326286380841535
0.470.4180320192296260.00283349854904552
0.480.418558198837870.00239008183130393
0.490.4190033726999870.0019813481714147
0.50.4193806341515450.00165297919703907
0.510.4197113568554180.00144992068928522
0.520.4200235133474590.00141391594132603
0.530.420349790613910.00157084374053794
0.540.420725546555090.00191873775756071
0.550.421186519553490.00243996768176387
0.560.4217661665095020.00310802637153665
0.570.4224925919367960.00388709546888811
0.580.4233852238411850.00472769280047747
0.590.4244516295521090.00556775552542233
0.60.4256850595054870.00633424617815482
0.610.4270633744711750.00695446580986178
0.620.4285498988457090.00736407713599504
0.630.4300964501180150.00751799170237671
0.640.4316483829552240.0073984414828048
0.650.4331510610872750.00702044332281674
0.660.4345568487182810.00642978613317176
0.670.4358315834458310.00569947077285281
0.680.4369595790967740.00492000407388541
0.690.4379464601268020.00419137676021002
0.70.4388194478378550.00361588911092172
0.710.4396249982962670.0032918006065458
0.720.4404238819439870.00329563901449202
0.730.4412839333980340.00364530473774816
0.740.4422708993088360.00428828720533164
0.750.4434381898557270.00512532125118448
0.760.4448169165539900.00602953387715206
0.770.4464082198517320.00686119496976756
0.780.4481802232396410.00748192710725455
0.790.4500716046716940.00778297198432234
0.80.4520025020464590.00771069313458744
0.810.4538913641628120.00728640602315003
0.820.4556739576764940.00660857870582232
0.830.4573189307498480.00583457566805696
0.840.4588340898425030.00514561218672178
0.850.4602595559388050.00469016262994776
0.860.4616482206961260.00451209549598453
0.870.4630393558810080.00451103344716398
0.880.4644356368102740.00449385098457346
0.890.4657944644990630.00427812458719851
0.90.4670395133074740.003773683767021
0.910.4680889701668280.00301605302387170
0.920.4688876463918270.00214375612576500
0.930.4694271797511540.00133027166707526
0.940.4697449597325130.000704961463628604
0.950.4699046983807670.000310282995249978
0.960.4699713305676660.000108982606485925
0.970.4699934901762542.85893948563393e-05
0.980.4699990069112894.99620492635057e-06
0.990.4699999233514144.62611567254682e-07


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.10 ;
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')