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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 computationSun, 26 May 2013 10:30:41 -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/26/t13695787241yzmvb1opfad0nr.htm/, Retrieved Mon, 27 Jul 2026 09:01:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=210623, Retrieved Mon, 27 Jul 2026 09:01:59 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact378

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] [Harrell Davis per...] [2013-02-26 15:58:55] [ab781ace6e9bb3bb317e6c6d3622dfa3]
- R PD    [Harrell-Davis Quantiles] [Harrel-Davis perc...] [2013-05-26 14:30:41] [7c79942bdfef66f90cd0e05a66ee0483] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,6
0,59
0,61
0,61
0,6
0,6
0,58
0,63
0,65
0,62
0,61
0,67
0,66
0,59
0,54
0,53
0,5
0,5
0,52
0,53
0,54
0,54
0,55
0,52
0,47
0,47
0,44
0,45
0,43
0,41
0,4
0,37
0,37
0,4
0,45
0,4
0,38
0,43
0,53
0,59
0,57
0,61
0,57
0,56
0,53
0,55
0,55
0,58
0,58
0,56
0,52
0,49
0,48
0,46
0,47
0,44
0,45
0,45
0,43
0,44
0,45
0,45
0,45
0,46
0,46
0,45
0,43
0,44
0,47
0,47
0,5
0,51

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210623&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210623&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210623&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.050.3915842007355730.0136157275998303
0.060.3973463640330110.0133060708796132
0.070.4026757549744480.0133864507020373
0.080.407636394227420.0137240922123524
0.090.4123037495049980.0138834326952647
0.10.4166901213098470.0135735962215362
0.110.4207528486953980.0127743404319416
0.120.4244379594783270.0116605540739519
0.130.4277177869568940.010472687337053
0.140.4306048030301220.00940662657728857
0.150.4331441709593410.00855969459434144
0.160.4353963508732980.00793227970557004
0.170.4374203711922620.00746630096805438
0.180.4392634451549360.00708877847227392
0.190.4409578178366480.00674136331203944
0.20.4425229778554830.00638946082302874
0.210.4439706221936010.00602417512201341
0.220.4453101709488130.0056599925909191
0.230.4465533843248590.00533064656132438
0.240.4477173098819630.00508300831948506
0.250.4488252891494350.00496590958282033
0.260.4499061302971090.00501819069884961
0.270.4509918565933750.00525535677744353
0.280.4521146633820070.00566307623240623
0.290.453303819520710.00620649239553547
0.30.4545832013195850.00684106561885507
0.310.45596995404210.00752388418483211
0.320.4574744847625790.00822101006670051
0.330.459101672523450.00891106210468673
0.340.4608529114554220.00958950219978212
0.350.4627284371756590.0102657390382195
0.360.46472935550750.0109592995719984
0.370.4668588930204370.0116918152724539
0.380.4691225905905890.0124802461613177
0.390.4715274137914670.0133301566558446
0.40.4740799988324720.0142300961755394
0.410.4767844361310030.015151660517235
0.420.479640078402010.0160550513239077
0.430.482639834320710.0168919859824644
0.440.4857692871980830.0176152355202465
0.450.489006797238430.018183279882722
0.460.4923245530616150.0185658673837619
0.470.4956903777543720.0187452188966203
0.480.499069996827610.0187198492884504
0.490.5024294494817040.0184995010922975
0.50.5057373599817380.018107288894335
0.510.5089668590845960.0175730765907367
0.520.5120970294393430.0169341166733388
0.530.5151138225563890.0162296887798905
0.540.5180104480645810.0155018021659743
0.550.5207872692657750.0147899673622487
0.560.523451260010840.014130637093772
0.570.5260150951326670.013554160934731
0.580.5284959644876160.0130853864357161
0.590.5309142173563030.0127376228830283
0.60.5332919530868980.0125157693016854
0.610.5356516681628410.0124160267212313
0.620.5380150457851380.0124288376665622
0.630.5404019348079810.0125373411468585
0.640.5428295206794270.0127233556104398
0.650.5453116561781240.0129666774242716
0.660.5478583073246550.0132447523764859
0.670.5504750863217750.0135341443211298
0.680.5531628847442190.0138092773785216
0.690.5559176717649380.0140435150398854
0.70.558730562438870.0142118554784926
0.710.5615882687059280.0142908718359488
0.720.5644740079880550.0142631836486272
0.730.567368862873530.0141220681876103
0.740.5702534785113710.0138686440713061
0.750.5731098819874570.0135166876985608
0.760.575923142502680.0130877112849948
0.770.5786825858170440.0126088735558294
0.780.5813823362754420.0121085875591989
0.790.5840210703475760.0116124252675009
0.80.5866010016754990.0111367099785092
0.810.5891262601279930.0106899788434636
0.820.59160098132450.0102681958097177
0.830.594027621250220.00985979738812621
0.840.5964062870500590.00944647322186483
0.850.5987362035010890.00901256523492182
0.860.6010206529650570.00855563390592936
0.870.6032765065071950.00810280722047917
0.880.605548397503570.00773470160711216
0.890.607925420117440.00760501649406443
0.90.6105551524397010.00793155061601886
0.910.6136466346782070.00891684970219626
0.920.6174521689936120.010616870330055
0.930.6222196739704090.0128558327332745
0.940.6281159014950170.0152041150967961
0.950.6351383532747030.0169982780532883

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.05 & 0.391584200735573 & 0.0136157275998303 \tabularnewline
0.06 & 0.397346364033011 & 0.0133060708796132 \tabularnewline
0.07 & 0.402675754974448 & 0.0133864507020373 \tabularnewline
0.08 & 0.40763639422742 & 0.0137240922123524 \tabularnewline
0.09 & 0.412303749504998 & 0.0138834326952647 \tabularnewline
0.1 & 0.416690121309847 & 0.0135735962215362 \tabularnewline
0.11 & 0.420752848695398 & 0.0127743404319416 \tabularnewline
0.12 & 0.424437959478327 & 0.0116605540739519 \tabularnewline
0.13 & 0.427717786956894 & 0.010472687337053 \tabularnewline
0.14 & 0.430604803030122 & 0.00940662657728857 \tabularnewline
0.15 & 0.433144170959341 & 0.00855969459434144 \tabularnewline
0.16 & 0.435396350873298 & 0.00793227970557004 \tabularnewline
0.17 & 0.437420371192262 & 0.00746630096805438 \tabularnewline
0.18 & 0.439263445154936 & 0.00708877847227392 \tabularnewline
0.19 & 0.440957817836648 & 0.00674136331203944 \tabularnewline
0.2 & 0.442522977855483 & 0.00638946082302874 \tabularnewline
0.21 & 0.443970622193601 & 0.00602417512201341 \tabularnewline
0.22 & 0.445310170948813 & 0.0056599925909191 \tabularnewline
0.23 & 0.446553384324859 & 0.00533064656132438 \tabularnewline
0.24 & 0.447717309881963 & 0.00508300831948506 \tabularnewline
0.25 & 0.448825289149435 & 0.00496590958282033 \tabularnewline
0.26 & 0.449906130297109 & 0.00501819069884961 \tabularnewline
0.27 & 0.450991856593375 & 0.00525535677744353 \tabularnewline
0.28 & 0.452114663382007 & 0.00566307623240623 \tabularnewline
0.29 & 0.45330381952071 & 0.00620649239553547 \tabularnewline
0.3 & 0.454583201319585 & 0.00684106561885507 \tabularnewline
0.31 & 0.4559699540421 & 0.00752388418483211 \tabularnewline
0.32 & 0.457474484762579 & 0.00822101006670051 \tabularnewline
0.33 & 0.45910167252345 & 0.00891106210468673 \tabularnewline
0.34 & 0.460852911455422 & 0.00958950219978212 \tabularnewline
0.35 & 0.462728437175659 & 0.0102657390382195 \tabularnewline
0.36 & 0.4647293555075 & 0.0109592995719984 \tabularnewline
0.37 & 0.466858893020437 & 0.0116918152724539 \tabularnewline
0.38 & 0.469122590590589 & 0.0124802461613177 \tabularnewline
0.39 & 0.471527413791467 & 0.0133301566558446 \tabularnewline
0.4 & 0.474079998832472 & 0.0142300961755394 \tabularnewline
0.41 & 0.476784436131003 & 0.015151660517235 \tabularnewline
0.42 & 0.47964007840201 & 0.0160550513239077 \tabularnewline
0.43 & 0.48263983432071 & 0.0168919859824644 \tabularnewline
0.44 & 0.485769287198083 & 0.0176152355202465 \tabularnewline
0.45 & 0.48900679723843 & 0.018183279882722 \tabularnewline
0.46 & 0.492324553061615 & 0.0185658673837619 \tabularnewline
0.47 & 0.495690377754372 & 0.0187452188966203 \tabularnewline
0.48 & 0.49906999682761 & 0.0187198492884504 \tabularnewline
0.49 & 0.502429449481704 & 0.0184995010922975 \tabularnewline
0.5 & 0.505737359981738 & 0.018107288894335 \tabularnewline
0.51 & 0.508966859084596 & 0.0175730765907367 \tabularnewline
0.52 & 0.512097029439343 & 0.0169341166733388 \tabularnewline
0.53 & 0.515113822556389 & 0.0162296887798905 \tabularnewline
0.54 & 0.518010448064581 & 0.0155018021659743 \tabularnewline
0.55 & 0.520787269265775 & 0.0147899673622487 \tabularnewline
0.56 & 0.52345126001084 & 0.014130637093772 \tabularnewline
0.57 & 0.526015095132667 & 0.013554160934731 \tabularnewline
0.58 & 0.528495964487616 & 0.0130853864357161 \tabularnewline
0.59 & 0.530914217356303 & 0.0127376228830283 \tabularnewline
0.6 & 0.533291953086898 & 0.0125157693016854 \tabularnewline
0.61 & 0.535651668162841 & 0.0124160267212313 \tabularnewline
0.62 & 0.538015045785138 & 0.0124288376665622 \tabularnewline
0.63 & 0.540401934807981 & 0.0125373411468585 \tabularnewline
0.64 & 0.542829520679427 & 0.0127233556104398 \tabularnewline
0.65 & 0.545311656178124 & 0.0129666774242716 \tabularnewline
0.66 & 0.547858307324655 & 0.0132447523764859 \tabularnewline
0.67 & 0.550475086321775 & 0.0135341443211298 \tabularnewline
0.68 & 0.553162884744219 & 0.0138092773785216 \tabularnewline
0.69 & 0.555917671764938 & 0.0140435150398854 \tabularnewline
0.7 & 0.55873056243887 & 0.0142118554784926 \tabularnewline
0.71 & 0.561588268705928 & 0.0142908718359488 \tabularnewline
0.72 & 0.564474007988055 & 0.0142631836486272 \tabularnewline
0.73 & 0.56736886287353 & 0.0141220681876103 \tabularnewline
0.74 & 0.570253478511371 & 0.0138686440713061 \tabularnewline
0.75 & 0.573109881987457 & 0.0135166876985608 \tabularnewline
0.76 & 0.57592314250268 & 0.0130877112849948 \tabularnewline
0.77 & 0.578682585817044 & 0.0126088735558294 \tabularnewline
0.78 & 0.581382336275442 & 0.0121085875591989 \tabularnewline
0.79 & 0.584021070347576 & 0.0116124252675009 \tabularnewline
0.8 & 0.586601001675499 & 0.0111367099785092 \tabularnewline
0.81 & 0.589126260127993 & 0.0106899788434636 \tabularnewline
0.82 & 0.5916009813245 & 0.0102681958097177 \tabularnewline
0.83 & 0.59402762125022 & 0.00985979738812621 \tabularnewline
0.84 & 0.596406287050059 & 0.00944647322186483 \tabularnewline
0.85 & 0.598736203501089 & 0.00901256523492182 \tabularnewline
0.86 & 0.601020652965057 & 0.00855563390592936 \tabularnewline
0.87 & 0.603276506507195 & 0.00810280722047917 \tabularnewline
0.88 & 0.60554839750357 & 0.00773470160711216 \tabularnewline
0.89 & 0.60792542011744 & 0.00760501649406443 \tabularnewline
0.9 & 0.610555152439701 & 0.00793155061601886 \tabularnewline
0.91 & 0.613646634678207 & 0.00891684970219626 \tabularnewline
0.92 & 0.617452168993612 & 0.010616870330055 \tabularnewline
0.93 & 0.622219673970409 & 0.0128558327332745 \tabularnewline
0.94 & 0.628115901495017 & 0.0152041150967961 \tabularnewline
0.95 & 0.635138353274703 & 0.0169982780532883 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=210623&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.05[/C][C]0.391584200735573[/C][C]0.0136157275998303[/C][/ROW]
[ROW][C]0.06[/C][C]0.397346364033011[/C][C]0.0133060708796132[/C][/ROW]
[ROW][C]0.07[/C][C]0.402675754974448[/C][C]0.0133864507020373[/C][/ROW]
[ROW][C]0.08[/C][C]0.40763639422742[/C][C]0.0137240922123524[/C][/ROW]
[ROW][C]0.09[/C][C]0.412303749504998[/C][C]0.0138834326952647[/C][/ROW]
[ROW][C]0.1[/C][C]0.416690121309847[/C][C]0.0135735962215362[/C][/ROW]
[ROW][C]0.11[/C][C]0.420752848695398[/C][C]0.0127743404319416[/C][/ROW]
[ROW][C]0.12[/C][C]0.424437959478327[/C][C]0.0116605540739519[/C][/ROW]
[ROW][C]0.13[/C][C]0.427717786956894[/C][C]0.010472687337053[/C][/ROW]
[ROW][C]0.14[/C][C]0.430604803030122[/C][C]0.00940662657728857[/C][/ROW]
[ROW][C]0.15[/C][C]0.433144170959341[/C][C]0.00855969459434144[/C][/ROW]
[ROW][C]0.16[/C][C]0.435396350873298[/C][C]0.00793227970557004[/C][/ROW]
[ROW][C]0.17[/C][C]0.437420371192262[/C][C]0.00746630096805438[/C][/ROW]
[ROW][C]0.18[/C][C]0.439263445154936[/C][C]0.00708877847227392[/C][/ROW]
[ROW][C]0.19[/C][C]0.440957817836648[/C][C]0.00674136331203944[/C][/ROW]
[ROW][C]0.2[/C][C]0.442522977855483[/C][C]0.00638946082302874[/C][/ROW]
[ROW][C]0.21[/C][C]0.443970622193601[/C][C]0.00602417512201341[/C][/ROW]
[ROW][C]0.22[/C][C]0.445310170948813[/C][C]0.0056599925909191[/C][/ROW]
[ROW][C]0.23[/C][C]0.446553384324859[/C][C]0.00533064656132438[/C][/ROW]
[ROW][C]0.24[/C][C]0.447717309881963[/C][C]0.00508300831948506[/C][/ROW]
[ROW][C]0.25[/C][C]0.448825289149435[/C][C]0.00496590958282033[/C][/ROW]
[ROW][C]0.26[/C][C]0.449906130297109[/C][C]0.00501819069884961[/C][/ROW]
[ROW][C]0.27[/C][C]0.450991856593375[/C][C]0.00525535677744353[/C][/ROW]
[ROW][C]0.28[/C][C]0.452114663382007[/C][C]0.00566307623240623[/C][/ROW]
[ROW][C]0.29[/C][C]0.45330381952071[/C][C]0.00620649239553547[/C][/ROW]
[ROW][C]0.3[/C][C]0.454583201319585[/C][C]0.00684106561885507[/C][/ROW]
[ROW][C]0.31[/C][C]0.4559699540421[/C][C]0.00752388418483211[/C][/ROW]
[ROW][C]0.32[/C][C]0.457474484762579[/C][C]0.00822101006670051[/C][/ROW]
[ROW][C]0.33[/C][C]0.45910167252345[/C][C]0.00891106210468673[/C][/ROW]
[ROW][C]0.34[/C][C]0.460852911455422[/C][C]0.00958950219978212[/C][/ROW]
[ROW][C]0.35[/C][C]0.462728437175659[/C][C]0.0102657390382195[/C][/ROW]
[ROW][C]0.36[/C][C]0.4647293555075[/C][C]0.0109592995719984[/C][/ROW]
[ROW][C]0.37[/C][C]0.466858893020437[/C][C]0.0116918152724539[/C][/ROW]
[ROW][C]0.38[/C][C]0.469122590590589[/C][C]0.0124802461613177[/C][/ROW]
[ROW][C]0.39[/C][C]0.471527413791467[/C][C]0.0133301566558446[/C][/ROW]
[ROW][C]0.4[/C][C]0.474079998832472[/C][C]0.0142300961755394[/C][/ROW]
[ROW][C]0.41[/C][C]0.476784436131003[/C][C]0.015151660517235[/C][/ROW]
[ROW][C]0.42[/C][C]0.47964007840201[/C][C]0.0160550513239077[/C][/ROW]
[ROW][C]0.43[/C][C]0.48263983432071[/C][C]0.0168919859824644[/C][/ROW]
[ROW][C]0.44[/C][C]0.485769287198083[/C][C]0.0176152355202465[/C][/ROW]
[ROW][C]0.45[/C][C]0.48900679723843[/C][C]0.018183279882722[/C][/ROW]
[ROW][C]0.46[/C][C]0.492324553061615[/C][C]0.0185658673837619[/C][/ROW]
[ROW][C]0.47[/C][C]0.495690377754372[/C][C]0.0187452188966203[/C][/ROW]
[ROW][C]0.48[/C][C]0.49906999682761[/C][C]0.0187198492884504[/C][/ROW]
[ROW][C]0.49[/C][C]0.502429449481704[/C][C]0.0184995010922975[/C][/ROW]
[ROW][C]0.5[/C][C]0.505737359981738[/C][C]0.018107288894335[/C][/ROW]
[ROW][C]0.51[/C][C]0.508966859084596[/C][C]0.0175730765907367[/C][/ROW]
[ROW][C]0.52[/C][C]0.512097029439343[/C][C]0.0169341166733388[/C][/ROW]
[ROW][C]0.53[/C][C]0.515113822556389[/C][C]0.0162296887798905[/C][/ROW]
[ROW][C]0.54[/C][C]0.518010448064581[/C][C]0.0155018021659743[/C][/ROW]
[ROW][C]0.55[/C][C]0.520787269265775[/C][C]0.0147899673622487[/C][/ROW]
[ROW][C]0.56[/C][C]0.52345126001084[/C][C]0.014130637093772[/C][/ROW]
[ROW][C]0.57[/C][C]0.526015095132667[/C][C]0.013554160934731[/C][/ROW]
[ROW][C]0.58[/C][C]0.528495964487616[/C][C]0.0130853864357161[/C][/ROW]
[ROW][C]0.59[/C][C]0.530914217356303[/C][C]0.0127376228830283[/C][/ROW]
[ROW][C]0.6[/C][C]0.533291953086898[/C][C]0.0125157693016854[/C][/ROW]
[ROW][C]0.61[/C][C]0.535651668162841[/C][C]0.0124160267212313[/C][/ROW]
[ROW][C]0.62[/C][C]0.538015045785138[/C][C]0.0124288376665622[/C][/ROW]
[ROW][C]0.63[/C][C]0.540401934807981[/C][C]0.0125373411468585[/C][/ROW]
[ROW][C]0.64[/C][C]0.542829520679427[/C][C]0.0127233556104398[/C][/ROW]
[ROW][C]0.65[/C][C]0.545311656178124[/C][C]0.0129666774242716[/C][/ROW]
[ROW][C]0.66[/C][C]0.547858307324655[/C][C]0.0132447523764859[/C][/ROW]
[ROW][C]0.67[/C][C]0.550475086321775[/C][C]0.0135341443211298[/C][/ROW]
[ROW][C]0.68[/C][C]0.553162884744219[/C][C]0.0138092773785216[/C][/ROW]
[ROW][C]0.69[/C][C]0.555917671764938[/C][C]0.0140435150398854[/C][/ROW]
[ROW][C]0.7[/C][C]0.55873056243887[/C][C]0.0142118554784926[/C][/ROW]
[ROW][C]0.71[/C][C]0.561588268705928[/C][C]0.0142908718359488[/C][/ROW]
[ROW][C]0.72[/C][C]0.564474007988055[/C][C]0.0142631836486272[/C][/ROW]
[ROW][C]0.73[/C][C]0.56736886287353[/C][C]0.0141220681876103[/C][/ROW]
[ROW][C]0.74[/C][C]0.570253478511371[/C][C]0.0138686440713061[/C][/ROW]
[ROW][C]0.75[/C][C]0.573109881987457[/C][C]0.0135166876985608[/C][/ROW]
[ROW][C]0.76[/C][C]0.57592314250268[/C][C]0.0130877112849948[/C][/ROW]
[ROW][C]0.77[/C][C]0.578682585817044[/C][C]0.0126088735558294[/C][/ROW]
[ROW][C]0.78[/C][C]0.581382336275442[/C][C]0.0121085875591989[/C][/ROW]
[ROW][C]0.79[/C][C]0.584021070347576[/C][C]0.0116124252675009[/C][/ROW]
[ROW][C]0.8[/C][C]0.586601001675499[/C][C]0.0111367099785092[/C][/ROW]
[ROW][C]0.81[/C][C]0.589126260127993[/C][C]0.0106899788434636[/C][/ROW]
[ROW][C]0.82[/C][C]0.5916009813245[/C][C]0.0102681958097177[/C][/ROW]
[ROW][C]0.83[/C][C]0.59402762125022[/C][C]0.00985979738812621[/C][/ROW]
[ROW][C]0.84[/C][C]0.596406287050059[/C][C]0.00944647322186483[/C][/ROW]
[ROW][C]0.85[/C][C]0.598736203501089[/C][C]0.00901256523492182[/C][/ROW]
[ROW][C]0.86[/C][C]0.601020652965057[/C][C]0.00855563390592936[/C][/ROW]
[ROW][C]0.87[/C][C]0.603276506507195[/C][C]0.00810280722047917[/C][/ROW]
[ROW][C]0.88[/C][C]0.60554839750357[/C][C]0.00773470160711216[/C][/ROW]
[ROW][C]0.89[/C][C]0.60792542011744[/C][C]0.00760501649406443[/C][/ROW]
[ROW][C]0.9[/C][C]0.610555152439701[/C][C]0.00793155061601886[/C][/ROW]
[ROW][C]0.91[/C][C]0.613646634678207[/C][C]0.00891684970219626[/C][/ROW]
[ROW][C]0.92[/C][C]0.617452168993612[/C][C]0.010616870330055[/C][/ROW]
[ROW][C]0.93[/C][C]0.622219673970409[/C][C]0.0128558327332745[/C][/ROW]
[ROW][C]0.94[/C][C]0.628115901495017[/C][C]0.0152041150967961[/C][/ROW]
[ROW][C]0.95[/C][C]0.635138353274703[/C][C]0.0169982780532883[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=210623&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=210623&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
0.050.3915842007355730.0136157275998303
0.060.3973463640330110.0133060708796132
0.070.4026757549744480.0133864507020373
0.080.407636394227420.0137240922123524
0.090.4123037495049980.0138834326952647
0.10.4166901213098470.0135735962215362
0.110.4207528486953980.0127743404319416
0.120.4244379594783270.0116605540739519
0.130.4277177869568940.010472687337053
0.140.4306048030301220.00940662657728857
0.150.4331441709593410.00855969459434144
0.160.4353963508732980.00793227970557004
0.170.4374203711922620.00746630096805438
0.180.4392634451549360.00708877847227392
0.190.4409578178366480.00674136331203944
0.20.4425229778554830.00638946082302874
0.210.4439706221936010.00602417512201341
0.220.4453101709488130.0056599925909191
0.230.4465533843248590.00533064656132438
0.240.4477173098819630.00508300831948506
0.250.4488252891494350.00496590958282033
0.260.4499061302971090.00501819069884961
0.270.4509918565933750.00525535677744353
0.280.4521146633820070.00566307623240623
0.290.453303819520710.00620649239553547
0.30.4545832013195850.00684106561885507
0.310.45596995404210.00752388418483211
0.320.4574744847625790.00822101006670051
0.330.459101672523450.00891106210468673
0.340.4608529114554220.00958950219978212
0.350.4627284371756590.0102657390382195
0.360.46472935550750.0109592995719984
0.370.4668588930204370.0116918152724539
0.380.4691225905905890.0124802461613177
0.390.4715274137914670.0133301566558446
0.40.4740799988324720.0142300961755394
0.410.4767844361310030.015151660517235
0.420.479640078402010.0160550513239077
0.430.482639834320710.0168919859824644
0.440.4857692871980830.0176152355202465
0.450.489006797238430.018183279882722
0.460.4923245530616150.0185658673837619
0.470.4956903777543720.0187452188966203
0.480.499069996827610.0187198492884504
0.490.5024294494817040.0184995010922975
0.50.5057373599817380.018107288894335
0.510.5089668590845960.0175730765907367
0.520.5120970294393430.0169341166733388
0.530.5151138225563890.0162296887798905
0.540.5180104480645810.0155018021659743
0.550.5207872692657750.0147899673622487
0.560.523451260010840.014130637093772
0.570.5260150951326670.013554160934731
0.580.5284959644876160.0130853864357161
0.590.5309142173563030.0127376228830283
0.60.5332919530868980.0125157693016854
0.610.5356516681628410.0124160267212313
0.620.5380150457851380.0124288376665622
0.630.5404019348079810.0125373411468585
0.640.5428295206794270.0127233556104398
0.650.5453116561781240.0129666774242716
0.660.5478583073246550.0132447523764859
0.670.5504750863217750.0135341443211298
0.680.5531628847442190.0138092773785216
0.690.5559176717649380.0140435150398854
0.70.558730562438870.0142118554784926
0.710.5615882687059280.0142908718359488
0.720.5644740079880550.0142631836486272
0.730.567368862873530.0141220681876103
0.740.5702534785113710.0138686440713061
0.750.5731098819874570.0135166876985608
0.760.575923142502680.0130877112849948
0.770.5786825858170440.0126088735558294
0.780.5813823362754420.0121085875591989
0.790.5840210703475760.0116124252675009
0.80.5866010016754990.0111367099785092
0.810.5891262601279930.0106899788434636
0.820.59160098132450.0102681958097177
0.830.594027621250220.00985979738812621
0.840.5964062870500590.00944647322186483
0.850.5987362035010890.00901256523492182
0.860.6010206529650570.00855563390592936
0.870.6032765065071950.00810280722047917
0.880.605548397503570.00773470160711216
0.890.607925420117440.00760501649406443
0.90.6105551524397010.00793155061601886
0.910.6136466346782070.00891684970219626
0.920.6174521689936120.010616870330055
0.930.6222196739704090.0128558327332745
0.940.6281159014950170.0152041150967961
0.950.6351383532747030.0169982780532883


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 40 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 0.05 ; par2 = 0.95 ; 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')