FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 22 Feb 2012 13:20:53 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t1329934876x1v1x6clwg36ks1.htm/, Retrieved Tue, 07 May 2024 03:13:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163154, Retrieved Tue, 07 May 2024 03:13:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact96

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] [] [2012-02-22 18:20:53] [73066c1738da8cd0d8960e0866962dc1] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.95
4.95
4.96
4.93
4.95
4.96
4.97
5.01
5.04
5.07
5.07
5.08
5.07
5.08
5.09
5.09
5.14
5.17
5.17
5.18
5.18
5.18
5.17
5.17
5.18
5.18
5.26
5.26
5.26
5.28
5.28
5.31
5.37
5.42
5.43
5.43
5.44
5.5
5.52
5.55
5.55
5.55
5.55
5.55
5.55
5.55
5.55
5.56
5.57
5.59
5.69
5.73
5.76
5.77
5.77
5.79
5.79
5.79
5.79
5.79

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' @ jenkins.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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163154&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163154&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.934040078248690.0159851932326363
0.024.939511831708340.0113483322701614
0.034.944692275352990.00795051067271871
0.044.94903143230020.00729933722621023
0.054.952893418618480.00946724908740473
0.064.956944554393190.0134640803877222
0.074.961763493402880.018602104453981
0.084.967709988917090.0243727930708071
0.094.974921683810710.0302030644905032
0.14.983345913212970.0354762726119814
0.114.992777319736520.039618658577932
0.125.002902046323830.042233158697525
0.135.013351304300410.0431790982363202
0.145.023759724500750.0425770342541036
0.155.033818566175430.0407892769217553
0.165.04331387006260.0383152963895189
0.175.052143701418840.0357169660313721
0.185.060314059564150.033500981589462
0.195.06791760594490.0320569470251271
0.25.075101964483740.03157646726141
0.215.082034882185380.0320336494586336
0.225.088872525045450.0332041785943189
0.235.095735331582020.0347707835732778
0.245.102693764048820.0363794671613036
0.255.109764387742690.037725673008385
0.265.11691517860130.0385718461803253
0.275.124077885542780.0387822828374203
0.285.131164666832560.0383259646035149
0.295.138086057033380.0372722845365541
0.35.144767555941920.0357705224870599
0.315.151162687027890.0340498980771759
0.325.157261143075990.0323704307056109
0.335.163091492789130.0310082900762378
0.345.168718734588480.0302068660747289
0.355.174237644208170.0301572743947256
0.365.179763299699330.030963010008476
0.375.185420353168010.0326093050573146
0.385.1913325641910.0350119607264467
0.395.197613855703020.0380216143183972
0.45.204361757558910.0414831462451793
0.415.2116536334190.0452431064772021
0.425.219545613503420.0491742915658014
0.435.228073747151010.0531656959298489
0.445.237256604037390.0571551981568219
0.455.247098432627830.0610826896052616
0.465.257592043137370.0649303495964018
0.475.26872080053550.068664353107629
0.485.280459438152130.0722406917911962
0.495.292773757095050.0756099981850648
0.55.305619576780650.0786987062188455
0.515.31894147750240.0814157360189998
0.525.332671890764630.0836627700066923
0.535.346730955139090.0853611388891535
0.545.361027315354080.0864332829634209
0.555.375459778900140.0868240782793996
0.565.389919540721080.0865204891220906
0.575.404292604571830.0855076095741845
0.585.41846209103880.0838063397881534
0.595.432310301630960.0814295042564003
0.65.445720641482250.0784059385409756
0.615.458579707663260.0747545611843036
0.625.470779952072120.0705172571462035
0.635.482223286157220.0657401042402512
0.645.492825814154610.0605001734236265
0.655.502523611309570.0549104177509907
0.665.511279180901650.0491136005616303
0.675.519088008096050.0432933815321145
0.685.525984534016470.0376608682600941
0.695.53204691000660.0324590671918402
0.75.537400020800450.0279397698733386
0.715.542216410612750.0243875438471333
0.725.546714823081920.0221137954046795
0.735.551156015960150.0214448531340814
0.745.555835336042310.022611359754797
0.755.561071321590050.0256495396263864
0.765.567189498741980.030411381735746
0.775.574500758576620.0366422275317895
0.785.583274422487880.0439973175181511
0.795.593707392787550.0520131846541341
0.85.605892510677270.060104039141151
0.815.619791023078450.0675864497204627
0.825.635215289538950.0737275276707673
0.835.651827848581050.0778292908494247
0.845.66916116561260.0793637102729348
0.855.686658694114560.0780493195615173
0.865.703732863901750.0739294710481364
0.875.719830558320610.0673809771084617
0.885.7344933317060.0590639354780374
0.895.747399724748180.0498006719661548
0.95.758381332531310.0404120993631731
0.915.767411925636020.0315842255749798
0.925.774577283036130.0237596675963194
0.935.78003880000470.0171279765667482
0.945.784003416642770.011698206923349
0.955.786705733383930.00741001345522368
0.965.78839883320860.00420679806130604
0.975.789344224523050.00202927150287878
0.985.789793084458780.000757179487555366
0.995.789959999411120.000173532624450836

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.93404007824869 & 0.0159851932326363 \tabularnewline
0.02 & 4.93951183170834 & 0.0113483322701614 \tabularnewline
0.03 & 4.94469227535299 & 0.00795051067271871 \tabularnewline
0.04 & 4.9490314323002 & 0.00729933722621023 \tabularnewline
0.05 & 4.95289341861848 & 0.00946724908740473 \tabularnewline
0.06 & 4.95694455439319 & 0.0134640803877222 \tabularnewline
0.07 & 4.96176349340288 & 0.018602104453981 \tabularnewline
0.08 & 4.96770998891709 & 0.0243727930708071 \tabularnewline
0.09 & 4.97492168381071 & 0.0302030644905032 \tabularnewline
0.1 & 4.98334591321297 & 0.0354762726119814 \tabularnewline
0.11 & 4.99277731973652 & 0.039618658577932 \tabularnewline
0.12 & 5.00290204632383 & 0.042233158697525 \tabularnewline
0.13 & 5.01335130430041 & 0.0431790982363202 \tabularnewline
0.14 & 5.02375972450075 & 0.0425770342541036 \tabularnewline
0.15 & 5.03381856617543 & 0.0407892769217553 \tabularnewline
0.16 & 5.0433138700626 & 0.0383152963895189 \tabularnewline
0.17 & 5.05214370141884 & 0.0357169660313721 \tabularnewline
0.18 & 5.06031405956415 & 0.033500981589462 \tabularnewline
0.19 & 5.0679176059449 & 0.0320569470251271 \tabularnewline
0.2 & 5.07510196448374 & 0.03157646726141 \tabularnewline
0.21 & 5.08203488218538 & 0.0320336494586336 \tabularnewline
0.22 & 5.08887252504545 & 0.0332041785943189 \tabularnewline
0.23 & 5.09573533158202 & 0.0347707835732778 \tabularnewline
0.24 & 5.10269376404882 & 0.0363794671613036 \tabularnewline
0.25 & 5.10976438774269 & 0.037725673008385 \tabularnewline
0.26 & 5.1169151786013 & 0.0385718461803253 \tabularnewline
0.27 & 5.12407788554278 & 0.0387822828374203 \tabularnewline
0.28 & 5.13116466683256 & 0.0383259646035149 \tabularnewline
0.29 & 5.13808605703338 & 0.0372722845365541 \tabularnewline
0.3 & 5.14476755594192 & 0.0357705224870599 \tabularnewline
0.31 & 5.15116268702789 & 0.0340498980771759 \tabularnewline
0.32 & 5.15726114307599 & 0.0323704307056109 \tabularnewline
0.33 & 5.16309149278913 & 0.0310082900762378 \tabularnewline
0.34 & 5.16871873458848 & 0.0302068660747289 \tabularnewline
0.35 & 5.17423764420817 & 0.0301572743947256 \tabularnewline
0.36 & 5.17976329969933 & 0.030963010008476 \tabularnewline
0.37 & 5.18542035316801 & 0.0326093050573146 \tabularnewline
0.38 & 5.191332564191 & 0.0350119607264467 \tabularnewline
0.39 & 5.19761385570302 & 0.0380216143183972 \tabularnewline
0.4 & 5.20436175755891 & 0.0414831462451793 \tabularnewline
0.41 & 5.211653633419 & 0.0452431064772021 \tabularnewline
0.42 & 5.21954561350342 & 0.0491742915658014 \tabularnewline
0.43 & 5.22807374715101 & 0.0531656959298489 \tabularnewline
0.44 & 5.23725660403739 & 0.0571551981568219 \tabularnewline
0.45 & 5.24709843262783 & 0.0610826896052616 \tabularnewline
0.46 & 5.25759204313737 & 0.0649303495964018 \tabularnewline
0.47 & 5.2687208005355 & 0.068664353107629 \tabularnewline
0.48 & 5.28045943815213 & 0.0722406917911962 \tabularnewline
0.49 & 5.29277375709505 & 0.0756099981850648 \tabularnewline
0.5 & 5.30561957678065 & 0.0786987062188455 \tabularnewline
0.51 & 5.3189414775024 & 0.0814157360189998 \tabularnewline
0.52 & 5.33267189076463 & 0.0836627700066923 \tabularnewline
0.53 & 5.34673095513909 & 0.0853611388891535 \tabularnewline
0.54 & 5.36102731535408 & 0.0864332829634209 \tabularnewline
0.55 & 5.37545977890014 & 0.0868240782793996 \tabularnewline
0.56 & 5.38991954072108 & 0.0865204891220906 \tabularnewline
0.57 & 5.40429260457183 & 0.0855076095741845 \tabularnewline
0.58 & 5.4184620910388 & 0.0838063397881534 \tabularnewline
0.59 & 5.43231030163096 & 0.0814295042564003 \tabularnewline
0.6 & 5.44572064148225 & 0.0784059385409756 \tabularnewline
0.61 & 5.45857970766326 & 0.0747545611843036 \tabularnewline
0.62 & 5.47077995207212 & 0.0705172571462035 \tabularnewline
0.63 & 5.48222328615722 & 0.0657401042402512 \tabularnewline
0.64 & 5.49282581415461 & 0.0605001734236265 \tabularnewline
0.65 & 5.50252361130957 & 0.0549104177509907 \tabularnewline
0.66 & 5.51127918090165 & 0.0491136005616303 \tabularnewline
0.67 & 5.51908800809605 & 0.0432933815321145 \tabularnewline
0.68 & 5.52598453401647 & 0.0376608682600941 \tabularnewline
0.69 & 5.5320469100066 & 0.0324590671918402 \tabularnewline
0.7 & 5.53740002080045 & 0.0279397698733386 \tabularnewline
0.71 & 5.54221641061275 & 0.0243875438471333 \tabularnewline
0.72 & 5.54671482308192 & 0.0221137954046795 \tabularnewline
0.73 & 5.55115601596015 & 0.0214448531340814 \tabularnewline
0.74 & 5.55583533604231 & 0.022611359754797 \tabularnewline
0.75 & 5.56107132159005 & 0.0256495396263864 \tabularnewline
0.76 & 5.56718949874198 & 0.030411381735746 \tabularnewline
0.77 & 5.57450075857662 & 0.0366422275317895 \tabularnewline
0.78 & 5.58327442248788 & 0.0439973175181511 \tabularnewline
0.79 & 5.59370739278755 & 0.0520131846541341 \tabularnewline
0.8 & 5.60589251067727 & 0.060104039141151 \tabularnewline
0.81 & 5.61979102307845 & 0.0675864497204627 \tabularnewline
0.82 & 5.63521528953895 & 0.0737275276707673 \tabularnewline
0.83 & 5.65182784858105 & 0.0778292908494247 \tabularnewline
0.84 & 5.6691611656126 & 0.0793637102729348 \tabularnewline
0.85 & 5.68665869411456 & 0.0780493195615173 \tabularnewline
0.86 & 5.70373286390175 & 0.0739294710481364 \tabularnewline
0.87 & 5.71983055832061 & 0.0673809771084617 \tabularnewline
0.88 & 5.734493331706 & 0.0590639354780374 \tabularnewline
0.89 & 5.74739972474818 & 0.0498006719661548 \tabularnewline
0.9 & 5.75838133253131 & 0.0404120993631731 \tabularnewline
0.91 & 5.76741192563602 & 0.0315842255749798 \tabularnewline
0.92 & 5.77457728303613 & 0.0237596675963194 \tabularnewline
0.93 & 5.7800388000047 & 0.0171279765667482 \tabularnewline
0.94 & 5.78400341664277 & 0.011698206923349 \tabularnewline
0.95 & 5.78670573338393 & 0.00741001345522368 \tabularnewline
0.96 & 5.7883988332086 & 0.00420679806130604 \tabularnewline
0.97 & 5.78934422452305 & 0.00202927150287878 \tabularnewline
0.98 & 5.78979308445878 & 0.000757179487555366 \tabularnewline
0.99 & 5.78995999941112 & 0.000173532624450836 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163154&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]4.93404007824869[/C][C]0.0159851932326363[/C][/ROW]
[ROW][C]0.02[/C][C]4.93951183170834[/C][C]0.0113483322701614[/C][/ROW]
[ROW][C]0.03[/C][C]4.94469227535299[/C][C]0.00795051067271871[/C][/ROW]
[ROW][C]0.04[/C][C]4.9490314323002[/C][C]0.00729933722621023[/C][/ROW]
[ROW][C]0.05[/C][C]4.95289341861848[/C][C]0.00946724908740473[/C][/ROW]
[ROW][C]0.06[/C][C]4.95694455439319[/C][C]0.0134640803877222[/C][/ROW]
[ROW][C]0.07[/C][C]4.96176349340288[/C][C]0.018602104453981[/C][/ROW]
[ROW][C]0.08[/C][C]4.96770998891709[/C][C]0.0243727930708071[/C][/ROW]
[ROW][C]0.09[/C][C]4.97492168381071[/C][C]0.0302030644905032[/C][/ROW]
[ROW][C]0.1[/C][C]4.98334591321297[/C][C]0.0354762726119814[/C][/ROW]
[ROW][C]0.11[/C][C]4.99277731973652[/C][C]0.039618658577932[/C][/ROW]
[ROW][C]0.12[/C][C]5.00290204632383[/C][C]0.042233158697525[/C][/ROW]
[ROW][C]0.13[/C][C]5.01335130430041[/C][C]0.0431790982363202[/C][/ROW]
[ROW][C]0.14[/C][C]5.02375972450075[/C][C]0.0425770342541036[/C][/ROW]
[ROW][C]0.15[/C][C]5.03381856617543[/C][C]0.0407892769217553[/C][/ROW]
[ROW][C]0.16[/C][C]5.0433138700626[/C][C]0.0383152963895189[/C][/ROW]
[ROW][C]0.17[/C][C]5.05214370141884[/C][C]0.0357169660313721[/C][/ROW]
[ROW][C]0.18[/C][C]5.06031405956415[/C][C]0.033500981589462[/C][/ROW]
[ROW][C]0.19[/C][C]5.0679176059449[/C][C]0.0320569470251271[/C][/ROW]
[ROW][C]0.2[/C][C]5.07510196448374[/C][C]0.03157646726141[/C][/ROW]
[ROW][C]0.21[/C][C]5.08203488218538[/C][C]0.0320336494586336[/C][/ROW]
[ROW][C]0.22[/C][C]5.08887252504545[/C][C]0.0332041785943189[/C][/ROW]
[ROW][C]0.23[/C][C]5.09573533158202[/C][C]0.0347707835732778[/C][/ROW]
[ROW][C]0.24[/C][C]5.10269376404882[/C][C]0.0363794671613036[/C][/ROW]
[ROW][C]0.25[/C][C]5.10976438774269[/C][C]0.037725673008385[/C][/ROW]
[ROW][C]0.26[/C][C]5.1169151786013[/C][C]0.0385718461803253[/C][/ROW]
[ROW][C]0.27[/C][C]5.12407788554278[/C][C]0.0387822828374203[/C][/ROW]
[ROW][C]0.28[/C][C]5.13116466683256[/C][C]0.0383259646035149[/C][/ROW]
[ROW][C]0.29[/C][C]5.13808605703338[/C][C]0.0372722845365541[/C][/ROW]
[ROW][C]0.3[/C][C]5.14476755594192[/C][C]0.0357705224870599[/C][/ROW]
[ROW][C]0.31[/C][C]5.15116268702789[/C][C]0.0340498980771759[/C][/ROW]
[ROW][C]0.32[/C][C]5.15726114307599[/C][C]0.0323704307056109[/C][/ROW]
[ROW][C]0.33[/C][C]5.16309149278913[/C][C]0.0310082900762378[/C][/ROW]
[ROW][C]0.34[/C][C]5.16871873458848[/C][C]0.0302068660747289[/C][/ROW]
[ROW][C]0.35[/C][C]5.17423764420817[/C][C]0.0301572743947256[/C][/ROW]
[ROW][C]0.36[/C][C]5.17976329969933[/C][C]0.030963010008476[/C][/ROW]
[ROW][C]0.37[/C][C]5.18542035316801[/C][C]0.0326093050573146[/C][/ROW]
[ROW][C]0.38[/C][C]5.191332564191[/C][C]0.0350119607264467[/C][/ROW]
[ROW][C]0.39[/C][C]5.19761385570302[/C][C]0.0380216143183972[/C][/ROW]
[ROW][C]0.4[/C][C]5.20436175755891[/C][C]0.0414831462451793[/C][/ROW]
[ROW][C]0.41[/C][C]5.211653633419[/C][C]0.0452431064772021[/C][/ROW]
[ROW][C]0.42[/C][C]5.21954561350342[/C][C]0.0491742915658014[/C][/ROW]
[ROW][C]0.43[/C][C]5.22807374715101[/C][C]0.0531656959298489[/C][/ROW]
[ROW][C]0.44[/C][C]5.23725660403739[/C][C]0.0571551981568219[/C][/ROW]
[ROW][C]0.45[/C][C]5.24709843262783[/C][C]0.0610826896052616[/C][/ROW]
[ROW][C]0.46[/C][C]5.25759204313737[/C][C]0.0649303495964018[/C][/ROW]
[ROW][C]0.47[/C][C]5.2687208005355[/C][C]0.068664353107629[/C][/ROW]
[ROW][C]0.48[/C][C]5.28045943815213[/C][C]0.0722406917911962[/C][/ROW]
[ROW][C]0.49[/C][C]5.29277375709505[/C][C]0.0756099981850648[/C][/ROW]
[ROW][C]0.5[/C][C]5.30561957678065[/C][C]0.0786987062188455[/C][/ROW]
[ROW][C]0.51[/C][C]5.3189414775024[/C][C]0.0814157360189998[/C][/ROW]
[ROW][C]0.52[/C][C]5.33267189076463[/C][C]0.0836627700066923[/C][/ROW]
[ROW][C]0.53[/C][C]5.34673095513909[/C][C]0.0853611388891535[/C][/ROW]
[ROW][C]0.54[/C][C]5.36102731535408[/C][C]0.0864332829634209[/C][/ROW]
[ROW][C]0.55[/C][C]5.37545977890014[/C][C]0.0868240782793996[/C][/ROW]
[ROW][C]0.56[/C][C]5.38991954072108[/C][C]0.0865204891220906[/C][/ROW]
[ROW][C]0.57[/C][C]5.40429260457183[/C][C]0.0855076095741845[/C][/ROW]
[ROW][C]0.58[/C][C]5.4184620910388[/C][C]0.0838063397881534[/C][/ROW]
[ROW][C]0.59[/C][C]5.43231030163096[/C][C]0.0814295042564003[/C][/ROW]
[ROW][C]0.6[/C][C]5.44572064148225[/C][C]0.0784059385409756[/C][/ROW]
[ROW][C]0.61[/C][C]5.45857970766326[/C][C]0.0747545611843036[/C][/ROW]
[ROW][C]0.62[/C][C]5.47077995207212[/C][C]0.0705172571462035[/C][/ROW]
[ROW][C]0.63[/C][C]5.48222328615722[/C][C]0.0657401042402512[/C][/ROW]
[ROW][C]0.64[/C][C]5.49282581415461[/C][C]0.0605001734236265[/C][/ROW]
[ROW][C]0.65[/C][C]5.50252361130957[/C][C]0.0549104177509907[/C][/ROW]
[ROW][C]0.66[/C][C]5.51127918090165[/C][C]0.0491136005616303[/C][/ROW]
[ROW][C]0.67[/C][C]5.51908800809605[/C][C]0.0432933815321145[/C][/ROW]
[ROW][C]0.68[/C][C]5.52598453401647[/C][C]0.0376608682600941[/C][/ROW]
[ROW][C]0.69[/C][C]5.5320469100066[/C][C]0.0324590671918402[/C][/ROW]
[ROW][C]0.7[/C][C]5.53740002080045[/C][C]0.0279397698733386[/C][/ROW]
[ROW][C]0.71[/C][C]5.54221641061275[/C][C]0.0243875438471333[/C][/ROW]
[ROW][C]0.72[/C][C]5.54671482308192[/C][C]0.0221137954046795[/C][/ROW]
[ROW][C]0.73[/C][C]5.55115601596015[/C][C]0.0214448531340814[/C][/ROW]
[ROW][C]0.74[/C][C]5.55583533604231[/C][C]0.022611359754797[/C][/ROW]
[ROW][C]0.75[/C][C]5.56107132159005[/C][C]0.0256495396263864[/C][/ROW]
[ROW][C]0.76[/C][C]5.56718949874198[/C][C]0.030411381735746[/C][/ROW]
[ROW][C]0.77[/C][C]5.57450075857662[/C][C]0.0366422275317895[/C][/ROW]
[ROW][C]0.78[/C][C]5.58327442248788[/C][C]0.0439973175181511[/C][/ROW]
[ROW][C]0.79[/C][C]5.59370739278755[/C][C]0.0520131846541341[/C][/ROW]
[ROW][C]0.8[/C][C]5.60589251067727[/C][C]0.060104039141151[/C][/ROW]
[ROW][C]0.81[/C][C]5.61979102307845[/C][C]0.0675864497204627[/C][/ROW]
[ROW][C]0.82[/C][C]5.63521528953895[/C][C]0.0737275276707673[/C][/ROW]
[ROW][C]0.83[/C][C]5.65182784858105[/C][C]0.0778292908494247[/C][/ROW]
[ROW][C]0.84[/C][C]5.6691611656126[/C][C]0.0793637102729348[/C][/ROW]
[ROW][C]0.85[/C][C]5.68665869411456[/C][C]0.0780493195615173[/C][/ROW]
[ROW][C]0.86[/C][C]5.70373286390175[/C][C]0.0739294710481364[/C][/ROW]
[ROW][C]0.87[/C][C]5.71983055832061[/C][C]0.0673809771084617[/C][/ROW]
[ROW][C]0.88[/C][C]5.734493331706[/C][C]0.0590639354780374[/C][/ROW]
[ROW][C]0.89[/C][C]5.74739972474818[/C][C]0.0498006719661548[/C][/ROW]
[ROW][C]0.9[/C][C]5.75838133253131[/C][C]0.0404120993631731[/C][/ROW]
[ROW][C]0.91[/C][C]5.76741192563602[/C][C]0.0315842255749798[/C][/ROW]
[ROW][C]0.92[/C][C]5.77457728303613[/C][C]0.0237596675963194[/C][/ROW]
[ROW][C]0.93[/C][C]5.7800388000047[/C][C]0.0171279765667482[/C][/ROW]
[ROW][C]0.94[/C][C]5.78400341664277[/C][C]0.011698206923349[/C][/ROW]
[ROW][C]0.95[/C][C]5.78670573338393[/C][C]0.00741001345522368[/C][/ROW]
[ROW][C]0.96[/C][C]5.7883988332086[/C][C]0.00420679806130604[/C][/ROW]
[ROW][C]0.97[/C][C]5.78934422452305[/C][C]0.00202927150287878[/C][/ROW]
[ROW][C]0.98[/C][C]5.78979308445878[/C][C]0.000757179487555366[/C][/ROW]
[ROW][C]0.99[/C][C]5.78995999941112[/C][C]0.000173532624450836[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163154&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
0.014.934040078248690.0159851932326363
0.024.939511831708340.0113483322701614
0.034.944692275352990.00795051067271871
0.044.94903143230020.00729933722621023
0.054.952893418618480.00946724908740473
0.064.956944554393190.0134640803877222
0.074.961763493402880.018602104453981
0.084.967709988917090.0243727930708071
0.094.974921683810710.0302030644905032
0.14.983345913212970.0354762726119814
0.114.992777319736520.039618658577932
0.125.002902046323830.042233158697525
0.135.013351304300410.0431790982363202
0.145.023759724500750.0425770342541036
0.155.033818566175430.0407892769217553
0.165.04331387006260.0383152963895189
0.175.052143701418840.0357169660313721
0.185.060314059564150.033500981589462
0.195.06791760594490.0320569470251271
0.25.075101964483740.03157646726141
0.215.082034882185380.0320336494586336
0.225.088872525045450.0332041785943189
0.235.095735331582020.0347707835732778
0.245.102693764048820.0363794671613036
0.255.109764387742690.037725673008385
0.265.11691517860130.0385718461803253
0.275.124077885542780.0387822828374203
0.285.131164666832560.0383259646035149
0.295.138086057033380.0372722845365541
0.35.144767555941920.0357705224870599
0.315.151162687027890.0340498980771759
0.325.157261143075990.0323704307056109
0.335.163091492789130.0310082900762378
0.345.168718734588480.0302068660747289
0.355.174237644208170.0301572743947256
0.365.179763299699330.030963010008476
0.375.185420353168010.0326093050573146
0.385.1913325641910.0350119607264467
0.395.197613855703020.0380216143183972
0.45.204361757558910.0414831462451793
0.415.2116536334190.0452431064772021
0.425.219545613503420.0491742915658014
0.435.228073747151010.0531656959298489
0.445.237256604037390.0571551981568219
0.455.247098432627830.0610826896052616
0.465.257592043137370.0649303495964018
0.475.26872080053550.068664353107629
0.485.280459438152130.0722406917911962
0.495.292773757095050.0756099981850648
0.55.305619576780650.0786987062188455
0.515.31894147750240.0814157360189998
0.525.332671890764630.0836627700066923
0.535.346730955139090.0853611388891535
0.545.361027315354080.0864332829634209
0.555.375459778900140.0868240782793996
0.565.389919540721080.0865204891220906
0.575.404292604571830.0855076095741845
0.585.41846209103880.0838063397881534
0.595.432310301630960.0814295042564003
0.65.445720641482250.0784059385409756
0.615.458579707663260.0747545611843036
0.625.470779952072120.0705172571462035
0.635.482223286157220.0657401042402512
0.645.492825814154610.0605001734236265
0.655.502523611309570.0549104177509907
0.665.511279180901650.0491136005616303
0.675.519088008096050.0432933815321145
0.685.525984534016470.0376608682600941
0.695.53204691000660.0324590671918402
0.75.537400020800450.0279397698733386
0.715.542216410612750.0243875438471333
0.725.546714823081920.0221137954046795
0.735.551156015960150.0214448531340814
0.745.555835336042310.022611359754797
0.755.561071321590050.0256495396263864
0.765.567189498741980.030411381735746
0.775.574500758576620.0366422275317895
0.785.583274422487880.0439973175181511
0.795.593707392787550.0520131846541341
0.85.605892510677270.060104039141151
0.815.619791023078450.0675864497204627
0.825.635215289538950.0737275276707673
0.835.651827848581050.0778292908494247
0.845.66916116561260.0793637102729348
0.855.686658694114560.0780493195615173
0.865.703732863901750.0739294710481364
0.875.719830558320610.0673809771084617
0.885.7344933317060.0590639354780374
0.895.747399724748180.0498006719661548
0.95.758381332531310.0404120993631731
0.915.767411925636020.0315842255749798
0.925.774577283036130.0237596675963194
0.935.78003880000470.0171279765667482
0.945.784003416642770.011698206923349
0.955.786705733383930.00741001345522368
0.965.78839883320860.00420679806130604
0.975.789344224523050.00202927150287878
0.985.789793084458780.000757179487555366
0.995.789959999411120.000173532624450836


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')