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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, 15 Oct 2012 08:01:25 -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/2012/Oct/15/t1350302635fvc4ocd6608xh28.htm/, Retrieved Wed, 08 May 2024 01:55:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=176778, Retrieved Wed, 08 May 2024 01:55:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact54

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] [pecentielen prijs...] [2012-10-15 12:01:25] [81048bae71988e8f0b979655b8024c85] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.08
2.09
2.36
2.99
2.75
1.58
1.69
1.3
1.97
1.84
1.96
1.86
2.75
2.62
2.41
3.61
2.03
1.45
1.4
1.3
1.58
2.1
2.27
2.54
2.55
2.05
2.32
2.6
2.1
1.61
1.55
1.12
1.39
2.18
1.94
2.27
2.41
2.2
2.58
2.9
2.12
1.34
1.07
0.86
1
1.54
1.29
1.44
2.6
2.77
3.31
3.2
2.07
1.42
1.43
1.28
1.59
1.68
2.01
2.52
2.74
3.06
2.69
2.32
1.67
1.04
0.98
0.86
0.97
1.3
1.82
1.99

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=176778&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=176778&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176778&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
0.010.8692391284357560.0272878888990666
0.020.8898069455654380.0530386574560983
0.030.9181830454480740.0634916705700744
0.040.9490505128651450.0638881929047498
0.050.9792600329065610.0650439499733124
0.061.008504878866910.0722275036256908
0.071.037923349125880.0839214525009362
0.081.068584763550030.0963221056438022
0.091.100742993982780.106117234584728
0.11.133807289395810.111212795087683
0.111.166682709194350.110925641700892
0.121.198190003757860.105913599449582
0.131.22740062197490.0977958399908274
0.141.253818195599990.0886076723125178
0.151.277402418393050.0802142782169695
0.161.298474414600280.0738832025119122
0.171.317563992102270.0700651950230135
0.181.335257413398720.0685041554033886
0.191.352085251702080.0685844524055839
0.21.368464577785930.0696839281387299
0.211.384688661864910.0713639616074856
0.221.400946276001570.0733837745633451
0.231.417351701270670.0756318893253618
0.241.433972165954280.0780478277374428
0.251.450847122238910.0805624424172361
0.261.467999953743140.0831035214590341
0.271.485445712168230.0856095862721194
0.281.503198392997020.0880792673691279
0.291.521279264005060.0905906531375505
0.31.539725354205050.0932909730811796
0.311.558595585405280.0963793879487079
0.321.577971753413210.100037554429988
0.331.597952574698690.104378345078179
0.341.618640797488980.109389293066818
0.351.640125257985440.11491059313456
0.361.662461151788210.12065336821892
0.371.68565233887530.126240936088922
0.381.709639145227470.131242173396427
0.391.734294042250890.135242673979196
0.41.759426095322270.137894858769561
0.411.78479353051180.138954283559427
0.421.810122481629360.138300186311329
0.431.835129157250010.135957556394928
0.441.8595424005650.132067929848381
0.451.883123882343890.126882822535657
0.461.905683855637870.120730030621775
0.471.927091334991750.113969510059503
0.481.947278541458550.106973678290941
0.491.966240287295930.100089950642939
0.51.984029516560610.0936234663982428
0.512.000750398590910.0878451395030639
0.522.016550205456290.0829631869333852
0.532.031610788099350.0791568062016501
0.542.046139953029460.0765539541381118
0.552.060362604815110.075243996116887
0.562.07451130499210.0752628636415249
0.572.088815982312320.0765701706225296
0.582.103492894705290.0790484018350856
0.592.118733476041450.0825000833583577
0.62.13469421737050.0866641450114855
0.612.151489029934680.0912354101051111
0.622.169185455561580.0959112075494347
0.632.187805567928850.100423133563835
0.642.207331517853860.104551075657391
0.652.227714620579820.108168342459023
0.662.248885955062320.111218866633444
0.672.270765949377460.11371439689872
0.682.293270588908990.115700807103966
0.692.316312770542470.11721946194743
0.72.339798793815970.118259580769895
0.712.363621682964970.118752263807192
0.722.387654488680810.118571851892529
0.732.411747421294460.11755301706983
0.742.435732239023460.115566236035258
0.752.459435642400160.112556537548372
0.762.482700760350830.108613892273153
0.772.505412795567920.103978664241598
0.782.527522481803950.0990473203358869
0.792.549060268771140.0942969988794564
0.82.570135968891560.090195949414294
0.812.590923232688160.0870751571941462
0.822.61163486447320.0850392338826523
0.832.632501511258260.0839532232315511
0.842.653769379183290.0835685296536486
0.852.675728924005380.0837580536251373
0.862.698774230867910.0847384742255343
0.872.723474392126290.0871921885313433
0.882.750621378313830.0920889691650215
0.892.781215317254040.100162036807614
0.92.81636744890140.111288627436048
0.912.857142759035830.124269274676063
0.922.904413989192380.137220671911351
0.932.958838966588430.148319968313013
0.943.021104014727340.156510614842425
0.953.0925864926490.161912762439155
0.963.17635932902150.166520075146355
0.973.277276052291690.176538821639531
0.983.397294227448480.203692919694365
0.993.522143599190280.251784986191081

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.869239128435756 & 0.0272878888990666 \tabularnewline
0.02 & 0.889806945565438 & 0.0530386574560983 \tabularnewline
0.03 & 0.918183045448074 & 0.0634916705700744 \tabularnewline
0.04 & 0.949050512865145 & 0.0638881929047498 \tabularnewline
0.05 & 0.979260032906561 & 0.0650439499733124 \tabularnewline
0.06 & 1.00850487886691 & 0.0722275036256908 \tabularnewline
0.07 & 1.03792334912588 & 0.0839214525009362 \tabularnewline
0.08 & 1.06858476355003 & 0.0963221056438022 \tabularnewline
0.09 & 1.10074299398278 & 0.106117234584728 \tabularnewline
0.1 & 1.13380728939581 & 0.111212795087683 \tabularnewline
0.11 & 1.16668270919435 & 0.110925641700892 \tabularnewline
0.12 & 1.19819000375786 & 0.105913599449582 \tabularnewline
0.13 & 1.2274006219749 & 0.0977958399908274 \tabularnewline
0.14 & 1.25381819559999 & 0.0886076723125178 \tabularnewline
0.15 & 1.27740241839305 & 0.0802142782169695 \tabularnewline
0.16 & 1.29847441460028 & 0.0738832025119122 \tabularnewline
0.17 & 1.31756399210227 & 0.0700651950230135 \tabularnewline
0.18 & 1.33525741339872 & 0.0685041554033886 \tabularnewline
0.19 & 1.35208525170208 & 0.0685844524055839 \tabularnewline
0.2 & 1.36846457778593 & 0.0696839281387299 \tabularnewline
0.21 & 1.38468866186491 & 0.0713639616074856 \tabularnewline
0.22 & 1.40094627600157 & 0.0733837745633451 \tabularnewline
0.23 & 1.41735170127067 & 0.0756318893253618 \tabularnewline
0.24 & 1.43397216595428 & 0.0780478277374428 \tabularnewline
0.25 & 1.45084712223891 & 0.0805624424172361 \tabularnewline
0.26 & 1.46799995374314 & 0.0831035214590341 \tabularnewline
0.27 & 1.48544571216823 & 0.0856095862721194 \tabularnewline
0.28 & 1.50319839299702 & 0.0880792673691279 \tabularnewline
0.29 & 1.52127926400506 & 0.0905906531375505 \tabularnewline
0.3 & 1.53972535420505 & 0.0932909730811796 \tabularnewline
0.31 & 1.55859558540528 & 0.0963793879487079 \tabularnewline
0.32 & 1.57797175341321 & 0.100037554429988 \tabularnewline
0.33 & 1.59795257469869 & 0.104378345078179 \tabularnewline
0.34 & 1.61864079748898 & 0.109389293066818 \tabularnewline
0.35 & 1.64012525798544 & 0.11491059313456 \tabularnewline
0.36 & 1.66246115178821 & 0.12065336821892 \tabularnewline
0.37 & 1.6856523388753 & 0.126240936088922 \tabularnewline
0.38 & 1.70963914522747 & 0.131242173396427 \tabularnewline
0.39 & 1.73429404225089 & 0.135242673979196 \tabularnewline
0.4 & 1.75942609532227 & 0.137894858769561 \tabularnewline
0.41 & 1.7847935305118 & 0.138954283559427 \tabularnewline
0.42 & 1.81012248162936 & 0.138300186311329 \tabularnewline
0.43 & 1.83512915725001 & 0.135957556394928 \tabularnewline
0.44 & 1.859542400565 & 0.132067929848381 \tabularnewline
0.45 & 1.88312388234389 & 0.126882822535657 \tabularnewline
0.46 & 1.90568385563787 & 0.120730030621775 \tabularnewline
0.47 & 1.92709133499175 & 0.113969510059503 \tabularnewline
0.48 & 1.94727854145855 & 0.106973678290941 \tabularnewline
0.49 & 1.96624028729593 & 0.100089950642939 \tabularnewline
0.5 & 1.98402951656061 & 0.0936234663982428 \tabularnewline
0.51 & 2.00075039859091 & 0.0878451395030639 \tabularnewline
0.52 & 2.01655020545629 & 0.0829631869333852 \tabularnewline
0.53 & 2.03161078809935 & 0.0791568062016501 \tabularnewline
0.54 & 2.04613995302946 & 0.0765539541381118 \tabularnewline
0.55 & 2.06036260481511 & 0.075243996116887 \tabularnewline
0.56 & 2.0745113049921 & 0.0752628636415249 \tabularnewline
0.57 & 2.08881598231232 & 0.0765701706225296 \tabularnewline
0.58 & 2.10349289470529 & 0.0790484018350856 \tabularnewline
0.59 & 2.11873347604145 & 0.0825000833583577 \tabularnewline
0.6 & 2.1346942173705 & 0.0866641450114855 \tabularnewline
0.61 & 2.15148902993468 & 0.0912354101051111 \tabularnewline
0.62 & 2.16918545556158 & 0.0959112075494347 \tabularnewline
0.63 & 2.18780556792885 & 0.100423133563835 \tabularnewline
0.64 & 2.20733151785386 & 0.104551075657391 \tabularnewline
0.65 & 2.22771462057982 & 0.108168342459023 \tabularnewline
0.66 & 2.24888595506232 & 0.111218866633444 \tabularnewline
0.67 & 2.27076594937746 & 0.11371439689872 \tabularnewline
0.68 & 2.29327058890899 & 0.115700807103966 \tabularnewline
0.69 & 2.31631277054247 & 0.11721946194743 \tabularnewline
0.7 & 2.33979879381597 & 0.118259580769895 \tabularnewline
0.71 & 2.36362168296497 & 0.118752263807192 \tabularnewline
0.72 & 2.38765448868081 & 0.118571851892529 \tabularnewline
0.73 & 2.41174742129446 & 0.11755301706983 \tabularnewline
0.74 & 2.43573223902346 & 0.115566236035258 \tabularnewline
0.75 & 2.45943564240016 & 0.112556537548372 \tabularnewline
0.76 & 2.48270076035083 & 0.108613892273153 \tabularnewline
0.77 & 2.50541279556792 & 0.103978664241598 \tabularnewline
0.78 & 2.52752248180395 & 0.0990473203358869 \tabularnewline
0.79 & 2.54906026877114 & 0.0942969988794564 \tabularnewline
0.8 & 2.57013596889156 & 0.090195949414294 \tabularnewline
0.81 & 2.59092323268816 & 0.0870751571941462 \tabularnewline
0.82 & 2.6116348644732 & 0.0850392338826523 \tabularnewline
0.83 & 2.63250151125826 & 0.0839532232315511 \tabularnewline
0.84 & 2.65376937918329 & 0.0835685296536486 \tabularnewline
0.85 & 2.67572892400538 & 0.0837580536251373 \tabularnewline
0.86 & 2.69877423086791 & 0.0847384742255343 \tabularnewline
0.87 & 2.72347439212629 & 0.0871921885313433 \tabularnewline
0.88 & 2.75062137831383 & 0.0920889691650215 \tabularnewline
0.89 & 2.78121531725404 & 0.100162036807614 \tabularnewline
0.9 & 2.8163674489014 & 0.111288627436048 \tabularnewline
0.91 & 2.85714275903583 & 0.124269274676063 \tabularnewline
0.92 & 2.90441398919238 & 0.137220671911351 \tabularnewline
0.93 & 2.95883896658843 & 0.148319968313013 \tabularnewline
0.94 & 3.02110401472734 & 0.156510614842425 \tabularnewline
0.95 & 3.092586492649 & 0.161912762439155 \tabularnewline
0.96 & 3.1763593290215 & 0.166520075146355 \tabularnewline
0.97 & 3.27727605229169 & 0.176538821639531 \tabularnewline
0.98 & 3.39729422744848 & 0.203692919694365 \tabularnewline
0.99 & 3.52214359919028 & 0.251784986191081 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=176778&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]0.869239128435756[/C][C]0.0272878888990666[/C][/ROW]
[ROW][C]0.02[/C][C]0.889806945565438[/C][C]0.0530386574560983[/C][/ROW]
[ROW][C]0.03[/C][C]0.918183045448074[/C][C]0.0634916705700744[/C][/ROW]
[ROW][C]0.04[/C][C]0.949050512865145[/C][C]0.0638881929047498[/C][/ROW]
[ROW][C]0.05[/C][C]0.979260032906561[/C][C]0.0650439499733124[/C][/ROW]
[ROW][C]0.06[/C][C]1.00850487886691[/C][C]0.0722275036256908[/C][/ROW]
[ROW][C]0.07[/C][C]1.03792334912588[/C][C]0.0839214525009362[/C][/ROW]
[ROW][C]0.08[/C][C]1.06858476355003[/C][C]0.0963221056438022[/C][/ROW]
[ROW][C]0.09[/C][C]1.10074299398278[/C][C]0.106117234584728[/C][/ROW]
[ROW][C]0.1[/C][C]1.13380728939581[/C][C]0.111212795087683[/C][/ROW]
[ROW][C]0.11[/C][C]1.16668270919435[/C][C]0.110925641700892[/C][/ROW]
[ROW][C]0.12[/C][C]1.19819000375786[/C][C]0.105913599449582[/C][/ROW]
[ROW][C]0.13[/C][C]1.2274006219749[/C][C]0.0977958399908274[/C][/ROW]
[ROW][C]0.14[/C][C]1.25381819559999[/C][C]0.0886076723125178[/C][/ROW]
[ROW][C]0.15[/C][C]1.27740241839305[/C][C]0.0802142782169695[/C][/ROW]
[ROW][C]0.16[/C][C]1.29847441460028[/C][C]0.0738832025119122[/C][/ROW]
[ROW][C]0.17[/C][C]1.31756399210227[/C][C]0.0700651950230135[/C][/ROW]
[ROW][C]0.18[/C][C]1.33525741339872[/C][C]0.0685041554033886[/C][/ROW]
[ROW][C]0.19[/C][C]1.35208525170208[/C][C]0.0685844524055839[/C][/ROW]
[ROW][C]0.2[/C][C]1.36846457778593[/C][C]0.0696839281387299[/C][/ROW]
[ROW][C]0.21[/C][C]1.38468866186491[/C][C]0.0713639616074856[/C][/ROW]
[ROW][C]0.22[/C][C]1.40094627600157[/C][C]0.0733837745633451[/C][/ROW]
[ROW][C]0.23[/C][C]1.41735170127067[/C][C]0.0756318893253618[/C][/ROW]
[ROW][C]0.24[/C][C]1.43397216595428[/C][C]0.0780478277374428[/C][/ROW]
[ROW][C]0.25[/C][C]1.45084712223891[/C][C]0.0805624424172361[/C][/ROW]
[ROW][C]0.26[/C][C]1.46799995374314[/C][C]0.0831035214590341[/C][/ROW]
[ROW][C]0.27[/C][C]1.48544571216823[/C][C]0.0856095862721194[/C][/ROW]
[ROW][C]0.28[/C][C]1.50319839299702[/C][C]0.0880792673691279[/C][/ROW]
[ROW][C]0.29[/C][C]1.52127926400506[/C][C]0.0905906531375505[/C][/ROW]
[ROW][C]0.3[/C][C]1.53972535420505[/C][C]0.0932909730811796[/C][/ROW]
[ROW][C]0.31[/C][C]1.55859558540528[/C][C]0.0963793879487079[/C][/ROW]
[ROW][C]0.32[/C][C]1.57797175341321[/C][C]0.100037554429988[/C][/ROW]
[ROW][C]0.33[/C][C]1.59795257469869[/C][C]0.104378345078179[/C][/ROW]
[ROW][C]0.34[/C][C]1.61864079748898[/C][C]0.109389293066818[/C][/ROW]
[ROW][C]0.35[/C][C]1.64012525798544[/C][C]0.11491059313456[/C][/ROW]
[ROW][C]0.36[/C][C]1.66246115178821[/C][C]0.12065336821892[/C][/ROW]
[ROW][C]0.37[/C][C]1.6856523388753[/C][C]0.126240936088922[/C][/ROW]
[ROW][C]0.38[/C][C]1.70963914522747[/C][C]0.131242173396427[/C][/ROW]
[ROW][C]0.39[/C][C]1.73429404225089[/C][C]0.135242673979196[/C][/ROW]
[ROW][C]0.4[/C][C]1.75942609532227[/C][C]0.137894858769561[/C][/ROW]
[ROW][C]0.41[/C][C]1.7847935305118[/C][C]0.138954283559427[/C][/ROW]
[ROW][C]0.42[/C][C]1.81012248162936[/C][C]0.138300186311329[/C][/ROW]
[ROW][C]0.43[/C][C]1.83512915725001[/C][C]0.135957556394928[/C][/ROW]
[ROW][C]0.44[/C][C]1.859542400565[/C][C]0.132067929848381[/C][/ROW]
[ROW][C]0.45[/C][C]1.88312388234389[/C][C]0.126882822535657[/C][/ROW]
[ROW][C]0.46[/C][C]1.90568385563787[/C][C]0.120730030621775[/C][/ROW]
[ROW][C]0.47[/C][C]1.92709133499175[/C][C]0.113969510059503[/C][/ROW]
[ROW][C]0.48[/C][C]1.94727854145855[/C][C]0.106973678290941[/C][/ROW]
[ROW][C]0.49[/C][C]1.96624028729593[/C][C]0.100089950642939[/C][/ROW]
[ROW][C]0.5[/C][C]1.98402951656061[/C][C]0.0936234663982428[/C][/ROW]
[ROW][C]0.51[/C][C]2.00075039859091[/C][C]0.0878451395030639[/C][/ROW]
[ROW][C]0.52[/C][C]2.01655020545629[/C][C]0.0829631869333852[/C][/ROW]
[ROW][C]0.53[/C][C]2.03161078809935[/C][C]0.0791568062016501[/C][/ROW]
[ROW][C]0.54[/C][C]2.04613995302946[/C][C]0.0765539541381118[/C][/ROW]
[ROW][C]0.55[/C][C]2.06036260481511[/C][C]0.075243996116887[/C][/ROW]
[ROW][C]0.56[/C][C]2.0745113049921[/C][C]0.0752628636415249[/C][/ROW]
[ROW][C]0.57[/C][C]2.08881598231232[/C][C]0.0765701706225296[/C][/ROW]
[ROW][C]0.58[/C][C]2.10349289470529[/C][C]0.0790484018350856[/C][/ROW]
[ROW][C]0.59[/C][C]2.11873347604145[/C][C]0.0825000833583577[/C][/ROW]
[ROW][C]0.6[/C][C]2.1346942173705[/C][C]0.0866641450114855[/C][/ROW]
[ROW][C]0.61[/C][C]2.15148902993468[/C][C]0.0912354101051111[/C][/ROW]
[ROW][C]0.62[/C][C]2.16918545556158[/C][C]0.0959112075494347[/C][/ROW]
[ROW][C]0.63[/C][C]2.18780556792885[/C][C]0.100423133563835[/C][/ROW]
[ROW][C]0.64[/C][C]2.20733151785386[/C][C]0.104551075657391[/C][/ROW]
[ROW][C]0.65[/C][C]2.22771462057982[/C][C]0.108168342459023[/C][/ROW]
[ROW][C]0.66[/C][C]2.24888595506232[/C][C]0.111218866633444[/C][/ROW]
[ROW][C]0.67[/C][C]2.27076594937746[/C][C]0.11371439689872[/C][/ROW]
[ROW][C]0.68[/C][C]2.29327058890899[/C][C]0.115700807103966[/C][/ROW]
[ROW][C]0.69[/C][C]2.31631277054247[/C][C]0.11721946194743[/C][/ROW]
[ROW][C]0.7[/C][C]2.33979879381597[/C][C]0.118259580769895[/C][/ROW]
[ROW][C]0.71[/C][C]2.36362168296497[/C][C]0.118752263807192[/C][/ROW]
[ROW][C]0.72[/C][C]2.38765448868081[/C][C]0.118571851892529[/C][/ROW]
[ROW][C]0.73[/C][C]2.41174742129446[/C][C]0.11755301706983[/C][/ROW]
[ROW][C]0.74[/C][C]2.43573223902346[/C][C]0.115566236035258[/C][/ROW]
[ROW][C]0.75[/C][C]2.45943564240016[/C][C]0.112556537548372[/C][/ROW]
[ROW][C]0.76[/C][C]2.48270076035083[/C][C]0.108613892273153[/C][/ROW]
[ROW][C]0.77[/C][C]2.50541279556792[/C][C]0.103978664241598[/C][/ROW]
[ROW][C]0.78[/C][C]2.52752248180395[/C][C]0.0990473203358869[/C][/ROW]
[ROW][C]0.79[/C][C]2.54906026877114[/C][C]0.0942969988794564[/C][/ROW]
[ROW][C]0.8[/C][C]2.57013596889156[/C][C]0.090195949414294[/C][/ROW]
[ROW][C]0.81[/C][C]2.59092323268816[/C][C]0.0870751571941462[/C][/ROW]
[ROW][C]0.82[/C][C]2.6116348644732[/C][C]0.0850392338826523[/C][/ROW]
[ROW][C]0.83[/C][C]2.63250151125826[/C][C]0.0839532232315511[/C][/ROW]
[ROW][C]0.84[/C][C]2.65376937918329[/C][C]0.0835685296536486[/C][/ROW]
[ROW][C]0.85[/C][C]2.67572892400538[/C][C]0.0837580536251373[/C][/ROW]
[ROW][C]0.86[/C][C]2.69877423086791[/C][C]0.0847384742255343[/C][/ROW]
[ROW][C]0.87[/C][C]2.72347439212629[/C][C]0.0871921885313433[/C][/ROW]
[ROW][C]0.88[/C][C]2.75062137831383[/C][C]0.0920889691650215[/C][/ROW]
[ROW][C]0.89[/C][C]2.78121531725404[/C][C]0.100162036807614[/C][/ROW]
[ROW][C]0.9[/C][C]2.8163674489014[/C][C]0.111288627436048[/C][/ROW]
[ROW][C]0.91[/C][C]2.85714275903583[/C][C]0.124269274676063[/C][/ROW]
[ROW][C]0.92[/C][C]2.90441398919238[/C][C]0.137220671911351[/C][/ROW]
[ROW][C]0.93[/C][C]2.95883896658843[/C][C]0.148319968313013[/C][/ROW]
[ROW][C]0.94[/C][C]3.02110401472734[/C][C]0.156510614842425[/C][/ROW]
[ROW][C]0.95[/C][C]3.092586492649[/C][C]0.161912762439155[/C][/ROW]
[ROW][C]0.96[/C][C]3.1763593290215[/C][C]0.166520075146355[/C][/ROW]
[ROW][C]0.97[/C][C]3.27727605229169[/C][C]0.176538821639531[/C][/ROW]
[ROW][C]0.98[/C][C]3.39729422744848[/C][C]0.203692919694365[/C][/ROW]
[ROW][C]0.99[/C][C]3.52214359919028[/C][C]0.251784986191081[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=176778&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=176778&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
0.010.8692391284357560.0272878888990666
0.020.8898069455654380.0530386574560983
0.030.9181830454480740.0634916705700744
0.040.9490505128651450.0638881929047498
0.050.9792600329065610.0650439499733124
0.061.008504878866910.0722275036256908
0.071.037923349125880.0839214525009362
0.081.068584763550030.0963221056438022
0.091.100742993982780.106117234584728
0.11.133807289395810.111212795087683
0.111.166682709194350.110925641700892
0.121.198190003757860.105913599449582
0.131.22740062197490.0977958399908274
0.141.253818195599990.0886076723125178
0.151.277402418393050.0802142782169695
0.161.298474414600280.0738832025119122
0.171.317563992102270.0700651950230135
0.181.335257413398720.0685041554033886
0.191.352085251702080.0685844524055839
0.21.368464577785930.0696839281387299
0.211.384688661864910.0713639616074856
0.221.400946276001570.0733837745633451
0.231.417351701270670.0756318893253618
0.241.433972165954280.0780478277374428
0.251.450847122238910.0805624424172361
0.261.467999953743140.0831035214590341
0.271.485445712168230.0856095862721194
0.281.503198392997020.0880792673691279
0.291.521279264005060.0905906531375505
0.31.539725354205050.0932909730811796
0.311.558595585405280.0963793879487079
0.321.577971753413210.100037554429988
0.331.597952574698690.104378345078179
0.341.618640797488980.109389293066818
0.351.640125257985440.11491059313456
0.361.662461151788210.12065336821892
0.371.68565233887530.126240936088922
0.381.709639145227470.131242173396427
0.391.734294042250890.135242673979196
0.41.759426095322270.137894858769561
0.411.78479353051180.138954283559427
0.421.810122481629360.138300186311329
0.431.835129157250010.135957556394928
0.441.8595424005650.132067929848381
0.451.883123882343890.126882822535657
0.461.905683855637870.120730030621775
0.471.927091334991750.113969510059503
0.481.947278541458550.106973678290941
0.491.966240287295930.100089950642939
0.51.984029516560610.0936234663982428
0.512.000750398590910.0878451395030639
0.522.016550205456290.0829631869333852
0.532.031610788099350.0791568062016501
0.542.046139953029460.0765539541381118
0.552.060362604815110.075243996116887
0.562.07451130499210.0752628636415249
0.572.088815982312320.0765701706225296
0.582.103492894705290.0790484018350856
0.592.118733476041450.0825000833583577
0.62.13469421737050.0866641450114855
0.612.151489029934680.0912354101051111
0.622.169185455561580.0959112075494347
0.632.187805567928850.100423133563835
0.642.207331517853860.104551075657391
0.652.227714620579820.108168342459023
0.662.248885955062320.111218866633444
0.672.270765949377460.11371439689872
0.682.293270588908990.115700807103966
0.692.316312770542470.11721946194743
0.72.339798793815970.118259580769895
0.712.363621682964970.118752263807192
0.722.387654488680810.118571851892529
0.732.411747421294460.11755301706983
0.742.435732239023460.115566236035258
0.752.459435642400160.112556537548372
0.762.482700760350830.108613892273153
0.772.505412795567920.103978664241598
0.782.527522481803950.0990473203358869
0.792.549060268771140.0942969988794564
0.82.570135968891560.090195949414294
0.812.590923232688160.0870751571941462
0.822.61163486447320.0850392338826523
0.832.632501511258260.0839532232315511
0.842.653769379183290.0835685296536486
0.852.675728924005380.0837580536251373
0.862.698774230867910.0847384742255343
0.872.723474392126290.0871921885313433
0.882.750621378313830.0920889691650215
0.892.781215317254040.100162036807614
0.92.81636744890140.111288627436048
0.912.857142759035830.124269274676063
0.922.904413989192380.137220671911351
0.932.958838966588430.148319968313013
0.943.021104014727340.156510614842425
0.953.0925864926490.161912762439155
0.963.17635932902150.166520075146355
0.973.277276052291690.176538821639531
0.983.397294227448480.203692919694365
0.993.522143599190280.251784986191081


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')