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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 computationWed, 21 Oct 2009 08:01:10 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/21/t125613397408tnrej3k7cnpzg.htm/, Retrieved Thu, 02 May 2024 11:42:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49359, Retrieved Thu, 02 May 2024 11:42:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact74

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] [] [2009-10-21 14:01:10] [58d9ccda37eeb031a0ffa1e9ea016ece] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4,26
4,26
4,07
4,26
4,4
4,46
4,34
4,18
4,11
3,98
3,85
3,66
3,59
3,57
3,76
3,6
3,43
3,26
3,3
3,31
3,14
3,3
3,49
3,39
3,37
3,54
3,7
3,96
4,03
4,02
4,04
3,92
3,79
3,83
3,76
3,82
4,06
4,11
4,01
4,22
4,34
4,64
4,62
4,44
4,39
4,42
4,28
4,41
4,25
4,23
4,23
4,37
4,51
4,84
4,85
4,58
4,56
4,46
4,26
3,87
4,13
4,24
4,03
3,93
4,03
4,12
3,92
3,77

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49359&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49359&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49359&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.170943892225670.0981500877819987
0.023.213178592964720.0719786233723929
0.033.251519725776320.051566690604735
0.043.281154426633960.0423199570852541
0.053.304242885971880.0437602514133516
0.063.324562040885580.0515524719166149
0.073.344890005081030.0615810622964391
0.083.366573692412480.0714537740536441
0.093.389916702230760.079983083726481
0.13.414654764243410.0866817459634584
0.113.440298678878980.0914478280969224
0.123.466334991682730.0944260464938012
0.133.492326902728340.0959460393663125
0.143.517954666611310.096459731615299
0.153.543019556819920.096426380094957
0.163.567424444660630.0962033588889702
0.173.591140375389890.095939771794699
0.183.614169013602670.095582945007397
0.193.636511007369480.0949501391192935
0.23.658147773649610.0938316999580288
0.213.679039290031590.0921039981705794
0.223.699135175787020.0897796231420765
0.233.718392692040580.087001531084073
0.243.736794319235130.0840258744960397
0.253.754359085739710.0811320329625584
0.263.771144787445940.0785718812960002
0.273.787241383714390.076530087095065
0.283.802758185974780.0750657718533225
0.293.817808506779310.0741375635843744
0.33.832495264722370.0736255725099826
0.313.846900042662370.0733705056684691
0.323.861076785224960.0731992834818725
0.333.875050134520.0729494223016868
0.343.888817601525860.0725010201051029
0.353.902354422927030.0717539363051163
0.363.915619978936930.0706640239565851
0.373.928564888898680.0691973120210828
0.383.941138192602450.0673782972031037
0.393.953294243848280.0652492715063229
0.43.964999034512210.0628931069188004
0.413.976235645701140.0604184019819427
0.423.987008448724080.0579631107665466
0.433.997345630672880.0556757626574726
0.444.007299660765060.0537248214922479
0.454.016945469894690.0522542033188279
0.464.026376367020820.0513838220520082
0.474.03569800501720.0511704437078741
0.484.045020962707370.0516351042145754
0.494.054452666833210.0527222698775618
0.54.064089407383240.0543277339332639
0.514.074009112709770.0563088158911008
0.524.084265392455070.0585006677308074
0.534.0948831873130.0607204856309124
0.544.105856237182050.0627856026875499
0.554.117146516533490.0645200967760451
0.564.128685773915530.0657574579269474
0.574.140379307280680.0663576127075186
0.584.152112053121970.0662133361236698
0.594.163756923147810.0652649998211091
0.64.175185077660960.063529676483495
0.614.186277509551260.0610743368566079
0.624.196936988292750.0580471400375271
0.634.207099154326750.0546529920429781
0.644.216741427420170.0511535433310462
0.654.225888440717040.0478364940255322
0.664.234612948401390.0450044374265208
0.674.243031566677060.0429284881863141
0.684.25129526463550.0418257299622093
0.694.259575179180700.0417969115683594
0.74.268045025438860.042802536869798
0.714.276862025960170.0446627689572892
0.724.286148776494140.0470847228698374
0.734.295978675220740.0497214429999337
0.744.30636735205850.0522084535662869
0.754.317271888648680.0542142007157262
0.764.328598560896640.0554966774365187
0.774.34021852641820.055906228162857
0.784.351989579032760.0554347021779972
0.794.363781094109540.0541925265518736
0.84.375498818447340.0524097269781885
0.814.387106277161910.0504045961037258
0.824.398640120470140.0485441814194526
0.834.410217387206690.0472017381369531
0.844.422033101173390.0467130628019698
0.854.434346825381850.0473130810145583
0.864.447457358718190.0490900310903262
0.874.461666942053630.0519168863989391
0.884.477241774913140.0554392576532113
0.894.494385336433580.059111805342882
0.94.513253444788750.06235654244181
0.914.534047837130.0648312411795733
0.924.557210451317930.0668590998368748
0.934.583673518375260.0698925983518269
0.944.614975928135340.0765463331140749
0.954.652874842654760.088788071457834
0.964.698067440221730.10370840830205
0.974.748160111785850.110454479894324
0.984.796241429247750.0942924880835163
0.994.83248284908450.0518274693252635

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.17094389222567 & 0.0981500877819987 \tabularnewline
0.02 & 3.21317859296472 & 0.0719786233723929 \tabularnewline
0.03 & 3.25151972577632 & 0.051566690604735 \tabularnewline
0.04 & 3.28115442663396 & 0.0423199570852541 \tabularnewline
0.05 & 3.30424288597188 & 0.0437602514133516 \tabularnewline
0.06 & 3.32456204088558 & 0.0515524719166149 \tabularnewline
0.07 & 3.34489000508103 & 0.0615810622964391 \tabularnewline
0.08 & 3.36657369241248 & 0.0714537740536441 \tabularnewline
0.09 & 3.38991670223076 & 0.079983083726481 \tabularnewline
0.1 & 3.41465476424341 & 0.0866817459634584 \tabularnewline
0.11 & 3.44029867887898 & 0.0914478280969224 \tabularnewline
0.12 & 3.46633499168273 & 0.0944260464938012 \tabularnewline
0.13 & 3.49232690272834 & 0.0959460393663125 \tabularnewline
0.14 & 3.51795466661131 & 0.096459731615299 \tabularnewline
0.15 & 3.54301955681992 & 0.096426380094957 \tabularnewline
0.16 & 3.56742444466063 & 0.0962033588889702 \tabularnewline
0.17 & 3.59114037538989 & 0.095939771794699 \tabularnewline
0.18 & 3.61416901360267 & 0.095582945007397 \tabularnewline
0.19 & 3.63651100736948 & 0.0949501391192935 \tabularnewline
0.2 & 3.65814777364961 & 0.0938316999580288 \tabularnewline
0.21 & 3.67903929003159 & 0.0921039981705794 \tabularnewline
0.22 & 3.69913517578702 & 0.0897796231420765 \tabularnewline
0.23 & 3.71839269204058 & 0.087001531084073 \tabularnewline
0.24 & 3.73679431923513 & 0.0840258744960397 \tabularnewline
0.25 & 3.75435908573971 & 0.0811320329625584 \tabularnewline
0.26 & 3.77114478744594 & 0.0785718812960002 \tabularnewline
0.27 & 3.78724138371439 & 0.076530087095065 \tabularnewline
0.28 & 3.80275818597478 & 0.0750657718533225 \tabularnewline
0.29 & 3.81780850677931 & 0.0741375635843744 \tabularnewline
0.3 & 3.83249526472237 & 0.0736255725099826 \tabularnewline
0.31 & 3.84690004266237 & 0.0733705056684691 \tabularnewline
0.32 & 3.86107678522496 & 0.0731992834818725 \tabularnewline
0.33 & 3.87505013452 & 0.0729494223016868 \tabularnewline
0.34 & 3.88881760152586 & 0.0725010201051029 \tabularnewline
0.35 & 3.90235442292703 & 0.0717539363051163 \tabularnewline
0.36 & 3.91561997893693 & 0.0706640239565851 \tabularnewline
0.37 & 3.92856488889868 & 0.0691973120210828 \tabularnewline
0.38 & 3.94113819260245 & 0.0673782972031037 \tabularnewline
0.39 & 3.95329424384828 & 0.0652492715063229 \tabularnewline
0.4 & 3.96499903451221 & 0.0628931069188004 \tabularnewline
0.41 & 3.97623564570114 & 0.0604184019819427 \tabularnewline
0.42 & 3.98700844872408 & 0.0579631107665466 \tabularnewline
0.43 & 3.99734563067288 & 0.0556757626574726 \tabularnewline
0.44 & 4.00729966076506 & 0.0537248214922479 \tabularnewline
0.45 & 4.01694546989469 & 0.0522542033188279 \tabularnewline
0.46 & 4.02637636702082 & 0.0513838220520082 \tabularnewline
0.47 & 4.0356980050172 & 0.0511704437078741 \tabularnewline
0.48 & 4.04502096270737 & 0.0516351042145754 \tabularnewline
0.49 & 4.05445266683321 & 0.0527222698775618 \tabularnewline
0.5 & 4.06408940738324 & 0.0543277339332639 \tabularnewline
0.51 & 4.07400911270977 & 0.0563088158911008 \tabularnewline
0.52 & 4.08426539245507 & 0.0585006677308074 \tabularnewline
0.53 & 4.094883187313 & 0.0607204856309124 \tabularnewline
0.54 & 4.10585623718205 & 0.0627856026875499 \tabularnewline
0.55 & 4.11714651653349 & 0.0645200967760451 \tabularnewline
0.56 & 4.12868577391553 & 0.0657574579269474 \tabularnewline
0.57 & 4.14037930728068 & 0.0663576127075186 \tabularnewline
0.58 & 4.15211205312197 & 0.0662133361236698 \tabularnewline
0.59 & 4.16375692314781 & 0.0652649998211091 \tabularnewline
0.6 & 4.17518507766096 & 0.063529676483495 \tabularnewline
0.61 & 4.18627750955126 & 0.0610743368566079 \tabularnewline
0.62 & 4.19693698829275 & 0.0580471400375271 \tabularnewline
0.63 & 4.20709915432675 & 0.0546529920429781 \tabularnewline
0.64 & 4.21674142742017 & 0.0511535433310462 \tabularnewline
0.65 & 4.22588844071704 & 0.0478364940255322 \tabularnewline
0.66 & 4.23461294840139 & 0.0450044374265208 \tabularnewline
0.67 & 4.24303156667706 & 0.0429284881863141 \tabularnewline
0.68 & 4.2512952646355 & 0.0418257299622093 \tabularnewline
0.69 & 4.25957517918070 & 0.0417969115683594 \tabularnewline
0.7 & 4.26804502543886 & 0.042802536869798 \tabularnewline
0.71 & 4.27686202596017 & 0.0446627689572892 \tabularnewline
0.72 & 4.28614877649414 & 0.0470847228698374 \tabularnewline
0.73 & 4.29597867522074 & 0.0497214429999337 \tabularnewline
0.74 & 4.3063673520585 & 0.0522084535662869 \tabularnewline
0.75 & 4.31727188864868 & 0.0542142007157262 \tabularnewline
0.76 & 4.32859856089664 & 0.0554966774365187 \tabularnewline
0.77 & 4.3402185264182 & 0.055906228162857 \tabularnewline
0.78 & 4.35198957903276 & 0.0554347021779972 \tabularnewline
0.79 & 4.36378109410954 & 0.0541925265518736 \tabularnewline
0.8 & 4.37549881844734 & 0.0524097269781885 \tabularnewline
0.81 & 4.38710627716191 & 0.0504045961037258 \tabularnewline
0.82 & 4.39864012047014 & 0.0485441814194526 \tabularnewline
0.83 & 4.41021738720669 & 0.0472017381369531 \tabularnewline
0.84 & 4.42203310117339 & 0.0467130628019698 \tabularnewline
0.85 & 4.43434682538185 & 0.0473130810145583 \tabularnewline
0.86 & 4.44745735871819 & 0.0490900310903262 \tabularnewline
0.87 & 4.46166694205363 & 0.0519168863989391 \tabularnewline
0.88 & 4.47724177491314 & 0.0554392576532113 \tabularnewline
0.89 & 4.49438533643358 & 0.059111805342882 \tabularnewline
0.9 & 4.51325344478875 & 0.06235654244181 \tabularnewline
0.91 & 4.53404783713 & 0.0648312411795733 \tabularnewline
0.92 & 4.55721045131793 & 0.0668590998368748 \tabularnewline
0.93 & 4.58367351837526 & 0.0698925983518269 \tabularnewline
0.94 & 4.61497592813534 & 0.0765463331140749 \tabularnewline
0.95 & 4.65287484265476 & 0.088788071457834 \tabularnewline
0.96 & 4.69806744022173 & 0.10370840830205 \tabularnewline
0.97 & 4.74816011178585 & 0.110454479894324 \tabularnewline
0.98 & 4.79624142924775 & 0.0942924880835163 \tabularnewline
0.99 & 4.8324828490845 & 0.0518274693252635 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49359&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]3.17094389222567[/C][C]0.0981500877819987[/C][/ROW]
[ROW][C]0.02[/C][C]3.21317859296472[/C][C]0.0719786233723929[/C][/ROW]
[ROW][C]0.03[/C][C]3.25151972577632[/C][C]0.051566690604735[/C][/ROW]
[ROW][C]0.04[/C][C]3.28115442663396[/C][C]0.0423199570852541[/C][/ROW]
[ROW][C]0.05[/C][C]3.30424288597188[/C][C]0.0437602514133516[/C][/ROW]
[ROW][C]0.06[/C][C]3.32456204088558[/C][C]0.0515524719166149[/C][/ROW]
[ROW][C]0.07[/C][C]3.34489000508103[/C][C]0.0615810622964391[/C][/ROW]
[ROW][C]0.08[/C][C]3.36657369241248[/C][C]0.0714537740536441[/C][/ROW]
[ROW][C]0.09[/C][C]3.38991670223076[/C][C]0.079983083726481[/C][/ROW]
[ROW][C]0.1[/C][C]3.41465476424341[/C][C]0.0866817459634584[/C][/ROW]
[ROW][C]0.11[/C][C]3.44029867887898[/C][C]0.0914478280969224[/C][/ROW]
[ROW][C]0.12[/C][C]3.46633499168273[/C][C]0.0944260464938012[/C][/ROW]
[ROW][C]0.13[/C][C]3.49232690272834[/C][C]0.0959460393663125[/C][/ROW]
[ROW][C]0.14[/C][C]3.51795466661131[/C][C]0.096459731615299[/C][/ROW]
[ROW][C]0.15[/C][C]3.54301955681992[/C][C]0.096426380094957[/C][/ROW]
[ROW][C]0.16[/C][C]3.56742444466063[/C][C]0.0962033588889702[/C][/ROW]
[ROW][C]0.17[/C][C]3.59114037538989[/C][C]0.095939771794699[/C][/ROW]
[ROW][C]0.18[/C][C]3.61416901360267[/C][C]0.095582945007397[/C][/ROW]
[ROW][C]0.19[/C][C]3.63651100736948[/C][C]0.0949501391192935[/C][/ROW]
[ROW][C]0.2[/C][C]3.65814777364961[/C][C]0.0938316999580288[/C][/ROW]
[ROW][C]0.21[/C][C]3.67903929003159[/C][C]0.0921039981705794[/C][/ROW]
[ROW][C]0.22[/C][C]3.69913517578702[/C][C]0.0897796231420765[/C][/ROW]
[ROW][C]0.23[/C][C]3.71839269204058[/C][C]0.087001531084073[/C][/ROW]
[ROW][C]0.24[/C][C]3.73679431923513[/C][C]0.0840258744960397[/C][/ROW]
[ROW][C]0.25[/C][C]3.75435908573971[/C][C]0.0811320329625584[/C][/ROW]
[ROW][C]0.26[/C][C]3.77114478744594[/C][C]0.0785718812960002[/C][/ROW]
[ROW][C]0.27[/C][C]3.78724138371439[/C][C]0.076530087095065[/C][/ROW]
[ROW][C]0.28[/C][C]3.80275818597478[/C][C]0.0750657718533225[/C][/ROW]
[ROW][C]0.29[/C][C]3.81780850677931[/C][C]0.0741375635843744[/C][/ROW]
[ROW][C]0.3[/C][C]3.83249526472237[/C][C]0.0736255725099826[/C][/ROW]
[ROW][C]0.31[/C][C]3.84690004266237[/C][C]0.0733705056684691[/C][/ROW]
[ROW][C]0.32[/C][C]3.86107678522496[/C][C]0.0731992834818725[/C][/ROW]
[ROW][C]0.33[/C][C]3.87505013452[/C][C]0.0729494223016868[/C][/ROW]
[ROW][C]0.34[/C][C]3.88881760152586[/C][C]0.0725010201051029[/C][/ROW]
[ROW][C]0.35[/C][C]3.90235442292703[/C][C]0.0717539363051163[/C][/ROW]
[ROW][C]0.36[/C][C]3.91561997893693[/C][C]0.0706640239565851[/C][/ROW]
[ROW][C]0.37[/C][C]3.92856488889868[/C][C]0.0691973120210828[/C][/ROW]
[ROW][C]0.38[/C][C]3.94113819260245[/C][C]0.0673782972031037[/C][/ROW]
[ROW][C]0.39[/C][C]3.95329424384828[/C][C]0.0652492715063229[/C][/ROW]
[ROW][C]0.4[/C][C]3.96499903451221[/C][C]0.0628931069188004[/C][/ROW]
[ROW][C]0.41[/C][C]3.97623564570114[/C][C]0.0604184019819427[/C][/ROW]
[ROW][C]0.42[/C][C]3.98700844872408[/C][C]0.0579631107665466[/C][/ROW]
[ROW][C]0.43[/C][C]3.99734563067288[/C][C]0.0556757626574726[/C][/ROW]
[ROW][C]0.44[/C][C]4.00729966076506[/C][C]0.0537248214922479[/C][/ROW]
[ROW][C]0.45[/C][C]4.01694546989469[/C][C]0.0522542033188279[/C][/ROW]
[ROW][C]0.46[/C][C]4.02637636702082[/C][C]0.0513838220520082[/C][/ROW]
[ROW][C]0.47[/C][C]4.0356980050172[/C][C]0.0511704437078741[/C][/ROW]
[ROW][C]0.48[/C][C]4.04502096270737[/C][C]0.0516351042145754[/C][/ROW]
[ROW][C]0.49[/C][C]4.05445266683321[/C][C]0.0527222698775618[/C][/ROW]
[ROW][C]0.5[/C][C]4.06408940738324[/C][C]0.0543277339332639[/C][/ROW]
[ROW][C]0.51[/C][C]4.07400911270977[/C][C]0.0563088158911008[/C][/ROW]
[ROW][C]0.52[/C][C]4.08426539245507[/C][C]0.0585006677308074[/C][/ROW]
[ROW][C]0.53[/C][C]4.094883187313[/C][C]0.0607204856309124[/C][/ROW]
[ROW][C]0.54[/C][C]4.10585623718205[/C][C]0.0627856026875499[/C][/ROW]
[ROW][C]0.55[/C][C]4.11714651653349[/C][C]0.0645200967760451[/C][/ROW]
[ROW][C]0.56[/C][C]4.12868577391553[/C][C]0.0657574579269474[/C][/ROW]
[ROW][C]0.57[/C][C]4.14037930728068[/C][C]0.0663576127075186[/C][/ROW]
[ROW][C]0.58[/C][C]4.15211205312197[/C][C]0.0662133361236698[/C][/ROW]
[ROW][C]0.59[/C][C]4.16375692314781[/C][C]0.0652649998211091[/C][/ROW]
[ROW][C]0.6[/C][C]4.17518507766096[/C][C]0.063529676483495[/C][/ROW]
[ROW][C]0.61[/C][C]4.18627750955126[/C][C]0.0610743368566079[/C][/ROW]
[ROW][C]0.62[/C][C]4.19693698829275[/C][C]0.0580471400375271[/C][/ROW]
[ROW][C]0.63[/C][C]4.20709915432675[/C][C]0.0546529920429781[/C][/ROW]
[ROW][C]0.64[/C][C]4.21674142742017[/C][C]0.0511535433310462[/C][/ROW]
[ROW][C]0.65[/C][C]4.22588844071704[/C][C]0.0478364940255322[/C][/ROW]
[ROW][C]0.66[/C][C]4.23461294840139[/C][C]0.0450044374265208[/C][/ROW]
[ROW][C]0.67[/C][C]4.24303156667706[/C][C]0.0429284881863141[/C][/ROW]
[ROW][C]0.68[/C][C]4.2512952646355[/C][C]0.0418257299622093[/C][/ROW]
[ROW][C]0.69[/C][C]4.25957517918070[/C][C]0.0417969115683594[/C][/ROW]
[ROW][C]0.7[/C][C]4.26804502543886[/C][C]0.042802536869798[/C][/ROW]
[ROW][C]0.71[/C][C]4.27686202596017[/C][C]0.0446627689572892[/C][/ROW]
[ROW][C]0.72[/C][C]4.28614877649414[/C][C]0.0470847228698374[/C][/ROW]
[ROW][C]0.73[/C][C]4.29597867522074[/C][C]0.0497214429999337[/C][/ROW]
[ROW][C]0.74[/C][C]4.3063673520585[/C][C]0.0522084535662869[/C][/ROW]
[ROW][C]0.75[/C][C]4.31727188864868[/C][C]0.0542142007157262[/C][/ROW]
[ROW][C]0.76[/C][C]4.32859856089664[/C][C]0.0554966774365187[/C][/ROW]
[ROW][C]0.77[/C][C]4.3402185264182[/C][C]0.055906228162857[/C][/ROW]
[ROW][C]0.78[/C][C]4.35198957903276[/C][C]0.0554347021779972[/C][/ROW]
[ROW][C]0.79[/C][C]4.36378109410954[/C][C]0.0541925265518736[/C][/ROW]
[ROW][C]0.8[/C][C]4.37549881844734[/C][C]0.0524097269781885[/C][/ROW]
[ROW][C]0.81[/C][C]4.38710627716191[/C][C]0.0504045961037258[/C][/ROW]
[ROW][C]0.82[/C][C]4.39864012047014[/C][C]0.0485441814194526[/C][/ROW]
[ROW][C]0.83[/C][C]4.41021738720669[/C][C]0.0472017381369531[/C][/ROW]
[ROW][C]0.84[/C][C]4.42203310117339[/C][C]0.0467130628019698[/C][/ROW]
[ROW][C]0.85[/C][C]4.43434682538185[/C][C]0.0473130810145583[/C][/ROW]
[ROW][C]0.86[/C][C]4.44745735871819[/C][C]0.0490900310903262[/C][/ROW]
[ROW][C]0.87[/C][C]4.46166694205363[/C][C]0.0519168863989391[/C][/ROW]
[ROW][C]0.88[/C][C]4.47724177491314[/C][C]0.0554392576532113[/C][/ROW]
[ROW][C]0.89[/C][C]4.49438533643358[/C][C]0.059111805342882[/C][/ROW]
[ROW][C]0.9[/C][C]4.51325344478875[/C][C]0.06235654244181[/C][/ROW]
[ROW][C]0.91[/C][C]4.53404783713[/C][C]0.0648312411795733[/C][/ROW]
[ROW][C]0.92[/C][C]4.55721045131793[/C][C]0.0668590998368748[/C][/ROW]
[ROW][C]0.93[/C][C]4.58367351837526[/C][C]0.0698925983518269[/C][/ROW]
[ROW][C]0.94[/C][C]4.61497592813534[/C][C]0.0765463331140749[/C][/ROW]
[ROW][C]0.95[/C][C]4.65287484265476[/C][C]0.088788071457834[/C][/ROW]
[ROW][C]0.96[/C][C]4.69806744022173[/C][C]0.10370840830205[/C][/ROW]
[ROW][C]0.97[/C][C]4.74816011178585[/C][C]0.110454479894324[/C][/ROW]
[ROW][C]0.98[/C][C]4.79624142924775[/C][C]0.0942924880835163[/C][/ROW]
[ROW][C]0.99[/C][C]4.8324828490845[/C][C]0.0518274693252635[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49359&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49359&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
0.013.170943892225670.0981500877819987
0.023.213178592964720.0719786233723929
0.033.251519725776320.051566690604735
0.043.281154426633960.0423199570852541
0.053.304242885971880.0437602514133516
0.063.324562040885580.0515524719166149
0.073.344890005081030.0615810622964391
0.083.366573692412480.0714537740536441
0.093.389916702230760.079983083726481
0.13.414654764243410.0866817459634584
0.113.440298678878980.0914478280969224
0.123.466334991682730.0944260464938012
0.133.492326902728340.0959460393663125
0.143.517954666611310.096459731615299
0.153.543019556819920.096426380094957
0.163.567424444660630.0962033588889702
0.173.591140375389890.095939771794699
0.183.614169013602670.095582945007397
0.193.636511007369480.0949501391192935
0.23.658147773649610.0938316999580288
0.213.679039290031590.0921039981705794
0.223.699135175787020.0897796231420765
0.233.718392692040580.087001531084073
0.243.736794319235130.0840258744960397
0.253.754359085739710.0811320329625584
0.263.771144787445940.0785718812960002
0.273.787241383714390.076530087095065
0.283.802758185974780.0750657718533225
0.293.817808506779310.0741375635843744
0.33.832495264722370.0736255725099826
0.313.846900042662370.0733705056684691
0.323.861076785224960.0731992834818725
0.333.875050134520.0729494223016868
0.343.888817601525860.0725010201051029
0.353.902354422927030.0717539363051163
0.363.915619978936930.0706640239565851
0.373.928564888898680.0691973120210828
0.383.941138192602450.0673782972031037
0.393.953294243848280.0652492715063229
0.43.964999034512210.0628931069188004
0.413.976235645701140.0604184019819427
0.423.987008448724080.0579631107665466
0.433.997345630672880.0556757626574726
0.444.007299660765060.0537248214922479
0.454.016945469894690.0522542033188279
0.464.026376367020820.0513838220520082
0.474.03569800501720.0511704437078741
0.484.045020962707370.0516351042145754
0.494.054452666833210.0527222698775618
0.54.064089407383240.0543277339332639
0.514.074009112709770.0563088158911008
0.524.084265392455070.0585006677308074
0.534.0948831873130.0607204856309124
0.544.105856237182050.0627856026875499
0.554.117146516533490.0645200967760451
0.564.128685773915530.0657574579269474
0.574.140379307280680.0663576127075186
0.584.152112053121970.0662133361236698
0.594.163756923147810.0652649998211091
0.64.175185077660960.063529676483495
0.614.186277509551260.0610743368566079
0.624.196936988292750.0580471400375271
0.634.207099154326750.0546529920429781
0.644.216741427420170.0511535433310462
0.654.225888440717040.0478364940255322
0.664.234612948401390.0450044374265208
0.674.243031566677060.0429284881863141
0.684.25129526463550.0418257299622093
0.694.259575179180700.0417969115683594
0.74.268045025438860.042802536869798
0.714.276862025960170.0446627689572892
0.724.286148776494140.0470847228698374
0.734.295978675220740.0497214429999337
0.744.30636735205850.0522084535662869
0.754.317271888648680.0542142007157262
0.764.328598560896640.0554966774365187
0.774.34021852641820.055906228162857
0.784.351989579032760.0554347021779972
0.794.363781094109540.0541925265518736
0.84.375498818447340.0524097269781885
0.814.387106277161910.0504045961037258
0.824.398640120470140.0485441814194526
0.834.410217387206690.0472017381369531
0.844.422033101173390.0467130628019698
0.854.434346825381850.0473130810145583
0.864.447457358718190.0490900310903262
0.874.461666942053630.0519168863989391
0.884.477241774913140.0554392576532113
0.894.494385336433580.059111805342882
0.94.513253444788750.06235654244181
0.914.534047837130.0648312411795733
0.924.557210451317930.0668590998368748
0.934.583673518375260.0698925983518269
0.944.614975928135340.0765463331140749
0.954.652874842654760.088788071457834
0.964.698067440221730.10370840830205
0.974.748160111785850.110454479894324
0.984.796241429247750.0942924880835163
0.994.83248284908450.0518274693252635


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')