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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, 16 Feb 2014 15:51:17 -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/2014/Feb/16/t1392583903tlvgwrl28nuh8h8.htm/, Retrieved Wed, 15 May 2024 22:40:33 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233840, Retrieved Wed, 15 May 2024 22:40:33 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93

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] [] [2014-02-16 20:51:17] [aa1782934d0b081042c527b5804d60cd] [Current]
- R P     [Harrell-Davis Quantiles] [] [2014-05-01 12:55:01] [81aa55046b9483ad574c1beb765d747c]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-2
0
1
-3
-3
-5
-7
-7
-5
-13
-16
-20
-18
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-12
-10
-3
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-4
-1
-8
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-11
-7
-2
-6
-4
0
2
2
5
8
8
5
10
6
6
9
5
5
-4
-5
-1
-8
-8
-13
-18
-8
-8
-6
-5
-11
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-13
-19
-21
-22
-13
-21
-17
-15
-14
-11
-8
-3
-2
-1
1

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233840&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233840&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233840&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-21.74153226933270.763137534875956
0.02-21.39723814118290.526092094391899
0.03-21.07947391031660.45912110364388
0.04-20.79493944961780.579674739586456
0.05-20.50503812993850.773453065680718
0.06-20.17988145270590.970907689148304
0.07-19.81100676286081.14653461239018
0.08-19.40388421916941.29347315412568
0.09-18.96889137772411.41173435774213
0.1-18.51637083754071.50373620869221
0.11-18.05500932438781.57241702979165
0.12-17.59178397894041.62006138507491
0.13-17.13239254223031.64754333667611
0.14-16.68170055321931.65461467584289
0.15-16.24402629113831.64084179390173
0.16-15.82320283389591.60686803144708
0.17-15.42243498808431.55508031147724
0.18-15.04403238858861.48991983853721
0.19-14.68913144869751.41752483494707
0.2-14.3575095295981.3450412444079
0.21-14.04755582911871.27975333826933
0.22-13.7564147721941.22809841170967
0.23-13.48027565111431.19485689818947
0.24-13.2147556910861.18254206151357
0.25-12.95531445932411.19122780027574
0.26-12.69764302331341.21884870278172
0.27-12.43798663851311.261713354783
0.28-12.17337930687311.31527627933451
0.29-11.90178683124061.37466188156185
0.3-11.62216775962891.43504381021907
0.31-11.33446674101831.4917694718793
0.32-11.03955280282151.54052943687413
0.33-10.73910885892321.57742187457908
0.34-10.43547273574291.59925267359215
0.35-10.13142830077251.60385082665912
0.36-9.829950114241281.59043789535196
0.37-9.533915686553221.55992288036153
0.38-9.245812398753241.51502666749468
0.39-8.967476397939951.46009690201519
0.4-8.699903683478041.40068448312686
0.41-8.443166709632551.34279329963881
0.42-8.196453840931671.29207433696488
0.43-7.958227531014211.25285462135064
0.44-7.726475481481261.22746775550462
0.45-7.499012590523651.21590723991922
0.46-7.273783959259321.21602106991445
0.47-7.049121829286071.22413150837385
0.48-6.823920759679131.23586128077282
0.49-6.597712399902091.24692670547459
0.5-6.370639823577571.25375551254512
0.51-6.143347740563131.25386983273294
0.52-5.916816221810381.24604733958441
0.53-5.692170503706281.23029127079297
0.54-5.470498071030781.20764772725754
0.55-5.252697791253831.17989326160818
0.56-5.039376353479161.14920118485984
0.57-4.830796870871541.11781666800462
0.58-4.626875270165481.0877674497695
0.59-4.427213521359091.06069144163755
0.6-4.231155615364431.03775711979063
0.61-4.037852429643771.01970321522458
0.62-3.846324472557531.00689707034212
0.63-3.655515731774220.999452171825877
0.64-3.46433609044160.997304461871858
0.65-3.271692845408311.00027803062255
0.66-3.07651309970921.00810148985296
0.67-2.877758209688691.02041351265059
0.68-2.67442968213021.03677265544898
0.69-2.465563968035641.05671828830469
0.7-2.250212523365841.0798611680789
0.71-2.027403955624571.10601278995687
0.72-1.796087113167361.13530584553321
0.73-1.555057216223841.168270615126
0.74-1.302871226896851.20586465166344
0.75-1.037763890398481.24940811213817
0.76-0.7575833561288581.3004609778129
0.77-0.4597761615511271.36061648054975
0.78-0.1414648545514141.4311455214786
0.790.2003276997154011.5123977104338
0.80.5682566779311691.60289443210818
0.810.9640187251223971.69821358842813
0.821.387557463219731.79007384006392
0.831.836280210084631.86629135061113
0.842.304572892747571.91224345026485
0.852.783962719103561.91410246025313
0.863.264212709054141.86334447118155
0.873.735391157173591.76126313759564
0.884.190563104599461.62181162384375
0.894.628314018930191.47113791072873
0.95.054035644150141.34244556071222
0.915.479015284988731.26462130870646
0.925.917064656501121.24586053079129
0.936.379708148828241.26361764875009
0.946.872391669660841.274544336495
0.957.394625399640941.24082471132299
0.967.944593421617541.15688227332761
0.978.521982649675271.05584934808531
0.989.114018929771980.982524036864984
0.999.6548091279970.963631176799998

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -21.7415322693327 & 0.763137534875956 \tabularnewline
0.02 & -21.3972381411829 & 0.526092094391899 \tabularnewline
0.03 & -21.0794739103166 & 0.45912110364388 \tabularnewline
0.04 & -20.7949394496178 & 0.579674739586456 \tabularnewline
0.05 & -20.5050381299385 & 0.773453065680718 \tabularnewline
0.06 & -20.1798814527059 & 0.970907689148304 \tabularnewline
0.07 & -19.8110067628608 & 1.14653461239018 \tabularnewline
0.08 & -19.4038842191694 & 1.29347315412568 \tabularnewline
0.09 & -18.9688913777241 & 1.41173435774213 \tabularnewline
0.1 & -18.5163708375407 & 1.50373620869221 \tabularnewline
0.11 & -18.0550093243878 & 1.57241702979165 \tabularnewline
0.12 & -17.5917839789404 & 1.62006138507491 \tabularnewline
0.13 & -17.1323925422303 & 1.64754333667611 \tabularnewline
0.14 & -16.6817005532193 & 1.65461467584289 \tabularnewline
0.15 & -16.2440262911383 & 1.64084179390173 \tabularnewline
0.16 & -15.8232028338959 & 1.60686803144708 \tabularnewline
0.17 & -15.4224349880843 & 1.55508031147724 \tabularnewline
0.18 & -15.0440323885886 & 1.48991983853721 \tabularnewline
0.19 & -14.6891314486975 & 1.41752483494707 \tabularnewline
0.2 & -14.357509529598 & 1.3450412444079 \tabularnewline
0.21 & -14.0475558291187 & 1.27975333826933 \tabularnewline
0.22 & -13.756414772194 & 1.22809841170967 \tabularnewline
0.23 & -13.4802756511143 & 1.19485689818947 \tabularnewline
0.24 & -13.214755691086 & 1.18254206151357 \tabularnewline
0.25 & -12.9553144593241 & 1.19122780027574 \tabularnewline
0.26 & -12.6976430233134 & 1.21884870278172 \tabularnewline
0.27 & -12.4379866385131 & 1.261713354783 \tabularnewline
0.28 & -12.1733793068731 & 1.31527627933451 \tabularnewline
0.29 & -11.9017868312406 & 1.37466188156185 \tabularnewline
0.3 & -11.6221677596289 & 1.43504381021907 \tabularnewline
0.31 & -11.3344667410183 & 1.4917694718793 \tabularnewline
0.32 & -11.0395528028215 & 1.54052943687413 \tabularnewline
0.33 & -10.7391088589232 & 1.57742187457908 \tabularnewline
0.34 & -10.4354727357429 & 1.59925267359215 \tabularnewline
0.35 & -10.1314283007725 & 1.60385082665912 \tabularnewline
0.36 & -9.82995011424128 & 1.59043789535196 \tabularnewline
0.37 & -9.53391568655322 & 1.55992288036153 \tabularnewline
0.38 & -9.24581239875324 & 1.51502666749468 \tabularnewline
0.39 & -8.96747639793995 & 1.46009690201519 \tabularnewline
0.4 & -8.69990368347804 & 1.40068448312686 \tabularnewline
0.41 & -8.44316670963255 & 1.34279329963881 \tabularnewline
0.42 & -8.19645384093167 & 1.29207433696488 \tabularnewline
0.43 & -7.95822753101421 & 1.25285462135064 \tabularnewline
0.44 & -7.72647548148126 & 1.22746775550462 \tabularnewline
0.45 & -7.49901259052365 & 1.21590723991922 \tabularnewline
0.46 & -7.27378395925932 & 1.21602106991445 \tabularnewline
0.47 & -7.04912182928607 & 1.22413150837385 \tabularnewline
0.48 & -6.82392075967913 & 1.23586128077282 \tabularnewline
0.49 & -6.59771239990209 & 1.24692670547459 \tabularnewline
0.5 & -6.37063982357757 & 1.25375551254512 \tabularnewline
0.51 & -6.14334774056313 & 1.25386983273294 \tabularnewline
0.52 & -5.91681622181038 & 1.24604733958441 \tabularnewline
0.53 & -5.69217050370628 & 1.23029127079297 \tabularnewline
0.54 & -5.47049807103078 & 1.20764772725754 \tabularnewline
0.55 & -5.25269779125383 & 1.17989326160818 \tabularnewline
0.56 & -5.03937635347916 & 1.14920118485984 \tabularnewline
0.57 & -4.83079687087154 & 1.11781666800462 \tabularnewline
0.58 & -4.62687527016548 & 1.0877674497695 \tabularnewline
0.59 & -4.42721352135909 & 1.06069144163755 \tabularnewline
0.6 & -4.23115561536443 & 1.03775711979063 \tabularnewline
0.61 & -4.03785242964377 & 1.01970321522458 \tabularnewline
0.62 & -3.84632447255753 & 1.00689707034212 \tabularnewline
0.63 & -3.65551573177422 & 0.999452171825877 \tabularnewline
0.64 & -3.4643360904416 & 0.997304461871858 \tabularnewline
0.65 & -3.27169284540831 & 1.00027803062255 \tabularnewline
0.66 & -3.0765130997092 & 1.00810148985296 \tabularnewline
0.67 & -2.87775820968869 & 1.02041351265059 \tabularnewline
0.68 & -2.6744296821302 & 1.03677265544898 \tabularnewline
0.69 & -2.46556396803564 & 1.05671828830469 \tabularnewline
0.7 & -2.25021252336584 & 1.0798611680789 \tabularnewline
0.71 & -2.02740395562457 & 1.10601278995687 \tabularnewline
0.72 & -1.79608711316736 & 1.13530584553321 \tabularnewline
0.73 & -1.55505721622384 & 1.168270615126 \tabularnewline
0.74 & -1.30287122689685 & 1.20586465166344 \tabularnewline
0.75 & -1.03776389039848 & 1.24940811213817 \tabularnewline
0.76 & -0.757583356128858 & 1.3004609778129 \tabularnewline
0.77 & -0.459776161551127 & 1.36061648054975 \tabularnewline
0.78 & -0.141464854551414 & 1.4311455214786 \tabularnewline
0.79 & 0.200327699715401 & 1.5123977104338 \tabularnewline
0.8 & 0.568256677931169 & 1.60289443210818 \tabularnewline
0.81 & 0.964018725122397 & 1.69821358842813 \tabularnewline
0.82 & 1.38755746321973 & 1.79007384006392 \tabularnewline
0.83 & 1.83628021008463 & 1.86629135061113 \tabularnewline
0.84 & 2.30457289274757 & 1.91224345026485 \tabularnewline
0.85 & 2.78396271910356 & 1.91410246025313 \tabularnewline
0.86 & 3.26421270905414 & 1.86334447118155 \tabularnewline
0.87 & 3.73539115717359 & 1.76126313759564 \tabularnewline
0.88 & 4.19056310459946 & 1.62181162384375 \tabularnewline
0.89 & 4.62831401893019 & 1.47113791072873 \tabularnewline
0.9 & 5.05403564415014 & 1.34244556071222 \tabularnewline
0.91 & 5.47901528498873 & 1.26462130870646 \tabularnewline
0.92 & 5.91706465650112 & 1.24586053079129 \tabularnewline
0.93 & 6.37970814882824 & 1.26361764875009 \tabularnewline
0.94 & 6.87239166966084 & 1.274544336495 \tabularnewline
0.95 & 7.39462539964094 & 1.24082471132299 \tabularnewline
0.96 & 7.94459342161754 & 1.15688227332761 \tabularnewline
0.97 & 8.52198264967527 & 1.05584934808531 \tabularnewline
0.98 & 9.11401892977198 & 0.982524036864984 \tabularnewline
0.99 & 9.654809127997 & 0.963631176799998 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233840&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]-21.7415322693327[/C][C]0.763137534875956[/C][/ROW]
[ROW][C]0.02[/C][C]-21.3972381411829[/C][C]0.526092094391899[/C][/ROW]
[ROW][C]0.03[/C][C]-21.0794739103166[/C][C]0.45912110364388[/C][/ROW]
[ROW][C]0.04[/C][C]-20.7949394496178[/C][C]0.579674739586456[/C][/ROW]
[ROW][C]0.05[/C][C]-20.5050381299385[/C][C]0.773453065680718[/C][/ROW]
[ROW][C]0.06[/C][C]-20.1798814527059[/C][C]0.970907689148304[/C][/ROW]
[ROW][C]0.07[/C][C]-19.8110067628608[/C][C]1.14653461239018[/C][/ROW]
[ROW][C]0.08[/C][C]-19.4038842191694[/C][C]1.29347315412568[/C][/ROW]
[ROW][C]0.09[/C][C]-18.9688913777241[/C][C]1.41173435774213[/C][/ROW]
[ROW][C]0.1[/C][C]-18.5163708375407[/C][C]1.50373620869221[/C][/ROW]
[ROW][C]0.11[/C][C]-18.0550093243878[/C][C]1.57241702979165[/C][/ROW]
[ROW][C]0.12[/C][C]-17.5917839789404[/C][C]1.62006138507491[/C][/ROW]
[ROW][C]0.13[/C][C]-17.1323925422303[/C][C]1.64754333667611[/C][/ROW]
[ROW][C]0.14[/C][C]-16.6817005532193[/C][C]1.65461467584289[/C][/ROW]
[ROW][C]0.15[/C][C]-16.2440262911383[/C][C]1.64084179390173[/C][/ROW]
[ROW][C]0.16[/C][C]-15.8232028338959[/C][C]1.60686803144708[/C][/ROW]
[ROW][C]0.17[/C][C]-15.4224349880843[/C][C]1.55508031147724[/C][/ROW]
[ROW][C]0.18[/C][C]-15.0440323885886[/C][C]1.48991983853721[/C][/ROW]
[ROW][C]0.19[/C][C]-14.6891314486975[/C][C]1.41752483494707[/C][/ROW]
[ROW][C]0.2[/C][C]-14.357509529598[/C][C]1.3450412444079[/C][/ROW]
[ROW][C]0.21[/C][C]-14.0475558291187[/C][C]1.27975333826933[/C][/ROW]
[ROW][C]0.22[/C][C]-13.756414772194[/C][C]1.22809841170967[/C][/ROW]
[ROW][C]0.23[/C][C]-13.4802756511143[/C][C]1.19485689818947[/C][/ROW]
[ROW][C]0.24[/C][C]-13.214755691086[/C][C]1.18254206151357[/C][/ROW]
[ROW][C]0.25[/C][C]-12.9553144593241[/C][C]1.19122780027574[/C][/ROW]
[ROW][C]0.26[/C][C]-12.6976430233134[/C][C]1.21884870278172[/C][/ROW]
[ROW][C]0.27[/C][C]-12.4379866385131[/C][C]1.261713354783[/C][/ROW]
[ROW][C]0.28[/C][C]-12.1733793068731[/C][C]1.31527627933451[/C][/ROW]
[ROW][C]0.29[/C][C]-11.9017868312406[/C][C]1.37466188156185[/C][/ROW]
[ROW][C]0.3[/C][C]-11.6221677596289[/C][C]1.43504381021907[/C][/ROW]
[ROW][C]0.31[/C][C]-11.3344667410183[/C][C]1.4917694718793[/C][/ROW]
[ROW][C]0.32[/C][C]-11.0395528028215[/C][C]1.54052943687413[/C][/ROW]
[ROW][C]0.33[/C][C]-10.7391088589232[/C][C]1.57742187457908[/C][/ROW]
[ROW][C]0.34[/C][C]-10.4354727357429[/C][C]1.59925267359215[/C][/ROW]
[ROW][C]0.35[/C][C]-10.1314283007725[/C][C]1.60385082665912[/C][/ROW]
[ROW][C]0.36[/C][C]-9.82995011424128[/C][C]1.59043789535196[/C][/ROW]
[ROW][C]0.37[/C][C]-9.53391568655322[/C][C]1.55992288036153[/C][/ROW]
[ROW][C]0.38[/C][C]-9.24581239875324[/C][C]1.51502666749468[/C][/ROW]
[ROW][C]0.39[/C][C]-8.96747639793995[/C][C]1.46009690201519[/C][/ROW]
[ROW][C]0.4[/C][C]-8.69990368347804[/C][C]1.40068448312686[/C][/ROW]
[ROW][C]0.41[/C][C]-8.44316670963255[/C][C]1.34279329963881[/C][/ROW]
[ROW][C]0.42[/C][C]-8.19645384093167[/C][C]1.29207433696488[/C][/ROW]
[ROW][C]0.43[/C][C]-7.95822753101421[/C][C]1.25285462135064[/C][/ROW]
[ROW][C]0.44[/C][C]-7.72647548148126[/C][C]1.22746775550462[/C][/ROW]
[ROW][C]0.45[/C][C]-7.49901259052365[/C][C]1.21590723991922[/C][/ROW]
[ROW][C]0.46[/C][C]-7.27378395925932[/C][C]1.21602106991445[/C][/ROW]
[ROW][C]0.47[/C][C]-7.04912182928607[/C][C]1.22413150837385[/C][/ROW]
[ROW][C]0.48[/C][C]-6.82392075967913[/C][C]1.23586128077282[/C][/ROW]
[ROW][C]0.49[/C][C]-6.59771239990209[/C][C]1.24692670547459[/C][/ROW]
[ROW][C]0.5[/C][C]-6.37063982357757[/C][C]1.25375551254512[/C][/ROW]
[ROW][C]0.51[/C][C]-6.14334774056313[/C][C]1.25386983273294[/C][/ROW]
[ROW][C]0.52[/C][C]-5.91681622181038[/C][C]1.24604733958441[/C][/ROW]
[ROW][C]0.53[/C][C]-5.69217050370628[/C][C]1.23029127079297[/C][/ROW]
[ROW][C]0.54[/C][C]-5.47049807103078[/C][C]1.20764772725754[/C][/ROW]
[ROW][C]0.55[/C][C]-5.25269779125383[/C][C]1.17989326160818[/C][/ROW]
[ROW][C]0.56[/C][C]-5.03937635347916[/C][C]1.14920118485984[/C][/ROW]
[ROW][C]0.57[/C][C]-4.83079687087154[/C][C]1.11781666800462[/C][/ROW]
[ROW][C]0.58[/C][C]-4.62687527016548[/C][C]1.0877674497695[/C][/ROW]
[ROW][C]0.59[/C][C]-4.42721352135909[/C][C]1.06069144163755[/C][/ROW]
[ROW][C]0.6[/C][C]-4.23115561536443[/C][C]1.03775711979063[/C][/ROW]
[ROW][C]0.61[/C][C]-4.03785242964377[/C][C]1.01970321522458[/C][/ROW]
[ROW][C]0.62[/C][C]-3.84632447255753[/C][C]1.00689707034212[/C][/ROW]
[ROW][C]0.63[/C][C]-3.65551573177422[/C][C]0.999452171825877[/C][/ROW]
[ROW][C]0.64[/C][C]-3.4643360904416[/C][C]0.997304461871858[/C][/ROW]
[ROW][C]0.65[/C][C]-3.27169284540831[/C][C]1.00027803062255[/C][/ROW]
[ROW][C]0.66[/C][C]-3.0765130997092[/C][C]1.00810148985296[/C][/ROW]
[ROW][C]0.67[/C][C]-2.87775820968869[/C][C]1.02041351265059[/C][/ROW]
[ROW][C]0.68[/C][C]-2.6744296821302[/C][C]1.03677265544898[/C][/ROW]
[ROW][C]0.69[/C][C]-2.46556396803564[/C][C]1.05671828830469[/C][/ROW]
[ROW][C]0.7[/C][C]-2.25021252336584[/C][C]1.0798611680789[/C][/ROW]
[ROW][C]0.71[/C][C]-2.02740395562457[/C][C]1.10601278995687[/C][/ROW]
[ROW][C]0.72[/C][C]-1.79608711316736[/C][C]1.13530584553321[/C][/ROW]
[ROW][C]0.73[/C][C]-1.55505721622384[/C][C]1.168270615126[/C][/ROW]
[ROW][C]0.74[/C][C]-1.30287122689685[/C][C]1.20586465166344[/C][/ROW]
[ROW][C]0.75[/C][C]-1.03776389039848[/C][C]1.24940811213817[/C][/ROW]
[ROW][C]0.76[/C][C]-0.757583356128858[/C][C]1.3004609778129[/C][/ROW]
[ROW][C]0.77[/C][C]-0.459776161551127[/C][C]1.36061648054975[/C][/ROW]
[ROW][C]0.78[/C][C]-0.141464854551414[/C][C]1.4311455214786[/C][/ROW]
[ROW][C]0.79[/C][C]0.200327699715401[/C][C]1.5123977104338[/C][/ROW]
[ROW][C]0.8[/C][C]0.568256677931169[/C][C]1.60289443210818[/C][/ROW]
[ROW][C]0.81[/C][C]0.964018725122397[/C][C]1.69821358842813[/C][/ROW]
[ROW][C]0.82[/C][C]1.38755746321973[/C][C]1.79007384006392[/C][/ROW]
[ROW][C]0.83[/C][C]1.83628021008463[/C][C]1.86629135061113[/C][/ROW]
[ROW][C]0.84[/C][C]2.30457289274757[/C][C]1.91224345026485[/C][/ROW]
[ROW][C]0.85[/C][C]2.78396271910356[/C][C]1.91410246025313[/C][/ROW]
[ROW][C]0.86[/C][C]3.26421270905414[/C][C]1.86334447118155[/C][/ROW]
[ROW][C]0.87[/C][C]3.73539115717359[/C][C]1.76126313759564[/C][/ROW]
[ROW][C]0.88[/C][C]4.19056310459946[/C][C]1.62181162384375[/C][/ROW]
[ROW][C]0.89[/C][C]4.62831401893019[/C][C]1.47113791072873[/C][/ROW]
[ROW][C]0.9[/C][C]5.05403564415014[/C][C]1.34244556071222[/C][/ROW]
[ROW][C]0.91[/C][C]5.47901528498873[/C][C]1.26462130870646[/C][/ROW]
[ROW][C]0.92[/C][C]5.91706465650112[/C][C]1.24586053079129[/C][/ROW]
[ROW][C]0.93[/C][C]6.37970814882824[/C][C]1.26361764875009[/C][/ROW]
[ROW][C]0.94[/C][C]6.87239166966084[/C][C]1.274544336495[/C][/ROW]
[ROW][C]0.95[/C][C]7.39462539964094[/C][C]1.24082471132299[/C][/ROW]
[ROW][C]0.96[/C][C]7.94459342161754[/C][C]1.15688227332761[/C][/ROW]
[ROW][C]0.97[/C][C]8.52198264967527[/C][C]1.05584934808531[/C][/ROW]
[ROW][C]0.98[/C][C]9.11401892977198[/C][C]0.982524036864984[/C][/ROW]
[ROW][C]0.99[/C][C]9.654809127997[/C][C]0.963631176799998[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233840&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233840&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
0.01-21.74153226933270.763137534875956
0.02-21.39723814118290.526092094391899
0.03-21.07947391031660.45912110364388
0.04-20.79493944961780.579674739586456
0.05-20.50503812993850.773453065680718
0.06-20.17988145270590.970907689148304
0.07-19.81100676286081.14653461239018
0.08-19.40388421916941.29347315412568
0.09-18.96889137772411.41173435774213
0.1-18.51637083754071.50373620869221
0.11-18.05500932438781.57241702979165
0.12-17.59178397894041.62006138507491
0.13-17.13239254223031.64754333667611
0.14-16.68170055321931.65461467584289
0.15-16.24402629113831.64084179390173
0.16-15.82320283389591.60686803144708
0.17-15.42243498808431.55508031147724
0.18-15.04403238858861.48991983853721
0.19-14.68913144869751.41752483494707
0.2-14.3575095295981.3450412444079
0.21-14.04755582911871.27975333826933
0.22-13.7564147721941.22809841170967
0.23-13.48027565111431.19485689818947
0.24-13.2147556910861.18254206151357
0.25-12.95531445932411.19122780027574
0.26-12.69764302331341.21884870278172
0.27-12.43798663851311.261713354783
0.28-12.17337930687311.31527627933451
0.29-11.90178683124061.37466188156185
0.3-11.62216775962891.43504381021907
0.31-11.33446674101831.4917694718793
0.32-11.03955280282151.54052943687413
0.33-10.73910885892321.57742187457908
0.34-10.43547273574291.59925267359215
0.35-10.13142830077251.60385082665912
0.36-9.829950114241281.59043789535196
0.37-9.533915686553221.55992288036153
0.38-9.245812398753241.51502666749468
0.39-8.967476397939951.46009690201519
0.4-8.699903683478041.40068448312686
0.41-8.443166709632551.34279329963881
0.42-8.196453840931671.29207433696488
0.43-7.958227531014211.25285462135064
0.44-7.726475481481261.22746775550462
0.45-7.499012590523651.21590723991922
0.46-7.273783959259321.21602106991445
0.47-7.049121829286071.22413150837385
0.48-6.823920759679131.23586128077282
0.49-6.597712399902091.24692670547459
0.5-6.370639823577571.25375551254512
0.51-6.143347740563131.25386983273294
0.52-5.916816221810381.24604733958441
0.53-5.692170503706281.23029127079297
0.54-5.470498071030781.20764772725754
0.55-5.252697791253831.17989326160818
0.56-5.039376353479161.14920118485984
0.57-4.830796870871541.11781666800462
0.58-4.626875270165481.0877674497695
0.59-4.427213521359091.06069144163755
0.6-4.231155615364431.03775711979063
0.61-4.037852429643771.01970321522458
0.62-3.846324472557531.00689707034212
0.63-3.655515731774220.999452171825877
0.64-3.46433609044160.997304461871858
0.65-3.271692845408311.00027803062255
0.66-3.07651309970921.00810148985296
0.67-2.877758209688691.02041351265059
0.68-2.67442968213021.03677265544898
0.69-2.465563968035641.05671828830469
0.7-2.250212523365841.0798611680789
0.71-2.027403955624571.10601278995687
0.72-1.796087113167361.13530584553321
0.73-1.555057216223841.168270615126
0.74-1.302871226896851.20586465166344
0.75-1.037763890398481.24940811213817
0.76-0.7575833561288581.3004609778129
0.77-0.4597761615511271.36061648054975
0.78-0.1414648545514141.4311455214786
0.790.2003276997154011.5123977104338
0.80.5682566779311691.60289443210818
0.810.9640187251223971.69821358842813
0.821.387557463219731.79007384006392
0.831.836280210084631.86629135061113
0.842.304572892747571.91224345026485
0.852.783962719103561.91410246025313
0.863.264212709054141.86334447118155
0.873.735391157173591.76126313759564
0.884.190563104599461.62181162384375
0.894.628314018930191.47113791072873
0.95.054035644150141.34244556071222
0.915.479015284988731.26462130870646
0.925.917064656501121.24586053079129
0.936.379708148828241.26361764875009
0.946.872391669660841.274544336495
0.957.394625399640941.24082471132299
0.967.944593421617541.15688227332761
0.978.521982649675271.05584934808531
0.989.114018929771980.982524036864984
0.999.6548091279970.963631176799998


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')