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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 28 Feb 2012 07:50:03 -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/28/t1330433442r7a3e01kdik241q.htm/, Retrieved Tue, 30 Apr 2024 05:32:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163315, Retrieved Tue, 30 Apr 2024 05:32:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact195
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell Davis dec...] [2012-02-28 12:50:03] [b6f30dd2dbd531a0598f7d35351b79f0] [Current]
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Dataseries X:
1,78
1,79
1,8
1,82
1,82
1,83
1,84
1,84
1,83
1,83
1,83
1,84
1,86
1,85
1,85
1,85
1,84
1,85
1,85
1,83
1,82
1,84
1,85
1,88
1,91
1,93
1,91
1,9
1,9
1,89
1,88
1,88
1,92
1,98
2
2
2,02
2,01
2,05
2,07
2,07
2,04
2,05
2,05
2,04
2,03
2,04
2,04
2,1
2,09
2,1
2,09
2,08
2,1
2,11
2,08
2,09
2,1
2,09
2,09




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=163315&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=163315&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163315&T=0

As an alternative you can also use a 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
0.11.823258452618890.00647872243773541
0.111.825213915929310.00585315493299378
0.121.826890096516550.00541988222698206
0.131.828371357388250.00514635690561347
0.141.829721508946660.00502300539432634
0.151.830988561435150.00503263209803113
0.161.832208120264770.0051407504319079
0.171.833405253226270.00530038105230521
0.181.834595796518730.0054690109725473
0.191.835787986211690.00561903567229059
0.21.836984699630220.0057419670897004
0.211.838186049568270.00584437516909299
0.221.839391854848350.00594140638124954
0.231.840603596187570.00605513636060361
0.241.841825700213110.00620589286123247
0.251.843066212685340.00641448787030881
0.261.844337028224350.00670074249374016
0.271.845653826229930.00708944204090513
0.281.847035770504650.00760193606300498
0.291.848504934544460.00826099152895231
0.31.850085373240030.00908128735047617
0.311.851801798446020.0100608845104992
0.321.853677917105490.0111847725966946
0.331.85573461684390.0124239897147213
0.341.857988287346730.013737212915797
0.351.860449607610720.0150791238528672
0.361.863123091031350.0164053346149363
0.371.866007567787150.0176823971531377
0.381.869097622174090.0188879143090467
0.391.872385826996870.0200195492414169
0.41.875865463657280.0210968133243682
0.411.87953331301990.0221587210187001
0.421.883392063911570.0232551804379279
0.431.887451915937620.0244518501503963
0.441.891731043805250.0258073971437758
0.451.896254727840740.0273719744807313
0.461.901053123045240.0291720869573045
0.471.906157818591730.0312041656537256
0.481.911597511767020.0334317425742877
0.491.917393264507770.0357821292669968
0.51.923553906045590.0381509841942903
0.511.930072173153210.0404181635547117
0.521.93692212783110.0424486212205871
0.531.944058259789240.0441105328977255
0.541.951416480942630.0452898045742298
0.551.958916979142070.0458991418902622
0.561.966468657032640.0458830769774086
0.571.97397468092610.0452315823918331
0.581.98133853913380.0439709604913171
0.591.988469979424270.0421643598079435
0.61.995290260888110.0399069529295483
0.612.00173629607920.0373100069142276
0.622.007763439908150.0344950600420845
0.632.013346862476380.0315863096761392
0.642.018481589512170.0287029213541559
0.652.023181385884520.0259504180060411
0.662.02747669211780.0234199050940176
0.672.031411814281680.0211861122050577
0.682.03504153738260.0193078188875118
0.692.038427306206010.0178199844749216
0.72.041633113656530.016736377817646
0.712.04472126134370.0160371230285615
0.722.047748203635530.0156777449905184
0.732.050760737478770.0155811680541434
0.742.053792834356110.0156574601361365
0.752.056863409070310.0158034295266252
0.762.059975273319940.0159214876685164
0.772.063115434188010.0159253937898044
0.782.066256784996560.0157469676460345
0.792.069361120877870.0153408825898027
0.82.072383311726270.0146867714711068
0.812.075276382767960.0137906950467971
0.822.077997167379050.0126847472284423
0.832.080512071032540.0114253994536867
0.842.082802288303290.010086825899479
0.852.08486755852270.00876067911164234
0.862.086727323310680.00754631401721842
0.872.088418151467430.00653899324901488
0.882.089986774254140.00580923298266284
0.892.091479229274730.00536809700414501
0.92.09292843836630.005136559368022

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.1 & 1.82325845261889 & 0.00647872243773541 \tabularnewline
0.11 & 1.82521391592931 & 0.00585315493299378 \tabularnewline
0.12 & 1.82689009651655 & 0.00541988222698206 \tabularnewline
0.13 & 1.82837135738825 & 0.00514635690561347 \tabularnewline
0.14 & 1.82972150894666 & 0.00502300539432634 \tabularnewline
0.15 & 1.83098856143515 & 0.00503263209803113 \tabularnewline
0.16 & 1.83220812026477 & 0.0051407504319079 \tabularnewline
0.17 & 1.83340525322627 & 0.00530038105230521 \tabularnewline
0.18 & 1.83459579651873 & 0.0054690109725473 \tabularnewline
0.19 & 1.83578798621169 & 0.00561903567229059 \tabularnewline
0.2 & 1.83698469963022 & 0.0057419670897004 \tabularnewline
0.21 & 1.83818604956827 & 0.00584437516909299 \tabularnewline
0.22 & 1.83939185484835 & 0.00594140638124954 \tabularnewline
0.23 & 1.84060359618757 & 0.00605513636060361 \tabularnewline
0.24 & 1.84182570021311 & 0.00620589286123247 \tabularnewline
0.25 & 1.84306621268534 & 0.00641448787030881 \tabularnewline
0.26 & 1.84433702822435 & 0.00670074249374016 \tabularnewline
0.27 & 1.84565382622993 & 0.00708944204090513 \tabularnewline
0.28 & 1.84703577050465 & 0.00760193606300498 \tabularnewline
0.29 & 1.84850493454446 & 0.00826099152895231 \tabularnewline
0.3 & 1.85008537324003 & 0.00908128735047617 \tabularnewline
0.31 & 1.85180179844602 & 0.0100608845104992 \tabularnewline
0.32 & 1.85367791710549 & 0.0111847725966946 \tabularnewline
0.33 & 1.8557346168439 & 0.0124239897147213 \tabularnewline
0.34 & 1.85798828734673 & 0.013737212915797 \tabularnewline
0.35 & 1.86044960761072 & 0.0150791238528672 \tabularnewline
0.36 & 1.86312309103135 & 0.0164053346149363 \tabularnewline
0.37 & 1.86600756778715 & 0.0176823971531377 \tabularnewline
0.38 & 1.86909762217409 & 0.0188879143090467 \tabularnewline
0.39 & 1.87238582699687 & 0.0200195492414169 \tabularnewline
0.4 & 1.87586546365728 & 0.0210968133243682 \tabularnewline
0.41 & 1.8795333130199 & 0.0221587210187001 \tabularnewline
0.42 & 1.88339206391157 & 0.0232551804379279 \tabularnewline
0.43 & 1.88745191593762 & 0.0244518501503963 \tabularnewline
0.44 & 1.89173104380525 & 0.0258073971437758 \tabularnewline
0.45 & 1.89625472784074 & 0.0273719744807313 \tabularnewline
0.46 & 1.90105312304524 & 0.0291720869573045 \tabularnewline
0.47 & 1.90615781859173 & 0.0312041656537256 \tabularnewline
0.48 & 1.91159751176702 & 0.0334317425742877 \tabularnewline
0.49 & 1.91739326450777 & 0.0357821292669968 \tabularnewline
0.5 & 1.92355390604559 & 0.0381509841942903 \tabularnewline
0.51 & 1.93007217315321 & 0.0404181635547117 \tabularnewline
0.52 & 1.9369221278311 & 0.0424486212205871 \tabularnewline
0.53 & 1.94405825978924 & 0.0441105328977255 \tabularnewline
0.54 & 1.95141648094263 & 0.0452898045742298 \tabularnewline
0.55 & 1.95891697914207 & 0.0458991418902622 \tabularnewline
0.56 & 1.96646865703264 & 0.0458830769774086 \tabularnewline
0.57 & 1.9739746809261 & 0.0452315823918331 \tabularnewline
0.58 & 1.9813385391338 & 0.0439709604913171 \tabularnewline
0.59 & 1.98846997942427 & 0.0421643598079435 \tabularnewline
0.6 & 1.99529026088811 & 0.0399069529295483 \tabularnewline
0.61 & 2.0017362960792 & 0.0373100069142276 \tabularnewline
0.62 & 2.00776343990815 & 0.0344950600420845 \tabularnewline
0.63 & 2.01334686247638 & 0.0315863096761392 \tabularnewline
0.64 & 2.01848158951217 & 0.0287029213541559 \tabularnewline
0.65 & 2.02318138588452 & 0.0259504180060411 \tabularnewline
0.66 & 2.0274766921178 & 0.0234199050940176 \tabularnewline
0.67 & 2.03141181428168 & 0.0211861122050577 \tabularnewline
0.68 & 2.0350415373826 & 0.0193078188875118 \tabularnewline
0.69 & 2.03842730620601 & 0.0178199844749216 \tabularnewline
0.7 & 2.04163311365653 & 0.016736377817646 \tabularnewline
0.71 & 2.0447212613437 & 0.0160371230285615 \tabularnewline
0.72 & 2.04774820363553 & 0.0156777449905184 \tabularnewline
0.73 & 2.05076073747877 & 0.0155811680541434 \tabularnewline
0.74 & 2.05379283435611 & 0.0156574601361365 \tabularnewline
0.75 & 2.05686340907031 & 0.0158034295266252 \tabularnewline
0.76 & 2.05997527331994 & 0.0159214876685164 \tabularnewline
0.77 & 2.06311543418801 & 0.0159253937898044 \tabularnewline
0.78 & 2.06625678499656 & 0.0157469676460345 \tabularnewline
0.79 & 2.06936112087787 & 0.0153408825898027 \tabularnewline
0.8 & 2.07238331172627 & 0.0146867714711068 \tabularnewline
0.81 & 2.07527638276796 & 0.0137906950467971 \tabularnewline
0.82 & 2.07799716737905 & 0.0126847472284423 \tabularnewline
0.83 & 2.08051207103254 & 0.0114253994536867 \tabularnewline
0.84 & 2.08280228830329 & 0.010086825899479 \tabularnewline
0.85 & 2.0848675585227 & 0.00876067911164234 \tabularnewline
0.86 & 2.08672732331068 & 0.00754631401721842 \tabularnewline
0.87 & 2.08841815146743 & 0.00653899324901488 \tabularnewline
0.88 & 2.08998677425414 & 0.00580923298266284 \tabularnewline
0.89 & 2.09147922927473 & 0.00536809700414501 \tabularnewline
0.9 & 2.0929284383663 & 0.005136559368022 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163315&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.1[/C][C]1.82325845261889[/C][C]0.00647872243773541[/C][/ROW]
[ROW][C]0.11[/C][C]1.82521391592931[/C][C]0.00585315493299378[/C][/ROW]
[ROW][C]0.12[/C][C]1.82689009651655[/C][C]0.00541988222698206[/C][/ROW]
[ROW][C]0.13[/C][C]1.82837135738825[/C][C]0.00514635690561347[/C][/ROW]
[ROW][C]0.14[/C][C]1.82972150894666[/C][C]0.00502300539432634[/C][/ROW]
[ROW][C]0.15[/C][C]1.83098856143515[/C][C]0.00503263209803113[/C][/ROW]
[ROW][C]0.16[/C][C]1.83220812026477[/C][C]0.0051407504319079[/C][/ROW]
[ROW][C]0.17[/C][C]1.83340525322627[/C][C]0.00530038105230521[/C][/ROW]
[ROW][C]0.18[/C][C]1.83459579651873[/C][C]0.0054690109725473[/C][/ROW]
[ROW][C]0.19[/C][C]1.83578798621169[/C][C]0.00561903567229059[/C][/ROW]
[ROW][C]0.2[/C][C]1.83698469963022[/C][C]0.0057419670897004[/C][/ROW]
[ROW][C]0.21[/C][C]1.83818604956827[/C][C]0.00584437516909299[/C][/ROW]
[ROW][C]0.22[/C][C]1.83939185484835[/C][C]0.00594140638124954[/C][/ROW]
[ROW][C]0.23[/C][C]1.84060359618757[/C][C]0.00605513636060361[/C][/ROW]
[ROW][C]0.24[/C][C]1.84182570021311[/C][C]0.00620589286123247[/C][/ROW]
[ROW][C]0.25[/C][C]1.84306621268534[/C][C]0.00641448787030881[/C][/ROW]
[ROW][C]0.26[/C][C]1.84433702822435[/C][C]0.00670074249374016[/C][/ROW]
[ROW][C]0.27[/C][C]1.84565382622993[/C][C]0.00708944204090513[/C][/ROW]
[ROW][C]0.28[/C][C]1.84703577050465[/C][C]0.00760193606300498[/C][/ROW]
[ROW][C]0.29[/C][C]1.84850493454446[/C][C]0.00826099152895231[/C][/ROW]
[ROW][C]0.3[/C][C]1.85008537324003[/C][C]0.00908128735047617[/C][/ROW]
[ROW][C]0.31[/C][C]1.85180179844602[/C][C]0.0100608845104992[/C][/ROW]
[ROW][C]0.32[/C][C]1.85367791710549[/C][C]0.0111847725966946[/C][/ROW]
[ROW][C]0.33[/C][C]1.8557346168439[/C][C]0.0124239897147213[/C][/ROW]
[ROW][C]0.34[/C][C]1.85798828734673[/C][C]0.013737212915797[/C][/ROW]
[ROW][C]0.35[/C][C]1.86044960761072[/C][C]0.0150791238528672[/C][/ROW]
[ROW][C]0.36[/C][C]1.86312309103135[/C][C]0.0164053346149363[/C][/ROW]
[ROW][C]0.37[/C][C]1.86600756778715[/C][C]0.0176823971531377[/C][/ROW]
[ROW][C]0.38[/C][C]1.86909762217409[/C][C]0.0188879143090467[/C][/ROW]
[ROW][C]0.39[/C][C]1.87238582699687[/C][C]0.0200195492414169[/C][/ROW]
[ROW][C]0.4[/C][C]1.87586546365728[/C][C]0.0210968133243682[/C][/ROW]
[ROW][C]0.41[/C][C]1.8795333130199[/C][C]0.0221587210187001[/C][/ROW]
[ROW][C]0.42[/C][C]1.88339206391157[/C][C]0.0232551804379279[/C][/ROW]
[ROW][C]0.43[/C][C]1.88745191593762[/C][C]0.0244518501503963[/C][/ROW]
[ROW][C]0.44[/C][C]1.89173104380525[/C][C]0.0258073971437758[/C][/ROW]
[ROW][C]0.45[/C][C]1.89625472784074[/C][C]0.0273719744807313[/C][/ROW]
[ROW][C]0.46[/C][C]1.90105312304524[/C][C]0.0291720869573045[/C][/ROW]
[ROW][C]0.47[/C][C]1.90615781859173[/C][C]0.0312041656537256[/C][/ROW]
[ROW][C]0.48[/C][C]1.91159751176702[/C][C]0.0334317425742877[/C][/ROW]
[ROW][C]0.49[/C][C]1.91739326450777[/C][C]0.0357821292669968[/C][/ROW]
[ROW][C]0.5[/C][C]1.92355390604559[/C][C]0.0381509841942903[/C][/ROW]
[ROW][C]0.51[/C][C]1.93007217315321[/C][C]0.0404181635547117[/C][/ROW]
[ROW][C]0.52[/C][C]1.9369221278311[/C][C]0.0424486212205871[/C][/ROW]
[ROW][C]0.53[/C][C]1.94405825978924[/C][C]0.0441105328977255[/C][/ROW]
[ROW][C]0.54[/C][C]1.95141648094263[/C][C]0.0452898045742298[/C][/ROW]
[ROW][C]0.55[/C][C]1.95891697914207[/C][C]0.0458991418902622[/C][/ROW]
[ROW][C]0.56[/C][C]1.96646865703264[/C][C]0.0458830769774086[/C][/ROW]
[ROW][C]0.57[/C][C]1.9739746809261[/C][C]0.0452315823918331[/C][/ROW]
[ROW][C]0.58[/C][C]1.9813385391338[/C][C]0.0439709604913171[/C][/ROW]
[ROW][C]0.59[/C][C]1.98846997942427[/C][C]0.0421643598079435[/C][/ROW]
[ROW][C]0.6[/C][C]1.99529026088811[/C][C]0.0399069529295483[/C][/ROW]
[ROW][C]0.61[/C][C]2.0017362960792[/C][C]0.0373100069142276[/C][/ROW]
[ROW][C]0.62[/C][C]2.00776343990815[/C][C]0.0344950600420845[/C][/ROW]
[ROW][C]0.63[/C][C]2.01334686247638[/C][C]0.0315863096761392[/C][/ROW]
[ROW][C]0.64[/C][C]2.01848158951217[/C][C]0.0287029213541559[/C][/ROW]
[ROW][C]0.65[/C][C]2.02318138588452[/C][C]0.0259504180060411[/C][/ROW]
[ROW][C]0.66[/C][C]2.0274766921178[/C][C]0.0234199050940176[/C][/ROW]
[ROW][C]0.67[/C][C]2.03141181428168[/C][C]0.0211861122050577[/C][/ROW]
[ROW][C]0.68[/C][C]2.0350415373826[/C][C]0.0193078188875118[/C][/ROW]
[ROW][C]0.69[/C][C]2.03842730620601[/C][C]0.0178199844749216[/C][/ROW]
[ROW][C]0.7[/C][C]2.04163311365653[/C][C]0.016736377817646[/C][/ROW]
[ROW][C]0.71[/C][C]2.0447212613437[/C][C]0.0160371230285615[/C][/ROW]
[ROW][C]0.72[/C][C]2.04774820363553[/C][C]0.0156777449905184[/C][/ROW]
[ROW][C]0.73[/C][C]2.05076073747877[/C][C]0.0155811680541434[/C][/ROW]
[ROW][C]0.74[/C][C]2.05379283435611[/C][C]0.0156574601361365[/C][/ROW]
[ROW][C]0.75[/C][C]2.05686340907031[/C][C]0.0158034295266252[/C][/ROW]
[ROW][C]0.76[/C][C]2.05997527331994[/C][C]0.0159214876685164[/C][/ROW]
[ROW][C]0.77[/C][C]2.06311543418801[/C][C]0.0159253937898044[/C][/ROW]
[ROW][C]0.78[/C][C]2.06625678499656[/C][C]0.0157469676460345[/C][/ROW]
[ROW][C]0.79[/C][C]2.06936112087787[/C][C]0.0153408825898027[/C][/ROW]
[ROW][C]0.8[/C][C]2.07238331172627[/C][C]0.0146867714711068[/C][/ROW]
[ROW][C]0.81[/C][C]2.07527638276796[/C][C]0.0137906950467971[/C][/ROW]
[ROW][C]0.82[/C][C]2.07799716737905[/C][C]0.0126847472284423[/C][/ROW]
[ROW][C]0.83[/C][C]2.08051207103254[/C][C]0.0114253994536867[/C][/ROW]
[ROW][C]0.84[/C][C]2.08280228830329[/C][C]0.010086825899479[/C][/ROW]
[ROW][C]0.85[/C][C]2.0848675585227[/C][C]0.00876067911164234[/C][/ROW]
[ROW][C]0.86[/C][C]2.08672732331068[/C][C]0.00754631401721842[/C][/ROW]
[ROW][C]0.87[/C][C]2.08841815146743[/C][C]0.00653899324901488[/C][/ROW]
[ROW][C]0.88[/C][C]2.08998677425414[/C][C]0.00580923298266284[/C][/ROW]
[ROW][C]0.89[/C][C]2.09147922927473[/C][C]0.00536809700414501[/C][/ROW]
[ROW][C]0.9[/C][C]2.0929284383663[/C][C]0.005136559368022[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163315&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163315&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.11.823258452618890.00647872243773541
0.111.825213915929310.00585315493299378
0.121.826890096516550.00541988222698206
0.131.828371357388250.00514635690561347
0.141.829721508946660.00502300539432634
0.151.830988561435150.00503263209803113
0.161.832208120264770.0051407504319079
0.171.833405253226270.00530038105230521
0.181.834595796518730.0054690109725473
0.191.835787986211690.00561903567229059
0.21.836984699630220.0057419670897004
0.211.838186049568270.00584437516909299
0.221.839391854848350.00594140638124954
0.231.840603596187570.00605513636060361
0.241.841825700213110.00620589286123247
0.251.843066212685340.00641448787030881
0.261.844337028224350.00670074249374016
0.271.845653826229930.00708944204090513
0.281.847035770504650.00760193606300498
0.291.848504934544460.00826099152895231
0.31.850085373240030.00908128735047617
0.311.851801798446020.0100608845104992
0.321.853677917105490.0111847725966946
0.331.85573461684390.0124239897147213
0.341.857988287346730.013737212915797
0.351.860449607610720.0150791238528672
0.361.863123091031350.0164053346149363
0.371.866007567787150.0176823971531377
0.381.869097622174090.0188879143090467
0.391.872385826996870.0200195492414169
0.41.875865463657280.0210968133243682
0.411.87953331301990.0221587210187001
0.421.883392063911570.0232551804379279
0.431.887451915937620.0244518501503963
0.441.891731043805250.0258073971437758
0.451.896254727840740.0273719744807313
0.461.901053123045240.0291720869573045
0.471.906157818591730.0312041656537256
0.481.911597511767020.0334317425742877
0.491.917393264507770.0357821292669968
0.51.923553906045590.0381509841942903
0.511.930072173153210.0404181635547117
0.521.93692212783110.0424486212205871
0.531.944058259789240.0441105328977255
0.541.951416480942630.0452898045742298
0.551.958916979142070.0458991418902622
0.561.966468657032640.0458830769774086
0.571.97397468092610.0452315823918331
0.581.98133853913380.0439709604913171
0.591.988469979424270.0421643598079435
0.61.995290260888110.0399069529295483
0.612.00173629607920.0373100069142276
0.622.007763439908150.0344950600420845
0.632.013346862476380.0315863096761392
0.642.018481589512170.0287029213541559
0.652.023181385884520.0259504180060411
0.662.02747669211780.0234199050940176
0.672.031411814281680.0211861122050577
0.682.03504153738260.0193078188875118
0.692.038427306206010.0178199844749216
0.72.041633113656530.016736377817646
0.712.04472126134370.0160371230285615
0.722.047748203635530.0156777449905184
0.732.050760737478770.0155811680541434
0.742.053792834356110.0156574601361365
0.752.056863409070310.0158034295266252
0.762.059975273319940.0159214876685164
0.772.063115434188010.0159253937898044
0.782.066256784996560.0157469676460345
0.792.069361120877870.0153408825898027
0.82.072383311726270.0146867714711068
0.812.075276382767960.0137906950467971
0.822.077997167379050.0126847472284423
0.832.080512071032540.0114253994536867
0.842.082802288303290.010086825899479
0.852.08486755852270.00876067911164234
0.862.086727323310680.00754631401721842
0.872.088418151467430.00653899324901488
0.882.089986774254140.00580923298266284
0.892.091479229274730.00536809700414501
0.92.09292843836630.005136559368022



Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.1 ; par2 = 0.9 ; 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')