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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, 08 Mar 2009 07:17:52 -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/Mar/08/t12365183106ti8ygevvwx0enk.htm/, Retrieved Sun, 28 Apr 2024 09:28:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38670, Retrieved Sun, 28 Apr 2024 09:28:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact177

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] [Aantal werklozen ...] [2009-03-08 13:17:52] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
122.860
117.702
113.537
108.366
111.078
150.739
159.129
157.928
147.768
137.507
136.919
136.151
133.001
125.554
119.647
114.158
116.193
152.803
161.761
160.942
149.470
139.208
134.588
130.322
126.611
122.401
117.352
112.135
112.879
148.729
157.230
157.221
146.681
136.524
132.111
125.326
122.716
116.615
113.719
110.737
112.093
143.565
149.946
149.147
134.339
122.683
115.614
116.566
111.272
104.609
101.802
94.542
93.051
124.129
130.374
123.946
114.971
105.531
104.919
104.782
101.281
94.545
93.248
84.031
87.486
115.867
120.327
117.008
108.811
104.519
106.758
109.337

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' @ 72.249.127.135

\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' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38670&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38670&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38670&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0185.35089198435483.65712507201936
0.0287.42967566452013.85610045710328
0.0389.62021570974623.67679953369304
0.0491.57258119962023.33982019247029
0.0593.2407344466493.24459328900344
0.0694.7214148092033.48261364814885
0.0796.1214638040823.84536211911282
0.0897.49608876970484.10736280892712
0.0998.84360210689674.15258091008729
0.1100.1288349084533.97286361615802
0.11101.3112775816523.63226627388403
0.12102.3644792156273.22502075322319
0.13103.2832385019112.84072835171103
0.14104.0811935249462.54285252923673
0.15104.7834748965902.35899274747332
0.16105.4185632037882.28168662712341
0.17106.0119188837132.28036576033439
0.18106.5823648640622.31750896061013
0.19107.1410772877762.36074485758829
0.2107.6924604705132.38862948608386
0.21108.2360349885532.38995069512868
0.22108.7685853953172.36241585713736
0.23109.2860495080272.31020822831093
0.24109.7848811376132.2406879649538
0.25110.2628228701032.16282344541948
0.26110.7191609708512.08453344193289
0.27111.1546017974942.01245091791714
0.28111.5709237338061.95077382564615
0.29111.9705407033821.90121150149911
0.3112.3560806583801.86336529722237
0.31112.7300473454771.83550066913105
0.32113.0946025184811.81500216168735
0.33113.4514805809881.79926895352195
0.34113.8020279826691.78642369231664
0.35114.1473444140961.77551291189458
0.36114.4884911363331.76735333446786
0.37114.8267236257481.76398877589277
0.38115.1637018792981.76917771721982
0.39115.5016334113081.78735205218937
0.4115.8433122348831.82272164148644
0.41116.1920322118301.87920283117994
0.42116.5513739752651.95789168612628
0.43116.9248884883432.05796900864763
0.44117.3157231315992.17534264168259
0.45117.7262532536462.30344602628123
0.46118.1577889844652.43413852699508
0.47118.610420935002.55896178532135
0.48119.0830488142682.67075046199781
0.49119.5736065392212.76376672102039
0.5120.0794613222672.83573289757301
0.51120.5979294381842.88803760814124
0.52121.1268250780622.92582567810236
0.53121.6649466960052.95684087694600
0.54122.2124106234882.99113141932394
0.55122.7707641001543.03854285429567
0.56123.3428455132733.10733953822514
0.57123.9324022643413.20217321484149
0.58124.5435187684703.32308603169919
0.59125.1799413568713.46521173985110
0.6125.844407559263.61960290541444
0.61126.5380911198593.7742317979948
0.62127.2602607474563.91658709172678
0.63128.0082223618604.03433706828342
0.64128.7775759454514.11780109441761
0.65129.5627746187864.16191007882981
0.66130.3579307240654.16648003803229
0.67131.1577758735104.13654340658460
0.68131.9586518397684.08315131719878
0.69132.7593883757214.02172773119341
0.7133.5619142189163.97126284788067
0.71134.3714521262643.95119049082815
0.72135.1961740215693.97909301907672
0.73136.0462462119174.0655934196675
0.74136.9322832235184.21118960639238
0.75137.8633504817504.40341569843716
0.76138.8447956523294.61755401183852
0.77139.8763148950854.81891746959924
0.78140.9507307428404.96925328161423
0.79142.0539299562035.03286032235439
0.8143.166256093544.9844172003253
0.81144.2653774669264.8149822762406
0.82145.3302983702984.53616057347668
0.83146.3458213562634.17991388365230
0.84147.3064850355403.79647378968042
0.85148.2188762328943.44657444579199
0.86149.1013202111763.19052789567774
0.87149.9803573023963.06986558259768
0.88150.8841738885173.08672434923072
0.89151.8342499134173.19327056843599
0.9152.8376940144413.30664864442523
0.91153.8835217276363.33785545203959
0.92154.9456818734773.22490730307603
0.93155.9932641839832.95906113056453
0.94157.0042029733522.59572676636529
0.95157.9746612682252.23343276469910
0.96158.9152474083121.95078473634326
0.97159.8298630918581.72367336640891
0.98160.6827966482211.43596566986241
0.99161.3734088877241.06029690953199

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 85.3508919843548 & 3.65712507201936 \tabularnewline
0.02 & 87.4296756645201 & 3.85610045710328 \tabularnewline
0.03 & 89.6202157097462 & 3.67679953369304 \tabularnewline
0.04 & 91.5725811996202 & 3.33982019247029 \tabularnewline
0.05 & 93.240734446649 & 3.24459328900344 \tabularnewline
0.06 & 94.721414809203 & 3.48261364814885 \tabularnewline
0.07 & 96.121463804082 & 3.84536211911282 \tabularnewline
0.08 & 97.4960887697048 & 4.10736280892712 \tabularnewline
0.09 & 98.8436021068967 & 4.15258091008729 \tabularnewline
0.1 & 100.128834908453 & 3.97286361615802 \tabularnewline
0.11 & 101.311277581652 & 3.63226627388403 \tabularnewline
0.12 & 102.364479215627 & 3.22502075322319 \tabularnewline
0.13 & 103.283238501911 & 2.84072835171103 \tabularnewline
0.14 & 104.081193524946 & 2.54285252923673 \tabularnewline
0.15 & 104.783474896590 & 2.35899274747332 \tabularnewline
0.16 & 105.418563203788 & 2.28168662712341 \tabularnewline
0.17 & 106.011918883713 & 2.28036576033439 \tabularnewline
0.18 & 106.582364864062 & 2.31750896061013 \tabularnewline
0.19 & 107.141077287776 & 2.36074485758829 \tabularnewline
0.2 & 107.692460470513 & 2.38862948608386 \tabularnewline
0.21 & 108.236034988553 & 2.38995069512868 \tabularnewline
0.22 & 108.768585395317 & 2.36241585713736 \tabularnewline
0.23 & 109.286049508027 & 2.31020822831093 \tabularnewline
0.24 & 109.784881137613 & 2.2406879649538 \tabularnewline
0.25 & 110.262822870103 & 2.16282344541948 \tabularnewline
0.26 & 110.719160970851 & 2.08453344193289 \tabularnewline
0.27 & 111.154601797494 & 2.01245091791714 \tabularnewline
0.28 & 111.570923733806 & 1.95077382564615 \tabularnewline
0.29 & 111.970540703382 & 1.90121150149911 \tabularnewline
0.3 & 112.356080658380 & 1.86336529722237 \tabularnewline
0.31 & 112.730047345477 & 1.83550066913105 \tabularnewline
0.32 & 113.094602518481 & 1.81500216168735 \tabularnewline
0.33 & 113.451480580988 & 1.79926895352195 \tabularnewline
0.34 & 113.802027982669 & 1.78642369231664 \tabularnewline
0.35 & 114.147344414096 & 1.77551291189458 \tabularnewline
0.36 & 114.488491136333 & 1.76735333446786 \tabularnewline
0.37 & 114.826723625748 & 1.76398877589277 \tabularnewline
0.38 & 115.163701879298 & 1.76917771721982 \tabularnewline
0.39 & 115.501633411308 & 1.78735205218937 \tabularnewline
0.4 & 115.843312234883 & 1.82272164148644 \tabularnewline
0.41 & 116.192032211830 & 1.87920283117994 \tabularnewline
0.42 & 116.551373975265 & 1.95789168612628 \tabularnewline
0.43 & 116.924888488343 & 2.05796900864763 \tabularnewline
0.44 & 117.315723131599 & 2.17534264168259 \tabularnewline
0.45 & 117.726253253646 & 2.30344602628123 \tabularnewline
0.46 & 118.157788984465 & 2.43413852699508 \tabularnewline
0.47 & 118.61042093500 & 2.55896178532135 \tabularnewline
0.48 & 119.083048814268 & 2.67075046199781 \tabularnewline
0.49 & 119.573606539221 & 2.76376672102039 \tabularnewline
0.5 & 120.079461322267 & 2.83573289757301 \tabularnewline
0.51 & 120.597929438184 & 2.88803760814124 \tabularnewline
0.52 & 121.126825078062 & 2.92582567810236 \tabularnewline
0.53 & 121.664946696005 & 2.95684087694600 \tabularnewline
0.54 & 122.212410623488 & 2.99113141932394 \tabularnewline
0.55 & 122.770764100154 & 3.03854285429567 \tabularnewline
0.56 & 123.342845513273 & 3.10733953822514 \tabularnewline
0.57 & 123.932402264341 & 3.20217321484149 \tabularnewline
0.58 & 124.543518768470 & 3.32308603169919 \tabularnewline
0.59 & 125.179941356871 & 3.46521173985110 \tabularnewline
0.6 & 125.84440755926 & 3.61960290541444 \tabularnewline
0.61 & 126.538091119859 & 3.7742317979948 \tabularnewline
0.62 & 127.260260747456 & 3.91658709172678 \tabularnewline
0.63 & 128.008222361860 & 4.03433706828342 \tabularnewline
0.64 & 128.777575945451 & 4.11780109441761 \tabularnewline
0.65 & 129.562774618786 & 4.16191007882981 \tabularnewline
0.66 & 130.357930724065 & 4.16648003803229 \tabularnewline
0.67 & 131.157775873510 & 4.13654340658460 \tabularnewline
0.68 & 131.958651839768 & 4.08315131719878 \tabularnewline
0.69 & 132.759388375721 & 4.02172773119341 \tabularnewline
0.7 & 133.561914218916 & 3.97126284788067 \tabularnewline
0.71 & 134.371452126264 & 3.95119049082815 \tabularnewline
0.72 & 135.196174021569 & 3.97909301907672 \tabularnewline
0.73 & 136.046246211917 & 4.0655934196675 \tabularnewline
0.74 & 136.932283223518 & 4.21118960639238 \tabularnewline
0.75 & 137.863350481750 & 4.40341569843716 \tabularnewline
0.76 & 138.844795652329 & 4.61755401183852 \tabularnewline
0.77 & 139.876314895085 & 4.81891746959924 \tabularnewline
0.78 & 140.950730742840 & 4.96925328161423 \tabularnewline
0.79 & 142.053929956203 & 5.03286032235439 \tabularnewline
0.8 & 143.16625609354 & 4.9844172003253 \tabularnewline
0.81 & 144.265377466926 & 4.8149822762406 \tabularnewline
0.82 & 145.330298370298 & 4.53616057347668 \tabularnewline
0.83 & 146.345821356263 & 4.17991388365230 \tabularnewline
0.84 & 147.306485035540 & 3.79647378968042 \tabularnewline
0.85 & 148.218876232894 & 3.44657444579199 \tabularnewline
0.86 & 149.101320211176 & 3.19052789567774 \tabularnewline
0.87 & 149.980357302396 & 3.06986558259768 \tabularnewline
0.88 & 150.884173888517 & 3.08672434923072 \tabularnewline
0.89 & 151.834249913417 & 3.19327056843599 \tabularnewline
0.9 & 152.837694014441 & 3.30664864442523 \tabularnewline
0.91 & 153.883521727636 & 3.33785545203959 \tabularnewline
0.92 & 154.945681873477 & 3.22490730307603 \tabularnewline
0.93 & 155.993264183983 & 2.95906113056453 \tabularnewline
0.94 & 157.004202973352 & 2.59572676636529 \tabularnewline
0.95 & 157.974661268225 & 2.23343276469910 \tabularnewline
0.96 & 158.915247408312 & 1.95078473634326 \tabularnewline
0.97 & 159.829863091858 & 1.72367336640891 \tabularnewline
0.98 & 160.682796648221 & 1.43596566986241 \tabularnewline
0.99 & 161.373408887724 & 1.06029690953199 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38670&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]85.3508919843548[/C][C]3.65712507201936[/C][/ROW]
[ROW][C]0.02[/C][C]87.4296756645201[/C][C]3.85610045710328[/C][/ROW]
[ROW][C]0.03[/C][C]89.6202157097462[/C][C]3.67679953369304[/C][/ROW]
[ROW][C]0.04[/C][C]91.5725811996202[/C][C]3.33982019247029[/C][/ROW]
[ROW][C]0.05[/C][C]93.240734446649[/C][C]3.24459328900344[/C][/ROW]
[ROW][C]0.06[/C][C]94.721414809203[/C][C]3.48261364814885[/C][/ROW]
[ROW][C]0.07[/C][C]96.121463804082[/C][C]3.84536211911282[/C][/ROW]
[ROW][C]0.08[/C][C]97.4960887697048[/C][C]4.10736280892712[/C][/ROW]
[ROW][C]0.09[/C][C]98.8436021068967[/C][C]4.15258091008729[/C][/ROW]
[ROW][C]0.1[/C][C]100.128834908453[/C][C]3.97286361615802[/C][/ROW]
[ROW][C]0.11[/C][C]101.311277581652[/C][C]3.63226627388403[/C][/ROW]
[ROW][C]0.12[/C][C]102.364479215627[/C][C]3.22502075322319[/C][/ROW]
[ROW][C]0.13[/C][C]103.283238501911[/C][C]2.84072835171103[/C][/ROW]
[ROW][C]0.14[/C][C]104.081193524946[/C][C]2.54285252923673[/C][/ROW]
[ROW][C]0.15[/C][C]104.783474896590[/C][C]2.35899274747332[/C][/ROW]
[ROW][C]0.16[/C][C]105.418563203788[/C][C]2.28168662712341[/C][/ROW]
[ROW][C]0.17[/C][C]106.011918883713[/C][C]2.28036576033439[/C][/ROW]
[ROW][C]0.18[/C][C]106.582364864062[/C][C]2.31750896061013[/C][/ROW]
[ROW][C]0.19[/C][C]107.141077287776[/C][C]2.36074485758829[/C][/ROW]
[ROW][C]0.2[/C][C]107.692460470513[/C][C]2.38862948608386[/C][/ROW]
[ROW][C]0.21[/C][C]108.236034988553[/C][C]2.38995069512868[/C][/ROW]
[ROW][C]0.22[/C][C]108.768585395317[/C][C]2.36241585713736[/C][/ROW]
[ROW][C]0.23[/C][C]109.286049508027[/C][C]2.31020822831093[/C][/ROW]
[ROW][C]0.24[/C][C]109.784881137613[/C][C]2.2406879649538[/C][/ROW]
[ROW][C]0.25[/C][C]110.262822870103[/C][C]2.16282344541948[/C][/ROW]
[ROW][C]0.26[/C][C]110.719160970851[/C][C]2.08453344193289[/C][/ROW]
[ROW][C]0.27[/C][C]111.154601797494[/C][C]2.01245091791714[/C][/ROW]
[ROW][C]0.28[/C][C]111.570923733806[/C][C]1.95077382564615[/C][/ROW]
[ROW][C]0.29[/C][C]111.970540703382[/C][C]1.90121150149911[/C][/ROW]
[ROW][C]0.3[/C][C]112.356080658380[/C][C]1.86336529722237[/C][/ROW]
[ROW][C]0.31[/C][C]112.730047345477[/C][C]1.83550066913105[/C][/ROW]
[ROW][C]0.32[/C][C]113.094602518481[/C][C]1.81500216168735[/C][/ROW]
[ROW][C]0.33[/C][C]113.451480580988[/C][C]1.79926895352195[/C][/ROW]
[ROW][C]0.34[/C][C]113.802027982669[/C][C]1.78642369231664[/C][/ROW]
[ROW][C]0.35[/C][C]114.147344414096[/C][C]1.77551291189458[/C][/ROW]
[ROW][C]0.36[/C][C]114.488491136333[/C][C]1.76735333446786[/C][/ROW]
[ROW][C]0.37[/C][C]114.826723625748[/C][C]1.76398877589277[/C][/ROW]
[ROW][C]0.38[/C][C]115.163701879298[/C][C]1.76917771721982[/C][/ROW]
[ROW][C]0.39[/C][C]115.501633411308[/C][C]1.78735205218937[/C][/ROW]
[ROW][C]0.4[/C][C]115.843312234883[/C][C]1.82272164148644[/C][/ROW]
[ROW][C]0.41[/C][C]116.192032211830[/C][C]1.87920283117994[/C][/ROW]
[ROW][C]0.42[/C][C]116.551373975265[/C][C]1.95789168612628[/C][/ROW]
[ROW][C]0.43[/C][C]116.924888488343[/C][C]2.05796900864763[/C][/ROW]
[ROW][C]0.44[/C][C]117.315723131599[/C][C]2.17534264168259[/C][/ROW]
[ROW][C]0.45[/C][C]117.726253253646[/C][C]2.30344602628123[/C][/ROW]
[ROW][C]0.46[/C][C]118.157788984465[/C][C]2.43413852699508[/C][/ROW]
[ROW][C]0.47[/C][C]118.61042093500[/C][C]2.55896178532135[/C][/ROW]
[ROW][C]0.48[/C][C]119.083048814268[/C][C]2.67075046199781[/C][/ROW]
[ROW][C]0.49[/C][C]119.573606539221[/C][C]2.76376672102039[/C][/ROW]
[ROW][C]0.5[/C][C]120.079461322267[/C][C]2.83573289757301[/C][/ROW]
[ROW][C]0.51[/C][C]120.597929438184[/C][C]2.88803760814124[/C][/ROW]
[ROW][C]0.52[/C][C]121.126825078062[/C][C]2.92582567810236[/C][/ROW]
[ROW][C]0.53[/C][C]121.664946696005[/C][C]2.95684087694600[/C][/ROW]
[ROW][C]0.54[/C][C]122.212410623488[/C][C]2.99113141932394[/C][/ROW]
[ROW][C]0.55[/C][C]122.770764100154[/C][C]3.03854285429567[/C][/ROW]
[ROW][C]0.56[/C][C]123.342845513273[/C][C]3.10733953822514[/C][/ROW]
[ROW][C]0.57[/C][C]123.932402264341[/C][C]3.20217321484149[/C][/ROW]
[ROW][C]0.58[/C][C]124.543518768470[/C][C]3.32308603169919[/C][/ROW]
[ROW][C]0.59[/C][C]125.179941356871[/C][C]3.46521173985110[/C][/ROW]
[ROW][C]0.6[/C][C]125.84440755926[/C][C]3.61960290541444[/C][/ROW]
[ROW][C]0.61[/C][C]126.538091119859[/C][C]3.7742317979948[/C][/ROW]
[ROW][C]0.62[/C][C]127.260260747456[/C][C]3.91658709172678[/C][/ROW]
[ROW][C]0.63[/C][C]128.008222361860[/C][C]4.03433706828342[/C][/ROW]
[ROW][C]0.64[/C][C]128.777575945451[/C][C]4.11780109441761[/C][/ROW]
[ROW][C]0.65[/C][C]129.562774618786[/C][C]4.16191007882981[/C][/ROW]
[ROW][C]0.66[/C][C]130.357930724065[/C][C]4.16648003803229[/C][/ROW]
[ROW][C]0.67[/C][C]131.157775873510[/C][C]4.13654340658460[/C][/ROW]
[ROW][C]0.68[/C][C]131.958651839768[/C][C]4.08315131719878[/C][/ROW]
[ROW][C]0.69[/C][C]132.759388375721[/C][C]4.02172773119341[/C][/ROW]
[ROW][C]0.7[/C][C]133.561914218916[/C][C]3.97126284788067[/C][/ROW]
[ROW][C]0.71[/C][C]134.371452126264[/C][C]3.95119049082815[/C][/ROW]
[ROW][C]0.72[/C][C]135.196174021569[/C][C]3.97909301907672[/C][/ROW]
[ROW][C]0.73[/C][C]136.046246211917[/C][C]4.0655934196675[/C][/ROW]
[ROW][C]0.74[/C][C]136.932283223518[/C][C]4.21118960639238[/C][/ROW]
[ROW][C]0.75[/C][C]137.863350481750[/C][C]4.40341569843716[/C][/ROW]
[ROW][C]0.76[/C][C]138.844795652329[/C][C]4.61755401183852[/C][/ROW]
[ROW][C]0.77[/C][C]139.876314895085[/C][C]4.81891746959924[/C][/ROW]
[ROW][C]0.78[/C][C]140.950730742840[/C][C]4.96925328161423[/C][/ROW]
[ROW][C]0.79[/C][C]142.053929956203[/C][C]5.03286032235439[/C][/ROW]
[ROW][C]0.8[/C][C]143.16625609354[/C][C]4.9844172003253[/C][/ROW]
[ROW][C]0.81[/C][C]144.265377466926[/C][C]4.8149822762406[/C][/ROW]
[ROW][C]0.82[/C][C]145.330298370298[/C][C]4.53616057347668[/C][/ROW]
[ROW][C]0.83[/C][C]146.345821356263[/C][C]4.17991388365230[/C][/ROW]
[ROW][C]0.84[/C][C]147.306485035540[/C][C]3.79647378968042[/C][/ROW]
[ROW][C]0.85[/C][C]148.218876232894[/C][C]3.44657444579199[/C][/ROW]
[ROW][C]0.86[/C][C]149.101320211176[/C][C]3.19052789567774[/C][/ROW]
[ROW][C]0.87[/C][C]149.980357302396[/C][C]3.06986558259768[/C][/ROW]
[ROW][C]0.88[/C][C]150.884173888517[/C][C]3.08672434923072[/C][/ROW]
[ROW][C]0.89[/C][C]151.834249913417[/C][C]3.19327056843599[/C][/ROW]
[ROW][C]0.9[/C][C]152.837694014441[/C][C]3.30664864442523[/C][/ROW]
[ROW][C]0.91[/C][C]153.883521727636[/C][C]3.33785545203959[/C][/ROW]
[ROW][C]0.92[/C][C]154.945681873477[/C][C]3.22490730307603[/C][/ROW]
[ROW][C]0.93[/C][C]155.993264183983[/C][C]2.95906113056453[/C][/ROW]
[ROW][C]0.94[/C][C]157.004202973352[/C][C]2.59572676636529[/C][/ROW]
[ROW][C]0.95[/C][C]157.974661268225[/C][C]2.23343276469910[/C][/ROW]
[ROW][C]0.96[/C][C]158.915247408312[/C][C]1.95078473634326[/C][/ROW]
[ROW][C]0.97[/C][C]159.829863091858[/C][C]1.72367336640891[/C][/ROW]
[ROW][C]0.98[/C][C]160.682796648221[/C][C]1.43596566986241[/C][/ROW]
[ROW][C]0.99[/C][C]161.373408887724[/C][C]1.06029690953199[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38670&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38670&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
0.0185.35089198435483.65712507201936
0.0287.42967566452013.85610045710328
0.0389.62021570974623.67679953369304
0.0491.57258119962023.33982019247029
0.0593.2407344466493.24459328900344
0.0694.7214148092033.48261364814885
0.0796.1214638040823.84536211911282
0.0897.49608876970484.10736280892712
0.0998.84360210689674.15258091008729
0.1100.1288349084533.97286361615802
0.11101.3112775816523.63226627388403
0.12102.3644792156273.22502075322319
0.13103.2832385019112.84072835171103
0.14104.0811935249462.54285252923673
0.15104.7834748965902.35899274747332
0.16105.4185632037882.28168662712341
0.17106.0119188837132.28036576033439
0.18106.5823648640622.31750896061013
0.19107.1410772877762.36074485758829
0.2107.6924604705132.38862948608386
0.21108.2360349885532.38995069512868
0.22108.7685853953172.36241585713736
0.23109.2860495080272.31020822831093
0.24109.7848811376132.2406879649538
0.25110.2628228701032.16282344541948
0.26110.7191609708512.08453344193289
0.27111.1546017974942.01245091791714
0.28111.5709237338061.95077382564615
0.29111.9705407033821.90121150149911
0.3112.3560806583801.86336529722237
0.31112.7300473454771.83550066913105
0.32113.0946025184811.81500216168735
0.33113.4514805809881.79926895352195
0.34113.8020279826691.78642369231664
0.35114.1473444140961.77551291189458
0.36114.4884911363331.76735333446786
0.37114.8267236257481.76398877589277
0.38115.1637018792981.76917771721982
0.39115.5016334113081.78735205218937
0.4115.8433122348831.82272164148644
0.41116.1920322118301.87920283117994
0.42116.5513739752651.95789168612628
0.43116.9248884883432.05796900864763
0.44117.3157231315992.17534264168259
0.45117.7262532536462.30344602628123
0.46118.1577889844652.43413852699508
0.47118.610420935002.55896178532135
0.48119.0830488142682.67075046199781
0.49119.5736065392212.76376672102039
0.5120.0794613222672.83573289757301
0.51120.5979294381842.88803760814124
0.52121.1268250780622.92582567810236
0.53121.6649466960052.95684087694600
0.54122.2124106234882.99113141932394
0.55122.7707641001543.03854285429567
0.56123.3428455132733.10733953822514
0.57123.9324022643413.20217321484149
0.58124.5435187684703.32308603169919
0.59125.1799413568713.46521173985110
0.6125.844407559263.61960290541444
0.61126.5380911198593.7742317979948
0.62127.2602607474563.91658709172678
0.63128.0082223618604.03433706828342
0.64128.7775759454514.11780109441761
0.65129.5627746187864.16191007882981
0.66130.3579307240654.16648003803229
0.67131.1577758735104.13654340658460
0.68131.9586518397684.08315131719878
0.69132.7593883757214.02172773119341
0.7133.5619142189163.97126284788067
0.71134.3714521262643.95119049082815
0.72135.1961740215693.97909301907672
0.73136.0462462119174.0655934196675
0.74136.9322832235184.21118960639238
0.75137.8633504817504.40341569843716
0.76138.8447956523294.61755401183852
0.77139.8763148950854.81891746959924
0.78140.9507307428404.96925328161423
0.79142.0539299562035.03286032235439
0.8143.166256093544.9844172003253
0.81144.2653774669264.8149822762406
0.82145.3302983702984.53616057347668
0.83146.3458213562634.17991388365230
0.84147.3064850355403.79647378968042
0.85148.2188762328943.44657444579199
0.86149.1013202111763.19052789567774
0.87149.9803573023963.06986558259768
0.88150.8841738885173.08672434923072
0.89151.8342499134173.19327056843599
0.9152.8376940144413.30664864442523
0.91153.8835217276363.33785545203959
0.92154.9456818734773.22490730307603
0.93155.9932641839832.95906113056453
0.94157.0042029733522.59572676636529
0.95157.9746612682252.23343276469910
0.96158.9152474083121.95078473634326
0.97159.8298630918581.72367336640891
0.98160.6827966482211.43596566986241
0.99161.3734088877241.06029690953199


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')