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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 18 Dec 2009 07:38:01 -0700
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/Dec/18/t1261147106jgw4b9vb72ez7tw.htm/, Retrieved Sat, 27 Apr 2024 19:33:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=69378, Retrieved Sat, 27 Apr 2024 19:33:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact104

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD        [Harrell-Davis Quantiles] [hd werkl] [2009-12-18 14:38:01] [f47dffd5f5a8c03c3681db4cc9472742] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
286.445
288.576
293.299
295.881
292.710
271.993
267.430
273.963
273.046
268.347
264.319
255.765
246.263
245.098
246.969
248.333
247.934
226.839
225.554
237.085
237.080
245.039
248.541
247.105
243.422
250.643
254.663
260.993
258.556
235.372
246.057
253.353
255.198
264.176
269.034
265.861
269.826
278.506
292.300
290.726
289.802
271.311
274.352
275.216
276.836
280.408
280.190
282.656
281.477
288.186
292.300
291.186
287.259
264.993
267.140
270.150
275.037
277.103
277.128
277.915
276.687

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=69378&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=69378&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69378&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
0.01226.3734997430522.59486233530178
0.015227.0738973969733.45250193850256
0.02227.9381689079884.21114643518489
0.025228.9277525563894.7759710605571
0.03229.9997657828875.11570115003764
0.035231.1129090393825.24797516954233
0.04232.2315883184295.22046534883333
0.045233.3281494467075.09203525768604
0.05234.38343984514.91795836825369
0.055235.3861084500774.73988936837486
0.06236.3311276913374.58227830270376
0.065237.2179948799734.4519996040534
0.07238.0489773438984.34379950248564
0.075238.8276421713914.24563703230185
0.08239.5577883866594.14473925312228
0.085240.2427978287664.03055136137339
0.09240.8853510683053.8964645987638
0.095241.4874173038263.74012111233199
0.1242.0504171457753.56306130452691
0.105242.5754664349373.36975200594772
0.11243.0636293459353.16607810465546
0.115243.5161328896912.95919510896804
0.12243.934517489212.75601953024717
0.125244.3207166051592.56327086331744
0.13244.6770712508862.38679847548805
0.135245.0062927522992.23118011274609
0.14245.3113901305802.10005524401074
0.145245.5955782060711.99537611407701
0.15245.8621801607451.91870227375710
0.155246.1145349167441.86970519661829
0.16246.3559161027991.84778890009361
0.165246.5894661343931.85146292257074
0.17246.8181463304501.87900888057907
0.175247.0447021397951.92857161141089
0.18247.2716414281221.99752270250542
0.185247.5012232710792.08384469147795
0.19247.7354546615452.18549231158376
0.195247.97609281292.30045152015017
0.2248.2246511833152.42658151880064
0.205248.4824078441182.56211044233708
0.21248.7504152847982.70476203275372
0.215249.0295111358462.85318201212166
0.22249.3203295730123.00535286371513
0.225249.6233133385543.15948687846437
0.23249.9387263880493.31408646389582
0.235250.2666671661613.46777917844008
0.24250.6070824568503.61907125829227
0.245250.9597816688523.76687324578986
0.25251.3244513294843.91017795493403
0.255251.7006694879274.04791559759819
0.26252.0879196867054.17969149849162
0.265252.4856041545154.30464185028048
0.27252.893055906594.42217315403291
0.275253.3095495069694.53200288368534
0.28253.7343103429124.63382914261397
0.285254.1665223749024.72710376063392
0.29254.6053344444634.81162057657064
0.295255.0498653344594.88702439936289
0.3255.4992078717184.95275843561876
0.305255.9524324309725.00868791249967
0.31256.4085902360865.05426869429799
0.315256.8667168565175.08955154147356
0.32257.3258362642315.1129584113083
0.325257.784965752295.1252546678221
0.33258.243121927065.12587632057228
0.335258.6993278792575.1146307006305
0.34259.1526215239765.09169088131044
0.345259.6020649856415.05681311831327
0.35260.0467547993545.01052574691993
0.355260.4858326129594.95356364721227
0.36260.9184960101924.88595911418871
0.365261.3440090382114.80912098852342
0.37261.7617120143354.72346538245881
0.375262.1710302059764.63052440494994
0.38262.5714810221424.53145125054073
0.385262.9626794200304.42723999032799
0.39263.3443413107784.31950379691711
0.395263.7162848382054.20955930748539
0.4264.0784294972264.09883836345694
0.405264.4307931484863.98815918533144
0.41264.7734870676683.87913150741106
0.415265.1067092375293.77290288620124
0.42265.4307361452663.67063551759271
0.425265.7459133855753.57257576673467
0.43266.0526453904293.47959869186744
0.435266.3513846109523.39273802964606
0.44266.6426204664923.31179666631558
0.445266.9268683535183.2372675634819
0.45267.2046589751773.16938946675858
0.455267.4765282142113.10817771908875
0.46267.7430077304483.05282735743510
0.465268.0046164219293.00382231071425
0.47268.2618528481632.96058012230557
0.475268.5151886768552.92270705497647
0.48268.7650631828142.88948986934823
0.485269.0118788004292.86087583927137
0.49269.2559977091562.83624256147725
0.495269.4977394147362.81428698044744
0.5269.7373792767622.79520335292011
0.505269.9751479250512.77854700189989
0.51270.2112315021742.76309945110087
0.515270.4457726666722.74891182089579
0.52270.6788722902142.73459030171588
0.525270.9105917815812.72092193260011
0.53271.1409559705992.70648098372017
0.535271.3699564855162.69114418134601
0.54271.5975555580082.67492104857681
0.545271.8236901907562.65698569599765
0.55272.0482766236212.63771435941013
0.555272.271215035912.61622555636213
0.56272.4923944241802.59323317692537
0.565272.7116975974522.56778734648790
0.57272.9290062346752.54056142442498
0.575273.1442059524362.51135526771374
0.58273.3571913342982.48044300927303
0.585273.5678708762062.44819002920459
0.59273.7761718050022.41476242328486
0.595273.9820447288642.38008367815183
0.6274.1854680792442.34458154497684
0.605274.3864523034812.30924736653312
0.61274.5850437657282.27365225179254
0.615274.7813283114322.23875540214309
0.62274.9754344474862.20524366099179
0.625275.167536086952.17313441984789
0.63275.3578548042782.14317532066105
0.635275.5466615448852.11599069403996
0.64275.7342777319802.09240164374829
0.645275.9210757142722.07285602290102
0.65276.1074785003912.05767693484453
0.655276.2939587297152.04753963675235
0.66276.481036834162.04323850115187
0.665276.6692783510932.04568864184073
0.67276.8592903530812.05441292444843
0.675277.0517169651612.07059644223675
0.68277.2472339442942.0936395608612
0.685277.446542298532.12491941933151
0.69277.6503609256022.16343890200624
0.695277.859418253092.20985659940729
0.7278.0744428665942.26403918291405
0.705278.296153120692.32527402223467
0.71278.5252457423772.3936371252861
0.715278.762383461072.46847571297499
0.72279.0081817354572.54897492825246
0.725279.2631946977142.63470312940982
0.73279.5279005003422.72442141258733
0.735279.8026863295462.81738754826393
0.74280.0878334387582.91224117811991
0.745280.3835026515013.00773142411349
0.75280.6897208771483.10237104881717
0.755281.0063692666523.19449934398229
0.76281.3331736974663.28244100530849
0.765281.6696983059603.36491649003966
0.77282.0153427709223.43923795031266
0.775282.3693439839893.50437051396351
0.78282.7307826161843.55850628531487
0.785283.0985949027283.59999197330434
0.79283.4715897249563.62755718451150
0.795283.8484707785983.64029107807315
0.8284.2278632982263.63707191677472
0.805284.6083444799003.61778102115049
0.81284.9884764337883.58255164512789
0.815285.366840233723.53176426410035
0.82285.7420694386533.46601716642912
0.825286.1128813665063.38659178328747
0.83286.4781044224273.2953131490004
0.835286.8366999321983.19373850163986
0.84287.1877772085423.08412522893322
0.845287.5306009749352.96821494175461
0.85287.8645907696922.84817221655332
0.855288.1893125258592.72593976375422
0.86288.5044631369522.60322938824853
0.865288.8098494383172.48137105535512
0.87289.1053636219962.36144220122152
0.875289.3909576251362.24400278162693
0.88289.6666194596632.129466355044
0.885289.9323547650492.01768070114489
0.89290.1881770603111.90832793456180
0.895290.4341102559821.80106648179215
0.9290.6702069880931.69540864819004
0.905290.8965862894221.59080119000725
0.91291.1134940366181.48738071651798
0.915291.3213894511841.38504688835831
0.92291.521060459251.28480338313050
0.925291.7137693742081.18788982518732
0.93291.901427085911.09660739925253
0.935292.0867869788921.01387265983277
0.94292.2736367847770.943977816503307
0.945292.4669449886950.89257260446018
0.95292.6728869322820.866675860510975
0.955292.8986367541830.87465971892976
0.96293.1517745663750.92468057117635
0.965293.4391451427341.02345633647766
0.97293.7650501489771.17367286569423
0.975294.1288058562951.37304964148079
0.98294.5219916167061.61273610324594
0.985294.9261507502391.87620962958566
0.99295.312194521562.13892888279935

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 226.373499743052 & 2.59486233530178 \tabularnewline
0.015 & 227.073897396973 & 3.45250193850256 \tabularnewline
0.02 & 227.938168907988 & 4.21114643518489 \tabularnewline
0.025 & 228.927752556389 & 4.7759710605571 \tabularnewline
0.03 & 229.999765782887 & 5.11570115003764 \tabularnewline
0.035 & 231.112909039382 & 5.24797516954233 \tabularnewline
0.04 & 232.231588318429 & 5.22046534883333 \tabularnewline
0.045 & 233.328149446707 & 5.09203525768604 \tabularnewline
0.05 & 234.3834398451 & 4.91795836825369 \tabularnewline
0.055 & 235.386108450077 & 4.73988936837486 \tabularnewline
0.06 & 236.331127691337 & 4.58227830270376 \tabularnewline
0.065 & 237.217994879973 & 4.4519996040534 \tabularnewline
0.07 & 238.048977343898 & 4.34379950248564 \tabularnewline
0.075 & 238.827642171391 & 4.24563703230185 \tabularnewline
0.08 & 239.557788386659 & 4.14473925312228 \tabularnewline
0.085 & 240.242797828766 & 4.03055136137339 \tabularnewline
0.09 & 240.885351068305 & 3.8964645987638 \tabularnewline
0.095 & 241.487417303826 & 3.74012111233199 \tabularnewline
0.1 & 242.050417145775 & 3.56306130452691 \tabularnewline
0.105 & 242.575466434937 & 3.36975200594772 \tabularnewline
0.11 & 243.063629345935 & 3.16607810465546 \tabularnewline
0.115 & 243.516132889691 & 2.95919510896804 \tabularnewline
0.12 & 243.93451748921 & 2.75601953024717 \tabularnewline
0.125 & 244.320716605159 & 2.56327086331744 \tabularnewline
0.13 & 244.677071250886 & 2.38679847548805 \tabularnewline
0.135 & 245.006292752299 & 2.23118011274609 \tabularnewline
0.14 & 245.311390130580 & 2.10005524401074 \tabularnewline
0.145 & 245.595578206071 & 1.99537611407701 \tabularnewline
0.15 & 245.862180160745 & 1.91870227375710 \tabularnewline
0.155 & 246.114534916744 & 1.86970519661829 \tabularnewline
0.16 & 246.355916102799 & 1.84778890009361 \tabularnewline
0.165 & 246.589466134393 & 1.85146292257074 \tabularnewline
0.17 & 246.818146330450 & 1.87900888057907 \tabularnewline
0.175 & 247.044702139795 & 1.92857161141089 \tabularnewline
0.18 & 247.271641428122 & 1.99752270250542 \tabularnewline
0.185 & 247.501223271079 & 2.08384469147795 \tabularnewline
0.19 & 247.735454661545 & 2.18549231158376 \tabularnewline
0.195 & 247.9760928129 & 2.30045152015017 \tabularnewline
0.2 & 248.224651183315 & 2.42658151880064 \tabularnewline
0.205 & 248.482407844118 & 2.56211044233708 \tabularnewline
0.21 & 248.750415284798 & 2.70476203275372 \tabularnewline
0.215 & 249.029511135846 & 2.85318201212166 \tabularnewline
0.22 & 249.320329573012 & 3.00535286371513 \tabularnewline
0.225 & 249.623313338554 & 3.15948687846437 \tabularnewline
0.23 & 249.938726388049 & 3.31408646389582 \tabularnewline
0.235 & 250.266667166161 & 3.46777917844008 \tabularnewline
0.24 & 250.607082456850 & 3.61907125829227 \tabularnewline
0.245 & 250.959781668852 & 3.76687324578986 \tabularnewline
0.25 & 251.324451329484 & 3.91017795493403 \tabularnewline
0.255 & 251.700669487927 & 4.04791559759819 \tabularnewline
0.26 & 252.087919686705 & 4.17969149849162 \tabularnewline
0.265 & 252.485604154515 & 4.30464185028048 \tabularnewline
0.27 & 252.89305590659 & 4.42217315403291 \tabularnewline
0.275 & 253.309549506969 & 4.53200288368534 \tabularnewline
0.28 & 253.734310342912 & 4.63382914261397 \tabularnewline
0.285 & 254.166522374902 & 4.72710376063392 \tabularnewline
0.29 & 254.605334444463 & 4.81162057657064 \tabularnewline
0.295 & 255.049865334459 & 4.88702439936289 \tabularnewline
0.3 & 255.499207871718 & 4.95275843561876 \tabularnewline
0.305 & 255.952432430972 & 5.00868791249967 \tabularnewline
0.31 & 256.408590236086 & 5.05426869429799 \tabularnewline
0.315 & 256.866716856517 & 5.08955154147356 \tabularnewline
0.32 & 257.325836264231 & 5.1129584113083 \tabularnewline
0.325 & 257.78496575229 & 5.1252546678221 \tabularnewline
0.33 & 258.24312192706 & 5.12587632057228 \tabularnewline
0.335 & 258.699327879257 & 5.1146307006305 \tabularnewline
0.34 & 259.152621523976 & 5.09169088131044 \tabularnewline
0.345 & 259.602064985641 & 5.05681311831327 \tabularnewline
0.35 & 260.046754799354 & 5.01052574691993 \tabularnewline
0.355 & 260.485832612959 & 4.95356364721227 \tabularnewline
0.36 & 260.918496010192 & 4.88595911418871 \tabularnewline
0.365 & 261.344009038211 & 4.80912098852342 \tabularnewline
0.37 & 261.761712014335 & 4.72346538245881 \tabularnewline
0.375 & 262.171030205976 & 4.63052440494994 \tabularnewline
0.38 & 262.571481022142 & 4.53145125054073 \tabularnewline
0.385 & 262.962679420030 & 4.42723999032799 \tabularnewline
0.39 & 263.344341310778 & 4.31950379691711 \tabularnewline
0.395 & 263.716284838205 & 4.20955930748539 \tabularnewline
0.4 & 264.078429497226 & 4.09883836345694 \tabularnewline
0.405 & 264.430793148486 & 3.98815918533144 \tabularnewline
0.41 & 264.773487067668 & 3.87913150741106 \tabularnewline
0.415 & 265.106709237529 & 3.77290288620124 \tabularnewline
0.42 & 265.430736145266 & 3.67063551759271 \tabularnewline
0.425 & 265.745913385575 & 3.57257576673467 \tabularnewline
0.43 & 266.052645390429 & 3.47959869186744 \tabularnewline
0.435 & 266.351384610952 & 3.39273802964606 \tabularnewline
0.44 & 266.642620466492 & 3.31179666631558 \tabularnewline
0.445 & 266.926868353518 & 3.2372675634819 \tabularnewline
0.45 & 267.204658975177 & 3.16938946675858 \tabularnewline
0.455 & 267.476528214211 & 3.10817771908875 \tabularnewline
0.46 & 267.743007730448 & 3.05282735743510 \tabularnewline
0.465 & 268.004616421929 & 3.00382231071425 \tabularnewline
0.47 & 268.261852848163 & 2.96058012230557 \tabularnewline
0.475 & 268.515188676855 & 2.92270705497647 \tabularnewline
0.48 & 268.765063182814 & 2.88948986934823 \tabularnewline
0.485 & 269.011878800429 & 2.86087583927137 \tabularnewline
0.49 & 269.255997709156 & 2.83624256147725 \tabularnewline
0.495 & 269.497739414736 & 2.81428698044744 \tabularnewline
0.5 & 269.737379276762 & 2.79520335292011 \tabularnewline
0.505 & 269.975147925051 & 2.77854700189989 \tabularnewline
0.51 & 270.211231502174 & 2.76309945110087 \tabularnewline
0.515 & 270.445772666672 & 2.74891182089579 \tabularnewline
0.52 & 270.678872290214 & 2.73459030171588 \tabularnewline
0.525 & 270.910591781581 & 2.72092193260011 \tabularnewline
0.53 & 271.140955970599 & 2.70648098372017 \tabularnewline
0.535 & 271.369956485516 & 2.69114418134601 \tabularnewline
0.54 & 271.597555558008 & 2.67492104857681 \tabularnewline
0.545 & 271.823690190756 & 2.65698569599765 \tabularnewline
0.55 & 272.048276623621 & 2.63771435941013 \tabularnewline
0.555 & 272.27121503591 & 2.61622555636213 \tabularnewline
0.56 & 272.492394424180 & 2.59323317692537 \tabularnewline
0.565 & 272.711697597452 & 2.56778734648790 \tabularnewline
0.57 & 272.929006234675 & 2.54056142442498 \tabularnewline
0.575 & 273.144205952436 & 2.51135526771374 \tabularnewline
0.58 & 273.357191334298 & 2.48044300927303 \tabularnewline
0.585 & 273.567870876206 & 2.44819002920459 \tabularnewline
0.59 & 273.776171805002 & 2.41476242328486 \tabularnewline
0.595 & 273.982044728864 & 2.38008367815183 \tabularnewline
0.6 & 274.185468079244 & 2.34458154497684 \tabularnewline
0.605 & 274.386452303481 & 2.30924736653312 \tabularnewline
0.61 & 274.585043765728 & 2.27365225179254 \tabularnewline
0.615 & 274.781328311432 & 2.23875540214309 \tabularnewline
0.62 & 274.975434447486 & 2.20524366099179 \tabularnewline
0.625 & 275.16753608695 & 2.17313441984789 \tabularnewline
0.63 & 275.357854804278 & 2.14317532066105 \tabularnewline
0.635 & 275.546661544885 & 2.11599069403996 \tabularnewline
0.64 & 275.734277731980 & 2.09240164374829 \tabularnewline
0.645 & 275.921075714272 & 2.07285602290102 \tabularnewline
0.65 & 276.107478500391 & 2.05767693484453 \tabularnewline
0.655 & 276.293958729715 & 2.04753963675235 \tabularnewline
0.66 & 276.48103683416 & 2.04323850115187 \tabularnewline
0.665 & 276.669278351093 & 2.04568864184073 \tabularnewline
0.67 & 276.859290353081 & 2.05441292444843 \tabularnewline
0.675 & 277.051716965161 & 2.07059644223675 \tabularnewline
0.68 & 277.247233944294 & 2.0936395608612 \tabularnewline
0.685 & 277.44654229853 & 2.12491941933151 \tabularnewline
0.69 & 277.650360925602 & 2.16343890200624 \tabularnewline
0.695 & 277.85941825309 & 2.20985659940729 \tabularnewline
0.7 & 278.074442866594 & 2.26403918291405 \tabularnewline
0.705 & 278.29615312069 & 2.32527402223467 \tabularnewline
0.71 & 278.525245742377 & 2.3936371252861 \tabularnewline
0.715 & 278.76238346107 & 2.46847571297499 \tabularnewline
0.72 & 279.008181735457 & 2.54897492825246 \tabularnewline
0.725 & 279.263194697714 & 2.63470312940982 \tabularnewline
0.73 & 279.527900500342 & 2.72442141258733 \tabularnewline
0.735 & 279.802686329546 & 2.81738754826393 \tabularnewline
0.74 & 280.087833438758 & 2.91224117811991 \tabularnewline
0.745 & 280.383502651501 & 3.00773142411349 \tabularnewline
0.75 & 280.689720877148 & 3.10237104881717 \tabularnewline
0.755 & 281.006369266652 & 3.19449934398229 \tabularnewline
0.76 & 281.333173697466 & 3.28244100530849 \tabularnewline
0.765 & 281.669698305960 & 3.36491649003966 \tabularnewline
0.77 & 282.015342770922 & 3.43923795031266 \tabularnewline
0.775 & 282.369343983989 & 3.50437051396351 \tabularnewline
0.78 & 282.730782616184 & 3.55850628531487 \tabularnewline
0.785 & 283.098594902728 & 3.59999197330434 \tabularnewline
0.79 & 283.471589724956 & 3.62755718451150 \tabularnewline
0.795 & 283.848470778598 & 3.64029107807315 \tabularnewline
0.8 & 284.227863298226 & 3.63707191677472 \tabularnewline
0.805 & 284.608344479900 & 3.61778102115049 \tabularnewline
0.81 & 284.988476433788 & 3.58255164512789 \tabularnewline
0.815 & 285.36684023372 & 3.53176426410035 \tabularnewline
0.82 & 285.742069438653 & 3.46601716642912 \tabularnewline
0.825 & 286.112881366506 & 3.38659178328747 \tabularnewline
0.83 & 286.478104422427 & 3.2953131490004 \tabularnewline
0.835 & 286.836699932198 & 3.19373850163986 \tabularnewline
0.84 & 287.187777208542 & 3.08412522893322 \tabularnewline
0.845 & 287.530600974935 & 2.96821494175461 \tabularnewline
0.85 & 287.864590769692 & 2.84817221655332 \tabularnewline
0.855 & 288.189312525859 & 2.72593976375422 \tabularnewline
0.86 & 288.504463136952 & 2.60322938824853 \tabularnewline
0.865 & 288.809849438317 & 2.48137105535512 \tabularnewline
0.87 & 289.105363621996 & 2.36144220122152 \tabularnewline
0.875 & 289.390957625136 & 2.24400278162693 \tabularnewline
0.88 & 289.666619459663 & 2.129466355044 \tabularnewline
0.885 & 289.932354765049 & 2.01768070114489 \tabularnewline
0.89 & 290.188177060311 & 1.90832793456180 \tabularnewline
0.895 & 290.434110255982 & 1.80106648179215 \tabularnewline
0.9 & 290.670206988093 & 1.69540864819004 \tabularnewline
0.905 & 290.896586289422 & 1.59080119000725 \tabularnewline
0.91 & 291.113494036618 & 1.48738071651798 \tabularnewline
0.915 & 291.321389451184 & 1.38504688835831 \tabularnewline
0.92 & 291.52106045925 & 1.28480338313050 \tabularnewline
0.925 & 291.713769374208 & 1.18788982518732 \tabularnewline
0.93 & 291.90142708591 & 1.09660739925253 \tabularnewline
0.935 & 292.086786978892 & 1.01387265983277 \tabularnewline
0.94 & 292.273636784777 & 0.943977816503307 \tabularnewline
0.945 & 292.466944988695 & 0.89257260446018 \tabularnewline
0.95 & 292.672886932282 & 0.866675860510975 \tabularnewline
0.955 & 292.898636754183 & 0.87465971892976 \tabularnewline
0.96 & 293.151774566375 & 0.92468057117635 \tabularnewline
0.965 & 293.439145142734 & 1.02345633647766 \tabularnewline
0.97 & 293.765050148977 & 1.17367286569423 \tabularnewline
0.975 & 294.128805856295 & 1.37304964148079 \tabularnewline
0.98 & 294.521991616706 & 1.61273610324594 \tabularnewline
0.985 & 294.926150750239 & 1.87620962958566 \tabularnewline
0.99 & 295.31219452156 & 2.13892888279935 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=69378&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]226.373499743052[/C][C]2.59486233530178[/C][/ROW]
[ROW][C]0.015[/C][C]227.073897396973[/C][C]3.45250193850256[/C][/ROW]
[ROW][C]0.02[/C][C]227.938168907988[/C][C]4.21114643518489[/C][/ROW]
[ROW][C]0.025[/C][C]228.927752556389[/C][C]4.7759710605571[/C][/ROW]
[ROW][C]0.03[/C][C]229.999765782887[/C][C]5.11570115003764[/C][/ROW]
[ROW][C]0.035[/C][C]231.112909039382[/C][C]5.24797516954233[/C][/ROW]
[ROW][C]0.04[/C][C]232.231588318429[/C][C]5.22046534883333[/C][/ROW]
[ROW][C]0.045[/C][C]233.328149446707[/C][C]5.09203525768604[/C][/ROW]
[ROW][C]0.05[/C][C]234.3834398451[/C][C]4.91795836825369[/C][/ROW]
[ROW][C]0.055[/C][C]235.386108450077[/C][C]4.73988936837486[/C][/ROW]
[ROW][C]0.06[/C][C]236.331127691337[/C][C]4.58227830270376[/C][/ROW]
[ROW][C]0.065[/C][C]237.217994879973[/C][C]4.4519996040534[/C][/ROW]
[ROW][C]0.07[/C][C]238.048977343898[/C][C]4.34379950248564[/C][/ROW]
[ROW][C]0.075[/C][C]238.827642171391[/C][C]4.24563703230185[/C][/ROW]
[ROW][C]0.08[/C][C]239.557788386659[/C][C]4.14473925312228[/C][/ROW]
[ROW][C]0.085[/C][C]240.242797828766[/C][C]4.03055136137339[/C][/ROW]
[ROW][C]0.09[/C][C]240.885351068305[/C][C]3.8964645987638[/C][/ROW]
[ROW][C]0.095[/C][C]241.487417303826[/C][C]3.74012111233199[/C][/ROW]
[ROW][C]0.1[/C][C]242.050417145775[/C][C]3.56306130452691[/C][/ROW]
[ROW][C]0.105[/C][C]242.575466434937[/C][C]3.36975200594772[/C][/ROW]
[ROW][C]0.11[/C][C]243.063629345935[/C][C]3.16607810465546[/C][/ROW]
[ROW][C]0.115[/C][C]243.516132889691[/C][C]2.95919510896804[/C][/ROW]
[ROW][C]0.12[/C][C]243.93451748921[/C][C]2.75601953024717[/C][/ROW]
[ROW][C]0.125[/C][C]244.320716605159[/C][C]2.56327086331744[/C][/ROW]
[ROW][C]0.13[/C][C]244.677071250886[/C][C]2.38679847548805[/C][/ROW]
[ROW][C]0.135[/C][C]245.006292752299[/C][C]2.23118011274609[/C][/ROW]
[ROW][C]0.14[/C][C]245.311390130580[/C][C]2.10005524401074[/C][/ROW]
[ROW][C]0.145[/C][C]245.595578206071[/C][C]1.99537611407701[/C][/ROW]
[ROW][C]0.15[/C][C]245.862180160745[/C][C]1.91870227375710[/C][/ROW]
[ROW][C]0.155[/C][C]246.114534916744[/C][C]1.86970519661829[/C][/ROW]
[ROW][C]0.16[/C][C]246.355916102799[/C][C]1.84778890009361[/C][/ROW]
[ROW][C]0.165[/C][C]246.589466134393[/C][C]1.85146292257074[/C][/ROW]
[ROW][C]0.17[/C][C]246.818146330450[/C][C]1.87900888057907[/C][/ROW]
[ROW][C]0.175[/C][C]247.044702139795[/C][C]1.92857161141089[/C][/ROW]
[ROW][C]0.18[/C][C]247.271641428122[/C][C]1.99752270250542[/C][/ROW]
[ROW][C]0.185[/C][C]247.501223271079[/C][C]2.08384469147795[/C][/ROW]
[ROW][C]0.19[/C][C]247.735454661545[/C][C]2.18549231158376[/C][/ROW]
[ROW][C]0.195[/C][C]247.9760928129[/C][C]2.30045152015017[/C][/ROW]
[ROW][C]0.2[/C][C]248.224651183315[/C][C]2.42658151880064[/C][/ROW]
[ROW][C]0.205[/C][C]248.482407844118[/C][C]2.56211044233708[/C][/ROW]
[ROW][C]0.21[/C][C]248.750415284798[/C][C]2.70476203275372[/C][/ROW]
[ROW][C]0.215[/C][C]249.029511135846[/C][C]2.85318201212166[/C][/ROW]
[ROW][C]0.22[/C][C]249.320329573012[/C][C]3.00535286371513[/C][/ROW]
[ROW][C]0.225[/C][C]249.623313338554[/C][C]3.15948687846437[/C][/ROW]
[ROW][C]0.23[/C][C]249.938726388049[/C][C]3.31408646389582[/C][/ROW]
[ROW][C]0.235[/C][C]250.266667166161[/C][C]3.46777917844008[/C][/ROW]
[ROW][C]0.24[/C][C]250.607082456850[/C][C]3.61907125829227[/C][/ROW]
[ROW][C]0.245[/C][C]250.959781668852[/C][C]3.76687324578986[/C][/ROW]
[ROW][C]0.25[/C][C]251.324451329484[/C][C]3.91017795493403[/C][/ROW]
[ROW][C]0.255[/C][C]251.700669487927[/C][C]4.04791559759819[/C][/ROW]
[ROW][C]0.26[/C][C]252.087919686705[/C][C]4.17969149849162[/C][/ROW]
[ROW][C]0.265[/C][C]252.485604154515[/C][C]4.30464185028048[/C][/ROW]
[ROW][C]0.27[/C][C]252.89305590659[/C][C]4.42217315403291[/C][/ROW]
[ROW][C]0.275[/C][C]253.309549506969[/C][C]4.53200288368534[/C][/ROW]
[ROW][C]0.28[/C][C]253.734310342912[/C][C]4.63382914261397[/C][/ROW]
[ROW][C]0.285[/C][C]254.166522374902[/C][C]4.72710376063392[/C][/ROW]
[ROW][C]0.29[/C][C]254.605334444463[/C][C]4.81162057657064[/C][/ROW]
[ROW][C]0.295[/C][C]255.049865334459[/C][C]4.88702439936289[/C][/ROW]
[ROW][C]0.3[/C][C]255.499207871718[/C][C]4.95275843561876[/C][/ROW]
[ROW][C]0.305[/C][C]255.952432430972[/C][C]5.00868791249967[/C][/ROW]
[ROW][C]0.31[/C][C]256.408590236086[/C][C]5.05426869429799[/C][/ROW]
[ROW][C]0.315[/C][C]256.866716856517[/C][C]5.08955154147356[/C][/ROW]
[ROW][C]0.32[/C][C]257.325836264231[/C][C]5.1129584113083[/C][/ROW]
[ROW][C]0.325[/C][C]257.78496575229[/C][C]5.1252546678221[/C][/ROW]
[ROW][C]0.33[/C][C]258.24312192706[/C][C]5.12587632057228[/C][/ROW]
[ROW][C]0.335[/C][C]258.699327879257[/C][C]5.1146307006305[/C][/ROW]
[ROW][C]0.34[/C][C]259.152621523976[/C][C]5.09169088131044[/C][/ROW]
[ROW][C]0.345[/C][C]259.602064985641[/C][C]5.05681311831327[/C][/ROW]
[ROW][C]0.35[/C][C]260.046754799354[/C][C]5.01052574691993[/C][/ROW]
[ROW][C]0.355[/C][C]260.485832612959[/C][C]4.95356364721227[/C][/ROW]
[ROW][C]0.36[/C][C]260.918496010192[/C][C]4.88595911418871[/C][/ROW]
[ROW][C]0.365[/C][C]261.344009038211[/C][C]4.80912098852342[/C][/ROW]
[ROW][C]0.37[/C][C]261.761712014335[/C][C]4.72346538245881[/C][/ROW]
[ROW][C]0.375[/C][C]262.171030205976[/C][C]4.63052440494994[/C][/ROW]
[ROW][C]0.38[/C][C]262.571481022142[/C][C]4.53145125054073[/C][/ROW]
[ROW][C]0.385[/C][C]262.962679420030[/C][C]4.42723999032799[/C][/ROW]
[ROW][C]0.39[/C][C]263.344341310778[/C][C]4.31950379691711[/C][/ROW]
[ROW][C]0.395[/C][C]263.716284838205[/C][C]4.20955930748539[/C][/ROW]
[ROW][C]0.4[/C][C]264.078429497226[/C][C]4.09883836345694[/C][/ROW]
[ROW][C]0.405[/C][C]264.430793148486[/C][C]3.98815918533144[/C][/ROW]
[ROW][C]0.41[/C][C]264.773487067668[/C][C]3.87913150741106[/C][/ROW]
[ROW][C]0.415[/C][C]265.106709237529[/C][C]3.77290288620124[/C][/ROW]
[ROW][C]0.42[/C][C]265.430736145266[/C][C]3.67063551759271[/C][/ROW]
[ROW][C]0.425[/C][C]265.745913385575[/C][C]3.57257576673467[/C][/ROW]
[ROW][C]0.43[/C][C]266.052645390429[/C][C]3.47959869186744[/C][/ROW]
[ROW][C]0.435[/C][C]266.351384610952[/C][C]3.39273802964606[/C][/ROW]
[ROW][C]0.44[/C][C]266.642620466492[/C][C]3.31179666631558[/C][/ROW]
[ROW][C]0.445[/C][C]266.926868353518[/C][C]3.2372675634819[/C][/ROW]
[ROW][C]0.45[/C][C]267.204658975177[/C][C]3.16938946675858[/C][/ROW]
[ROW][C]0.455[/C][C]267.476528214211[/C][C]3.10817771908875[/C][/ROW]
[ROW][C]0.46[/C][C]267.743007730448[/C][C]3.05282735743510[/C][/ROW]
[ROW][C]0.465[/C][C]268.004616421929[/C][C]3.00382231071425[/C][/ROW]
[ROW][C]0.47[/C][C]268.261852848163[/C][C]2.96058012230557[/C][/ROW]
[ROW][C]0.475[/C][C]268.515188676855[/C][C]2.92270705497647[/C][/ROW]
[ROW][C]0.48[/C][C]268.765063182814[/C][C]2.88948986934823[/C][/ROW]
[ROW][C]0.485[/C][C]269.011878800429[/C][C]2.86087583927137[/C][/ROW]
[ROW][C]0.49[/C][C]269.255997709156[/C][C]2.83624256147725[/C][/ROW]
[ROW][C]0.495[/C][C]269.497739414736[/C][C]2.81428698044744[/C][/ROW]
[ROW][C]0.5[/C][C]269.737379276762[/C][C]2.79520335292011[/C][/ROW]
[ROW][C]0.505[/C][C]269.975147925051[/C][C]2.77854700189989[/C][/ROW]
[ROW][C]0.51[/C][C]270.211231502174[/C][C]2.76309945110087[/C][/ROW]
[ROW][C]0.515[/C][C]270.445772666672[/C][C]2.74891182089579[/C][/ROW]
[ROW][C]0.52[/C][C]270.678872290214[/C][C]2.73459030171588[/C][/ROW]
[ROW][C]0.525[/C][C]270.910591781581[/C][C]2.72092193260011[/C][/ROW]
[ROW][C]0.53[/C][C]271.140955970599[/C][C]2.70648098372017[/C][/ROW]
[ROW][C]0.535[/C][C]271.369956485516[/C][C]2.69114418134601[/C][/ROW]
[ROW][C]0.54[/C][C]271.597555558008[/C][C]2.67492104857681[/C][/ROW]
[ROW][C]0.545[/C][C]271.823690190756[/C][C]2.65698569599765[/C][/ROW]
[ROW][C]0.55[/C][C]272.048276623621[/C][C]2.63771435941013[/C][/ROW]
[ROW][C]0.555[/C][C]272.27121503591[/C][C]2.61622555636213[/C][/ROW]
[ROW][C]0.56[/C][C]272.492394424180[/C][C]2.59323317692537[/C][/ROW]
[ROW][C]0.565[/C][C]272.711697597452[/C][C]2.56778734648790[/C][/ROW]
[ROW][C]0.57[/C][C]272.929006234675[/C][C]2.54056142442498[/C][/ROW]
[ROW][C]0.575[/C][C]273.144205952436[/C][C]2.51135526771374[/C][/ROW]
[ROW][C]0.58[/C][C]273.357191334298[/C][C]2.48044300927303[/C][/ROW]
[ROW][C]0.585[/C][C]273.567870876206[/C][C]2.44819002920459[/C][/ROW]
[ROW][C]0.59[/C][C]273.776171805002[/C][C]2.41476242328486[/C][/ROW]
[ROW][C]0.595[/C][C]273.982044728864[/C][C]2.38008367815183[/C][/ROW]
[ROW][C]0.6[/C][C]274.185468079244[/C][C]2.34458154497684[/C][/ROW]
[ROW][C]0.605[/C][C]274.386452303481[/C][C]2.30924736653312[/C][/ROW]
[ROW][C]0.61[/C][C]274.585043765728[/C][C]2.27365225179254[/C][/ROW]
[ROW][C]0.615[/C][C]274.781328311432[/C][C]2.23875540214309[/C][/ROW]
[ROW][C]0.62[/C][C]274.975434447486[/C][C]2.20524366099179[/C][/ROW]
[ROW][C]0.625[/C][C]275.16753608695[/C][C]2.17313441984789[/C][/ROW]
[ROW][C]0.63[/C][C]275.357854804278[/C][C]2.14317532066105[/C][/ROW]
[ROW][C]0.635[/C][C]275.546661544885[/C][C]2.11599069403996[/C][/ROW]
[ROW][C]0.64[/C][C]275.734277731980[/C][C]2.09240164374829[/C][/ROW]
[ROW][C]0.645[/C][C]275.921075714272[/C][C]2.07285602290102[/C][/ROW]
[ROW][C]0.65[/C][C]276.107478500391[/C][C]2.05767693484453[/C][/ROW]
[ROW][C]0.655[/C][C]276.293958729715[/C][C]2.04753963675235[/C][/ROW]
[ROW][C]0.66[/C][C]276.48103683416[/C][C]2.04323850115187[/C][/ROW]
[ROW][C]0.665[/C][C]276.669278351093[/C][C]2.04568864184073[/C][/ROW]
[ROW][C]0.67[/C][C]276.859290353081[/C][C]2.05441292444843[/C][/ROW]
[ROW][C]0.675[/C][C]277.051716965161[/C][C]2.07059644223675[/C][/ROW]
[ROW][C]0.68[/C][C]277.247233944294[/C][C]2.0936395608612[/C][/ROW]
[ROW][C]0.685[/C][C]277.44654229853[/C][C]2.12491941933151[/C][/ROW]
[ROW][C]0.69[/C][C]277.650360925602[/C][C]2.16343890200624[/C][/ROW]
[ROW][C]0.695[/C][C]277.85941825309[/C][C]2.20985659940729[/C][/ROW]
[ROW][C]0.7[/C][C]278.074442866594[/C][C]2.26403918291405[/C][/ROW]
[ROW][C]0.705[/C][C]278.29615312069[/C][C]2.32527402223467[/C][/ROW]
[ROW][C]0.71[/C][C]278.525245742377[/C][C]2.3936371252861[/C][/ROW]
[ROW][C]0.715[/C][C]278.76238346107[/C][C]2.46847571297499[/C][/ROW]
[ROW][C]0.72[/C][C]279.008181735457[/C][C]2.54897492825246[/C][/ROW]
[ROW][C]0.725[/C][C]279.263194697714[/C][C]2.63470312940982[/C][/ROW]
[ROW][C]0.73[/C][C]279.527900500342[/C][C]2.72442141258733[/C][/ROW]
[ROW][C]0.735[/C][C]279.802686329546[/C][C]2.81738754826393[/C][/ROW]
[ROW][C]0.74[/C][C]280.087833438758[/C][C]2.91224117811991[/C][/ROW]
[ROW][C]0.745[/C][C]280.383502651501[/C][C]3.00773142411349[/C][/ROW]
[ROW][C]0.75[/C][C]280.689720877148[/C][C]3.10237104881717[/C][/ROW]
[ROW][C]0.755[/C][C]281.006369266652[/C][C]3.19449934398229[/C][/ROW]
[ROW][C]0.76[/C][C]281.333173697466[/C][C]3.28244100530849[/C][/ROW]
[ROW][C]0.765[/C][C]281.669698305960[/C][C]3.36491649003966[/C][/ROW]
[ROW][C]0.77[/C][C]282.015342770922[/C][C]3.43923795031266[/C][/ROW]
[ROW][C]0.775[/C][C]282.369343983989[/C][C]3.50437051396351[/C][/ROW]
[ROW][C]0.78[/C][C]282.730782616184[/C][C]3.55850628531487[/C][/ROW]
[ROW][C]0.785[/C][C]283.098594902728[/C][C]3.59999197330434[/C][/ROW]
[ROW][C]0.79[/C][C]283.471589724956[/C][C]3.62755718451150[/C][/ROW]
[ROW][C]0.795[/C][C]283.848470778598[/C][C]3.64029107807315[/C][/ROW]
[ROW][C]0.8[/C][C]284.227863298226[/C][C]3.63707191677472[/C][/ROW]
[ROW][C]0.805[/C][C]284.608344479900[/C][C]3.61778102115049[/C][/ROW]
[ROW][C]0.81[/C][C]284.988476433788[/C][C]3.58255164512789[/C][/ROW]
[ROW][C]0.815[/C][C]285.36684023372[/C][C]3.53176426410035[/C][/ROW]
[ROW][C]0.82[/C][C]285.742069438653[/C][C]3.46601716642912[/C][/ROW]
[ROW][C]0.825[/C][C]286.112881366506[/C][C]3.38659178328747[/C][/ROW]
[ROW][C]0.83[/C][C]286.478104422427[/C][C]3.2953131490004[/C][/ROW]
[ROW][C]0.835[/C][C]286.836699932198[/C][C]3.19373850163986[/C][/ROW]
[ROW][C]0.84[/C][C]287.187777208542[/C][C]3.08412522893322[/C][/ROW]
[ROW][C]0.845[/C][C]287.530600974935[/C][C]2.96821494175461[/C][/ROW]
[ROW][C]0.85[/C][C]287.864590769692[/C][C]2.84817221655332[/C][/ROW]
[ROW][C]0.855[/C][C]288.189312525859[/C][C]2.72593976375422[/C][/ROW]
[ROW][C]0.86[/C][C]288.504463136952[/C][C]2.60322938824853[/C][/ROW]
[ROW][C]0.865[/C][C]288.809849438317[/C][C]2.48137105535512[/C][/ROW]
[ROW][C]0.87[/C][C]289.105363621996[/C][C]2.36144220122152[/C][/ROW]
[ROW][C]0.875[/C][C]289.390957625136[/C][C]2.24400278162693[/C][/ROW]
[ROW][C]0.88[/C][C]289.666619459663[/C][C]2.129466355044[/C][/ROW]
[ROW][C]0.885[/C][C]289.932354765049[/C][C]2.01768070114489[/C][/ROW]
[ROW][C]0.89[/C][C]290.188177060311[/C][C]1.90832793456180[/C][/ROW]
[ROW][C]0.895[/C][C]290.434110255982[/C][C]1.80106648179215[/C][/ROW]
[ROW][C]0.9[/C][C]290.670206988093[/C][C]1.69540864819004[/C][/ROW]
[ROW][C]0.905[/C][C]290.896586289422[/C][C]1.59080119000725[/C][/ROW]
[ROW][C]0.91[/C][C]291.113494036618[/C][C]1.48738071651798[/C][/ROW]
[ROW][C]0.915[/C][C]291.321389451184[/C][C]1.38504688835831[/C][/ROW]
[ROW][C]0.92[/C][C]291.52106045925[/C][C]1.28480338313050[/C][/ROW]
[ROW][C]0.925[/C][C]291.713769374208[/C][C]1.18788982518732[/C][/ROW]
[ROW][C]0.93[/C][C]291.90142708591[/C][C]1.09660739925253[/C][/ROW]
[ROW][C]0.935[/C][C]292.086786978892[/C][C]1.01387265983277[/C][/ROW]
[ROW][C]0.94[/C][C]292.273636784777[/C][C]0.943977816503307[/C][/ROW]
[ROW][C]0.945[/C][C]292.466944988695[/C][C]0.89257260446018[/C][/ROW]
[ROW][C]0.95[/C][C]292.672886932282[/C][C]0.866675860510975[/C][/ROW]
[ROW][C]0.955[/C][C]292.898636754183[/C][C]0.87465971892976[/C][/ROW]
[ROW][C]0.96[/C][C]293.151774566375[/C][C]0.92468057117635[/C][/ROW]
[ROW][C]0.965[/C][C]293.439145142734[/C][C]1.02345633647766[/C][/ROW]
[ROW][C]0.97[/C][C]293.765050148977[/C][C]1.17367286569423[/C][/ROW]
[ROW][C]0.975[/C][C]294.128805856295[/C][C]1.37304964148079[/C][/ROW]
[ROW][C]0.98[/C][C]294.521991616706[/C][C]1.61273610324594[/C][/ROW]
[ROW][C]0.985[/C][C]294.926150750239[/C][C]1.87620962958566[/C][/ROW]
[ROW][C]0.99[/C][C]295.31219452156[/C][C]2.13892888279935[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=69378&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=69378&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
0.01226.3734997430522.59486233530178
0.015227.0738973969733.45250193850256
0.02227.9381689079884.21114643518489
0.025228.9277525563894.7759710605571
0.03229.9997657828875.11570115003764
0.035231.1129090393825.24797516954233
0.04232.2315883184295.22046534883333
0.045233.3281494467075.09203525768604
0.05234.38343984514.91795836825369
0.055235.3861084500774.73988936837486
0.06236.3311276913374.58227830270376
0.065237.2179948799734.4519996040534
0.07238.0489773438984.34379950248564
0.075238.8276421713914.24563703230185
0.08239.5577883866594.14473925312228
0.085240.2427978287664.03055136137339
0.09240.8853510683053.8964645987638
0.095241.4874173038263.74012111233199
0.1242.0504171457753.56306130452691
0.105242.5754664349373.36975200594772
0.11243.0636293459353.16607810465546
0.115243.5161328896912.95919510896804
0.12243.934517489212.75601953024717
0.125244.3207166051592.56327086331744
0.13244.6770712508862.38679847548805
0.135245.0062927522992.23118011274609
0.14245.3113901305802.10005524401074
0.145245.5955782060711.99537611407701
0.15245.8621801607451.91870227375710
0.155246.1145349167441.86970519661829
0.16246.3559161027991.84778890009361
0.165246.5894661343931.85146292257074
0.17246.8181463304501.87900888057907
0.175247.0447021397951.92857161141089
0.18247.2716414281221.99752270250542
0.185247.5012232710792.08384469147795
0.19247.7354546615452.18549231158376
0.195247.97609281292.30045152015017
0.2248.2246511833152.42658151880064
0.205248.4824078441182.56211044233708
0.21248.7504152847982.70476203275372
0.215249.0295111358462.85318201212166
0.22249.3203295730123.00535286371513
0.225249.6233133385543.15948687846437
0.23249.9387263880493.31408646389582
0.235250.2666671661613.46777917844008
0.24250.6070824568503.61907125829227
0.245250.9597816688523.76687324578986
0.25251.3244513294843.91017795493403
0.255251.7006694879274.04791559759819
0.26252.0879196867054.17969149849162
0.265252.4856041545154.30464185028048
0.27252.893055906594.42217315403291
0.275253.3095495069694.53200288368534
0.28253.7343103429124.63382914261397
0.285254.1665223749024.72710376063392
0.29254.6053344444634.81162057657064
0.295255.0498653344594.88702439936289
0.3255.4992078717184.95275843561876
0.305255.9524324309725.00868791249967
0.31256.4085902360865.05426869429799
0.315256.8667168565175.08955154147356
0.32257.3258362642315.1129584113083
0.325257.784965752295.1252546678221
0.33258.243121927065.12587632057228
0.335258.6993278792575.1146307006305
0.34259.1526215239765.09169088131044
0.345259.6020649856415.05681311831327
0.35260.0467547993545.01052574691993
0.355260.4858326129594.95356364721227
0.36260.9184960101924.88595911418871
0.365261.3440090382114.80912098852342
0.37261.7617120143354.72346538245881
0.375262.1710302059764.63052440494994
0.38262.5714810221424.53145125054073
0.385262.9626794200304.42723999032799
0.39263.3443413107784.31950379691711
0.395263.7162848382054.20955930748539
0.4264.0784294972264.09883836345694
0.405264.4307931484863.98815918533144
0.41264.7734870676683.87913150741106
0.415265.1067092375293.77290288620124
0.42265.4307361452663.67063551759271
0.425265.7459133855753.57257576673467
0.43266.0526453904293.47959869186744
0.435266.3513846109523.39273802964606
0.44266.6426204664923.31179666631558
0.445266.9268683535183.2372675634819
0.45267.2046589751773.16938946675858
0.455267.4765282142113.10817771908875
0.46267.7430077304483.05282735743510
0.465268.0046164219293.00382231071425
0.47268.2618528481632.96058012230557
0.475268.5151886768552.92270705497647
0.48268.7650631828142.88948986934823
0.485269.0118788004292.86087583927137
0.49269.2559977091562.83624256147725
0.495269.4977394147362.81428698044744
0.5269.7373792767622.79520335292011
0.505269.9751479250512.77854700189989
0.51270.2112315021742.76309945110087
0.515270.4457726666722.74891182089579
0.52270.6788722902142.73459030171588
0.525270.9105917815812.72092193260011
0.53271.1409559705992.70648098372017
0.535271.3699564855162.69114418134601
0.54271.5975555580082.67492104857681
0.545271.8236901907562.65698569599765
0.55272.0482766236212.63771435941013
0.555272.271215035912.61622555636213
0.56272.4923944241802.59323317692537
0.565272.7116975974522.56778734648790
0.57272.9290062346752.54056142442498
0.575273.1442059524362.51135526771374
0.58273.3571913342982.48044300927303
0.585273.5678708762062.44819002920459
0.59273.7761718050022.41476242328486
0.595273.9820447288642.38008367815183
0.6274.1854680792442.34458154497684
0.605274.3864523034812.30924736653312
0.61274.5850437657282.27365225179254
0.615274.7813283114322.23875540214309
0.62274.9754344474862.20524366099179
0.625275.167536086952.17313441984789
0.63275.3578548042782.14317532066105
0.635275.5466615448852.11599069403996
0.64275.7342777319802.09240164374829
0.645275.9210757142722.07285602290102
0.65276.1074785003912.05767693484453
0.655276.2939587297152.04753963675235
0.66276.481036834162.04323850115187
0.665276.6692783510932.04568864184073
0.67276.8592903530812.05441292444843
0.675277.0517169651612.07059644223675
0.68277.2472339442942.0936395608612
0.685277.446542298532.12491941933151
0.69277.6503609256022.16343890200624
0.695277.859418253092.20985659940729
0.7278.0744428665942.26403918291405
0.705278.296153120692.32527402223467
0.71278.5252457423772.3936371252861
0.715278.762383461072.46847571297499
0.72279.0081817354572.54897492825246
0.725279.2631946977142.63470312940982
0.73279.5279005003422.72442141258733
0.735279.8026863295462.81738754826393
0.74280.0878334387582.91224117811991
0.745280.3835026515013.00773142411349
0.75280.6897208771483.10237104881717
0.755281.0063692666523.19449934398229
0.76281.3331736974663.28244100530849
0.765281.6696983059603.36491649003966
0.77282.0153427709223.43923795031266
0.775282.3693439839893.50437051396351
0.78282.7307826161843.55850628531487
0.785283.0985949027283.59999197330434
0.79283.4715897249563.62755718451150
0.795283.8484707785983.64029107807315
0.8284.2278632982263.63707191677472
0.805284.6083444799003.61778102115049
0.81284.9884764337883.58255164512789
0.815285.366840233723.53176426410035
0.82285.7420694386533.46601716642912
0.825286.1128813665063.38659178328747
0.83286.4781044224273.2953131490004
0.835286.8366999321983.19373850163986
0.84287.1877772085423.08412522893322
0.845287.5306009749352.96821494175461
0.85287.8645907696922.84817221655332
0.855288.1893125258592.72593976375422
0.86288.5044631369522.60322938824853
0.865288.8098494383172.48137105535512
0.87289.1053636219962.36144220122152
0.875289.3909576251362.24400278162693
0.88289.6666194596632.129466355044
0.885289.9323547650492.01768070114489
0.89290.1881770603111.90832793456180
0.895290.4341102559821.80106648179215
0.9290.6702069880931.69540864819004
0.905290.8965862894221.59080119000725
0.91291.1134940366181.48738071651798
0.915291.3213894511841.38504688835831
0.92291.521060459251.28480338313050
0.925291.7137693742081.18788982518732
0.93291.901427085911.09660739925253
0.935292.0867869788921.01387265983277
0.94292.2736367847770.943977816503307
0.945292.4669449886950.89257260446018
0.95292.6728869322820.866675860510975
0.955292.8986367541830.87465971892976
0.96293.1517745663750.92468057117635
0.965293.4391451427341.02345633647766
0.97293.7650501489771.17367286569423
0.975294.1288058562951.37304964148079
0.98294.5219916167061.61273610324594
0.985294.9261507502391.87620962958566
0.99295.312194521562.13892888279935


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
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')