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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 10 Mar 2009 07:42:11 -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/10/t1236692575shoczcnv0k9k5sv.htm/, Retrieved Fri, 29 Mar 2024 12:25:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38886, Retrieved Fri, 29 Mar 2024 12:25:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Histogram] [elke torfs mar 201] [2009-02-12 15:30:15] [74be16979710d4c4e7c6647856088456]
- RMPD  [Harrell-Davis Quantiles] [Harrel-Davis deci...] [2009-03-10 13:12:33] [92e5d5bf28178acf91a63035e9cc5b92]
-   PD      [Harrell-Davis Quantiles] [percentielen omze...] [2009-03-10 13:42:11] [2ee75919b5830eac25092adc1951c043] [Current]
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Dataseries X:
356445
291705
310900
332340
257166
334551
317365
270863
317904
423141
317684
411063
371161
299023
326964
327146
303447
351994
320317
257151
320274
476982
301723
363567
338831
265802
307691
334207
303127
318863
292123
245155
284794
391604
304982
369552
356021
247577
277885
294032
310845
311023
298462
234188
297478
371017
291128
316374
326001
222302
227424
255428
278250
280335
241894
255075
255115
319482
270694
300209
283531
218924
236466
267980
219994
256052
230444
200778
240960
277837
209776
232065




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38886&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38886&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38886&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.01203801.2536789728483.13085579512
0.02208324.2278784087880.60074845107
0.03212849.2829136347044.04328745028
0.04216695.7724970456223.72158200464
0.05219835.9517934775775.60301139495
0.06222478.6927185295728.71956434372
0.07224829.1497290265868.89069341475
0.08227017.5894191716025.9817042489
0.09229109.3415512996157.98950790294
0.1231135.2640047746296.17092860896
0.11233114.8778038986478.76514744
0.12235065.8520199636715.80347444213
0.13237003.9168135486988.26276622579
0.14238939.4083561797259.86461858276
0.15240874.6800620047491.77488410206
0.16242803.9709733097653.60711418104
0.17244715.5688305627727.81255990041
0.18246595.3725039237714.94931511331
0.19248430.8317444457632.73318303437
0.2250214.355410167516.07713657235
0.21251945.4830374057409.66834399977
0.22253631.3983201147358.34095592857
0.23255285.7277241497395.43513865095
0.24256925.9578418927533.54760065007
0.25258570.1193270877761.87521553444
0.26260233.5271948558049.506479546
0.27261926.2959737448356.59701341035
0.28263652.0958961718643.58618014725
0.29265408.2712763748878.1334384936
0.3267187.110991059042.07952087997
0.31268977.8301951589129.06406325314
0.32270768.7352460139146.07884483868
0.33272549.0960091659107.91530923178
0.34274310.4014253149032.5381242295
0.35276046.8693013518937.60168155711
0.36277755.2659293828836.43458938822
0.37279434.2264632348735.85686630606
0.38281083.3342612688635.01947244407
0.39282702.2169913628529.87825310878
0.4284289.8637096018411.5519242964
0.41285844.2826047738271.11501297783
0.42287362.527302968103.12927427661
0.43288841.0405304587904.55898985935
0.44290276.2105278677677.15597678947
0.45291665.0126398727426.9225813158
0.46293005.6132430627163.83180518234
0.47294297.8377586436899.35402250309
0.48295543.4390716196646.47916789585
0.49296746.1383419466416.3730465715
0.5297911.4409540706221.77226714115
0.51299046.2536903536068.33063958135
0.52300158.3454000995961.61639857127
0.53301255.7041454705900.51157061664
0.54302345.8507370795881.65909533512
0.55303435.1725854185894.81054743394
0.56304528.3427530165930.14828922939
0.57305627.8862353895970.96495987965
0.58306733.9479818146003.89219928808
0.59307844.304439246015.17098688216
0.6308954.6423082945992.70280597685
0.61310059.1049284895929.25489703452
0.62311151.078863225821.72952824904
0.63312224.1622349455672.58294588942
0.64313273.2250167955490.82981735397
0.65314295.4446823325290.66683359985
0.66315291.1851779765091.3128172162
0.67316264.5907926774916.39897912017
0.68317223.7954262394788.90390199476
0.69318180.703884224731.48256673574
0.7319150.379860134759.31030003273
0.71320150.1612650614880.344079432
0.72321198.6957978755093.33714626231
0.73322315.1223629555390.83276299548
0.74323518.5940518315762.42155727003
0.75324828.2343632456200.58431607782
0.76326263.4495054316701.58477746097
0.77327844.3231206887267.38639211787
0.78329591.6602754527902.6816754311
0.79331526.2050161868608.01136388979
0.8333666.6984206399372.4291741847
0.81336026.79146540510166.3912610543
0.82338611.31957635810939.0467102626
0.83341412.94544352311623.0967188981
0.84344410.51853623212147.0067195338
0.85347570.58131539412451.7611908266
0.86350853.29829006412508.8034262639
0.87354223.78929310812335.5245187876
0.88357669.34581895712008.9689644975
0.89361221.79604959511679.0146378526
0.9364981.51000138611582.5896891991
0.91369135.03967769312027.4093341970
0.92373954.95890128213280.6024595533
0.93379776.22175019715361.5541951056
0.94386969.5921252517920.2565867026
0.95395975.69073100620401.9441563352
0.96407455.60062948722621.706111215
0.97422378.71955472525776.1470072876
0.98441300.46995759132574.3344263896
0.99461957.86696643343517.2221527855

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 203801.253678972 & 8483.13085579512 \tabularnewline
0.02 & 208324.227878408 & 7880.60074845107 \tabularnewline
0.03 & 212849.282913634 & 7044.04328745028 \tabularnewline
0.04 & 216695.772497045 & 6223.72158200464 \tabularnewline
0.05 & 219835.951793477 & 5775.60301139495 \tabularnewline
0.06 & 222478.692718529 & 5728.71956434372 \tabularnewline
0.07 & 224829.149729026 & 5868.89069341475 \tabularnewline
0.08 & 227017.589419171 & 6025.9817042489 \tabularnewline
0.09 & 229109.341551299 & 6157.98950790294 \tabularnewline
0.1 & 231135.264004774 & 6296.17092860896 \tabularnewline
0.11 & 233114.877803898 & 6478.76514744 \tabularnewline
0.12 & 235065.852019963 & 6715.80347444213 \tabularnewline
0.13 & 237003.916813548 & 6988.26276622579 \tabularnewline
0.14 & 238939.408356179 & 7259.86461858276 \tabularnewline
0.15 & 240874.680062004 & 7491.77488410206 \tabularnewline
0.16 & 242803.970973309 & 7653.60711418104 \tabularnewline
0.17 & 244715.568830562 & 7727.81255990041 \tabularnewline
0.18 & 246595.372503923 & 7714.94931511331 \tabularnewline
0.19 & 248430.831744445 & 7632.73318303437 \tabularnewline
0.2 & 250214.35541016 & 7516.07713657235 \tabularnewline
0.21 & 251945.483037405 & 7409.66834399977 \tabularnewline
0.22 & 253631.398320114 & 7358.34095592857 \tabularnewline
0.23 & 255285.727724149 & 7395.43513865095 \tabularnewline
0.24 & 256925.957841892 & 7533.54760065007 \tabularnewline
0.25 & 258570.119327087 & 7761.87521553444 \tabularnewline
0.26 & 260233.527194855 & 8049.506479546 \tabularnewline
0.27 & 261926.295973744 & 8356.59701341035 \tabularnewline
0.28 & 263652.095896171 & 8643.58618014725 \tabularnewline
0.29 & 265408.271276374 & 8878.1334384936 \tabularnewline
0.3 & 267187.11099105 & 9042.07952087997 \tabularnewline
0.31 & 268977.830195158 & 9129.06406325314 \tabularnewline
0.32 & 270768.735246013 & 9146.07884483868 \tabularnewline
0.33 & 272549.096009165 & 9107.91530923178 \tabularnewline
0.34 & 274310.401425314 & 9032.5381242295 \tabularnewline
0.35 & 276046.869301351 & 8937.60168155711 \tabularnewline
0.36 & 277755.265929382 & 8836.43458938822 \tabularnewline
0.37 & 279434.226463234 & 8735.85686630606 \tabularnewline
0.38 & 281083.334261268 & 8635.01947244407 \tabularnewline
0.39 & 282702.216991362 & 8529.87825310878 \tabularnewline
0.4 & 284289.863709601 & 8411.5519242964 \tabularnewline
0.41 & 285844.282604773 & 8271.11501297783 \tabularnewline
0.42 & 287362.52730296 & 8103.12927427661 \tabularnewline
0.43 & 288841.040530458 & 7904.55898985935 \tabularnewline
0.44 & 290276.210527867 & 7677.15597678947 \tabularnewline
0.45 & 291665.012639872 & 7426.9225813158 \tabularnewline
0.46 & 293005.613243062 & 7163.83180518234 \tabularnewline
0.47 & 294297.837758643 & 6899.35402250309 \tabularnewline
0.48 & 295543.439071619 & 6646.47916789585 \tabularnewline
0.49 & 296746.138341946 & 6416.3730465715 \tabularnewline
0.5 & 297911.440954070 & 6221.77226714115 \tabularnewline
0.51 & 299046.253690353 & 6068.33063958135 \tabularnewline
0.52 & 300158.345400099 & 5961.61639857127 \tabularnewline
0.53 & 301255.704145470 & 5900.51157061664 \tabularnewline
0.54 & 302345.850737079 & 5881.65909533512 \tabularnewline
0.55 & 303435.172585418 & 5894.81054743394 \tabularnewline
0.56 & 304528.342753016 & 5930.14828922939 \tabularnewline
0.57 & 305627.886235389 & 5970.96495987965 \tabularnewline
0.58 & 306733.947981814 & 6003.89219928808 \tabularnewline
0.59 & 307844.30443924 & 6015.17098688216 \tabularnewline
0.6 & 308954.642308294 & 5992.70280597685 \tabularnewline
0.61 & 310059.104928489 & 5929.25489703452 \tabularnewline
0.62 & 311151.07886322 & 5821.72952824904 \tabularnewline
0.63 & 312224.162234945 & 5672.58294588942 \tabularnewline
0.64 & 313273.225016795 & 5490.82981735397 \tabularnewline
0.65 & 314295.444682332 & 5290.66683359985 \tabularnewline
0.66 & 315291.185177976 & 5091.3128172162 \tabularnewline
0.67 & 316264.590792677 & 4916.39897912017 \tabularnewline
0.68 & 317223.795426239 & 4788.90390199476 \tabularnewline
0.69 & 318180.70388422 & 4731.48256673574 \tabularnewline
0.7 & 319150.37986013 & 4759.31030003273 \tabularnewline
0.71 & 320150.161265061 & 4880.344079432 \tabularnewline
0.72 & 321198.695797875 & 5093.33714626231 \tabularnewline
0.73 & 322315.122362955 & 5390.83276299548 \tabularnewline
0.74 & 323518.594051831 & 5762.42155727003 \tabularnewline
0.75 & 324828.234363245 & 6200.58431607782 \tabularnewline
0.76 & 326263.449505431 & 6701.58477746097 \tabularnewline
0.77 & 327844.323120688 & 7267.38639211787 \tabularnewline
0.78 & 329591.660275452 & 7902.6816754311 \tabularnewline
0.79 & 331526.205016186 & 8608.01136388979 \tabularnewline
0.8 & 333666.698420639 & 9372.4291741847 \tabularnewline
0.81 & 336026.791465405 & 10166.3912610543 \tabularnewline
0.82 & 338611.319576358 & 10939.0467102626 \tabularnewline
0.83 & 341412.945443523 & 11623.0967188981 \tabularnewline
0.84 & 344410.518536232 & 12147.0067195338 \tabularnewline
0.85 & 347570.581315394 & 12451.7611908266 \tabularnewline
0.86 & 350853.298290064 & 12508.8034262639 \tabularnewline
0.87 & 354223.789293108 & 12335.5245187876 \tabularnewline
0.88 & 357669.345818957 & 12008.9689644975 \tabularnewline
0.89 & 361221.796049595 & 11679.0146378526 \tabularnewline
0.9 & 364981.510001386 & 11582.5896891991 \tabularnewline
0.91 & 369135.039677693 & 12027.4093341970 \tabularnewline
0.92 & 373954.958901282 & 13280.6024595533 \tabularnewline
0.93 & 379776.221750197 & 15361.5541951056 \tabularnewline
0.94 & 386969.59212525 & 17920.2565867026 \tabularnewline
0.95 & 395975.690731006 & 20401.9441563352 \tabularnewline
0.96 & 407455.600629487 & 22621.706111215 \tabularnewline
0.97 & 422378.719554725 & 25776.1470072876 \tabularnewline
0.98 & 441300.469957591 & 32574.3344263896 \tabularnewline
0.99 & 461957.866966433 & 43517.2221527855 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38886&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]203801.253678972[/C][C]8483.13085579512[/C][/ROW]
[ROW][C]0.02[/C][C]208324.227878408[/C][C]7880.60074845107[/C][/ROW]
[ROW][C]0.03[/C][C]212849.282913634[/C][C]7044.04328745028[/C][/ROW]
[ROW][C]0.04[/C][C]216695.772497045[/C][C]6223.72158200464[/C][/ROW]
[ROW][C]0.05[/C][C]219835.951793477[/C][C]5775.60301139495[/C][/ROW]
[ROW][C]0.06[/C][C]222478.692718529[/C][C]5728.71956434372[/C][/ROW]
[ROW][C]0.07[/C][C]224829.149729026[/C][C]5868.89069341475[/C][/ROW]
[ROW][C]0.08[/C][C]227017.589419171[/C][C]6025.9817042489[/C][/ROW]
[ROW][C]0.09[/C][C]229109.341551299[/C][C]6157.98950790294[/C][/ROW]
[ROW][C]0.1[/C][C]231135.264004774[/C][C]6296.17092860896[/C][/ROW]
[ROW][C]0.11[/C][C]233114.877803898[/C][C]6478.76514744[/C][/ROW]
[ROW][C]0.12[/C][C]235065.852019963[/C][C]6715.80347444213[/C][/ROW]
[ROW][C]0.13[/C][C]237003.916813548[/C][C]6988.26276622579[/C][/ROW]
[ROW][C]0.14[/C][C]238939.408356179[/C][C]7259.86461858276[/C][/ROW]
[ROW][C]0.15[/C][C]240874.680062004[/C][C]7491.77488410206[/C][/ROW]
[ROW][C]0.16[/C][C]242803.970973309[/C][C]7653.60711418104[/C][/ROW]
[ROW][C]0.17[/C][C]244715.568830562[/C][C]7727.81255990041[/C][/ROW]
[ROW][C]0.18[/C][C]246595.372503923[/C][C]7714.94931511331[/C][/ROW]
[ROW][C]0.19[/C][C]248430.831744445[/C][C]7632.73318303437[/C][/ROW]
[ROW][C]0.2[/C][C]250214.35541016[/C][C]7516.07713657235[/C][/ROW]
[ROW][C]0.21[/C][C]251945.483037405[/C][C]7409.66834399977[/C][/ROW]
[ROW][C]0.22[/C][C]253631.398320114[/C][C]7358.34095592857[/C][/ROW]
[ROW][C]0.23[/C][C]255285.727724149[/C][C]7395.43513865095[/C][/ROW]
[ROW][C]0.24[/C][C]256925.957841892[/C][C]7533.54760065007[/C][/ROW]
[ROW][C]0.25[/C][C]258570.119327087[/C][C]7761.87521553444[/C][/ROW]
[ROW][C]0.26[/C][C]260233.527194855[/C][C]8049.506479546[/C][/ROW]
[ROW][C]0.27[/C][C]261926.295973744[/C][C]8356.59701341035[/C][/ROW]
[ROW][C]0.28[/C][C]263652.095896171[/C][C]8643.58618014725[/C][/ROW]
[ROW][C]0.29[/C][C]265408.271276374[/C][C]8878.1334384936[/C][/ROW]
[ROW][C]0.3[/C][C]267187.11099105[/C][C]9042.07952087997[/C][/ROW]
[ROW][C]0.31[/C][C]268977.830195158[/C][C]9129.06406325314[/C][/ROW]
[ROW][C]0.32[/C][C]270768.735246013[/C][C]9146.07884483868[/C][/ROW]
[ROW][C]0.33[/C][C]272549.096009165[/C][C]9107.91530923178[/C][/ROW]
[ROW][C]0.34[/C][C]274310.401425314[/C][C]9032.5381242295[/C][/ROW]
[ROW][C]0.35[/C][C]276046.869301351[/C][C]8937.60168155711[/C][/ROW]
[ROW][C]0.36[/C][C]277755.265929382[/C][C]8836.43458938822[/C][/ROW]
[ROW][C]0.37[/C][C]279434.226463234[/C][C]8735.85686630606[/C][/ROW]
[ROW][C]0.38[/C][C]281083.334261268[/C][C]8635.01947244407[/C][/ROW]
[ROW][C]0.39[/C][C]282702.216991362[/C][C]8529.87825310878[/C][/ROW]
[ROW][C]0.4[/C][C]284289.863709601[/C][C]8411.5519242964[/C][/ROW]
[ROW][C]0.41[/C][C]285844.282604773[/C][C]8271.11501297783[/C][/ROW]
[ROW][C]0.42[/C][C]287362.52730296[/C][C]8103.12927427661[/C][/ROW]
[ROW][C]0.43[/C][C]288841.040530458[/C][C]7904.55898985935[/C][/ROW]
[ROW][C]0.44[/C][C]290276.210527867[/C][C]7677.15597678947[/C][/ROW]
[ROW][C]0.45[/C][C]291665.012639872[/C][C]7426.9225813158[/C][/ROW]
[ROW][C]0.46[/C][C]293005.613243062[/C][C]7163.83180518234[/C][/ROW]
[ROW][C]0.47[/C][C]294297.837758643[/C][C]6899.35402250309[/C][/ROW]
[ROW][C]0.48[/C][C]295543.439071619[/C][C]6646.47916789585[/C][/ROW]
[ROW][C]0.49[/C][C]296746.138341946[/C][C]6416.3730465715[/C][/ROW]
[ROW][C]0.5[/C][C]297911.440954070[/C][C]6221.77226714115[/C][/ROW]
[ROW][C]0.51[/C][C]299046.253690353[/C][C]6068.33063958135[/C][/ROW]
[ROW][C]0.52[/C][C]300158.345400099[/C][C]5961.61639857127[/C][/ROW]
[ROW][C]0.53[/C][C]301255.704145470[/C][C]5900.51157061664[/C][/ROW]
[ROW][C]0.54[/C][C]302345.850737079[/C][C]5881.65909533512[/C][/ROW]
[ROW][C]0.55[/C][C]303435.172585418[/C][C]5894.81054743394[/C][/ROW]
[ROW][C]0.56[/C][C]304528.342753016[/C][C]5930.14828922939[/C][/ROW]
[ROW][C]0.57[/C][C]305627.886235389[/C][C]5970.96495987965[/C][/ROW]
[ROW][C]0.58[/C][C]306733.947981814[/C][C]6003.89219928808[/C][/ROW]
[ROW][C]0.59[/C][C]307844.30443924[/C][C]6015.17098688216[/C][/ROW]
[ROW][C]0.6[/C][C]308954.642308294[/C][C]5992.70280597685[/C][/ROW]
[ROW][C]0.61[/C][C]310059.104928489[/C][C]5929.25489703452[/C][/ROW]
[ROW][C]0.62[/C][C]311151.07886322[/C][C]5821.72952824904[/C][/ROW]
[ROW][C]0.63[/C][C]312224.162234945[/C][C]5672.58294588942[/C][/ROW]
[ROW][C]0.64[/C][C]313273.225016795[/C][C]5490.82981735397[/C][/ROW]
[ROW][C]0.65[/C][C]314295.444682332[/C][C]5290.66683359985[/C][/ROW]
[ROW][C]0.66[/C][C]315291.185177976[/C][C]5091.3128172162[/C][/ROW]
[ROW][C]0.67[/C][C]316264.590792677[/C][C]4916.39897912017[/C][/ROW]
[ROW][C]0.68[/C][C]317223.795426239[/C][C]4788.90390199476[/C][/ROW]
[ROW][C]0.69[/C][C]318180.70388422[/C][C]4731.48256673574[/C][/ROW]
[ROW][C]0.7[/C][C]319150.37986013[/C][C]4759.31030003273[/C][/ROW]
[ROW][C]0.71[/C][C]320150.161265061[/C][C]4880.344079432[/C][/ROW]
[ROW][C]0.72[/C][C]321198.695797875[/C][C]5093.33714626231[/C][/ROW]
[ROW][C]0.73[/C][C]322315.122362955[/C][C]5390.83276299548[/C][/ROW]
[ROW][C]0.74[/C][C]323518.594051831[/C][C]5762.42155727003[/C][/ROW]
[ROW][C]0.75[/C][C]324828.234363245[/C][C]6200.58431607782[/C][/ROW]
[ROW][C]0.76[/C][C]326263.449505431[/C][C]6701.58477746097[/C][/ROW]
[ROW][C]0.77[/C][C]327844.323120688[/C][C]7267.38639211787[/C][/ROW]
[ROW][C]0.78[/C][C]329591.660275452[/C][C]7902.6816754311[/C][/ROW]
[ROW][C]0.79[/C][C]331526.205016186[/C][C]8608.01136388979[/C][/ROW]
[ROW][C]0.8[/C][C]333666.698420639[/C][C]9372.4291741847[/C][/ROW]
[ROW][C]0.81[/C][C]336026.791465405[/C][C]10166.3912610543[/C][/ROW]
[ROW][C]0.82[/C][C]338611.319576358[/C][C]10939.0467102626[/C][/ROW]
[ROW][C]0.83[/C][C]341412.945443523[/C][C]11623.0967188981[/C][/ROW]
[ROW][C]0.84[/C][C]344410.518536232[/C][C]12147.0067195338[/C][/ROW]
[ROW][C]0.85[/C][C]347570.581315394[/C][C]12451.7611908266[/C][/ROW]
[ROW][C]0.86[/C][C]350853.298290064[/C][C]12508.8034262639[/C][/ROW]
[ROW][C]0.87[/C][C]354223.789293108[/C][C]12335.5245187876[/C][/ROW]
[ROW][C]0.88[/C][C]357669.345818957[/C][C]12008.9689644975[/C][/ROW]
[ROW][C]0.89[/C][C]361221.796049595[/C][C]11679.0146378526[/C][/ROW]
[ROW][C]0.9[/C][C]364981.510001386[/C][C]11582.5896891991[/C][/ROW]
[ROW][C]0.91[/C][C]369135.039677693[/C][C]12027.4093341970[/C][/ROW]
[ROW][C]0.92[/C][C]373954.958901282[/C][C]13280.6024595533[/C][/ROW]
[ROW][C]0.93[/C][C]379776.221750197[/C][C]15361.5541951056[/C][/ROW]
[ROW][C]0.94[/C][C]386969.59212525[/C][C]17920.2565867026[/C][/ROW]
[ROW][C]0.95[/C][C]395975.690731006[/C][C]20401.9441563352[/C][/ROW]
[ROW][C]0.96[/C][C]407455.600629487[/C][C]22621.706111215[/C][/ROW]
[ROW][C]0.97[/C][C]422378.719554725[/C][C]25776.1470072876[/C][/ROW]
[ROW][C]0.98[/C][C]441300.469957591[/C][C]32574.3344263896[/C][/ROW]
[ROW][C]0.99[/C][C]461957.866966433[/C][C]43517.2221527855[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38886&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38886&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
0.01203801.2536789728483.13085579512
0.02208324.2278784087880.60074845107
0.03212849.2829136347044.04328745028
0.04216695.7724970456223.72158200464
0.05219835.9517934775775.60301139495
0.06222478.6927185295728.71956434372
0.07224829.1497290265868.89069341475
0.08227017.5894191716025.9817042489
0.09229109.3415512996157.98950790294
0.1231135.2640047746296.17092860896
0.11233114.8778038986478.76514744
0.12235065.8520199636715.80347444213
0.13237003.9168135486988.26276622579
0.14238939.4083561797259.86461858276
0.15240874.6800620047491.77488410206
0.16242803.9709733097653.60711418104
0.17244715.5688305627727.81255990041
0.18246595.3725039237714.94931511331
0.19248430.8317444457632.73318303437
0.2250214.355410167516.07713657235
0.21251945.4830374057409.66834399977
0.22253631.3983201147358.34095592857
0.23255285.7277241497395.43513865095
0.24256925.9578418927533.54760065007
0.25258570.1193270877761.87521553444
0.26260233.5271948558049.506479546
0.27261926.2959737448356.59701341035
0.28263652.0958961718643.58618014725
0.29265408.2712763748878.1334384936
0.3267187.110991059042.07952087997
0.31268977.8301951589129.06406325314
0.32270768.7352460139146.07884483868
0.33272549.0960091659107.91530923178
0.34274310.4014253149032.5381242295
0.35276046.8693013518937.60168155711
0.36277755.2659293828836.43458938822
0.37279434.2264632348735.85686630606
0.38281083.3342612688635.01947244407
0.39282702.2169913628529.87825310878
0.4284289.8637096018411.5519242964
0.41285844.2826047738271.11501297783
0.42287362.527302968103.12927427661
0.43288841.0405304587904.55898985935
0.44290276.2105278677677.15597678947
0.45291665.0126398727426.9225813158
0.46293005.6132430627163.83180518234
0.47294297.8377586436899.35402250309
0.48295543.4390716196646.47916789585
0.49296746.1383419466416.3730465715
0.5297911.4409540706221.77226714115
0.51299046.2536903536068.33063958135
0.52300158.3454000995961.61639857127
0.53301255.7041454705900.51157061664
0.54302345.8507370795881.65909533512
0.55303435.1725854185894.81054743394
0.56304528.3427530165930.14828922939
0.57305627.8862353895970.96495987965
0.58306733.9479818146003.89219928808
0.59307844.304439246015.17098688216
0.6308954.6423082945992.70280597685
0.61310059.1049284895929.25489703452
0.62311151.078863225821.72952824904
0.63312224.1622349455672.58294588942
0.64313273.2250167955490.82981735397
0.65314295.4446823325290.66683359985
0.66315291.1851779765091.3128172162
0.67316264.5907926774916.39897912017
0.68317223.7954262394788.90390199476
0.69318180.703884224731.48256673574
0.7319150.379860134759.31030003273
0.71320150.1612650614880.344079432
0.72321198.6957978755093.33714626231
0.73322315.1223629555390.83276299548
0.74323518.5940518315762.42155727003
0.75324828.2343632456200.58431607782
0.76326263.4495054316701.58477746097
0.77327844.3231206887267.38639211787
0.78329591.6602754527902.6816754311
0.79331526.2050161868608.01136388979
0.8333666.6984206399372.4291741847
0.81336026.79146540510166.3912610543
0.82338611.31957635810939.0467102626
0.83341412.94544352311623.0967188981
0.84344410.51853623212147.0067195338
0.85347570.58131539412451.7611908266
0.86350853.29829006412508.8034262639
0.87354223.78929310812335.5245187876
0.88357669.34581895712008.9689644975
0.89361221.79604959511679.0146378526
0.9364981.51000138611582.5896891991
0.91369135.03967769312027.4093341970
0.92373954.95890128213280.6024595533
0.93379776.22175019715361.5541951056
0.94386969.5921252517920.2565867026
0.95395975.69073100620401.9441563352
0.96407455.60062948722621.706111215
0.97422378.71955472525776.1470072876
0.98441300.46995759132574.3344263896
0.99461957.86696643343517.2221527855



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')