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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 computationMon, 27 Oct 2008 15:50:45 -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/2008/Oct/27/t1225144285e9atxtbbptwvtv0.htm/, Retrieved Sun, 19 May 2024 15:54:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=19667, Retrieved Sun, 19 May 2024 15:54:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact134

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Explorative Data Analysis] [Investigating dis...] [2007-10-22 19:45:25] [b9964c45117f7aac638ab9056d451faa]
-    D  [Univariate Explorative Data Analysis] [Q7 investigating ...] [2008-10-27 21:34:09] [3754dd41128068acfc463ebbabce5a9c]
F RM        [Harrell-Davis Quantiles] [Q9 investigating ...] [2008-10-27 21:50:45] [02e7fb326979b65614900650d62c19a6] [Current]
Feedback Forum
2008-11-03 11:33:09 [Astrid Sniekers] [reply] 
Q9:

Het besluit van de student is niet duidelijk. Deze oefening dient analoog aan vraag Q5 opgelost te worden.

Q10:

Dit is helemaal juist.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
17272.1
19769.9
20038.9
18173.4
16414.3
16938.7
18395.3
17284.5
16457.6
19396.4
16854
16956.1
15467.4
18154.3
17568.6
18063.7
15692.4
15155.4
17396.1
16803.3
15533
19268.2
16247.7
16012.5
16979.9
17504
15130
16677.5
13836.8
13028.1
15937.8
14734.4
14985.2
17197.3
14711.2
13333.7
14931.4
15000.7
14247.9
15525.5
12002.4
12642.6
15620.1
12543.6
13729.7
15456.4
13297.3
12223.3
13174.6
13123.5
13805.7
13816.6
10376.3
11989.9
13121.7
11986.4
12730.9
13687.6
12731.1
12261.6

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'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19667&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19667&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19667&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110697.74292081571279.61403498495
0.01510908.71421075061081.15379466182
0.0211123.3134520832881.11403286899
0.02511324.6077453104696.697783362989
0.0311502.2989797765538.921696603255
0.03511652.2141014160413.089387911385
0.0411774.7915272718320.271684598297
0.04511873.3206035216258.652112966007
0.0511952.4012797405224.074809380685
0.05512016.8257336423210.170242444758
0.0612070.9000285276209.667879958072
0.06512118.1265468276216.468669255167
0.0712161.1361477489226.486803613266
0.07512201.7662922681237.349920388252
0.0812241.2058275345247.731819327328
0.08512280.1544907036256.942467415711
0.0912318.9682530515264.677066287165
0.09512357.7780252047270.852663248436
0.112396.5793425459275.532833649623
0.10512435.2959204931278.859222287146
0.1112473.8220501257281.040538429871
0.11512512.0490529583282.294306298185
0.1212549.8803814721282.852184712508
0.12512587.2390222275282.924183889193
0.1312624.069939483282.692993346735
0.13512660.3395206102282.298843061232
0.1412696.0333815354281.859476610417
0.14512731.1534445963281.461621834738
0.1512765.7148798033281.155870223224
0.15512799.7432705864280.9710369707
0.1612833.2722002493280.954707108607
0.16512866.3413369719281.113304049824
0.1712898.9950114730281.497006180448
0.17512931.2812251817282.120909622868
0.1812963.2509934632283.051591289904
0.18512994.9579146855284.34670144515
0.1913026.4578583805286.067129293823
0.19513057.8086807713288.255113916238
0.213089.0698994168290.984411650960
0.20513120.3022864125294.292123538896
0.2113151.5673673954298.196616217101
0.21513182.9268380254302.709935946247
0.2213214.4419280085307.839268737339
0.22513246.1727535204313.546769261518
0.2313278.1777016207319.819920504675
0.23513310.5128855006326.599837731059
0.2413343.2316986102333.860994083154
0.24513376.3844808866341.562676143783
0.2513410.0182937620349.653754967908
0.25513444.1767846942358.119004196896
0.2613478.9001086955366.930832644429
0.26513514.2248653422376.074234982236
0.2713550.1840060647385.530548454171
0.27513586.8066685052395.274145122436
0.2813624.1179021563405.298987794873
0.28513662.1382615193415.581367633223
0.2913700.8832584127426.058168412311
0.29513740.3626822560436.700099534667
0.313780.5798144873447.429079476485
0.30513821.5305790991458.1443237494
0.3113863.2026841347468.739331370943
0.31513905.574817723479.059198476359
0.3213948.6159660545489.004577119251
0.32513992.2849192786498.391034062823
0.3314036.5300247211507.064109380877
0.33514081.2892355849514.893844678423
0.3414126.490488263521.693778758041
0.34514172.0524236852527.358347862401
0.3514217.8854490271531.76925474469
0.35514263.8931169958534.824835867507
0.3614309.9737820724536.458047924158
0.36514356.0224777299536.63706461482
0.3714401.9329466987535.35827990135
0.37514447.5997485277532.65340548336
0.3814492.9203653430528.559347782492
0.38514537.7972279183523.176007037098
0.3914582.139589676516.614099353869
0.39514625.8651855219509.001610381975
0.414668.9016247460500.488256944236
0.40514711.1874816826491.240033813351
0.4114752.6730634389481.424754942725
0.41514793.3208497717471.176881073994
0.4214833.1056151470460.715466786454
0.42514872.0142563399450.183671292045
0.4314910.0453599136439.70911663172
0.43514947.2085520866429.470229957909
0.4414983.5236785601419.553998712410
0.44515019.0198637851410.075894053142
0.4515053.7344980229401.139022224333
0.45515087.7121967387392.791517980744
0.4615121.0037708079385.095113642301
0.46515153.6652383152378.132926420738
0.4715185.7569000025371.887372811904
0.47515217.3424913469366.400610840076
0.4815248.4884154499361.71310117407
0.48515279.2630529622357.828072903161
0.4915309.7361386248354.722339011718
0.49515339.9781890314352.447708176245
0.515370.0599631218350.983973897264
0.50515400.0519357857350.325709358241
0.5115430.0237657300350.496809232196
0.51515460.0437412642351.473240998559
0.5215490.1781916135353.221778573741
0.52515520.4908564101355.726600980080
0.5315551.0422117401358.969595916808
0.53515581.8887571095362.87916626877
0.5415613.0822735108367.39780177879
0.54515644.6690680463372.469034581168
0.5515676.6892249588377.982699394769
0.55515709.1758861865383.852713875203
0.5615742.1545865208389.985360800128
0.56515775.6426690290396.24367597367
0.5715809.6488056074402.520772616935
0.57515844.1726454526408.718861732403
0.5815879.2046110209414.681003344997
0.58515914.7258569157420.310373617163
0.5915950.7084023242425.471128080536
0.59515987.1154423892430.063880309534
0.616023.9018385055433.993861785498
0.60516061.0147821999437.153370689013
0.6116098.3946222127439.49406343209
0.61516135.9758398002440.923882984868
0.6216173.688153248441.412814124363
0.62516211.4577292066440.909822601121
0.6316249.2084757687439.414304869122
0.63516286.8633902091436.909898062309
0.6416324.3459329956433.42629898988
0.64516361.5813990276428.997837629053
0.6516398.4982570477423.643230401067
0.65516435.0294287963417.478285451688
0.6616471.1134807409410.517419756983
0.66516506.6957031397402.879874613511
0.6716541.7290538308394.673490493835
0.67516576.1749475115385.989615976371
0.6816610.0038754247376.940028745762
0.68516643.1958452997367.643041912941
0.6916675.7406370695358.228354084755
0.69516707.6378761815348.813435742313
0.716738.8969330693339.511101352003
0.70516769.5366642472330.450721055957
0.7116799.5850171829321.71083989342
0.71516829.0785271114313.415662405294
0.7216858.0617387704305.652107378611
0.72516886.5865891039298.481933612699
0.7316914.7117877653291.986697374270
0.73516942.5022303052286.207490132402
0.7416970.0284739321281.188534213024
0.74516997.366297605276.950253872744
0.7517024.5963571319273.51826862434
0.75517051.8039324457270.915067670837
0.7617079.0787492218269.147758225625
0.76517106.5148417867268.225576077257
0.7717134.2104105315268.172452115071
0.77517162.2676167396269.013529776683
0.7817190.7922530065270.762596885415
0.78517219.8932303635273.451413150807
0.7917249.6818356437277.091151565354
0.79517280.2707357690281.705331585148
0.817311.7727397792287.280417495258
0.80517344.2993735276293.795938163339
0.8117377.9593733635301.191945454594
0.81517412.857259206309.409278615022
0.8217449.0921975895318.30062588409
0.82517486.7574030519327.752292845816
0.8317525.9403417444337.586969867343
0.83517566.7239839253347.636205760964
0.8417609.1892923620357.728606979835
0.84517653.4190244333367.712672573583
0.8517699.5027643577377.497978470011
0.85517747.5428928767387.064908385622
0.8617797.6609583787396.438583076114
0.86517850.0036599804405.794042981305
0.8717904.7474245848415.366726960584
0.87517962.1004009934425.511088406146
0.8818022.3006549551436.630863636716
0.88518085.6094786673449.09303539785
0.8918152.2990652367463.212915587709
0.89518222.6343594655479.122594232564
0.918296.8496634325496.671940848713
0.90518375.1214866249515.403020444177
0.9118457.5400735225534.479823914518
0.91518544.0828557302552.748306618573
0.9218634.5935631311568.817386939005
0.92518728.7706761135581.168529751418
0.9318826.1681120206588.344790391434
0.93518926.2093719135589.10574289022
0.9419028.2137871296582.61645649093
0.94519131.4301132134568.569241753483
0.9519235.0688677596547.262469000294
0.95519338.3211883807519.547671496111
0.9619440.3497815823486.75354240978
0.96519540.2385688209450.509639992888
0.9719636.8943867121412.601083949201
0.97519728.9092719832374.973501801582
0.9819814.4171561915339.815342161512
0.98519891.0124584611309.586861891807
0.9919955.8313476489286.607693040562

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10697.7429208157 & 1279.61403498495 \tabularnewline
0.015 & 10908.7142107506 & 1081.15379466182 \tabularnewline
0.02 & 11123.3134520832 & 881.11403286899 \tabularnewline
0.025 & 11324.6077453104 & 696.697783362989 \tabularnewline
0.03 & 11502.2989797765 & 538.921696603255 \tabularnewline
0.035 & 11652.2141014160 & 413.089387911385 \tabularnewline
0.04 & 11774.7915272718 & 320.271684598297 \tabularnewline
0.045 & 11873.3206035216 & 258.652112966007 \tabularnewline
0.05 & 11952.4012797405 & 224.074809380685 \tabularnewline
0.055 & 12016.8257336423 & 210.170242444758 \tabularnewline
0.06 & 12070.9000285276 & 209.667879958072 \tabularnewline
0.065 & 12118.1265468276 & 216.468669255167 \tabularnewline
0.07 & 12161.1361477489 & 226.486803613266 \tabularnewline
0.075 & 12201.7662922681 & 237.349920388252 \tabularnewline
0.08 & 12241.2058275345 & 247.731819327328 \tabularnewline
0.085 & 12280.1544907036 & 256.942467415711 \tabularnewline
0.09 & 12318.9682530515 & 264.677066287165 \tabularnewline
0.095 & 12357.7780252047 & 270.852663248436 \tabularnewline
0.1 & 12396.5793425459 & 275.532833649623 \tabularnewline
0.105 & 12435.2959204931 & 278.859222287146 \tabularnewline
0.11 & 12473.8220501257 & 281.040538429871 \tabularnewline
0.115 & 12512.0490529583 & 282.294306298185 \tabularnewline
0.12 & 12549.8803814721 & 282.852184712508 \tabularnewline
0.125 & 12587.2390222275 & 282.924183889193 \tabularnewline
0.13 & 12624.069939483 & 282.692993346735 \tabularnewline
0.135 & 12660.3395206102 & 282.298843061232 \tabularnewline
0.14 & 12696.0333815354 & 281.859476610417 \tabularnewline
0.145 & 12731.1534445963 & 281.461621834738 \tabularnewline
0.15 & 12765.7148798033 & 281.155870223224 \tabularnewline
0.155 & 12799.7432705864 & 280.9710369707 \tabularnewline
0.16 & 12833.2722002493 & 280.954707108607 \tabularnewline
0.165 & 12866.3413369719 & 281.113304049824 \tabularnewline
0.17 & 12898.9950114730 & 281.497006180448 \tabularnewline
0.175 & 12931.2812251817 & 282.120909622868 \tabularnewline
0.18 & 12963.2509934632 & 283.051591289904 \tabularnewline
0.185 & 12994.9579146855 & 284.34670144515 \tabularnewline
0.19 & 13026.4578583805 & 286.067129293823 \tabularnewline
0.195 & 13057.8086807713 & 288.255113916238 \tabularnewline
0.2 & 13089.0698994168 & 290.984411650960 \tabularnewline
0.205 & 13120.3022864125 & 294.292123538896 \tabularnewline
0.21 & 13151.5673673954 & 298.196616217101 \tabularnewline
0.215 & 13182.9268380254 & 302.709935946247 \tabularnewline
0.22 & 13214.4419280085 & 307.839268737339 \tabularnewline
0.225 & 13246.1727535204 & 313.546769261518 \tabularnewline
0.23 & 13278.1777016207 & 319.819920504675 \tabularnewline
0.235 & 13310.5128855006 & 326.599837731059 \tabularnewline
0.24 & 13343.2316986102 & 333.860994083154 \tabularnewline
0.245 & 13376.3844808866 & 341.562676143783 \tabularnewline
0.25 & 13410.0182937620 & 349.653754967908 \tabularnewline
0.255 & 13444.1767846942 & 358.119004196896 \tabularnewline
0.26 & 13478.9001086955 & 366.930832644429 \tabularnewline
0.265 & 13514.2248653422 & 376.074234982236 \tabularnewline
0.27 & 13550.1840060647 & 385.530548454171 \tabularnewline
0.275 & 13586.8066685052 & 395.274145122436 \tabularnewline
0.28 & 13624.1179021563 & 405.298987794873 \tabularnewline
0.285 & 13662.1382615193 & 415.581367633223 \tabularnewline
0.29 & 13700.8832584127 & 426.058168412311 \tabularnewline
0.295 & 13740.3626822560 & 436.700099534667 \tabularnewline
0.3 & 13780.5798144873 & 447.429079476485 \tabularnewline
0.305 & 13821.5305790991 & 458.1443237494 \tabularnewline
0.31 & 13863.2026841347 & 468.739331370943 \tabularnewline
0.315 & 13905.574817723 & 479.059198476359 \tabularnewline
0.32 & 13948.6159660545 & 489.004577119251 \tabularnewline
0.325 & 13992.2849192786 & 498.391034062823 \tabularnewline
0.33 & 14036.5300247211 & 507.064109380877 \tabularnewline
0.335 & 14081.2892355849 & 514.893844678423 \tabularnewline
0.34 & 14126.490488263 & 521.693778758041 \tabularnewline
0.345 & 14172.0524236852 & 527.358347862401 \tabularnewline
0.35 & 14217.8854490271 & 531.76925474469 \tabularnewline
0.355 & 14263.8931169958 & 534.824835867507 \tabularnewline
0.36 & 14309.9737820724 & 536.458047924158 \tabularnewline
0.365 & 14356.0224777299 & 536.63706461482 \tabularnewline
0.37 & 14401.9329466987 & 535.35827990135 \tabularnewline
0.375 & 14447.5997485277 & 532.65340548336 \tabularnewline
0.38 & 14492.9203653430 & 528.559347782492 \tabularnewline
0.385 & 14537.7972279183 & 523.176007037098 \tabularnewline
0.39 & 14582.139589676 & 516.614099353869 \tabularnewline
0.395 & 14625.8651855219 & 509.001610381975 \tabularnewline
0.4 & 14668.9016247460 & 500.488256944236 \tabularnewline
0.405 & 14711.1874816826 & 491.240033813351 \tabularnewline
0.41 & 14752.6730634389 & 481.424754942725 \tabularnewline
0.415 & 14793.3208497717 & 471.176881073994 \tabularnewline
0.42 & 14833.1056151470 & 460.715466786454 \tabularnewline
0.425 & 14872.0142563399 & 450.183671292045 \tabularnewline
0.43 & 14910.0453599136 & 439.70911663172 \tabularnewline
0.435 & 14947.2085520866 & 429.470229957909 \tabularnewline
0.44 & 14983.5236785601 & 419.553998712410 \tabularnewline
0.445 & 15019.0198637851 & 410.075894053142 \tabularnewline
0.45 & 15053.7344980229 & 401.139022224333 \tabularnewline
0.455 & 15087.7121967387 & 392.791517980744 \tabularnewline
0.46 & 15121.0037708079 & 385.095113642301 \tabularnewline
0.465 & 15153.6652383152 & 378.132926420738 \tabularnewline
0.47 & 15185.7569000025 & 371.887372811904 \tabularnewline
0.475 & 15217.3424913469 & 366.400610840076 \tabularnewline
0.48 & 15248.4884154499 & 361.71310117407 \tabularnewline
0.485 & 15279.2630529622 & 357.828072903161 \tabularnewline
0.49 & 15309.7361386248 & 354.722339011718 \tabularnewline
0.495 & 15339.9781890314 & 352.447708176245 \tabularnewline
0.5 & 15370.0599631218 & 350.983973897264 \tabularnewline
0.505 & 15400.0519357857 & 350.325709358241 \tabularnewline
0.51 & 15430.0237657300 & 350.496809232196 \tabularnewline
0.515 & 15460.0437412642 & 351.473240998559 \tabularnewline
0.52 & 15490.1781916135 & 353.221778573741 \tabularnewline
0.525 & 15520.4908564101 & 355.726600980080 \tabularnewline
0.53 & 15551.0422117401 & 358.969595916808 \tabularnewline
0.535 & 15581.8887571095 & 362.87916626877 \tabularnewline
0.54 & 15613.0822735108 & 367.39780177879 \tabularnewline
0.545 & 15644.6690680463 & 372.469034581168 \tabularnewline
0.55 & 15676.6892249588 & 377.982699394769 \tabularnewline
0.555 & 15709.1758861865 & 383.852713875203 \tabularnewline
0.56 & 15742.1545865208 & 389.985360800128 \tabularnewline
0.565 & 15775.6426690290 & 396.24367597367 \tabularnewline
0.57 & 15809.6488056074 & 402.520772616935 \tabularnewline
0.575 & 15844.1726454526 & 408.718861732403 \tabularnewline
0.58 & 15879.2046110209 & 414.681003344997 \tabularnewline
0.585 & 15914.7258569157 & 420.310373617163 \tabularnewline
0.59 & 15950.7084023242 & 425.471128080536 \tabularnewline
0.595 & 15987.1154423892 & 430.063880309534 \tabularnewline
0.6 & 16023.9018385055 & 433.993861785498 \tabularnewline
0.605 & 16061.0147821999 & 437.153370689013 \tabularnewline
0.61 & 16098.3946222127 & 439.49406343209 \tabularnewline
0.615 & 16135.9758398002 & 440.923882984868 \tabularnewline
0.62 & 16173.688153248 & 441.412814124363 \tabularnewline
0.625 & 16211.4577292066 & 440.909822601121 \tabularnewline
0.63 & 16249.2084757687 & 439.414304869122 \tabularnewline
0.635 & 16286.8633902091 & 436.909898062309 \tabularnewline
0.64 & 16324.3459329956 & 433.42629898988 \tabularnewline
0.645 & 16361.5813990276 & 428.997837629053 \tabularnewline
0.65 & 16398.4982570477 & 423.643230401067 \tabularnewline
0.655 & 16435.0294287963 & 417.478285451688 \tabularnewline
0.66 & 16471.1134807409 & 410.517419756983 \tabularnewline
0.665 & 16506.6957031397 & 402.879874613511 \tabularnewline
0.67 & 16541.7290538308 & 394.673490493835 \tabularnewline
0.675 & 16576.1749475115 & 385.989615976371 \tabularnewline
0.68 & 16610.0038754247 & 376.940028745762 \tabularnewline
0.685 & 16643.1958452997 & 367.643041912941 \tabularnewline
0.69 & 16675.7406370695 & 358.228354084755 \tabularnewline
0.695 & 16707.6378761815 & 348.813435742313 \tabularnewline
0.7 & 16738.8969330693 & 339.511101352003 \tabularnewline
0.705 & 16769.5366642472 & 330.450721055957 \tabularnewline
0.71 & 16799.5850171829 & 321.71083989342 \tabularnewline
0.715 & 16829.0785271114 & 313.415662405294 \tabularnewline
0.72 & 16858.0617387704 & 305.652107378611 \tabularnewline
0.725 & 16886.5865891039 & 298.481933612699 \tabularnewline
0.73 & 16914.7117877653 & 291.986697374270 \tabularnewline
0.735 & 16942.5022303052 & 286.207490132402 \tabularnewline
0.74 & 16970.0284739321 & 281.188534213024 \tabularnewline
0.745 & 16997.366297605 & 276.950253872744 \tabularnewline
0.75 & 17024.5963571319 & 273.51826862434 \tabularnewline
0.755 & 17051.8039324457 & 270.915067670837 \tabularnewline
0.76 & 17079.0787492218 & 269.147758225625 \tabularnewline
0.765 & 17106.5148417867 & 268.225576077257 \tabularnewline
0.77 & 17134.2104105315 & 268.172452115071 \tabularnewline
0.775 & 17162.2676167396 & 269.013529776683 \tabularnewline
0.78 & 17190.7922530065 & 270.762596885415 \tabularnewline
0.785 & 17219.8932303635 & 273.451413150807 \tabularnewline
0.79 & 17249.6818356437 & 277.091151565354 \tabularnewline
0.795 & 17280.2707357690 & 281.705331585148 \tabularnewline
0.8 & 17311.7727397792 & 287.280417495258 \tabularnewline
0.805 & 17344.2993735276 & 293.795938163339 \tabularnewline
0.81 & 17377.9593733635 & 301.191945454594 \tabularnewline
0.815 & 17412.857259206 & 309.409278615022 \tabularnewline
0.82 & 17449.0921975895 & 318.30062588409 \tabularnewline
0.825 & 17486.7574030519 & 327.752292845816 \tabularnewline
0.83 & 17525.9403417444 & 337.586969867343 \tabularnewline
0.835 & 17566.7239839253 & 347.636205760964 \tabularnewline
0.84 & 17609.1892923620 & 357.728606979835 \tabularnewline
0.845 & 17653.4190244333 & 367.712672573583 \tabularnewline
0.85 & 17699.5027643577 & 377.497978470011 \tabularnewline
0.855 & 17747.5428928767 & 387.064908385622 \tabularnewline
0.86 & 17797.6609583787 & 396.438583076114 \tabularnewline
0.865 & 17850.0036599804 & 405.794042981305 \tabularnewline
0.87 & 17904.7474245848 & 415.366726960584 \tabularnewline
0.875 & 17962.1004009934 & 425.511088406146 \tabularnewline
0.88 & 18022.3006549551 & 436.630863636716 \tabularnewline
0.885 & 18085.6094786673 & 449.09303539785 \tabularnewline
0.89 & 18152.2990652367 & 463.212915587709 \tabularnewline
0.895 & 18222.6343594655 & 479.122594232564 \tabularnewline
0.9 & 18296.8496634325 & 496.671940848713 \tabularnewline
0.905 & 18375.1214866249 & 515.403020444177 \tabularnewline
0.91 & 18457.5400735225 & 534.479823914518 \tabularnewline
0.915 & 18544.0828557302 & 552.748306618573 \tabularnewline
0.92 & 18634.5935631311 & 568.817386939005 \tabularnewline
0.925 & 18728.7706761135 & 581.168529751418 \tabularnewline
0.93 & 18826.1681120206 & 588.344790391434 \tabularnewline
0.935 & 18926.2093719135 & 589.10574289022 \tabularnewline
0.94 & 19028.2137871296 & 582.61645649093 \tabularnewline
0.945 & 19131.4301132134 & 568.569241753483 \tabularnewline
0.95 & 19235.0688677596 & 547.262469000294 \tabularnewline
0.955 & 19338.3211883807 & 519.547671496111 \tabularnewline
0.96 & 19440.3497815823 & 486.75354240978 \tabularnewline
0.965 & 19540.2385688209 & 450.509639992888 \tabularnewline
0.97 & 19636.8943867121 & 412.601083949201 \tabularnewline
0.975 & 19728.9092719832 & 374.973501801582 \tabularnewline
0.98 & 19814.4171561915 & 339.815342161512 \tabularnewline
0.985 & 19891.0124584611 & 309.586861891807 \tabularnewline
0.99 & 19955.8313476489 & 286.607693040562 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=19667&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]10697.7429208157[/C][C]1279.61403498495[/C][/ROW]
[ROW][C]0.015[/C][C]10908.7142107506[/C][C]1081.15379466182[/C][/ROW]
[ROW][C]0.02[/C][C]11123.3134520832[/C][C]881.11403286899[/C][/ROW]
[ROW][C]0.025[/C][C]11324.6077453104[/C][C]696.697783362989[/C][/ROW]
[ROW][C]0.03[/C][C]11502.2989797765[/C][C]538.921696603255[/C][/ROW]
[ROW][C]0.035[/C][C]11652.2141014160[/C][C]413.089387911385[/C][/ROW]
[ROW][C]0.04[/C][C]11774.7915272718[/C][C]320.271684598297[/C][/ROW]
[ROW][C]0.045[/C][C]11873.3206035216[/C][C]258.652112966007[/C][/ROW]
[ROW][C]0.05[/C][C]11952.4012797405[/C][C]224.074809380685[/C][/ROW]
[ROW][C]0.055[/C][C]12016.8257336423[/C][C]210.170242444758[/C][/ROW]
[ROW][C]0.06[/C][C]12070.9000285276[/C][C]209.667879958072[/C][/ROW]
[ROW][C]0.065[/C][C]12118.1265468276[/C][C]216.468669255167[/C][/ROW]
[ROW][C]0.07[/C][C]12161.1361477489[/C][C]226.486803613266[/C][/ROW]
[ROW][C]0.075[/C][C]12201.7662922681[/C][C]237.349920388252[/C][/ROW]
[ROW][C]0.08[/C][C]12241.2058275345[/C][C]247.731819327328[/C][/ROW]
[ROW][C]0.085[/C][C]12280.1544907036[/C][C]256.942467415711[/C][/ROW]
[ROW][C]0.09[/C][C]12318.9682530515[/C][C]264.677066287165[/C][/ROW]
[ROW][C]0.095[/C][C]12357.7780252047[/C][C]270.852663248436[/C][/ROW]
[ROW][C]0.1[/C][C]12396.5793425459[/C][C]275.532833649623[/C][/ROW]
[ROW][C]0.105[/C][C]12435.2959204931[/C][C]278.859222287146[/C][/ROW]
[ROW][C]0.11[/C][C]12473.8220501257[/C][C]281.040538429871[/C][/ROW]
[ROW][C]0.115[/C][C]12512.0490529583[/C][C]282.294306298185[/C][/ROW]
[ROW][C]0.12[/C][C]12549.8803814721[/C][C]282.852184712508[/C][/ROW]
[ROW][C]0.125[/C][C]12587.2390222275[/C][C]282.924183889193[/C][/ROW]
[ROW][C]0.13[/C][C]12624.069939483[/C][C]282.692993346735[/C][/ROW]
[ROW][C]0.135[/C][C]12660.3395206102[/C][C]282.298843061232[/C][/ROW]
[ROW][C]0.14[/C][C]12696.0333815354[/C][C]281.859476610417[/C][/ROW]
[ROW][C]0.145[/C][C]12731.1534445963[/C][C]281.461621834738[/C][/ROW]
[ROW][C]0.15[/C][C]12765.7148798033[/C][C]281.155870223224[/C][/ROW]
[ROW][C]0.155[/C][C]12799.7432705864[/C][C]280.9710369707[/C][/ROW]
[ROW][C]0.16[/C][C]12833.2722002493[/C][C]280.954707108607[/C][/ROW]
[ROW][C]0.165[/C][C]12866.3413369719[/C][C]281.113304049824[/C][/ROW]
[ROW][C]0.17[/C][C]12898.9950114730[/C][C]281.497006180448[/C][/ROW]
[ROW][C]0.175[/C][C]12931.2812251817[/C][C]282.120909622868[/C][/ROW]
[ROW][C]0.18[/C][C]12963.2509934632[/C][C]283.051591289904[/C][/ROW]
[ROW][C]0.185[/C][C]12994.9579146855[/C][C]284.34670144515[/C][/ROW]
[ROW][C]0.19[/C][C]13026.4578583805[/C][C]286.067129293823[/C][/ROW]
[ROW][C]0.195[/C][C]13057.8086807713[/C][C]288.255113916238[/C][/ROW]
[ROW][C]0.2[/C][C]13089.0698994168[/C][C]290.984411650960[/C][/ROW]
[ROW][C]0.205[/C][C]13120.3022864125[/C][C]294.292123538896[/C][/ROW]
[ROW][C]0.21[/C][C]13151.5673673954[/C][C]298.196616217101[/C][/ROW]
[ROW][C]0.215[/C][C]13182.9268380254[/C][C]302.709935946247[/C][/ROW]
[ROW][C]0.22[/C][C]13214.4419280085[/C][C]307.839268737339[/C][/ROW]
[ROW][C]0.225[/C][C]13246.1727535204[/C][C]313.546769261518[/C][/ROW]
[ROW][C]0.23[/C][C]13278.1777016207[/C][C]319.819920504675[/C][/ROW]
[ROW][C]0.235[/C][C]13310.5128855006[/C][C]326.599837731059[/C][/ROW]
[ROW][C]0.24[/C][C]13343.2316986102[/C][C]333.860994083154[/C][/ROW]
[ROW][C]0.245[/C][C]13376.3844808866[/C][C]341.562676143783[/C][/ROW]
[ROW][C]0.25[/C][C]13410.0182937620[/C][C]349.653754967908[/C][/ROW]
[ROW][C]0.255[/C][C]13444.1767846942[/C][C]358.119004196896[/C][/ROW]
[ROW][C]0.26[/C][C]13478.9001086955[/C][C]366.930832644429[/C][/ROW]
[ROW][C]0.265[/C][C]13514.2248653422[/C][C]376.074234982236[/C][/ROW]
[ROW][C]0.27[/C][C]13550.1840060647[/C][C]385.530548454171[/C][/ROW]
[ROW][C]0.275[/C][C]13586.8066685052[/C][C]395.274145122436[/C][/ROW]
[ROW][C]0.28[/C][C]13624.1179021563[/C][C]405.298987794873[/C][/ROW]
[ROW][C]0.285[/C][C]13662.1382615193[/C][C]415.581367633223[/C][/ROW]
[ROW][C]0.29[/C][C]13700.8832584127[/C][C]426.058168412311[/C][/ROW]
[ROW][C]0.295[/C][C]13740.3626822560[/C][C]436.700099534667[/C][/ROW]
[ROW][C]0.3[/C][C]13780.5798144873[/C][C]447.429079476485[/C][/ROW]
[ROW][C]0.305[/C][C]13821.5305790991[/C][C]458.1443237494[/C][/ROW]
[ROW][C]0.31[/C][C]13863.2026841347[/C][C]468.739331370943[/C][/ROW]
[ROW][C]0.315[/C][C]13905.574817723[/C][C]479.059198476359[/C][/ROW]
[ROW][C]0.32[/C][C]13948.6159660545[/C][C]489.004577119251[/C][/ROW]
[ROW][C]0.325[/C][C]13992.2849192786[/C][C]498.391034062823[/C][/ROW]
[ROW][C]0.33[/C][C]14036.5300247211[/C][C]507.064109380877[/C][/ROW]
[ROW][C]0.335[/C][C]14081.2892355849[/C][C]514.893844678423[/C][/ROW]
[ROW][C]0.34[/C][C]14126.490488263[/C][C]521.693778758041[/C][/ROW]
[ROW][C]0.345[/C][C]14172.0524236852[/C][C]527.358347862401[/C][/ROW]
[ROW][C]0.35[/C][C]14217.8854490271[/C][C]531.76925474469[/C][/ROW]
[ROW][C]0.355[/C][C]14263.8931169958[/C][C]534.824835867507[/C][/ROW]
[ROW][C]0.36[/C][C]14309.9737820724[/C][C]536.458047924158[/C][/ROW]
[ROW][C]0.365[/C][C]14356.0224777299[/C][C]536.63706461482[/C][/ROW]
[ROW][C]0.37[/C][C]14401.9329466987[/C][C]535.35827990135[/C][/ROW]
[ROW][C]0.375[/C][C]14447.5997485277[/C][C]532.65340548336[/C][/ROW]
[ROW][C]0.38[/C][C]14492.9203653430[/C][C]528.559347782492[/C][/ROW]
[ROW][C]0.385[/C][C]14537.7972279183[/C][C]523.176007037098[/C][/ROW]
[ROW][C]0.39[/C][C]14582.139589676[/C][C]516.614099353869[/C][/ROW]
[ROW][C]0.395[/C][C]14625.8651855219[/C][C]509.001610381975[/C][/ROW]
[ROW][C]0.4[/C][C]14668.9016247460[/C][C]500.488256944236[/C][/ROW]
[ROW][C]0.405[/C][C]14711.1874816826[/C][C]491.240033813351[/C][/ROW]
[ROW][C]0.41[/C][C]14752.6730634389[/C][C]481.424754942725[/C][/ROW]
[ROW][C]0.415[/C][C]14793.3208497717[/C][C]471.176881073994[/C][/ROW]
[ROW][C]0.42[/C][C]14833.1056151470[/C][C]460.715466786454[/C][/ROW]
[ROW][C]0.425[/C][C]14872.0142563399[/C][C]450.183671292045[/C][/ROW]
[ROW][C]0.43[/C][C]14910.0453599136[/C][C]439.70911663172[/C][/ROW]
[ROW][C]0.435[/C][C]14947.2085520866[/C][C]429.470229957909[/C][/ROW]
[ROW][C]0.44[/C][C]14983.5236785601[/C][C]419.553998712410[/C][/ROW]
[ROW][C]0.445[/C][C]15019.0198637851[/C][C]410.075894053142[/C][/ROW]
[ROW][C]0.45[/C][C]15053.7344980229[/C][C]401.139022224333[/C][/ROW]
[ROW][C]0.455[/C][C]15087.7121967387[/C][C]392.791517980744[/C][/ROW]
[ROW][C]0.46[/C][C]15121.0037708079[/C][C]385.095113642301[/C][/ROW]
[ROW][C]0.465[/C][C]15153.6652383152[/C][C]378.132926420738[/C][/ROW]
[ROW][C]0.47[/C][C]15185.7569000025[/C][C]371.887372811904[/C][/ROW]
[ROW][C]0.475[/C][C]15217.3424913469[/C][C]366.400610840076[/C][/ROW]
[ROW][C]0.48[/C][C]15248.4884154499[/C][C]361.71310117407[/C][/ROW]
[ROW][C]0.485[/C][C]15279.2630529622[/C][C]357.828072903161[/C][/ROW]
[ROW][C]0.49[/C][C]15309.7361386248[/C][C]354.722339011718[/C][/ROW]
[ROW][C]0.495[/C][C]15339.9781890314[/C][C]352.447708176245[/C][/ROW]
[ROW][C]0.5[/C][C]15370.0599631218[/C][C]350.983973897264[/C][/ROW]
[ROW][C]0.505[/C][C]15400.0519357857[/C][C]350.325709358241[/C][/ROW]
[ROW][C]0.51[/C][C]15430.0237657300[/C][C]350.496809232196[/C][/ROW]
[ROW][C]0.515[/C][C]15460.0437412642[/C][C]351.473240998559[/C][/ROW]
[ROW][C]0.52[/C][C]15490.1781916135[/C][C]353.221778573741[/C][/ROW]
[ROW][C]0.525[/C][C]15520.4908564101[/C][C]355.726600980080[/C][/ROW]
[ROW][C]0.53[/C][C]15551.0422117401[/C][C]358.969595916808[/C][/ROW]
[ROW][C]0.535[/C][C]15581.8887571095[/C][C]362.87916626877[/C][/ROW]
[ROW][C]0.54[/C][C]15613.0822735108[/C][C]367.39780177879[/C][/ROW]
[ROW][C]0.545[/C][C]15644.6690680463[/C][C]372.469034581168[/C][/ROW]
[ROW][C]0.55[/C][C]15676.6892249588[/C][C]377.982699394769[/C][/ROW]
[ROW][C]0.555[/C][C]15709.1758861865[/C][C]383.852713875203[/C][/ROW]
[ROW][C]0.56[/C][C]15742.1545865208[/C][C]389.985360800128[/C][/ROW]
[ROW][C]0.565[/C][C]15775.6426690290[/C][C]396.24367597367[/C][/ROW]
[ROW][C]0.57[/C][C]15809.6488056074[/C][C]402.520772616935[/C][/ROW]
[ROW][C]0.575[/C][C]15844.1726454526[/C][C]408.718861732403[/C][/ROW]
[ROW][C]0.58[/C][C]15879.2046110209[/C][C]414.681003344997[/C][/ROW]
[ROW][C]0.585[/C][C]15914.7258569157[/C][C]420.310373617163[/C][/ROW]
[ROW][C]0.59[/C][C]15950.7084023242[/C][C]425.471128080536[/C][/ROW]
[ROW][C]0.595[/C][C]15987.1154423892[/C][C]430.063880309534[/C][/ROW]
[ROW][C]0.6[/C][C]16023.9018385055[/C][C]433.993861785498[/C][/ROW]
[ROW][C]0.605[/C][C]16061.0147821999[/C][C]437.153370689013[/C][/ROW]
[ROW][C]0.61[/C][C]16098.3946222127[/C][C]439.49406343209[/C][/ROW]
[ROW][C]0.615[/C][C]16135.9758398002[/C][C]440.923882984868[/C][/ROW]
[ROW][C]0.62[/C][C]16173.688153248[/C][C]441.412814124363[/C][/ROW]
[ROW][C]0.625[/C][C]16211.4577292066[/C][C]440.909822601121[/C][/ROW]
[ROW][C]0.63[/C][C]16249.2084757687[/C][C]439.414304869122[/C][/ROW]
[ROW][C]0.635[/C][C]16286.8633902091[/C][C]436.909898062309[/C][/ROW]
[ROW][C]0.64[/C][C]16324.3459329956[/C][C]433.42629898988[/C][/ROW]
[ROW][C]0.645[/C][C]16361.5813990276[/C][C]428.997837629053[/C][/ROW]
[ROW][C]0.65[/C][C]16398.4982570477[/C][C]423.643230401067[/C][/ROW]
[ROW][C]0.655[/C][C]16435.0294287963[/C][C]417.478285451688[/C][/ROW]
[ROW][C]0.66[/C][C]16471.1134807409[/C][C]410.517419756983[/C][/ROW]
[ROW][C]0.665[/C][C]16506.6957031397[/C][C]402.879874613511[/C][/ROW]
[ROW][C]0.67[/C][C]16541.7290538308[/C][C]394.673490493835[/C][/ROW]
[ROW][C]0.675[/C][C]16576.1749475115[/C][C]385.989615976371[/C][/ROW]
[ROW][C]0.68[/C][C]16610.0038754247[/C][C]376.940028745762[/C][/ROW]
[ROW][C]0.685[/C][C]16643.1958452997[/C][C]367.643041912941[/C][/ROW]
[ROW][C]0.69[/C][C]16675.7406370695[/C][C]358.228354084755[/C][/ROW]
[ROW][C]0.695[/C][C]16707.6378761815[/C][C]348.813435742313[/C][/ROW]
[ROW][C]0.7[/C][C]16738.8969330693[/C][C]339.511101352003[/C][/ROW]
[ROW][C]0.705[/C][C]16769.5366642472[/C][C]330.450721055957[/C][/ROW]
[ROW][C]0.71[/C][C]16799.5850171829[/C][C]321.71083989342[/C][/ROW]
[ROW][C]0.715[/C][C]16829.0785271114[/C][C]313.415662405294[/C][/ROW]
[ROW][C]0.72[/C][C]16858.0617387704[/C][C]305.652107378611[/C][/ROW]
[ROW][C]0.725[/C][C]16886.5865891039[/C][C]298.481933612699[/C][/ROW]
[ROW][C]0.73[/C][C]16914.7117877653[/C][C]291.986697374270[/C][/ROW]
[ROW][C]0.735[/C][C]16942.5022303052[/C][C]286.207490132402[/C][/ROW]
[ROW][C]0.74[/C][C]16970.0284739321[/C][C]281.188534213024[/C][/ROW]
[ROW][C]0.745[/C][C]16997.366297605[/C][C]276.950253872744[/C][/ROW]
[ROW][C]0.75[/C][C]17024.5963571319[/C][C]273.51826862434[/C][/ROW]
[ROW][C]0.755[/C][C]17051.8039324457[/C][C]270.915067670837[/C][/ROW]
[ROW][C]0.76[/C][C]17079.0787492218[/C][C]269.147758225625[/C][/ROW]
[ROW][C]0.765[/C][C]17106.5148417867[/C][C]268.225576077257[/C][/ROW]
[ROW][C]0.77[/C][C]17134.2104105315[/C][C]268.172452115071[/C][/ROW]
[ROW][C]0.775[/C][C]17162.2676167396[/C][C]269.013529776683[/C][/ROW]
[ROW][C]0.78[/C][C]17190.7922530065[/C][C]270.762596885415[/C][/ROW]
[ROW][C]0.785[/C][C]17219.8932303635[/C][C]273.451413150807[/C][/ROW]
[ROW][C]0.79[/C][C]17249.6818356437[/C][C]277.091151565354[/C][/ROW]
[ROW][C]0.795[/C][C]17280.2707357690[/C][C]281.705331585148[/C][/ROW]
[ROW][C]0.8[/C][C]17311.7727397792[/C][C]287.280417495258[/C][/ROW]
[ROW][C]0.805[/C][C]17344.2993735276[/C][C]293.795938163339[/C][/ROW]
[ROW][C]0.81[/C][C]17377.9593733635[/C][C]301.191945454594[/C][/ROW]
[ROW][C]0.815[/C][C]17412.857259206[/C][C]309.409278615022[/C][/ROW]
[ROW][C]0.82[/C][C]17449.0921975895[/C][C]318.30062588409[/C][/ROW]
[ROW][C]0.825[/C][C]17486.7574030519[/C][C]327.752292845816[/C][/ROW]
[ROW][C]0.83[/C][C]17525.9403417444[/C][C]337.586969867343[/C][/ROW]
[ROW][C]0.835[/C][C]17566.7239839253[/C][C]347.636205760964[/C][/ROW]
[ROW][C]0.84[/C][C]17609.1892923620[/C][C]357.728606979835[/C][/ROW]
[ROW][C]0.845[/C][C]17653.4190244333[/C][C]367.712672573583[/C][/ROW]
[ROW][C]0.85[/C][C]17699.5027643577[/C][C]377.497978470011[/C][/ROW]
[ROW][C]0.855[/C][C]17747.5428928767[/C][C]387.064908385622[/C][/ROW]
[ROW][C]0.86[/C][C]17797.6609583787[/C][C]396.438583076114[/C][/ROW]
[ROW][C]0.865[/C][C]17850.0036599804[/C][C]405.794042981305[/C][/ROW]
[ROW][C]0.87[/C][C]17904.7474245848[/C][C]415.366726960584[/C][/ROW]
[ROW][C]0.875[/C][C]17962.1004009934[/C][C]425.511088406146[/C][/ROW]
[ROW][C]0.88[/C][C]18022.3006549551[/C][C]436.630863636716[/C][/ROW]
[ROW][C]0.885[/C][C]18085.6094786673[/C][C]449.09303539785[/C][/ROW]
[ROW][C]0.89[/C][C]18152.2990652367[/C][C]463.212915587709[/C][/ROW]
[ROW][C]0.895[/C][C]18222.6343594655[/C][C]479.122594232564[/C][/ROW]
[ROW][C]0.9[/C][C]18296.8496634325[/C][C]496.671940848713[/C][/ROW]
[ROW][C]0.905[/C][C]18375.1214866249[/C][C]515.403020444177[/C][/ROW]
[ROW][C]0.91[/C][C]18457.5400735225[/C][C]534.479823914518[/C][/ROW]
[ROW][C]0.915[/C][C]18544.0828557302[/C][C]552.748306618573[/C][/ROW]
[ROW][C]0.92[/C][C]18634.5935631311[/C][C]568.817386939005[/C][/ROW]
[ROW][C]0.925[/C][C]18728.7706761135[/C][C]581.168529751418[/C][/ROW]
[ROW][C]0.93[/C][C]18826.1681120206[/C][C]588.344790391434[/C][/ROW]
[ROW][C]0.935[/C][C]18926.2093719135[/C][C]589.10574289022[/C][/ROW]
[ROW][C]0.94[/C][C]19028.2137871296[/C][C]582.61645649093[/C][/ROW]
[ROW][C]0.945[/C][C]19131.4301132134[/C][C]568.569241753483[/C][/ROW]
[ROW][C]0.95[/C][C]19235.0688677596[/C][C]547.262469000294[/C][/ROW]
[ROW][C]0.955[/C][C]19338.3211883807[/C][C]519.547671496111[/C][/ROW]
[ROW][C]0.96[/C][C]19440.3497815823[/C][C]486.75354240978[/C][/ROW]
[ROW][C]0.965[/C][C]19540.2385688209[/C][C]450.509639992888[/C][/ROW]
[ROW][C]0.97[/C][C]19636.8943867121[/C][C]412.601083949201[/C][/ROW]
[ROW][C]0.975[/C][C]19728.9092719832[/C][C]374.973501801582[/C][/ROW]
[ROW][C]0.98[/C][C]19814.4171561915[/C][C]339.815342161512[/C][/ROW]
[ROW][C]0.985[/C][C]19891.0124584611[/C][C]309.586861891807[/C][/ROW]
[ROW][C]0.99[/C][C]19955.8313476489[/C][C]286.607693040562[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=19667&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=19667&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
0.0110697.74292081571279.61403498495
0.01510908.71421075061081.15379466182
0.0211123.3134520832881.11403286899
0.02511324.6077453104696.697783362989
0.0311502.2989797765538.921696603255
0.03511652.2141014160413.089387911385
0.0411774.7915272718320.271684598297
0.04511873.3206035216258.652112966007
0.0511952.4012797405224.074809380685
0.05512016.8257336423210.170242444758
0.0612070.9000285276209.667879958072
0.06512118.1265468276216.468669255167
0.0712161.1361477489226.486803613266
0.07512201.7662922681237.349920388252
0.0812241.2058275345247.731819327328
0.08512280.1544907036256.942467415711
0.0912318.9682530515264.677066287165
0.09512357.7780252047270.852663248436
0.112396.5793425459275.532833649623
0.10512435.2959204931278.859222287146
0.1112473.8220501257281.040538429871
0.11512512.0490529583282.294306298185
0.1212549.8803814721282.852184712508
0.12512587.2390222275282.924183889193
0.1312624.069939483282.692993346735
0.13512660.3395206102282.298843061232
0.1412696.0333815354281.859476610417
0.14512731.1534445963281.461621834738
0.1512765.7148798033281.155870223224
0.15512799.7432705864280.9710369707
0.1612833.2722002493280.954707108607
0.16512866.3413369719281.113304049824
0.1712898.9950114730281.497006180448
0.17512931.2812251817282.120909622868
0.1812963.2509934632283.051591289904
0.18512994.9579146855284.34670144515
0.1913026.4578583805286.067129293823
0.19513057.8086807713288.255113916238
0.213089.0698994168290.984411650960
0.20513120.3022864125294.292123538896
0.2113151.5673673954298.196616217101
0.21513182.9268380254302.709935946247
0.2213214.4419280085307.839268737339
0.22513246.1727535204313.546769261518
0.2313278.1777016207319.819920504675
0.23513310.5128855006326.599837731059
0.2413343.2316986102333.860994083154
0.24513376.3844808866341.562676143783
0.2513410.0182937620349.653754967908
0.25513444.1767846942358.119004196896
0.2613478.9001086955366.930832644429
0.26513514.2248653422376.074234982236
0.2713550.1840060647385.530548454171
0.27513586.8066685052395.274145122436
0.2813624.1179021563405.298987794873
0.28513662.1382615193415.581367633223
0.2913700.8832584127426.058168412311
0.29513740.3626822560436.700099534667
0.313780.5798144873447.429079476485
0.30513821.5305790991458.1443237494
0.3113863.2026841347468.739331370943
0.31513905.574817723479.059198476359
0.3213948.6159660545489.004577119251
0.32513992.2849192786498.391034062823
0.3314036.5300247211507.064109380877
0.33514081.2892355849514.893844678423
0.3414126.490488263521.693778758041
0.34514172.0524236852527.358347862401
0.3514217.8854490271531.76925474469
0.35514263.8931169958534.824835867507
0.3614309.9737820724536.458047924158
0.36514356.0224777299536.63706461482
0.3714401.9329466987535.35827990135
0.37514447.5997485277532.65340548336
0.3814492.9203653430528.559347782492
0.38514537.7972279183523.176007037098
0.3914582.139589676516.614099353869
0.39514625.8651855219509.001610381975
0.414668.9016247460500.488256944236
0.40514711.1874816826491.240033813351
0.4114752.6730634389481.424754942725
0.41514793.3208497717471.176881073994
0.4214833.1056151470460.715466786454
0.42514872.0142563399450.183671292045
0.4314910.0453599136439.70911663172
0.43514947.2085520866429.470229957909
0.4414983.5236785601419.553998712410
0.44515019.0198637851410.075894053142
0.4515053.7344980229401.139022224333
0.45515087.7121967387392.791517980744
0.4615121.0037708079385.095113642301
0.46515153.6652383152378.132926420738
0.4715185.7569000025371.887372811904
0.47515217.3424913469366.400610840076
0.4815248.4884154499361.71310117407
0.48515279.2630529622357.828072903161
0.4915309.7361386248354.722339011718
0.49515339.9781890314352.447708176245
0.515370.0599631218350.983973897264
0.50515400.0519357857350.325709358241
0.5115430.0237657300350.496809232196
0.51515460.0437412642351.473240998559
0.5215490.1781916135353.221778573741
0.52515520.4908564101355.726600980080
0.5315551.0422117401358.969595916808
0.53515581.8887571095362.87916626877
0.5415613.0822735108367.39780177879
0.54515644.6690680463372.469034581168
0.5515676.6892249588377.982699394769
0.55515709.1758861865383.852713875203
0.5615742.1545865208389.985360800128
0.56515775.6426690290396.24367597367
0.5715809.6488056074402.520772616935
0.57515844.1726454526408.718861732403
0.5815879.2046110209414.681003344997
0.58515914.7258569157420.310373617163
0.5915950.7084023242425.471128080536
0.59515987.1154423892430.063880309534
0.616023.9018385055433.993861785498
0.60516061.0147821999437.153370689013
0.6116098.3946222127439.49406343209
0.61516135.9758398002440.923882984868
0.6216173.688153248441.412814124363
0.62516211.4577292066440.909822601121
0.6316249.2084757687439.414304869122
0.63516286.8633902091436.909898062309
0.6416324.3459329956433.42629898988
0.64516361.5813990276428.997837629053
0.6516398.4982570477423.643230401067
0.65516435.0294287963417.478285451688
0.6616471.1134807409410.517419756983
0.66516506.6957031397402.879874613511
0.6716541.7290538308394.673490493835
0.67516576.1749475115385.989615976371
0.6816610.0038754247376.940028745762
0.68516643.1958452997367.643041912941
0.6916675.7406370695358.228354084755
0.69516707.6378761815348.813435742313
0.716738.8969330693339.511101352003
0.70516769.5366642472330.450721055957
0.7116799.5850171829321.71083989342
0.71516829.0785271114313.415662405294
0.7216858.0617387704305.652107378611
0.72516886.5865891039298.481933612699
0.7316914.7117877653291.986697374270
0.73516942.5022303052286.207490132402
0.7416970.0284739321281.188534213024
0.74516997.366297605276.950253872744
0.7517024.5963571319273.51826862434
0.75517051.8039324457270.915067670837
0.7617079.0787492218269.147758225625
0.76517106.5148417867268.225576077257
0.7717134.2104105315268.172452115071
0.77517162.2676167396269.013529776683
0.7817190.7922530065270.762596885415
0.78517219.8932303635273.451413150807
0.7917249.6818356437277.091151565354
0.79517280.2707357690281.705331585148
0.817311.7727397792287.280417495258
0.80517344.2993735276293.795938163339
0.8117377.9593733635301.191945454594
0.81517412.857259206309.409278615022
0.8217449.0921975895318.30062588409
0.82517486.7574030519327.752292845816
0.8317525.9403417444337.586969867343
0.83517566.7239839253347.636205760964
0.8417609.1892923620357.728606979835
0.84517653.4190244333367.712672573583
0.8517699.5027643577377.497978470011
0.85517747.5428928767387.064908385622
0.8617797.6609583787396.438583076114
0.86517850.0036599804405.794042981305
0.8717904.7474245848415.366726960584
0.87517962.1004009934425.511088406146
0.8818022.3006549551436.630863636716
0.88518085.6094786673449.09303539785
0.8918152.2990652367463.212915587709
0.89518222.6343594655479.122594232564
0.918296.8496634325496.671940848713
0.90518375.1214866249515.403020444177
0.9118457.5400735225534.479823914518
0.91518544.0828557302552.748306618573
0.9218634.5935631311568.817386939005
0.92518728.7706761135581.168529751418
0.9318826.1681120206588.344790391434
0.93518926.2093719135589.10574289022
0.9419028.2137871296582.61645649093
0.94519131.4301132134568.569241753483
0.9519235.0688677596547.262469000294
0.95519338.3211883807519.547671496111
0.9619440.3497815823486.75354240978
0.96519540.2385688209450.509639992888
0.9719636.8943867121412.601083949201
0.97519728.9092719832374.973501801582
0.9819814.4171561915339.815342161512
0.98519891.0124584611309.586861891807
0.9919955.8313476489286.607693040562


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0 ; par2 = 0 ;
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')