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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 03 Nov 2008 12:08:59 -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/2008/Nov/03/t1225739401jku07cgi4ei7zbk.htm/, Retrieved Sun, 19 May 2024 08:55:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=21009, Retrieved Sun, 19 May 2024 08:55:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact155

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Harrell-Davis Quantiles] [Investigating dis...] [2007-10-22 20:06:26] [b9964c45117f7aac638ab9056d451faa]
F   PD  [Harrell-Davis Quantiles] [Harrell – Davis Q...] [2008-10-27 19:28:41] [d134696a922d84037f02d49ded84b0bd]
- R  D      [Harrell-Davis Quantiles] [Q9] [2008-11-03 19:08:59] [db9a5fd0f9c3e1245d8075d8bb09236d] [Current]
-   P         [Harrell-Davis Quantiles] [Q10] [2008-11-03 19:11:41] [d134696a922d84037f02d49ded84b0bd]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9097.4
12639.8
13040.1
11687.3
11191.7
11391.9
11793.1
13933.2
12778.1
11810.3
13698.4
11956.6
10723.8
13938.9
13979.8
13807.4
12973.9
12509.8
12934.1
14908.3
13772.1
13012.6
14049.9
11816.5
11593.2
14466.2
13615.9
14733.9
13880.7
13527.5
13584
16170.2
13260.6
14741.9
15486.5
13154.5
12621.2
15031.6
15452.4
15428
13105.9
14716.8
14180
16202.2
14392.4
15140.6
15960.1
14351.3
13230.2
15202.1
17157.3
16159.1
13405.7
17224.7
17338.4
17370.6
18817.8
16593.2
17979.5
17015.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21009&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]3 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=21009&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21009&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 time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-4642.969332863411363.18420772144
0.02-4146.851983322841044.72742438862
0.03-3670.05374141116757.722318475056
0.04-3291.10960733486551.012851656564
0.05-3016.41836212238419.252345404932
0.06-2821.59008216469338.61434819097
0.07-2679.4245178396289.106365765068
0.08-2569.63682625776259.704473583321
0.09-2479.01090030359246.069753171255
0.1-2399.04395692855246.951847839523
0.11-2323.99622991637261.08847883404
0.12-2249.85455316879285.568941455439
0.13-2173.9281874987315.938180430001
0.14-2094.72275804299347.160413656668
0.15-2011.85589159934374.563726161822
0.16-1925.90211518627394.548402280062
0.17-1838.14502538165404.976353232816
0.18-1750.26925405320405.28835166951
0.19-1664.0473880413396.314920653466
0.2-1581.07450052890379.899588770068
0.21-1502.58472421228358.415533031998
0.22-1429.36062069361334.318889344820
0.23-1361.72549937300309.827248637573
0.24-1299.59621483429286.718191326737
0.25-1242.57027388087266.286530247922
0.26-1190.02431657794249.358388413198
0.27-1141.20788890928236.378914353985
0.28-1095.32376735369227.44115140972
0.29-1051.59187521912222.361909665423
0.3-1009.29728375046220.710744386345
0.31-967.824158024737221.869497921114
0.32-926.67753963553225.089378440447
0.33-885.494365219023229.578792762812
0.34-844.044690251348234.563700782238
0.35-802.223996078578239.347137323
0.36-760.037711228279243.358637025087
0.37-717.579522227717246.181336192111
0.38-675.005483517764247.569907033036
0.39-632.50619512871247.445317372978
0.4-590.27931387548245.895183890256
0.41-548.504399166796243.138687345887
0.42-507.321638245246239.507205824571
0.43-466.815456420015235.409202362334
0.44-427.003506862692231.298817112328
0.45-387.831134052144227.650441107379
0.46-349.171148081906224.928250305841
0.47-310.828613550550223.560698453387
0.48-272.550285314761223.910810671627
0.49-234.038236277403226.243527129858
0.5-194.967055032613230.695496351549
0.51-155.003717391827237.250327427026
0.52-113.828880801882245.728941428813
0.53-71.1579878812889255.799752945672
0.54-26.7602977036514267.005178839041
0.5519.5261051996304278.806078461371
0.5667.7850698566014290.631843639214
0.57118.020154042634301.934370894566
0.58170.159917198684312.239308600701
0.59224.070341499583321.186160487077
0.6279.573101695767328.559498719642
0.61336.467674521599334.301570171611
0.62394.5548469774338.510335769994
0.63453.659136513197341.419865691566
0.64513.647986440514343.368629027373
0.65574.446271186072344.757957760572
0.66636.045481688904346.010904430347
0.67698.507751081959347.535453044646
0.68761.965410643185349.698287893185
0.69826.616884963476352.812428537364
0.7892.719426033567357.136684271804
0.71960.578613573706362.87074971721
0.721030.53405692718370.146791286778
0.731102.94075949316379.00207656242
0.741178.14650782881389.32995702035
0.751256.4674716536400.847615863497
0.761338.16647740732413.076845451692
0.771423.44009679087425.394896270542
0.781512.42035564148437.14233774021
0.791605.19327980870447.794715274285
0.81701.82939132039457.126104896463
0.811802.41212697386465.297401842855
0.821907.04247380770472.759996083909
0.832015.79678748646479.950307408785
0.842128.62431015482486.795742451247
0.852245.19304542289492.244729098286
0.862364.72412385159494.093656960953
0.872485.88692628434489.333248220069
0.882606.84811766868475.01590428012
0.892725.5665908985449.424914500249
0.92840.39763748147413.250078059498
0.912951.01415746009370.52286648507
0.923059.5729988026329.320805617264
0.933171.94398358919302.303277616896
0.943298.63594057977305.257679935011
0.953454.66975674218349.058609040731
0.963656.84469604733430.606803428058
0.973915.72171813500535.858034870381
0.984220.0542323577648.760369271297
0.994518.56263799237753.222278227676

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -4642.96933286341 & 1363.18420772144 \tabularnewline
0.02 & -4146.85198332284 & 1044.72742438862 \tabularnewline
0.03 & -3670.05374141116 & 757.722318475056 \tabularnewline
0.04 & -3291.10960733486 & 551.012851656564 \tabularnewline
0.05 & -3016.41836212238 & 419.252345404932 \tabularnewline
0.06 & -2821.59008216469 & 338.61434819097 \tabularnewline
0.07 & -2679.4245178396 & 289.106365765068 \tabularnewline
0.08 & -2569.63682625776 & 259.704473583321 \tabularnewline
0.09 & -2479.01090030359 & 246.069753171255 \tabularnewline
0.1 & -2399.04395692855 & 246.951847839523 \tabularnewline
0.11 & -2323.99622991637 & 261.08847883404 \tabularnewline
0.12 & -2249.85455316879 & 285.568941455439 \tabularnewline
0.13 & -2173.9281874987 & 315.938180430001 \tabularnewline
0.14 & -2094.72275804299 & 347.160413656668 \tabularnewline
0.15 & -2011.85589159934 & 374.563726161822 \tabularnewline
0.16 & -1925.90211518627 & 394.548402280062 \tabularnewline
0.17 & -1838.14502538165 & 404.976353232816 \tabularnewline
0.18 & -1750.26925405320 & 405.28835166951 \tabularnewline
0.19 & -1664.0473880413 & 396.314920653466 \tabularnewline
0.2 & -1581.07450052890 & 379.899588770068 \tabularnewline
0.21 & -1502.58472421228 & 358.415533031998 \tabularnewline
0.22 & -1429.36062069361 & 334.318889344820 \tabularnewline
0.23 & -1361.72549937300 & 309.827248637573 \tabularnewline
0.24 & -1299.59621483429 & 286.718191326737 \tabularnewline
0.25 & -1242.57027388087 & 266.286530247922 \tabularnewline
0.26 & -1190.02431657794 & 249.358388413198 \tabularnewline
0.27 & -1141.20788890928 & 236.378914353985 \tabularnewline
0.28 & -1095.32376735369 & 227.44115140972 \tabularnewline
0.29 & -1051.59187521912 & 222.361909665423 \tabularnewline
0.3 & -1009.29728375046 & 220.710744386345 \tabularnewline
0.31 & -967.824158024737 & 221.869497921114 \tabularnewline
0.32 & -926.67753963553 & 225.089378440447 \tabularnewline
0.33 & -885.494365219023 & 229.578792762812 \tabularnewline
0.34 & -844.044690251348 & 234.563700782238 \tabularnewline
0.35 & -802.223996078578 & 239.347137323 \tabularnewline
0.36 & -760.037711228279 & 243.358637025087 \tabularnewline
0.37 & -717.579522227717 & 246.181336192111 \tabularnewline
0.38 & -675.005483517764 & 247.569907033036 \tabularnewline
0.39 & -632.50619512871 & 247.445317372978 \tabularnewline
0.4 & -590.27931387548 & 245.895183890256 \tabularnewline
0.41 & -548.504399166796 & 243.138687345887 \tabularnewline
0.42 & -507.321638245246 & 239.507205824571 \tabularnewline
0.43 & -466.815456420015 & 235.409202362334 \tabularnewline
0.44 & -427.003506862692 & 231.298817112328 \tabularnewline
0.45 & -387.831134052144 & 227.650441107379 \tabularnewline
0.46 & -349.171148081906 & 224.928250305841 \tabularnewline
0.47 & -310.828613550550 & 223.560698453387 \tabularnewline
0.48 & -272.550285314761 & 223.910810671627 \tabularnewline
0.49 & -234.038236277403 & 226.243527129858 \tabularnewline
0.5 & -194.967055032613 & 230.695496351549 \tabularnewline
0.51 & -155.003717391827 & 237.250327427026 \tabularnewline
0.52 & -113.828880801882 & 245.728941428813 \tabularnewline
0.53 & -71.1579878812889 & 255.799752945672 \tabularnewline
0.54 & -26.7602977036514 & 267.005178839041 \tabularnewline
0.55 & 19.5261051996304 & 278.806078461371 \tabularnewline
0.56 & 67.7850698566014 & 290.631843639214 \tabularnewline
0.57 & 118.020154042634 & 301.934370894566 \tabularnewline
0.58 & 170.159917198684 & 312.239308600701 \tabularnewline
0.59 & 224.070341499583 & 321.186160487077 \tabularnewline
0.6 & 279.573101695767 & 328.559498719642 \tabularnewline
0.61 & 336.467674521599 & 334.301570171611 \tabularnewline
0.62 & 394.5548469774 & 338.510335769994 \tabularnewline
0.63 & 453.659136513197 & 341.419865691566 \tabularnewline
0.64 & 513.647986440514 & 343.368629027373 \tabularnewline
0.65 & 574.446271186072 & 344.757957760572 \tabularnewline
0.66 & 636.045481688904 & 346.010904430347 \tabularnewline
0.67 & 698.507751081959 & 347.535453044646 \tabularnewline
0.68 & 761.965410643185 & 349.698287893185 \tabularnewline
0.69 & 826.616884963476 & 352.812428537364 \tabularnewline
0.7 & 892.719426033567 & 357.136684271804 \tabularnewline
0.71 & 960.578613573706 & 362.87074971721 \tabularnewline
0.72 & 1030.53405692718 & 370.146791286778 \tabularnewline
0.73 & 1102.94075949316 & 379.00207656242 \tabularnewline
0.74 & 1178.14650782881 & 389.32995702035 \tabularnewline
0.75 & 1256.4674716536 & 400.847615863497 \tabularnewline
0.76 & 1338.16647740732 & 413.076845451692 \tabularnewline
0.77 & 1423.44009679087 & 425.394896270542 \tabularnewline
0.78 & 1512.42035564148 & 437.14233774021 \tabularnewline
0.79 & 1605.19327980870 & 447.794715274285 \tabularnewline
0.8 & 1701.82939132039 & 457.126104896463 \tabularnewline
0.81 & 1802.41212697386 & 465.297401842855 \tabularnewline
0.82 & 1907.04247380770 & 472.759996083909 \tabularnewline
0.83 & 2015.79678748646 & 479.950307408785 \tabularnewline
0.84 & 2128.62431015482 & 486.795742451247 \tabularnewline
0.85 & 2245.19304542289 & 492.244729098286 \tabularnewline
0.86 & 2364.72412385159 & 494.093656960953 \tabularnewline
0.87 & 2485.88692628434 & 489.333248220069 \tabularnewline
0.88 & 2606.84811766868 & 475.01590428012 \tabularnewline
0.89 & 2725.5665908985 & 449.424914500249 \tabularnewline
0.9 & 2840.39763748147 & 413.250078059498 \tabularnewline
0.91 & 2951.01415746009 & 370.52286648507 \tabularnewline
0.92 & 3059.5729988026 & 329.320805617264 \tabularnewline
0.93 & 3171.94398358919 & 302.303277616896 \tabularnewline
0.94 & 3298.63594057977 & 305.257679935011 \tabularnewline
0.95 & 3454.66975674218 & 349.058609040731 \tabularnewline
0.96 & 3656.84469604733 & 430.606803428058 \tabularnewline
0.97 & 3915.72171813500 & 535.858034870381 \tabularnewline
0.98 & 4220.0542323577 & 648.760369271297 \tabularnewline
0.99 & 4518.56263799237 & 753.222278227676 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=21009&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]-4642.96933286341[/C][C]1363.18420772144[/C][/ROW]
[ROW][C]0.02[/C][C]-4146.85198332284[/C][C]1044.72742438862[/C][/ROW]
[ROW][C]0.03[/C][C]-3670.05374141116[/C][C]757.722318475056[/C][/ROW]
[ROW][C]0.04[/C][C]-3291.10960733486[/C][C]551.012851656564[/C][/ROW]
[ROW][C]0.05[/C][C]-3016.41836212238[/C][C]419.252345404932[/C][/ROW]
[ROW][C]0.06[/C][C]-2821.59008216469[/C][C]338.61434819097[/C][/ROW]
[ROW][C]0.07[/C][C]-2679.4245178396[/C][C]289.106365765068[/C][/ROW]
[ROW][C]0.08[/C][C]-2569.63682625776[/C][C]259.704473583321[/C][/ROW]
[ROW][C]0.09[/C][C]-2479.01090030359[/C][C]246.069753171255[/C][/ROW]
[ROW][C]0.1[/C][C]-2399.04395692855[/C][C]246.951847839523[/C][/ROW]
[ROW][C]0.11[/C][C]-2323.99622991637[/C][C]261.08847883404[/C][/ROW]
[ROW][C]0.12[/C][C]-2249.85455316879[/C][C]285.568941455439[/C][/ROW]
[ROW][C]0.13[/C][C]-2173.9281874987[/C][C]315.938180430001[/C][/ROW]
[ROW][C]0.14[/C][C]-2094.72275804299[/C][C]347.160413656668[/C][/ROW]
[ROW][C]0.15[/C][C]-2011.85589159934[/C][C]374.563726161822[/C][/ROW]
[ROW][C]0.16[/C][C]-1925.90211518627[/C][C]394.548402280062[/C][/ROW]
[ROW][C]0.17[/C][C]-1838.14502538165[/C][C]404.976353232816[/C][/ROW]
[ROW][C]0.18[/C][C]-1750.26925405320[/C][C]405.28835166951[/C][/ROW]
[ROW][C]0.19[/C][C]-1664.0473880413[/C][C]396.314920653466[/C][/ROW]
[ROW][C]0.2[/C][C]-1581.07450052890[/C][C]379.899588770068[/C][/ROW]
[ROW][C]0.21[/C][C]-1502.58472421228[/C][C]358.415533031998[/C][/ROW]
[ROW][C]0.22[/C][C]-1429.36062069361[/C][C]334.318889344820[/C][/ROW]
[ROW][C]0.23[/C][C]-1361.72549937300[/C][C]309.827248637573[/C][/ROW]
[ROW][C]0.24[/C][C]-1299.59621483429[/C][C]286.718191326737[/C][/ROW]
[ROW][C]0.25[/C][C]-1242.57027388087[/C][C]266.286530247922[/C][/ROW]
[ROW][C]0.26[/C][C]-1190.02431657794[/C][C]249.358388413198[/C][/ROW]
[ROW][C]0.27[/C][C]-1141.20788890928[/C][C]236.378914353985[/C][/ROW]
[ROW][C]0.28[/C][C]-1095.32376735369[/C][C]227.44115140972[/C][/ROW]
[ROW][C]0.29[/C][C]-1051.59187521912[/C][C]222.361909665423[/C][/ROW]
[ROW][C]0.3[/C][C]-1009.29728375046[/C][C]220.710744386345[/C][/ROW]
[ROW][C]0.31[/C][C]-967.824158024737[/C][C]221.869497921114[/C][/ROW]
[ROW][C]0.32[/C][C]-926.67753963553[/C][C]225.089378440447[/C][/ROW]
[ROW][C]0.33[/C][C]-885.494365219023[/C][C]229.578792762812[/C][/ROW]
[ROW][C]0.34[/C][C]-844.044690251348[/C][C]234.563700782238[/C][/ROW]
[ROW][C]0.35[/C][C]-802.223996078578[/C][C]239.347137323[/C][/ROW]
[ROW][C]0.36[/C][C]-760.037711228279[/C][C]243.358637025087[/C][/ROW]
[ROW][C]0.37[/C][C]-717.579522227717[/C][C]246.181336192111[/C][/ROW]
[ROW][C]0.38[/C][C]-675.005483517764[/C][C]247.569907033036[/C][/ROW]
[ROW][C]0.39[/C][C]-632.50619512871[/C][C]247.445317372978[/C][/ROW]
[ROW][C]0.4[/C][C]-590.27931387548[/C][C]245.895183890256[/C][/ROW]
[ROW][C]0.41[/C][C]-548.504399166796[/C][C]243.138687345887[/C][/ROW]
[ROW][C]0.42[/C][C]-507.321638245246[/C][C]239.507205824571[/C][/ROW]
[ROW][C]0.43[/C][C]-466.815456420015[/C][C]235.409202362334[/C][/ROW]
[ROW][C]0.44[/C][C]-427.003506862692[/C][C]231.298817112328[/C][/ROW]
[ROW][C]0.45[/C][C]-387.831134052144[/C][C]227.650441107379[/C][/ROW]
[ROW][C]0.46[/C][C]-349.171148081906[/C][C]224.928250305841[/C][/ROW]
[ROW][C]0.47[/C][C]-310.828613550550[/C][C]223.560698453387[/C][/ROW]
[ROW][C]0.48[/C][C]-272.550285314761[/C][C]223.910810671627[/C][/ROW]
[ROW][C]0.49[/C][C]-234.038236277403[/C][C]226.243527129858[/C][/ROW]
[ROW][C]0.5[/C][C]-194.967055032613[/C][C]230.695496351549[/C][/ROW]
[ROW][C]0.51[/C][C]-155.003717391827[/C][C]237.250327427026[/C][/ROW]
[ROW][C]0.52[/C][C]-113.828880801882[/C][C]245.728941428813[/C][/ROW]
[ROW][C]0.53[/C][C]-71.1579878812889[/C][C]255.799752945672[/C][/ROW]
[ROW][C]0.54[/C][C]-26.7602977036514[/C][C]267.005178839041[/C][/ROW]
[ROW][C]0.55[/C][C]19.5261051996304[/C][C]278.806078461371[/C][/ROW]
[ROW][C]0.56[/C][C]67.7850698566014[/C][C]290.631843639214[/C][/ROW]
[ROW][C]0.57[/C][C]118.020154042634[/C][C]301.934370894566[/C][/ROW]
[ROW][C]0.58[/C][C]170.159917198684[/C][C]312.239308600701[/C][/ROW]
[ROW][C]0.59[/C][C]224.070341499583[/C][C]321.186160487077[/C][/ROW]
[ROW][C]0.6[/C][C]279.573101695767[/C][C]328.559498719642[/C][/ROW]
[ROW][C]0.61[/C][C]336.467674521599[/C][C]334.301570171611[/C][/ROW]
[ROW][C]0.62[/C][C]394.5548469774[/C][C]338.510335769994[/C][/ROW]
[ROW][C]0.63[/C][C]453.659136513197[/C][C]341.419865691566[/C][/ROW]
[ROW][C]0.64[/C][C]513.647986440514[/C][C]343.368629027373[/C][/ROW]
[ROW][C]0.65[/C][C]574.446271186072[/C][C]344.757957760572[/C][/ROW]
[ROW][C]0.66[/C][C]636.045481688904[/C][C]346.010904430347[/C][/ROW]
[ROW][C]0.67[/C][C]698.507751081959[/C][C]347.535453044646[/C][/ROW]
[ROW][C]0.68[/C][C]761.965410643185[/C][C]349.698287893185[/C][/ROW]
[ROW][C]0.69[/C][C]826.616884963476[/C][C]352.812428537364[/C][/ROW]
[ROW][C]0.7[/C][C]892.719426033567[/C][C]357.136684271804[/C][/ROW]
[ROW][C]0.71[/C][C]960.578613573706[/C][C]362.87074971721[/C][/ROW]
[ROW][C]0.72[/C][C]1030.53405692718[/C][C]370.146791286778[/C][/ROW]
[ROW][C]0.73[/C][C]1102.94075949316[/C][C]379.00207656242[/C][/ROW]
[ROW][C]0.74[/C][C]1178.14650782881[/C][C]389.32995702035[/C][/ROW]
[ROW][C]0.75[/C][C]1256.4674716536[/C][C]400.847615863497[/C][/ROW]
[ROW][C]0.76[/C][C]1338.16647740732[/C][C]413.076845451692[/C][/ROW]
[ROW][C]0.77[/C][C]1423.44009679087[/C][C]425.394896270542[/C][/ROW]
[ROW][C]0.78[/C][C]1512.42035564148[/C][C]437.14233774021[/C][/ROW]
[ROW][C]0.79[/C][C]1605.19327980870[/C][C]447.794715274285[/C][/ROW]
[ROW][C]0.8[/C][C]1701.82939132039[/C][C]457.126104896463[/C][/ROW]
[ROW][C]0.81[/C][C]1802.41212697386[/C][C]465.297401842855[/C][/ROW]
[ROW][C]0.82[/C][C]1907.04247380770[/C][C]472.759996083909[/C][/ROW]
[ROW][C]0.83[/C][C]2015.79678748646[/C][C]479.950307408785[/C][/ROW]
[ROW][C]0.84[/C][C]2128.62431015482[/C][C]486.795742451247[/C][/ROW]
[ROW][C]0.85[/C][C]2245.19304542289[/C][C]492.244729098286[/C][/ROW]
[ROW][C]0.86[/C][C]2364.72412385159[/C][C]494.093656960953[/C][/ROW]
[ROW][C]0.87[/C][C]2485.88692628434[/C][C]489.333248220069[/C][/ROW]
[ROW][C]0.88[/C][C]2606.84811766868[/C][C]475.01590428012[/C][/ROW]
[ROW][C]0.89[/C][C]2725.5665908985[/C][C]449.424914500249[/C][/ROW]
[ROW][C]0.9[/C][C]2840.39763748147[/C][C]413.250078059498[/C][/ROW]
[ROW][C]0.91[/C][C]2951.01415746009[/C][C]370.52286648507[/C][/ROW]
[ROW][C]0.92[/C][C]3059.5729988026[/C][C]329.320805617264[/C][/ROW]
[ROW][C]0.93[/C][C]3171.94398358919[/C][C]302.303277616896[/C][/ROW]
[ROW][C]0.94[/C][C]3298.63594057977[/C][C]305.257679935011[/C][/ROW]
[ROW][C]0.95[/C][C]3454.66975674218[/C][C]349.058609040731[/C][/ROW]
[ROW][C]0.96[/C][C]3656.84469604733[/C][C]430.606803428058[/C][/ROW]
[ROW][C]0.97[/C][C]3915.72171813500[/C][C]535.858034870381[/C][/ROW]
[ROW][C]0.98[/C][C]4220.0542323577[/C][C]648.760369271297[/C][/ROW]
[ROW][C]0.99[/C][C]4518.56263799237[/C][C]753.222278227676[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=21009&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=21009&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
0.01-4642.969332863411363.18420772144
0.02-4146.851983322841044.72742438862
0.03-3670.05374141116757.722318475056
0.04-3291.10960733486551.012851656564
0.05-3016.41836212238419.252345404932
0.06-2821.59008216469338.61434819097
0.07-2679.4245178396289.106365765068
0.08-2569.63682625776259.704473583321
0.09-2479.01090030359246.069753171255
0.1-2399.04395692855246.951847839523
0.11-2323.99622991637261.08847883404
0.12-2249.85455316879285.568941455439
0.13-2173.9281874987315.938180430001
0.14-2094.72275804299347.160413656668
0.15-2011.85589159934374.563726161822
0.16-1925.90211518627394.548402280062
0.17-1838.14502538165404.976353232816
0.18-1750.26925405320405.28835166951
0.19-1664.0473880413396.314920653466
0.2-1581.07450052890379.899588770068
0.21-1502.58472421228358.415533031998
0.22-1429.36062069361334.318889344820
0.23-1361.72549937300309.827248637573
0.24-1299.59621483429286.718191326737
0.25-1242.57027388087266.286530247922
0.26-1190.02431657794249.358388413198
0.27-1141.20788890928236.378914353985
0.28-1095.32376735369227.44115140972
0.29-1051.59187521912222.361909665423
0.3-1009.29728375046220.710744386345
0.31-967.824158024737221.869497921114
0.32-926.67753963553225.089378440447
0.33-885.494365219023229.578792762812
0.34-844.044690251348234.563700782238
0.35-802.223996078578239.347137323
0.36-760.037711228279243.358637025087
0.37-717.579522227717246.181336192111
0.38-675.005483517764247.569907033036
0.39-632.50619512871247.445317372978
0.4-590.27931387548245.895183890256
0.41-548.504399166796243.138687345887
0.42-507.321638245246239.507205824571
0.43-466.815456420015235.409202362334
0.44-427.003506862692231.298817112328
0.45-387.831134052144227.650441107379
0.46-349.171148081906224.928250305841
0.47-310.828613550550223.560698453387
0.48-272.550285314761223.910810671627
0.49-234.038236277403226.243527129858
0.5-194.967055032613230.695496351549
0.51-155.003717391827237.250327427026
0.52-113.828880801882245.728941428813
0.53-71.1579878812889255.799752945672
0.54-26.7602977036514267.005178839041
0.5519.5261051996304278.806078461371
0.5667.7850698566014290.631843639214
0.57118.020154042634301.934370894566
0.58170.159917198684312.239308600701
0.59224.070341499583321.186160487077
0.6279.573101695767328.559498719642
0.61336.467674521599334.301570171611
0.62394.5548469774338.510335769994
0.63453.659136513197341.419865691566
0.64513.647986440514343.368629027373
0.65574.446271186072344.757957760572
0.66636.045481688904346.010904430347
0.67698.507751081959347.535453044646
0.68761.965410643185349.698287893185
0.69826.616884963476352.812428537364
0.7892.719426033567357.136684271804
0.71960.578613573706362.87074971721
0.721030.53405692718370.146791286778
0.731102.94075949316379.00207656242
0.741178.14650782881389.32995702035
0.751256.4674716536400.847615863497
0.761338.16647740732413.076845451692
0.771423.44009679087425.394896270542
0.781512.42035564148437.14233774021
0.791605.19327980870447.794715274285
0.81701.82939132039457.126104896463
0.811802.41212697386465.297401842855
0.821907.04247380770472.759996083909
0.832015.79678748646479.950307408785
0.842128.62431015482486.795742451247
0.852245.19304542289492.244729098286
0.862364.72412385159494.093656960953
0.872485.88692628434489.333248220069
0.882606.84811766868475.01590428012
0.892725.5665908985449.424914500249
0.92840.39763748147413.250078059498
0.912951.01415746009370.52286648507
0.923059.5729988026329.320805617264
0.933171.94398358919302.303277616896
0.943298.63594057977305.257679935011
0.953454.66975674218349.058609040731
0.963656.84469604733430.606803428058
0.973915.72171813500535.858034870381
0.984220.0542323577648.760369271297
0.994518.56263799237753.222278227676


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
x <- x-14095.6066666667
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')