FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 05 Aug 2015 12:02:43 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Aug/05/t14387730407637sbl897bjha9.htm/, Retrieved Thu, 16 May 2024 00:05:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279850, Retrieved Thu, 16 May 2024 00:05:01 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact161

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-08-05 11:02:43] [d41d8cd98f00b204e9800998ecf8427e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
5947968.00
5925816.00
5903352.00
5856864.00
6316752.00
6292416.00
5947968.00
5718960.00
5741112.00
5741112.00
5765760.00
5810064.00
5879016.00
5879016.00
5834712.00
5718960.00
6316752.00
6407856.00
6270264.00
5947968.00
6085872.00
5879016.00
5972304.00
6016920.00
6063408.00
5947968.00
5972304.00
5810064.00
6316752.00
6476808.00
6339216.00
6085872.00
6361368.00
6063408.00
6339216.00
6316752.00
6385704.00
6132360.00
6407856.00
6385704.00
6799104.00
6705816.00
6339216.00
6154512.00
6407856.00
6063408.00
6316752.00
6361368.00
6454656.00
6248112.00
6361368.00
6430320.00
6683664.00
6476808.00
6201312.00
5903352.00
6179160.00
5421000.00
5787912.00
5994456.00
6201312.00
5903352.00
5903352.00
5903352.00
6063408.00
5834712.00
5534568.00
5283408.00
5465616.00
4754256.00
5190120.00
5443464.00
5489952.00
5236608.00
5258760.00
5190120.00
5421000.00
5258760.00
4938960.00
4707768.00
5098704.00
4249752.00
4801056.00
5052216.00
5052216.00
4754256.00
4478760.00
4456608.00
4707768.00
4478760.00
4043208.00
3743064.00
4065360.00
3307512.00
3996408.00
4363008.00
4478760.00
4225416.00
3905304.00
4134312.00
4225416.00
4156464.00
3467256.00
3147456.00
3376152.00
2687256.00
3398616.00
3651960.00
3858504.00
3514056.00
3191760.00
3376152.00
3467256.00
3285048.00
2596152.00
2296008.00
2571504.00
1813656.00
2640456.00
3147456.00

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279850&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279850&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279850&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 time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012088758.08267105353707.600407638
0.022390978.1205479233011.930909609
0.032592246.74945991202809.292126591
0.042743472.55109331236824.237479618
0.052884221.62599023259571.424137267
0.063016612.50548463244527.286444325
0.073131130.1674757207113.52910448
0.083223826.57149445171326.88415326
0.093298534.27396831150858.881026959
0.13362654.94497124148312.958103994
0.113423374.04444673160593.720842316
0.123485946.12612059182292.129797726
0.133553261.27548502207098.658428197
0.143625953.69079385229047.884629741
0.153702847.3150238243857.483356779
0.163781683.82073573249754.524458953
0.173859968.96954508247591.728215041
0.183935695.52155234240139.474539633
0.194007758.32074454230882.518011281
0.24076016.04872956222950.743372051
0.214141081.97300146218368.383300357
0.224203987.21806764217833.022785423
0.234265851.18075512220973.048446197
0.244327643.0581435226789.050384714
0.254390059.64048264234160.710680258
0.264453500.38393528242068.973764788
0.274518100.0235439249733.016950586
0.284583779.60427947256520.412462948
0.294650290.98778567261892.423756123
0.34717248.20725996265340.092686213
0.314784153.48892254266406.459016381
0.324850431.61402735264791.80111682
0.334915482.78839972260447.16176219
0.344978754.08944189253679.429830661
0.355039817.89755495245168.799075938
0.365098437.82840025235888.384091492
0.375154602.13531381226951.680970518
0.385208511.74423894219265.578713503
0.395260522.23903568213411.674380217
0.45311051.72650844209443.786992495
0.415360475.41332562206917.480706925
0.425409030.64183934204974.654357767
0.435456753.00479683202553.257675889
0.445503456.49188256198642.222372358
0.455548760.54235351192447.540192254
0.465592156.57966492183573.017196272
0.475633098.19818008172072.288508566
0.485671094.57379903158414.135627085
0.495705787.16502245143363.154690014
0.55736995.37212037127847.074865995
0.515764725.90899609112718.407998652
0.525789150.3215165698673.9205655954
0.535810562.2631983286163.7997965217
0.545829328.7850455475399.5369017098
0.555845847.8274222566391.0379571515
0.565860518.877949959096.2845726681
0.575873727.8118352553393.5013811918
0.585885842.4284767949211.7225664401
0.595897213.2272577446493.4489778909
0.65908174.3606623145176.3418541352
0.615919041.4891823845169.7633966665
0.625930105.3705732146338.9758351441
0.635941621.8323124848503.6710598202
0.645953800.2282525951402.1573830525
0.655966793.6692816354763.7200009073
0.665980695.0290423958281.1825342095
0.675995542.2788564161728.4191176708
0.686011334.3890352164951.3308000371
0.696028054.9056392967926.078718378
0.76045695.7416886270753.291653385
0.716064271.0553912573608.1687897143
0.726083812.3971527976559.1762700575
0.736104341.9574337779556.6617533885
0.746125828.8552380182308.6688968938
0.756148140.738620984346.8769049885
0.766171006.7197526985103.0282065999
0.776194006.7720791984043.7981863062
0.786216597.7142862480821.9884927161
0.796238177.7730672175375.8792395606
0.86258181.2223745268004.3217431714
0.816276183.2256056359384.3128676048
0.826291986.5118910250440.3907213135
0.836305661.5657858242178.3148804877
0.846317524.4607227135427.2760058281
0.856328058.4478130630644.8293529089
0.866337806.3121054427826.581630756
0.876347268.3773409726564.5997664345
0.886356833.1763605326293.548977839
0.896366755.3822415726459.9024929471
0.96377193.0551849726692.8653481613
0.916388321.6143042626956.4393025353
0.926400539.7550309927763.9981479613
0.936414797.7519352130229.1718602801
0.946433188.0627394636150.339959625
0.956459940.3707642449131.5668715566
0.966501877.8794250873499.4206461029
0.976565227.2645113102023.667442917
0.986648338.59441041107857.924444114
0.996737718.0901695887828.8926175691

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2088758.08267105 & 353707.600407638 \tabularnewline
0.02 & 2390978.1205479 & 233011.930909609 \tabularnewline
0.03 & 2592246.74945991 & 202809.292126591 \tabularnewline
0.04 & 2743472.55109331 & 236824.237479618 \tabularnewline
0.05 & 2884221.62599023 & 259571.424137267 \tabularnewline
0.06 & 3016612.50548463 & 244527.286444325 \tabularnewline
0.07 & 3131130.1674757 & 207113.52910448 \tabularnewline
0.08 & 3223826.57149445 & 171326.88415326 \tabularnewline
0.09 & 3298534.27396831 & 150858.881026959 \tabularnewline
0.1 & 3362654.94497124 & 148312.958103994 \tabularnewline
0.11 & 3423374.04444673 & 160593.720842316 \tabularnewline
0.12 & 3485946.12612059 & 182292.129797726 \tabularnewline
0.13 & 3553261.27548502 & 207098.658428197 \tabularnewline
0.14 & 3625953.69079385 & 229047.884629741 \tabularnewline
0.15 & 3702847.3150238 & 243857.483356779 \tabularnewline
0.16 & 3781683.82073573 & 249754.524458953 \tabularnewline
0.17 & 3859968.96954508 & 247591.728215041 \tabularnewline
0.18 & 3935695.52155234 & 240139.474539633 \tabularnewline
0.19 & 4007758.32074454 & 230882.518011281 \tabularnewline
0.2 & 4076016.04872956 & 222950.743372051 \tabularnewline
0.21 & 4141081.97300146 & 218368.383300357 \tabularnewline
0.22 & 4203987.21806764 & 217833.022785423 \tabularnewline
0.23 & 4265851.18075512 & 220973.048446197 \tabularnewline
0.24 & 4327643.0581435 & 226789.050384714 \tabularnewline
0.25 & 4390059.64048264 & 234160.710680258 \tabularnewline
0.26 & 4453500.38393528 & 242068.973764788 \tabularnewline
0.27 & 4518100.0235439 & 249733.016950586 \tabularnewline
0.28 & 4583779.60427947 & 256520.412462948 \tabularnewline
0.29 & 4650290.98778567 & 261892.423756123 \tabularnewline
0.3 & 4717248.20725996 & 265340.092686213 \tabularnewline
0.31 & 4784153.48892254 & 266406.459016381 \tabularnewline
0.32 & 4850431.61402735 & 264791.80111682 \tabularnewline
0.33 & 4915482.78839972 & 260447.16176219 \tabularnewline
0.34 & 4978754.08944189 & 253679.429830661 \tabularnewline
0.35 & 5039817.89755495 & 245168.799075938 \tabularnewline
0.36 & 5098437.82840025 & 235888.384091492 \tabularnewline
0.37 & 5154602.13531381 & 226951.680970518 \tabularnewline
0.38 & 5208511.74423894 & 219265.578713503 \tabularnewline
0.39 & 5260522.23903568 & 213411.674380217 \tabularnewline
0.4 & 5311051.72650844 & 209443.786992495 \tabularnewline
0.41 & 5360475.41332562 & 206917.480706925 \tabularnewline
0.42 & 5409030.64183934 & 204974.654357767 \tabularnewline
0.43 & 5456753.00479683 & 202553.257675889 \tabularnewline
0.44 & 5503456.49188256 & 198642.222372358 \tabularnewline
0.45 & 5548760.54235351 & 192447.540192254 \tabularnewline
0.46 & 5592156.57966492 & 183573.017196272 \tabularnewline
0.47 & 5633098.19818008 & 172072.288508566 \tabularnewline
0.48 & 5671094.57379903 & 158414.135627085 \tabularnewline
0.49 & 5705787.16502245 & 143363.154690014 \tabularnewline
0.5 & 5736995.37212037 & 127847.074865995 \tabularnewline
0.51 & 5764725.90899609 & 112718.407998652 \tabularnewline
0.52 & 5789150.32151656 & 98673.9205655954 \tabularnewline
0.53 & 5810562.26319832 & 86163.7997965217 \tabularnewline
0.54 & 5829328.78504554 & 75399.5369017098 \tabularnewline
0.55 & 5845847.82742225 & 66391.0379571515 \tabularnewline
0.56 & 5860518.8779499 & 59096.2845726681 \tabularnewline
0.57 & 5873727.81183525 & 53393.5013811918 \tabularnewline
0.58 & 5885842.42847679 & 49211.7225664401 \tabularnewline
0.59 & 5897213.22725774 & 46493.4489778909 \tabularnewline
0.6 & 5908174.36066231 & 45176.3418541352 \tabularnewline
0.61 & 5919041.48918238 & 45169.7633966665 \tabularnewline
0.62 & 5930105.37057321 & 46338.9758351441 \tabularnewline
0.63 & 5941621.83231248 & 48503.6710598202 \tabularnewline
0.64 & 5953800.22825259 & 51402.1573830525 \tabularnewline
0.65 & 5966793.66928163 & 54763.7200009073 \tabularnewline
0.66 & 5980695.02904239 & 58281.1825342095 \tabularnewline
0.67 & 5995542.27885641 & 61728.4191176708 \tabularnewline
0.68 & 6011334.38903521 & 64951.3308000371 \tabularnewline
0.69 & 6028054.90563929 & 67926.078718378 \tabularnewline
0.7 & 6045695.74168862 & 70753.291653385 \tabularnewline
0.71 & 6064271.05539125 & 73608.1687897143 \tabularnewline
0.72 & 6083812.39715279 & 76559.1762700575 \tabularnewline
0.73 & 6104341.95743377 & 79556.6617533885 \tabularnewline
0.74 & 6125828.85523801 & 82308.6688968938 \tabularnewline
0.75 & 6148140.7386209 & 84346.8769049885 \tabularnewline
0.76 & 6171006.71975269 & 85103.0282065999 \tabularnewline
0.77 & 6194006.77207919 & 84043.7981863062 \tabularnewline
0.78 & 6216597.71428624 & 80821.9884927161 \tabularnewline
0.79 & 6238177.77306721 & 75375.8792395606 \tabularnewline
0.8 & 6258181.22237452 & 68004.3217431714 \tabularnewline
0.81 & 6276183.22560563 & 59384.3128676048 \tabularnewline
0.82 & 6291986.51189102 & 50440.3907213135 \tabularnewline
0.83 & 6305661.56578582 & 42178.3148804877 \tabularnewline
0.84 & 6317524.46072271 & 35427.2760058281 \tabularnewline
0.85 & 6328058.44781306 & 30644.8293529089 \tabularnewline
0.86 & 6337806.31210544 & 27826.581630756 \tabularnewline
0.87 & 6347268.37734097 & 26564.5997664345 \tabularnewline
0.88 & 6356833.17636053 & 26293.548977839 \tabularnewline
0.89 & 6366755.38224157 & 26459.9024929471 \tabularnewline
0.9 & 6377193.05518497 & 26692.8653481613 \tabularnewline
0.91 & 6388321.61430426 & 26956.4393025353 \tabularnewline
0.92 & 6400539.75503099 & 27763.9981479613 \tabularnewline
0.93 & 6414797.75193521 & 30229.1718602801 \tabularnewline
0.94 & 6433188.06273946 & 36150.339959625 \tabularnewline
0.95 & 6459940.37076424 & 49131.5668715566 \tabularnewline
0.96 & 6501877.87942508 & 73499.4206461029 \tabularnewline
0.97 & 6565227.2645113 & 102023.667442917 \tabularnewline
0.98 & 6648338.59441041 & 107857.924444114 \tabularnewline
0.99 & 6737718.09016958 & 87828.8926175691 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279850&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]2088758.08267105[/C][C]353707.600407638[/C][/ROW]
[ROW][C]0.02[/C][C]2390978.1205479[/C][C]233011.930909609[/C][/ROW]
[ROW][C]0.03[/C][C]2592246.74945991[/C][C]202809.292126591[/C][/ROW]
[ROW][C]0.04[/C][C]2743472.55109331[/C][C]236824.237479618[/C][/ROW]
[ROW][C]0.05[/C][C]2884221.62599023[/C][C]259571.424137267[/C][/ROW]
[ROW][C]0.06[/C][C]3016612.50548463[/C][C]244527.286444325[/C][/ROW]
[ROW][C]0.07[/C][C]3131130.1674757[/C][C]207113.52910448[/C][/ROW]
[ROW][C]0.08[/C][C]3223826.57149445[/C][C]171326.88415326[/C][/ROW]
[ROW][C]0.09[/C][C]3298534.27396831[/C][C]150858.881026959[/C][/ROW]
[ROW][C]0.1[/C][C]3362654.94497124[/C][C]148312.958103994[/C][/ROW]
[ROW][C]0.11[/C][C]3423374.04444673[/C][C]160593.720842316[/C][/ROW]
[ROW][C]0.12[/C][C]3485946.12612059[/C][C]182292.129797726[/C][/ROW]
[ROW][C]0.13[/C][C]3553261.27548502[/C][C]207098.658428197[/C][/ROW]
[ROW][C]0.14[/C][C]3625953.69079385[/C][C]229047.884629741[/C][/ROW]
[ROW][C]0.15[/C][C]3702847.3150238[/C][C]243857.483356779[/C][/ROW]
[ROW][C]0.16[/C][C]3781683.82073573[/C][C]249754.524458953[/C][/ROW]
[ROW][C]0.17[/C][C]3859968.96954508[/C][C]247591.728215041[/C][/ROW]
[ROW][C]0.18[/C][C]3935695.52155234[/C][C]240139.474539633[/C][/ROW]
[ROW][C]0.19[/C][C]4007758.32074454[/C][C]230882.518011281[/C][/ROW]
[ROW][C]0.2[/C][C]4076016.04872956[/C][C]222950.743372051[/C][/ROW]
[ROW][C]0.21[/C][C]4141081.97300146[/C][C]218368.383300357[/C][/ROW]
[ROW][C]0.22[/C][C]4203987.21806764[/C][C]217833.022785423[/C][/ROW]
[ROW][C]0.23[/C][C]4265851.18075512[/C][C]220973.048446197[/C][/ROW]
[ROW][C]0.24[/C][C]4327643.0581435[/C][C]226789.050384714[/C][/ROW]
[ROW][C]0.25[/C][C]4390059.64048264[/C][C]234160.710680258[/C][/ROW]
[ROW][C]0.26[/C][C]4453500.38393528[/C][C]242068.973764788[/C][/ROW]
[ROW][C]0.27[/C][C]4518100.0235439[/C][C]249733.016950586[/C][/ROW]
[ROW][C]0.28[/C][C]4583779.60427947[/C][C]256520.412462948[/C][/ROW]
[ROW][C]0.29[/C][C]4650290.98778567[/C][C]261892.423756123[/C][/ROW]
[ROW][C]0.3[/C][C]4717248.20725996[/C][C]265340.092686213[/C][/ROW]
[ROW][C]0.31[/C][C]4784153.48892254[/C][C]266406.459016381[/C][/ROW]
[ROW][C]0.32[/C][C]4850431.61402735[/C][C]264791.80111682[/C][/ROW]
[ROW][C]0.33[/C][C]4915482.78839972[/C][C]260447.16176219[/C][/ROW]
[ROW][C]0.34[/C][C]4978754.08944189[/C][C]253679.429830661[/C][/ROW]
[ROW][C]0.35[/C][C]5039817.89755495[/C][C]245168.799075938[/C][/ROW]
[ROW][C]0.36[/C][C]5098437.82840025[/C][C]235888.384091492[/C][/ROW]
[ROW][C]0.37[/C][C]5154602.13531381[/C][C]226951.680970518[/C][/ROW]
[ROW][C]0.38[/C][C]5208511.74423894[/C][C]219265.578713503[/C][/ROW]
[ROW][C]0.39[/C][C]5260522.23903568[/C][C]213411.674380217[/C][/ROW]
[ROW][C]0.4[/C][C]5311051.72650844[/C][C]209443.786992495[/C][/ROW]
[ROW][C]0.41[/C][C]5360475.41332562[/C][C]206917.480706925[/C][/ROW]
[ROW][C]0.42[/C][C]5409030.64183934[/C][C]204974.654357767[/C][/ROW]
[ROW][C]0.43[/C][C]5456753.00479683[/C][C]202553.257675889[/C][/ROW]
[ROW][C]0.44[/C][C]5503456.49188256[/C][C]198642.222372358[/C][/ROW]
[ROW][C]0.45[/C][C]5548760.54235351[/C][C]192447.540192254[/C][/ROW]
[ROW][C]0.46[/C][C]5592156.57966492[/C][C]183573.017196272[/C][/ROW]
[ROW][C]0.47[/C][C]5633098.19818008[/C][C]172072.288508566[/C][/ROW]
[ROW][C]0.48[/C][C]5671094.57379903[/C][C]158414.135627085[/C][/ROW]
[ROW][C]0.49[/C][C]5705787.16502245[/C][C]143363.154690014[/C][/ROW]
[ROW][C]0.5[/C][C]5736995.37212037[/C][C]127847.074865995[/C][/ROW]
[ROW][C]0.51[/C][C]5764725.90899609[/C][C]112718.407998652[/C][/ROW]
[ROW][C]0.52[/C][C]5789150.32151656[/C][C]98673.9205655954[/C][/ROW]
[ROW][C]0.53[/C][C]5810562.26319832[/C][C]86163.7997965217[/C][/ROW]
[ROW][C]0.54[/C][C]5829328.78504554[/C][C]75399.5369017098[/C][/ROW]
[ROW][C]0.55[/C][C]5845847.82742225[/C][C]66391.0379571515[/C][/ROW]
[ROW][C]0.56[/C][C]5860518.8779499[/C][C]59096.2845726681[/C][/ROW]
[ROW][C]0.57[/C][C]5873727.81183525[/C][C]53393.5013811918[/C][/ROW]
[ROW][C]0.58[/C][C]5885842.42847679[/C][C]49211.7225664401[/C][/ROW]
[ROW][C]0.59[/C][C]5897213.22725774[/C][C]46493.4489778909[/C][/ROW]
[ROW][C]0.6[/C][C]5908174.36066231[/C][C]45176.3418541352[/C][/ROW]
[ROW][C]0.61[/C][C]5919041.48918238[/C][C]45169.7633966665[/C][/ROW]
[ROW][C]0.62[/C][C]5930105.37057321[/C][C]46338.9758351441[/C][/ROW]
[ROW][C]0.63[/C][C]5941621.83231248[/C][C]48503.6710598202[/C][/ROW]
[ROW][C]0.64[/C][C]5953800.22825259[/C][C]51402.1573830525[/C][/ROW]
[ROW][C]0.65[/C][C]5966793.66928163[/C][C]54763.7200009073[/C][/ROW]
[ROW][C]0.66[/C][C]5980695.02904239[/C][C]58281.1825342095[/C][/ROW]
[ROW][C]0.67[/C][C]5995542.27885641[/C][C]61728.4191176708[/C][/ROW]
[ROW][C]0.68[/C][C]6011334.38903521[/C][C]64951.3308000371[/C][/ROW]
[ROW][C]0.69[/C][C]6028054.90563929[/C][C]67926.078718378[/C][/ROW]
[ROW][C]0.7[/C][C]6045695.74168862[/C][C]70753.291653385[/C][/ROW]
[ROW][C]0.71[/C][C]6064271.05539125[/C][C]73608.1687897143[/C][/ROW]
[ROW][C]0.72[/C][C]6083812.39715279[/C][C]76559.1762700575[/C][/ROW]
[ROW][C]0.73[/C][C]6104341.95743377[/C][C]79556.6617533885[/C][/ROW]
[ROW][C]0.74[/C][C]6125828.85523801[/C][C]82308.6688968938[/C][/ROW]
[ROW][C]0.75[/C][C]6148140.7386209[/C][C]84346.8769049885[/C][/ROW]
[ROW][C]0.76[/C][C]6171006.71975269[/C][C]85103.0282065999[/C][/ROW]
[ROW][C]0.77[/C][C]6194006.77207919[/C][C]84043.7981863062[/C][/ROW]
[ROW][C]0.78[/C][C]6216597.71428624[/C][C]80821.9884927161[/C][/ROW]
[ROW][C]0.79[/C][C]6238177.77306721[/C][C]75375.8792395606[/C][/ROW]
[ROW][C]0.8[/C][C]6258181.22237452[/C][C]68004.3217431714[/C][/ROW]
[ROW][C]0.81[/C][C]6276183.22560563[/C][C]59384.3128676048[/C][/ROW]
[ROW][C]0.82[/C][C]6291986.51189102[/C][C]50440.3907213135[/C][/ROW]
[ROW][C]0.83[/C][C]6305661.56578582[/C][C]42178.3148804877[/C][/ROW]
[ROW][C]0.84[/C][C]6317524.46072271[/C][C]35427.2760058281[/C][/ROW]
[ROW][C]0.85[/C][C]6328058.44781306[/C][C]30644.8293529089[/C][/ROW]
[ROW][C]0.86[/C][C]6337806.31210544[/C][C]27826.581630756[/C][/ROW]
[ROW][C]0.87[/C][C]6347268.37734097[/C][C]26564.5997664345[/C][/ROW]
[ROW][C]0.88[/C][C]6356833.17636053[/C][C]26293.548977839[/C][/ROW]
[ROW][C]0.89[/C][C]6366755.38224157[/C][C]26459.9024929471[/C][/ROW]
[ROW][C]0.9[/C][C]6377193.05518497[/C][C]26692.8653481613[/C][/ROW]
[ROW][C]0.91[/C][C]6388321.61430426[/C][C]26956.4393025353[/C][/ROW]
[ROW][C]0.92[/C][C]6400539.75503099[/C][C]27763.9981479613[/C][/ROW]
[ROW][C]0.93[/C][C]6414797.75193521[/C][C]30229.1718602801[/C][/ROW]
[ROW][C]0.94[/C][C]6433188.06273946[/C][C]36150.339959625[/C][/ROW]
[ROW][C]0.95[/C][C]6459940.37076424[/C][C]49131.5668715566[/C][/ROW]
[ROW][C]0.96[/C][C]6501877.87942508[/C][C]73499.4206461029[/C][/ROW]
[ROW][C]0.97[/C][C]6565227.2645113[/C][C]102023.667442917[/C][/ROW]
[ROW][C]0.98[/C][C]6648338.59441041[/C][C]107857.924444114[/C][/ROW]
[ROW][C]0.99[/C][C]6737718.09016958[/C][C]87828.8926175691[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279850&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279850&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
0.012088758.08267105353707.600407638
0.022390978.1205479233011.930909609
0.032592246.74945991202809.292126591
0.042743472.55109331236824.237479618
0.052884221.62599023259571.424137267
0.063016612.50548463244527.286444325
0.073131130.1674757207113.52910448
0.083223826.57149445171326.88415326
0.093298534.27396831150858.881026959
0.13362654.94497124148312.958103994
0.113423374.04444673160593.720842316
0.123485946.12612059182292.129797726
0.133553261.27548502207098.658428197
0.143625953.69079385229047.884629741
0.153702847.3150238243857.483356779
0.163781683.82073573249754.524458953
0.173859968.96954508247591.728215041
0.183935695.52155234240139.474539633
0.194007758.32074454230882.518011281
0.24076016.04872956222950.743372051
0.214141081.97300146218368.383300357
0.224203987.21806764217833.022785423
0.234265851.18075512220973.048446197
0.244327643.0581435226789.050384714
0.254390059.64048264234160.710680258
0.264453500.38393528242068.973764788
0.274518100.0235439249733.016950586
0.284583779.60427947256520.412462948
0.294650290.98778567261892.423756123
0.34717248.20725996265340.092686213
0.314784153.48892254266406.459016381
0.324850431.61402735264791.80111682
0.334915482.78839972260447.16176219
0.344978754.08944189253679.429830661
0.355039817.89755495245168.799075938
0.365098437.82840025235888.384091492
0.375154602.13531381226951.680970518
0.385208511.74423894219265.578713503
0.395260522.23903568213411.674380217
0.45311051.72650844209443.786992495
0.415360475.41332562206917.480706925
0.425409030.64183934204974.654357767
0.435456753.00479683202553.257675889
0.445503456.49188256198642.222372358
0.455548760.54235351192447.540192254
0.465592156.57966492183573.017196272
0.475633098.19818008172072.288508566
0.485671094.57379903158414.135627085
0.495705787.16502245143363.154690014
0.55736995.37212037127847.074865995
0.515764725.90899609112718.407998652
0.525789150.3215165698673.9205655954
0.535810562.2631983286163.7997965217
0.545829328.7850455475399.5369017098
0.555845847.8274222566391.0379571515
0.565860518.877949959096.2845726681
0.575873727.8118352553393.5013811918
0.585885842.4284767949211.7225664401
0.595897213.2272577446493.4489778909
0.65908174.3606623145176.3418541352
0.615919041.4891823845169.7633966665
0.625930105.3705732146338.9758351441
0.635941621.8323124848503.6710598202
0.645953800.2282525951402.1573830525
0.655966793.6692816354763.7200009073
0.665980695.0290423958281.1825342095
0.675995542.2788564161728.4191176708
0.686011334.3890352164951.3308000371
0.696028054.9056392967926.078718378
0.76045695.7416886270753.291653385
0.716064271.0553912573608.1687897143
0.726083812.3971527976559.1762700575
0.736104341.9574337779556.6617533885
0.746125828.8552380182308.6688968938
0.756148140.738620984346.8769049885
0.766171006.7197526985103.0282065999
0.776194006.7720791984043.7981863062
0.786216597.7142862480821.9884927161
0.796238177.7730672175375.8792395606
0.86258181.2223745268004.3217431714
0.816276183.2256056359384.3128676048
0.826291986.5118910250440.3907213135
0.836305661.5657858242178.3148804877
0.846317524.4607227135427.2760058281
0.856328058.4478130630644.8293529089
0.866337806.3121054427826.581630756
0.876347268.3773409726564.5997664345
0.886356833.1763605326293.548977839
0.896366755.3822415726459.9024929471
0.96377193.0551849726692.8653481613
0.916388321.6143042626956.4393025353
0.926400539.7550309927763.9981479613
0.936414797.7519352130229.1718602801
0.946433188.0627394636150.339959625
0.956459940.3707642449131.5668715566
0.966501877.8794250873499.4206461029
0.976565227.2645113102023.667442917
0.986648338.59441041107857.924444114
0.996737718.0901695887828.8926175691


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')