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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, 28 Jul 2010 19:08:18 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Jul/28/t128034410023gwtsjzi66z6w7.htm/, Retrieved Mon, 29 Apr 2024 11:15:25 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78154, Retrieved Mon, 29 Apr 2024 11:15:25 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsPatrick Fieremans
Estimated Impact220

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] [Tijdreeks 2 - Stap 7] [2010-07-28 19:08:18] [bffa0fb6afa860209dcefcd4361c2008] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
259
258
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255
253
252
253
255
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259
267
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249
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128
115
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105
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92
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91

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78154&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78154&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0167.50873558207193.45600069023976
0.0270.17028735735474.799486979324
0.0373.47630133428086.46475408141046
0.0477.10009297907877.63926140909261
0.0580.72816487159367.77602011252543
0.0684.02827612507476.91020391151682
0.0786.76353079991585.52301901272877
0.0888.87050252889624.16558100745087
0.0990.43778346237513.19757296593565
0.191.62733170687642.71918399741053
0.1192.599212559612.61674188484312
0.1293.47023463376222.69729509670628
0.1394.30598230706962.81567274819609
0.1495.1323323961022.90025553597552
0.1595.95302312565942.93735846304394
0.1696.76523371024722.95173949324466
0.1797.56997885202562.990146436115
0.1898.37701387261563.10421634139751
0.1999.20530297496283.33516989043776
0.2100.0805805944863.70336719356591
0.21101.0315372245754.20649497101323
0.22102.0858925751124.82666092677064
0.23103.2672177683745.53623268333697
0.24104.5929521800896.30478679215022
0.25106.0737167067637.10311020678146
0.26107.7137913988217.90617141208401
0.27109.5124910087588.69710190957734
0.28111.4661009422269.46877558190758
0.29113.56999653710610.2239919503304
0.3115.82055330018010.9754849256797
0.31118.21648285248811.7405055691899
0.32120.75932493248212.5364431933657
0.33123.45299914790413.3739646323891
0.34126.30254633463514.2526054727928
0.35129.31240967296015.1592284089489
0.36132.48474706770716.0712762969483
0.37135.81827125299816.9613475173635
0.38139.30796730034817.8047246322513
0.39142.94577593796018.5862542072329
0.4146.72203417323519.3033092400823
0.41150.62722460346119.9661121575443
0.42154.65347459207720.5921779945376
0.43158.79529575925221.2024033564555
0.44163.04924286551121.8087406544832
0.45167.41244162010822.4119892496498
0.46171.88021542088422.9953413944312
0.47176.44326824896923.5242085594590
0.48181.08501364658523.9502958821736
0.49185.77966041725724.2169670763712
0.5190.49157481069324.2672028215066
0.51195.1762484535924.0536329918833
0.52199.78293315693523.5465660819211
0.53204.25869323521722.7412453001778
0.54208.55332461613421.6624869210567
0.55212.62436180529820.3625807282552
0.56216.44130163407718.9161738525907
0.57219.98825810814117.4116306538317
0.58223.2645265698915.9369070915948
0.59226.28293023400314.5680483730184
0.6229.0662603074613.3569376993203
0.61231.64249811985612.3238578598287
0.62234.03973350900611.4574335682193
0.63236.28171762100210.7198411647772
0.64238.38481255397010.0589700293880
0.65240.3567759823999.42071739670108
0.66242.1974282569558.76209681391824
0.67243.9008817789468.0567510609338
0.68245.4587418455807.29931822666967
0.69246.8635590742026.50271283533374
0.7248.1118358057825.69355574135881
0.71249.2060415289014.9066894350292
0.72250.1553325168054.17793777193715
0.73250.9749450852713.53795200521588
0.74251.6844868237813.00704511908169
0.75252.3055412900252.59275913249854
0.76252.8590992842692.28806998946601
0.77253.3633225042092.07315426709415
0.78253.8320410710091.92035547196703
0.79254.2742110840451.80143433302895
0.8254.6943512998991.69351500396991
0.81255.0937829055661.58302098375939
0.82255.4723491267981.46575241908334
0.83255.8302104412971.3460716451881
0.84256.1692979448791.23397957628493
0.85256.4940626108061.14194345874356
0.86256.811303396841.08060521182096
0.87257.1291348967271.05368971929604
0.88257.4555785154631.05506285314392
0.89257.7977225510761.07122886850609
0.9258.1626166050431.09098243432686
0.91258.5606953616491.11704824297774
0.92259.0114150996071.17393122536901
0.93259.5491659784241.30299159894630
0.94260.2257227498681.53843721246231
0.95261.1033689165531.87863426008374
0.96262.2305492751132.25623341318714
0.97263.5936140830372.49589131849508
0.98265.0535170145722.31990075351818
0.99266.3113136189451.61974276504466

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 67.5087355820719 & 3.45600069023976 \tabularnewline
0.02 & 70.1702873573547 & 4.799486979324 \tabularnewline
0.03 & 73.4763013342808 & 6.46475408141046 \tabularnewline
0.04 & 77.1000929790787 & 7.63926140909261 \tabularnewline
0.05 & 80.7281648715936 & 7.77602011252543 \tabularnewline
0.06 & 84.0282761250747 & 6.91020391151682 \tabularnewline
0.07 & 86.7635307999158 & 5.52301901272877 \tabularnewline
0.08 & 88.8705025288962 & 4.16558100745087 \tabularnewline
0.09 & 90.4377834623751 & 3.19757296593565 \tabularnewline
0.1 & 91.6273317068764 & 2.71918399741053 \tabularnewline
0.11 & 92.59921255961 & 2.61674188484312 \tabularnewline
0.12 & 93.4702346337622 & 2.69729509670628 \tabularnewline
0.13 & 94.3059823070696 & 2.81567274819609 \tabularnewline
0.14 & 95.132332396102 & 2.90025553597552 \tabularnewline
0.15 & 95.9530231256594 & 2.93735846304394 \tabularnewline
0.16 & 96.7652337102472 & 2.95173949324466 \tabularnewline
0.17 & 97.5699788520256 & 2.990146436115 \tabularnewline
0.18 & 98.3770138726156 & 3.10421634139751 \tabularnewline
0.19 & 99.2053029749628 & 3.33516989043776 \tabularnewline
0.2 & 100.080580594486 & 3.70336719356591 \tabularnewline
0.21 & 101.031537224575 & 4.20649497101323 \tabularnewline
0.22 & 102.085892575112 & 4.82666092677064 \tabularnewline
0.23 & 103.267217768374 & 5.53623268333697 \tabularnewline
0.24 & 104.592952180089 & 6.30478679215022 \tabularnewline
0.25 & 106.073716706763 & 7.10311020678146 \tabularnewline
0.26 & 107.713791398821 & 7.90617141208401 \tabularnewline
0.27 & 109.512491008758 & 8.69710190957734 \tabularnewline
0.28 & 111.466100942226 & 9.46877558190758 \tabularnewline
0.29 & 113.569996537106 & 10.2239919503304 \tabularnewline
0.3 & 115.820553300180 & 10.9754849256797 \tabularnewline
0.31 & 118.216482852488 & 11.7405055691899 \tabularnewline
0.32 & 120.759324932482 & 12.5364431933657 \tabularnewline
0.33 & 123.452999147904 & 13.3739646323891 \tabularnewline
0.34 & 126.302546334635 & 14.2526054727928 \tabularnewline
0.35 & 129.312409672960 & 15.1592284089489 \tabularnewline
0.36 & 132.484747067707 & 16.0712762969483 \tabularnewline
0.37 & 135.818271252998 & 16.9613475173635 \tabularnewline
0.38 & 139.307967300348 & 17.8047246322513 \tabularnewline
0.39 & 142.945775937960 & 18.5862542072329 \tabularnewline
0.4 & 146.722034173235 & 19.3033092400823 \tabularnewline
0.41 & 150.627224603461 & 19.9661121575443 \tabularnewline
0.42 & 154.653474592077 & 20.5921779945376 \tabularnewline
0.43 & 158.795295759252 & 21.2024033564555 \tabularnewline
0.44 & 163.049242865511 & 21.8087406544832 \tabularnewline
0.45 & 167.412441620108 & 22.4119892496498 \tabularnewline
0.46 & 171.880215420884 & 22.9953413944312 \tabularnewline
0.47 & 176.443268248969 & 23.5242085594590 \tabularnewline
0.48 & 181.085013646585 & 23.9502958821736 \tabularnewline
0.49 & 185.779660417257 & 24.2169670763712 \tabularnewline
0.5 & 190.491574810693 & 24.2672028215066 \tabularnewline
0.51 & 195.17624845359 & 24.0536329918833 \tabularnewline
0.52 & 199.782933156935 & 23.5465660819211 \tabularnewline
0.53 & 204.258693235217 & 22.7412453001778 \tabularnewline
0.54 & 208.553324616134 & 21.6624869210567 \tabularnewline
0.55 & 212.624361805298 & 20.3625807282552 \tabularnewline
0.56 & 216.441301634077 & 18.9161738525907 \tabularnewline
0.57 & 219.988258108141 & 17.4116306538317 \tabularnewline
0.58 & 223.26452656989 & 15.9369070915948 \tabularnewline
0.59 & 226.282930234003 & 14.5680483730184 \tabularnewline
0.6 & 229.06626030746 & 13.3569376993203 \tabularnewline
0.61 & 231.642498119856 & 12.3238578598287 \tabularnewline
0.62 & 234.039733509006 & 11.4574335682193 \tabularnewline
0.63 & 236.281717621002 & 10.7198411647772 \tabularnewline
0.64 & 238.384812553970 & 10.0589700293880 \tabularnewline
0.65 & 240.356775982399 & 9.42071739670108 \tabularnewline
0.66 & 242.197428256955 & 8.76209681391824 \tabularnewline
0.67 & 243.900881778946 & 8.0567510609338 \tabularnewline
0.68 & 245.458741845580 & 7.29931822666967 \tabularnewline
0.69 & 246.863559074202 & 6.50271283533374 \tabularnewline
0.7 & 248.111835805782 & 5.69355574135881 \tabularnewline
0.71 & 249.206041528901 & 4.9066894350292 \tabularnewline
0.72 & 250.155332516805 & 4.17793777193715 \tabularnewline
0.73 & 250.974945085271 & 3.53795200521588 \tabularnewline
0.74 & 251.684486823781 & 3.00704511908169 \tabularnewline
0.75 & 252.305541290025 & 2.59275913249854 \tabularnewline
0.76 & 252.859099284269 & 2.28806998946601 \tabularnewline
0.77 & 253.363322504209 & 2.07315426709415 \tabularnewline
0.78 & 253.832041071009 & 1.92035547196703 \tabularnewline
0.79 & 254.274211084045 & 1.80143433302895 \tabularnewline
0.8 & 254.694351299899 & 1.69351500396991 \tabularnewline
0.81 & 255.093782905566 & 1.58302098375939 \tabularnewline
0.82 & 255.472349126798 & 1.46575241908334 \tabularnewline
0.83 & 255.830210441297 & 1.3460716451881 \tabularnewline
0.84 & 256.169297944879 & 1.23397957628493 \tabularnewline
0.85 & 256.494062610806 & 1.14194345874356 \tabularnewline
0.86 & 256.81130339684 & 1.08060521182096 \tabularnewline
0.87 & 257.129134896727 & 1.05368971929604 \tabularnewline
0.88 & 257.455578515463 & 1.05506285314392 \tabularnewline
0.89 & 257.797722551076 & 1.07122886850609 \tabularnewline
0.9 & 258.162616605043 & 1.09098243432686 \tabularnewline
0.91 & 258.560695361649 & 1.11704824297774 \tabularnewline
0.92 & 259.011415099607 & 1.17393122536901 \tabularnewline
0.93 & 259.549165978424 & 1.30299159894630 \tabularnewline
0.94 & 260.225722749868 & 1.53843721246231 \tabularnewline
0.95 & 261.103368916553 & 1.87863426008374 \tabularnewline
0.96 & 262.230549275113 & 2.25623341318714 \tabularnewline
0.97 & 263.593614083037 & 2.49589131849508 \tabularnewline
0.98 & 265.053517014572 & 2.31990075351818 \tabularnewline
0.99 & 266.311313618945 & 1.61974276504466 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78154&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]67.5087355820719[/C][C]3.45600069023976[/C][/ROW]
[ROW][C]0.02[/C][C]70.1702873573547[/C][C]4.799486979324[/C][/ROW]
[ROW][C]0.03[/C][C]73.4763013342808[/C][C]6.46475408141046[/C][/ROW]
[ROW][C]0.04[/C][C]77.1000929790787[/C][C]7.63926140909261[/C][/ROW]
[ROW][C]0.05[/C][C]80.7281648715936[/C][C]7.77602011252543[/C][/ROW]
[ROW][C]0.06[/C][C]84.0282761250747[/C][C]6.91020391151682[/C][/ROW]
[ROW][C]0.07[/C][C]86.7635307999158[/C][C]5.52301901272877[/C][/ROW]
[ROW][C]0.08[/C][C]88.8705025288962[/C][C]4.16558100745087[/C][/ROW]
[ROW][C]0.09[/C][C]90.4377834623751[/C][C]3.19757296593565[/C][/ROW]
[ROW][C]0.1[/C][C]91.6273317068764[/C][C]2.71918399741053[/C][/ROW]
[ROW][C]0.11[/C][C]92.59921255961[/C][C]2.61674188484312[/C][/ROW]
[ROW][C]0.12[/C][C]93.4702346337622[/C][C]2.69729509670628[/C][/ROW]
[ROW][C]0.13[/C][C]94.3059823070696[/C][C]2.81567274819609[/C][/ROW]
[ROW][C]0.14[/C][C]95.132332396102[/C][C]2.90025553597552[/C][/ROW]
[ROW][C]0.15[/C][C]95.9530231256594[/C][C]2.93735846304394[/C][/ROW]
[ROW][C]0.16[/C][C]96.7652337102472[/C][C]2.95173949324466[/C][/ROW]
[ROW][C]0.17[/C][C]97.5699788520256[/C][C]2.990146436115[/C][/ROW]
[ROW][C]0.18[/C][C]98.3770138726156[/C][C]3.10421634139751[/C][/ROW]
[ROW][C]0.19[/C][C]99.2053029749628[/C][C]3.33516989043776[/C][/ROW]
[ROW][C]0.2[/C][C]100.080580594486[/C][C]3.70336719356591[/C][/ROW]
[ROW][C]0.21[/C][C]101.031537224575[/C][C]4.20649497101323[/C][/ROW]
[ROW][C]0.22[/C][C]102.085892575112[/C][C]4.82666092677064[/C][/ROW]
[ROW][C]0.23[/C][C]103.267217768374[/C][C]5.53623268333697[/C][/ROW]
[ROW][C]0.24[/C][C]104.592952180089[/C][C]6.30478679215022[/C][/ROW]
[ROW][C]0.25[/C][C]106.073716706763[/C][C]7.10311020678146[/C][/ROW]
[ROW][C]0.26[/C][C]107.713791398821[/C][C]7.90617141208401[/C][/ROW]
[ROW][C]0.27[/C][C]109.512491008758[/C][C]8.69710190957734[/C][/ROW]
[ROW][C]0.28[/C][C]111.466100942226[/C][C]9.46877558190758[/C][/ROW]
[ROW][C]0.29[/C][C]113.569996537106[/C][C]10.2239919503304[/C][/ROW]
[ROW][C]0.3[/C][C]115.820553300180[/C][C]10.9754849256797[/C][/ROW]
[ROW][C]0.31[/C][C]118.216482852488[/C][C]11.7405055691899[/C][/ROW]
[ROW][C]0.32[/C][C]120.759324932482[/C][C]12.5364431933657[/C][/ROW]
[ROW][C]0.33[/C][C]123.452999147904[/C][C]13.3739646323891[/C][/ROW]
[ROW][C]0.34[/C][C]126.302546334635[/C][C]14.2526054727928[/C][/ROW]
[ROW][C]0.35[/C][C]129.312409672960[/C][C]15.1592284089489[/C][/ROW]
[ROW][C]0.36[/C][C]132.484747067707[/C][C]16.0712762969483[/C][/ROW]
[ROW][C]0.37[/C][C]135.818271252998[/C][C]16.9613475173635[/C][/ROW]
[ROW][C]0.38[/C][C]139.307967300348[/C][C]17.8047246322513[/C][/ROW]
[ROW][C]0.39[/C][C]142.945775937960[/C][C]18.5862542072329[/C][/ROW]
[ROW][C]0.4[/C][C]146.722034173235[/C][C]19.3033092400823[/C][/ROW]
[ROW][C]0.41[/C][C]150.627224603461[/C][C]19.9661121575443[/C][/ROW]
[ROW][C]0.42[/C][C]154.653474592077[/C][C]20.5921779945376[/C][/ROW]
[ROW][C]0.43[/C][C]158.795295759252[/C][C]21.2024033564555[/C][/ROW]
[ROW][C]0.44[/C][C]163.049242865511[/C][C]21.8087406544832[/C][/ROW]
[ROW][C]0.45[/C][C]167.412441620108[/C][C]22.4119892496498[/C][/ROW]
[ROW][C]0.46[/C][C]171.880215420884[/C][C]22.9953413944312[/C][/ROW]
[ROW][C]0.47[/C][C]176.443268248969[/C][C]23.5242085594590[/C][/ROW]
[ROW][C]0.48[/C][C]181.085013646585[/C][C]23.9502958821736[/C][/ROW]
[ROW][C]0.49[/C][C]185.779660417257[/C][C]24.2169670763712[/C][/ROW]
[ROW][C]0.5[/C][C]190.491574810693[/C][C]24.2672028215066[/C][/ROW]
[ROW][C]0.51[/C][C]195.17624845359[/C][C]24.0536329918833[/C][/ROW]
[ROW][C]0.52[/C][C]199.782933156935[/C][C]23.5465660819211[/C][/ROW]
[ROW][C]0.53[/C][C]204.258693235217[/C][C]22.7412453001778[/C][/ROW]
[ROW][C]0.54[/C][C]208.553324616134[/C][C]21.6624869210567[/C][/ROW]
[ROW][C]0.55[/C][C]212.624361805298[/C][C]20.3625807282552[/C][/ROW]
[ROW][C]0.56[/C][C]216.441301634077[/C][C]18.9161738525907[/C][/ROW]
[ROW][C]0.57[/C][C]219.988258108141[/C][C]17.4116306538317[/C][/ROW]
[ROW][C]0.58[/C][C]223.26452656989[/C][C]15.9369070915948[/C][/ROW]
[ROW][C]0.59[/C][C]226.282930234003[/C][C]14.5680483730184[/C][/ROW]
[ROW][C]0.6[/C][C]229.06626030746[/C][C]13.3569376993203[/C][/ROW]
[ROW][C]0.61[/C][C]231.642498119856[/C][C]12.3238578598287[/C][/ROW]
[ROW][C]0.62[/C][C]234.039733509006[/C][C]11.4574335682193[/C][/ROW]
[ROW][C]0.63[/C][C]236.281717621002[/C][C]10.7198411647772[/C][/ROW]
[ROW][C]0.64[/C][C]238.384812553970[/C][C]10.0589700293880[/C][/ROW]
[ROW][C]0.65[/C][C]240.356775982399[/C][C]9.42071739670108[/C][/ROW]
[ROW][C]0.66[/C][C]242.197428256955[/C][C]8.76209681391824[/C][/ROW]
[ROW][C]0.67[/C][C]243.900881778946[/C][C]8.0567510609338[/C][/ROW]
[ROW][C]0.68[/C][C]245.458741845580[/C][C]7.29931822666967[/C][/ROW]
[ROW][C]0.69[/C][C]246.863559074202[/C][C]6.50271283533374[/C][/ROW]
[ROW][C]0.7[/C][C]248.111835805782[/C][C]5.69355574135881[/C][/ROW]
[ROW][C]0.71[/C][C]249.206041528901[/C][C]4.9066894350292[/C][/ROW]
[ROW][C]0.72[/C][C]250.155332516805[/C][C]4.17793777193715[/C][/ROW]
[ROW][C]0.73[/C][C]250.974945085271[/C][C]3.53795200521588[/C][/ROW]
[ROW][C]0.74[/C][C]251.684486823781[/C][C]3.00704511908169[/C][/ROW]
[ROW][C]0.75[/C][C]252.305541290025[/C][C]2.59275913249854[/C][/ROW]
[ROW][C]0.76[/C][C]252.859099284269[/C][C]2.28806998946601[/C][/ROW]
[ROW][C]0.77[/C][C]253.363322504209[/C][C]2.07315426709415[/C][/ROW]
[ROW][C]0.78[/C][C]253.832041071009[/C][C]1.92035547196703[/C][/ROW]
[ROW][C]0.79[/C][C]254.274211084045[/C][C]1.80143433302895[/C][/ROW]
[ROW][C]0.8[/C][C]254.694351299899[/C][C]1.69351500396991[/C][/ROW]
[ROW][C]0.81[/C][C]255.093782905566[/C][C]1.58302098375939[/C][/ROW]
[ROW][C]0.82[/C][C]255.472349126798[/C][C]1.46575241908334[/C][/ROW]
[ROW][C]0.83[/C][C]255.830210441297[/C][C]1.3460716451881[/C][/ROW]
[ROW][C]0.84[/C][C]256.169297944879[/C][C]1.23397957628493[/C][/ROW]
[ROW][C]0.85[/C][C]256.494062610806[/C][C]1.14194345874356[/C][/ROW]
[ROW][C]0.86[/C][C]256.81130339684[/C][C]1.08060521182096[/C][/ROW]
[ROW][C]0.87[/C][C]257.129134896727[/C][C]1.05368971929604[/C][/ROW]
[ROW][C]0.88[/C][C]257.455578515463[/C][C]1.05506285314392[/C][/ROW]
[ROW][C]0.89[/C][C]257.797722551076[/C][C]1.07122886850609[/C][/ROW]
[ROW][C]0.9[/C][C]258.162616605043[/C][C]1.09098243432686[/C][/ROW]
[ROW][C]0.91[/C][C]258.560695361649[/C][C]1.11704824297774[/C][/ROW]
[ROW][C]0.92[/C][C]259.011415099607[/C][C]1.17393122536901[/C][/ROW]
[ROW][C]0.93[/C][C]259.549165978424[/C][C]1.30299159894630[/C][/ROW]
[ROW][C]0.94[/C][C]260.225722749868[/C][C]1.53843721246231[/C][/ROW]
[ROW][C]0.95[/C][C]261.103368916553[/C][C]1.87863426008374[/C][/ROW]
[ROW][C]0.96[/C][C]262.230549275113[/C][C]2.25623341318714[/C][/ROW]
[ROW][C]0.97[/C][C]263.593614083037[/C][C]2.49589131849508[/C][/ROW]
[ROW][C]0.98[/C][C]265.053517014572[/C][C]2.31990075351818[/C][/ROW]
[ROW][C]0.99[/C][C]266.311313618945[/C][C]1.61974276504466[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78154&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
0.0167.50873558207193.45600069023976
0.0270.17028735735474.799486979324
0.0373.47630133428086.46475408141046
0.0477.10009297907877.63926140909261
0.0580.72816487159367.77602011252543
0.0684.02827612507476.91020391151682
0.0786.76353079991585.52301901272877
0.0888.87050252889624.16558100745087
0.0990.43778346237513.19757296593565
0.191.62733170687642.71918399741053
0.1192.599212559612.61674188484312
0.1293.47023463376222.69729509670628
0.1394.30598230706962.81567274819609
0.1495.1323323961022.90025553597552
0.1595.95302312565942.93735846304394
0.1696.76523371024722.95173949324466
0.1797.56997885202562.990146436115
0.1898.37701387261563.10421634139751
0.1999.20530297496283.33516989043776
0.2100.0805805944863.70336719356591
0.21101.0315372245754.20649497101323
0.22102.0858925751124.82666092677064
0.23103.2672177683745.53623268333697
0.24104.5929521800896.30478679215022
0.25106.0737167067637.10311020678146
0.26107.7137913988217.90617141208401
0.27109.5124910087588.69710190957734
0.28111.4661009422269.46877558190758
0.29113.56999653710610.2239919503304
0.3115.82055330018010.9754849256797
0.31118.21648285248811.7405055691899
0.32120.75932493248212.5364431933657
0.33123.45299914790413.3739646323891
0.34126.30254633463514.2526054727928
0.35129.31240967296015.1592284089489
0.36132.48474706770716.0712762969483
0.37135.81827125299816.9613475173635
0.38139.30796730034817.8047246322513
0.39142.94577593796018.5862542072329
0.4146.72203417323519.3033092400823
0.41150.62722460346119.9661121575443
0.42154.65347459207720.5921779945376
0.43158.79529575925221.2024033564555
0.44163.04924286551121.8087406544832
0.45167.41244162010822.4119892496498
0.46171.88021542088422.9953413944312
0.47176.44326824896923.5242085594590
0.48181.08501364658523.9502958821736
0.49185.77966041725724.2169670763712
0.5190.49157481069324.2672028215066
0.51195.1762484535924.0536329918833
0.52199.78293315693523.5465660819211
0.53204.25869323521722.7412453001778
0.54208.55332461613421.6624869210567
0.55212.62436180529820.3625807282552
0.56216.44130163407718.9161738525907
0.57219.98825810814117.4116306538317
0.58223.2645265698915.9369070915948
0.59226.28293023400314.5680483730184
0.6229.0662603074613.3569376993203
0.61231.64249811985612.3238578598287
0.62234.03973350900611.4574335682193
0.63236.28171762100210.7198411647772
0.64238.38481255397010.0589700293880
0.65240.3567759823999.42071739670108
0.66242.1974282569558.76209681391824
0.67243.9008817789468.0567510609338
0.68245.4587418455807.29931822666967
0.69246.8635590742026.50271283533374
0.7248.1118358057825.69355574135881
0.71249.2060415289014.9066894350292
0.72250.1553325168054.17793777193715
0.73250.9749450852713.53795200521588
0.74251.6844868237813.00704511908169
0.75252.3055412900252.59275913249854
0.76252.8590992842692.28806998946601
0.77253.3633225042092.07315426709415
0.78253.8320410710091.92035547196703
0.79254.2742110840451.80143433302895
0.8254.6943512998991.69351500396991
0.81255.0937829055661.58302098375939
0.82255.4723491267981.46575241908334
0.83255.8302104412971.3460716451881
0.84256.1692979448791.23397957628493
0.85256.4940626108061.14194345874356
0.86256.811303396841.08060521182096
0.87257.1291348967271.05368971929604
0.88257.4555785154631.05506285314392
0.89257.7977225510761.07122886850609
0.9258.1626166050431.09098243432686
0.91258.5606953616491.11704824297774
0.92259.0114150996071.17393122536901
0.93259.5491659784241.30299159894630
0.94260.2257227498681.53843721246231
0.95261.1033689165531.87863426008374
0.96262.2305492751132.25623341318714
0.97263.5936140830372.49589131849508
0.98265.0535170145722.31990075351818
0.99266.3113136189451.61974276504466


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')