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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 15 Oct 2012 10:53:36 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/15/t1350312829gkdzpqf1gz34b1k.htm/, Retrieved Tue, 07 May 2024 06:03:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=177177, Retrieved Tue, 07 May 2024 06:03:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact83
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-10-15 14:53:36] [595720b70ea55335b8ff0acbeccfc0bf] [Current]
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Dataseries X:
32.98
32.7
32.74
32.87
32.95
32.94
32.94
32.97
32.87
32.96
32.97
32.99
32.99
33.04
33.23
33.03
33.05
33.03
33.04
33.11
33.14
33.08
33.09
33.07
33.07
33.02
33
33.08
33.35
33.36
33.36
33.35
33.41
33.47
33.47
33.48
33.48
33.55
33.68
33.72
33.79
33.83
33.83
33.84
33.91
34.06
34.16
34.16
34.16
34.29
34.48
34.48
34.39
34.29
34.29
34.25
34.2
34.1
34.09
34.06
34.06
34.04
34.19
34.21
34.17
34.08
34.08
34.08
34.3
34.28
34.45
34.41




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177177&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 Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177177&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177177&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0132.7207794876670.0569823730985556
0.0232.75702997216870.0753311183268389
0.0332.79878863659410.0787596534422314
0.0432.83789017342980.0702795014703447
0.0532.8704751880630.0584366415796317
0.0632.89600836842390.0477849396105389
0.0732.91553614346230.0391305513316065
0.0832.93047135617670.0322221481178831
0.0932.94207413140890.0269916894642467
0.132.95134306709520.0234240461304887
0.1132.95904347171380.0213970992594947
0.1232.96574974872950.0205382098505943
0.1332.97187869344680.0205330892249717
0.1432.97771869769060.0210778051014373
0.1532.98345741499450.0219661640364114
0.1632.98920629030620.0229787092562027
0.1732.99502083445250.0240214102223462
0.1833.00091752420220.0249672741022894
0.1933.00688902216250.025751568380304
0.233.01291880032310.0263824416134901
0.2133.01899515955580.0269549914584192
0.2233.02512388730310.0275936456238887
0.2333.03133864714030.0284556678744401
0.2433.0377084622330.0297947910191302
0.2533.04434199255650.0318919612843969
0.2633.05138844409230.0348810719460683
0.2733.05903482651780.0390379317145144
0.2833.06749904886340.0445184653398479
0.2933.07701828455770.0513705050597708
0.333.0878323939470.0596723300171242
0.3133.10016304555810.0690706697511242
0.3233.11419037969560.0793664532032125
0.3333.13003026402680.0900421199514201
0.3433.14771597199110.100667826454629
0.3533.1671881131940.11054465437947
0.3633.18829570792730.119235464881069
0.3733.21080954527360.126343192711107
0.3833.23444676296370.131646305006864
0.3933.25890344556970.135117219515048
0.433.28389045630520.136932256525394
0.4133.30916704949220.137554730774161
0.4233.3345671747680.137504669461647
0.4333.36001465655140.137344443557408
0.4433.3855253067470.137632001439769
0.4533.41119611560020.138869331655534
0.4633.43718359153090.141359930728519
0.4733.46367479665560.145117109905365
0.4833.49085547269540.149999353001861
0.4933.51887979997870.155664310805678
0.533.54784579724560.161666192146452
0.5133.57777924758870.167436601473946
0.5233.60862750067250.172521047108871
0.5333.64026280645060.176489033467537
0.5433.67249329294860.179083921941134
0.5533.7050786292750.180048598615729
0.5633.73774706070690.179387519648196
0.5733.77021095332080.177068609400215
0.5833.80217911686870.173211290453466
0.5933.8333656573930.167869941806529
0.633.86349649196330.161156746624501
0.6133.89231549400940.153157461083639
0.6233.91959224349830.14398266018969
0.6333.94513250899420.13378068281898
0.6433.96879115109440.122853214676891
0.6533.99048558285240.111483406314812
0.6634.01020678974040.100123250477774
0.6734.02802462634810.089255806452751
0.6834.0440848456340.0792742626530725
0.6934.05859694295160.0706021358410356
0.734.07181399694180.0635396296473476
0.7134.08400768705730.0580579950248228
0.7234.09544298781090.0541634410199745
0.7334.10635726861070.0515097015974545
0.7434.11694752933410.0497821040505283
0.7534.12736746503510.0486760415725716
0.7634.13773346070950.047915479499181
0.7734.14813614126630.0473731632827085
0.7834.15865245551810.0470762980745525
0.7934.16935304471570.047051792486246
0.834.18030115081230.0472801131585088
0.8134.19154248106480.0477733000428651
0.8234.20308971360680.0482762870605324
0.8334.21490963238330.048603807879254
0.8434.22692364913120.0483684832237809
0.8534.23903181937550.0474072192123961
0.8634.25116469231670.0457568163448575
0.8734.26335591541080.04380756074762
0.8834.27581344251950.0423531288342059
0.8934.28895418637120.0424390462374996
0.934.30336506552280.0448259239986424
0.9134.31967126454720.0494424182882754
0.9234.33833067244990.0549928333869233
0.9334.35941617327230.0595673221263013
0.9434.38246390978980.0612722413505995
0.9534.40643162061390.058913230132989
0.9634.42974884702160.0522161559818899
0.9734.45043749550910.0414049292295423
0.9834.46641170118710.0270361831376094
0.9934.47619570215210.0113370065373393

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 32.720779487667 & 0.0569823730985556 \tabularnewline
0.02 & 32.7570299721687 & 0.0753311183268389 \tabularnewline
0.03 & 32.7987886365941 & 0.0787596534422314 \tabularnewline
0.04 & 32.8378901734298 & 0.0702795014703447 \tabularnewline
0.05 & 32.870475188063 & 0.0584366415796317 \tabularnewline
0.06 & 32.8960083684239 & 0.0477849396105389 \tabularnewline
0.07 & 32.9155361434623 & 0.0391305513316065 \tabularnewline
0.08 & 32.9304713561767 & 0.0322221481178831 \tabularnewline
0.09 & 32.9420741314089 & 0.0269916894642467 \tabularnewline
0.1 & 32.9513430670952 & 0.0234240461304887 \tabularnewline
0.11 & 32.9590434717138 & 0.0213970992594947 \tabularnewline
0.12 & 32.9657497487295 & 0.0205382098505943 \tabularnewline
0.13 & 32.9718786934468 & 0.0205330892249717 \tabularnewline
0.14 & 32.9777186976906 & 0.0210778051014373 \tabularnewline
0.15 & 32.9834574149945 & 0.0219661640364114 \tabularnewline
0.16 & 32.9892062903062 & 0.0229787092562027 \tabularnewline
0.17 & 32.9950208344525 & 0.0240214102223462 \tabularnewline
0.18 & 33.0009175242022 & 0.0249672741022894 \tabularnewline
0.19 & 33.0068890221625 & 0.025751568380304 \tabularnewline
0.2 & 33.0129188003231 & 0.0263824416134901 \tabularnewline
0.21 & 33.0189951595558 & 0.0269549914584192 \tabularnewline
0.22 & 33.0251238873031 & 0.0275936456238887 \tabularnewline
0.23 & 33.0313386471403 & 0.0284556678744401 \tabularnewline
0.24 & 33.037708462233 & 0.0297947910191302 \tabularnewline
0.25 & 33.0443419925565 & 0.0318919612843969 \tabularnewline
0.26 & 33.0513884440923 & 0.0348810719460683 \tabularnewline
0.27 & 33.0590348265178 & 0.0390379317145144 \tabularnewline
0.28 & 33.0674990488634 & 0.0445184653398479 \tabularnewline
0.29 & 33.0770182845577 & 0.0513705050597708 \tabularnewline
0.3 & 33.087832393947 & 0.0596723300171242 \tabularnewline
0.31 & 33.1001630455581 & 0.0690706697511242 \tabularnewline
0.32 & 33.1141903796956 & 0.0793664532032125 \tabularnewline
0.33 & 33.1300302640268 & 0.0900421199514201 \tabularnewline
0.34 & 33.1477159719911 & 0.100667826454629 \tabularnewline
0.35 & 33.167188113194 & 0.11054465437947 \tabularnewline
0.36 & 33.1882957079273 & 0.119235464881069 \tabularnewline
0.37 & 33.2108095452736 & 0.126343192711107 \tabularnewline
0.38 & 33.2344467629637 & 0.131646305006864 \tabularnewline
0.39 & 33.2589034455697 & 0.135117219515048 \tabularnewline
0.4 & 33.2838904563052 & 0.136932256525394 \tabularnewline
0.41 & 33.3091670494922 & 0.137554730774161 \tabularnewline
0.42 & 33.334567174768 & 0.137504669461647 \tabularnewline
0.43 & 33.3600146565514 & 0.137344443557408 \tabularnewline
0.44 & 33.385525306747 & 0.137632001439769 \tabularnewline
0.45 & 33.4111961156002 & 0.138869331655534 \tabularnewline
0.46 & 33.4371835915309 & 0.141359930728519 \tabularnewline
0.47 & 33.4636747966556 & 0.145117109905365 \tabularnewline
0.48 & 33.4908554726954 & 0.149999353001861 \tabularnewline
0.49 & 33.5188797999787 & 0.155664310805678 \tabularnewline
0.5 & 33.5478457972456 & 0.161666192146452 \tabularnewline
0.51 & 33.5777792475887 & 0.167436601473946 \tabularnewline
0.52 & 33.6086275006725 & 0.172521047108871 \tabularnewline
0.53 & 33.6402628064506 & 0.176489033467537 \tabularnewline
0.54 & 33.6724932929486 & 0.179083921941134 \tabularnewline
0.55 & 33.705078629275 & 0.180048598615729 \tabularnewline
0.56 & 33.7377470607069 & 0.179387519648196 \tabularnewline
0.57 & 33.7702109533208 & 0.177068609400215 \tabularnewline
0.58 & 33.8021791168687 & 0.173211290453466 \tabularnewline
0.59 & 33.833365657393 & 0.167869941806529 \tabularnewline
0.6 & 33.8634964919633 & 0.161156746624501 \tabularnewline
0.61 & 33.8923154940094 & 0.153157461083639 \tabularnewline
0.62 & 33.9195922434983 & 0.14398266018969 \tabularnewline
0.63 & 33.9451325089942 & 0.13378068281898 \tabularnewline
0.64 & 33.9687911510944 & 0.122853214676891 \tabularnewline
0.65 & 33.9904855828524 & 0.111483406314812 \tabularnewline
0.66 & 34.0102067897404 & 0.100123250477774 \tabularnewline
0.67 & 34.0280246263481 & 0.089255806452751 \tabularnewline
0.68 & 34.044084845634 & 0.0792742626530725 \tabularnewline
0.69 & 34.0585969429516 & 0.0706021358410356 \tabularnewline
0.7 & 34.0718139969418 & 0.0635396296473476 \tabularnewline
0.71 & 34.0840076870573 & 0.0580579950248228 \tabularnewline
0.72 & 34.0954429878109 & 0.0541634410199745 \tabularnewline
0.73 & 34.1063572686107 & 0.0515097015974545 \tabularnewline
0.74 & 34.1169475293341 & 0.0497821040505283 \tabularnewline
0.75 & 34.1273674650351 & 0.0486760415725716 \tabularnewline
0.76 & 34.1377334607095 & 0.047915479499181 \tabularnewline
0.77 & 34.1481361412663 & 0.0473731632827085 \tabularnewline
0.78 & 34.1586524555181 & 0.0470762980745525 \tabularnewline
0.79 & 34.1693530447157 & 0.047051792486246 \tabularnewline
0.8 & 34.1803011508123 & 0.0472801131585088 \tabularnewline
0.81 & 34.1915424810648 & 0.0477733000428651 \tabularnewline
0.82 & 34.2030897136068 & 0.0482762870605324 \tabularnewline
0.83 & 34.2149096323833 & 0.048603807879254 \tabularnewline
0.84 & 34.2269236491312 & 0.0483684832237809 \tabularnewline
0.85 & 34.2390318193755 & 0.0474072192123961 \tabularnewline
0.86 & 34.2511646923167 & 0.0457568163448575 \tabularnewline
0.87 & 34.2633559154108 & 0.04380756074762 \tabularnewline
0.88 & 34.2758134425195 & 0.0423531288342059 \tabularnewline
0.89 & 34.2889541863712 & 0.0424390462374996 \tabularnewline
0.9 & 34.3033650655228 & 0.0448259239986424 \tabularnewline
0.91 & 34.3196712645472 & 0.0494424182882754 \tabularnewline
0.92 & 34.3383306724499 & 0.0549928333869233 \tabularnewline
0.93 & 34.3594161732723 & 0.0595673221263013 \tabularnewline
0.94 & 34.3824639097898 & 0.0612722413505995 \tabularnewline
0.95 & 34.4064316206139 & 0.058913230132989 \tabularnewline
0.96 & 34.4297488470216 & 0.0522161559818899 \tabularnewline
0.97 & 34.4504374955091 & 0.0414049292295423 \tabularnewline
0.98 & 34.4664117011871 & 0.0270361831376094 \tabularnewline
0.99 & 34.4761957021521 & 0.0113370065373393 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=177177&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]32.720779487667[/C][C]0.0569823730985556[/C][/ROW]
[ROW][C]0.02[/C][C]32.7570299721687[/C][C]0.0753311183268389[/C][/ROW]
[ROW][C]0.03[/C][C]32.7987886365941[/C][C]0.0787596534422314[/C][/ROW]
[ROW][C]0.04[/C][C]32.8378901734298[/C][C]0.0702795014703447[/C][/ROW]
[ROW][C]0.05[/C][C]32.870475188063[/C][C]0.0584366415796317[/C][/ROW]
[ROW][C]0.06[/C][C]32.8960083684239[/C][C]0.0477849396105389[/C][/ROW]
[ROW][C]0.07[/C][C]32.9155361434623[/C][C]0.0391305513316065[/C][/ROW]
[ROW][C]0.08[/C][C]32.9304713561767[/C][C]0.0322221481178831[/C][/ROW]
[ROW][C]0.09[/C][C]32.9420741314089[/C][C]0.0269916894642467[/C][/ROW]
[ROW][C]0.1[/C][C]32.9513430670952[/C][C]0.0234240461304887[/C][/ROW]
[ROW][C]0.11[/C][C]32.9590434717138[/C][C]0.0213970992594947[/C][/ROW]
[ROW][C]0.12[/C][C]32.9657497487295[/C][C]0.0205382098505943[/C][/ROW]
[ROW][C]0.13[/C][C]32.9718786934468[/C][C]0.0205330892249717[/C][/ROW]
[ROW][C]0.14[/C][C]32.9777186976906[/C][C]0.0210778051014373[/C][/ROW]
[ROW][C]0.15[/C][C]32.9834574149945[/C][C]0.0219661640364114[/C][/ROW]
[ROW][C]0.16[/C][C]32.9892062903062[/C][C]0.0229787092562027[/C][/ROW]
[ROW][C]0.17[/C][C]32.9950208344525[/C][C]0.0240214102223462[/C][/ROW]
[ROW][C]0.18[/C][C]33.0009175242022[/C][C]0.0249672741022894[/C][/ROW]
[ROW][C]0.19[/C][C]33.0068890221625[/C][C]0.025751568380304[/C][/ROW]
[ROW][C]0.2[/C][C]33.0129188003231[/C][C]0.0263824416134901[/C][/ROW]
[ROW][C]0.21[/C][C]33.0189951595558[/C][C]0.0269549914584192[/C][/ROW]
[ROW][C]0.22[/C][C]33.0251238873031[/C][C]0.0275936456238887[/C][/ROW]
[ROW][C]0.23[/C][C]33.0313386471403[/C][C]0.0284556678744401[/C][/ROW]
[ROW][C]0.24[/C][C]33.037708462233[/C][C]0.0297947910191302[/C][/ROW]
[ROW][C]0.25[/C][C]33.0443419925565[/C][C]0.0318919612843969[/C][/ROW]
[ROW][C]0.26[/C][C]33.0513884440923[/C][C]0.0348810719460683[/C][/ROW]
[ROW][C]0.27[/C][C]33.0590348265178[/C][C]0.0390379317145144[/C][/ROW]
[ROW][C]0.28[/C][C]33.0674990488634[/C][C]0.0445184653398479[/C][/ROW]
[ROW][C]0.29[/C][C]33.0770182845577[/C][C]0.0513705050597708[/C][/ROW]
[ROW][C]0.3[/C][C]33.087832393947[/C][C]0.0596723300171242[/C][/ROW]
[ROW][C]0.31[/C][C]33.1001630455581[/C][C]0.0690706697511242[/C][/ROW]
[ROW][C]0.32[/C][C]33.1141903796956[/C][C]0.0793664532032125[/C][/ROW]
[ROW][C]0.33[/C][C]33.1300302640268[/C][C]0.0900421199514201[/C][/ROW]
[ROW][C]0.34[/C][C]33.1477159719911[/C][C]0.100667826454629[/C][/ROW]
[ROW][C]0.35[/C][C]33.167188113194[/C][C]0.11054465437947[/C][/ROW]
[ROW][C]0.36[/C][C]33.1882957079273[/C][C]0.119235464881069[/C][/ROW]
[ROW][C]0.37[/C][C]33.2108095452736[/C][C]0.126343192711107[/C][/ROW]
[ROW][C]0.38[/C][C]33.2344467629637[/C][C]0.131646305006864[/C][/ROW]
[ROW][C]0.39[/C][C]33.2589034455697[/C][C]0.135117219515048[/C][/ROW]
[ROW][C]0.4[/C][C]33.2838904563052[/C][C]0.136932256525394[/C][/ROW]
[ROW][C]0.41[/C][C]33.3091670494922[/C][C]0.137554730774161[/C][/ROW]
[ROW][C]0.42[/C][C]33.334567174768[/C][C]0.137504669461647[/C][/ROW]
[ROW][C]0.43[/C][C]33.3600146565514[/C][C]0.137344443557408[/C][/ROW]
[ROW][C]0.44[/C][C]33.385525306747[/C][C]0.137632001439769[/C][/ROW]
[ROW][C]0.45[/C][C]33.4111961156002[/C][C]0.138869331655534[/C][/ROW]
[ROW][C]0.46[/C][C]33.4371835915309[/C][C]0.141359930728519[/C][/ROW]
[ROW][C]0.47[/C][C]33.4636747966556[/C][C]0.145117109905365[/C][/ROW]
[ROW][C]0.48[/C][C]33.4908554726954[/C][C]0.149999353001861[/C][/ROW]
[ROW][C]0.49[/C][C]33.5188797999787[/C][C]0.155664310805678[/C][/ROW]
[ROW][C]0.5[/C][C]33.5478457972456[/C][C]0.161666192146452[/C][/ROW]
[ROW][C]0.51[/C][C]33.5777792475887[/C][C]0.167436601473946[/C][/ROW]
[ROW][C]0.52[/C][C]33.6086275006725[/C][C]0.172521047108871[/C][/ROW]
[ROW][C]0.53[/C][C]33.6402628064506[/C][C]0.176489033467537[/C][/ROW]
[ROW][C]0.54[/C][C]33.6724932929486[/C][C]0.179083921941134[/C][/ROW]
[ROW][C]0.55[/C][C]33.705078629275[/C][C]0.180048598615729[/C][/ROW]
[ROW][C]0.56[/C][C]33.7377470607069[/C][C]0.179387519648196[/C][/ROW]
[ROW][C]0.57[/C][C]33.7702109533208[/C][C]0.177068609400215[/C][/ROW]
[ROW][C]0.58[/C][C]33.8021791168687[/C][C]0.173211290453466[/C][/ROW]
[ROW][C]0.59[/C][C]33.833365657393[/C][C]0.167869941806529[/C][/ROW]
[ROW][C]0.6[/C][C]33.8634964919633[/C][C]0.161156746624501[/C][/ROW]
[ROW][C]0.61[/C][C]33.8923154940094[/C][C]0.153157461083639[/C][/ROW]
[ROW][C]0.62[/C][C]33.9195922434983[/C][C]0.14398266018969[/C][/ROW]
[ROW][C]0.63[/C][C]33.9451325089942[/C][C]0.13378068281898[/C][/ROW]
[ROW][C]0.64[/C][C]33.9687911510944[/C][C]0.122853214676891[/C][/ROW]
[ROW][C]0.65[/C][C]33.9904855828524[/C][C]0.111483406314812[/C][/ROW]
[ROW][C]0.66[/C][C]34.0102067897404[/C][C]0.100123250477774[/C][/ROW]
[ROW][C]0.67[/C][C]34.0280246263481[/C][C]0.089255806452751[/C][/ROW]
[ROW][C]0.68[/C][C]34.044084845634[/C][C]0.0792742626530725[/C][/ROW]
[ROW][C]0.69[/C][C]34.0585969429516[/C][C]0.0706021358410356[/C][/ROW]
[ROW][C]0.7[/C][C]34.0718139969418[/C][C]0.0635396296473476[/C][/ROW]
[ROW][C]0.71[/C][C]34.0840076870573[/C][C]0.0580579950248228[/C][/ROW]
[ROW][C]0.72[/C][C]34.0954429878109[/C][C]0.0541634410199745[/C][/ROW]
[ROW][C]0.73[/C][C]34.1063572686107[/C][C]0.0515097015974545[/C][/ROW]
[ROW][C]0.74[/C][C]34.1169475293341[/C][C]0.0497821040505283[/C][/ROW]
[ROW][C]0.75[/C][C]34.1273674650351[/C][C]0.0486760415725716[/C][/ROW]
[ROW][C]0.76[/C][C]34.1377334607095[/C][C]0.047915479499181[/C][/ROW]
[ROW][C]0.77[/C][C]34.1481361412663[/C][C]0.0473731632827085[/C][/ROW]
[ROW][C]0.78[/C][C]34.1586524555181[/C][C]0.0470762980745525[/C][/ROW]
[ROW][C]0.79[/C][C]34.1693530447157[/C][C]0.047051792486246[/C][/ROW]
[ROW][C]0.8[/C][C]34.1803011508123[/C][C]0.0472801131585088[/C][/ROW]
[ROW][C]0.81[/C][C]34.1915424810648[/C][C]0.0477733000428651[/C][/ROW]
[ROW][C]0.82[/C][C]34.2030897136068[/C][C]0.0482762870605324[/C][/ROW]
[ROW][C]0.83[/C][C]34.2149096323833[/C][C]0.048603807879254[/C][/ROW]
[ROW][C]0.84[/C][C]34.2269236491312[/C][C]0.0483684832237809[/C][/ROW]
[ROW][C]0.85[/C][C]34.2390318193755[/C][C]0.0474072192123961[/C][/ROW]
[ROW][C]0.86[/C][C]34.2511646923167[/C][C]0.0457568163448575[/C][/ROW]
[ROW][C]0.87[/C][C]34.2633559154108[/C][C]0.04380756074762[/C][/ROW]
[ROW][C]0.88[/C][C]34.2758134425195[/C][C]0.0423531288342059[/C][/ROW]
[ROW][C]0.89[/C][C]34.2889541863712[/C][C]0.0424390462374996[/C][/ROW]
[ROW][C]0.9[/C][C]34.3033650655228[/C][C]0.0448259239986424[/C][/ROW]
[ROW][C]0.91[/C][C]34.3196712645472[/C][C]0.0494424182882754[/C][/ROW]
[ROW][C]0.92[/C][C]34.3383306724499[/C][C]0.0549928333869233[/C][/ROW]
[ROW][C]0.93[/C][C]34.3594161732723[/C][C]0.0595673221263013[/C][/ROW]
[ROW][C]0.94[/C][C]34.3824639097898[/C][C]0.0612722413505995[/C][/ROW]
[ROW][C]0.95[/C][C]34.4064316206139[/C][C]0.058913230132989[/C][/ROW]
[ROW][C]0.96[/C][C]34.4297488470216[/C][C]0.0522161559818899[/C][/ROW]
[ROW][C]0.97[/C][C]34.4504374955091[/C][C]0.0414049292295423[/C][/ROW]
[ROW][C]0.98[/C][C]34.4664117011871[/C][C]0.0270361831376094[/C][/ROW]
[ROW][C]0.99[/C][C]34.4761957021521[/C][C]0.0113370065373393[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=177177&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=177177&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0132.7207794876670.0569823730985556
0.0232.75702997216870.0753311183268389
0.0332.79878863659410.0787596534422314
0.0432.83789017342980.0702795014703447
0.0532.8704751880630.0584366415796317
0.0632.89600836842390.0477849396105389
0.0732.91553614346230.0391305513316065
0.0832.93047135617670.0322221481178831
0.0932.94207413140890.0269916894642467
0.132.95134306709520.0234240461304887
0.1132.95904347171380.0213970992594947
0.1232.96574974872950.0205382098505943
0.1332.97187869344680.0205330892249717
0.1432.97771869769060.0210778051014373
0.1532.98345741499450.0219661640364114
0.1632.98920629030620.0229787092562027
0.1732.99502083445250.0240214102223462
0.1833.00091752420220.0249672741022894
0.1933.00688902216250.025751568380304
0.233.01291880032310.0263824416134901
0.2133.01899515955580.0269549914584192
0.2233.02512388730310.0275936456238887
0.2333.03133864714030.0284556678744401
0.2433.0377084622330.0297947910191302
0.2533.04434199255650.0318919612843969
0.2633.05138844409230.0348810719460683
0.2733.05903482651780.0390379317145144
0.2833.06749904886340.0445184653398479
0.2933.07701828455770.0513705050597708
0.333.0878323939470.0596723300171242
0.3133.10016304555810.0690706697511242
0.3233.11419037969560.0793664532032125
0.3333.13003026402680.0900421199514201
0.3433.14771597199110.100667826454629
0.3533.1671881131940.11054465437947
0.3633.18829570792730.119235464881069
0.3733.21080954527360.126343192711107
0.3833.23444676296370.131646305006864
0.3933.25890344556970.135117219515048
0.433.28389045630520.136932256525394
0.4133.30916704949220.137554730774161
0.4233.3345671747680.137504669461647
0.4333.36001465655140.137344443557408
0.4433.3855253067470.137632001439769
0.4533.41119611560020.138869331655534
0.4633.43718359153090.141359930728519
0.4733.46367479665560.145117109905365
0.4833.49085547269540.149999353001861
0.4933.51887979997870.155664310805678
0.533.54784579724560.161666192146452
0.5133.57777924758870.167436601473946
0.5233.60862750067250.172521047108871
0.5333.64026280645060.176489033467537
0.5433.67249329294860.179083921941134
0.5533.7050786292750.180048598615729
0.5633.73774706070690.179387519648196
0.5733.77021095332080.177068609400215
0.5833.80217911686870.173211290453466
0.5933.8333656573930.167869941806529
0.633.86349649196330.161156746624501
0.6133.89231549400940.153157461083639
0.6233.91959224349830.14398266018969
0.6333.94513250899420.13378068281898
0.6433.96879115109440.122853214676891
0.6533.99048558285240.111483406314812
0.6634.01020678974040.100123250477774
0.6734.02802462634810.089255806452751
0.6834.0440848456340.0792742626530725
0.6934.05859694295160.0706021358410356
0.734.07181399694180.0635396296473476
0.7134.08400768705730.0580579950248228
0.7234.09544298781090.0541634410199745
0.7334.10635726861070.0515097015974545
0.7434.11694752933410.0497821040505283
0.7534.12736746503510.0486760415725716
0.7634.13773346070950.047915479499181
0.7734.14813614126630.0473731632827085
0.7834.15865245551810.0470762980745525
0.7934.16935304471570.047051792486246
0.834.18030115081230.0472801131585088
0.8134.19154248106480.0477733000428651
0.8234.20308971360680.0482762870605324
0.8334.21490963238330.048603807879254
0.8434.22692364913120.0483684832237809
0.8534.23903181937550.0474072192123961
0.8634.25116469231670.0457568163448575
0.8734.26335591541080.04380756074762
0.8834.27581344251950.0423531288342059
0.8934.28895418637120.0424390462374996
0.934.30336506552280.0448259239986424
0.9134.31967126454720.0494424182882754
0.9234.33833067244990.0549928333869233
0.9334.35941617327230.0595673221263013
0.9434.38246390978980.0612722413505995
0.9534.40643162061390.058913230132989
0.9634.42974884702160.0522161559818899
0.9734.45043749550910.0414049292295423
0.9834.46641170118710.0270361831376094
0.9934.47619570215210.0113370065373393



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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')