Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 02 Oct 2013 06:01:58 -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/2013/Oct/02/t1380708221pcc02rc2pv1xqn9.htm/, Retrieved Sun, 28 Apr 2024 04:23:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212626, Retrieved Sun, 28 Apr 2024 04:23:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-10-02 10:01:58] [a9b531f12fa224c0c22271b290223f8e] [Current]
Feedback Forum

Post a new message
Dataseries X:
1.27
1.26
1.26
1.27
1.27
1.28
1.28
1.28
1.29
1.29
1.29
1.29
1.3
1.31
1.31
1.32
1.32
1.32
1.32
1.32
1.32
1.33
1.32
1.33
1.34
1.35
1.35
1.35
1.35
1.35
1.35
1.35
1.36
1.35
1.36
1.36
1.37
1.38
1.38
1.38
1.39
1.39
1.39
1.39
1.39
1.4
1.39
1.39
1.4
1.4
1.4
1.41
1.41
1.42
1.42
1.43
1.43
1.44
1.43
1.43
1.43
1.44
1.44
1.44
1.43
1.44
1.45
1.45
1.48
1.49
1.49
1.51
1.52
1.53
1.53
1.54
1.54
1.54
1.57
1.59
1.58
1.6
1.62
1.62




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=212626&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=212626&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212626&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 Ronald Aylmer Fisher' @ fisher.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.261052173844650.00285819330278177
0.021.263387108655920.00508598014324708
0.031.266406661206260.00558297782078815
0.041.269475153737280.0055650362383213
0.051.272365121111150.00590961600151268
0.061.275126432340130.00647437465862791
0.071.277848289073920.00698014773988111
0.081.280570414073180.00739784103876234
0.091.283305078616410.0078365573233339
0.11.286072359834210.00840926444927924
0.111.288907973457110.00915583035548405
0.121.2918488949610.0100262597820399
0.131.29491307997810.0108898643982762
0.141.298085124020210.011575969783169
0.151.301313603476120.0119352809695498
0.161.304520875488050.0118910900931832
0.171.307621882884960.0114634880325973
0.181.310545639718640.0107643186913174
0.191.313252599187630.00996839834518868
0.21.315743062273650.00927234908097226
0.211.318055070423470.0088487217918392
0.221.320253409050210.00879882264168211
0.231.322413438122130.00912574757328626
0.241.324604154185770.00972797305545527
0.251.326874381826330.0104555600983134
0.261.329244722816820.011151012237394
0.271.331706302818930.0116758920011571
0.281.334225816763230.0119408062923005
0.291.336755157923090.0119109975851567
0.31.339243197947910.0116104812105386
0.311.341647136950360.0111150567174961
0.321.343941224557430.0105349011725142
0.331.346121424419280.010000386307392
0.341.348205549406030.00962946049516222
0.351.350229311673270.00951511553060186
0.361.352239429476370.00969399037092764
0.371.354285307132860.0101480589843004
0.381.356410841209260.0108083434792197
0.391.358647664868890.0115813489045791
0.41.361010726462360.0123590576784313
0.411.363496618803350.0130465871573964
0.421.366084623720340.0135595445528328
0.431.368740071448460.0138392637141009
0.441.371419363079870.013856965566333
0.451.37407587006080.013615713203347
0.461.376665898375020.0131445650179459
0.471.37915397247370.0125035466310125
0.481.381516839054720.0117619851931721
0.491.38374579414260.0110071005848865
0.51.385847173703580.0103207875188271
0.511.387841087238750.0097773831661591
0.521.389758681404560.00943442424259269
0.531.391638366484870.00932287549024002
0.541.393521504413420.00944658253389284
0.551.395448043497660.00978004109950429
0.561.397452511940340.0102768739899726
0.571.399560682677940.010879273573266
0.581.401787129694590.011517581486094
0.591.40413383152840.0121258500056822
0.61.406589939716780.0126372757409689
0.611.40913279554130.0129949494690437
0.621.411730215167820.0131561952634664
0.631.414343948186350.0130988320497901
0.641.416934052136350.0128221082659561
0.651.419463754963450.0123524910331934
0.661.421904262133710.0117402390987209
0.671.424238966872260.0110553465702568
0.681.426466666151650.0103795136714497
0.691.428603635306620.00980457331373318
0.71.430684671133820.00942047571892706
0.711.432763346656290.00931436187417351
0.721.434911628680680.00956926786759053
0.731.437218684082410.0102558054619798
0.741.439788266193620.011427226821229
0.751.442733763481380.0131010276466602
0.761.446170066230890.0152480435234431
0.771.450202012276020.0177765453129591
0.781.454910237166710.0205315578987639
0.791.460336458253720.0233018777907056
0.81.466471107749620.0258427192130065
0.811.473246413557870.0279060127578609
0.821.480537414900380.0292775882456557
0.831.488172259732490.0298117847108757
0.841.495951920938730.0294567248556084
0.851.503678465253380.028272334940762
0.861.511189941542610.0264382697313724
0.871.518397974080750.0242571596250172
0.881.52532044820920.0221445450146721
0.891.532096837772840.0205794672690687
0.91.538971143511430.0199657024186281
0.911.546233208868650.0203900554580562
0.921.554128295469250.0214476746146082
0.931.56277255519110.0223936385212251
0.941.572125648879760.0225517202073722
0.951.582034710748930.0217216796550501
0.961.592263052645560.0202127369375739
0.971.602340196792660.0180847663513372
0.981.611242633473150.0140871690374068
0.991.617437269263120.00698379611711238

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.26105217384465 & 0.00285819330278177 \tabularnewline
0.02 & 1.26338710865592 & 0.00508598014324708 \tabularnewline
0.03 & 1.26640666120626 & 0.00558297782078815 \tabularnewline
0.04 & 1.26947515373728 & 0.0055650362383213 \tabularnewline
0.05 & 1.27236512111115 & 0.00590961600151268 \tabularnewline
0.06 & 1.27512643234013 & 0.00647437465862791 \tabularnewline
0.07 & 1.27784828907392 & 0.00698014773988111 \tabularnewline
0.08 & 1.28057041407318 & 0.00739784103876234 \tabularnewline
0.09 & 1.28330507861641 & 0.0078365573233339 \tabularnewline
0.1 & 1.28607235983421 & 0.00840926444927924 \tabularnewline
0.11 & 1.28890797345711 & 0.00915583035548405 \tabularnewline
0.12 & 1.291848894961 & 0.0100262597820399 \tabularnewline
0.13 & 1.2949130799781 & 0.0108898643982762 \tabularnewline
0.14 & 1.29808512402021 & 0.011575969783169 \tabularnewline
0.15 & 1.30131360347612 & 0.0119352809695498 \tabularnewline
0.16 & 1.30452087548805 & 0.0118910900931832 \tabularnewline
0.17 & 1.30762188288496 & 0.0114634880325973 \tabularnewline
0.18 & 1.31054563971864 & 0.0107643186913174 \tabularnewline
0.19 & 1.31325259918763 & 0.00996839834518868 \tabularnewline
0.2 & 1.31574306227365 & 0.00927234908097226 \tabularnewline
0.21 & 1.31805507042347 & 0.0088487217918392 \tabularnewline
0.22 & 1.32025340905021 & 0.00879882264168211 \tabularnewline
0.23 & 1.32241343812213 & 0.00912574757328626 \tabularnewline
0.24 & 1.32460415418577 & 0.00972797305545527 \tabularnewline
0.25 & 1.32687438182633 & 0.0104555600983134 \tabularnewline
0.26 & 1.32924472281682 & 0.011151012237394 \tabularnewline
0.27 & 1.33170630281893 & 0.0116758920011571 \tabularnewline
0.28 & 1.33422581676323 & 0.0119408062923005 \tabularnewline
0.29 & 1.33675515792309 & 0.0119109975851567 \tabularnewline
0.3 & 1.33924319794791 & 0.0116104812105386 \tabularnewline
0.31 & 1.34164713695036 & 0.0111150567174961 \tabularnewline
0.32 & 1.34394122455743 & 0.0105349011725142 \tabularnewline
0.33 & 1.34612142441928 & 0.010000386307392 \tabularnewline
0.34 & 1.34820554940603 & 0.00962946049516222 \tabularnewline
0.35 & 1.35022931167327 & 0.00951511553060186 \tabularnewline
0.36 & 1.35223942947637 & 0.00969399037092764 \tabularnewline
0.37 & 1.35428530713286 & 0.0101480589843004 \tabularnewline
0.38 & 1.35641084120926 & 0.0108083434792197 \tabularnewline
0.39 & 1.35864766486889 & 0.0115813489045791 \tabularnewline
0.4 & 1.36101072646236 & 0.0123590576784313 \tabularnewline
0.41 & 1.36349661880335 & 0.0130465871573964 \tabularnewline
0.42 & 1.36608462372034 & 0.0135595445528328 \tabularnewline
0.43 & 1.36874007144846 & 0.0138392637141009 \tabularnewline
0.44 & 1.37141936307987 & 0.013856965566333 \tabularnewline
0.45 & 1.3740758700608 & 0.013615713203347 \tabularnewline
0.46 & 1.37666589837502 & 0.0131445650179459 \tabularnewline
0.47 & 1.3791539724737 & 0.0125035466310125 \tabularnewline
0.48 & 1.38151683905472 & 0.0117619851931721 \tabularnewline
0.49 & 1.3837457941426 & 0.0110071005848865 \tabularnewline
0.5 & 1.38584717370358 & 0.0103207875188271 \tabularnewline
0.51 & 1.38784108723875 & 0.0097773831661591 \tabularnewline
0.52 & 1.38975868140456 & 0.00943442424259269 \tabularnewline
0.53 & 1.39163836648487 & 0.00932287549024002 \tabularnewline
0.54 & 1.39352150441342 & 0.00944658253389284 \tabularnewline
0.55 & 1.39544804349766 & 0.00978004109950429 \tabularnewline
0.56 & 1.39745251194034 & 0.0102768739899726 \tabularnewline
0.57 & 1.39956068267794 & 0.010879273573266 \tabularnewline
0.58 & 1.40178712969459 & 0.011517581486094 \tabularnewline
0.59 & 1.4041338315284 & 0.0121258500056822 \tabularnewline
0.6 & 1.40658993971678 & 0.0126372757409689 \tabularnewline
0.61 & 1.4091327955413 & 0.0129949494690437 \tabularnewline
0.62 & 1.41173021516782 & 0.0131561952634664 \tabularnewline
0.63 & 1.41434394818635 & 0.0130988320497901 \tabularnewline
0.64 & 1.41693405213635 & 0.0128221082659561 \tabularnewline
0.65 & 1.41946375496345 & 0.0123524910331934 \tabularnewline
0.66 & 1.42190426213371 & 0.0117402390987209 \tabularnewline
0.67 & 1.42423896687226 & 0.0110553465702568 \tabularnewline
0.68 & 1.42646666615165 & 0.0103795136714497 \tabularnewline
0.69 & 1.42860363530662 & 0.00980457331373318 \tabularnewline
0.7 & 1.43068467113382 & 0.00942047571892706 \tabularnewline
0.71 & 1.43276334665629 & 0.00931436187417351 \tabularnewline
0.72 & 1.43491162868068 & 0.00956926786759053 \tabularnewline
0.73 & 1.43721868408241 & 0.0102558054619798 \tabularnewline
0.74 & 1.43978826619362 & 0.011427226821229 \tabularnewline
0.75 & 1.44273376348138 & 0.0131010276466602 \tabularnewline
0.76 & 1.44617006623089 & 0.0152480435234431 \tabularnewline
0.77 & 1.45020201227602 & 0.0177765453129591 \tabularnewline
0.78 & 1.45491023716671 & 0.0205315578987639 \tabularnewline
0.79 & 1.46033645825372 & 0.0233018777907056 \tabularnewline
0.8 & 1.46647110774962 & 0.0258427192130065 \tabularnewline
0.81 & 1.47324641355787 & 0.0279060127578609 \tabularnewline
0.82 & 1.48053741490038 & 0.0292775882456557 \tabularnewline
0.83 & 1.48817225973249 & 0.0298117847108757 \tabularnewline
0.84 & 1.49595192093873 & 0.0294567248556084 \tabularnewline
0.85 & 1.50367846525338 & 0.028272334940762 \tabularnewline
0.86 & 1.51118994154261 & 0.0264382697313724 \tabularnewline
0.87 & 1.51839797408075 & 0.0242571596250172 \tabularnewline
0.88 & 1.5253204482092 & 0.0221445450146721 \tabularnewline
0.89 & 1.53209683777284 & 0.0205794672690687 \tabularnewline
0.9 & 1.53897114351143 & 0.0199657024186281 \tabularnewline
0.91 & 1.54623320886865 & 0.0203900554580562 \tabularnewline
0.92 & 1.55412829546925 & 0.0214476746146082 \tabularnewline
0.93 & 1.5627725551911 & 0.0223936385212251 \tabularnewline
0.94 & 1.57212564887976 & 0.0225517202073722 \tabularnewline
0.95 & 1.58203471074893 & 0.0217216796550501 \tabularnewline
0.96 & 1.59226305264556 & 0.0202127369375739 \tabularnewline
0.97 & 1.60234019679266 & 0.0180847663513372 \tabularnewline
0.98 & 1.61124263347315 & 0.0140871690374068 \tabularnewline
0.99 & 1.61743726926312 & 0.00698379611711238 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212626&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]1.26105217384465[/C][C]0.00285819330278177[/C][/ROW]
[ROW][C]0.02[/C][C]1.26338710865592[/C][C]0.00508598014324708[/C][/ROW]
[ROW][C]0.03[/C][C]1.26640666120626[/C][C]0.00558297782078815[/C][/ROW]
[ROW][C]0.04[/C][C]1.26947515373728[/C][C]0.0055650362383213[/C][/ROW]
[ROW][C]0.05[/C][C]1.27236512111115[/C][C]0.00590961600151268[/C][/ROW]
[ROW][C]0.06[/C][C]1.27512643234013[/C][C]0.00647437465862791[/C][/ROW]
[ROW][C]0.07[/C][C]1.27784828907392[/C][C]0.00698014773988111[/C][/ROW]
[ROW][C]0.08[/C][C]1.28057041407318[/C][C]0.00739784103876234[/C][/ROW]
[ROW][C]0.09[/C][C]1.28330507861641[/C][C]0.0078365573233339[/C][/ROW]
[ROW][C]0.1[/C][C]1.28607235983421[/C][C]0.00840926444927924[/C][/ROW]
[ROW][C]0.11[/C][C]1.28890797345711[/C][C]0.00915583035548405[/C][/ROW]
[ROW][C]0.12[/C][C]1.291848894961[/C][C]0.0100262597820399[/C][/ROW]
[ROW][C]0.13[/C][C]1.2949130799781[/C][C]0.0108898643982762[/C][/ROW]
[ROW][C]0.14[/C][C]1.29808512402021[/C][C]0.011575969783169[/C][/ROW]
[ROW][C]0.15[/C][C]1.30131360347612[/C][C]0.0119352809695498[/C][/ROW]
[ROW][C]0.16[/C][C]1.30452087548805[/C][C]0.0118910900931832[/C][/ROW]
[ROW][C]0.17[/C][C]1.30762188288496[/C][C]0.0114634880325973[/C][/ROW]
[ROW][C]0.18[/C][C]1.31054563971864[/C][C]0.0107643186913174[/C][/ROW]
[ROW][C]0.19[/C][C]1.31325259918763[/C][C]0.00996839834518868[/C][/ROW]
[ROW][C]0.2[/C][C]1.31574306227365[/C][C]0.00927234908097226[/C][/ROW]
[ROW][C]0.21[/C][C]1.31805507042347[/C][C]0.0088487217918392[/C][/ROW]
[ROW][C]0.22[/C][C]1.32025340905021[/C][C]0.00879882264168211[/C][/ROW]
[ROW][C]0.23[/C][C]1.32241343812213[/C][C]0.00912574757328626[/C][/ROW]
[ROW][C]0.24[/C][C]1.32460415418577[/C][C]0.00972797305545527[/C][/ROW]
[ROW][C]0.25[/C][C]1.32687438182633[/C][C]0.0104555600983134[/C][/ROW]
[ROW][C]0.26[/C][C]1.32924472281682[/C][C]0.011151012237394[/C][/ROW]
[ROW][C]0.27[/C][C]1.33170630281893[/C][C]0.0116758920011571[/C][/ROW]
[ROW][C]0.28[/C][C]1.33422581676323[/C][C]0.0119408062923005[/C][/ROW]
[ROW][C]0.29[/C][C]1.33675515792309[/C][C]0.0119109975851567[/C][/ROW]
[ROW][C]0.3[/C][C]1.33924319794791[/C][C]0.0116104812105386[/C][/ROW]
[ROW][C]0.31[/C][C]1.34164713695036[/C][C]0.0111150567174961[/C][/ROW]
[ROW][C]0.32[/C][C]1.34394122455743[/C][C]0.0105349011725142[/C][/ROW]
[ROW][C]0.33[/C][C]1.34612142441928[/C][C]0.010000386307392[/C][/ROW]
[ROW][C]0.34[/C][C]1.34820554940603[/C][C]0.00962946049516222[/C][/ROW]
[ROW][C]0.35[/C][C]1.35022931167327[/C][C]0.00951511553060186[/C][/ROW]
[ROW][C]0.36[/C][C]1.35223942947637[/C][C]0.00969399037092764[/C][/ROW]
[ROW][C]0.37[/C][C]1.35428530713286[/C][C]0.0101480589843004[/C][/ROW]
[ROW][C]0.38[/C][C]1.35641084120926[/C][C]0.0108083434792197[/C][/ROW]
[ROW][C]0.39[/C][C]1.35864766486889[/C][C]0.0115813489045791[/C][/ROW]
[ROW][C]0.4[/C][C]1.36101072646236[/C][C]0.0123590576784313[/C][/ROW]
[ROW][C]0.41[/C][C]1.36349661880335[/C][C]0.0130465871573964[/C][/ROW]
[ROW][C]0.42[/C][C]1.36608462372034[/C][C]0.0135595445528328[/C][/ROW]
[ROW][C]0.43[/C][C]1.36874007144846[/C][C]0.0138392637141009[/C][/ROW]
[ROW][C]0.44[/C][C]1.37141936307987[/C][C]0.013856965566333[/C][/ROW]
[ROW][C]0.45[/C][C]1.3740758700608[/C][C]0.013615713203347[/C][/ROW]
[ROW][C]0.46[/C][C]1.37666589837502[/C][C]0.0131445650179459[/C][/ROW]
[ROW][C]0.47[/C][C]1.3791539724737[/C][C]0.0125035466310125[/C][/ROW]
[ROW][C]0.48[/C][C]1.38151683905472[/C][C]0.0117619851931721[/C][/ROW]
[ROW][C]0.49[/C][C]1.3837457941426[/C][C]0.0110071005848865[/C][/ROW]
[ROW][C]0.5[/C][C]1.38584717370358[/C][C]0.0103207875188271[/C][/ROW]
[ROW][C]0.51[/C][C]1.38784108723875[/C][C]0.0097773831661591[/C][/ROW]
[ROW][C]0.52[/C][C]1.38975868140456[/C][C]0.00943442424259269[/C][/ROW]
[ROW][C]0.53[/C][C]1.39163836648487[/C][C]0.00932287549024002[/C][/ROW]
[ROW][C]0.54[/C][C]1.39352150441342[/C][C]0.00944658253389284[/C][/ROW]
[ROW][C]0.55[/C][C]1.39544804349766[/C][C]0.00978004109950429[/C][/ROW]
[ROW][C]0.56[/C][C]1.39745251194034[/C][C]0.0102768739899726[/C][/ROW]
[ROW][C]0.57[/C][C]1.39956068267794[/C][C]0.010879273573266[/C][/ROW]
[ROW][C]0.58[/C][C]1.40178712969459[/C][C]0.011517581486094[/C][/ROW]
[ROW][C]0.59[/C][C]1.4041338315284[/C][C]0.0121258500056822[/C][/ROW]
[ROW][C]0.6[/C][C]1.40658993971678[/C][C]0.0126372757409689[/C][/ROW]
[ROW][C]0.61[/C][C]1.4091327955413[/C][C]0.0129949494690437[/C][/ROW]
[ROW][C]0.62[/C][C]1.41173021516782[/C][C]0.0131561952634664[/C][/ROW]
[ROW][C]0.63[/C][C]1.41434394818635[/C][C]0.0130988320497901[/C][/ROW]
[ROW][C]0.64[/C][C]1.41693405213635[/C][C]0.0128221082659561[/C][/ROW]
[ROW][C]0.65[/C][C]1.41946375496345[/C][C]0.0123524910331934[/C][/ROW]
[ROW][C]0.66[/C][C]1.42190426213371[/C][C]0.0117402390987209[/C][/ROW]
[ROW][C]0.67[/C][C]1.42423896687226[/C][C]0.0110553465702568[/C][/ROW]
[ROW][C]0.68[/C][C]1.42646666615165[/C][C]0.0103795136714497[/C][/ROW]
[ROW][C]0.69[/C][C]1.42860363530662[/C][C]0.00980457331373318[/C][/ROW]
[ROW][C]0.7[/C][C]1.43068467113382[/C][C]0.00942047571892706[/C][/ROW]
[ROW][C]0.71[/C][C]1.43276334665629[/C][C]0.00931436187417351[/C][/ROW]
[ROW][C]0.72[/C][C]1.43491162868068[/C][C]0.00956926786759053[/C][/ROW]
[ROW][C]0.73[/C][C]1.43721868408241[/C][C]0.0102558054619798[/C][/ROW]
[ROW][C]0.74[/C][C]1.43978826619362[/C][C]0.011427226821229[/C][/ROW]
[ROW][C]0.75[/C][C]1.44273376348138[/C][C]0.0131010276466602[/C][/ROW]
[ROW][C]0.76[/C][C]1.44617006623089[/C][C]0.0152480435234431[/C][/ROW]
[ROW][C]0.77[/C][C]1.45020201227602[/C][C]0.0177765453129591[/C][/ROW]
[ROW][C]0.78[/C][C]1.45491023716671[/C][C]0.0205315578987639[/C][/ROW]
[ROW][C]0.79[/C][C]1.46033645825372[/C][C]0.0233018777907056[/C][/ROW]
[ROW][C]0.8[/C][C]1.46647110774962[/C][C]0.0258427192130065[/C][/ROW]
[ROW][C]0.81[/C][C]1.47324641355787[/C][C]0.0279060127578609[/C][/ROW]
[ROW][C]0.82[/C][C]1.48053741490038[/C][C]0.0292775882456557[/C][/ROW]
[ROW][C]0.83[/C][C]1.48817225973249[/C][C]0.0298117847108757[/C][/ROW]
[ROW][C]0.84[/C][C]1.49595192093873[/C][C]0.0294567248556084[/C][/ROW]
[ROW][C]0.85[/C][C]1.50367846525338[/C][C]0.028272334940762[/C][/ROW]
[ROW][C]0.86[/C][C]1.51118994154261[/C][C]0.0264382697313724[/C][/ROW]
[ROW][C]0.87[/C][C]1.51839797408075[/C][C]0.0242571596250172[/C][/ROW]
[ROW][C]0.88[/C][C]1.5253204482092[/C][C]0.0221445450146721[/C][/ROW]
[ROW][C]0.89[/C][C]1.53209683777284[/C][C]0.0205794672690687[/C][/ROW]
[ROW][C]0.9[/C][C]1.53897114351143[/C][C]0.0199657024186281[/C][/ROW]
[ROW][C]0.91[/C][C]1.54623320886865[/C][C]0.0203900554580562[/C][/ROW]
[ROW][C]0.92[/C][C]1.55412829546925[/C][C]0.0214476746146082[/C][/ROW]
[ROW][C]0.93[/C][C]1.5627725551911[/C][C]0.0223936385212251[/C][/ROW]
[ROW][C]0.94[/C][C]1.57212564887976[/C][C]0.0225517202073722[/C][/ROW]
[ROW][C]0.95[/C][C]1.58203471074893[/C][C]0.0217216796550501[/C][/ROW]
[ROW][C]0.96[/C][C]1.59226305264556[/C][C]0.0202127369375739[/C][/ROW]
[ROW][C]0.97[/C][C]1.60234019679266[/C][C]0.0180847663513372[/C][/ROW]
[ROW][C]0.98[/C][C]1.61124263347315[/C][C]0.0140871690374068[/C][/ROW]
[ROW][C]0.99[/C][C]1.61743726926312[/C][C]0.00698379611711238[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212626&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212626&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
0.011.261052173844650.00285819330278177
0.021.263387108655920.00508598014324708
0.031.266406661206260.00558297782078815
0.041.269475153737280.0055650362383213
0.051.272365121111150.00590961600151268
0.061.275126432340130.00647437465862791
0.071.277848289073920.00698014773988111
0.081.280570414073180.00739784103876234
0.091.283305078616410.0078365573233339
0.11.286072359834210.00840926444927924
0.111.288907973457110.00915583035548405
0.121.2918488949610.0100262597820399
0.131.29491307997810.0108898643982762
0.141.298085124020210.011575969783169
0.151.301313603476120.0119352809695498
0.161.304520875488050.0118910900931832
0.171.307621882884960.0114634880325973
0.181.310545639718640.0107643186913174
0.191.313252599187630.00996839834518868
0.21.315743062273650.00927234908097226
0.211.318055070423470.0088487217918392
0.221.320253409050210.00879882264168211
0.231.322413438122130.00912574757328626
0.241.324604154185770.00972797305545527
0.251.326874381826330.0104555600983134
0.261.329244722816820.011151012237394
0.271.331706302818930.0116758920011571
0.281.334225816763230.0119408062923005
0.291.336755157923090.0119109975851567
0.31.339243197947910.0116104812105386
0.311.341647136950360.0111150567174961
0.321.343941224557430.0105349011725142
0.331.346121424419280.010000386307392
0.341.348205549406030.00962946049516222
0.351.350229311673270.00951511553060186
0.361.352239429476370.00969399037092764
0.371.354285307132860.0101480589843004
0.381.356410841209260.0108083434792197
0.391.358647664868890.0115813489045791
0.41.361010726462360.0123590576784313
0.411.363496618803350.0130465871573964
0.421.366084623720340.0135595445528328
0.431.368740071448460.0138392637141009
0.441.371419363079870.013856965566333
0.451.37407587006080.013615713203347
0.461.376665898375020.0131445650179459
0.471.37915397247370.0125035466310125
0.481.381516839054720.0117619851931721
0.491.38374579414260.0110071005848865
0.51.385847173703580.0103207875188271
0.511.387841087238750.0097773831661591
0.521.389758681404560.00943442424259269
0.531.391638366484870.00932287549024002
0.541.393521504413420.00944658253389284
0.551.395448043497660.00978004109950429
0.561.397452511940340.0102768739899726
0.571.399560682677940.010879273573266
0.581.401787129694590.011517581486094
0.591.40413383152840.0121258500056822
0.61.406589939716780.0126372757409689
0.611.40913279554130.0129949494690437
0.621.411730215167820.0131561952634664
0.631.414343948186350.0130988320497901
0.641.416934052136350.0128221082659561
0.651.419463754963450.0123524910331934
0.661.421904262133710.0117402390987209
0.671.424238966872260.0110553465702568
0.681.426466666151650.0103795136714497
0.691.428603635306620.00980457331373318
0.71.430684671133820.00942047571892706
0.711.432763346656290.00931436187417351
0.721.434911628680680.00956926786759053
0.731.437218684082410.0102558054619798
0.741.439788266193620.011427226821229
0.751.442733763481380.0131010276466602
0.761.446170066230890.0152480435234431
0.771.450202012276020.0177765453129591
0.781.454910237166710.0205315578987639
0.791.460336458253720.0233018777907056
0.81.466471107749620.0258427192130065
0.811.473246413557870.0279060127578609
0.821.480537414900380.0292775882456557
0.831.488172259732490.0298117847108757
0.841.495951920938730.0294567248556084
0.851.503678465253380.028272334940762
0.861.511189941542610.0264382697313724
0.871.518397974080750.0242571596250172
0.881.52532044820920.0221445450146721
0.891.532096837772840.0205794672690687
0.91.538971143511430.0199657024186281
0.911.546233208868650.0203900554580562
0.921.554128295469250.0214476746146082
0.931.56277255519110.0223936385212251
0.941.572125648879760.0225517202073722
0.951.582034710748930.0217216796550501
0.961.592263052645560.0202127369375739
0.971.602340196792660.0180847663513372
0.981.611242633473150.0140871690374068
0.991.617437269263120.00698379611711238



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 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')