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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 05 Jan 2009 11:47:47 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Jan/05/t1231181308uzkxurqwei8sz15.htm/, Retrieved Thu, 09 May 2024 11:57:49 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=36760, Retrieved Thu, 09 May 2024 11:57:49 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact237
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Dennis Collin] [2009-01-05 18:47:47] [06e57c0cb32e2f613cf343ab1a0ac99f] [Current]
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Dataseries X:
1.63
1.63
1.62
1.62
1.61
1.6
1.6
1.6
1.59
1.59
1.58
1.58
1.58
1.58
1.58
1.58
1.56
1.56
1.55
1.55
1.55
1.54
1.54
1.53
1.53
1.53
1.53
1.52
1.52
1.52
1.52
1.51
1.51
1.51
1.5
1.49
1.49
1.49
1.48
1.47
1.47
1.47
1.46
1.46
1.45
1.45
1.44
1.43
1.43
1.43
1.42
1.41
1.4
1.4
1.4
1.4
1.39
1.38
1.38
1.38
1.37
1.37
1.37
1.37
1.37
1.37
1.37
1.36
1.36
1.36
1.35
1.34
1.34
1.34
1.34
1.34
1.34
1.34
1.33
1.33
1.33
1.32
1.32
1.32
1.32




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=36760&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=36760&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36760&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.320124337708080.000452173631395253
0.021.320629926938960.00167739434311284
0.031.321759689669660.00339064016158378
0.041.323562197368220.00493833777763292
0.051.325864531492050.00587415158350173
0.061.328389631684440.00618113934358409
0.071.330889309051020.00606403515860513
0.081.333207892066120.00571476912795799
0.091.335283367404250.00527296060130007
0.11.33712759253190.00490815103761987
0.111.338808202572530.00483949648264037
0.121.340430730957990.00523919176425323
0.131.342114579719550.00610860247912079
0.141.343964308372470.00727859859504087
0.151.346044495526530.00852101995658714
0.161.348366338046580.0096144971486408
0.171.350889211747620.010390554131561
0.181.353534866021170.0107575862749674
0.191.356208519652230.0107133007177526
0.21.358820487843150.0103288419031353
0.211.361303378993380.0097311317043279
0.221.363622206173300.00907200825569265
0.231.365776983944780.00850566080038864
0.241.367798973781790.00816740437289607
0.251.369742573119740.00814920659500631
0.261.371675055500340.00848721273766899
0.271.373666184037080.0091547967477816
0.281.375779313645760.0100844787803887
0.291.378065069418530.011191408906546
0.31.380558097837490.012390232227291
0.311.383276796253450.0136111347523127
0.321.386225417416650.0147998702546597
0.331.389397608726560.0159259206486621
0.341.392780342311610.0169762642898309
0.351.396357329645420.0179495845691041
0.361.400111338314890.0188508180753763
0.371.404025236679280.0196793689173256
0.381.408081967245570.0204333064032399
0.391.412263896092260.0211005331080408
0.41.416552057802440.0216654571651208
0.411.420925726133390.0221150780322406
0.421.425362549441560.0224381996130976
0.431.429839274858000.0226296806292039
0.441.434332913041780.0226959953358242
0.451.438822100953170.0226495303862529
0.461.4432884032590.0225095712899146
0.471.447717329956620.0222964691571899
0.481.452098909426950.0220381273803912
0.491.456427722431370.0217585768666964
0.51.460702367587490.0214785108088721
0.511.464924395824880.0212122204647224
0.521.469096823363750.020965267758092
0.531.473222405582380.0207319902746779
0.541.477301914663850.0204957451312662
0.551.481332694838810.0202342053427092
0.561.485307756136360.0199224730765393
0.571.489215605771270.0195329127361954
0.581.493040912243600.0190473718224677
0.591.496765967774370.0184546838934781
0.61.500372783000300.0177579515588497
0.611.503845538367150.0169742919494668
0.621.507173050275930.0161339164002854
0.631.510350899786760.0152758631879938
0.641.513382919822010.0144467509064659
0.651.516281834084850.0136956195453015
0.661.519068968778150.0130657105852462
0.671.521773093390170.0125915800058277
0.681.524428566128640.0122970236043158
0.691.527073042603670.0121921918733391
0.71.529745035270060.0122673617015512
0.711.532481570794440.0125046112952429
0.721.535316076058620.0128760117626343
0.731.53827644673850.0133464058163547
0.741.541383071685260.0138781147500357
0.751.544646504406510.0144237941304406
0.761.548064612417090.0149321200073905
0.771.551619471018430.0153356312731589
0.781.555274937858860.0155535174102548
0.791.558976489489570.0155077568576159
0.81.562655101876060.0151336401184328
0.811.566236302928880.0144099475062074
0.821.569653879361200.0133809875172739
0.831.572865455341630.0121621269232172
0.841.575865200930530.0109286308392874
0.851.578688478228240.009880733324755
0.861.581405210448030.00918021593031436
0.871.584103121435580.00887779161544616
0.881.586867254426030.00888866149707163
0.891.589765463843580.00904930307763467
0.91.592847599796390.00922378667187729
0.911.596157430402980.00938491461775885
0.921.599744523589060.00960090457382715
0.931.603658303080230.00991083268334457
0.941.607918663399650.0101708560576688
0.951.612480880363010.0100812843053898
0.961.617213160674810.00944681772914271
0.971.621859302041220.00829709413631416
0.981.625949287656220.00640238043527835
0.991.628806819811660.00322531677561047

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.32012433770808 & 0.000452173631395253 \tabularnewline
0.02 & 1.32062992693896 & 0.00167739434311284 \tabularnewline
0.03 & 1.32175968966966 & 0.00339064016158378 \tabularnewline
0.04 & 1.32356219736822 & 0.00493833777763292 \tabularnewline
0.05 & 1.32586453149205 & 0.00587415158350173 \tabularnewline
0.06 & 1.32838963168444 & 0.00618113934358409 \tabularnewline
0.07 & 1.33088930905102 & 0.00606403515860513 \tabularnewline
0.08 & 1.33320789206612 & 0.00571476912795799 \tabularnewline
0.09 & 1.33528336740425 & 0.00527296060130007 \tabularnewline
0.1 & 1.3371275925319 & 0.00490815103761987 \tabularnewline
0.11 & 1.33880820257253 & 0.00483949648264037 \tabularnewline
0.12 & 1.34043073095799 & 0.00523919176425323 \tabularnewline
0.13 & 1.34211457971955 & 0.00610860247912079 \tabularnewline
0.14 & 1.34396430837247 & 0.00727859859504087 \tabularnewline
0.15 & 1.34604449552653 & 0.00852101995658714 \tabularnewline
0.16 & 1.34836633804658 & 0.0096144971486408 \tabularnewline
0.17 & 1.35088921174762 & 0.010390554131561 \tabularnewline
0.18 & 1.35353486602117 & 0.0107575862749674 \tabularnewline
0.19 & 1.35620851965223 & 0.0107133007177526 \tabularnewline
0.2 & 1.35882048784315 & 0.0103288419031353 \tabularnewline
0.21 & 1.36130337899338 & 0.0097311317043279 \tabularnewline
0.22 & 1.36362220617330 & 0.00907200825569265 \tabularnewline
0.23 & 1.36577698394478 & 0.00850566080038864 \tabularnewline
0.24 & 1.36779897378179 & 0.00816740437289607 \tabularnewline
0.25 & 1.36974257311974 & 0.00814920659500631 \tabularnewline
0.26 & 1.37167505550034 & 0.00848721273766899 \tabularnewline
0.27 & 1.37366618403708 & 0.0091547967477816 \tabularnewline
0.28 & 1.37577931364576 & 0.0100844787803887 \tabularnewline
0.29 & 1.37806506941853 & 0.011191408906546 \tabularnewline
0.3 & 1.38055809783749 & 0.012390232227291 \tabularnewline
0.31 & 1.38327679625345 & 0.0136111347523127 \tabularnewline
0.32 & 1.38622541741665 & 0.0147998702546597 \tabularnewline
0.33 & 1.38939760872656 & 0.0159259206486621 \tabularnewline
0.34 & 1.39278034231161 & 0.0169762642898309 \tabularnewline
0.35 & 1.39635732964542 & 0.0179495845691041 \tabularnewline
0.36 & 1.40011133831489 & 0.0188508180753763 \tabularnewline
0.37 & 1.40402523667928 & 0.0196793689173256 \tabularnewline
0.38 & 1.40808196724557 & 0.0204333064032399 \tabularnewline
0.39 & 1.41226389609226 & 0.0211005331080408 \tabularnewline
0.4 & 1.41655205780244 & 0.0216654571651208 \tabularnewline
0.41 & 1.42092572613339 & 0.0221150780322406 \tabularnewline
0.42 & 1.42536254944156 & 0.0224381996130976 \tabularnewline
0.43 & 1.42983927485800 & 0.0226296806292039 \tabularnewline
0.44 & 1.43433291304178 & 0.0226959953358242 \tabularnewline
0.45 & 1.43882210095317 & 0.0226495303862529 \tabularnewline
0.46 & 1.443288403259 & 0.0225095712899146 \tabularnewline
0.47 & 1.44771732995662 & 0.0222964691571899 \tabularnewline
0.48 & 1.45209890942695 & 0.0220381273803912 \tabularnewline
0.49 & 1.45642772243137 & 0.0217585768666964 \tabularnewline
0.5 & 1.46070236758749 & 0.0214785108088721 \tabularnewline
0.51 & 1.46492439582488 & 0.0212122204647224 \tabularnewline
0.52 & 1.46909682336375 & 0.020965267758092 \tabularnewline
0.53 & 1.47322240558238 & 0.0207319902746779 \tabularnewline
0.54 & 1.47730191466385 & 0.0204957451312662 \tabularnewline
0.55 & 1.48133269483881 & 0.0202342053427092 \tabularnewline
0.56 & 1.48530775613636 & 0.0199224730765393 \tabularnewline
0.57 & 1.48921560577127 & 0.0195329127361954 \tabularnewline
0.58 & 1.49304091224360 & 0.0190473718224677 \tabularnewline
0.59 & 1.49676596777437 & 0.0184546838934781 \tabularnewline
0.6 & 1.50037278300030 & 0.0177579515588497 \tabularnewline
0.61 & 1.50384553836715 & 0.0169742919494668 \tabularnewline
0.62 & 1.50717305027593 & 0.0161339164002854 \tabularnewline
0.63 & 1.51035089978676 & 0.0152758631879938 \tabularnewline
0.64 & 1.51338291982201 & 0.0144467509064659 \tabularnewline
0.65 & 1.51628183408485 & 0.0136956195453015 \tabularnewline
0.66 & 1.51906896877815 & 0.0130657105852462 \tabularnewline
0.67 & 1.52177309339017 & 0.0125915800058277 \tabularnewline
0.68 & 1.52442856612864 & 0.0122970236043158 \tabularnewline
0.69 & 1.52707304260367 & 0.0121921918733391 \tabularnewline
0.7 & 1.52974503527006 & 0.0122673617015512 \tabularnewline
0.71 & 1.53248157079444 & 0.0125046112952429 \tabularnewline
0.72 & 1.53531607605862 & 0.0128760117626343 \tabularnewline
0.73 & 1.5382764467385 & 0.0133464058163547 \tabularnewline
0.74 & 1.54138307168526 & 0.0138781147500357 \tabularnewline
0.75 & 1.54464650440651 & 0.0144237941304406 \tabularnewline
0.76 & 1.54806461241709 & 0.0149321200073905 \tabularnewline
0.77 & 1.55161947101843 & 0.0153356312731589 \tabularnewline
0.78 & 1.55527493785886 & 0.0155535174102548 \tabularnewline
0.79 & 1.55897648948957 & 0.0155077568576159 \tabularnewline
0.8 & 1.56265510187606 & 0.0151336401184328 \tabularnewline
0.81 & 1.56623630292888 & 0.0144099475062074 \tabularnewline
0.82 & 1.56965387936120 & 0.0133809875172739 \tabularnewline
0.83 & 1.57286545534163 & 0.0121621269232172 \tabularnewline
0.84 & 1.57586520093053 & 0.0109286308392874 \tabularnewline
0.85 & 1.57868847822824 & 0.009880733324755 \tabularnewline
0.86 & 1.58140521044803 & 0.00918021593031436 \tabularnewline
0.87 & 1.58410312143558 & 0.00887779161544616 \tabularnewline
0.88 & 1.58686725442603 & 0.00888866149707163 \tabularnewline
0.89 & 1.58976546384358 & 0.00904930307763467 \tabularnewline
0.9 & 1.59284759979639 & 0.00922378667187729 \tabularnewline
0.91 & 1.59615743040298 & 0.00938491461775885 \tabularnewline
0.92 & 1.59974452358906 & 0.00960090457382715 \tabularnewline
0.93 & 1.60365830308023 & 0.00991083268334457 \tabularnewline
0.94 & 1.60791866339965 & 0.0101708560576688 \tabularnewline
0.95 & 1.61248088036301 & 0.0100812843053898 \tabularnewline
0.96 & 1.61721316067481 & 0.00944681772914271 \tabularnewline
0.97 & 1.62185930204122 & 0.00829709413631416 \tabularnewline
0.98 & 1.62594928765622 & 0.00640238043527835 \tabularnewline
0.99 & 1.62880681981166 & 0.00322531677561047 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=36760&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]1.32012433770808[/C][C]0.000452173631395253[/C][/ROW]
[ROW][C]0.02[/C][C]1.32062992693896[/C][C]0.00167739434311284[/C][/ROW]
[ROW][C]0.03[/C][C]1.32175968966966[/C][C]0.00339064016158378[/C][/ROW]
[ROW][C]0.04[/C][C]1.32356219736822[/C][C]0.00493833777763292[/C][/ROW]
[ROW][C]0.05[/C][C]1.32586453149205[/C][C]0.00587415158350173[/C][/ROW]
[ROW][C]0.06[/C][C]1.32838963168444[/C][C]0.00618113934358409[/C][/ROW]
[ROW][C]0.07[/C][C]1.33088930905102[/C][C]0.00606403515860513[/C][/ROW]
[ROW][C]0.08[/C][C]1.33320789206612[/C][C]0.00571476912795799[/C][/ROW]
[ROW][C]0.09[/C][C]1.33528336740425[/C][C]0.00527296060130007[/C][/ROW]
[ROW][C]0.1[/C][C]1.3371275925319[/C][C]0.00490815103761987[/C][/ROW]
[ROW][C]0.11[/C][C]1.33880820257253[/C][C]0.00483949648264037[/C][/ROW]
[ROW][C]0.12[/C][C]1.34043073095799[/C][C]0.00523919176425323[/C][/ROW]
[ROW][C]0.13[/C][C]1.34211457971955[/C][C]0.00610860247912079[/C][/ROW]
[ROW][C]0.14[/C][C]1.34396430837247[/C][C]0.00727859859504087[/C][/ROW]
[ROW][C]0.15[/C][C]1.34604449552653[/C][C]0.00852101995658714[/C][/ROW]
[ROW][C]0.16[/C][C]1.34836633804658[/C][C]0.0096144971486408[/C][/ROW]
[ROW][C]0.17[/C][C]1.35088921174762[/C][C]0.010390554131561[/C][/ROW]
[ROW][C]0.18[/C][C]1.35353486602117[/C][C]0.0107575862749674[/C][/ROW]
[ROW][C]0.19[/C][C]1.35620851965223[/C][C]0.0107133007177526[/C][/ROW]
[ROW][C]0.2[/C][C]1.35882048784315[/C][C]0.0103288419031353[/C][/ROW]
[ROW][C]0.21[/C][C]1.36130337899338[/C][C]0.0097311317043279[/C][/ROW]
[ROW][C]0.22[/C][C]1.36362220617330[/C][C]0.00907200825569265[/C][/ROW]
[ROW][C]0.23[/C][C]1.36577698394478[/C][C]0.00850566080038864[/C][/ROW]
[ROW][C]0.24[/C][C]1.36779897378179[/C][C]0.00816740437289607[/C][/ROW]
[ROW][C]0.25[/C][C]1.36974257311974[/C][C]0.00814920659500631[/C][/ROW]
[ROW][C]0.26[/C][C]1.37167505550034[/C][C]0.00848721273766899[/C][/ROW]
[ROW][C]0.27[/C][C]1.37366618403708[/C][C]0.0091547967477816[/C][/ROW]
[ROW][C]0.28[/C][C]1.37577931364576[/C][C]0.0100844787803887[/C][/ROW]
[ROW][C]0.29[/C][C]1.37806506941853[/C][C]0.011191408906546[/C][/ROW]
[ROW][C]0.3[/C][C]1.38055809783749[/C][C]0.012390232227291[/C][/ROW]
[ROW][C]0.31[/C][C]1.38327679625345[/C][C]0.0136111347523127[/C][/ROW]
[ROW][C]0.32[/C][C]1.38622541741665[/C][C]0.0147998702546597[/C][/ROW]
[ROW][C]0.33[/C][C]1.38939760872656[/C][C]0.0159259206486621[/C][/ROW]
[ROW][C]0.34[/C][C]1.39278034231161[/C][C]0.0169762642898309[/C][/ROW]
[ROW][C]0.35[/C][C]1.39635732964542[/C][C]0.0179495845691041[/C][/ROW]
[ROW][C]0.36[/C][C]1.40011133831489[/C][C]0.0188508180753763[/C][/ROW]
[ROW][C]0.37[/C][C]1.40402523667928[/C][C]0.0196793689173256[/C][/ROW]
[ROW][C]0.38[/C][C]1.40808196724557[/C][C]0.0204333064032399[/C][/ROW]
[ROW][C]0.39[/C][C]1.41226389609226[/C][C]0.0211005331080408[/C][/ROW]
[ROW][C]0.4[/C][C]1.41655205780244[/C][C]0.0216654571651208[/C][/ROW]
[ROW][C]0.41[/C][C]1.42092572613339[/C][C]0.0221150780322406[/C][/ROW]
[ROW][C]0.42[/C][C]1.42536254944156[/C][C]0.0224381996130976[/C][/ROW]
[ROW][C]0.43[/C][C]1.42983927485800[/C][C]0.0226296806292039[/C][/ROW]
[ROW][C]0.44[/C][C]1.43433291304178[/C][C]0.0226959953358242[/C][/ROW]
[ROW][C]0.45[/C][C]1.43882210095317[/C][C]0.0226495303862529[/C][/ROW]
[ROW][C]0.46[/C][C]1.443288403259[/C][C]0.0225095712899146[/C][/ROW]
[ROW][C]0.47[/C][C]1.44771732995662[/C][C]0.0222964691571899[/C][/ROW]
[ROW][C]0.48[/C][C]1.45209890942695[/C][C]0.0220381273803912[/C][/ROW]
[ROW][C]0.49[/C][C]1.45642772243137[/C][C]0.0217585768666964[/C][/ROW]
[ROW][C]0.5[/C][C]1.46070236758749[/C][C]0.0214785108088721[/C][/ROW]
[ROW][C]0.51[/C][C]1.46492439582488[/C][C]0.0212122204647224[/C][/ROW]
[ROW][C]0.52[/C][C]1.46909682336375[/C][C]0.020965267758092[/C][/ROW]
[ROW][C]0.53[/C][C]1.47322240558238[/C][C]0.0207319902746779[/C][/ROW]
[ROW][C]0.54[/C][C]1.47730191466385[/C][C]0.0204957451312662[/C][/ROW]
[ROW][C]0.55[/C][C]1.48133269483881[/C][C]0.0202342053427092[/C][/ROW]
[ROW][C]0.56[/C][C]1.48530775613636[/C][C]0.0199224730765393[/C][/ROW]
[ROW][C]0.57[/C][C]1.48921560577127[/C][C]0.0195329127361954[/C][/ROW]
[ROW][C]0.58[/C][C]1.49304091224360[/C][C]0.0190473718224677[/C][/ROW]
[ROW][C]0.59[/C][C]1.49676596777437[/C][C]0.0184546838934781[/C][/ROW]
[ROW][C]0.6[/C][C]1.50037278300030[/C][C]0.0177579515588497[/C][/ROW]
[ROW][C]0.61[/C][C]1.50384553836715[/C][C]0.0169742919494668[/C][/ROW]
[ROW][C]0.62[/C][C]1.50717305027593[/C][C]0.0161339164002854[/C][/ROW]
[ROW][C]0.63[/C][C]1.51035089978676[/C][C]0.0152758631879938[/C][/ROW]
[ROW][C]0.64[/C][C]1.51338291982201[/C][C]0.0144467509064659[/C][/ROW]
[ROW][C]0.65[/C][C]1.51628183408485[/C][C]0.0136956195453015[/C][/ROW]
[ROW][C]0.66[/C][C]1.51906896877815[/C][C]0.0130657105852462[/C][/ROW]
[ROW][C]0.67[/C][C]1.52177309339017[/C][C]0.0125915800058277[/C][/ROW]
[ROW][C]0.68[/C][C]1.52442856612864[/C][C]0.0122970236043158[/C][/ROW]
[ROW][C]0.69[/C][C]1.52707304260367[/C][C]0.0121921918733391[/C][/ROW]
[ROW][C]0.7[/C][C]1.52974503527006[/C][C]0.0122673617015512[/C][/ROW]
[ROW][C]0.71[/C][C]1.53248157079444[/C][C]0.0125046112952429[/C][/ROW]
[ROW][C]0.72[/C][C]1.53531607605862[/C][C]0.0128760117626343[/C][/ROW]
[ROW][C]0.73[/C][C]1.5382764467385[/C][C]0.0133464058163547[/C][/ROW]
[ROW][C]0.74[/C][C]1.54138307168526[/C][C]0.0138781147500357[/C][/ROW]
[ROW][C]0.75[/C][C]1.54464650440651[/C][C]0.0144237941304406[/C][/ROW]
[ROW][C]0.76[/C][C]1.54806461241709[/C][C]0.0149321200073905[/C][/ROW]
[ROW][C]0.77[/C][C]1.55161947101843[/C][C]0.0153356312731589[/C][/ROW]
[ROW][C]0.78[/C][C]1.55527493785886[/C][C]0.0155535174102548[/C][/ROW]
[ROW][C]0.79[/C][C]1.55897648948957[/C][C]0.0155077568576159[/C][/ROW]
[ROW][C]0.8[/C][C]1.56265510187606[/C][C]0.0151336401184328[/C][/ROW]
[ROW][C]0.81[/C][C]1.56623630292888[/C][C]0.0144099475062074[/C][/ROW]
[ROW][C]0.82[/C][C]1.56965387936120[/C][C]0.0133809875172739[/C][/ROW]
[ROW][C]0.83[/C][C]1.57286545534163[/C][C]0.0121621269232172[/C][/ROW]
[ROW][C]0.84[/C][C]1.57586520093053[/C][C]0.0109286308392874[/C][/ROW]
[ROW][C]0.85[/C][C]1.57868847822824[/C][C]0.009880733324755[/C][/ROW]
[ROW][C]0.86[/C][C]1.58140521044803[/C][C]0.00918021593031436[/C][/ROW]
[ROW][C]0.87[/C][C]1.58410312143558[/C][C]0.00887779161544616[/C][/ROW]
[ROW][C]0.88[/C][C]1.58686725442603[/C][C]0.00888866149707163[/C][/ROW]
[ROW][C]0.89[/C][C]1.58976546384358[/C][C]0.00904930307763467[/C][/ROW]
[ROW][C]0.9[/C][C]1.59284759979639[/C][C]0.00922378667187729[/C][/ROW]
[ROW][C]0.91[/C][C]1.59615743040298[/C][C]0.00938491461775885[/C][/ROW]
[ROW][C]0.92[/C][C]1.59974452358906[/C][C]0.00960090457382715[/C][/ROW]
[ROW][C]0.93[/C][C]1.60365830308023[/C][C]0.00991083268334457[/C][/ROW]
[ROW][C]0.94[/C][C]1.60791866339965[/C][C]0.0101708560576688[/C][/ROW]
[ROW][C]0.95[/C][C]1.61248088036301[/C][C]0.0100812843053898[/C][/ROW]
[ROW][C]0.96[/C][C]1.61721316067481[/C][C]0.00944681772914271[/C][/ROW]
[ROW][C]0.97[/C][C]1.62185930204122[/C][C]0.00829709413631416[/C][/ROW]
[ROW][C]0.98[/C][C]1.62594928765622[/C][C]0.00640238043527835[/C][/ROW]
[ROW][C]0.99[/C][C]1.62880681981166[/C][C]0.00322531677561047[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=36760&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=36760&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
0.011.320124337708080.000452173631395253
0.021.320629926938960.00167739434311284
0.031.321759689669660.00339064016158378
0.041.323562197368220.00493833777763292
0.051.325864531492050.00587415158350173
0.061.328389631684440.00618113934358409
0.071.330889309051020.00606403515860513
0.081.333207892066120.00571476912795799
0.091.335283367404250.00527296060130007
0.11.33712759253190.00490815103761987
0.111.338808202572530.00483949648264037
0.121.340430730957990.00523919176425323
0.131.342114579719550.00610860247912079
0.141.343964308372470.00727859859504087
0.151.346044495526530.00852101995658714
0.161.348366338046580.0096144971486408
0.171.350889211747620.010390554131561
0.181.353534866021170.0107575862749674
0.191.356208519652230.0107133007177526
0.21.358820487843150.0103288419031353
0.211.361303378993380.0097311317043279
0.221.363622206173300.00907200825569265
0.231.365776983944780.00850566080038864
0.241.367798973781790.00816740437289607
0.251.369742573119740.00814920659500631
0.261.371675055500340.00848721273766899
0.271.373666184037080.0091547967477816
0.281.375779313645760.0100844787803887
0.291.378065069418530.011191408906546
0.31.380558097837490.012390232227291
0.311.383276796253450.0136111347523127
0.321.386225417416650.0147998702546597
0.331.389397608726560.0159259206486621
0.341.392780342311610.0169762642898309
0.351.396357329645420.0179495845691041
0.361.400111338314890.0188508180753763
0.371.404025236679280.0196793689173256
0.381.408081967245570.0204333064032399
0.391.412263896092260.0211005331080408
0.41.416552057802440.0216654571651208
0.411.420925726133390.0221150780322406
0.421.425362549441560.0224381996130976
0.431.429839274858000.0226296806292039
0.441.434332913041780.0226959953358242
0.451.438822100953170.0226495303862529
0.461.4432884032590.0225095712899146
0.471.447717329956620.0222964691571899
0.481.452098909426950.0220381273803912
0.491.456427722431370.0217585768666964
0.51.460702367587490.0214785108088721
0.511.464924395824880.0212122204647224
0.521.469096823363750.020965267758092
0.531.473222405582380.0207319902746779
0.541.477301914663850.0204957451312662
0.551.481332694838810.0202342053427092
0.561.485307756136360.0199224730765393
0.571.489215605771270.0195329127361954
0.581.493040912243600.0190473718224677
0.591.496765967774370.0184546838934781
0.61.500372783000300.0177579515588497
0.611.503845538367150.0169742919494668
0.621.507173050275930.0161339164002854
0.631.510350899786760.0152758631879938
0.641.513382919822010.0144467509064659
0.651.516281834084850.0136956195453015
0.661.519068968778150.0130657105852462
0.671.521773093390170.0125915800058277
0.681.524428566128640.0122970236043158
0.691.527073042603670.0121921918733391
0.71.529745035270060.0122673617015512
0.711.532481570794440.0125046112952429
0.721.535316076058620.0128760117626343
0.731.53827644673850.0133464058163547
0.741.541383071685260.0138781147500357
0.751.544646504406510.0144237941304406
0.761.548064612417090.0149321200073905
0.771.551619471018430.0153356312731589
0.781.555274937858860.0155535174102548
0.791.558976489489570.0155077568576159
0.81.562655101876060.0151336401184328
0.811.566236302928880.0144099475062074
0.821.569653879361200.0133809875172739
0.831.572865455341630.0121621269232172
0.841.575865200930530.0109286308392874
0.851.578688478228240.009880733324755
0.861.581405210448030.00918021593031436
0.871.584103121435580.00887779161544616
0.881.586867254426030.00888866149707163
0.891.589765463843580.00904930307763467
0.91.592847599796390.00922378667187729
0.911.596157430402980.00938491461775885
0.921.599744523589060.00960090457382715
0.931.603658303080230.00991083268334457
0.941.607918663399650.0101708560576688
0.951.612480880363010.0100812843053898
0.961.617213160674810.00944681772914271
0.971.621859302041220.00829709413631416
0.981.625949287656220.00640238043527835
0.991.628806819811660.00322531677561047



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')