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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 22 Dec 2013 09:14:30 -0500
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/Dec/22/t138772177575yd5gvkdno2k7a.htm/, Retrieved Sun, 05 Dec 2021 18:03:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232527, Retrieved Sun, 05 Dec 2021 18:03:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact77
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2013-12-22 14:14:30] [20efb5145ec2a2ddd8dcd418764211fa] [Current]
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Dataseries X:
2.17
2.17
2.08
2.12
2.18
2.13
2.21
2.06
1.91
1.99
2.04
2.02
2.01
2.1
2.01
2.07
2.05
2.1
2.15
2.15
1.96
2.06
2.07
2.05
2.08
2.14
2.16
2.35
2.31
2.2
2.3
2.22
2.14
2.17
2.12
2.1
2.17
2.29
2.17
2.25
2.13
2.23
2.17
2.24
2.13
2.16
2.1
2.05
2.03
2.24
2.17
2.13
2.21
2.18
2.21
2.23
2.09
2.16
2.13
2.12
2.04
2.2
2.16
2.14
2.18
2.08
2.1
2.04
1.98
1.99
1.99
2
2.02
2.02
2.03
1.96
1.95
1.94
1.96
2
1.88
1.98
1.99
1.96




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gwilym Jenkins' @ jenkins.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 & 3 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232527&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232527&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232527&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 time3 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.892518822078260.028322959363384
0.021.910714004875980.026068841148337
0.031.927424372635060.0219431993873843
0.041.940116768127610.0169880429683749
0.051.94910261285950.0129751068603349
0.061.955525650084180.0107898093263805
0.071.960495574592430.0103983394336887
0.081.964816908881910.0110958748558642
0.091.968945991806420.0120334978102137
0.11.973051313416120.0126509439259236
0.111.977121514540740.0127631380505069
0.121.981077090462610.0124811700375334
0.131.984852358539650.0120621847910718
0.141.988433302571180.0117708458262855
0.151.991856656208670.0117603127307576
0.161.995187096902550.0120385516356162
0.171.998490385105430.0125147432229424
0.182.0018142685710.0130592854763352
0.192.005181181394260.0135668057745005
0.22.008590882744610.0139746504312594
0.212.012028498948060.0142634791241725
0.222.015473486124760.0144492197844652
0.232.018906593364930.014555999982297
0.242.022313779904780.0146175191359435
0.252.025687446651340.0146583312510955
0.262.029025998763810.0146952663970803
0.272.032332754458640.0147495067540696
0.282.03561483935250.0148328063597748
0.292.038882258843380.0149598226481131
0.32.04214703429670.0151400485549938
0.312.045422199999560.0153825981806352
0.322.048720550104070.0156824817323446
0.332.052053198855670.0160273109547562
0.342.055428169521540.0163968246345667
0.352.058849290741120.016763930003806
0.362.062315638594730.0171009320699645
0.372.065821646410480.0173858648002739
0.382.069357860153190.0176039069484999
0.392.072912189704870.0177425307653689
0.42.076471422109930.0178004656156032
0.412.080022728688090.0177859601424891
0.422.083554908228120.0177110959798663
0.432.087059155535040.0175940741446576
0.442.090529224417610.0174502755200137
0.452.093960964688050.0172908517625336
0.462.097351346026750.0171164615209957
0.472.100697216416360.016928874870008
0.482.10399414393420.0167091195144477
0.492.1072357178170.0164467114422657
0.52.110413609563230.0161208184350724
0.512.113518517616050.0157276757136472
0.522.116541876298510.0152705762168796
0.532.119477967090690.01477120120648
0.542.122325903397950.0142617051204913
0.552.125090927290570.0137899292951951
0.562.127784578466880.0133922884546306
0.572.130423545010120.0131020202726812
0.582.133027316261080.0129315525311564
0.592.135615046052140.0128698572944605
0.62.13820222358440.0128871465930999
0.612.140797794015090.012933814033056
0.622.14340226842260.0129594619590269
0.632.146007150936230.0129120510643275
0.642.148595754031280.0127526231337752
0.652.151145241613830.012457766769986
0.662.153629587420570.0120174470388963
0.672.156023084184250.0114444215237415
0.682.158304068985780.0107655172395773
0.692.160458593933480.0100229551698944
0.72.162483811025990.00927358827389324
0.712.164390815140410.00858553816732839
0.722.166206597773810.0080373438630749
0.732.167974650411780.00771176081416806
0.742.169753697570610.00768688417958659
0.752.171614119349920.00801498578552521
0.762.173631900629250.0087034787391848
0.772.175880427855020.00970589307280962
0.782.17842108772170.0109264792112646
0.792.181294271621660.0122381789529027
0.82.184512842831870.0134988625111149
0.812.188060111683920.0145694334297059
0.822.191893648786840.0153451418535935
0.832.195954805292770.0157750068859547
0.842.200181957474910.0158768331104564
0.852.204524098179730.0157311036241954
0.862.2089515914310.0154552325325366
0.872.213463465022790.0151589843914879
0.882.218094986672780.0149335215821578
0.892.222932683032040.0148751548676977
0.92.228141460627760.0151595437760212
0.912.233995212967440.0161108817512635
0.922.240879542188880.0181001997321266
0.932.249219755259970.0211670770690148
0.942.259316229071230.0245900646920065
0.952.271180134755430.0269048284370492
0.962.284616240766440.0267787289822395
0.972.299726828397540.0247341797951866
0.982.317167780636850.0249079909958307
0.992.336105223895720.0315300811222246

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.89251882207826 & 0.028322959363384 \tabularnewline
0.02 & 1.91071400487598 & 0.026068841148337 \tabularnewline
0.03 & 1.92742437263506 & 0.0219431993873843 \tabularnewline
0.04 & 1.94011676812761 & 0.0169880429683749 \tabularnewline
0.05 & 1.9491026128595 & 0.0129751068603349 \tabularnewline
0.06 & 1.95552565008418 & 0.0107898093263805 \tabularnewline
0.07 & 1.96049557459243 & 0.0103983394336887 \tabularnewline
0.08 & 1.96481690888191 & 0.0110958748558642 \tabularnewline
0.09 & 1.96894599180642 & 0.0120334978102137 \tabularnewline
0.1 & 1.97305131341612 & 0.0126509439259236 \tabularnewline
0.11 & 1.97712151454074 & 0.0127631380505069 \tabularnewline
0.12 & 1.98107709046261 & 0.0124811700375334 \tabularnewline
0.13 & 1.98485235853965 & 0.0120621847910718 \tabularnewline
0.14 & 1.98843330257118 & 0.0117708458262855 \tabularnewline
0.15 & 1.99185665620867 & 0.0117603127307576 \tabularnewline
0.16 & 1.99518709690255 & 0.0120385516356162 \tabularnewline
0.17 & 1.99849038510543 & 0.0125147432229424 \tabularnewline
0.18 & 2.001814268571 & 0.0130592854763352 \tabularnewline
0.19 & 2.00518118139426 & 0.0135668057745005 \tabularnewline
0.2 & 2.00859088274461 & 0.0139746504312594 \tabularnewline
0.21 & 2.01202849894806 & 0.0142634791241725 \tabularnewline
0.22 & 2.01547348612476 & 0.0144492197844652 \tabularnewline
0.23 & 2.01890659336493 & 0.014555999982297 \tabularnewline
0.24 & 2.02231377990478 & 0.0146175191359435 \tabularnewline
0.25 & 2.02568744665134 & 0.0146583312510955 \tabularnewline
0.26 & 2.02902599876381 & 0.0146952663970803 \tabularnewline
0.27 & 2.03233275445864 & 0.0147495067540696 \tabularnewline
0.28 & 2.0356148393525 & 0.0148328063597748 \tabularnewline
0.29 & 2.03888225884338 & 0.0149598226481131 \tabularnewline
0.3 & 2.0421470342967 & 0.0151400485549938 \tabularnewline
0.31 & 2.04542219999956 & 0.0153825981806352 \tabularnewline
0.32 & 2.04872055010407 & 0.0156824817323446 \tabularnewline
0.33 & 2.05205319885567 & 0.0160273109547562 \tabularnewline
0.34 & 2.05542816952154 & 0.0163968246345667 \tabularnewline
0.35 & 2.05884929074112 & 0.016763930003806 \tabularnewline
0.36 & 2.06231563859473 & 0.0171009320699645 \tabularnewline
0.37 & 2.06582164641048 & 0.0173858648002739 \tabularnewline
0.38 & 2.06935786015319 & 0.0176039069484999 \tabularnewline
0.39 & 2.07291218970487 & 0.0177425307653689 \tabularnewline
0.4 & 2.07647142210993 & 0.0178004656156032 \tabularnewline
0.41 & 2.08002272868809 & 0.0177859601424891 \tabularnewline
0.42 & 2.08355490822812 & 0.0177110959798663 \tabularnewline
0.43 & 2.08705915553504 & 0.0175940741446576 \tabularnewline
0.44 & 2.09052922441761 & 0.0174502755200137 \tabularnewline
0.45 & 2.09396096468805 & 0.0172908517625336 \tabularnewline
0.46 & 2.09735134602675 & 0.0171164615209957 \tabularnewline
0.47 & 2.10069721641636 & 0.016928874870008 \tabularnewline
0.48 & 2.1039941439342 & 0.0167091195144477 \tabularnewline
0.49 & 2.107235717817 & 0.0164467114422657 \tabularnewline
0.5 & 2.11041360956323 & 0.0161208184350724 \tabularnewline
0.51 & 2.11351851761605 & 0.0157276757136472 \tabularnewline
0.52 & 2.11654187629851 & 0.0152705762168796 \tabularnewline
0.53 & 2.11947796709069 & 0.01477120120648 \tabularnewline
0.54 & 2.12232590339795 & 0.0142617051204913 \tabularnewline
0.55 & 2.12509092729057 & 0.0137899292951951 \tabularnewline
0.56 & 2.12778457846688 & 0.0133922884546306 \tabularnewline
0.57 & 2.13042354501012 & 0.0131020202726812 \tabularnewline
0.58 & 2.13302731626108 & 0.0129315525311564 \tabularnewline
0.59 & 2.13561504605214 & 0.0128698572944605 \tabularnewline
0.6 & 2.1382022235844 & 0.0128871465930999 \tabularnewline
0.61 & 2.14079779401509 & 0.012933814033056 \tabularnewline
0.62 & 2.1434022684226 & 0.0129594619590269 \tabularnewline
0.63 & 2.14600715093623 & 0.0129120510643275 \tabularnewline
0.64 & 2.14859575403128 & 0.0127526231337752 \tabularnewline
0.65 & 2.15114524161383 & 0.012457766769986 \tabularnewline
0.66 & 2.15362958742057 & 0.0120174470388963 \tabularnewline
0.67 & 2.15602308418425 & 0.0114444215237415 \tabularnewline
0.68 & 2.15830406898578 & 0.0107655172395773 \tabularnewline
0.69 & 2.16045859393348 & 0.0100229551698944 \tabularnewline
0.7 & 2.16248381102599 & 0.00927358827389324 \tabularnewline
0.71 & 2.16439081514041 & 0.00858553816732839 \tabularnewline
0.72 & 2.16620659777381 & 0.0080373438630749 \tabularnewline
0.73 & 2.16797465041178 & 0.00771176081416806 \tabularnewline
0.74 & 2.16975369757061 & 0.00768688417958659 \tabularnewline
0.75 & 2.17161411934992 & 0.00801498578552521 \tabularnewline
0.76 & 2.17363190062925 & 0.0087034787391848 \tabularnewline
0.77 & 2.17588042785502 & 0.00970589307280962 \tabularnewline
0.78 & 2.1784210877217 & 0.0109264792112646 \tabularnewline
0.79 & 2.18129427162166 & 0.0122381789529027 \tabularnewline
0.8 & 2.18451284283187 & 0.0134988625111149 \tabularnewline
0.81 & 2.18806011168392 & 0.0145694334297059 \tabularnewline
0.82 & 2.19189364878684 & 0.0153451418535935 \tabularnewline
0.83 & 2.19595480529277 & 0.0157750068859547 \tabularnewline
0.84 & 2.20018195747491 & 0.0158768331104564 \tabularnewline
0.85 & 2.20452409817973 & 0.0157311036241954 \tabularnewline
0.86 & 2.208951591431 & 0.0154552325325366 \tabularnewline
0.87 & 2.21346346502279 & 0.0151589843914879 \tabularnewline
0.88 & 2.21809498667278 & 0.0149335215821578 \tabularnewline
0.89 & 2.22293268303204 & 0.0148751548676977 \tabularnewline
0.9 & 2.22814146062776 & 0.0151595437760212 \tabularnewline
0.91 & 2.23399521296744 & 0.0161108817512635 \tabularnewline
0.92 & 2.24087954218888 & 0.0181001997321266 \tabularnewline
0.93 & 2.24921975525997 & 0.0211670770690148 \tabularnewline
0.94 & 2.25931622907123 & 0.0245900646920065 \tabularnewline
0.95 & 2.27118013475543 & 0.0269048284370492 \tabularnewline
0.96 & 2.28461624076644 & 0.0267787289822395 \tabularnewline
0.97 & 2.29972682839754 & 0.0247341797951866 \tabularnewline
0.98 & 2.31716778063685 & 0.0249079909958307 \tabularnewline
0.99 & 2.33610522389572 & 0.0315300811222246 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232527&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]1.89251882207826[/C][C]0.028322959363384[/C][/ROW]
[ROW][C]0.02[/C][C]1.91071400487598[/C][C]0.026068841148337[/C][/ROW]
[ROW][C]0.03[/C][C]1.92742437263506[/C][C]0.0219431993873843[/C][/ROW]
[ROW][C]0.04[/C][C]1.94011676812761[/C][C]0.0169880429683749[/C][/ROW]
[ROW][C]0.05[/C][C]1.9491026128595[/C][C]0.0129751068603349[/C][/ROW]
[ROW][C]0.06[/C][C]1.95552565008418[/C][C]0.0107898093263805[/C][/ROW]
[ROW][C]0.07[/C][C]1.96049557459243[/C][C]0.0103983394336887[/C][/ROW]
[ROW][C]0.08[/C][C]1.96481690888191[/C][C]0.0110958748558642[/C][/ROW]
[ROW][C]0.09[/C][C]1.96894599180642[/C][C]0.0120334978102137[/C][/ROW]
[ROW][C]0.1[/C][C]1.97305131341612[/C][C]0.0126509439259236[/C][/ROW]
[ROW][C]0.11[/C][C]1.97712151454074[/C][C]0.0127631380505069[/C][/ROW]
[ROW][C]0.12[/C][C]1.98107709046261[/C][C]0.0124811700375334[/C][/ROW]
[ROW][C]0.13[/C][C]1.98485235853965[/C][C]0.0120621847910718[/C][/ROW]
[ROW][C]0.14[/C][C]1.98843330257118[/C][C]0.0117708458262855[/C][/ROW]
[ROW][C]0.15[/C][C]1.99185665620867[/C][C]0.0117603127307576[/C][/ROW]
[ROW][C]0.16[/C][C]1.99518709690255[/C][C]0.0120385516356162[/C][/ROW]
[ROW][C]0.17[/C][C]1.99849038510543[/C][C]0.0125147432229424[/C][/ROW]
[ROW][C]0.18[/C][C]2.001814268571[/C][C]0.0130592854763352[/C][/ROW]
[ROW][C]0.19[/C][C]2.00518118139426[/C][C]0.0135668057745005[/C][/ROW]
[ROW][C]0.2[/C][C]2.00859088274461[/C][C]0.0139746504312594[/C][/ROW]
[ROW][C]0.21[/C][C]2.01202849894806[/C][C]0.0142634791241725[/C][/ROW]
[ROW][C]0.22[/C][C]2.01547348612476[/C][C]0.0144492197844652[/C][/ROW]
[ROW][C]0.23[/C][C]2.01890659336493[/C][C]0.014555999982297[/C][/ROW]
[ROW][C]0.24[/C][C]2.02231377990478[/C][C]0.0146175191359435[/C][/ROW]
[ROW][C]0.25[/C][C]2.02568744665134[/C][C]0.0146583312510955[/C][/ROW]
[ROW][C]0.26[/C][C]2.02902599876381[/C][C]0.0146952663970803[/C][/ROW]
[ROW][C]0.27[/C][C]2.03233275445864[/C][C]0.0147495067540696[/C][/ROW]
[ROW][C]0.28[/C][C]2.0356148393525[/C][C]0.0148328063597748[/C][/ROW]
[ROW][C]0.29[/C][C]2.03888225884338[/C][C]0.0149598226481131[/C][/ROW]
[ROW][C]0.3[/C][C]2.0421470342967[/C][C]0.0151400485549938[/C][/ROW]
[ROW][C]0.31[/C][C]2.04542219999956[/C][C]0.0153825981806352[/C][/ROW]
[ROW][C]0.32[/C][C]2.04872055010407[/C][C]0.0156824817323446[/C][/ROW]
[ROW][C]0.33[/C][C]2.05205319885567[/C][C]0.0160273109547562[/C][/ROW]
[ROW][C]0.34[/C][C]2.05542816952154[/C][C]0.0163968246345667[/C][/ROW]
[ROW][C]0.35[/C][C]2.05884929074112[/C][C]0.016763930003806[/C][/ROW]
[ROW][C]0.36[/C][C]2.06231563859473[/C][C]0.0171009320699645[/C][/ROW]
[ROW][C]0.37[/C][C]2.06582164641048[/C][C]0.0173858648002739[/C][/ROW]
[ROW][C]0.38[/C][C]2.06935786015319[/C][C]0.0176039069484999[/C][/ROW]
[ROW][C]0.39[/C][C]2.07291218970487[/C][C]0.0177425307653689[/C][/ROW]
[ROW][C]0.4[/C][C]2.07647142210993[/C][C]0.0178004656156032[/C][/ROW]
[ROW][C]0.41[/C][C]2.08002272868809[/C][C]0.0177859601424891[/C][/ROW]
[ROW][C]0.42[/C][C]2.08355490822812[/C][C]0.0177110959798663[/C][/ROW]
[ROW][C]0.43[/C][C]2.08705915553504[/C][C]0.0175940741446576[/C][/ROW]
[ROW][C]0.44[/C][C]2.09052922441761[/C][C]0.0174502755200137[/C][/ROW]
[ROW][C]0.45[/C][C]2.09396096468805[/C][C]0.0172908517625336[/C][/ROW]
[ROW][C]0.46[/C][C]2.09735134602675[/C][C]0.0171164615209957[/C][/ROW]
[ROW][C]0.47[/C][C]2.10069721641636[/C][C]0.016928874870008[/C][/ROW]
[ROW][C]0.48[/C][C]2.1039941439342[/C][C]0.0167091195144477[/C][/ROW]
[ROW][C]0.49[/C][C]2.107235717817[/C][C]0.0164467114422657[/C][/ROW]
[ROW][C]0.5[/C][C]2.11041360956323[/C][C]0.0161208184350724[/C][/ROW]
[ROW][C]0.51[/C][C]2.11351851761605[/C][C]0.0157276757136472[/C][/ROW]
[ROW][C]0.52[/C][C]2.11654187629851[/C][C]0.0152705762168796[/C][/ROW]
[ROW][C]0.53[/C][C]2.11947796709069[/C][C]0.01477120120648[/C][/ROW]
[ROW][C]0.54[/C][C]2.12232590339795[/C][C]0.0142617051204913[/C][/ROW]
[ROW][C]0.55[/C][C]2.12509092729057[/C][C]0.0137899292951951[/C][/ROW]
[ROW][C]0.56[/C][C]2.12778457846688[/C][C]0.0133922884546306[/C][/ROW]
[ROW][C]0.57[/C][C]2.13042354501012[/C][C]0.0131020202726812[/C][/ROW]
[ROW][C]0.58[/C][C]2.13302731626108[/C][C]0.0129315525311564[/C][/ROW]
[ROW][C]0.59[/C][C]2.13561504605214[/C][C]0.0128698572944605[/C][/ROW]
[ROW][C]0.6[/C][C]2.1382022235844[/C][C]0.0128871465930999[/C][/ROW]
[ROW][C]0.61[/C][C]2.14079779401509[/C][C]0.012933814033056[/C][/ROW]
[ROW][C]0.62[/C][C]2.1434022684226[/C][C]0.0129594619590269[/C][/ROW]
[ROW][C]0.63[/C][C]2.14600715093623[/C][C]0.0129120510643275[/C][/ROW]
[ROW][C]0.64[/C][C]2.14859575403128[/C][C]0.0127526231337752[/C][/ROW]
[ROW][C]0.65[/C][C]2.15114524161383[/C][C]0.012457766769986[/C][/ROW]
[ROW][C]0.66[/C][C]2.15362958742057[/C][C]0.0120174470388963[/C][/ROW]
[ROW][C]0.67[/C][C]2.15602308418425[/C][C]0.0114444215237415[/C][/ROW]
[ROW][C]0.68[/C][C]2.15830406898578[/C][C]0.0107655172395773[/C][/ROW]
[ROW][C]0.69[/C][C]2.16045859393348[/C][C]0.0100229551698944[/C][/ROW]
[ROW][C]0.7[/C][C]2.16248381102599[/C][C]0.00927358827389324[/C][/ROW]
[ROW][C]0.71[/C][C]2.16439081514041[/C][C]0.00858553816732839[/C][/ROW]
[ROW][C]0.72[/C][C]2.16620659777381[/C][C]0.0080373438630749[/C][/ROW]
[ROW][C]0.73[/C][C]2.16797465041178[/C][C]0.00771176081416806[/C][/ROW]
[ROW][C]0.74[/C][C]2.16975369757061[/C][C]0.00768688417958659[/C][/ROW]
[ROW][C]0.75[/C][C]2.17161411934992[/C][C]0.00801498578552521[/C][/ROW]
[ROW][C]0.76[/C][C]2.17363190062925[/C][C]0.0087034787391848[/C][/ROW]
[ROW][C]0.77[/C][C]2.17588042785502[/C][C]0.00970589307280962[/C][/ROW]
[ROW][C]0.78[/C][C]2.1784210877217[/C][C]0.0109264792112646[/C][/ROW]
[ROW][C]0.79[/C][C]2.18129427162166[/C][C]0.0122381789529027[/C][/ROW]
[ROW][C]0.8[/C][C]2.18451284283187[/C][C]0.0134988625111149[/C][/ROW]
[ROW][C]0.81[/C][C]2.18806011168392[/C][C]0.0145694334297059[/C][/ROW]
[ROW][C]0.82[/C][C]2.19189364878684[/C][C]0.0153451418535935[/C][/ROW]
[ROW][C]0.83[/C][C]2.19595480529277[/C][C]0.0157750068859547[/C][/ROW]
[ROW][C]0.84[/C][C]2.20018195747491[/C][C]0.0158768331104564[/C][/ROW]
[ROW][C]0.85[/C][C]2.20452409817973[/C][C]0.0157311036241954[/C][/ROW]
[ROW][C]0.86[/C][C]2.208951591431[/C][C]0.0154552325325366[/C][/ROW]
[ROW][C]0.87[/C][C]2.21346346502279[/C][C]0.0151589843914879[/C][/ROW]
[ROW][C]0.88[/C][C]2.21809498667278[/C][C]0.0149335215821578[/C][/ROW]
[ROW][C]0.89[/C][C]2.22293268303204[/C][C]0.0148751548676977[/C][/ROW]
[ROW][C]0.9[/C][C]2.22814146062776[/C][C]0.0151595437760212[/C][/ROW]
[ROW][C]0.91[/C][C]2.23399521296744[/C][C]0.0161108817512635[/C][/ROW]
[ROW][C]0.92[/C][C]2.24087954218888[/C][C]0.0181001997321266[/C][/ROW]
[ROW][C]0.93[/C][C]2.24921975525997[/C][C]0.0211670770690148[/C][/ROW]
[ROW][C]0.94[/C][C]2.25931622907123[/C][C]0.0245900646920065[/C][/ROW]
[ROW][C]0.95[/C][C]2.27118013475543[/C][C]0.0269048284370492[/C][/ROW]
[ROW][C]0.96[/C][C]2.28461624076644[/C][C]0.0267787289822395[/C][/ROW]
[ROW][C]0.97[/C][C]2.29972682839754[/C][C]0.0247341797951866[/C][/ROW]
[ROW][C]0.98[/C][C]2.31716778063685[/C][C]0.0249079909958307[/C][/ROW]
[ROW][C]0.99[/C][C]2.33610522389572[/C][C]0.0315300811222246[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232527&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232527&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
0.011.892518822078260.028322959363384
0.021.910714004875980.026068841148337
0.031.927424372635060.0219431993873843
0.041.940116768127610.0169880429683749
0.051.94910261285950.0129751068603349
0.061.955525650084180.0107898093263805
0.071.960495574592430.0103983394336887
0.081.964816908881910.0110958748558642
0.091.968945991806420.0120334978102137
0.11.973051313416120.0126509439259236
0.111.977121514540740.0127631380505069
0.121.981077090462610.0124811700375334
0.131.984852358539650.0120621847910718
0.141.988433302571180.0117708458262855
0.151.991856656208670.0117603127307576
0.161.995187096902550.0120385516356162
0.171.998490385105430.0125147432229424
0.182.0018142685710.0130592854763352
0.192.005181181394260.0135668057745005
0.22.008590882744610.0139746504312594
0.212.012028498948060.0142634791241725
0.222.015473486124760.0144492197844652
0.232.018906593364930.014555999982297
0.242.022313779904780.0146175191359435
0.252.025687446651340.0146583312510955
0.262.029025998763810.0146952663970803
0.272.032332754458640.0147495067540696
0.282.03561483935250.0148328063597748
0.292.038882258843380.0149598226481131
0.32.04214703429670.0151400485549938
0.312.045422199999560.0153825981806352
0.322.048720550104070.0156824817323446
0.332.052053198855670.0160273109547562
0.342.055428169521540.0163968246345667
0.352.058849290741120.016763930003806
0.362.062315638594730.0171009320699645
0.372.065821646410480.0173858648002739
0.382.069357860153190.0176039069484999
0.392.072912189704870.0177425307653689
0.42.076471422109930.0178004656156032
0.412.080022728688090.0177859601424891
0.422.083554908228120.0177110959798663
0.432.087059155535040.0175940741446576
0.442.090529224417610.0174502755200137
0.452.093960964688050.0172908517625336
0.462.097351346026750.0171164615209957
0.472.100697216416360.016928874870008
0.482.10399414393420.0167091195144477
0.492.1072357178170.0164467114422657
0.52.110413609563230.0161208184350724
0.512.113518517616050.0157276757136472
0.522.116541876298510.0152705762168796
0.532.119477967090690.01477120120648
0.542.122325903397950.0142617051204913
0.552.125090927290570.0137899292951951
0.562.127784578466880.0133922884546306
0.572.130423545010120.0131020202726812
0.582.133027316261080.0129315525311564
0.592.135615046052140.0128698572944605
0.62.13820222358440.0128871465930999
0.612.140797794015090.012933814033056
0.622.14340226842260.0129594619590269
0.632.146007150936230.0129120510643275
0.642.148595754031280.0127526231337752
0.652.151145241613830.012457766769986
0.662.153629587420570.0120174470388963
0.672.156023084184250.0114444215237415
0.682.158304068985780.0107655172395773
0.692.160458593933480.0100229551698944
0.72.162483811025990.00927358827389324
0.712.164390815140410.00858553816732839
0.722.166206597773810.0080373438630749
0.732.167974650411780.00771176081416806
0.742.169753697570610.00768688417958659
0.752.171614119349920.00801498578552521
0.762.173631900629250.0087034787391848
0.772.175880427855020.00970589307280962
0.782.17842108772170.0109264792112646
0.792.181294271621660.0122381789529027
0.82.184512842831870.0134988625111149
0.812.188060111683920.0145694334297059
0.822.191893648786840.0153451418535935
0.832.195954805292770.0157750068859547
0.842.200181957474910.0158768331104564
0.852.204524098179730.0157311036241954
0.862.2089515914310.0154552325325366
0.872.213463465022790.0151589843914879
0.882.218094986672780.0149335215821578
0.892.222932683032040.0148751548676977
0.92.228141460627760.0151595437760212
0.912.233995212967440.0161108817512635
0.922.240879542188880.0181001997321266
0.932.249219755259970.0211670770690148
0.942.259316229071230.0245900646920065
0.952.271180134755430.0269048284370492
0.962.284616240766440.0267787289822395
0.972.299726828397540.0247341797951866
0.982.317167780636850.0249079909958307
0.992.336105223895720.0315300811222246



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')