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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 27 Mar 2009 02:15:48 -0600
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/Mar/27/t1238141826vtkk27jcppyrejj.htm/, Retrieved Wed, 24 Apr 2024 12:14:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39213, Retrieved Wed, 24 Apr 2024 12:14:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact196
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2009-03-27 08:15:48] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
1.73
1.75
1.75
1.75
1.73
1.74
1.75
1.75
1.34
1.24
1.24
1.26
1.25
1.26
1.26
1.22
1.01
1.03
1.01
1.01
1
0.98
1
1.01
1
1
1
1.03
1.26
1.43
1.61
1.76
1.93
2.16
2.28
2.5
2.63
2.79
3
3.04
3.26
3.5
3.62
3.78
4
4.16
4.29
4.49
4.59
4.79
4.94
4.99
5.24
5.25
5.25
5.25
5.25
5.24
5.25
5.26
5.26
5.25
5.25
5.25
5.26
5.02
4.94
4.76
4.49
4.24
3.94
2.98
2.61
2.28
1.98
2
2.01
2
1.81
0.97
0.39
0.16
0.15
0.22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39213&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39213&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39213&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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.1717580588104520.0605805619592288
0.020.2328267027331370.159945048516640
0.030.3378136897188840.260661848755532
0.040.473742359171480.316482692340209
0.050.6168402559408370.310164923696107
0.060.7444655546263270.256590102092601
0.070.843541153082710.184683144466031
0.080.9119096039929860.118545890080496
0.090.9547215617645890.0697650904100954
0.10.9797725740432980.0396157863476157
0.110.994296357756220.0248399504312103
0.121.003687571246240.021776326648167
0.131.011502576587020.0264349895968244
0.141.019943197816280.0355611785055273
0.151.030332594909000.0474670301520158
0.161.043414962669070.0608969522920807
0.171.059497759968670.0745114691684328
0.181.078518239360200.0869431782713023
0.191.100109041888470.0970644544504276
0.21.123702666416400.104296007116207
0.211.148675978323630.108806226266166
0.221.174506905820910.111526345874432
0.231.200902795995420.113981317747320
0.241.227864548805030.117865971242430
0.251.255668402370830.124522349644961
0.261.284770578202000.134432658924318
0.271.315660886387630.147056822488423
0.281.348703850365270.161005886186909
0.291.384007336912550.174429669459977
0.31.421349880659190.185431825582093
0.311.460182200387890.192431242406097
0.321.499700374362790.194442990331227
0.331.538972295397260.191240825571842
0.341.577088825516950.183382839290953
0.351.613308261570730.172102299093327
0.361.647167127137070.159105686580578
0.371.678540070854950.146310430166866
0.381.707643892529170.135592463870076
0.391.734992350936570.128521510959501
0.41.761316923841420.126126386128966
0.411.787472678754010.128756276922900
0.421.814347713429580.136139378653004
0.431.842790161758560.147630325096696
0.441.873560153064470.162488093079177
0.451.907307208518510.180042619136871
0.461.944567995929190.199764561467315
0.471.985776238925690.221239785357986
0.482.031276252596850.244124560494843
0.492.081333669450600.268084941385092
0.52.136140446616430.292752836299755
0.512.195814929994710.317699491102206
0.522.260400390454430.342470704682052
0.532.329866257436150.366622102283551
0.542.404115109438430.389786474285055
0.552.482995852531290.411706236233484
0.562.566320425638560.432266927373528
0.572.653878977448630.451454169092221
0.582.745447722923360.469290498305262
0.592.840785052844410.485750100425177
0.62.939614708313350.500665954318674
0.613.041599074215990.513671889520743
0.623.146309612101880.52420231707287
0.633.253203826819580.531573180130575
0.643.361618002640220.535091697439588
0.653.470782021064700.534210210729058
0.663.579857488958540.528663051497691
0.673.687994470963570.518553831298617
0.683.794396976638740.504377998876676
0.693.898384485080930.486947115194946
0.73.999437078756290.467275337326379
0.714.097215226534870.446427584332868
0.724.191551068202230.425308960250839
0.734.282414734208220.404590749631166
0.744.369865010631750.384608317853817
0.754.453996837353230.365396497337722
0.764.534897504523240.346764937220990
0.774.612618734241390.328442897315785
0.784.687164245436970.310171339868038
0.794.758484634768660.291798506696338
0.84.826467301505630.273215878849616
0.814.890912158741890.2542757930982
0.824.951494857666390.234645639676569
0.835.007734558310720.213790023254734
0.845.058994863641640.191104467640712
0.855.104545192623580.166228272821406
0.865.143690926705530.139382463971929
0.875.175949013378830.111549921598085
0.885.201216077929560.0843605459202446
0.895.21986639402260.0596897968429252
0.95.232737309673020.0391279726884938
0.915.241003311289150.0235535516628197
0.925.245984194413560.0129877421581786
0.935.248950960125320.0067751606212474
0.945.250972395293710.00406583331290172
0.955.252802931294170.00385055213332001
0.965.254794629673790.004376499301866
0.975.256862986916070.00424482041954007
0.985.258609301257450.00294514620566433
0.995.259655977127230.00110759514973650

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.171758058810452 & 0.0605805619592288 \tabularnewline
0.02 & 0.232826702733137 & 0.159945048516640 \tabularnewline
0.03 & 0.337813689718884 & 0.260661848755532 \tabularnewline
0.04 & 0.47374235917148 & 0.316482692340209 \tabularnewline
0.05 & 0.616840255940837 & 0.310164923696107 \tabularnewline
0.06 & 0.744465554626327 & 0.256590102092601 \tabularnewline
0.07 & 0.84354115308271 & 0.184683144466031 \tabularnewline
0.08 & 0.911909603992986 & 0.118545890080496 \tabularnewline
0.09 & 0.954721561764589 & 0.0697650904100954 \tabularnewline
0.1 & 0.979772574043298 & 0.0396157863476157 \tabularnewline
0.11 & 0.99429635775622 & 0.0248399504312103 \tabularnewline
0.12 & 1.00368757124624 & 0.021776326648167 \tabularnewline
0.13 & 1.01150257658702 & 0.0264349895968244 \tabularnewline
0.14 & 1.01994319781628 & 0.0355611785055273 \tabularnewline
0.15 & 1.03033259490900 & 0.0474670301520158 \tabularnewline
0.16 & 1.04341496266907 & 0.0608969522920807 \tabularnewline
0.17 & 1.05949775996867 & 0.0745114691684328 \tabularnewline
0.18 & 1.07851823936020 & 0.0869431782713023 \tabularnewline
0.19 & 1.10010904188847 & 0.0970644544504276 \tabularnewline
0.2 & 1.12370266641640 & 0.104296007116207 \tabularnewline
0.21 & 1.14867597832363 & 0.108806226266166 \tabularnewline
0.22 & 1.17450690582091 & 0.111526345874432 \tabularnewline
0.23 & 1.20090279599542 & 0.113981317747320 \tabularnewline
0.24 & 1.22786454880503 & 0.117865971242430 \tabularnewline
0.25 & 1.25566840237083 & 0.124522349644961 \tabularnewline
0.26 & 1.28477057820200 & 0.134432658924318 \tabularnewline
0.27 & 1.31566088638763 & 0.147056822488423 \tabularnewline
0.28 & 1.34870385036527 & 0.161005886186909 \tabularnewline
0.29 & 1.38400733691255 & 0.174429669459977 \tabularnewline
0.3 & 1.42134988065919 & 0.185431825582093 \tabularnewline
0.31 & 1.46018220038789 & 0.192431242406097 \tabularnewline
0.32 & 1.49970037436279 & 0.194442990331227 \tabularnewline
0.33 & 1.53897229539726 & 0.191240825571842 \tabularnewline
0.34 & 1.57708882551695 & 0.183382839290953 \tabularnewline
0.35 & 1.61330826157073 & 0.172102299093327 \tabularnewline
0.36 & 1.64716712713707 & 0.159105686580578 \tabularnewline
0.37 & 1.67854007085495 & 0.146310430166866 \tabularnewline
0.38 & 1.70764389252917 & 0.135592463870076 \tabularnewline
0.39 & 1.73499235093657 & 0.128521510959501 \tabularnewline
0.4 & 1.76131692384142 & 0.126126386128966 \tabularnewline
0.41 & 1.78747267875401 & 0.128756276922900 \tabularnewline
0.42 & 1.81434771342958 & 0.136139378653004 \tabularnewline
0.43 & 1.84279016175856 & 0.147630325096696 \tabularnewline
0.44 & 1.87356015306447 & 0.162488093079177 \tabularnewline
0.45 & 1.90730720851851 & 0.180042619136871 \tabularnewline
0.46 & 1.94456799592919 & 0.199764561467315 \tabularnewline
0.47 & 1.98577623892569 & 0.221239785357986 \tabularnewline
0.48 & 2.03127625259685 & 0.244124560494843 \tabularnewline
0.49 & 2.08133366945060 & 0.268084941385092 \tabularnewline
0.5 & 2.13614044661643 & 0.292752836299755 \tabularnewline
0.51 & 2.19581492999471 & 0.317699491102206 \tabularnewline
0.52 & 2.26040039045443 & 0.342470704682052 \tabularnewline
0.53 & 2.32986625743615 & 0.366622102283551 \tabularnewline
0.54 & 2.40411510943843 & 0.389786474285055 \tabularnewline
0.55 & 2.48299585253129 & 0.411706236233484 \tabularnewline
0.56 & 2.56632042563856 & 0.432266927373528 \tabularnewline
0.57 & 2.65387897744863 & 0.451454169092221 \tabularnewline
0.58 & 2.74544772292336 & 0.469290498305262 \tabularnewline
0.59 & 2.84078505284441 & 0.485750100425177 \tabularnewline
0.6 & 2.93961470831335 & 0.500665954318674 \tabularnewline
0.61 & 3.04159907421599 & 0.513671889520743 \tabularnewline
0.62 & 3.14630961210188 & 0.52420231707287 \tabularnewline
0.63 & 3.25320382681958 & 0.531573180130575 \tabularnewline
0.64 & 3.36161800264022 & 0.535091697439588 \tabularnewline
0.65 & 3.47078202106470 & 0.534210210729058 \tabularnewline
0.66 & 3.57985748895854 & 0.528663051497691 \tabularnewline
0.67 & 3.68799447096357 & 0.518553831298617 \tabularnewline
0.68 & 3.79439697663874 & 0.504377998876676 \tabularnewline
0.69 & 3.89838448508093 & 0.486947115194946 \tabularnewline
0.7 & 3.99943707875629 & 0.467275337326379 \tabularnewline
0.71 & 4.09721522653487 & 0.446427584332868 \tabularnewline
0.72 & 4.19155106820223 & 0.425308960250839 \tabularnewline
0.73 & 4.28241473420822 & 0.404590749631166 \tabularnewline
0.74 & 4.36986501063175 & 0.384608317853817 \tabularnewline
0.75 & 4.45399683735323 & 0.365396497337722 \tabularnewline
0.76 & 4.53489750452324 & 0.346764937220990 \tabularnewline
0.77 & 4.61261873424139 & 0.328442897315785 \tabularnewline
0.78 & 4.68716424543697 & 0.310171339868038 \tabularnewline
0.79 & 4.75848463476866 & 0.291798506696338 \tabularnewline
0.8 & 4.82646730150563 & 0.273215878849616 \tabularnewline
0.81 & 4.89091215874189 & 0.2542757930982 \tabularnewline
0.82 & 4.95149485766639 & 0.234645639676569 \tabularnewline
0.83 & 5.00773455831072 & 0.213790023254734 \tabularnewline
0.84 & 5.05899486364164 & 0.191104467640712 \tabularnewline
0.85 & 5.10454519262358 & 0.166228272821406 \tabularnewline
0.86 & 5.14369092670553 & 0.139382463971929 \tabularnewline
0.87 & 5.17594901337883 & 0.111549921598085 \tabularnewline
0.88 & 5.20121607792956 & 0.0843605459202446 \tabularnewline
0.89 & 5.2198663940226 & 0.0596897968429252 \tabularnewline
0.9 & 5.23273730967302 & 0.0391279726884938 \tabularnewline
0.91 & 5.24100331128915 & 0.0235535516628197 \tabularnewline
0.92 & 5.24598419441356 & 0.0129877421581786 \tabularnewline
0.93 & 5.24895096012532 & 0.0067751606212474 \tabularnewline
0.94 & 5.25097239529371 & 0.00406583331290172 \tabularnewline
0.95 & 5.25280293129417 & 0.00385055213332001 \tabularnewline
0.96 & 5.25479462967379 & 0.004376499301866 \tabularnewline
0.97 & 5.25686298691607 & 0.00424482041954007 \tabularnewline
0.98 & 5.25860930125745 & 0.00294514620566433 \tabularnewline
0.99 & 5.25965597712723 & 0.00110759514973650 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39213&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]0.171758058810452[/C][C]0.0605805619592288[/C][/ROW]
[ROW][C]0.02[/C][C]0.232826702733137[/C][C]0.159945048516640[/C][/ROW]
[ROW][C]0.03[/C][C]0.337813689718884[/C][C]0.260661848755532[/C][/ROW]
[ROW][C]0.04[/C][C]0.47374235917148[/C][C]0.316482692340209[/C][/ROW]
[ROW][C]0.05[/C][C]0.616840255940837[/C][C]0.310164923696107[/C][/ROW]
[ROW][C]0.06[/C][C]0.744465554626327[/C][C]0.256590102092601[/C][/ROW]
[ROW][C]0.07[/C][C]0.84354115308271[/C][C]0.184683144466031[/C][/ROW]
[ROW][C]0.08[/C][C]0.911909603992986[/C][C]0.118545890080496[/C][/ROW]
[ROW][C]0.09[/C][C]0.954721561764589[/C][C]0.0697650904100954[/C][/ROW]
[ROW][C]0.1[/C][C]0.979772574043298[/C][C]0.0396157863476157[/C][/ROW]
[ROW][C]0.11[/C][C]0.99429635775622[/C][C]0.0248399504312103[/C][/ROW]
[ROW][C]0.12[/C][C]1.00368757124624[/C][C]0.021776326648167[/C][/ROW]
[ROW][C]0.13[/C][C]1.01150257658702[/C][C]0.0264349895968244[/C][/ROW]
[ROW][C]0.14[/C][C]1.01994319781628[/C][C]0.0355611785055273[/C][/ROW]
[ROW][C]0.15[/C][C]1.03033259490900[/C][C]0.0474670301520158[/C][/ROW]
[ROW][C]0.16[/C][C]1.04341496266907[/C][C]0.0608969522920807[/C][/ROW]
[ROW][C]0.17[/C][C]1.05949775996867[/C][C]0.0745114691684328[/C][/ROW]
[ROW][C]0.18[/C][C]1.07851823936020[/C][C]0.0869431782713023[/C][/ROW]
[ROW][C]0.19[/C][C]1.10010904188847[/C][C]0.0970644544504276[/C][/ROW]
[ROW][C]0.2[/C][C]1.12370266641640[/C][C]0.104296007116207[/C][/ROW]
[ROW][C]0.21[/C][C]1.14867597832363[/C][C]0.108806226266166[/C][/ROW]
[ROW][C]0.22[/C][C]1.17450690582091[/C][C]0.111526345874432[/C][/ROW]
[ROW][C]0.23[/C][C]1.20090279599542[/C][C]0.113981317747320[/C][/ROW]
[ROW][C]0.24[/C][C]1.22786454880503[/C][C]0.117865971242430[/C][/ROW]
[ROW][C]0.25[/C][C]1.25566840237083[/C][C]0.124522349644961[/C][/ROW]
[ROW][C]0.26[/C][C]1.28477057820200[/C][C]0.134432658924318[/C][/ROW]
[ROW][C]0.27[/C][C]1.31566088638763[/C][C]0.147056822488423[/C][/ROW]
[ROW][C]0.28[/C][C]1.34870385036527[/C][C]0.161005886186909[/C][/ROW]
[ROW][C]0.29[/C][C]1.38400733691255[/C][C]0.174429669459977[/C][/ROW]
[ROW][C]0.3[/C][C]1.42134988065919[/C][C]0.185431825582093[/C][/ROW]
[ROW][C]0.31[/C][C]1.46018220038789[/C][C]0.192431242406097[/C][/ROW]
[ROW][C]0.32[/C][C]1.49970037436279[/C][C]0.194442990331227[/C][/ROW]
[ROW][C]0.33[/C][C]1.53897229539726[/C][C]0.191240825571842[/C][/ROW]
[ROW][C]0.34[/C][C]1.57708882551695[/C][C]0.183382839290953[/C][/ROW]
[ROW][C]0.35[/C][C]1.61330826157073[/C][C]0.172102299093327[/C][/ROW]
[ROW][C]0.36[/C][C]1.64716712713707[/C][C]0.159105686580578[/C][/ROW]
[ROW][C]0.37[/C][C]1.67854007085495[/C][C]0.146310430166866[/C][/ROW]
[ROW][C]0.38[/C][C]1.70764389252917[/C][C]0.135592463870076[/C][/ROW]
[ROW][C]0.39[/C][C]1.73499235093657[/C][C]0.128521510959501[/C][/ROW]
[ROW][C]0.4[/C][C]1.76131692384142[/C][C]0.126126386128966[/C][/ROW]
[ROW][C]0.41[/C][C]1.78747267875401[/C][C]0.128756276922900[/C][/ROW]
[ROW][C]0.42[/C][C]1.81434771342958[/C][C]0.136139378653004[/C][/ROW]
[ROW][C]0.43[/C][C]1.84279016175856[/C][C]0.147630325096696[/C][/ROW]
[ROW][C]0.44[/C][C]1.87356015306447[/C][C]0.162488093079177[/C][/ROW]
[ROW][C]0.45[/C][C]1.90730720851851[/C][C]0.180042619136871[/C][/ROW]
[ROW][C]0.46[/C][C]1.94456799592919[/C][C]0.199764561467315[/C][/ROW]
[ROW][C]0.47[/C][C]1.98577623892569[/C][C]0.221239785357986[/C][/ROW]
[ROW][C]0.48[/C][C]2.03127625259685[/C][C]0.244124560494843[/C][/ROW]
[ROW][C]0.49[/C][C]2.08133366945060[/C][C]0.268084941385092[/C][/ROW]
[ROW][C]0.5[/C][C]2.13614044661643[/C][C]0.292752836299755[/C][/ROW]
[ROW][C]0.51[/C][C]2.19581492999471[/C][C]0.317699491102206[/C][/ROW]
[ROW][C]0.52[/C][C]2.26040039045443[/C][C]0.342470704682052[/C][/ROW]
[ROW][C]0.53[/C][C]2.32986625743615[/C][C]0.366622102283551[/C][/ROW]
[ROW][C]0.54[/C][C]2.40411510943843[/C][C]0.389786474285055[/C][/ROW]
[ROW][C]0.55[/C][C]2.48299585253129[/C][C]0.411706236233484[/C][/ROW]
[ROW][C]0.56[/C][C]2.56632042563856[/C][C]0.432266927373528[/C][/ROW]
[ROW][C]0.57[/C][C]2.65387897744863[/C][C]0.451454169092221[/C][/ROW]
[ROW][C]0.58[/C][C]2.74544772292336[/C][C]0.469290498305262[/C][/ROW]
[ROW][C]0.59[/C][C]2.84078505284441[/C][C]0.485750100425177[/C][/ROW]
[ROW][C]0.6[/C][C]2.93961470831335[/C][C]0.500665954318674[/C][/ROW]
[ROW][C]0.61[/C][C]3.04159907421599[/C][C]0.513671889520743[/C][/ROW]
[ROW][C]0.62[/C][C]3.14630961210188[/C][C]0.52420231707287[/C][/ROW]
[ROW][C]0.63[/C][C]3.25320382681958[/C][C]0.531573180130575[/C][/ROW]
[ROW][C]0.64[/C][C]3.36161800264022[/C][C]0.535091697439588[/C][/ROW]
[ROW][C]0.65[/C][C]3.47078202106470[/C][C]0.534210210729058[/C][/ROW]
[ROW][C]0.66[/C][C]3.57985748895854[/C][C]0.528663051497691[/C][/ROW]
[ROW][C]0.67[/C][C]3.68799447096357[/C][C]0.518553831298617[/C][/ROW]
[ROW][C]0.68[/C][C]3.79439697663874[/C][C]0.504377998876676[/C][/ROW]
[ROW][C]0.69[/C][C]3.89838448508093[/C][C]0.486947115194946[/C][/ROW]
[ROW][C]0.7[/C][C]3.99943707875629[/C][C]0.467275337326379[/C][/ROW]
[ROW][C]0.71[/C][C]4.09721522653487[/C][C]0.446427584332868[/C][/ROW]
[ROW][C]0.72[/C][C]4.19155106820223[/C][C]0.425308960250839[/C][/ROW]
[ROW][C]0.73[/C][C]4.28241473420822[/C][C]0.404590749631166[/C][/ROW]
[ROW][C]0.74[/C][C]4.36986501063175[/C][C]0.384608317853817[/C][/ROW]
[ROW][C]0.75[/C][C]4.45399683735323[/C][C]0.365396497337722[/C][/ROW]
[ROW][C]0.76[/C][C]4.53489750452324[/C][C]0.346764937220990[/C][/ROW]
[ROW][C]0.77[/C][C]4.61261873424139[/C][C]0.328442897315785[/C][/ROW]
[ROW][C]0.78[/C][C]4.68716424543697[/C][C]0.310171339868038[/C][/ROW]
[ROW][C]0.79[/C][C]4.75848463476866[/C][C]0.291798506696338[/C][/ROW]
[ROW][C]0.8[/C][C]4.82646730150563[/C][C]0.273215878849616[/C][/ROW]
[ROW][C]0.81[/C][C]4.89091215874189[/C][C]0.2542757930982[/C][/ROW]
[ROW][C]0.82[/C][C]4.95149485766639[/C][C]0.234645639676569[/C][/ROW]
[ROW][C]0.83[/C][C]5.00773455831072[/C][C]0.213790023254734[/C][/ROW]
[ROW][C]0.84[/C][C]5.05899486364164[/C][C]0.191104467640712[/C][/ROW]
[ROW][C]0.85[/C][C]5.10454519262358[/C][C]0.166228272821406[/C][/ROW]
[ROW][C]0.86[/C][C]5.14369092670553[/C][C]0.139382463971929[/C][/ROW]
[ROW][C]0.87[/C][C]5.17594901337883[/C][C]0.111549921598085[/C][/ROW]
[ROW][C]0.88[/C][C]5.20121607792956[/C][C]0.0843605459202446[/C][/ROW]
[ROW][C]0.89[/C][C]5.2198663940226[/C][C]0.0596897968429252[/C][/ROW]
[ROW][C]0.9[/C][C]5.23273730967302[/C][C]0.0391279726884938[/C][/ROW]
[ROW][C]0.91[/C][C]5.24100331128915[/C][C]0.0235535516628197[/C][/ROW]
[ROW][C]0.92[/C][C]5.24598419441356[/C][C]0.0129877421581786[/C][/ROW]
[ROW][C]0.93[/C][C]5.24895096012532[/C][C]0.0067751606212474[/C][/ROW]
[ROW][C]0.94[/C][C]5.25097239529371[/C][C]0.00406583331290172[/C][/ROW]
[ROW][C]0.95[/C][C]5.25280293129417[/C][C]0.00385055213332001[/C][/ROW]
[ROW][C]0.96[/C][C]5.25479462967379[/C][C]0.004376499301866[/C][/ROW]
[ROW][C]0.97[/C][C]5.25686298691607[/C][C]0.00424482041954007[/C][/ROW]
[ROW][C]0.98[/C][C]5.25860930125745[/C][C]0.00294514620566433[/C][/ROW]
[ROW][C]0.99[/C][C]5.25965597712723[/C][C]0.00110759514973650[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39213&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39213&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
0.010.1717580588104520.0605805619592288
0.020.2328267027331370.159945048516640
0.030.3378136897188840.260661848755532
0.040.473742359171480.316482692340209
0.050.6168402559408370.310164923696107
0.060.7444655546263270.256590102092601
0.070.843541153082710.184683144466031
0.080.9119096039929860.118545890080496
0.090.9547215617645890.0697650904100954
0.10.9797725740432980.0396157863476157
0.110.994296357756220.0248399504312103
0.121.003687571246240.021776326648167
0.131.011502576587020.0264349895968244
0.141.019943197816280.0355611785055273
0.151.030332594909000.0474670301520158
0.161.043414962669070.0608969522920807
0.171.059497759968670.0745114691684328
0.181.078518239360200.0869431782713023
0.191.100109041888470.0970644544504276
0.21.123702666416400.104296007116207
0.211.148675978323630.108806226266166
0.221.174506905820910.111526345874432
0.231.200902795995420.113981317747320
0.241.227864548805030.117865971242430
0.251.255668402370830.124522349644961
0.261.284770578202000.134432658924318
0.271.315660886387630.147056822488423
0.281.348703850365270.161005886186909
0.291.384007336912550.174429669459977
0.31.421349880659190.185431825582093
0.311.460182200387890.192431242406097
0.321.499700374362790.194442990331227
0.331.538972295397260.191240825571842
0.341.577088825516950.183382839290953
0.351.613308261570730.172102299093327
0.361.647167127137070.159105686580578
0.371.678540070854950.146310430166866
0.381.707643892529170.135592463870076
0.391.734992350936570.128521510959501
0.41.761316923841420.126126386128966
0.411.787472678754010.128756276922900
0.421.814347713429580.136139378653004
0.431.842790161758560.147630325096696
0.441.873560153064470.162488093079177
0.451.907307208518510.180042619136871
0.461.944567995929190.199764561467315
0.471.985776238925690.221239785357986
0.482.031276252596850.244124560494843
0.492.081333669450600.268084941385092
0.52.136140446616430.292752836299755
0.512.195814929994710.317699491102206
0.522.260400390454430.342470704682052
0.532.329866257436150.366622102283551
0.542.404115109438430.389786474285055
0.552.482995852531290.411706236233484
0.562.566320425638560.432266927373528
0.572.653878977448630.451454169092221
0.582.745447722923360.469290498305262
0.592.840785052844410.485750100425177
0.62.939614708313350.500665954318674
0.613.041599074215990.513671889520743
0.623.146309612101880.52420231707287
0.633.253203826819580.531573180130575
0.643.361618002640220.535091697439588
0.653.470782021064700.534210210729058
0.663.579857488958540.528663051497691
0.673.687994470963570.518553831298617
0.683.794396976638740.504377998876676
0.693.898384485080930.486947115194946
0.73.999437078756290.467275337326379
0.714.097215226534870.446427584332868
0.724.191551068202230.425308960250839
0.734.282414734208220.404590749631166
0.744.369865010631750.384608317853817
0.754.453996837353230.365396497337722
0.764.534897504523240.346764937220990
0.774.612618734241390.328442897315785
0.784.687164245436970.310171339868038
0.794.758484634768660.291798506696338
0.84.826467301505630.273215878849616
0.814.890912158741890.2542757930982
0.824.951494857666390.234645639676569
0.835.007734558310720.213790023254734
0.845.058994863641640.191104467640712
0.855.104545192623580.166228272821406
0.865.143690926705530.139382463971929
0.875.175949013378830.111549921598085
0.885.201216077929560.0843605459202446
0.895.21986639402260.0596897968429252
0.95.232737309673020.0391279726884938
0.915.241003311289150.0235535516628197
0.925.245984194413560.0129877421581786
0.935.248950960125320.0067751606212474
0.945.250972395293710.00406583331290172
0.955.252802931294170.00385055213332001
0.965.254794629673790.004376499301866
0.975.256862986916070.00424482041954007
0.985.258609301257450.00294514620566433
0.995.259655977127230.00110759514973650



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')