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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 10 Dec 2015 08:49:37 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Dec/10/t1449737458sb1nlotrdycmfor.htm/, Retrieved Thu, 16 May 2024 05:41:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=285781, Retrieved Thu, 16 May 2024 05:41:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [harrell davis] [2015-12-10 08:49:37] [067caf4c851abbac74466517b25c88c8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.2
0.5
4.6
5.2
2.7
4.2
1.8
1.7
3.8
0
3.9
3.5
1
1.7
7.8
4.9
3.8
0
7.7
0
7.7
0
10.1
1.7
0
8.6
3.9
4.2
1.7
0
7
1.8
8.4
3.4
7
3.9
2.7
7.7
1.7
1.7
11
1.8
2.1
0.7
1.7
10.5
6.2
1.8
1.7
7
3.5
3.8
0.5
1.8
8.4
7.7
1.7
4.9
0
1.8
6.3
5.2
1
1
0
5.6
5.6
3.8
3.5
6.3
0
5.9
1.7
3.5
1.8
0
8.4
5.1
7
3.4
4.2
0
1.4
3.9
6.3
7
2.1
4.5
0
3.5
8.1
4.2
0
1.7
5.3
1.8
0
13.6
9.4
0
2.1
1.7
2.1
0
3.5
1.8
0
8
0
2.1
3.9
1
7.7
2.1
1.7
0
1
6
0
1.8
3.5
4.2
7.6
1
1.8
2.1
1
1.7
8.4
10.8
1.8
2.1
0
0.7
5.6
6
1.7
1.8
5.2
6.3
0
3.4
1
1
5.6
8.3
2.6
2.1
0
3.5
8.3
7
3.4
1
4.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285781&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285781&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285781&T=0

As an alternative you can also use a QR Code:  
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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.8511784306603e-114.6970519937591e-10
0.024.2128214139403e-093.0464590271337e-08
0.031.13021708247896e-077.33340872796947e-07
0.041.65999749428547e-069.62109930580408e-06
0.051.57592027795195e-058.11728355315806e-05
0.060.0001062229979863720.000483429819607367
0.070.0005402844152821220.00215822912375055
0.080.002165175898319090.00753418784280314
0.090.007062854931174350.0212235789740375
0.10.01924464768852760.0494438170228314
0.110.04474786185776090.0971759896895979
0.120.09043717294411870.163832775954442
0.130.1614826167934870.240385325445235
0.140.2585921952278270.310994409370579
0.150.3766764626171710.359283621643323
0.160.5060180535197330.375812639931446
0.170.6355517919681070.362319748921827
0.180.7566241021978680.330579013559184
0.190.8654271897358280.297057271350535
0.20.9631519083283180.275961882745592
0.211.05410468433410.272911044800285
0.221.14290589786130.28268783188808
0.231.232101560842890.293615172011497
0.241.321119453712920.294425235651773
0.251.406766885335880.278867164978717
0.261.484772880174930.247170426863694
0.271.551528828731730.204832539024415
0.281.605279433589650.159752409562136
0.291.646423867838910.119216107328275
0.31.677040587218160.087952894471694
0.311.700025837565280.0675905655605258
0.321.718264969621770.0570648296177391
0.331.734108090103910.0536445726131921
0.341.749222203725980.0545700032377667
0.351.76473726128560.0583888164355735
0.361.781531438370020.0651026162016064
0.371.800505265161570.0756362072916919
0.381.82274930663580.0910574597868043
0.391.849585171490690.11209953549432
0.41.882523022207010.139120291760919
0.411.923203155062230.172406950221629
0.421.973362926708070.212406392033979
0.432.034808100897560.259608380028421
0.442.109309652931550.313894302160869
0.452.198339523274080.373568691551366
0.462.302624739473180.434618969425581
0.472.421616767949310.490743764198885
0.482.553079200703670.534446015502291
0.492.693021320153580.558873694662542
0.52.836113270736170.559889344627368
0.512.976539176550780.537499475089702
0.523.109059456790750.496060378187034
0.533.229954616580390.44321058450853
0.543.337560763422220.387847454526222
0.553.432264184037940.337920781663283
0.563.516023339549380.298718402984447
0.573.59164091458020.27212263489257
0.583.662056460984240.257058257500373
0.593.729868403220150.250967048809558
0.63.797168446693720.251412681586423
0.613.865645020967280.257073111115316
0.623.936831658360960.267906855664771
0.634.012353772774220.284778314056065
0.644.094049756296330.308677254670458
0.654.183891442921610.339885878210611
0.664.283696031237510.377084506017906
0.674.394701811681680.417107307943289
0.684.517155642332570.455338016475423
0.694.650093661604680.48692853670553
0.74.791451360722360.508244729368056
0.714.93851405104340.518053027240252
0.725.088567455827510.517832848521808
0.735.239514589249260.511099119504312
0.745.390247775928030.502008415027098
0.755.5406905956730.494078254402934
0.765.691572681928760.489392519858954
0.775.84407840677470.488670815418967
0.785.999486037808980.491586180192958
0.796.158841159919780.496946993932617
0.86.322675442972040.502694808131211
0.816.490812055527020.506111721586093
0.826.662310096760540.504666512925939
0.836.835515986489580.496726320745857
0.847.008106933626370.48127192512799
0.857.177149398080640.457170853923048
0.867.339523761071570.423967900991601
0.877.493069318687750.384885845049608
0.887.638007756959440.348276329336561
0.897.777177387253690.322799413828372
0.97.913980000472690.30790682467631
0.918.049616365956750.292575918635245
0.928.184464663999220.270984751650738
0.938.328355451131240.266851484982096
0.948.51682721827740.34386023210612
0.958.814560411310760.538163066145581
0.969.278056286520520.763745675969881
0.979.892430159351620.836477846467695
0.9810.64443128614970.732784763068076
0.9911.92545179406891.23804364689963

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.8511784306603e-11 & 4.6970519937591e-10 \tabularnewline
0.02 & 4.2128214139403e-09 & 3.0464590271337e-08 \tabularnewline
0.03 & 1.13021708247896e-07 & 7.33340872796947e-07 \tabularnewline
0.04 & 1.65999749428547e-06 & 9.62109930580408e-06 \tabularnewline
0.05 & 1.57592027795195e-05 & 8.11728355315806e-05 \tabularnewline
0.06 & 0.000106222997986372 & 0.000483429819607367 \tabularnewline
0.07 & 0.000540284415282122 & 0.00215822912375055 \tabularnewline
0.08 & 0.00216517589831909 & 0.00753418784280314 \tabularnewline
0.09 & 0.00706285493117435 & 0.0212235789740375 \tabularnewline
0.1 & 0.0192446476885276 & 0.0494438170228314 \tabularnewline
0.11 & 0.0447478618577609 & 0.0971759896895979 \tabularnewline
0.12 & 0.0904371729441187 & 0.163832775954442 \tabularnewline
0.13 & 0.161482616793487 & 0.240385325445235 \tabularnewline
0.14 & 0.258592195227827 & 0.310994409370579 \tabularnewline
0.15 & 0.376676462617171 & 0.359283621643323 \tabularnewline
0.16 & 0.506018053519733 & 0.375812639931446 \tabularnewline
0.17 & 0.635551791968107 & 0.362319748921827 \tabularnewline
0.18 & 0.756624102197868 & 0.330579013559184 \tabularnewline
0.19 & 0.865427189735828 & 0.297057271350535 \tabularnewline
0.2 & 0.963151908328318 & 0.275961882745592 \tabularnewline
0.21 & 1.0541046843341 & 0.272911044800285 \tabularnewline
0.22 & 1.1429058978613 & 0.28268783188808 \tabularnewline
0.23 & 1.23210156084289 & 0.293615172011497 \tabularnewline
0.24 & 1.32111945371292 & 0.294425235651773 \tabularnewline
0.25 & 1.40676688533588 & 0.278867164978717 \tabularnewline
0.26 & 1.48477288017493 & 0.247170426863694 \tabularnewline
0.27 & 1.55152882873173 & 0.204832539024415 \tabularnewline
0.28 & 1.60527943358965 & 0.159752409562136 \tabularnewline
0.29 & 1.64642386783891 & 0.119216107328275 \tabularnewline
0.3 & 1.67704058721816 & 0.087952894471694 \tabularnewline
0.31 & 1.70002583756528 & 0.0675905655605258 \tabularnewline
0.32 & 1.71826496962177 & 0.0570648296177391 \tabularnewline
0.33 & 1.73410809010391 & 0.0536445726131921 \tabularnewline
0.34 & 1.74922220372598 & 0.0545700032377667 \tabularnewline
0.35 & 1.7647372612856 & 0.0583888164355735 \tabularnewline
0.36 & 1.78153143837002 & 0.0651026162016064 \tabularnewline
0.37 & 1.80050526516157 & 0.0756362072916919 \tabularnewline
0.38 & 1.8227493066358 & 0.0910574597868043 \tabularnewline
0.39 & 1.84958517149069 & 0.11209953549432 \tabularnewline
0.4 & 1.88252302220701 & 0.139120291760919 \tabularnewline
0.41 & 1.92320315506223 & 0.172406950221629 \tabularnewline
0.42 & 1.97336292670807 & 0.212406392033979 \tabularnewline
0.43 & 2.03480810089756 & 0.259608380028421 \tabularnewline
0.44 & 2.10930965293155 & 0.313894302160869 \tabularnewline
0.45 & 2.19833952327408 & 0.373568691551366 \tabularnewline
0.46 & 2.30262473947318 & 0.434618969425581 \tabularnewline
0.47 & 2.42161676794931 & 0.490743764198885 \tabularnewline
0.48 & 2.55307920070367 & 0.534446015502291 \tabularnewline
0.49 & 2.69302132015358 & 0.558873694662542 \tabularnewline
0.5 & 2.83611327073617 & 0.559889344627368 \tabularnewline
0.51 & 2.97653917655078 & 0.537499475089702 \tabularnewline
0.52 & 3.10905945679075 & 0.496060378187034 \tabularnewline
0.53 & 3.22995461658039 & 0.44321058450853 \tabularnewline
0.54 & 3.33756076342222 & 0.387847454526222 \tabularnewline
0.55 & 3.43226418403794 & 0.337920781663283 \tabularnewline
0.56 & 3.51602333954938 & 0.298718402984447 \tabularnewline
0.57 & 3.5916409145802 & 0.27212263489257 \tabularnewline
0.58 & 3.66205646098424 & 0.257058257500373 \tabularnewline
0.59 & 3.72986840322015 & 0.250967048809558 \tabularnewline
0.6 & 3.79716844669372 & 0.251412681586423 \tabularnewline
0.61 & 3.86564502096728 & 0.257073111115316 \tabularnewline
0.62 & 3.93683165836096 & 0.267906855664771 \tabularnewline
0.63 & 4.01235377277422 & 0.284778314056065 \tabularnewline
0.64 & 4.09404975629633 & 0.308677254670458 \tabularnewline
0.65 & 4.18389144292161 & 0.339885878210611 \tabularnewline
0.66 & 4.28369603123751 & 0.377084506017906 \tabularnewline
0.67 & 4.39470181168168 & 0.417107307943289 \tabularnewline
0.68 & 4.51715564233257 & 0.455338016475423 \tabularnewline
0.69 & 4.65009366160468 & 0.48692853670553 \tabularnewline
0.7 & 4.79145136072236 & 0.508244729368056 \tabularnewline
0.71 & 4.9385140510434 & 0.518053027240252 \tabularnewline
0.72 & 5.08856745582751 & 0.517832848521808 \tabularnewline
0.73 & 5.23951458924926 & 0.511099119504312 \tabularnewline
0.74 & 5.39024777592803 & 0.502008415027098 \tabularnewline
0.75 & 5.540690595673 & 0.494078254402934 \tabularnewline
0.76 & 5.69157268192876 & 0.489392519858954 \tabularnewline
0.77 & 5.8440784067747 & 0.488670815418967 \tabularnewline
0.78 & 5.99948603780898 & 0.491586180192958 \tabularnewline
0.79 & 6.15884115991978 & 0.496946993932617 \tabularnewline
0.8 & 6.32267544297204 & 0.502694808131211 \tabularnewline
0.81 & 6.49081205552702 & 0.506111721586093 \tabularnewline
0.82 & 6.66231009676054 & 0.504666512925939 \tabularnewline
0.83 & 6.83551598648958 & 0.496726320745857 \tabularnewline
0.84 & 7.00810693362637 & 0.48127192512799 \tabularnewline
0.85 & 7.17714939808064 & 0.457170853923048 \tabularnewline
0.86 & 7.33952376107157 & 0.423967900991601 \tabularnewline
0.87 & 7.49306931868775 & 0.384885845049608 \tabularnewline
0.88 & 7.63800775695944 & 0.348276329336561 \tabularnewline
0.89 & 7.77717738725369 & 0.322799413828372 \tabularnewline
0.9 & 7.91398000047269 & 0.30790682467631 \tabularnewline
0.91 & 8.04961636595675 & 0.292575918635245 \tabularnewline
0.92 & 8.18446466399922 & 0.270984751650738 \tabularnewline
0.93 & 8.32835545113124 & 0.266851484982096 \tabularnewline
0.94 & 8.5168272182774 & 0.34386023210612 \tabularnewline
0.95 & 8.81456041131076 & 0.538163066145581 \tabularnewline
0.96 & 9.27805628652052 & 0.763745675969881 \tabularnewline
0.97 & 9.89243015935162 & 0.836477846467695 \tabularnewline
0.98 & 10.6444312861497 & 0.732784763068076 \tabularnewline
0.99 & 11.9254517940689 & 1.23804364689963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=285781&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]5.8511784306603e-11[/C][C]4.6970519937591e-10[/C][/ROW]
[ROW][C]0.02[/C][C]4.2128214139403e-09[/C][C]3.0464590271337e-08[/C][/ROW]
[ROW][C]0.03[/C][C]1.13021708247896e-07[/C][C]7.33340872796947e-07[/C][/ROW]
[ROW][C]0.04[/C][C]1.65999749428547e-06[/C][C]9.62109930580408e-06[/C][/ROW]
[ROW][C]0.05[/C][C]1.57592027795195e-05[/C][C]8.11728355315806e-05[/C][/ROW]
[ROW][C]0.06[/C][C]0.000106222997986372[/C][C]0.000483429819607367[/C][/ROW]
[ROW][C]0.07[/C][C]0.000540284415282122[/C][C]0.00215822912375055[/C][/ROW]
[ROW][C]0.08[/C][C]0.00216517589831909[/C][C]0.00753418784280314[/C][/ROW]
[ROW][C]0.09[/C][C]0.00706285493117435[/C][C]0.0212235789740375[/C][/ROW]
[ROW][C]0.1[/C][C]0.0192446476885276[/C][C]0.0494438170228314[/C][/ROW]
[ROW][C]0.11[/C][C]0.0447478618577609[/C][C]0.0971759896895979[/C][/ROW]
[ROW][C]0.12[/C][C]0.0904371729441187[/C][C]0.163832775954442[/C][/ROW]
[ROW][C]0.13[/C][C]0.161482616793487[/C][C]0.240385325445235[/C][/ROW]
[ROW][C]0.14[/C][C]0.258592195227827[/C][C]0.310994409370579[/C][/ROW]
[ROW][C]0.15[/C][C]0.376676462617171[/C][C]0.359283621643323[/C][/ROW]
[ROW][C]0.16[/C][C]0.506018053519733[/C][C]0.375812639931446[/C][/ROW]
[ROW][C]0.17[/C][C]0.635551791968107[/C][C]0.362319748921827[/C][/ROW]
[ROW][C]0.18[/C][C]0.756624102197868[/C][C]0.330579013559184[/C][/ROW]
[ROW][C]0.19[/C][C]0.865427189735828[/C][C]0.297057271350535[/C][/ROW]
[ROW][C]0.2[/C][C]0.963151908328318[/C][C]0.275961882745592[/C][/ROW]
[ROW][C]0.21[/C][C]1.0541046843341[/C][C]0.272911044800285[/C][/ROW]
[ROW][C]0.22[/C][C]1.1429058978613[/C][C]0.28268783188808[/C][/ROW]
[ROW][C]0.23[/C][C]1.23210156084289[/C][C]0.293615172011497[/C][/ROW]
[ROW][C]0.24[/C][C]1.32111945371292[/C][C]0.294425235651773[/C][/ROW]
[ROW][C]0.25[/C][C]1.40676688533588[/C][C]0.278867164978717[/C][/ROW]
[ROW][C]0.26[/C][C]1.48477288017493[/C][C]0.247170426863694[/C][/ROW]
[ROW][C]0.27[/C][C]1.55152882873173[/C][C]0.204832539024415[/C][/ROW]
[ROW][C]0.28[/C][C]1.60527943358965[/C][C]0.159752409562136[/C][/ROW]
[ROW][C]0.29[/C][C]1.64642386783891[/C][C]0.119216107328275[/C][/ROW]
[ROW][C]0.3[/C][C]1.67704058721816[/C][C]0.087952894471694[/C][/ROW]
[ROW][C]0.31[/C][C]1.70002583756528[/C][C]0.0675905655605258[/C][/ROW]
[ROW][C]0.32[/C][C]1.71826496962177[/C][C]0.0570648296177391[/C][/ROW]
[ROW][C]0.33[/C][C]1.73410809010391[/C][C]0.0536445726131921[/C][/ROW]
[ROW][C]0.34[/C][C]1.74922220372598[/C][C]0.0545700032377667[/C][/ROW]
[ROW][C]0.35[/C][C]1.7647372612856[/C][C]0.0583888164355735[/C][/ROW]
[ROW][C]0.36[/C][C]1.78153143837002[/C][C]0.0651026162016064[/C][/ROW]
[ROW][C]0.37[/C][C]1.80050526516157[/C][C]0.0756362072916919[/C][/ROW]
[ROW][C]0.38[/C][C]1.8227493066358[/C][C]0.0910574597868043[/C][/ROW]
[ROW][C]0.39[/C][C]1.84958517149069[/C][C]0.11209953549432[/C][/ROW]
[ROW][C]0.4[/C][C]1.88252302220701[/C][C]0.139120291760919[/C][/ROW]
[ROW][C]0.41[/C][C]1.92320315506223[/C][C]0.172406950221629[/C][/ROW]
[ROW][C]0.42[/C][C]1.97336292670807[/C][C]0.212406392033979[/C][/ROW]
[ROW][C]0.43[/C][C]2.03480810089756[/C][C]0.259608380028421[/C][/ROW]
[ROW][C]0.44[/C][C]2.10930965293155[/C][C]0.313894302160869[/C][/ROW]
[ROW][C]0.45[/C][C]2.19833952327408[/C][C]0.373568691551366[/C][/ROW]
[ROW][C]0.46[/C][C]2.30262473947318[/C][C]0.434618969425581[/C][/ROW]
[ROW][C]0.47[/C][C]2.42161676794931[/C][C]0.490743764198885[/C][/ROW]
[ROW][C]0.48[/C][C]2.55307920070367[/C][C]0.534446015502291[/C][/ROW]
[ROW][C]0.49[/C][C]2.69302132015358[/C][C]0.558873694662542[/C][/ROW]
[ROW][C]0.5[/C][C]2.83611327073617[/C][C]0.559889344627368[/C][/ROW]
[ROW][C]0.51[/C][C]2.97653917655078[/C][C]0.537499475089702[/C][/ROW]
[ROW][C]0.52[/C][C]3.10905945679075[/C][C]0.496060378187034[/C][/ROW]
[ROW][C]0.53[/C][C]3.22995461658039[/C][C]0.44321058450853[/C][/ROW]
[ROW][C]0.54[/C][C]3.33756076342222[/C][C]0.387847454526222[/C][/ROW]
[ROW][C]0.55[/C][C]3.43226418403794[/C][C]0.337920781663283[/C][/ROW]
[ROW][C]0.56[/C][C]3.51602333954938[/C][C]0.298718402984447[/C][/ROW]
[ROW][C]0.57[/C][C]3.5916409145802[/C][C]0.27212263489257[/C][/ROW]
[ROW][C]0.58[/C][C]3.66205646098424[/C][C]0.257058257500373[/C][/ROW]
[ROW][C]0.59[/C][C]3.72986840322015[/C][C]0.250967048809558[/C][/ROW]
[ROW][C]0.6[/C][C]3.79716844669372[/C][C]0.251412681586423[/C][/ROW]
[ROW][C]0.61[/C][C]3.86564502096728[/C][C]0.257073111115316[/C][/ROW]
[ROW][C]0.62[/C][C]3.93683165836096[/C][C]0.267906855664771[/C][/ROW]
[ROW][C]0.63[/C][C]4.01235377277422[/C][C]0.284778314056065[/C][/ROW]
[ROW][C]0.64[/C][C]4.09404975629633[/C][C]0.308677254670458[/C][/ROW]
[ROW][C]0.65[/C][C]4.18389144292161[/C][C]0.339885878210611[/C][/ROW]
[ROW][C]0.66[/C][C]4.28369603123751[/C][C]0.377084506017906[/C][/ROW]
[ROW][C]0.67[/C][C]4.39470181168168[/C][C]0.417107307943289[/C][/ROW]
[ROW][C]0.68[/C][C]4.51715564233257[/C][C]0.455338016475423[/C][/ROW]
[ROW][C]0.69[/C][C]4.65009366160468[/C][C]0.48692853670553[/C][/ROW]
[ROW][C]0.7[/C][C]4.79145136072236[/C][C]0.508244729368056[/C][/ROW]
[ROW][C]0.71[/C][C]4.9385140510434[/C][C]0.518053027240252[/C][/ROW]
[ROW][C]0.72[/C][C]5.08856745582751[/C][C]0.517832848521808[/C][/ROW]
[ROW][C]0.73[/C][C]5.23951458924926[/C][C]0.511099119504312[/C][/ROW]
[ROW][C]0.74[/C][C]5.39024777592803[/C][C]0.502008415027098[/C][/ROW]
[ROW][C]0.75[/C][C]5.540690595673[/C][C]0.494078254402934[/C][/ROW]
[ROW][C]0.76[/C][C]5.69157268192876[/C][C]0.489392519858954[/C][/ROW]
[ROW][C]0.77[/C][C]5.8440784067747[/C][C]0.488670815418967[/C][/ROW]
[ROW][C]0.78[/C][C]5.99948603780898[/C][C]0.491586180192958[/C][/ROW]
[ROW][C]0.79[/C][C]6.15884115991978[/C][C]0.496946993932617[/C][/ROW]
[ROW][C]0.8[/C][C]6.32267544297204[/C][C]0.502694808131211[/C][/ROW]
[ROW][C]0.81[/C][C]6.49081205552702[/C][C]0.506111721586093[/C][/ROW]
[ROW][C]0.82[/C][C]6.66231009676054[/C][C]0.504666512925939[/C][/ROW]
[ROW][C]0.83[/C][C]6.83551598648958[/C][C]0.496726320745857[/C][/ROW]
[ROW][C]0.84[/C][C]7.00810693362637[/C][C]0.48127192512799[/C][/ROW]
[ROW][C]0.85[/C][C]7.17714939808064[/C][C]0.457170853923048[/C][/ROW]
[ROW][C]0.86[/C][C]7.33952376107157[/C][C]0.423967900991601[/C][/ROW]
[ROW][C]0.87[/C][C]7.49306931868775[/C][C]0.384885845049608[/C][/ROW]
[ROW][C]0.88[/C][C]7.63800775695944[/C][C]0.348276329336561[/C][/ROW]
[ROW][C]0.89[/C][C]7.77717738725369[/C][C]0.322799413828372[/C][/ROW]
[ROW][C]0.9[/C][C]7.91398000047269[/C][C]0.30790682467631[/C][/ROW]
[ROW][C]0.91[/C][C]8.04961636595675[/C][C]0.292575918635245[/C][/ROW]
[ROW][C]0.92[/C][C]8.18446466399922[/C][C]0.270984751650738[/C][/ROW]
[ROW][C]0.93[/C][C]8.32835545113124[/C][C]0.266851484982096[/C][/ROW]
[ROW][C]0.94[/C][C]8.5168272182774[/C][C]0.34386023210612[/C][/ROW]
[ROW][C]0.95[/C][C]8.81456041131076[/C][C]0.538163066145581[/C][/ROW]
[ROW][C]0.96[/C][C]9.27805628652052[/C][C]0.763745675969881[/C][/ROW]
[ROW][C]0.97[/C][C]9.89243015935162[/C][C]0.836477846467695[/C][/ROW]
[ROW][C]0.98[/C][C]10.6444312861497[/C][C]0.732784763068076[/C][/ROW]
[ROW][C]0.99[/C][C]11.9254517940689[/C][C]1.23804364689963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=285781&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=285781&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.8511784306603e-114.6970519937591e-10
0.024.2128214139403e-093.0464590271337e-08
0.031.13021708247896e-077.33340872796947e-07
0.041.65999749428547e-069.62109930580408e-06
0.051.57592027795195e-058.11728355315806e-05
0.060.0001062229979863720.000483429819607367
0.070.0005402844152821220.00215822912375055
0.080.002165175898319090.00753418784280314
0.090.007062854931174350.0212235789740375
0.10.01924464768852760.0494438170228314
0.110.04474786185776090.0971759896895979
0.120.09043717294411870.163832775954442
0.130.1614826167934870.240385325445235
0.140.2585921952278270.310994409370579
0.150.3766764626171710.359283621643323
0.160.5060180535197330.375812639931446
0.170.6355517919681070.362319748921827
0.180.7566241021978680.330579013559184
0.190.8654271897358280.297057271350535
0.20.9631519083283180.275961882745592
0.211.05410468433410.272911044800285
0.221.14290589786130.28268783188808
0.231.232101560842890.293615172011497
0.241.321119453712920.294425235651773
0.251.406766885335880.278867164978717
0.261.484772880174930.247170426863694
0.271.551528828731730.204832539024415
0.281.605279433589650.159752409562136
0.291.646423867838910.119216107328275
0.31.677040587218160.087952894471694
0.311.700025837565280.0675905655605258
0.321.718264969621770.0570648296177391
0.331.734108090103910.0536445726131921
0.341.749222203725980.0545700032377667
0.351.76473726128560.0583888164355735
0.361.781531438370020.0651026162016064
0.371.800505265161570.0756362072916919
0.381.82274930663580.0910574597868043
0.391.849585171490690.11209953549432
0.41.882523022207010.139120291760919
0.411.923203155062230.172406950221629
0.421.973362926708070.212406392033979
0.432.034808100897560.259608380028421
0.442.109309652931550.313894302160869
0.452.198339523274080.373568691551366
0.462.302624739473180.434618969425581
0.472.421616767949310.490743764198885
0.482.553079200703670.534446015502291
0.492.693021320153580.558873694662542
0.52.836113270736170.559889344627368
0.512.976539176550780.537499475089702
0.523.109059456790750.496060378187034
0.533.229954616580390.44321058450853
0.543.337560763422220.387847454526222
0.553.432264184037940.337920781663283
0.563.516023339549380.298718402984447
0.573.59164091458020.27212263489257
0.583.662056460984240.257058257500373
0.593.729868403220150.250967048809558
0.63.797168446693720.251412681586423
0.613.865645020967280.257073111115316
0.623.936831658360960.267906855664771
0.634.012353772774220.284778314056065
0.644.094049756296330.308677254670458
0.654.183891442921610.339885878210611
0.664.283696031237510.377084506017906
0.674.394701811681680.417107307943289
0.684.517155642332570.455338016475423
0.694.650093661604680.48692853670553
0.74.791451360722360.508244729368056
0.714.93851405104340.518053027240252
0.725.088567455827510.517832848521808
0.735.239514589249260.511099119504312
0.745.390247775928030.502008415027098
0.755.5406905956730.494078254402934
0.765.691572681928760.489392519858954
0.775.84407840677470.488670815418967
0.785.999486037808980.491586180192958
0.796.158841159919780.496946993932617
0.86.322675442972040.502694808131211
0.816.490812055527020.506111721586093
0.826.662310096760540.504666512925939
0.836.835515986489580.496726320745857
0.847.008106933626370.48127192512799
0.857.177149398080640.457170853923048
0.867.339523761071570.423967900991601
0.877.493069318687750.384885845049608
0.887.638007756959440.348276329336561
0.897.777177387253690.322799413828372
0.97.913980000472690.30790682467631
0.918.049616365956750.292575918635245
0.928.184464663999220.270984751650738
0.938.328355451131240.266851484982096
0.948.51682721827740.34386023210612
0.958.814560411310760.538163066145581
0.969.278056286520520.763745675969881
0.979.892430159351620.836477846467695
0.9810.64443128614970.732784763068076
0.9911.92545179406891.23804364689963


Figures (Output of Computation)

Input Parameters & R Code

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')