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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 11 Mar 2017 11:21:32 +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/2017/Mar/11/t1489231319b6xnf76fjjb7i6o.htm/, Retrieved Tue, 14 May 2024 04:52:31 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 04:52:31 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99.49
99.84
100.9
101.31
100.09
99.28
99.57
101.04
101.87
101.39
100.3
99.95
99.87
100.51
100.27
100.04
99.23
99.32
99.95
100.23
101.02
99.83
99.61
100.12
99.83
100.03
100.07
100.46
100.43
100.68
101.8
101.21
100.63
100.55
99.76
98.8
96.59
97.59
98.79
98.79
99.65
99.78
100.05
99.22
97.72
97.55
98.14
97.95
97.24
97.02
97.57
98.07
98.86
99.57
100.14
99.88
99.79
100.59
100.55
101.42

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 time1 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0196.69415643367360.384613564903158
0.0296.85004388476580.340741201177908
0.0397.01576295861710.307972108423871
0.0497.16670485776850.28375188736426
0.0597.2956988017910.262044202576627
0.0697.40477477168710.244081167914106
0.0797.49914201982440.236216481031806
0.0897.58452692895780.243344773723655
0.0997.66615997462340.265528266450634
0.197.74825833464690.297879909684278
0.1197.83371027454770.334959160331635
0.1297.92398325955780.371609886973673
0.1398.0192581693250.404050525255237
0.1498.11871871844540.429346509428077
0.1598.22090270278810.445994756253021
0.1698.32404188930750.453557561991613
0.1798.42634812552280.452343875730639
0.1898.52622648056040.443834964377447
0.1998.62240989431220.429781782331031
0.298.71401846959960.412219400366016
0.2198.80055385741540.392972108567343
0.2298.88184557260810.373550190494248
0.2398.95796992677390.354643474766461
0.2499.02916210685950.336835464815297
0.2599.09573777074830.320041158228
0.2699.15803389231850.304171283380707
0.2799.21637164949230.289004779486523
0.2899.27103876045410.274497153578845
0.2999.32228574885520.26046114537876
0.399.37033007559110.24691467403943
0.3199.41536317372790.23383800350999
0.3299.45755723470210.221220498405747
0.3399.49707035993750.208944389420231
0.3499.5340499860430.197158123075146
0.3599.56863519898750.185836100619611
0.3699.60095875588130.175005399508789
0.3799.63114949074730.164535170119041
0.3899.65933544796960.154501796689423
0.3999.68564768674470.144988392521869
0.499.71022432548390.136032606718192
0.4199.73321412168780.127865297359982
0.4299.75477876879940.120473851091747
0.4399.77509317077320.113869513342252
0.4499.79434322514060.108522139238887
0.4599.81272106191590.104257244682216
0.4699.8304181683650.10112748771686
0.4799.84761727875030.0991213764961534
0.4899.86448422739970.0980580502624708
0.4999.88116108166370.0977865585738497
0.599.89776175724550.0980242318453556
0.5199.91437098571940.0986295619659036
0.5299.931047006810.0992994447769769
0.5399.94782777862860.0999033774538384
0.5499.96473993253750.100500865053218
0.5599.98180923660350.101134124210586
0.5699.99907104515450.101813223186088
0.57100.0165791451740.102760877519993
0.58100.034411572120.10418660645759
0.59100.0526723331880.106191814054481
0.6100.0714884917560.109140224897723
0.61100.091002661670.112931054028906
0.62100.1113615577040.11770949639701
0.63100.1327017799770.123211256338965
0.64100.1551344230370.129262841536875
0.65100.1787303633020.135625396218131
0.66100.203508179360.141874133231709
0.67100.2294265976540.147550930678568
0.68100.256383133010.152315723038154
0.69100.2842202047380.155886918961267
0.7100.3127394406490.157945588735105
0.71100.3417241150530.158423758048973
0.72100.3709686934960.157474828194154
0.73100.4003132989660.155301467451032
0.74100.4296796504540.152343212893915
0.75100.4591038158590.149321320305122
0.76100.4887602231670.147065670222768
0.77100.5189711277010.14649321118588
0.78100.5501965125920.148450255787522
0.79100.5830015012360.153439703011267
0.8100.6180018390930.161580756484181
0.81100.6557924866450.172512634760517
0.82100.6968689458260.185286810308662
0.83100.7415542592380.198579618541707
0.84100.7899452771080.211012307948171
0.85100.8418890906460.221237253625465
0.86100.8969953533590.228201606569026
0.87100.9546854139850.231238871604662
0.88101.0142788048260.230159467300518
0.89101.0751240394150.225098679453883
0.9101.1367896069670.216720258036972
0.91101.1993264377250.206331408854012
0.92101.2635675076450.196241010965126
0.93101.3313208748230.190353257154154
0.94101.4051607792440.193337647503924
0.95101.4874431098290.206357425861319
0.96101.5783780161720.221256524195801
0.97101.6736564284230.220070940340318
0.98101.7631072526140.18547841517794
0.99101.8325078300980.121379704782441

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 96.6941564336736 & 0.384613564903158 \tabularnewline
0.02 & 96.8500438847658 & 0.340741201177908 \tabularnewline
0.03 & 97.0157629586171 & 0.307972108423871 \tabularnewline
0.04 & 97.1667048577685 & 0.28375188736426 \tabularnewline
0.05 & 97.295698801791 & 0.262044202576627 \tabularnewline
0.06 & 97.4047747716871 & 0.244081167914106 \tabularnewline
0.07 & 97.4991420198244 & 0.236216481031806 \tabularnewline
0.08 & 97.5845269289578 & 0.243344773723655 \tabularnewline
0.09 & 97.6661599746234 & 0.265528266450634 \tabularnewline
0.1 & 97.7482583346469 & 0.297879909684278 \tabularnewline
0.11 & 97.8337102745477 & 0.334959160331635 \tabularnewline
0.12 & 97.9239832595578 & 0.371609886973673 \tabularnewline
0.13 & 98.019258169325 & 0.404050525255237 \tabularnewline
0.14 & 98.1187187184454 & 0.429346509428077 \tabularnewline
0.15 & 98.2209027027881 & 0.445994756253021 \tabularnewline
0.16 & 98.3240418893075 & 0.453557561991613 \tabularnewline
0.17 & 98.4263481255228 & 0.452343875730639 \tabularnewline
0.18 & 98.5262264805604 & 0.443834964377447 \tabularnewline
0.19 & 98.6224098943122 & 0.429781782331031 \tabularnewline
0.2 & 98.7140184695996 & 0.412219400366016 \tabularnewline
0.21 & 98.8005538574154 & 0.392972108567343 \tabularnewline
0.22 & 98.8818455726081 & 0.373550190494248 \tabularnewline
0.23 & 98.9579699267739 & 0.354643474766461 \tabularnewline
0.24 & 99.0291621068595 & 0.336835464815297 \tabularnewline
0.25 & 99.0957377707483 & 0.320041158228 \tabularnewline
0.26 & 99.1580338923185 & 0.304171283380707 \tabularnewline
0.27 & 99.2163716494923 & 0.289004779486523 \tabularnewline
0.28 & 99.2710387604541 & 0.274497153578845 \tabularnewline
0.29 & 99.3222857488552 & 0.26046114537876 \tabularnewline
0.3 & 99.3703300755911 & 0.24691467403943 \tabularnewline
0.31 & 99.4153631737279 & 0.23383800350999 \tabularnewline
0.32 & 99.4575572347021 & 0.221220498405747 \tabularnewline
0.33 & 99.4970703599375 & 0.208944389420231 \tabularnewline
0.34 & 99.534049986043 & 0.197158123075146 \tabularnewline
0.35 & 99.5686351989875 & 0.185836100619611 \tabularnewline
0.36 & 99.6009587558813 & 0.175005399508789 \tabularnewline
0.37 & 99.6311494907473 & 0.164535170119041 \tabularnewline
0.38 & 99.6593354479696 & 0.154501796689423 \tabularnewline
0.39 & 99.6856476867447 & 0.144988392521869 \tabularnewline
0.4 & 99.7102243254839 & 0.136032606718192 \tabularnewline
0.41 & 99.7332141216878 & 0.127865297359982 \tabularnewline
0.42 & 99.7547787687994 & 0.120473851091747 \tabularnewline
0.43 & 99.7750931707732 & 0.113869513342252 \tabularnewline
0.44 & 99.7943432251406 & 0.108522139238887 \tabularnewline
0.45 & 99.8127210619159 & 0.104257244682216 \tabularnewline
0.46 & 99.830418168365 & 0.10112748771686 \tabularnewline
0.47 & 99.8476172787503 & 0.0991213764961534 \tabularnewline
0.48 & 99.8644842273997 & 0.0980580502624708 \tabularnewline
0.49 & 99.8811610816637 & 0.0977865585738497 \tabularnewline
0.5 & 99.8977617572455 & 0.0980242318453556 \tabularnewline
0.51 & 99.9143709857194 & 0.0986295619659036 \tabularnewline
0.52 & 99.93104700681 & 0.0992994447769769 \tabularnewline
0.53 & 99.9478277786286 & 0.0999033774538384 \tabularnewline
0.54 & 99.9647399325375 & 0.100500865053218 \tabularnewline
0.55 & 99.9818092366035 & 0.101134124210586 \tabularnewline
0.56 & 99.9990710451545 & 0.101813223186088 \tabularnewline
0.57 & 100.016579145174 & 0.102760877519993 \tabularnewline
0.58 & 100.03441157212 & 0.10418660645759 \tabularnewline
0.59 & 100.052672333188 & 0.106191814054481 \tabularnewline
0.6 & 100.071488491756 & 0.109140224897723 \tabularnewline
0.61 & 100.09100266167 & 0.112931054028906 \tabularnewline
0.62 & 100.111361557704 & 0.11770949639701 \tabularnewline
0.63 & 100.132701779977 & 0.123211256338965 \tabularnewline
0.64 & 100.155134423037 & 0.129262841536875 \tabularnewline
0.65 & 100.178730363302 & 0.135625396218131 \tabularnewline
0.66 & 100.20350817936 & 0.141874133231709 \tabularnewline
0.67 & 100.229426597654 & 0.147550930678568 \tabularnewline
0.68 & 100.25638313301 & 0.152315723038154 \tabularnewline
0.69 & 100.284220204738 & 0.155886918961267 \tabularnewline
0.7 & 100.312739440649 & 0.157945588735105 \tabularnewline
0.71 & 100.341724115053 & 0.158423758048973 \tabularnewline
0.72 & 100.370968693496 & 0.157474828194154 \tabularnewline
0.73 & 100.400313298966 & 0.155301467451032 \tabularnewline
0.74 & 100.429679650454 & 0.152343212893915 \tabularnewline
0.75 & 100.459103815859 & 0.149321320305122 \tabularnewline
0.76 & 100.488760223167 & 0.147065670222768 \tabularnewline
0.77 & 100.518971127701 & 0.14649321118588 \tabularnewline
0.78 & 100.550196512592 & 0.148450255787522 \tabularnewline
0.79 & 100.583001501236 & 0.153439703011267 \tabularnewline
0.8 & 100.618001839093 & 0.161580756484181 \tabularnewline
0.81 & 100.655792486645 & 0.172512634760517 \tabularnewline
0.82 & 100.696868945826 & 0.185286810308662 \tabularnewline
0.83 & 100.741554259238 & 0.198579618541707 \tabularnewline
0.84 & 100.789945277108 & 0.211012307948171 \tabularnewline
0.85 & 100.841889090646 & 0.221237253625465 \tabularnewline
0.86 & 100.896995353359 & 0.228201606569026 \tabularnewline
0.87 & 100.954685413985 & 0.231238871604662 \tabularnewline
0.88 & 101.014278804826 & 0.230159467300518 \tabularnewline
0.89 & 101.075124039415 & 0.225098679453883 \tabularnewline
0.9 & 101.136789606967 & 0.216720258036972 \tabularnewline
0.91 & 101.199326437725 & 0.206331408854012 \tabularnewline
0.92 & 101.263567507645 & 0.196241010965126 \tabularnewline
0.93 & 101.331320874823 & 0.190353257154154 \tabularnewline
0.94 & 101.405160779244 & 0.193337647503924 \tabularnewline
0.95 & 101.487443109829 & 0.206357425861319 \tabularnewline
0.96 & 101.578378016172 & 0.221256524195801 \tabularnewline
0.97 & 101.673656428423 & 0.220070940340318 \tabularnewline
0.98 & 101.763107252614 & 0.18547841517794 \tabularnewline
0.99 & 101.832507830098 & 0.121379704782441 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]96.6941564336736[/C][C]0.384613564903158[/C][/ROW]
[ROW][C]0.02[/C][C]96.8500438847658[/C][C]0.340741201177908[/C][/ROW]
[ROW][C]0.03[/C][C]97.0157629586171[/C][C]0.307972108423871[/C][/ROW]
[ROW][C]0.04[/C][C]97.1667048577685[/C][C]0.28375188736426[/C][/ROW]
[ROW][C]0.05[/C][C]97.295698801791[/C][C]0.262044202576627[/C][/ROW]
[ROW][C]0.06[/C][C]97.4047747716871[/C][C]0.244081167914106[/C][/ROW]
[ROW][C]0.07[/C][C]97.4991420198244[/C][C]0.236216481031806[/C][/ROW]
[ROW][C]0.08[/C][C]97.5845269289578[/C][C]0.243344773723655[/C][/ROW]
[ROW][C]0.09[/C][C]97.6661599746234[/C][C]0.265528266450634[/C][/ROW]
[ROW][C]0.1[/C][C]97.7482583346469[/C][C]0.297879909684278[/C][/ROW]
[ROW][C]0.11[/C][C]97.8337102745477[/C][C]0.334959160331635[/C][/ROW]
[ROW][C]0.12[/C][C]97.9239832595578[/C][C]0.371609886973673[/C][/ROW]
[ROW][C]0.13[/C][C]98.019258169325[/C][C]0.404050525255237[/C][/ROW]
[ROW][C]0.14[/C][C]98.1187187184454[/C][C]0.429346509428077[/C][/ROW]
[ROW][C]0.15[/C][C]98.2209027027881[/C][C]0.445994756253021[/C][/ROW]
[ROW][C]0.16[/C][C]98.3240418893075[/C][C]0.453557561991613[/C][/ROW]
[ROW][C]0.17[/C][C]98.4263481255228[/C][C]0.452343875730639[/C][/ROW]
[ROW][C]0.18[/C][C]98.5262264805604[/C][C]0.443834964377447[/C][/ROW]
[ROW][C]0.19[/C][C]98.6224098943122[/C][C]0.429781782331031[/C][/ROW]
[ROW][C]0.2[/C][C]98.7140184695996[/C][C]0.412219400366016[/C][/ROW]
[ROW][C]0.21[/C][C]98.8005538574154[/C][C]0.392972108567343[/C][/ROW]
[ROW][C]0.22[/C][C]98.8818455726081[/C][C]0.373550190494248[/C][/ROW]
[ROW][C]0.23[/C][C]98.9579699267739[/C][C]0.354643474766461[/C][/ROW]
[ROW][C]0.24[/C][C]99.0291621068595[/C][C]0.336835464815297[/C][/ROW]
[ROW][C]0.25[/C][C]99.0957377707483[/C][C]0.320041158228[/C][/ROW]
[ROW][C]0.26[/C][C]99.1580338923185[/C][C]0.304171283380707[/C][/ROW]
[ROW][C]0.27[/C][C]99.2163716494923[/C][C]0.289004779486523[/C][/ROW]
[ROW][C]0.28[/C][C]99.2710387604541[/C][C]0.274497153578845[/C][/ROW]
[ROW][C]0.29[/C][C]99.3222857488552[/C][C]0.26046114537876[/C][/ROW]
[ROW][C]0.3[/C][C]99.3703300755911[/C][C]0.24691467403943[/C][/ROW]
[ROW][C]0.31[/C][C]99.4153631737279[/C][C]0.23383800350999[/C][/ROW]
[ROW][C]0.32[/C][C]99.4575572347021[/C][C]0.221220498405747[/C][/ROW]
[ROW][C]0.33[/C][C]99.4970703599375[/C][C]0.208944389420231[/C][/ROW]
[ROW][C]0.34[/C][C]99.534049986043[/C][C]0.197158123075146[/C][/ROW]
[ROW][C]0.35[/C][C]99.5686351989875[/C][C]0.185836100619611[/C][/ROW]
[ROW][C]0.36[/C][C]99.6009587558813[/C][C]0.175005399508789[/C][/ROW]
[ROW][C]0.37[/C][C]99.6311494907473[/C][C]0.164535170119041[/C][/ROW]
[ROW][C]0.38[/C][C]99.6593354479696[/C][C]0.154501796689423[/C][/ROW]
[ROW][C]0.39[/C][C]99.6856476867447[/C][C]0.144988392521869[/C][/ROW]
[ROW][C]0.4[/C][C]99.7102243254839[/C][C]0.136032606718192[/C][/ROW]
[ROW][C]0.41[/C][C]99.7332141216878[/C][C]0.127865297359982[/C][/ROW]
[ROW][C]0.42[/C][C]99.7547787687994[/C][C]0.120473851091747[/C][/ROW]
[ROW][C]0.43[/C][C]99.7750931707732[/C][C]0.113869513342252[/C][/ROW]
[ROW][C]0.44[/C][C]99.7943432251406[/C][C]0.108522139238887[/C][/ROW]
[ROW][C]0.45[/C][C]99.8127210619159[/C][C]0.104257244682216[/C][/ROW]
[ROW][C]0.46[/C][C]99.830418168365[/C][C]0.10112748771686[/C][/ROW]
[ROW][C]0.47[/C][C]99.8476172787503[/C][C]0.0991213764961534[/C][/ROW]
[ROW][C]0.48[/C][C]99.8644842273997[/C][C]0.0980580502624708[/C][/ROW]
[ROW][C]0.49[/C][C]99.8811610816637[/C][C]0.0977865585738497[/C][/ROW]
[ROW][C]0.5[/C][C]99.8977617572455[/C][C]0.0980242318453556[/C][/ROW]
[ROW][C]0.51[/C][C]99.9143709857194[/C][C]0.0986295619659036[/C][/ROW]
[ROW][C]0.52[/C][C]99.93104700681[/C][C]0.0992994447769769[/C][/ROW]
[ROW][C]0.53[/C][C]99.9478277786286[/C][C]0.0999033774538384[/C][/ROW]
[ROW][C]0.54[/C][C]99.9647399325375[/C][C]0.100500865053218[/C][/ROW]
[ROW][C]0.55[/C][C]99.9818092366035[/C][C]0.101134124210586[/C][/ROW]
[ROW][C]0.56[/C][C]99.9990710451545[/C][C]0.101813223186088[/C][/ROW]
[ROW][C]0.57[/C][C]100.016579145174[/C][C]0.102760877519993[/C][/ROW]
[ROW][C]0.58[/C][C]100.03441157212[/C][C]0.10418660645759[/C][/ROW]
[ROW][C]0.59[/C][C]100.052672333188[/C][C]0.106191814054481[/C][/ROW]
[ROW][C]0.6[/C][C]100.071488491756[/C][C]0.109140224897723[/C][/ROW]
[ROW][C]0.61[/C][C]100.09100266167[/C][C]0.112931054028906[/C][/ROW]
[ROW][C]0.62[/C][C]100.111361557704[/C][C]0.11770949639701[/C][/ROW]
[ROW][C]0.63[/C][C]100.132701779977[/C][C]0.123211256338965[/C][/ROW]
[ROW][C]0.64[/C][C]100.155134423037[/C][C]0.129262841536875[/C][/ROW]
[ROW][C]0.65[/C][C]100.178730363302[/C][C]0.135625396218131[/C][/ROW]
[ROW][C]0.66[/C][C]100.20350817936[/C][C]0.141874133231709[/C][/ROW]
[ROW][C]0.67[/C][C]100.229426597654[/C][C]0.147550930678568[/C][/ROW]
[ROW][C]0.68[/C][C]100.25638313301[/C][C]0.152315723038154[/C][/ROW]
[ROW][C]0.69[/C][C]100.284220204738[/C][C]0.155886918961267[/C][/ROW]
[ROW][C]0.7[/C][C]100.312739440649[/C][C]0.157945588735105[/C][/ROW]
[ROW][C]0.71[/C][C]100.341724115053[/C][C]0.158423758048973[/C][/ROW]
[ROW][C]0.72[/C][C]100.370968693496[/C][C]0.157474828194154[/C][/ROW]
[ROW][C]0.73[/C][C]100.400313298966[/C][C]0.155301467451032[/C][/ROW]
[ROW][C]0.74[/C][C]100.429679650454[/C][C]0.152343212893915[/C][/ROW]
[ROW][C]0.75[/C][C]100.459103815859[/C][C]0.149321320305122[/C][/ROW]
[ROW][C]0.76[/C][C]100.488760223167[/C][C]0.147065670222768[/C][/ROW]
[ROW][C]0.77[/C][C]100.518971127701[/C][C]0.14649321118588[/C][/ROW]
[ROW][C]0.78[/C][C]100.550196512592[/C][C]0.148450255787522[/C][/ROW]
[ROW][C]0.79[/C][C]100.583001501236[/C][C]0.153439703011267[/C][/ROW]
[ROW][C]0.8[/C][C]100.618001839093[/C][C]0.161580756484181[/C][/ROW]
[ROW][C]0.81[/C][C]100.655792486645[/C][C]0.172512634760517[/C][/ROW]
[ROW][C]0.82[/C][C]100.696868945826[/C][C]0.185286810308662[/C][/ROW]
[ROW][C]0.83[/C][C]100.741554259238[/C][C]0.198579618541707[/C][/ROW]
[ROW][C]0.84[/C][C]100.789945277108[/C][C]0.211012307948171[/C][/ROW]
[ROW][C]0.85[/C][C]100.841889090646[/C][C]0.221237253625465[/C][/ROW]
[ROW][C]0.86[/C][C]100.896995353359[/C][C]0.228201606569026[/C][/ROW]
[ROW][C]0.87[/C][C]100.954685413985[/C][C]0.231238871604662[/C][/ROW]
[ROW][C]0.88[/C][C]101.014278804826[/C][C]0.230159467300518[/C][/ROW]
[ROW][C]0.89[/C][C]101.075124039415[/C][C]0.225098679453883[/C][/ROW]
[ROW][C]0.9[/C][C]101.136789606967[/C][C]0.216720258036972[/C][/ROW]
[ROW][C]0.91[/C][C]101.199326437725[/C][C]0.206331408854012[/C][/ROW]
[ROW][C]0.92[/C][C]101.263567507645[/C][C]0.196241010965126[/C][/ROW]
[ROW][C]0.93[/C][C]101.331320874823[/C][C]0.190353257154154[/C][/ROW]
[ROW][C]0.94[/C][C]101.405160779244[/C][C]0.193337647503924[/C][/ROW]
[ROW][C]0.95[/C][C]101.487443109829[/C][C]0.206357425861319[/C][/ROW]
[ROW][C]0.96[/C][C]101.578378016172[/C][C]0.221256524195801[/C][/ROW]
[ROW][C]0.97[/C][C]101.673656428423[/C][C]0.220070940340318[/C][/ROW]
[ROW][C]0.98[/C][C]101.763107252614[/C][C]0.18547841517794[/C][/ROW]
[ROW][C]0.99[/C][C]101.832507830098[/C][C]0.121379704782441[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0196.69415643367360.384613564903158
0.0296.85004388476580.340741201177908
0.0397.01576295861710.307972108423871
0.0497.16670485776850.28375188736426
0.0597.2956988017910.262044202576627
0.0697.40477477168710.244081167914106
0.0797.49914201982440.236216481031806
0.0897.58452692895780.243344773723655
0.0997.66615997462340.265528266450634
0.197.74825833464690.297879909684278
0.1197.83371027454770.334959160331635
0.1297.92398325955780.371609886973673
0.1398.0192581693250.404050525255237
0.1498.11871871844540.429346509428077
0.1598.22090270278810.445994756253021
0.1698.32404188930750.453557561991613
0.1798.42634812552280.452343875730639
0.1898.52622648056040.443834964377447
0.1998.62240989431220.429781782331031
0.298.71401846959960.412219400366016
0.2198.80055385741540.392972108567343
0.2298.88184557260810.373550190494248
0.2398.95796992677390.354643474766461
0.2499.02916210685950.336835464815297
0.2599.09573777074830.320041158228
0.2699.15803389231850.304171283380707
0.2799.21637164949230.289004779486523
0.2899.27103876045410.274497153578845
0.2999.32228574885520.26046114537876
0.399.37033007559110.24691467403943
0.3199.41536317372790.23383800350999
0.3299.45755723470210.221220498405747
0.3399.49707035993750.208944389420231
0.3499.5340499860430.197158123075146
0.3599.56863519898750.185836100619611
0.3699.60095875588130.175005399508789
0.3799.63114949074730.164535170119041
0.3899.65933544796960.154501796689423
0.3999.68564768674470.144988392521869
0.499.71022432548390.136032606718192
0.4199.73321412168780.127865297359982
0.4299.75477876879940.120473851091747
0.4399.77509317077320.113869513342252
0.4499.79434322514060.108522139238887
0.4599.81272106191590.104257244682216
0.4699.8304181683650.10112748771686
0.4799.84761727875030.0991213764961534
0.4899.86448422739970.0980580502624708
0.4999.88116108166370.0977865585738497
0.599.89776175724550.0980242318453556
0.5199.91437098571940.0986295619659036
0.5299.931047006810.0992994447769769
0.5399.94782777862860.0999033774538384
0.5499.96473993253750.100500865053218
0.5599.98180923660350.101134124210586
0.5699.99907104515450.101813223186088
0.57100.0165791451740.102760877519993
0.58100.034411572120.10418660645759
0.59100.0526723331880.106191814054481
0.6100.0714884917560.109140224897723
0.61100.091002661670.112931054028906
0.62100.1113615577040.11770949639701
0.63100.1327017799770.123211256338965
0.64100.1551344230370.129262841536875
0.65100.1787303633020.135625396218131
0.66100.203508179360.141874133231709
0.67100.2294265976540.147550930678568
0.68100.256383133010.152315723038154
0.69100.2842202047380.155886918961267
0.7100.3127394406490.157945588735105
0.71100.3417241150530.158423758048973
0.72100.3709686934960.157474828194154
0.73100.4003132989660.155301467451032
0.74100.4296796504540.152343212893915
0.75100.4591038158590.149321320305122
0.76100.4887602231670.147065670222768
0.77100.5189711277010.14649321118588
0.78100.5501965125920.148450255787522
0.79100.5830015012360.153439703011267
0.8100.6180018390930.161580756484181
0.81100.6557924866450.172512634760517
0.82100.6968689458260.185286810308662
0.83100.7415542592380.198579618541707
0.84100.7899452771080.211012307948171
0.85100.8418890906460.221237253625465
0.86100.8969953533590.228201606569026
0.87100.9546854139850.231238871604662
0.88101.0142788048260.230159467300518
0.89101.0751240394150.225098679453883
0.9101.1367896069670.216720258036972
0.91101.1993264377250.206331408854012
0.92101.2635675076450.196241010965126
0.93101.3313208748230.190353257154154
0.94101.4051607792440.193337647503924
0.95101.4874431098290.206357425861319
0.96101.5783780161720.221256524195801
0.97101.6736564284230.220070940340318
0.98101.7631072526140.18547841517794
0.99101.8325078300980.121379704782441


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')