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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 computationThu, 03 Oct 2013 14:31:45 -0400
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/Oct/03/t13808251302fky08p05lq5u12.htm/, Retrieved Thu, 02 May 2024 03:20:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212973, Retrieved Thu, 02 May 2024 03:20:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact66

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] [] [2013-10-03 18:31:45] [2358c8bdbef440d7990b31f18da12314] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
20,1
20,1
20,1
20,3
20,7
20,6
20,3
19,9
19,7
19,4
19,1
18,8
18,9
18,7
18,8
19,5
19,3
19,1
19,1
19
18,8
19,2
18,9
18,7
18,5
18,4
18,3
18,3
18,3
18,5
19,2
19,4
19,1
19,5
18,8
19,3
20,4
20,9
21,1
20,6
20,4
20,8
21,1
21,6
22
22,2
22,4
22,8
22,7
22,8
22,9
22,9
22,6
21,9
20,8
20,3
20,4
21,2
21,4
20,9
20
19,5
19,2
19,3
19,4
19,5
20
20,1
19,5
18,6
18,4
18,4
19,3
19,8
19,8
19,8
20,1
20,3
19,7
20,2
20,6
21
21,4
21,9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212973&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212973&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212973&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 time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0118.30358973059690.0115381912735275
0.0218.31494749503020.032150574299519
0.0318.33530553868950.0510759069744701
0.0418.36257032061150.0635162171817553
0.0518.39396164856020.0735717679120508
0.0618.42805608051820.0861320677059588
0.0718.46475669364440.101187216967475
0.0818.50420261675110.11559151426127
0.0918.54595701798320.126342488384716
0.118.58891829860560.131877455023305
0.1118.63170232046050.132404334726923
0.1218.6731080870090.129380767747187
0.1318.7124301431820.124993466156188
0.1418.74954885709440.121483401229164
0.1518.78482996610580.120399421997821
0.1618.81890934657790.122169185302322
0.1718.85244980569330.126174774377517
0.1818.88594409461480.131055677279571
0.1918.91960920036350.135405305945969
0.218.9533811909690.138135144439287
0.2118.98698889980880.138746072311704
0.2219.02006707058290.13725716387462
0.2319.05226793171560.13419607758639
0.2419.08334135490390.130289934783174
0.2519.11317103443590.126219584486478
0.2619.14177036463020.12254663806432
0.2719.1692519821050.119569993930831
0.2819.1957877622320.117401043378649
0.2919.2215728941890.116014697550507
0.319.24680156129830.115344259003212
0.3119.27165574575720.115313942015165
0.3219.2963046441620.115930112413414
0.3319.32091055949590.11717276557454
0.3419.34563728834010.119149910892362
0.3519.370657925210.121932797891719
0.3619.39615986577920.125628977341601
0.3719.42234533911810.13040848286357
0.3819.44942622738820.136249852128604
0.3919.47761259593080.143229991888159
0.419.50709545803990.151190392067482
0.4119.53802570776510.159789185246855
0.4219.57049245341210.168673437731311
0.4319.60450467850980.177277926268468
0.4419.63997992580850.185083163789048
0.4519.67674255996150.191634816360424
0.4619.71453246086720.196473529131654
0.4719.75302324156240.199346931521233
0.4819.79184771926510.200135075031315
0.4919.83062761077260.198868654942232
0.519.86900422486220.195717819073508
0.5119.90666707891940.191010261811569
0.5219.94337768439180.185128135519232
0.5319.97898617931530.178647328159054
0.5420.01343914054270.172047349744527
0.5520.04677792117460.16588033714252
0.5620.07912823280460.16056411661275
0.5720.11068318656270.156443777291326
0.5820.14168317059450.153646635428151
0.5920.172396294990.152241114764974
0.620.20310241744450.152211540663012
0.6120.23408211553570.153433943484115
0.6220.26560994798130.155871055198135
0.6320.29794972103850.159481204024867
0.6420.33134892072030.164185037118832
0.6520.36603025804010.169809506306257
0.6620.40218013364470.176194498133818
0.6720.43993604660730.182958107511462
0.6820.47937668429220.18975715608021
0.6920.52051897167930.196215384927209
0.720.56332552015370.202033830150686
0.7120.60772399031650.207017765841347
0.7220.65363749897710.211208825963292
0.7320.70102303224650.214803173843296
0.7420.74991332257110.218198139151931
0.7520.80045688299340.221963612915156
0.7620.85295060305050.226763782906652
0.7720.90785909503370.233326085038569
0.7820.96581461468780.24228546834888
0.7921.02759118405860.254122637476936
0.821.09404762563690.268997093902464
0.8121.16603835420920.286555236770774
0.8221.24429955369940.305964444183754
0.8321.32933142193960.325804366911566
0.8421.42131004109640.344305805479758
0.8521.5200657999120.359735336321965
0.8621.6251480128640.37086765775587
0.8721.73595269983150.377331988446133
0.8821.85183457151880.379620737131248
0.8921.97208859956330.378455731831933
0.922.09571422113050.373556592040517
0.9122.22098947768620.36288171593167
0.9222.34505485647870.342835740367366
0.9322.46384802067440.310104993753761
0.9422.57271134700480.264146260566355
0.9522.6676787240410.209135769742273
0.9622.74678605501490.153796015965243
0.9722.81010002666720.107385271081096
0.9822.8577246678150.0704294722336124
0.9922.88793997989420.0328768196006492

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 18.3035897305969 & 0.0115381912735275 \tabularnewline
0.02 & 18.3149474950302 & 0.032150574299519 \tabularnewline
0.03 & 18.3353055386895 & 0.0510759069744701 \tabularnewline
0.04 & 18.3625703206115 & 0.0635162171817553 \tabularnewline
0.05 & 18.3939616485602 & 0.0735717679120508 \tabularnewline
0.06 & 18.4280560805182 & 0.0861320677059588 \tabularnewline
0.07 & 18.4647566936444 & 0.101187216967475 \tabularnewline
0.08 & 18.5042026167511 & 0.11559151426127 \tabularnewline
0.09 & 18.5459570179832 & 0.126342488384716 \tabularnewline
0.1 & 18.5889182986056 & 0.131877455023305 \tabularnewline
0.11 & 18.6317023204605 & 0.132404334726923 \tabularnewline
0.12 & 18.673108087009 & 0.129380767747187 \tabularnewline
0.13 & 18.712430143182 & 0.124993466156188 \tabularnewline
0.14 & 18.7495488570944 & 0.121483401229164 \tabularnewline
0.15 & 18.7848299661058 & 0.120399421997821 \tabularnewline
0.16 & 18.8189093465779 & 0.122169185302322 \tabularnewline
0.17 & 18.8524498056933 & 0.126174774377517 \tabularnewline
0.18 & 18.8859440946148 & 0.131055677279571 \tabularnewline
0.19 & 18.9196092003635 & 0.135405305945969 \tabularnewline
0.2 & 18.953381190969 & 0.138135144439287 \tabularnewline
0.21 & 18.9869888998088 & 0.138746072311704 \tabularnewline
0.22 & 19.0200670705829 & 0.13725716387462 \tabularnewline
0.23 & 19.0522679317156 & 0.13419607758639 \tabularnewline
0.24 & 19.0833413549039 & 0.130289934783174 \tabularnewline
0.25 & 19.1131710344359 & 0.126219584486478 \tabularnewline
0.26 & 19.1417703646302 & 0.12254663806432 \tabularnewline
0.27 & 19.169251982105 & 0.119569993930831 \tabularnewline
0.28 & 19.195787762232 & 0.117401043378649 \tabularnewline
0.29 & 19.221572894189 & 0.116014697550507 \tabularnewline
0.3 & 19.2468015612983 & 0.115344259003212 \tabularnewline
0.31 & 19.2716557457572 & 0.115313942015165 \tabularnewline
0.32 & 19.296304644162 & 0.115930112413414 \tabularnewline
0.33 & 19.3209105594959 & 0.11717276557454 \tabularnewline
0.34 & 19.3456372883401 & 0.119149910892362 \tabularnewline
0.35 & 19.37065792521 & 0.121932797891719 \tabularnewline
0.36 & 19.3961598657792 & 0.125628977341601 \tabularnewline
0.37 & 19.4223453391181 & 0.13040848286357 \tabularnewline
0.38 & 19.4494262273882 & 0.136249852128604 \tabularnewline
0.39 & 19.4776125959308 & 0.143229991888159 \tabularnewline
0.4 & 19.5070954580399 & 0.151190392067482 \tabularnewline
0.41 & 19.5380257077651 & 0.159789185246855 \tabularnewline
0.42 & 19.5704924534121 & 0.168673437731311 \tabularnewline
0.43 & 19.6045046785098 & 0.177277926268468 \tabularnewline
0.44 & 19.6399799258085 & 0.185083163789048 \tabularnewline
0.45 & 19.6767425599615 & 0.191634816360424 \tabularnewline
0.46 & 19.7145324608672 & 0.196473529131654 \tabularnewline
0.47 & 19.7530232415624 & 0.199346931521233 \tabularnewline
0.48 & 19.7918477192651 & 0.200135075031315 \tabularnewline
0.49 & 19.8306276107726 & 0.198868654942232 \tabularnewline
0.5 & 19.8690042248622 & 0.195717819073508 \tabularnewline
0.51 & 19.9066670789194 & 0.191010261811569 \tabularnewline
0.52 & 19.9433776843918 & 0.185128135519232 \tabularnewline
0.53 & 19.9789861793153 & 0.178647328159054 \tabularnewline
0.54 & 20.0134391405427 & 0.172047349744527 \tabularnewline
0.55 & 20.0467779211746 & 0.16588033714252 \tabularnewline
0.56 & 20.0791282328046 & 0.16056411661275 \tabularnewline
0.57 & 20.1106831865627 & 0.156443777291326 \tabularnewline
0.58 & 20.1416831705945 & 0.153646635428151 \tabularnewline
0.59 & 20.17239629499 & 0.152241114764974 \tabularnewline
0.6 & 20.2031024174445 & 0.152211540663012 \tabularnewline
0.61 & 20.2340821155357 & 0.153433943484115 \tabularnewline
0.62 & 20.2656099479813 & 0.155871055198135 \tabularnewline
0.63 & 20.2979497210385 & 0.159481204024867 \tabularnewline
0.64 & 20.3313489207203 & 0.164185037118832 \tabularnewline
0.65 & 20.3660302580401 & 0.169809506306257 \tabularnewline
0.66 & 20.4021801336447 & 0.176194498133818 \tabularnewline
0.67 & 20.4399360466073 & 0.182958107511462 \tabularnewline
0.68 & 20.4793766842922 & 0.18975715608021 \tabularnewline
0.69 & 20.5205189716793 & 0.196215384927209 \tabularnewline
0.7 & 20.5633255201537 & 0.202033830150686 \tabularnewline
0.71 & 20.6077239903165 & 0.207017765841347 \tabularnewline
0.72 & 20.6536374989771 & 0.211208825963292 \tabularnewline
0.73 & 20.7010230322465 & 0.214803173843296 \tabularnewline
0.74 & 20.7499133225711 & 0.218198139151931 \tabularnewline
0.75 & 20.8004568829934 & 0.221963612915156 \tabularnewline
0.76 & 20.8529506030505 & 0.226763782906652 \tabularnewline
0.77 & 20.9078590950337 & 0.233326085038569 \tabularnewline
0.78 & 20.9658146146878 & 0.24228546834888 \tabularnewline
0.79 & 21.0275911840586 & 0.254122637476936 \tabularnewline
0.8 & 21.0940476256369 & 0.268997093902464 \tabularnewline
0.81 & 21.1660383542092 & 0.286555236770774 \tabularnewline
0.82 & 21.2442995536994 & 0.305964444183754 \tabularnewline
0.83 & 21.3293314219396 & 0.325804366911566 \tabularnewline
0.84 & 21.4213100410964 & 0.344305805479758 \tabularnewline
0.85 & 21.520065799912 & 0.359735336321965 \tabularnewline
0.86 & 21.625148012864 & 0.37086765775587 \tabularnewline
0.87 & 21.7359526998315 & 0.377331988446133 \tabularnewline
0.88 & 21.8518345715188 & 0.379620737131248 \tabularnewline
0.89 & 21.9720885995633 & 0.378455731831933 \tabularnewline
0.9 & 22.0957142211305 & 0.373556592040517 \tabularnewline
0.91 & 22.2209894776862 & 0.36288171593167 \tabularnewline
0.92 & 22.3450548564787 & 0.342835740367366 \tabularnewline
0.93 & 22.4638480206744 & 0.310104993753761 \tabularnewline
0.94 & 22.5727113470048 & 0.264146260566355 \tabularnewline
0.95 & 22.667678724041 & 0.209135769742273 \tabularnewline
0.96 & 22.7467860550149 & 0.153796015965243 \tabularnewline
0.97 & 22.8101000266672 & 0.107385271081096 \tabularnewline
0.98 & 22.857724667815 & 0.0704294722336124 \tabularnewline
0.99 & 22.8879399798942 & 0.0328768196006492 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212973&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]18.3035897305969[/C][C]0.0115381912735275[/C][/ROW]
[ROW][C]0.02[/C][C]18.3149474950302[/C][C]0.032150574299519[/C][/ROW]
[ROW][C]0.03[/C][C]18.3353055386895[/C][C]0.0510759069744701[/C][/ROW]
[ROW][C]0.04[/C][C]18.3625703206115[/C][C]0.0635162171817553[/C][/ROW]
[ROW][C]0.05[/C][C]18.3939616485602[/C][C]0.0735717679120508[/C][/ROW]
[ROW][C]0.06[/C][C]18.4280560805182[/C][C]0.0861320677059588[/C][/ROW]
[ROW][C]0.07[/C][C]18.4647566936444[/C][C]0.101187216967475[/C][/ROW]
[ROW][C]0.08[/C][C]18.5042026167511[/C][C]0.11559151426127[/C][/ROW]
[ROW][C]0.09[/C][C]18.5459570179832[/C][C]0.126342488384716[/C][/ROW]
[ROW][C]0.1[/C][C]18.5889182986056[/C][C]0.131877455023305[/C][/ROW]
[ROW][C]0.11[/C][C]18.6317023204605[/C][C]0.132404334726923[/C][/ROW]
[ROW][C]0.12[/C][C]18.673108087009[/C][C]0.129380767747187[/C][/ROW]
[ROW][C]0.13[/C][C]18.712430143182[/C][C]0.124993466156188[/C][/ROW]
[ROW][C]0.14[/C][C]18.7495488570944[/C][C]0.121483401229164[/C][/ROW]
[ROW][C]0.15[/C][C]18.7848299661058[/C][C]0.120399421997821[/C][/ROW]
[ROW][C]0.16[/C][C]18.8189093465779[/C][C]0.122169185302322[/C][/ROW]
[ROW][C]0.17[/C][C]18.8524498056933[/C][C]0.126174774377517[/C][/ROW]
[ROW][C]0.18[/C][C]18.8859440946148[/C][C]0.131055677279571[/C][/ROW]
[ROW][C]0.19[/C][C]18.9196092003635[/C][C]0.135405305945969[/C][/ROW]
[ROW][C]0.2[/C][C]18.953381190969[/C][C]0.138135144439287[/C][/ROW]
[ROW][C]0.21[/C][C]18.9869888998088[/C][C]0.138746072311704[/C][/ROW]
[ROW][C]0.22[/C][C]19.0200670705829[/C][C]0.13725716387462[/C][/ROW]
[ROW][C]0.23[/C][C]19.0522679317156[/C][C]0.13419607758639[/C][/ROW]
[ROW][C]0.24[/C][C]19.0833413549039[/C][C]0.130289934783174[/C][/ROW]
[ROW][C]0.25[/C][C]19.1131710344359[/C][C]0.126219584486478[/C][/ROW]
[ROW][C]0.26[/C][C]19.1417703646302[/C][C]0.12254663806432[/C][/ROW]
[ROW][C]0.27[/C][C]19.169251982105[/C][C]0.119569993930831[/C][/ROW]
[ROW][C]0.28[/C][C]19.195787762232[/C][C]0.117401043378649[/C][/ROW]
[ROW][C]0.29[/C][C]19.221572894189[/C][C]0.116014697550507[/C][/ROW]
[ROW][C]0.3[/C][C]19.2468015612983[/C][C]0.115344259003212[/C][/ROW]
[ROW][C]0.31[/C][C]19.2716557457572[/C][C]0.115313942015165[/C][/ROW]
[ROW][C]0.32[/C][C]19.296304644162[/C][C]0.115930112413414[/C][/ROW]
[ROW][C]0.33[/C][C]19.3209105594959[/C][C]0.11717276557454[/C][/ROW]
[ROW][C]0.34[/C][C]19.3456372883401[/C][C]0.119149910892362[/C][/ROW]
[ROW][C]0.35[/C][C]19.37065792521[/C][C]0.121932797891719[/C][/ROW]
[ROW][C]0.36[/C][C]19.3961598657792[/C][C]0.125628977341601[/C][/ROW]
[ROW][C]0.37[/C][C]19.4223453391181[/C][C]0.13040848286357[/C][/ROW]
[ROW][C]0.38[/C][C]19.4494262273882[/C][C]0.136249852128604[/C][/ROW]
[ROW][C]0.39[/C][C]19.4776125959308[/C][C]0.143229991888159[/C][/ROW]
[ROW][C]0.4[/C][C]19.5070954580399[/C][C]0.151190392067482[/C][/ROW]
[ROW][C]0.41[/C][C]19.5380257077651[/C][C]0.159789185246855[/C][/ROW]
[ROW][C]0.42[/C][C]19.5704924534121[/C][C]0.168673437731311[/C][/ROW]
[ROW][C]0.43[/C][C]19.6045046785098[/C][C]0.177277926268468[/C][/ROW]
[ROW][C]0.44[/C][C]19.6399799258085[/C][C]0.185083163789048[/C][/ROW]
[ROW][C]0.45[/C][C]19.6767425599615[/C][C]0.191634816360424[/C][/ROW]
[ROW][C]0.46[/C][C]19.7145324608672[/C][C]0.196473529131654[/C][/ROW]
[ROW][C]0.47[/C][C]19.7530232415624[/C][C]0.199346931521233[/C][/ROW]
[ROW][C]0.48[/C][C]19.7918477192651[/C][C]0.200135075031315[/C][/ROW]
[ROW][C]0.49[/C][C]19.8306276107726[/C][C]0.198868654942232[/C][/ROW]
[ROW][C]0.5[/C][C]19.8690042248622[/C][C]0.195717819073508[/C][/ROW]
[ROW][C]0.51[/C][C]19.9066670789194[/C][C]0.191010261811569[/C][/ROW]
[ROW][C]0.52[/C][C]19.9433776843918[/C][C]0.185128135519232[/C][/ROW]
[ROW][C]0.53[/C][C]19.9789861793153[/C][C]0.178647328159054[/C][/ROW]
[ROW][C]0.54[/C][C]20.0134391405427[/C][C]0.172047349744527[/C][/ROW]
[ROW][C]0.55[/C][C]20.0467779211746[/C][C]0.16588033714252[/C][/ROW]
[ROW][C]0.56[/C][C]20.0791282328046[/C][C]0.16056411661275[/C][/ROW]
[ROW][C]0.57[/C][C]20.1106831865627[/C][C]0.156443777291326[/C][/ROW]
[ROW][C]0.58[/C][C]20.1416831705945[/C][C]0.153646635428151[/C][/ROW]
[ROW][C]0.59[/C][C]20.17239629499[/C][C]0.152241114764974[/C][/ROW]
[ROW][C]0.6[/C][C]20.2031024174445[/C][C]0.152211540663012[/C][/ROW]
[ROW][C]0.61[/C][C]20.2340821155357[/C][C]0.153433943484115[/C][/ROW]
[ROW][C]0.62[/C][C]20.2656099479813[/C][C]0.155871055198135[/C][/ROW]
[ROW][C]0.63[/C][C]20.2979497210385[/C][C]0.159481204024867[/C][/ROW]
[ROW][C]0.64[/C][C]20.3313489207203[/C][C]0.164185037118832[/C][/ROW]
[ROW][C]0.65[/C][C]20.3660302580401[/C][C]0.169809506306257[/C][/ROW]
[ROW][C]0.66[/C][C]20.4021801336447[/C][C]0.176194498133818[/C][/ROW]
[ROW][C]0.67[/C][C]20.4399360466073[/C][C]0.182958107511462[/C][/ROW]
[ROW][C]0.68[/C][C]20.4793766842922[/C][C]0.18975715608021[/C][/ROW]
[ROW][C]0.69[/C][C]20.5205189716793[/C][C]0.196215384927209[/C][/ROW]
[ROW][C]0.7[/C][C]20.5633255201537[/C][C]0.202033830150686[/C][/ROW]
[ROW][C]0.71[/C][C]20.6077239903165[/C][C]0.207017765841347[/C][/ROW]
[ROW][C]0.72[/C][C]20.6536374989771[/C][C]0.211208825963292[/C][/ROW]
[ROW][C]0.73[/C][C]20.7010230322465[/C][C]0.214803173843296[/C][/ROW]
[ROW][C]0.74[/C][C]20.7499133225711[/C][C]0.218198139151931[/C][/ROW]
[ROW][C]0.75[/C][C]20.8004568829934[/C][C]0.221963612915156[/C][/ROW]
[ROW][C]0.76[/C][C]20.8529506030505[/C][C]0.226763782906652[/C][/ROW]
[ROW][C]0.77[/C][C]20.9078590950337[/C][C]0.233326085038569[/C][/ROW]
[ROW][C]0.78[/C][C]20.9658146146878[/C][C]0.24228546834888[/C][/ROW]
[ROW][C]0.79[/C][C]21.0275911840586[/C][C]0.254122637476936[/C][/ROW]
[ROW][C]0.8[/C][C]21.0940476256369[/C][C]0.268997093902464[/C][/ROW]
[ROW][C]0.81[/C][C]21.1660383542092[/C][C]0.286555236770774[/C][/ROW]
[ROW][C]0.82[/C][C]21.2442995536994[/C][C]0.305964444183754[/C][/ROW]
[ROW][C]0.83[/C][C]21.3293314219396[/C][C]0.325804366911566[/C][/ROW]
[ROW][C]0.84[/C][C]21.4213100410964[/C][C]0.344305805479758[/C][/ROW]
[ROW][C]0.85[/C][C]21.520065799912[/C][C]0.359735336321965[/C][/ROW]
[ROW][C]0.86[/C][C]21.625148012864[/C][C]0.37086765775587[/C][/ROW]
[ROW][C]0.87[/C][C]21.7359526998315[/C][C]0.377331988446133[/C][/ROW]
[ROW][C]0.88[/C][C]21.8518345715188[/C][C]0.379620737131248[/C][/ROW]
[ROW][C]0.89[/C][C]21.9720885995633[/C][C]0.378455731831933[/C][/ROW]
[ROW][C]0.9[/C][C]22.0957142211305[/C][C]0.373556592040517[/C][/ROW]
[ROW][C]0.91[/C][C]22.2209894776862[/C][C]0.36288171593167[/C][/ROW]
[ROW][C]0.92[/C][C]22.3450548564787[/C][C]0.342835740367366[/C][/ROW]
[ROW][C]0.93[/C][C]22.4638480206744[/C][C]0.310104993753761[/C][/ROW]
[ROW][C]0.94[/C][C]22.5727113470048[/C][C]0.264146260566355[/C][/ROW]
[ROW][C]0.95[/C][C]22.667678724041[/C][C]0.209135769742273[/C][/ROW]
[ROW][C]0.96[/C][C]22.7467860550149[/C][C]0.153796015965243[/C][/ROW]
[ROW][C]0.97[/C][C]22.8101000266672[/C][C]0.107385271081096[/C][/ROW]
[ROW][C]0.98[/C][C]22.857724667815[/C][C]0.0704294722336124[/C][/ROW]
[ROW][C]0.99[/C][C]22.8879399798942[/C][C]0.0328768196006492[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=212973&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212973&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
0.0118.30358973059690.0115381912735275
0.0218.31494749503020.032150574299519
0.0318.33530553868950.0510759069744701
0.0418.36257032061150.0635162171817553
0.0518.39396164856020.0735717679120508
0.0618.42805608051820.0861320677059588
0.0718.46475669364440.101187216967475
0.0818.50420261675110.11559151426127
0.0918.54595701798320.126342488384716
0.118.58891829860560.131877455023305
0.1118.63170232046050.132404334726923
0.1218.6731080870090.129380767747187
0.1318.7124301431820.124993466156188
0.1418.74954885709440.121483401229164
0.1518.78482996610580.120399421997821
0.1618.81890934657790.122169185302322
0.1718.85244980569330.126174774377517
0.1818.88594409461480.131055677279571
0.1918.91960920036350.135405305945969
0.218.9533811909690.138135144439287
0.2118.98698889980880.138746072311704
0.2219.02006707058290.13725716387462
0.2319.05226793171560.13419607758639
0.2419.08334135490390.130289934783174
0.2519.11317103443590.126219584486478
0.2619.14177036463020.12254663806432
0.2719.1692519821050.119569993930831
0.2819.1957877622320.117401043378649
0.2919.2215728941890.116014697550507
0.319.24680156129830.115344259003212
0.3119.27165574575720.115313942015165
0.3219.2963046441620.115930112413414
0.3319.32091055949590.11717276557454
0.3419.34563728834010.119149910892362
0.3519.370657925210.121932797891719
0.3619.39615986577920.125628977341601
0.3719.42234533911810.13040848286357
0.3819.44942622738820.136249852128604
0.3919.47761259593080.143229991888159
0.419.50709545803990.151190392067482
0.4119.53802570776510.159789185246855
0.4219.57049245341210.168673437731311
0.4319.60450467850980.177277926268468
0.4419.63997992580850.185083163789048
0.4519.67674255996150.191634816360424
0.4619.71453246086720.196473529131654
0.4719.75302324156240.199346931521233
0.4819.79184771926510.200135075031315
0.4919.83062761077260.198868654942232
0.519.86900422486220.195717819073508
0.5119.90666707891940.191010261811569
0.5219.94337768439180.185128135519232
0.5319.97898617931530.178647328159054
0.5420.01343914054270.172047349744527
0.5520.04677792117460.16588033714252
0.5620.07912823280460.16056411661275
0.5720.11068318656270.156443777291326
0.5820.14168317059450.153646635428151
0.5920.172396294990.152241114764974
0.620.20310241744450.152211540663012
0.6120.23408211553570.153433943484115
0.6220.26560994798130.155871055198135
0.6320.29794972103850.159481204024867
0.6420.33134892072030.164185037118832
0.6520.36603025804010.169809506306257
0.6620.40218013364470.176194498133818
0.6720.43993604660730.182958107511462
0.6820.47937668429220.18975715608021
0.6920.52051897167930.196215384927209
0.720.56332552015370.202033830150686
0.7120.60772399031650.207017765841347
0.7220.65363749897710.211208825963292
0.7320.70102303224650.214803173843296
0.7420.74991332257110.218198139151931
0.7520.80045688299340.221963612915156
0.7620.85295060305050.226763782906652
0.7720.90785909503370.233326085038569
0.7820.96581461468780.24228546834888
0.7921.02759118405860.254122637476936
0.821.09404762563690.268997093902464
0.8121.16603835420920.286555236770774
0.8221.24429955369940.305964444183754
0.8321.32933142193960.325804366911566
0.8421.42131004109640.344305805479758
0.8521.5200657999120.359735336321965
0.8621.6251480128640.37086765775587
0.8721.73595269983150.377331988446133
0.8821.85183457151880.379620737131248
0.8921.97208859956330.378455731831933
0.922.09571422113050.373556592040517
0.9122.22098947768620.36288171593167
0.9222.34505485647870.342835740367366
0.9322.46384802067440.310104993753761
0.9422.57271134700480.264146260566355
0.9522.6676787240410.209135769742273
0.9622.74678605501490.153796015965243
0.9722.81010002666720.107385271081096
0.9822.8577246678150.0704294722336124
0.9922.88793997989420.0328768196006492


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')