FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 15 Feb 2014 13:44:03 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/15/t1392490008ox9pmrcrajnbl79.htm/, Retrieved Thu, 16 May 2024 13:25:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233710, Retrieved Thu, 16 May 2024 13:25:15 +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] [] [2014-02-15 18:44:03] [5f7d0cda5d8a9348873c82369b6851b6] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
28.33
28.67
28.81
28.99
29.16
29.25
29.25
29.38
29.48
29.65
29.69
29.73
29.81
30.05
30.29
30.37
30.50
30.67
30.72
30.73
30.76
30.82
30.84
30.86
30.92
30.95
30.97
30.99
31.09
31.18
31.19
31.20
31.31
31.34
31.35
31.36
31.37
31.37
31.39
31.39
31.42
31.47
31.48
31.51
31.54
31.55
31.55
31.57
31.66
31.68
31.70
31.70
31.73
31.74
31.75
31.78
31.80
31.82
31.82
31.90

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=233710&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=233710&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233710&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
0.0128.41012350801760.298485728820928
0.0228.52911525405210.257954795302659
0.0328.65546880072470.232919385821227
0.0428.77206097562390.224012411498954
0.0528.87483699598190.221306899230203
0.0628.96540794125940.217730319542648
0.0729.0463194478290.212043860174374
0.0829.11965393758610.206317801033123
0.0929.18712029925980.203331822812224
0.129.25031964854280.204798261437529
0.1129.3107970530920.210891741302542
0.1229.36994533101990.220553963842837
0.1329.42890318049420.232598993909833
0.1429.48852175631770.246127163396231
0.1529.54939895209360.260817226364938
0.1629.61194296938950.27666905207317
0.1729.67642469314030.293562236529467
0.1829.74299626571580.311180915285602
0.1929.81167544416880.328682800650088
0.229.88231149485480.344875357091072
0.2129.95455439579320.358302896693161
0.2230.02784582345890.36774568372739
0.2330.10144145585070.372145206005555
0.2430.17446384457190.370907500270918
0.2530.24597691355380.363977422525122
0.2630.31506881986820.351761264300237
0.2730.38092963214160.335075111258122
0.2830.44291307596750.315029141760526
0.2930.50057600002420.292768763157631
0.330.55369382908850.269582877675879
0.3130.60225408763220.246600464306244
0.3230.64643259996520.22487574470112
0.3330.68655813397860.205118765550683
0.3430.72307127293580.187961667350894
0.3530.75648251886670.173704839518398
0.3630.78733340977720.162475803169839
0.3730.81616307662620.154258302539391
0.3830.84348140343350.148782163727852
0.3930.86974893425730.145737085962051
0.430.89536297038320.144697714152
0.4130.92064893168020.145170502995116
0.4230.94585597598610.146759766629034
0.4330.97115599943010.148993273450638
0.4430.99664537988510.151390775823013
0.4531.02234907915190.153597633024062
0.4631.04822691257440.155201159851538
0.4731.07418188634730.155929093562712
0.4831.10007048664770.155520642680044
0.4931.12571470262120.15382695758985
0.531.15091541412730.150732764069058
0.5131.17546661387020.146312762904928
0.5231.19916979330260.140592700823198
0.5331.22184772228990.133781719304236
0.5431.2433568042280.126101696372962
0.5531.26359719670190.117827785639335
0.5631.28251995832280.109300837393339
0.5731.30013062199780.100877880574176
0.5831.31648880952370.0929277732951786
0.5931.33170379167630.0857057139690109
0.631.3459262492640.0795127312304258
0.6131.35933687520530.0745599439678181
0.6231.37213283101020.0709494751200732
0.6331.38451337743730.0686448704231515
0.6431.3966661802210.0674993564508701
0.6531.40875579697710.0673203939984384
0.6631.42091564803760.0678197791159563
0.6731.43324435644160.0687237779988048
0.6831.44580673882980.0697659062468409
0.6931.4586390053990.0707986004749782
0.731.4717569865030.0716845868819075
0.7131.48516557947940.0724047713609468
0.7231.49886724965270.0730075523664593
0.7331.51286745849070.0735765042897114
0.7431.52717541214420.0741871299254356
0.7531.54179951367210.0748754136229539
0.7631.55673822427450.0756239755196731
0.7731.57196842331310.0762495953179448
0.7831.58743444147410.0765911881559984
0.7931.60304135835830.0763343331918251
0.831.61865565266340.0752553742452225
0.8131.63411484881060.073184144049007
0.8231.64924568760380.0700802534148348
0.8331.66388807866520.0660480533052375
0.8431.67792028640840.061346356625475
0.8531.69127996320180.0563714018462889
0.8631.70397598266880.0514997922513393
0.8731.71608741389910.0471256806287915
0.8831.72774810334550.0435078084574382
0.8931.73911804666580.0407561763250454
0.931.75034647996480.0387505105470858
0.9131.76153771772280.0371843954840495
0.9231.77274091486030.035601164718008
0.9331.78399826887040.0335665939622464
0.9431.79549102669060.0309457047369174
0.9531.80778300572790.0283423293995253
0.9631.82201570661860.0279098221033896
0.9731.83963916096610.0334484713334455
0.9831.86110244019230.0467950856749305
0.9931.8835847832710.064490733941322

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 28.4101235080176 & 0.298485728820928 \tabularnewline
0.02 & 28.5291152540521 & 0.257954795302659 \tabularnewline
0.03 & 28.6554688007247 & 0.232919385821227 \tabularnewline
0.04 & 28.7720609756239 & 0.224012411498954 \tabularnewline
0.05 & 28.8748369959819 & 0.221306899230203 \tabularnewline
0.06 & 28.9654079412594 & 0.217730319542648 \tabularnewline
0.07 & 29.046319447829 & 0.212043860174374 \tabularnewline
0.08 & 29.1196539375861 & 0.206317801033123 \tabularnewline
0.09 & 29.1871202992598 & 0.203331822812224 \tabularnewline
0.1 & 29.2503196485428 & 0.204798261437529 \tabularnewline
0.11 & 29.310797053092 & 0.210891741302542 \tabularnewline
0.12 & 29.3699453310199 & 0.220553963842837 \tabularnewline
0.13 & 29.4289031804942 & 0.232598993909833 \tabularnewline
0.14 & 29.4885217563177 & 0.246127163396231 \tabularnewline
0.15 & 29.5493989520936 & 0.260817226364938 \tabularnewline
0.16 & 29.6119429693895 & 0.27666905207317 \tabularnewline
0.17 & 29.6764246931403 & 0.293562236529467 \tabularnewline
0.18 & 29.7429962657158 & 0.311180915285602 \tabularnewline
0.19 & 29.8116754441688 & 0.328682800650088 \tabularnewline
0.2 & 29.8823114948548 & 0.344875357091072 \tabularnewline
0.21 & 29.9545543957932 & 0.358302896693161 \tabularnewline
0.22 & 30.0278458234589 & 0.36774568372739 \tabularnewline
0.23 & 30.1014414558507 & 0.372145206005555 \tabularnewline
0.24 & 30.1744638445719 & 0.370907500270918 \tabularnewline
0.25 & 30.2459769135538 & 0.363977422525122 \tabularnewline
0.26 & 30.3150688198682 & 0.351761264300237 \tabularnewline
0.27 & 30.3809296321416 & 0.335075111258122 \tabularnewline
0.28 & 30.4429130759675 & 0.315029141760526 \tabularnewline
0.29 & 30.5005760000242 & 0.292768763157631 \tabularnewline
0.3 & 30.5536938290885 & 0.269582877675879 \tabularnewline
0.31 & 30.6022540876322 & 0.246600464306244 \tabularnewline
0.32 & 30.6464325999652 & 0.22487574470112 \tabularnewline
0.33 & 30.6865581339786 & 0.205118765550683 \tabularnewline
0.34 & 30.7230712729358 & 0.187961667350894 \tabularnewline
0.35 & 30.7564825188667 & 0.173704839518398 \tabularnewline
0.36 & 30.7873334097772 & 0.162475803169839 \tabularnewline
0.37 & 30.8161630766262 & 0.154258302539391 \tabularnewline
0.38 & 30.8434814034335 & 0.148782163727852 \tabularnewline
0.39 & 30.8697489342573 & 0.145737085962051 \tabularnewline
0.4 & 30.8953629703832 & 0.144697714152 \tabularnewline
0.41 & 30.9206489316802 & 0.145170502995116 \tabularnewline
0.42 & 30.9458559759861 & 0.146759766629034 \tabularnewline
0.43 & 30.9711559994301 & 0.148993273450638 \tabularnewline
0.44 & 30.9966453798851 & 0.151390775823013 \tabularnewline
0.45 & 31.0223490791519 & 0.153597633024062 \tabularnewline
0.46 & 31.0482269125744 & 0.155201159851538 \tabularnewline
0.47 & 31.0741818863473 & 0.155929093562712 \tabularnewline
0.48 & 31.1000704866477 & 0.155520642680044 \tabularnewline
0.49 & 31.1257147026212 & 0.15382695758985 \tabularnewline
0.5 & 31.1509154141273 & 0.150732764069058 \tabularnewline
0.51 & 31.1754666138702 & 0.146312762904928 \tabularnewline
0.52 & 31.1991697933026 & 0.140592700823198 \tabularnewline
0.53 & 31.2218477222899 & 0.133781719304236 \tabularnewline
0.54 & 31.243356804228 & 0.126101696372962 \tabularnewline
0.55 & 31.2635971967019 & 0.117827785639335 \tabularnewline
0.56 & 31.2825199583228 & 0.109300837393339 \tabularnewline
0.57 & 31.3001306219978 & 0.100877880574176 \tabularnewline
0.58 & 31.3164888095237 & 0.0929277732951786 \tabularnewline
0.59 & 31.3317037916763 & 0.0857057139690109 \tabularnewline
0.6 & 31.345926249264 & 0.0795127312304258 \tabularnewline
0.61 & 31.3593368752053 & 0.0745599439678181 \tabularnewline
0.62 & 31.3721328310102 & 0.0709494751200732 \tabularnewline
0.63 & 31.3845133774373 & 0.0686448704231515 \tabularnewline
0.64 & 31.396666180221 & 0.0674993564508701 \tabularnewline
0.65 & 31.4087557969771 & 0.0673203939984384 \tabularnewline
0.66 & 31.4209156480376 & 0.0678197791159563 \tabularnewline
0.67 & 31.4332443564416 & 0.0687237779988048 \tabularnewline
0.68 & 31.4458067388298 & 0.0697659062468409 \tabularnewline
0.69 & 31.458639005399 & 0.0707986004749782 \tabularnewline
0.7 & 31.471756986503 & 0.0716845868819075 \tabularnewline
0.71 & 31.4851655794794 & 0.0724047713609468 \tabularnewline
0.72 & 31.4988672496527 & 0.0730075523664593 \tabularnewline
0.73 & 31.5128674584907 & 0.0735765042897114 \tabularnewline
0.74 & 31.5271754121442 & 0.0741871299254356 \tabularnewline
0.75 & 31.5417995136721 & 0.0748754136229539 \tabularnewline
0.76 & 31.5567382242745 & 0.0756239755196731 \tabularnewline
0.77 & 31.5719684233131 & 0.0762495953179448 \tabularnewline
0.78 & 31.5874344414741 & 0.0765911881559984 \tabularnewline
0.79 & 31.6030413583583 & 0.0763343331918251 \tabularnewline
0.8 & 31.6186556526634 & 0.0752553742452225 \tabularnewline
0.81 & 31.6341148488106 & 0.073184144049007 \tabularnewline
0.82 & 31.6492456876038 & 0.0700802534148348 \tabularnewline
0.83 & 31.6638880786652 & 0.0660480533052375 \tabularnewline
0.84 & 31.6779202864084 & 0.061346356625475 \tabularnewline
0.85 & 31.6912799632018 & 0.0563714018462889 \tabularnewline
0.86 & 31.7039759826688 & 0.0514997922513393 \tabularnewline
0.87 & 31.7160874138991 & 0.0471256806287915 \tabularnewline
0.88 & 31.7277481033455 & 0.0435078084574382 \tabularnewline
0.89 & 31.7391180466658 & 0.0407561763250454 \tabularnewline
0.9 & 31.7503464799648 & 0.0387505105470858 \tabularnewline
0.91 & 31.7615377177228 & 0.0371843954840495 \tabularnewline
0.92 & 31.7727409148603 & 0.035601164718008 \tabularnewline
0.93 & 31.7839982688704 & 0.0335665939622464 \tabularnewline
0.94 & 31.7954910266906 & 0.0309457047369174 \tabularnewline
0.95 & 31.8077830057279 & 0.0283423293995253 \tabularnewline
0.96 & 31.8220157066186 & 0.0279098221033896 \tabularnewline
0.97 & 31.8396391609661 & 0.0334484713334455 \tabularnewline
0.98 & 31.8611024401923 & 0.0467950856749305 \tabularnewline
0.99 & 31.883584783271 & 0.064490733941322 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233710&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]28.4101235080176[/C][C]0.298485728820928[/C][/ROW]
[ROW][C]0.02[/C][C]28.5291152540521[/C][C]0.257954795302659[/C][/ROW]
[ROW][C]0.03[/C][C]28.6554688007247[/C][C]0.232919385821227[/C][/ROW]
[ROW][C]0.04[/C][C]28.7720609756239[/C][C]0.224012411498954[/C][/ROW]
[ROW][C]0.05[/C][C]28.8748369959819[/C][C]0.221306899230203[/C][/ROW]
[ROW][C]0.06[/C][C]28.9654079412594[/C][C]0.217730319542648[/C][/ROW]
[ROW][C]0.07[/C][C]29.046319447829[/C][C]0.212043860174374[/C][/ROW]
[ROW][C]0.08[/C][C]29.1196539375861[/C][C]0.206317801033123[/C][/ROW]
[ROW][C]0.09[/C][C]29.1871202992598[/C][C]0.203331822812224[/C][/ROW]
[ROW][C]0.1[/C][C]29.2503196485428[/C][C]0.204798261437529[/C][/ROW]
[ROW][C]0.11[/C][C]29.310797053092[/C][C]0.210891741302542[/C][/ROW]
[ROW][C]0.12[/C][C]29.3699453310199[/C][C]0.220553963842837[/C][/ROW]
[ROW][C]0.13[/C][C]29.4289031804942[/C][C]0.232598993909833[/C][/ROW]
[ROW][C]0.14[/C][C]29.4885217563177[/C][C]0.246127163396231[/C][/ROW]
[ROW][C]0.15[/C][C]29.5493989520936[/C][C]0.260817226364938[/C][/ROW]
[ROW][C]0.16[/C][C]29.6119429693895[/C][C]0.27666905207317[/C][/ROW]
[ROW][C]0.17[/C][C]29.6764246931403[/C][C]0.293562236529467[/C][/ROW]
[ROW][C]0.18[/C][C]29.7429962657158[/C][C]0.311180915285602[/C][/ROW]
[ROW][C]0.19[/C][C]29.8116754441688[/C][C]0.328682800650088[/C][/ROW]
[ROW][C]0.2[/C][C]29.8823114948548[/C][C]0.344875357091072[/C][/ROW]
[ROW][C]0.21[/C][C]29.9545543957932[/C][C]0.358302896693161[/C][/ROW]
[ROW][C]0.22[/C][C]30.0278458234589[/C][C]0.36774568372739[/C][/ROW]
[ROW][C]0.23[/C][C]30.1014414558507[/C][C]0.372145206005555[/C][/ROW]
[ROW][C]0.24[/C][C]30.1744638445719[/C][C]0.370907500270918[/C][/ROW]
[ROW][C]0.25[/C][C]30.2459769135538[/C][C]0.363977422525122[/C][/ROW]
[ROW][C]0.26[/C][C]30.3150688198682[/C][C]0.351761264300237[/C][/ROW]
[ROW][C]0.27[/C][C]30.3809296321416[/C][C]0.335075111258122[/C][/ROW]
[ROW][C]0.28[/C][C]30.4429130759675[/C][C]0.315029141760526[/C][/ROW]
[ROW][C]0.29[/C][C]30.5005760000242[/C][C]0.292768763157631[/C][/ROW]
[ROW][C]0.3[/C][C]30.5536938290885[/C][C]0.269582877675879[/C][/ROW]
[ROW][C]0.31[/C][C]30.6022540876322[/C][C]0.246600464306244[/C][/ROW]
[ROW][C]0.32[/C][C]30.6464325999652[/C][C]0.22487574470112[/C][/ROW]
[ROW][C]0.33[/C][C]30.6865581339786[/C][C]0.205118765550683[/C][/ROW]
[ROW][C]0.34[/C][C]30.7230712729358[/C][C]0.187961667350894[/C][/ROW]
[ROW][C]0.35[/C][C]30.7564825188667[/C][C]0.173704839518398[/C][/ROW]
[ROW][C]0.36[/C][C]30.7873334097772[/C][C]0.162475803169839[/C][/ROW]
[ROW][C]0.37[/C][C]30.8161630766262[/C][C]0.154258302539391[/C][/ROW]
[ROW][C]0.38[/C][C]30.8434814034335[/C][C]0.148782163727852[/C][/ROW]
[ROW][C]0.39[/C][C]30.8697489342573[/C][C]0.145737085962051[/C][/ROW]
[ROW][C]0.4[/C][C]30.8953629703832[/C][C]0.144697714152[/C][/ROW]
[ROW][C]0.41[/C][C]30.9206489316802[/C][C]0.145170502995116[/C][/ROW]
[ROW][C]0.42[/C][C]30.9458559759861[/C][C]0.146759766629034[/C][/ROW]
[ROW][C]0.43[/C][C]30.9711559994301[/C][C]0.148993273450638[/C][/ROW]
[ROW][C]0.44[/C][C]30.9966453798851[/C][C]0.151390775823013[/C][/ROW]
[ROW][C]0.45[/C][C]31.0223490791519[/C][C]0.153597633024062[/C][/ROW]
[ROW][C]0.46[/C][C]31.0482269125744[/C][C]0.155201159851538[/C][/ROW]
[ROW][C]0.47[/C][C]31.0741818863473[/C][C]0.155929093562712[/C][/ROW]
[ROW][C]0.48[/C][C]31.1000704866477[/C][C]0.155520642680044[/C][/ROW]
[ROW][C]0.49[/C][C]31.1257147026212[/C][C]0.15382695758985[/C][/ROW]
[ROW][C]0.5[/C][C]31.1509154141273[/C][C]0.150732764069058[/C][/ROW]
[ROW][C]0.51[/C][C]31.1754666138702[/C][C]0.146312762904928[/C][/ROW]
[ROW][C]0.52[/C][C]31.1991697933026[/C][C]0.140592700823198[/C][/ROW]
[ROW][C]0.53[/C][C]31.2218477222899[/C][C]0.133781719304236[/C][/ROW]
[ROW][C]0.54[/C][C]31.243356804228[/C][C]0.126101696372962[/C][/ROW]
[ROW][C]0.55[/C][C]31.2635971967019[/C][C]0.117827785639335[/C][/ROW]
[ROW][C]0.56[/C][C]31.2825199583228[/C][C]0.109300837393339[/C][/ROW]
[ROW][C]0.57[/C][C]31.3001306219978[/C][C]0.100877880574176[/C][/ROW]
[ROW][C]0.58[/C][C]31.3164888095237[/C][C]0.0929277732951786[/C][/ROW]
[ROW][C]0.59[/C][C]31.3317037916763[/C][C]0.0857057139690109[/C][/ROW]
[ROW][C]0.6[/C][C]31.345926249264[/C][C]0.0795127312304258[/C][/ROW]
[ROW][C]0.61[/C][C]31.3593368752053[/C][C]0.0745599439678181[/C][/ROW]
[ROW][C]0.62[/C][C]31.3721328310102[/C][C]0.0709494751200732[/C][/ROW]
[ROW][C]0.63[/C][C]31.3845133774373[/C][C]0.0686448704231515[/C][/ROW]
[ROW][C]0.64[/C][C]31.396666180221[/C][C]0.0674993564508701[/C][/ROW]
[ROW][C]0.65[/C][C]31.4087557969771[/C][C]0.0673203939984384[/C][/ROW]
[ROW][C]0.66[/C][C]31.4209156480376[/C][C]0.0678197791159563[/C][/ROW]
[ROW][C]0.67[/C][C]31.4332443564416[/C][C]0.0687237779988048[/C][/ROW]
[ROW][C]0.68[/C][C]31.4458067388298[/C][C]0.0697659062468409[/C][/ROW]
[ROW][C]0.69[/C][C]31.458639005399[/C][C]0.0707986004749782[/C][/ROW]
[ROW][C]0.7[/C][C]31.471756986503[/C][C]0.0716845868819075[/C][/ROW]
[ROW][C]0.71[/C][C]31.4851655794794[/C][C]0.0724047713609468[/C][/ROW]
[ROW][C]0.72[/C][C]31.4988672496527[/C][C]0.0730075523664593[/C][/ROW]
[ROW][C]0.73[/C][C]31.5128674584907[/C][C]0.0735765042897114[/C][/ROW]
[ROW][C]0.74[/C][C]31.5271754121442[/C][C]0.0741871299254356[/C][/ROW]
[ROW][C]0.75[/C][C]31.5417995136721[/C][C]0.0748754136229539[/C][/ROW]
[ROW][C]0.76[/C][C]31.5567382242745[/C][C]0.0756239755196731[/C][/ROW]
[ROW][C]0.77[/C][C]31.5719684233131[/C][C]0.0762495953179448[/C][/ROW]
[ROW][C]0.78[/C][C]31.5874344414741[/C][C]0.0765911881559984[/C][/ROW]
[ROW][C]0.79[/C][C]31.6030413583583[/C][C]0.0763343331918251[/C][/ROW]
[ROW][C]0.8[/C][C]31.6186556526634[/C][C]0.0752553742452225[/C][/ROW]
[ROW][C]0.81[/C][C]31.6341148488106[/C][C]0.073184144049007[/C][/ROW]
[ROW][C]0.82[/C][C]31.6492456876038[/C][C]0.0700802534148348[/C][/ROW]
[ROW][C]0.83[/C][C]31.6638880786652[/C][C]0.0660480533052375[/C][/ROW]
[ROW][C]0.84[/C][C]31.6779202864084[/C][C]0.061346356625475[/C][/ROW]
[ROW][C]0.85[/C][C]31.6912799632018[/C][C]0.0563714018462889[/C][/ROW]
[ROW][C]0.86[/C][C]31.7039759826688[/C][C]0.0514997922513393[/C][/ROW]
[ROW][C]0.87[/C][C]31.7160874138991[/C][C]0.0471256806287915[/C][/ROW]
[ROW][C]0.88[/C][C]31.7277481033455[/C][C]0.0435078084574382[/C][/ROW]
[ROW][C]0.89[/C][C]31.7391180466658[/C][C]0.0407561763250454[/C][/ROW]
[ROW][C]0.9[/C][C]31.7503464799648[/C][C]0.0387505105470858[/C][/ROW]
[ROW][C]0.91[/C][C]31.7615377177228[/C][C]0.0371843954840495[/C][/ROW]
[ROW][C]0.92[/C][C]31.7727409148603[/C][C]0.035601164718008[/C][/ROW]
[ROW][C]0.93[/C][C]31.7839982688704[/C][C]0.0335665939622464[/C][/ROW]
[ROW][C]0.94[/C][C]31.7954910266906[/C][C]0.0309457047369174[/C][/ROW]
[ROW][C]0.95[/C][C]31.8077830057279[/C][C]0.0283423293995253[/C][/ROW]
[ROW][C]0.96[/C][C]31.8220157066186[/C][C]0.0279098221033896[/C][/ROW]
[ROW][C]0.97[/C][C]31.8396391609661[/C][C]0.0334484713334455[/C][/ROW]
[ROW][C]0.98[/C][C]31.8611024401923[/C][C]0.0467950856749305[/C][/ROW]
[ROW][C]0.99[/C][C]31.883584783271[/C][C]0.064490733941322[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233710&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233710&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
0.0128.41012350801760.298485728820928
0.0228.52911525405210.257954795302659
0.0328.65546880072470.232919385821227
0.0428.77206097562390.224012411498954
0.0528.87483699598190.221306899230203
0.0628.96540794125940.217730319542648
0.0729.0463194478290.212043860174374
0.0829.11965393758610.206317801033123
0.0929.18712029925980.203331822812224
0.129.25031964854280.204798261437529
0.1129.3107970530920.210891741302542
0.1229.36994533101990.220553963842837
0.1329.42890318049420.232598993909833
0.1429.48852175631770.246127163396231
0.1529.54939895209360.260817226364938
0.1629.61194296938950.27666905207317
0.1729.67642469314030.293562236529467
0.1829.74299626571580.311180915285602
0.1929.81167544416880.328682800650088
0.229.88231149485480.344875357091072
0.2129.95455439579320.358302896693161
0.2230.02784582345890.36774568372739
0.2330.10144145585070.372145206005555
0.2430.17446384457190.370907500270918
0.2530.24597691355380.363977422525122
0.2630.31506881986820.351761264300237
0.2730.38092963214160.335075111258122
0.2830.44291307596750.315029141760526
0.2930.50057600002420.292768763157631
0.330.55369382908850.269582877675879
0.3130.60225408763220.246600464306244
0.3230.64643259996520.22487574470112
0.3330.68655813397860.205118765550683
0.3430.72307127293580.187961667350894
0.3530.75648251886670.173704839518398
0.3630.78733340977720.162475803169839
0.3730.81616307662620.154258302539391
0.3830.84348140343350.148782163727852
0.3930.86974893425730.145737085962051
0.430.89536297038320.144697714152
0.4130.92064893168020.145170502995116
0.4230.94585597598610.146759766629034
0.4330.97115599943010.148993273450638
0.4430.99664537988510.151390775823013
0.4531.02234907915190.153597633024062
0.4631.04822691257440.155201159851538
0.4731.07418188634730.155929093562712
0.4831.10007048664770.155520642680044
0.4931.12571470262120.15382695758985
0.531.15091541412730.150732764069058
0.5131.17546661387020.146312762904928
0.5231.19916979330260.140592700823198
0.5331.22184772228990.133781719304236
0.5431.2433568042280.126101696372962
0.5531.26359719670190.117827785639335
0.5631.28251995832280.109300837393339
0.5731.30013062199780.100877880574176
0.5831.31648880952370.0929277732951786
0.5931.33170379167630.0857057139690109
0.631.3459262492640.0795127312304258
0.6131.35933687520530.0745599439678181
0.6231.37213283101020.0709494751200732
0.6331.38451337743730.0686448704231515
0.6431.3966661802210.0674993564508701
0.6531.40875579697710.0673203939984384
0.6631.42091564803760.0678197791159563
0.6731.43324435644160.0687237779988048
0.6831.44580673882980.0697659062468409
0.6931.4586390053990.0707986004749782
0.731.4717569865030.0716845868819075
0.7131.48516557947940.0724047713609468
0.7231.49886724965270.0730075523664593
0.7331.51286745849070.0735765042897114
0.7431.52717541214420.0741871299254356
0.7531.54179951367210.0748754136229539
0.7631.55673822427450.0756239755196731
0.7731.57196842331310.0762495953179448
0.7831.58743444147410.0765911881559984
0.7931.60304135835830.0763343331918251
0.831.61865565266340.0752553742452225
0.8131.63411484881060.073184144049007
0.8231.64924568760380.0700802534148348
0.8331.66388807866520.0660480533052375
0.8431.67792028640840.061346356625475
0.8531.69127996320180.0563714018462889
0.8631.70397598266880.0514997922513393
0.8731.71608741389910.0471256806287915
0.8831.72774810334550.0435078084574382
0.8931.73911804666580.0407561763250454
0.931.75034647996480.0387505105470858
0.9131.76153771772280.0371843954840495
0.9231.77274091486030.035601164718008
0.9331.78399826887040.0335665939622464
0.9431.79549102669060.0309457047369174
0.9531.80778300572790.0283423293995253
0.9631.82201570661860.0279098221033896
0.9731.83963916096610.0334484713334455
0.9831.86110244019230.0467950856749305
0.9931.8835847832710.064490733941322


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')