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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 computationWed, 22 Feb 2012 11:13:59 -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/2012/Feb/22/t1329927254l35co831yghm9jf.htm/, Retrieved Mon, 06 May 2024 14:04:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163100, Retrieved Mon, 06 May 2024 14:04:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact96

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] [] [2012-02-22 16:13:59] [2d897010b3abf24abba169db0d9c5a05] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
67.22
67.31
67.14
67.22
67.17
67.27
67.27
67.27
67.48
67.38
67.22
67.2
67.2
67.19
67.32
67.61
67.85
67.74
67.74
67.61
67.85
67.89
67.97
67.94
67.94
68.07
67.85
67.84
67.89
67.86
67.86
67.89
67.7
68.05
68.18
68.19
68.19
68.27
68.22
68.14
68.36
68.34
68.34
68.24
68.14
68.23
68.09
68.03
68.03
67.89
67.63
67.61
67.41
67.29
67.29
67.49
67.68
68.05
67.7
67.86

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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163100&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163100&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163100&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0167.14734771198560.0270651518293329
0.0267.15828806668940.0238843862761535
0.0367.16978343591240.0209635166956376
0.0467.18008475162640.0186652917422405
0.0567.18878145865060.0172047102923209
0.0667.19617213364640.0167930452556833
0.0767.20275578020150.0175425898542393
0.0867.20898763208750.0192036075214885
0.0967.21520271235550.0213893345535182
0.167.22161181967210.0238937530676824
0.1167.22832295732990.0263536867339942
0.1267.23537126298390.0287269876737896
0.1367.24275174924530.0308046147824495
0.1467.2504516484230.0327790829897726
0.1567.25847885828680.0349448601734631
0.1667.26688260320490.0375660700200146
0.1767.27576310013040.0410573636875077
0.1867.28526886933110.0456221591728432
0.1967.29558274000820.0514062874329513
0.267.30689971784080.058428267760448
0.2167.31940109133050.0663346800249232
0.2267.33322929253540.0749125666944866
0.2367.34846730791070.083773334920792
0.2467.3651252359960.0922871671773751
0.2567.38313526542920.100252330096497
0.2667.40235513378380.107188310841737
0.2767.42257913574110.112772486803288
0.2867.4435550095950.116785075931002
0.2967.46500454468140.11909345565391
0.367.48664551696440.119873525514584
0.3167.50821257569020.119191652414427
0.3267.52947496300920.117283988491095
0.3367.55024942282280.11434444625621
0.3467.5704072899260.11087548078053
0.3567.58987546691150.107190109342049
0.3667.60863170291380.10352446610375
0.3767.62669519752580.100196483980117
0.3867.64411399675210.0971885959032083
0.3967.66095088667860.094712154302391
0.467.67726951742930.0926072653019504
0.4167.69312232477340.09083040378906
0.4267.70854149737090.0890983087727673
0.4367.72353381097290.0872796778381621
0.4467.73807966621740.0850920092089214
0.4567.75213617299770.0825722411273031
0.4667.76564366995830.0794768538344665
0.4767.77853469922260.0758420430640258
0.4867.79074421593570.0716673164579315
0.4967.80221973026580.0670737069664887
0.567.8129301675070.0622763196043364
0.5167.82287247548750.0573673056684509
0.5267.83207536614580.0527350958917886
0.5367.8405999870490.0484747598265509
0.5467.84853770694860.044833875752901
0.5567.85600550244880.041964871063084
0.5667.86313960819250.0400711213377397
0.5767.87008813063820.039203420882584
0.5867.87700324914020.0392851463513934
0.5967.88403348701960.0403478079145389
0.667.89131638969770.0421426854548446
0.6167.89897184957630.0446257533927549
0.6267.90709629778440.0475134523693897
0.6367.91575803812680.0507428800489437
0.6467.92499409267980.0540787691872876
0.6567.93480900221530.0572623281119745
0.6667.94517601246240.0601010763202997
0.6767.95604092806350.0624243857092555
0.6867.96732861269330.0641349815991847
0.6967.97895168525180.0651957909109519
0.767.99082048526510.0656317371407906
0.7168.00285296862080.0654947275783111
0.7268.01498297222230.0649329183087196
0.7368.0271653567030.0641226829589874
0.7468.03937694902390.0632637683147351
0.7568.0516129308220.0623987763603072
0.7668.06387923561880.0616615802977149
0.7768.07618243833010.0610293963322515
0.7868.08851932095750.0604397803163004
0.7968.10086857902360.0596600177768291
0.868.113186878630.0586198749957687
0.8168.12541070264580.0571593856925959
0.8268.13746431077790.0551920961744117
0.8368.1492729869660.0527572584601972
0.8468.16077990691440.0499250881867496
0.8568.17196466633830.0469023650756383
0.8668.18286169558450.043956751042835
0.8768.19357690574460.041333927711372
0.8868.20429998424610.0393630002916733
0.8968.21530682929990.0384326193059684
0.968.22694183367780.0387479470023566
0.9168.23956588382670.0404615170923442
0.9268.25345939625350.0432350024853381
0.9368.26868849274920.0461572088158559
0.9468.28497851085880.0477180802895808
0.9568.3016749676840.0462158732231809
0.9668.31786215449020.040679431286638
0.9768.33260377428790.0319834012022362
0.9868.34510130084040.0234168002739458
0.9968.35455811807550.0193426043042311

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 67.1473477119856 & 0.0270651518293329 \tabularnewline
0.02 & 67.1582880666894 & 0.0238843862761535 \tabularnewline
0.03 & 67.1697834359124 & 0.0209635166956376 \tabularnewline
0.04 & 67.1800847516264 & 0.0186652917422405 \tabularnewline
0.05 & 67.1887814586506 & 0.0172047102923209 \tabularnewline
0.06 & 67.1961721336464 & 0.0167930452556833 \tabularnewline
0.07 & 67.2027557802015 & 0.0175425898542393 \tabularnewline
0.08 & 67.2089876320875 & 0.0192036075214885 \tabularnewline
0.09 & 67.2152027123555 & 0.0213893345535182 \tabularnewline
0.1 & 67.2216118196721 & 0.0238937530676824 \tabularnewline
0.11 & 67.2283229573299 & 0.0263536867339942 \tabularnewline
0.12 & 67.2353712629839 & 0.0287269876737896 \tabularnewline
0.13 & 67.2427517492453 & 0.0308046147824495 \tabularnewline
0.14 & 67.250451648423 & 0.0327790829897726 \tabularnewline
0.15 & 67.2584788582868 & 0.0349448601734631 \tabularnewline
0.16 & 67.2668826032049 & 0.0375660700200146 \tabularnewline
0.17 & 67.2757631001304 & 0.0410573636875077 \tabularnewline
0.18 & 67.2852688693311 & 0.0456221591728432 \tabularnewline
0.19 & 67.2955827400082 & 0.0514062874329513 \tabularnewline
0.2 & 67.3068997178408 & 0.058428267760448 \tabularnewline
0.21 & 67.3194010913305 & 0.0663346800249232 \tabularnewline
0.22 & 67.3332292925354 & 0.0749125666944866 \tabularnewline
0.23 & 67.3484673079107 & 0.083773334920792 \tabularnewline
0.24 & 67.365125235996 & 0.0922871671773751 \tabularnewline
0.25 & 67.3831352654292 & 0.100252330096497 \tabularnewline
0.26 & 67.4023551337838 & 0.107188310841737 \tabularnewline
0.27 & 67.4225791357411 & 0.112772486803288 \tabularnewline
0.28 & 67.443555009595 & 0.116785075931002 \tabularnewline
0.29 & 67.4650045446814 & 0.11909345565391 \tabularnewline
0.3 & 67.4866455169644 & 0.119873525514584 \tabularnewline
0.31 & 67.5082125756902 & 0.119191652414427 \tabularnewline
0.32 & 67.5294749630092 & 0.117283988491095 \tabularnewline
0.33 & 67.5502494228228 & 0.11434444625621 \tabularnewline
0.34 & 67.570407289926 & 0.11087548078053 \tabularnewline
0.35 & 67.5898754669115 & 0.107190109342049 \tabularnewline
0.36 & 67.6086317029138 & 0.10352446610375 \tabularnewline
0.37 & 67.6266951975258 & 0.100196483980117 \tabularnewline
0.38 & 67.6441139967521 & 0.0971885959032083 \tabularnewline
0.39 & 67.6609508866786 & 0.094712154302391 \tabularnewline
0.4 & 67.6772695174293 & 0.0926072653019504 \tabularnewline
0.41 & 67.6931223247734 & 0.09083040378906 \tabularnewline
0.42 & 67.7085414973709 & 0.0890983087727673 \tabularnewline
0.43 & 67.7235338109729 & 0.0872796778381621 \tabularnewline
0.44 & 67.7380796662174 & 0.0850920092089214 \tabularnewline
0.45 & 67.7521361729977 & 0.0825722411273031 \tabularnewline
0.46 & 67.7656436699583 & 0.0794768538344665 \tabularnewline
0.47 & 67.7785346992226 & 0.0758420430640258 \tabularnewline
0.48 & 67.7907442159357 & 0.0716673164579315 \tabularnewline
0.49 & 67.8022197302658 & 0.0670737069664887 \tabularnewline
0.5 & 67.812930167507 & 0.0622763196043364 \tabularnewline
0.51 & 67.8228724754875 & 0.0573673056684509 \tabularnewline
0.52 & 67.8320753661458 & 0.0527350958917886 \tabularnewline
0.53 & 67.840599987049 & 0.0484747598265509 \tabularnewline
0.54 & 67.8485377069486 & 0.044833875752901 \tabularnewline
0.55 & 67.8560055024488 & 0.041964871063084 \tabularnewline
0.56 & 67.8631396081925 & 0.0400711213377397 \tabularnewline
0.57 & 67.8700881306382 & 0.039203420882584 \tabularnewline
0.58 & 67.8770032491402 & 0.0392851463513934 \tabularnewline
0.59 & 67.8840334870196 & 0.0403478079145389 \tabularnewline
0.6 & 67.8913163896977 & 0.0421426854548446 \tabularnewline
0.61 & 67.8989718495763 & 0.0446257533927549 \tabularnewline
0.62 & 67.9070962977844 & 0.0475134523693897 \tabularnewline
0.63 & 67.9157580381268 & 0.0507428800489437 \tabularnewline
0.64 & 67.9249940926798 & 0.0540787691872876 \tabularnewline
0.65 & 67.9348090022153 & 0.0572623281119745 \tabularnewline
0.66 & 67.9451760124624 & 0.0601010763202997 \tabularnewline
0.67 & 67.9560409280635 & 0.0624243857092555 \tabularnewline
0.68 & 67.9673286126933 & 0.0641349815991847 \tabularnewline
0.69 & 67.9789516852518 & 0.0651957909109519 \tabularnewline
0.7 & 67.9908204852651 & 0.0656317371407906 \tabularnewline
0.71 & 68.0028529686208 & 0.0654947275783111 \tabularnewline
0.72 & 68.0149829722223 & 0.0649329183087196 \tabularnewline
0.73 & 68.027165356703 & 0.0641226829589874 \tabularnewline
0.74 & 68.0393769490239 & 0.0632637683147351 \tabularnewline
0.75 & 68.051612930822 & 0.0623987763603072 \tabularnewline
0.76 & 68.0638792356188 & 0.0616615802977149 \tabularnewline
0.77 & 68.0761824383301 & 0.0610293963322515 \tabularnewline
0.78 & 68.0885193209575 & 0.0604397803163004 \tabularnewline
0.79 & 68.1008685790236 & 0.0596600177768291 \tabularnewline
0.8 & 68.11318687863 & 0.0586198749957687 \tabularnewline
0.81 & 68.1254107026458 & 0.0571593856925959 \tabularnewline
0.82 & 68.1374643107779 & 0.0551920961744117 \tabularnewline
0.83 & 68.149272986966 & 0.0527572584601972 \tabularnewline
0.84 & 68.1607799069144 & 0.0499250881867496 \tabularnewline
0.85 & 68.1719646663383 & 0.0469023650756383 \tabularnewline
0.86 & 68.1828616955845 & 0.043956751042835 \tabularnewline
0.87 & 68.1935769057446 & 0.041333927711372 \tabularnewline
0.88 & 68.2042999842461 & 0.0393630002916733 \tabularnewline
0.89 & 68.2153068292999 & 0.0384326193059684 \tabularnewline
0.9 & 68.2269418336778 & 0.0387479470023566 \tabularnewline
0.91 & 68.2395658838267 & 0.0404615170923442 \tabularnewline
0.92 & 68.2534593962535 & 0.0432350024853381 \tabularnewline
0.93 & 68.2686884927492 & 0.0461572088158559 \tabularnewline
0.94 & 68.2849785108588 & 0.0477180802895808 \tabularnewline
0.95 & 68.301674967684 & 0.0462158732231809 \tabularnewline
0.96 & 68.3178621544902 & 0.040679431286638 \tabularnewline
0.97 & 68.3326037742879 & 0.0319834012022362 \tabularnewline
0.98 & 68.3451013008404 & 0.0234168002739458 \tabularnewline
0.99 & 68.3545581180755 & 0.0193426043042311 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163100&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]67.1473477119856[/C][C]0.0270651518293329[/C][/ROW]
[ROW][C]0.02[/C][C]67.1582880666894[/C][C]0.0238843862761535[/C][/ROW]
[ROW][C]0.03[/C][C]67.1697834359124[/C][C]0.0209635166956376[/C][/ROW]
[ROW][C]0.04[/C][C]67.1800847516264[/C][C]0.0186652917422405[/C][/ROW]
[ROW][C]0.05[/C][C]67.1887814586506[/C][C]0.0172047102923209[/C][/ROW]
[ROW][C]0.06[/C][C]67.1961721336464[/C][C]0.0167930452556833[/C][/ROW]
[ROW][C]0.07[/C][C]67.2027557802015[/C][C]0.0175425898542393[/C][/ROW]
[ROW][C]0.08[/C][C]67.2089876320875[/C][C]0.0192036075214885[/C][/ROW]
[ROW][C]0.09[/C][C]67.2152027123555[/C][C]0.0213893345535182[/C][/ROW]
[ROW][C]0.1[/C][C]67.2216118196721[/C][C]0.0238937530676824[/C][/ROW]
[ROW][C]0.11[/C][C]67.2283229573299[/C][C]0.0263536867339942[/C][/ROW]
[ROW][C]0.12[/C][C]67.2353712629839[/C][C]0.0287269876737896[/C][/ROW]
[ROW][C]0.13[/C][C]67.2427517492453[/C][C]0.0308046147824495[/C][/ROW]
[ROW][C]0.14[/C][C]67.250451648423[/C][C]0.0327790829897726[/C][/ROW]
[ROW][C]0.15[/C][C]67.2584788582868[/C][C]0.0349448601734631[/C][/ROW]
[ROW][C]0.16[/C][C]67.2668826032049[/C][C]0.0375660700200146[/C][/ROW]
[ROW][C]0.17[/C][C]67.2757631001304[/C][C]0.0410573636875077[/C][/ROW]
[ROW][C]0.18[/C][C]67.2852688693311[/C][C]0.0456221591728432[/C][/ROW]
[ROW][C]0.19[/C][C]67.2955827400082[/C][C]0.0514062874329513[/C][/ROW]
[ROW][C]0.2[/C][C]67.3068997178408[/C][C]0.058428267760448[/C][/ROW]
[ROW][C]0.21[/C][C]67.3194010913305[/C][C]0.0663346800249232[/C][/ROW]
[ROW][C]0.22[/C][C]67.3332292925354[/C][C]0.0749125666944866[/C][/ROW]
[ROW][C]0.23[/C][C]67.3484673079107[/C][C]0.083773334920792[/C][/ROW]
[ROW][C]0.24[/C][C]67.365125235996[/C][C]0.0922871671773751[/C][/ROW]
[ROW][C]0.25[/C][C]67.3831352654292[/C][C]0.100252330096497[/C][/ROW]
[ROW][C]0.26[/C][C]67.4023551337838[/C][C]0.107188310841737[/C][/ROW]
[ROW][C]0.27[/C][C]67.4225791357411[/C][C]0.112772486803288[/C][/ROW]
[ROW][C]0.28[/C][C]67.443555009595[/C][C]0.116785075931002[/C][/ROW]
[ROW][C]0.29[/C][C]67.4650045446814[/C][C]0.11909345565391[/C][/ROW]
[ROW][C]0.3[/C][C]67.4866455169644[/C][C]0.119873525514584[/C][/ROW]
[ROW][C]0.31[/C][C]67.5082125756902[/C][C]0.119191652414427[/C][/ROW]
[ROW][C]0.32[/C][C]67.5294749630092[/C][C]0.117283988491095[/C][/ROW]
[ROW][C]0.33[/C][C]67.5502494228228[/C][C]0.11434444625621[/C][/ROW]
[ROW][C]0.34[/C][C]67.570407289926[/C][C]0.11087548078053[/C][/ROW]
[ROW][C]0.35[/C][C]67.5898754669115[/C][C]0.107190109342049[/C][/ROW]
[ROW][C]0.36[/C][C]67.6086317029138[/C][C]0.10352446610375[/C][/ROW]
[ROW][C]0.37[/C][C]67.6266951975258[/C][C]0.100196483980117[/C][/ROW]
[ROW][C]0.38[/C][C]67.6441139967521[/C][C]0.0971885959032083[/C][/ROW]
[ROW][C]0.39[/C][C]67.6609508866786[/C][C]0.094712154302391[/C][/ROW]
[ROW][C]0.4[/C][C]67.6772695174293[/C][C]0.0926072653019504[/C][/ROW]
[ROW][C]0.41[/C][C]67.6931223247734[/C][C]0.09083040378906[/C][/ROW]
[ROW][C]0.42[/C][C]67.7085414973709[/C][C]0.0890983087727673[/C][/ROW]
[ROW][C]0.43[/C][C]67.7235338109729[/C][C]0.0872796778381621[/C][/ROW]
[ROW][C]0.44[/C][C]67.7380796662174[/C][C]0.0850920092089214[/C][/ROW]
[ROW][C]0.45[/C][C]67.7521361729977[/C][C]0.0825722411273031[/C][/ROW]
[ROW][C]0.46[/C][C]67.7656436699583[/C][C]0.0794768538344665[/C][/ROW]
[ROW][C]0.47[/C][C]67.7785346992226[/C][C]0.0758420430640258[/C][/ROW]
[ROW][C]0.48[/C][C]67.7907442159357[/C][C]0.0716673164579315[/C][/ROW]
[ROW][C]0.49[/C][C]67.8022197302658[/C][C]0.0670737069664887[/C][/ROW]
[ROW][C]0.5[/C][C]67.812930167507[/C][C]0.0622763196043364[/C][/ROW]
[ROW][C]0.51[/C][C]67.8228724754875[/C][C]0.0573673056684509[/C][/ROW]
[ROW][C]0.52[/C][C]67.8320753661458[/C][C]0.0527350958917886[/C][/ROW]
[ROW][C]0.53[/C][C]67.840599987049[/C][C]0.0484747598265509[/C][/ROW]
[ROW][C]0.54[/C][C]67.8485377069486[/C][C]0.044833875752901[/C][/ROW]
[ROW][C]0.55[/C][C]67.8560055024488[/C][C]0.041964871063084[/C][/ROW]
[ROW][C]0.56[/C][C]67.8631396081925[/C][C]0.0400711213377397[/C][/ROW]
[ROW][C]0.57[/C][C]67.8700881306382[/C][C]0.039203420882584[/C][/ROW]
[ROW][C]0.58[/C][C]67.8770032491402[/C][C]0.0392851463513934[/C][/ROW]
[ROW][C]0.59[/C][C]67.8840334870196[/C][C]0.0403478079145389[/C][/ROW]
[ROW][C]0.6[/C][C]67.8913163896977[/C][C]0.0421426854548446[/C][/ROW]
[ROW][C]0.61[/C][C]67.8989718495763[/C][C]0.0446257533927549[/C][/ROW]
[ROW][C]0.62[/C][C]67.9070962977844[/C][C]0.0475134523693897[/C][/ROW]
[ROW][C]0.63[/C][C]67.9157580381268[/C][C]0.0507428800489437[/C][/ROW]
[ROW][C]0.64[/C][C]67.9249940926798[/C][C]0.0540787691872876[/C][/ROW]
[ROW][C]0.65[/C][C]67.9348090022153[/C][C]0.0572623281119745[/C][/ROW]
[ROW][C]0.66[/C][C]67.9451760124624[/C][C]0.0601010763202997[/C][/ROW]
[ROW][C]0.67[/C][C]67.9560409280635[/C][C]0.0624243857092555[/C][/ROW]
[ROW][C]0.68[/C][C]67.9673286126933[/C][C]0.0641349815991847[/C][/ROW]
[ROW][C]0.69[/C][C]67.9789516852518[/C][C]0.0651957909109519[/C][/ROW]
[ROW][C]0.7[/C][C]67.9908204852651[/C][C]0.0656317371407906[/C][/ROW]
[ROW][C]0.71[/C][C]68.0028529686208[/C][C]0.0654947275783111[/C][/ROW]
[ROW][C]0.72[/C][C]68.0149829722223[/C][C]0.0649329183087196[/C][/ROW]
[ROW][C]0.73[/C][C]68.027165356703[/C][C]0.0641226829589874[/C][/ROW]
[ROW][C]0.74[/C][C]68.0393769490239[/C][C]0.0632637683147351[/C][/ROW]
[ROW][C]0.75[/C][C]68.051612930822[/C][C]0.0623987763603072[/C][/ROW]
[ROW][C]0.76[/C][C]68.0638792356188[/C][C]0.0616615802977149[/C][/ROW]
[ROW][C]0.77[/C][C]68.0761824383301[/C][C]0.0610293963322515[/C][/ROW]
[ROW][C]0.78[/C][C]68.0885193209575[/C][C]0.0604397803163004[/C][/ROW]
[ROW][C]0.79[/C][C]68.1008685790236[/C][C]0.0596600177768291[/C][/ROW]
[ROW][C]0.8[/C][C]68.11318687863[/C][C]0.0586198749957687[/C][/ROW]
[ROW][C]0.81[/C][C]68.1254107026458[/C][C]0.0571593856925959[/C][/ROW]
[ROW][C]0.82[/C][C]68.1374643107779[/C][C]0.0551920961744117[/C][/ROW]
[ROW][C]0.83[/C][C]68.149272986966[/C][C]0.0527572584601972[/C][/ROW]
[ROW][C]0.84[/C][C]68.1607799069144[/C][C]0.0499250881867496[/C][/ROW]
[ROW][C]0.85[/C][C]68.1719646663383[/C][C]0.0469023650756383[/C][/ROW]
[ROW][C]0.86[/C][C]68.1828616955845[/C][C]0.043956751042835[/C][/ROW]
[ROW][C]0.87[/C][C]68.1935769057446[/C][C]0.041333927711372[/C][/ROW]
[ROW][C]0.88[/C][C]68.2042999842461[/C][C]0.0393630002916733[/C][/ROW]
[ROW][C]0.89[/C][C]68.2153068292999[/C][C]0.0384326193059684[/C][/ROW]
[ROW][C]0.9[/C][C]68.2269418336778[/C][C]0.0387479470023566[/C][/ROW]
[ROW][C]0.91[/C][C]68.2395658838267[/C][C]0.0404615170923442[/C][/ROW]
[ROW][C]0.92[/C][C]68.2534593962535[/C][C]0.0432350024853381[/C][/ROW]
[ROW][C]0.93[/C][C]68.2686884927492[/C][C]0.0461572088158559[/C][/ROW]
[ROW][C]0.94[/C][C]68.2849785108588[/C][C]0.0477180802895808[/C][/ROW]
[ROW][C]0.95[/C][C]68.301674967684[/C][C]0.0462158732231809[/C][/ROW]
[ROW][C]0.96[/C][C]68.3178621544902[/C][C]0.040679431286638[/C][/ROW]
[ROW][C]0.97[/C][C]68.3326037742879[/C][C]0.0319834012022362[/C][/ROW]
[ROW][C]0.98[/C][C]68.3451013008404[/C][C]0.0234168002739458[/C][/ROW]
[ROW][C]0.99[/C][C]68.3545581180755[/C][C]0.0193426043042311[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163100&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163100&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
0.0167.14734771198560.0270651518293329
0.0267.15828806668940.0238843862761535
0.0367.16978343591240.0209635166956376
0.0467.18008475162640.0186652917422405
0.0567.18878145865060.0172047102923209
0.0667.19617213364640.0167930452556833
0.0767.20275578020150.0175425898542393
0.0867.20898763208750.0192036075214885
0.0967.21520271235550.0213893345535182
0.167.22161181967210.0238937530676824
0.1167.22832295732990.0263536867339942
0.1267.23537126298390.0287269876737896
0.1367.24275174924530.0308046147824495
0.1467.2504516484230.0327790829897726
0.1567.25847885828680.0349448601734631
0.1667.26688260320490.0375660700200146
0.1767.27576310013040.0410573636875077
0.1867.28526886933110.0456221591728432
0.1967.29558274000820.0514062874329513
0.267.30689971784080.058428267760448
0.2167.31940109133050.0663346800249232
0.2267.33322929253540.0749125666944866
0.2367.34846730791070.083773334920792
0.2467.3651252359960.0922871671773751
0.2567.38313526542920.100252330096497
0.2667.40235513378380.107188310841737
0.2767.42257913574110.112772486803288
0.2867.4435550095950.116785075931002
0.2967.46500454468140.11909345565391
0.367.48664551696440.119873525514584
0.3167.50821257569020.119191652414427
0.3267.52947496300920.117283988491095
0.3367.55024942282280.11434444625621
0.3467.5704072899260.11087548078053
0.3567.58987546691150.107190109342049
0.3667.60863170291380.10352446610375
0.3767.62669519752580.100196483980117
0.3867.64411399675210.0971885959032083
0.3967.66095088667860.094712154302391
0.467.67726951742930.0926072653019504
0.4167.69312232477340.09083040378906
0.4267.70854149737090.0890983087727673
0.4367.72353381097290.0872796778381621
0.4467.73807966621740.0850920092089214
0.4567.75213617299770.0825722411273031
0.4667.76564366995830.0794768538344665
0.4767.77853469922260.0758420430640258
0.4867.79074421593570.0716673164579315
0.4967.80221973026580.0670737069664887
0.567.8129301675070.0622763196043364
0.5167.82287247548750.0573673056684509
0.5267.83207536614580.0527350958917886
0.5367.8405999870490.0484747598265509
0.5467.84853770694860.044833875752901
0.5567.85600550244880.041964871063084
0.5667.86313960819250.0400711213377397
0.5767.87008813063820.039203420882584
0.5867.87700324914020.0392851463513934
0.5967.88403348701960.0403478079145389
0.667.89131638969770.0421426854548446
0.6167.89897184957630.0446257533927549
0.6267.90709629778440.0475134523693897
0.6367.91575803812680.0507428800489437
0.6467.92499409267980.0540787691872876
0.6567.93480900221530.0572623281119745
0.6667.94517601246240.0601010763202997
0.6767.95604092806350.0624243857092555
0.6867.96732861269330.0641349815991847
0.6967.97895168525180.0651957909109519
0.767.99082048526510.0656317371407906
0.7168.00285296862080.0654947275783111
0.7268.01498297222230.0649329183087196
0.7368.0271653567030.0641226829589874
0.7468.03937694902390.0632637683147351
0.7568.0516129308220.0623987763603072
0.7668.06387923561880.0616615802977149
0.7768.07618243833010.0610293963322515
0.7868.08851932095750.0604397803163004
0.7968.10086857902360.0596600177768291
0.868.113186878630.0586198749957687
0.8168.12541070264580.0571593856925959
0.8268.13746431077790.0551920961744117
0.8368.1492729869660.0527572584601972
0.8468.16077990691440.0499250881867496
0.8568.17196466633830.0469023650756383
0.8668.18286169558450.043956751042835
0.8768.19357690574460.041333927711372
0.8868.20429998424610.0393630002916733
0.8968.21530682929990.0384326193059684
0.968.22694183367780.0387479470023566
0.9168.23956588382670.0404615170923442
0.9268.25345939625350.0432350024853381
0.9368.26868849274920.0461572088158559
0.9468.28497851085880.0477180802895808
0.9568.3016749676840.0462158732231809
0.9668.31786215449020.040679431286638
0.9768.33260377428790.0319834012022362
0.9868.34510130084040.0234168002739458
0.9968.35455811807550.0193426043042311


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')