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, 11 Oct 2014 14:03:33 +0100
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/Oct/11/t1413032728f5qket0cophesjn.htm/, Retrieved Tue, 14 May 2024 13:43:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=240441, Retrieved Tue, 14 May 2024 13:43:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact85

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] [] [2014-10-11 13:03:33] [9458cab04bab2efa06ad058ca673aa95] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18.3
18.6
18.7
20.1
18.9
20.1
19.8
15.9
19.9
19.6
15.6
14.2
13.6
13.9
15
14.1
13.5
15.3
14.7
12.5
16.1
15.9
15.9
15.7
14.7
15.3
18.4
16.8
16.5
19.3
17.1
15.7
19.1
18.6
18.4
17.1
18.3
19.4
22.3
19.4
21.3
20.3
19.3
17.5
19.9
19.6
19.7
18.1
19.1
20.7
22.5
20
20.2
20.4
19.6
18.1
19.3
21
19.9
17.7
19.4
19.3
21.5
20.9
20.8
20.3
21.4
17.4
21.1
22
20.4
19

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'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=240441&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=240441&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240441&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112.76686708058090.781584654228144
0.0213.12286998146370.544512009259646
0.0313.43726967239590.401432931708599
0.0413.68043078039420.364792981617959
0.0513.87501008871620.380418982534202
0.0614.04694658046050.409771050567905
0.0714.210572730060.43876465588866
0.0814.37096013179920.461998531823088
0.0914.52864412246790.476878215137696
0.114.68246843070830.482669180766006
0.1114.83087029082530.480022167387941
0.1214.97244808156370.470511873676451
0.1315.10623934823270.456148661469389
0.1415.23186159794930.439311686044909
0.1515.34957292521470.422812116204685
0.1615.46027551613070.409742672703633
0.1715.56546394800030.403229795590109
0.1815.66711061696110.405915592373542
0.1915.76748585362580.419388580876441
0.215.86892564373170.443649866066917
0.2115.97357653439980.47703356820721
0.2216.08315764653610.516571572051574
0.2316.19877969047580.558597693018103
0.2416.32085033013910.599388312660579
0.2516.44907726607310.635609232497963
0.2616.58256022894970.66478882916805
0.2716.71994636314890.685410245563756
0.2816.85961454376120.696922036168671
0.2916.99985462596590.699577433602927
0.317.13901607315070.694178240457703
0.3117.27561320456830.681766279124681
0.3217.40838703916310.663525457448165
0.3317.53633278052240.640569641992915
0.3417.65870562244880.614074266006389
0.3517.7750160690320.585074432937326
0.3617.88502123762060.554753731422771
0.3717.98871315528030.524374218941443
0.3818.08630104984860.49508403906227
0.3918.17818328845910.4680558144446
0.418.26490599105210.444094897677071
0.4118.34710858178850.423808393213724
0.4218.42546031783520.407236087652003
0.4318.50059487374270.394029943084293
0.4418.57305149042210.383432206137979
0.4518.64323072030130.374439349692913
0.4618.71137064717280.36597067256067
0.4718.77754622619560.357056600585106
0.4818.84169081751260.346917759463021
0.4918.90363576823710.335053115752308
0.518.96316154650520.321390802415406
0.5119.02005272967090.30613635465501
0.5219.07414915161820.289769709363059
0.5319.12538659217820.273022070255939
0.5419.17382228653830.256710762713435
0.5519.21964291132830.241696522708963
0.5619.26315520639160.22868712363927
0.5719.30476167133150.218285248427573
0.5819.34492554211410.210765109629281
0.5919.38413030426110.206129964701751
0.619.42283925264050.204063394973037
0.6119.46146010814270.204112470235231
0.6219.5003186042290.205660424194398
0.6319.53964348649160.208037742534929
0.6419.57956376537930.210611199972361
0.6519.62011753106960.212903518135757
0.6619.66127032717920.214564768401385
0.6719.70294008532620.215393801099722
0.6819.74502502747390.215353615278222
0.6919.78743083927790.214578200206611
0.719.8300938982690.213319897203339
0.7119.87299844112810.211878566565448
0.7219.9161871596210.210574763922018
0.7319.95976648006840.209741258735462
0.7420.00390913063620.20963720860401
0.7520.04885685768110.210466650508841
0.7620.09492480957170.212497259619965
0.7720.14250617219090.21600754458895
0.7820.19207192179480.221315773724067
0.7920.24415769211470.228673018842498
0.820.29932979387450.238243148192065
0.8120.3581269889310.249752412913442
0.8220.42098373867790.262475723416336
0.8320.48815190731720.275219651451
0.8420.55964662530420.286526833874556
0.8520.63524305590360.295048142792861
0.8620.71454179951370.299892821139802
0.8720.7971052390930.300956844836825
0.8820.88265498355640.299004717257292
0.8920.97132117541440.295548197526385
0.921.06394376574940.292619459052891
0.9121.16241347609660.292929462326119
0.9221.26995532000990.300014423617695
0.9321.39107790391380.317726730928005
0.9421.53073280752020.346917010534342
0.9521.69231045051190.380134087630058
0.9621.87467903464880.399275758117324
0.9722.06924217540230.382153746548551
0.9822.25792772566270.31989175145397
0.9922.41250942422340.240008236207667

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12.7668670805809 & 0.781584654228144 \tabularnewline
0.02 & 13.1228699814637 & 0.544512009259646 \tabularnewline
0.03 & 13.4372696723959 & 0.401432931708599 \tabularnewline
0.04 & 13.6804307803942 & 0.364792981617959 \tabularnewline
0.05 & 13.8750100887162 & 0.380418982534202 \tabularnewline
0.06 & 14.0469465804605 & 0.409771050567905 \tabularnewline
0.07 & 14.21057273006 & 0.43876465588866 \tabularnewline
0.08 & 14.3709601317992 & 0.461998531823088 \tabularnewline
0.09 & 14.5286441224679 & 0.476878215137696 \tabularnewline
0.1 & 14.6824684307083 & 0.482669180766006 \tabularnewline
0.11 & 14.8308702908253 & 0.480022167387941 \tabularnewline
0.12 & 14.9724480815637 & 0.470511873676451 \tabularnewline
0.13 & 15.1062393482327 & 0.456148661469389 \tabularnewline
0.14 & 15.2318615979493 & 0.439311686044909 \tabularnewline
0.15 & 15.3495729252147 & 0.422812116204685 \tabularnewline
0.16 & 15.4602755161307 & 0.409742672703633 \tabularnewline
0.17 & 15.5654639480003 & 0.403229795590109 \tabularnewline
0.18 & 15.6671106169611 & 0.405915592373542 \tabularnewline
0.19 & 15.7674858536258 & 0.419388580876441 \tabularnewline
0.2 & 15.8689256437317 & 0.443649866066917 \tabularnewline
0.21 & 15.9735765343998 & 0.47703356820721 \tabularnewline
0.22 & 16.0831576465361 & 0.516571572051574 \tabularnewline
0.23 & 16.1987796904758 & 0.558597693018103 \tabularnewline
0.24 & 16.3208503301391 & 0.599388312660579 \tabularnewline
0.25 & 16.4490772660731 & 0.635609232497963 \tabularnewline
0.26 & 16.5825602289497 & 0.66478882916805 \tabularnewline
0.27 & 16.7199463631489 & 0.685410245563756 \tabularnewline
0.28 & 16.8596145437612 & 0.696922036168671 \tabularnewline
0.29 & 16.9998546259659 & 0.699577433602927 \tabularnewline
0.3 & 17.1390160731507 & 0.694178240457703 \tabularnewline
0.31 & 17.2756132045683 & 0.681766279124681 \tabularnewline
0.32 & 17.4083870391631 & 0.663525457448165 \tabularnewline
0.33 & 17.5363327805224 & 0.640569641992915 \tabularnewline
0.34 & 17.6587056224488 & 0.614074266006389 \tabularnewline
0.35 & 17.775016069032 & 0.585074432937326 \tabularnewline
0.36 & 17.8850212376206 & 0.554753731422771 \tabularnewline
0.37 & 17.9887131552803 & 0.524374218941443 \tabularnewline
0.38 & 18.0863010498486 & 0.49508403906227 \tabularnewline
0.39 & 18.1781832884591 & 0.4680558144446 \tabularnewline
0.4 & 18.2649059910521 & 0.444094897677071 \tabularnewline
0.41 & 18.3471085817885 & 0.423808393213724 \tabularnewline
0.42 & 18.4254603178352 & 0.407236087652003 \tabularnewline
0.43 & 18.5005948737427 & 0.394029943084293 \tabularnewline
0.44 & 18.5730514904221 & 0.383432206137979 \tabularnewline
0.45 & 18.6432307203013 & 0.374439349692913 \tabularnewline
0.46 & 18.7113706471728 & 0.36597067256067 \tabularnewline
0.47 & 18.7775462261956 & 0.357056600585106 \tabularnewline
0.48 & 18.8416908175126 & 0.346917759463021 \tabularnewline
0.49 & 18.9036357682371 & 0.335053115752308 \tabularnewline
0.5 & 18.9631615465052 & 0.321390802415406 \tabularnewline
0.51 & 19.0200527296709 & 0.30613635465501 \tabularnewline
0.52 & 19.0741491516182 & 0.289769709363059 \tabularnewline
0.53 & 19.1253865921782 & 0.273022070255939 \tabularnewline
0.54 & 19.1738222865383 & 0.256710762713435 \tabularnewline
0.55 & 19.2196429113283 & 0.241696522708963 \tabularnewline
0.56 & 19.2631552063916 & 0.22868712363927 \tabularnewline
0.57 & 19.3047616713315 & 0.218285248427573 \tabularnewline
0.58 & 19.3449255421141 & 0.210765109629281 \tabularnewline
0.59 & 19.3841303042611 & 0.206129964701751 \tabularnewline
0.6 & 19.4228392526405 & 0.204063394973037 \tabularnewline
0.61 & 19.4614601081427 & 0.204112470235231 \tabularnewline
0.62 & 19.500318604229 & 0.205660424194398 \tabularnewline
0.63 & 19.5396434864916 & 0.208037742534929 \tabularnewline
0.64 & 19.5795637653793 & 0.210611199972361 \tabularnewline
0.65 & 19.6201175310696 & 0.212903518135757 \tabularnewline
0.66 & 19.6612703271792 & 0.214564768401385 \tabularnewline
0.67 & 19.7029400853262 & 0.215393801099722 \tabularnewline
0.68 & 19.7450250274739 & 0.215353615278222 \tabularnewline
0.69 & 19.7874308392779 & 0.214578200206611 \tabularnewline
0.7 & 19.830093898269 & 0.213319897203339 \tabularnewline
0.71 & 19.8729984411281 & 0.211878566565448 \tabularnewline
0.72 & 19.916187159621 & 0.210574763922018 \tabularnewline
0.73 & 19.9597664800684 & 0.209741258735462 \tabularnewline
0.74 & 20.0039091306362 & 0.20963720860401 \tabularnewline
0.75 & 20.0488568576811 & 0.210466650508841 \tabularnewline
0.76 & 20.0949248095717 & 0.212497259619965 \tabularnewline
0.77 & 20.1425061721909 & 0.21600754458895 \tabularnewline
0.78 & 20.1920719217948 & 0.221315773724067 \tabularnewline
0.79 & 20.2441576921147 & 0.228673018842498 \tabularnewline
0.8 & 20.2993297938745 & 0.238243148192065 \tabularnewline
0.81 & 20.358126988931 & 0.249752412913442 \tabularnewline
0.82 & 20.4209837386779 & 0.262475723416336 \tabularnewline
0.83 & 20.4881519073172 & 0.275219651451 \tabularnewline
0.84 & 20.5596466253042 & 0.286526833874556 \tabularnewline
0.85 & 20.6352430559036 & 0.295048142792861 \tabularnewline
0.86 & 20.7145417995137 & 0.299892821139802 \tabularnewline
0.87 & 20.797105239093 & 0.300956844836825 \tabularnewline
0.88 & 20.8826549835564 & 0.299004717257292 \tabularnewline
0.89 & 20.9713211754144 & 0.295548197526385 \tabularnewline
0.9 & 21.0639437657494 & 0.292619459052891 \tabularnewline
0.91 & 21.1624134760966 & 0.292929462326119 \tabularnewline
0.92 & 21.2699553200099 & 0.300014423617695 \tabularnewline
0.93 & 21.3910779039138 & 0.317726730928005 \tabularnewline
0.94 & 21.5307328075202 & 0.346917010534342 \tabularnewline
0.95 & 21.6923104505119 & 0.380134087630058 \tabularnewline
0.96 & 21.8746790346488 & 0.399275758117324 \tabularnewline
0.97 & 22.0692421754023 & 0.382153746548551 \tabularnewline
0.98 & 22.2579277256627 & 0.31989175145397 \tabularnewline
0.99 & 22.4125094242234 & 0.240008236207667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=240441&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]12.7668670805809[/C][C]0.781584654228144[/C][/ROW]
[ROW][C]0.02[/C][C]13.1228699814637[/C][C]0.544512009259646[/C][/ROW]
[ROW][C]0.03[/C][C]13.4372696723959[/C][C]0.401432931708599[/C][/ROW]
[ROW][C]0.04[/C][C]13.6804307803942[/C][C]0.364792981617959[/C][/ROW]
[ROW][C]0.05[/C][C]13.8750100887162[/C][C]0.380418982534202[/C][/ROW]
[ROW][C]0.06[/C][C]14.0469465804605[/C][C]0.409771050567905[/C][/ROW]
[ROW][C]0.07[/C][C]14.21057273006[/C][C]0.43876465588866[/C][/ROW]
[ROW][C]0.08[/C][C]14.3709601317992[/C][C]0.461998531823088[/C][/ROW]
[ROW][C]0.09[/C][C]14.5286441224679[/C][C]0.476878215137696[/C][/ROW]
[ROW][C]0.1[/C][C]14.6824684307083[/C][C]0.482669180766006[/C][/ROW]
[ROW][C]0.11[/C][C]14.8308702908253[/C][C]0.480022167387941[/C][/ROW]
[ROW][C]0.12[/C][C]14.9724480815637[/C][C]0.470511873676451[/C][/ROW]
[ROW][C]0.13[/C][C]15.1062393482327[/C][C]0.456148661469389[/C][/ROW]
[ROW][C]0.14[/C][C]15.2318615979493[/C][C]0.439311686044909[/C][/ROW]
[ROW][C]0.15[/C][C]15.3495729252147[/C][C]0.422812116204685[/C][/ROW]
[ROW][C]0.16[/C][C]15.4602755161307[/C][C]0.409742672703633[/C][/ROW]
[ROW][C]0.17[/C][C]15.5654639480003[/C][C]0.403229795590109[/C][/ROW]
[ROW][C]0.18[/C][C]15.6671106169611[/C][C]0.405915592373542[/C][/ROW]
[ROW][C]0.19[/C][C]15.7674858536258[/C][C]0.419388580876441[/C][/ROW]
[ROW][C]0.2[/C][C]15.8689256437317[/C][C]0.443649866066917[/C][/ROW]
[ROW][C]0.21[/C][C]15.9735765343998[/C][C]0.47703356820721[/C][/ROW]
[ROW][C]0.22[/C][C]16.0831576465361[/C][C]0.516571572051574[/C][/ROW]
[ROW][C]0.23[/C][C]16.1987796904758[/C][C]0.558597693018103[/C][/ROW]
[ROW][C]0.24[/C][C]16.3208503301391[/C][C]0.599388312660579[/C][/ROW]
[ROW][C]0.25[/C][C]16.4490772660731[/C][C]0.635609232497963[/C][/ROW]
[ROW][C]0.26[/C][C]16.5825602289497[/C][C]0.66478882916805[/C][/ROW]
[ROW][C]0.27[/C][C]16.7199463631489[/C][C]0.685410245563756[/C][/ROW]
[ROW][C]0.28[/C][C]16.8596145437612[/C][C]0.696922036168671[/C][/ROW]
[ROW][C]0.29[/C][C]16.9998546259659[/C][C]0.699577433602927[/C][/ROW]
[ROW][C]0.3[/C][C]17.1390160731507[/C][C]0.694178240457703[/C][/ROW]
[ROW][C]0.31[/C][C]17.2756132045683[/C][C]0.681766279124681[/C][/ROW]
[ROW][C]0.32[/C][C]17.4083870391631[/C][C]0.663525457448165[/C][/ROW]
[ROW][C]0.33[/C][C]17.5363327805224[/C][C]0.640569641992915[/C][/ROW]
[ROW][C]0.34[/C][C]17.6587056224488[/C][C]0.614074266006389[/C][/ROW]
[ROW][C]0.35[/C][C]17.775016069032[/C][C]0.585074432937326[/C][/ROW]
[ROW][C]0.36[/C][C]17.8850212376206[/C][C]0.554753731422771[/C][/ROW]
[ROW][C]0.37[/C][C]17.9887131552803[/C][C]0.524374218941443[/C][/ROW]
[ROW][C]0.38[/C][C]18.0863010498486[/C][C]0.49508403906227[/C][/ROW]
[ROW][C]0.39[/C][C]18.1781832884591[/C][C]0.4680558144446[/C][/ROW]
[ROW][C]0.4[/C][C]18.2649059910521[/C][C]0.444094897677071[/C][/ROW]
[ROW][C]0.41[/C][C]18.3471085817885[/C][C]0.423808393213724[/C][/ROW]
[ROW][C]0.42[/C][C]18.4254603178352[/C][C]0.407236087652003[/C][/ROW]
[ROW][C]0.43[/C][C]18.5005948737427[/C][C]0.394029943084293[/C][/ROW]
[ROW][C]0.44[/C][C]18.5730514904221[/C][C]0.383432206137979[/C][/ROW]
[ROW][C]0.45[/C][C]18.6432307203013[/C][C]0.374439349692913[/C][/ROW]
[ROW][C]0.46[/C][C]18.7113706471728[/C][C]0.36597067256067[/C][/ROW]
[ROW][C]0.47[/C][C]18.7775462261956[/C][C]0.357056600585106[/C][/ROW]
[ROW][C]0.48[/C][C]18.8416908175126[/C][C]0.346917759463021[/C][/ROW]
[ROW][C]0.49[/C][C]18.9036357682371[/C][C]0.335053115752308[/C][/ROW]
[ROW][C]0.5[/C][C]18.9631615465052[/C][C]0.321390802415406[/C][/ROW]
[ROW][C]0.51[/C][C]19.0200527296709[/C][C]0.30613635465501[/C][/ROW]
[ROW][C]0.52[/C][C]19.0741491516182[/C][C]0.289769709363059[/C][/ROW]
[ROW][C]0.53[/C][C]19.1253865921782[/C][C]0.273022070255939[/C][/ROW]
[ROW][C]0.54[/C][C]19.1738222865383[/C][C]0.256710762713435[/C][/ROW]
[ROW][C]0.55[/C][C]19.2196429113283[/C][C]0.241696522708963[/C][/ROW]
[ROW][C]0.56[/C][C]19.2631552063916[/C][C]0.22868712363927[/C][/ROW]
[ROW][C]0.57[/C][C]19.3047616713315[/C][C]0.218285248427573[/C][/ROW]
[ROW][C]0.58[/C][C]19.3449255421141[/C][C]0.210765109629281[/C][/ROW]
[ROW][C]0.59[/C][C]19.3841303042611[/C][C]0.206129964701751[/C][/ROW]
[ROW][C]0.6[/C][C]19.4228392526405[/C][C]0.204063394973037[/C][/ROW]
[ROW][C]0.61[/C][C]19.4614601081427[/C][C]0.204112470235231[/C][/ROW]
[ROW][C]0.62[/C][C]19.500318604229[/C][C]0.205660424194398[/C][/ROW]
[ROW][C]0.63[/C][C]19.5396434864916[/C][C]0.208037742534929[/C][/ROW]
[ROW][C]0.64[/C][C]19.5795637653793[/C][C]0.210611199972361[/C][/ROW]
[ROW][C]0.65[/C][C]19.6201175310696[/C][C]0.212903518135757[/C][/ROW]
[ROW][C]0.66[/C][C]19.6612703271792[/C][C]0.214564768401385[/C][/ROW]
[ROW][C]0.67[/C][C]19.7029400853262[/C][C]0.215393801099722[/C][/ROW]
[ROW][C]0.68[/C][C]19.7450250274739[/C][C]0.215353615278222[/C][/ROW]
[ROW][C]0.69[/C][C]19.7874308392779[/C][C]0.214578200206611[/C][/ROW]
[ROW][C]0.7[/C][C]19.830093898269[/C][C]0.213319897203339[/C][/ROW]
[ROW][C]0.71[/C][C]19.8729984411281[/C][C]0.211878566565448[/C][/ROW]
[ROW][C]0.72[/C][C]19.916187159621[/C][C]0.210574763922018[/C][/ROW]
[ROW][C]0.73[/C][C]19.9597664800684[/C][C]0.209741258735462[/C][/ROW]
[ROW][C]0.74[/C][C]20.0039091306362[/C][C]0.20963720860401[/C][/ROW]
[ROW][C]0.75[/C][C]20.0488568576811[/C][C]0.210466650508841[/C][/ROW]
[ROW][C]0.76[/C][C]20.0949248095717[/C][C]0.212497259619965[/C][/ROW]
[ROW][C]0.77[/C][C]20.1425061721909[/C][C]0.21600754458895[/C][/ROW]
[ROW][C]0.78[/C][C]20.1920719217948[/C][C]0.221315773724067[/C][/ROW]
[ROW][C]0.79[/C][C]20.2441576921147[/C][C]0.228673018842498[/C][/ROW]
[ROW][C]0.8[/C][C]20.2993297938745[/C][C]0.238243148192065[/C][/ROW]
[ROW][C]0.81[/C][C]20.358126988931[/C][C]0.249752412913442[/C][/ROW]
[ROW][C]0.82[/C][C]20.4209837386779[/C][C]0.262475723416336[/C][/ROW]
[ROW][C]0.83[/C][C]20.4881519073172[/C][C]0.275219651451[/C][/ROW]
[ROW][C]0.84[/C][C]20.5596466253042[/C][C]0.286526833874556[/C][/ROW]
[ROW][C]0.85[/C][C]20.6352430559036[/C][C]0.295048142792861[/C][/ROW]
[ROW][C]0.86[/C][C]20.7145417995137[/C][C]0.299892821139802[/C][/ROW]
[ROW][C]0.87[/C][C]20.797105239093[/C][C]0.300956844836825[/C][/ROW]
[ROW][C]0.88[/C][C]20.8826549835564[/C][C]0.299004717257292[/C][/ROW]
[ROW][C]0.89[/C][C]20.9713211754144[/C][C]0.295548197526385[/C][/ROW]
[ROW][C]0.9[/C][C]21.0639437657494[/C][C]0.292619459052891[/C][/ROW]
[ROW][C]0.91[/C][C]21.1624134760966[/C][C]0.292929462326119[/C][/ROW]
[ROW][C]0.92[/C][C]21.2699553200099[/C][C]0.300014423617695[/C][/ROW]
[ROW][C]0.93[/C][C]21.3910779039138[/C][C]0.317726730928005[/C][/ROW]
[ROW][C]0.94[/C][C]21.5307328075202[/C][C]0.346917010534342[/C][/ROW]
[ROW][C]0.95[/C][C]21.6923104505119[/C][C]0.380134087630058[/C][/ROW]
[ROW][C]0.96[/C][C]21.8746790346488[/C][C]0.399275758117324[/C][/ROW]
[ROW][C]0.97[/C][C]22.0692421754023[/C][C]0.382153746548551[/C][/ROW]
[ROW][C]0.98[/C][C]22.2579277256627[/C][C]0.31989175145397[/C][/ROW]
[ROW][C]0.99[/C][C]22.4125094242234[/C][C]0.240008236207667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=240441&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=240441&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
0.0112.76686708058090.781584654228144
0.0213.12286998146370.544512009259646
0.0313.43726967239590.401432931708599
0.0413.68043078039420.364792981617959
0.0513.87501008871620.380418982534202
0.0614.04694658046050.409771050567905
0.0714.210572730060.43876465588866
0.0814.37096013179920.461998531823088
0.0914.52864412246790.476878215137696
0.114.68246843070830.482669180766006
0.1114.83087029082530.480022167387941
0.1214.97244808156370.470511873676451
0.1315.10623934823270.456148661469389
0.1415.23186159794930.439311686044909
0.1515.34957292521470.422812116204685
0.1615.46027551613070.409742672703633
0.1715.56546394800030.403229795590109
0.1815.66711061696110.405915592373542
0.1915.76748585362580.419388580876441
0.215.86892564373170.443649866066917
0.2115.97357653439980.47703356820721
0.2216.08315764653610.516571572051574
0.2316.19877969047580.558597693018103
0.2416.32085033013910.599388312660579
0.2516.44907726607310.635609232497963
0.2616.58256022894970.66478882916805
0.2716.71994636314890.685410245563756
0.2816.85961454376120.696922036168671
0.2916.99985462596590.699577433602927
0.317.13901607315070.694178240457703
0.3117.27561320456830.681766279124681
0.3217.40838703916310.663525457448165
0.3317.53633278052240.640569641992915
0.3417.65870562244880.614074266006389
0.3517.7750160690320.585074432937326
0.3617.88502123762060.554753731422771
0.3717.98871315528030.524374218941443
0.3818.08630104984860.49508403906227
0.3918.17818328845910.4680558144446
0.418.26490599105210.444094897677071
0.4118.34710858178850.423808393213724
0.4218.42546031783520.407236087652003
0.4318.50059487374270.394029943084293
0.4418.57305149042210.383432206137979
0.4518.64323072030130.374439349692913
0.4618.71137064717280.36597067256067
0.4718.77754622619560.357056600585106
0.4818.84169081751260.346917759463021
0.4918.90363576823710.335053115752308
0.518.96316154650520.321390802415406
0.5119.02005272967090.30613635465501
0.5219.07414915161820.289769709363059
0.5319.12538659217820.273022070255939
0.5419.17382228653830.256710762713435
0.5519.21964291132830.241696522708963
0.5619.26315520639160.22868712363927
0.5719.30476167133150.218285248427573
0.5819.34492554211410.210765109629281
0.5919.38413030426110.206129964701751
0.619.42283925264050.204063394973037
0.6119.46146010814270.204112470235231
0.6219.5003186042290.205660424194398
0.6319.53964348649160.208037742534929
0.6419.57956376537930.210611199972361
0.6519.62011753106960.212903518135757
0.6619.66127032717920.214564768401385
0.6719.70294008532620.215393801099722
0.6819.74502502747390.215353615278222
0.6919.78743083927790.214578200206611
0.719.8300938982690.213319897203339
0.7119.87299844112810.211878566565448
0.7219.9161871596210.210574763922018
0.7319.95976648006840.209741258735462
0.7420.00390913063620.20963720860401
0.7520.04885685768110.210466650508841
0.7620.09492480957170.212497259619965
0.7720.14250617219090.21600754458895
0.7820.19207192179480.221315773724067
0.7920.24415769211470.228673018842498
0.820.29932979387450.238243148192065
0.8120.3581269889310.249752412913442
0.8220.42098373867790.262475723416336
0.8320.48815190731720.275219651451
0.8420.55964662530420.286526833874556
0.8520.63524305590360.295048142792861
0.8620.71454179951370.299892821139802
0.8720.7971052390930.300956844836825
0.8820.88265498355640.299004717257292
0.8920.97132117541440.295548197526385
0.921.06394376574940.292619459052891
0.9121.16241347609660.292929462326119
0.9221.26995532000990.300014423617695
0.9321.39107790391380.317726730928005
0.9421.53073280752020.346917010534342
0.9521.69231045051190.380134087630058
0.9621.87467903464880.399275758117324
0.9722.06924217540230.382153746548551
0.9822.25792772566270.31989175145397
0.9922.41250942422340.240008236207667


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')