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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 computationSun, 12 Aug 2012 09:52:33 -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/2012/Aug/12/t13447795932a8cp3rdfunh07p.htm/, Retrieved Sun, 28 Apr 2024 09:52:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=169244, Retrieved Sun, 28 Apr 2024 09:52:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan der Smissen Britt
Estimated Impact140

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] [Tijdreeks B-Stap 7] [2012-08-12 13:52:33] [b3616d670e39c9c081ac68ec1f5d1a32] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
840
880
930
920
940
880
980
860
900
930
870
1000
870
860
930
980
1010
860
1140
880
800
900
900
1000
890
890
870
1000
1050
790
1160
830
730
950
980
910
840
860
880
1030
1060
770
1140
890
740
860
1050
840
810
830
920
1070
1040
740
1250
850
790
810
1080
760
840
820
900
1010
1080
780
1150
820
790
820
1130
800
890
810
950
1090
1090
850
1200
790
800
850
1230
800
930
700
1030
1040
1000
830
1190
720
810
870
1190
800
970
690
1010
1030
950
830
1150
750
840
880
1210
830

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'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 & 1 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169244&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169244&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169244&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01697.92300272204113.8027931801827
0.02710.68725779337216.6851190920362
0.03723.22440379133716.1362127977868
0.04733.90946320835715.5135723561417
0.05743.1738050930916.2827042015081
0.06751.78349131058317.6189768622904
0.07760.06934545790318.3033527243212
0.08767.9033665237317.7524964448049
0.09774.97643183021816.0976353566238
0.1781.0551871025213.8800259530669
0.11786.09384639234211.6916613519565
0.12790.2160376978679.94168927504925
0.13793.6364006660178.7825468649426
0.14796.5837757874638.17665149293984
0.15799.254784072188.00958193353603
0.16801.7977047494548.15910374230907
0.17804.3138807968028.5157847921909
0.18806.864858883268.9780644104971
0.19809.4796324142969.45685639009388
0.2812.161192386519.87658258407219
0.21814.89325637236910.1850292843456
0.22817.6476863354710.3538667300022
0.23820.39226902476610.3838644054929
0.24823.09797427344510.3012819787376
0.25825.74464484504410.1535285319592
0.26828.3242514214089.99890959142532
0.27830.8413061164659.8885604276443
0.28833.3106415186869.86113766488514
0.29835.7533239532139.9320854842153
0.3838.19179250718710.0943359912429
0.31840.6453331115910.3209841665165
0.32843.12676903129410.5771722673542
0.33845.64088549468310.8220767882338
0.34848.18469743148211.0235417538337
0.35850.74927554418711.1601181757266
0.36853.32252691407211.2275979595034
0.37855.89215751453311.2345164784294
0.38858.44808930555911.1994937831495
0.39860.98386591417711.1447062062815
0.4863.49697144481411.0878388307541
0.41865.98835816405911.0406057144223
0.42868.46168940606311.0106820157466
0.43870.92278848807811.0043239909
0.44873.37957934507611.0303226674151
0.45875.84252077933311.1007585484001
0.46878.32529704523911.2358622046608
0.47880.8454114791911.4537175214571
0.48883.42434742428611.7766361954661
0.49886.08707088794412.2203953496741
0.5888.8607990381512.7912474409674
0.51891.77311510009713.4875064383186
0.52894.84966698206114.2919014744708
0.53898.11184182284515.1770269130141
0.54901.5749334546216.1070356779092
0.55905.2473491284217.0430203934948
0.56909.13125759652717.9526516463532
0.57913.2247251983118.8198595458563
0.58917.52487506762819.6483605642638
0.59922.03109831667820.4607305218965
0.6926.74706632423521.288117763034
0.61931.68042681414822.1548803197251
0.62936.8396657210723.0642314784549
0.63942.22854748655423.9804149396646
0.64947.83951439972624.8351419052693
0.65953.64807827136225.5336361452092
0.66959.6102963348625.9795878242134
0.67965.66479159501726.0964196484202
0.68971.73958681259125.8498232801155
0.69977.76259902652725.2642920647582
0.7983.67342428129524.4166352233961
0.71989.43345164828523.4278850335853
0.72995.03165516643122.4368285079926
0.731000.4846283986621.5690778541696
0.741005.8312233355320.909712481522
0.751011.1239193400120.4895914343481
0.761016.4200690759220.2916292781186
0.771021.775958647820.2772636787757
0.781027.2452234870120.4154249938215
0.791032.8812564861420.6957433807145
0.81038.7418475568721.1365468773607
0.811044.8941008431221.7662037212965
0.821051.4183780405122.6144308473538
0.831058.4102158923723.7111015204754
0.841065.9774534732925.0769605612498
0.851074.2267956655926.6960355700525
0.861083.2337842555728.4476027067224
0.871092.9983330981930.0292034789369
0.881103.4056428823430.9881482230469
0.891114.2285386787530.9051251773082
0.91125.2000697654629.6878987033596
0.911136.139047462527.7725381649825
0.921147.0462273231925.9603712849251
0.931158.0726716566824.7863312681557
0.941169.362466159823.8965092810589
0.951180.9507887338522.4497308170734
0.961192.950697950320.4107938144743
0.971205.9734485106419.0726162976949
0.981221.1179444048619.1769894888409
0.991237.9788056111119.3553972566691

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 697.923002722041 & 13.8027931801827 \tabularnewline
0.02 & 710.687257793372 & 16.6851190920362 \tabularnewline
0.03 & 723.224403791337 & 16.1362127977868 \tabularnewline
0.04 & 733.909463208357 & 15.5135723561417 \tabularnewline
0.05 & 743.17380509309 & 16.2827042015081 \tabularnewline
0.06 & 751.783491310583 & 17.6189768622904 \tabularnewline
0.07 & 760.069345457903 & 18.3033527243212 \tabularnewline
0.08 & 767.90336652373 & 17.7524964448049 \tabularnewline
0.09 & 774.976431830218 & 16.0976353566238 \tabularnewline
0.1 & 781.05518710252 & 13.8800259530669 \tabularnewline
0.11 & 786.093846392342 & 11.6916613519565 \tabularnewline
0.12 & 790.216037697867 & 9.94168927504925 \tabularnewline
0.13 & 793.636400666017 & 8.7825468649426 \tabularnewline
0.14 & 796.583775787463 & 8.17665149293984 \tabularnewline
0.15 & 799.25478407218 & 8.00958193353603 \tabularnewline
0.16 & 801.797704749454 & 8.15910374230907 \tabularnewline
0.17 & 804.313880796802 & 8.5157847921909 \tabularnewline
0.18 & 806.86485888326 & 8.9780644104971 \tabularnewline
0.19 & 809.479632414296 & 9.45685639009388 \tabularnewline
0.2 & 812.16119238651 & 9.87658258407219 \tabularnewline
0.21 & 814.893256372369 & 10.1850292843456 \tabularnewline
0.22 & 817.64768633547 & 10.3538667300022 \tabularnewline
0.23 & 820.392269024766 & 10.3838644054929 \tabularnewline
0.24 & 823.097974273445 & 10.3012819787376 \tabularnewline
0.25 & 825.744644845044 & 10.1535285319592 \tabularnewline
0.26 & 828.324251421408 & 9.99890959142532 \tabularnewline
0.27 & 830.841306116465 & 9.8885604276443 \tabularnewline
0.28 & 833.310641518686 & 9.86113766488514 \tabularnewline
0.29 & 835.753323953213 & 9.9320854842153 \tabularnewline
0.3 & 838.191792507187 & 10.0943359912429 \tabularnewline
0.31 & 840.64533311159 & 10.3209841665165 \tabularnewline
0.32 & 843.126769031294 & 10.5771722673542 \tabularnewline
0.33 & 845.640885494683 & 10.8220767882338 \tabularnewline
0.34 & 848.184697431482 & 11.0235417538337 \tabularnewline
0.35 & 850.749275544187 & 11.1601181757266 \tabularnewline
0.36 & 853.322526914072 & 11.2275979595034 \tabularnewline
0.37 & 855.892157514533 & 11.2345164784294 \tabularnewline
0.38 & 858.448089305559 & 11.1994937831495 \tabularnewline
0.39 & 860.983865914177 & 11.1447062062815 \tabularnewline
0.4 & 863.496971444814 & 11.0878388307541 \tabularnewline
0.41 & 865.988358164059 & 11.0406057144223 \tabularnewline
0.42 & 868.461689406063 & 11.0106820157466 \tabularnewline
0.43 & 870.922788488078 & 11.0043239909 \tabularnewline
0.44 & 873.379579345076 & 11.0303226674151 \tabularnewline
0.45 & 875.842520779333 & 11.1007585484001 \tabularnewline
0.46 & 878.325297045239 & 11.2358622046608 \tabularnewline
0.47 & 880.84541147919 & 11.4537175214571 \tabularnewline
0.48 & 883.424347424286 & 11.7766361954661 \tabularnewline
0.49 & 886.087070887944 & 12.2203953496741 \tabularnewline
0.5 & 888.86079903815 & 12.7912474409674 \tabularnewline
0.51 & 891.773115100097 & 13.4875064383186 \tabularnewline
0.52 & 894.849666982061 & 14.2919014744708 \tabularnewline
0.53 & 898.111841822845 & 15.1770269130141 \tabularnewline
0.54 & 901.57493345462 & 16.1070356779092 \tabularnewline
0.55 & 905.24734912842 & 17.0430203934948 \tabularnewline
0.56 & 909.131257596527 & 17.9526516463532 \tabularnewline
0.57 & 913.22472519831 & 18.8198595458563 \tabularnewline
0.58 & 917.524875067628 & 19.6483605642638 \tabularnewline
0.59 & 922.031098316678 & 20.4607305218965 \tabularnewline
0.6 & 926.747066324235 & 21.288117763034 \tabularnewline
0.61 & 931.680426814148 & 22.1548803197251 \tabularnewline
0.62 & 936.83966572107 & 23.0642314784549 \tabularnewline
0.63 & 942.228547486554 & 23.9804149396646 \tabularnewline
0.64 & 947.839514399726 & 24.8351419052693 \tabularnewline
0.65 & 953.648078271362 & 25.5336361452092 \tabularnewline
0.66 & 959.61029633486 & 25.9795878242134 \tabularnewline
0.67 & 965.664791595017 & 26.0964196484202 \tabularnewline
0.68 & 971.739586812591 & 25.8498232801155 \tabularnewline
0.69 & 977.762599026527 & 25.2642920647582 \tabularnewline
0.7 & 983.673424281295 & 24.4166352233961 \tabularnewline
0.71 & 989.433451648285 & 23.4278850335853 \tabularnewline
0.72 & 995.031655166431 & 22.4368285079926 \tabularnewline
0.73 & 1000.48462839866 & 21.5690778541696 \tabularnewline
0.74 & 1005.83122333553 & 20.909712481522 \tabularnewline
0.75 & 1011.12391934001 & 20.4895914343481 \tabularnewline
0.76 & 1016.42006907592 & 20.2916292781186 \tabularnewline
0.77 & 1021.7759586478 & 20.2772636787757 \tabularnewline
0.78 & 1027.24522348701 & 20.4154249938215 \tabularnewline
0.79 & 1032.88125648614 & 20.6957433807145 \tabularnewline
0.8 & 1038.74184755687 & 21.1365468773607 \tabularnewline
0.81 & 1044.89410084312 & 21.7662037212965 \tabularnewline
0.82 & 1051.41837804051 & 22.6144308473538 \tabularnewline
0.83 & 1058.41021589237 & 23.7111015204754 \tabularnewline
0.84 & 1065.97745347329 & 25.0769605612498 \tabularnewline
0.85 & 1074.22679566559 & 26.6960355700525 \tabularnewline
0.86 & 1083.23378425557 & 28.4476027067224 \tabularnewline
0.87 & 1092.99833309819 & 30.0292034789369 \tabularnewline
0.88 & 1103.40564288234 & 30.9881482230469 \tabularnewline
0.89 & 1114.22853867875 & 30.9051251773082 \tabularnewline
0.9 & 1125.20006976546 & 29.6878987033596 \tabularnewline
0.91 & 1136.1390474625 & 27.7725381649825 \tabularnewline
0.92 & 1147.04622732319 & 25.9603712849251 \tabularnewline
0.93 & 1158.07267165668 & 24.7863312681557 \tabularnewline
0.94 & 1169.3624661598 & 23.8965092810589 \tabularnewline
0.95 & 1180.95078873385 & 22.4497308170734 \tabularnewline
0.96 & 1192.9506979503 & 20.4107938144743 \tabularnewline
0.97 & 1205.97344851064 & 19.0726162976949 \tabularnewline
0.98 & 1221.11794440486 & 19.1769894888409 \tabularnewline
0.99 & 1237.97880561111 & 19.3553972566691 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=169244&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]697.923002722041[/C][C]13.8027931801827[/C][/ROW]
[ROW][C]0.02[/C][C]710.687257793372[/C][C]16.6851190920362[/C][/ROW]
[ROW][C]0.03[/C][C]723.224403791337[/C][C]16.1362127977868[/C][/ROW]
[ROW][C]0.04[/C][C]733.909463208357[/C][C]15.5135723561417[/C][/ROW]
[ROW][C]0.05[/C][C]743.17380509309[/C][C]16.2827042015081[/C][/ROW]
[ROW][C]0.06[/C][C]751.783491310583[/C][C]17.6189768622904[/C][/ROW]
[ROW][C]0.07[/C][C]760.069345457903[/C][C]18.3033527243212[/C][/ROW]
[ROW][C]0.08[/C][C]767.90336652373[/C][C]17.7524964448049[/C][/ROW]
[ROW][C]0.09[/C][C]774.976431830218[/C][C]16.0976353566238[/C][/ROW]
[ROW][C]0.1[/C][C]781.05518710252[/C][C]13.8800259530669[/C][/ROW]
[ROW][C]0.11[/C][C]786.093846392342[/C][C]11.6916613519565[/C][/ROW]
[ROW][C]0.12[/C][C]790.216037697867[/C][C]9.94168927504925[/C][/ROW]
[ROW][C]0.13[/C][C]793.636400666017[/C][C]8.7825468649426[/C][/ROW]
[ROW][C]0.14[/C][C]796.583775787463[/C][C]8.17665149293984[/C][/ROW]
[ROW][C]0.15[/C][C]799.25478407218[/C][C]8.00958193353603[/C][/ROW]
[ROW][C]0.16[/C][C]801.797704749454[/C][C]8.15910374230907[/C][/ROW]
[ROW][C]0.17[/C][C]804.313880796802[/C][C]8.5157847921909[/C][/ROW]
[ROW][C]0.18[/C][C]806.86485888326[/C][C]8.9780644104971[/C][/ROW]
[ROW][C]0.19[/C][C]809.479632414296[/C][C]9.45685639009388[/C][/ROW]
[ROW][C]0.2[/C][C]812.16119238651[/C][C]9.87658258407219[/C][/ROW]
[ROW][C]0.21[/C][C]814.893256372369[/C][C]10.1850292843456[/C][/ROW]
[ROW][C]0.22[/C][C]817.64768633547[/C][C]10.3538667300022[/C][/ROW]
[ROW][C]0.23[/C][C]820.392269024766[/C][C]10.3838644054929[/C][/ROW]
[ROW][C]0.24[/C][C]823.097974273445[/C][C]10.3012819787376[/C][/ROW]
[ROW][C]0.25[/C][C]825.744644845044[/C][C]10.1535285319592[/C][/ROW]
[ROW][C]0.26[/C][C]828.324251421408[/C][C]9.99890959142532[/C][/ROW]
[ROW][C]0.27[/C][C]830.841306116465[/C][C]9.8885604276443[/C][/ROW]
[ROW][C]0.28[/C][C]833.310641518686[/C][C]9.86113766488514[/C][/ROW]
[ROW][C]0.29[/C][C]835.753323953213[/C][C]9.9320854842153[/C][/ROW]
[ROW][C]0.3[/C][C]838.191792507187[/C][C]10.0943359912429[/C][/ROW]
[ROW][C]0.31[/C][C]840.64533311159[/C][C]10.3209841665165[/C][/ROW]
[ROW][C]0.32[/C][C]843.126769031294[/C][C]10.5771722673542[/C][/ROW]
[ROW][C]0.33[/C][C]845.640885494683[/C][C]10.8220767882338[/C][/ROW]
[ROW][C]0.34[/C][C]848.184697431482[/C][C]11.0235417538337[/C][/ROW]
[ROW][C]0.35[/C][C]850.749275544187[/C][C]11.1601181757266[/C][/ROW]
[ROW][C]0.36[/C][C]853.322526914072[/C][C]11.2275979595034[/C][/ROW]
[ROW][C]0.37[/C][C]855.892157514533[/C][C]11.2345164784294[/C][/ROW]
[ROW][C]0.38[/C][C]858.448089305559[/C][C]11.1994937831495[/C][/ROW]
[ROW][C]0.39[/C][C]860.983865914177[/C][C]11.1447062062815[/C][/ROW]
[ROW][C]0.4[/C][C]863.496971444814[/C][C]11.0878388307541[/C][/ROW]
[ROW][C]0.41[/C][C]865.988358164059[/C][C]11.0406057144223[/C][/ROW]
[ROW][C]0.42[/C][C]868.461689406063[/C][C]11.0106820157466[/C][/ROW]
[ROW][C]0.43[/C][C]870.922788488078[/C][C]11.0043239909[/C][/ROW]
[ROW][C]0.44[/C][C]873.379579345076[/C][C]11.0303226674151[/C][/ROW]
[ROW][C]0.45[/C][C]875.842520779333[/C][C]11.1007585484001[/C][/ROW]
[ROW][C]0.46[/C][C]878.325297045239[/C][C]11.2358622046608[/C][/ROW]
[ROW][C]0.47[/C][C]880.84541147919[/C][C]11.4537175214571[/C][/ROW]
[ROW][C]0.48[/C][C]883.424347424286[/C][C]11.7766361954661[/C][/ROW]
[ROW][C]0.49[/C][C]886.087070887944[/C][C]12.2203953496741[/C][/ROW]
[ROW][C]0.5[/C][C]888.86079903815[/C][C]12.7912474409674[/C][/ROW]
[ROW][C]0.51[/C][C]891.773115100097[/C][C]13.4875064383186[/C][/ROW]
[ROW][C]0.52[/C][C]894.849666982061[/C][C]14.2919014744708[/C][/ROW]
[ROW][C]0.53[/C][C]898.111841822845[/C][C]15.1770269130141[/C][/ROW]
[ROW][C]0.54[/C][C]901.57493345462[/C][C]16.1070356779092[/C][/ROW]
[ROW][C]0.55[/C][C]905.24734912842[/C][C]17.0430203934948[/C][/ROW]
[ROW][C]0.56[/C][C]909.131257596527[/C][C]17.9526516463532[/C][/ROW]
[ROW][C]0.57[/C][C]913.22472519831[/C][C]18.8198595458563[/C][/ROW]
[ROW][C]0.58[/C][C]917.524875067628[/C][C]19.6483605642638[/C][/ROW]
[ROW][C]0.59[/C][C]922.031098316678[/C][C]20.4607305218965[/C][/ROW]
[ROW][C]0.6[/C][C]926.747066324235[/C][C]21.288117763034[/C][/ROW]
[ROW][C]0.61[/C][C]931.680426814148[/C][C]22.1548803197251[/C][/ROW]
[ROW][C]0.62[/C][C]936.83966572107[/C][C]23.0642314784549[/C][/ROW]
[ROW][C]0.63[/C][C]942.228547486554[/C][C]23.9804149396646[/C][/ROW]
[ROW][C]0.64[/C][C]947.839514399726[/C][C]24.8351419052693[/C][/ROW]
[ROW][C]0.65[/C][C]953.648078271362[/C][C]25.5336361452092[/C][/ROW]
[ROW][C]0.66[/C][C]959.61029633486[/C][C]25.9795878242134[/C][/ROW]
[ROW][C]0.67[/C][C]965.664791595017[/C][C]26.0964196484202[/C][/ROW]
[ROW][C]0.68[/C][C]971.739586812591[/C][C]25.8498232801155[/C][/ROW]
[ROW][C]0.69[/C][C]977.762599026527[/C][C]25.2642920647582[/C][/ROW]
[ROW][C]0.7[/C][C]983.673424281295[/C][C]24.4166352233961[/C][/ROW]
[ROW][C]0.71[/C][C]989.433451648285[/C][C]23.4278850335853[/C][/ROW]
[ROW][C]0.72[/C][C]995.031655166431[/C][C]22.4368285079926[/C][/ROW]
[ROW][C]0.73[/C][C]1000.48462839866[/C][C]21.5690778541696[/C][/ROW]
[ROW][C]0.74[/C][C]1005.83122333553[/C][C]20.909712481522[/C][/ROW]
[ROW][C]0.75[/C][C]1011.12391934001[/C][C]20.4895914343481[/C][/ROW]
[ROW][C]0.76[/C][C]1016.42006907592[/C][C]20.2916292781186[/C][/ROW]
[ROW][C]0.77[/C][C]1021.7759586478[/C][C]20.2772636787757[/C][/ROW]
[ROW][C]0.78[/C][C]1027.24522348701[/C][C]20.4154249938215[/C][/ROW]
[ROW][C]0.79[/C][C]1032.88125648614[/C][C]20.6957433807145[/C][/ROW]
[ROW][C]0.8[/C][C]1038.74184755687[/C][C]21.1365468773607[/C][/ROW]
[ROW][C]0.81[/C][C]1044.89410084312[/C][C]21.7662037212965[/C][/ROW]
[ROW][C]0.82[/C][C]1051.41837804051[/C][C]22.6144308473538[/C][/ROW]
[ROW][C]0.83[/C][C]1058.41021589237[/C][C]23.7111015204754[/C][/ROW]
[ROW][C]0.84[/C][C]1065.97745347329[/C][C]25.0769605612498[/C][/ROW]
[ROW][C]0.85[/C][C]1074.22679566559[/C][C]26.6960355700525[/C][/ROW]
[ROW][C]0.86[/C][C]1083.23378425557[/C][C]28.4476027067224[/C][/ROW]
[ROW][C]0.87[/C][C]1092.99833309819[/C][C]30.0292034789369[/C][/ROW]
[ROW][C]0.88[/C][C]1103.40564288234[/C][C]30.9881482230469[/C][/ROW]
[ROW][C]0.89[/C][C]1114.22853867875[/C][C]30.9051251773082[/C][/ROW]
[ROW][C]0.9[/C][C]1125.20006976546[/C][C]29.6878987033596[/C][/ROW]
[ROW][C]0.91[/C][C]1136.1390474625[/C][C]27.7725381649825[/C][/ROW]
[ROW][C]0.92[/C][C]1147.04622732319[/C][C]25.9603712849251[/C][/ROW]
[ROW][C]0.93[/C][C]1158.07267165668[/C][C]24.7863312681557[/C][/ROW]
[ROW][C]0.94[/C][C]1169.3624661598[/C][C]23.8965092810589[/C][/ROW]
[ROW][C]0.95[/C][C]1180.95078873385[/C][C]22.4497308170734[/C][/ROW]
[ROW][C]0.96[/C][C]1192.9506979503[/C][C]20.4107938144743[/C][/ROW]
[ROW][C]0.97[/C][C]1205.97344851064[/C][C]19.0726162976949[/C][/ROW]
[ROW][C]0.98[/C][C]1221.11794440486[/C][C]19.1769894888409[/C][/ROW]
[ROW][C]0.99[/C][C]1237.97880561111[/C][C]19.3553972566691[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=169244&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=169244&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
0.01697.92300272204113.8027931801827
0.02710.68725779337216.6851190920362
0.03723.22440379133716.1362127977868
0.04733.90946320835715.5135723561417
0.05743.1738050930916.2827042015081
0.06751.78349131058317.6189768622904
0.07760.06934545790318.3033527243212
0.08767.9033665237317.7524964448049
0.09774.97643183021816.0976353566238
0.1781.0551871025213.8800259530669
0.11786.09384639234211.6916613519565
0.12790.2160376978679.94168927504925
0.13793.6364006660178.7825468649426
0.14796.5837757874638.17665149293984
0.15799.254784072188.00958193353603
0.16801.7977047494548.15910374230907
0.17804.3138807968028.5157847921909
0.18806.864858883268.9780644104971
0.19809.4796324142969.45685639009388
0.2812.161192386519.87658258407219
0.21814.89325637236910.1850292843456
0.22817.6476863354710.3538667300022
0.23820.39226902476610.3838644054929
0.24823.09797427344510.3012819787376
0.25825.74464484504410.1535285319592
0.26828.3242514214089.99890959142532
0.27830.8413061164659.8885604276443
0.28833.3106415186869.86113766488514
0.29835.7533239532139.9320854842153
0.3838.19179250718710.0943359912429
0.31840.6453331115910.3209841665165
0.32843.12676903129410.5771722673542
0.33845.64088549468310.8220767882338
0.34848.18469743148211.0235417538337
0.35850.74927554418711.1601181757266
0.36853.32252691407211.2275979595034
0.37855.89215751453311.2345164784294
0.38858.44808930555911.1994937831495
0.39860.98386591417711.1447062062815
0.4863.49697144481411.0878388307541
0.41865.98835816405911.0406057144223
0.42868.46168940606311.0106820157466
0.43870.92278848807811.0043239909
0.44873.37957934507611.0303226674151
0.45875.84252077933311.1007585484001
0.46878.32529704523911.2358622046608
0.47880.8454114791911.4537175214571
0.48883.42434742428611.7766361954661
0.49886.08707088794412.2203953496741
0.5888.8607990381512.7912474409674
0.51891.77311510009713.4875064383186
0.52894.84966698206114.2919014744708
0.53898.11184182284515.1770269130141
0.54901.5749334546216.1070356779092
0.55905.2473491284217.0430203934948
0.56909.13125759652717.9526516463532
0.57913.2247251983118.8198595458563
0.58917.52487506762819.6483605642638
0.59922.03109831667820.4607305218965
0.6926.74706632423521.288117763034
0.61931.68042681414822.1548803197251
0.62936.8396657210723.0642314784549
0.63942.22854748655423.9804149396646
0.64947.83951439972624.8351419052693
0.65953.64807827136225.5336361452092
0.66959.6102963348625.9795878242134
0.67965.66479159501726.0964196484202
0.68971.73958681259125.8498232801155
0.69977.76259902652725.2642920647582
0.7983.67342428129524.4166352233961
0.71989.43345164828523.4278850335853
0.72995.03165516643122.4368285079926
0.731000.4846283986621.5690778541696
0.741005.8312233355320.909712481522
0.751011.1239193400120.4895914343481
0.761016.4200690759220.2916292781186
0.771021.775958647820.2772636787757
0.781027.2452234870120.4154249938215
0.791032.8812564861420.6957433807145
0.81038.7418475568721.1365468773607
0.811044.8941008431221.7662037212965
0.821051.4183780405122.6144308473538
0.831058.4102158923723.7111015204754
0.841065.9774534732925.0769605612498
0.851074.2267956655926.6960355700525
0.861083.2337842555728.4476027067224
0.871092.9983330981930.0292034789369
0.881103.4056428823430.9881482230469
0.891114.2285386787530.9051251773082
0.91125.2000697654629.6878987033596
0.911136.139047462527.7725381649825
0.921147.0462273231925.9603712849251
0.931158.0726716566824.7863312681557
0.941169.362466159823.8965092810589
0.951180.9507887338522.4497308170734
0.961192.950697950320.4107938144743
0.971205.9734485106419.0726162976949
0.981221.1179444048619.1769894888409
0.991237.9788056111119.3553972566691


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')