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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 computationSat, 10 Oct 2015 17:18:21 +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/2015/Oct/10/t14444940538b4eb8u57edfztw.htm/, Retrieved Tue, 14 May 2024 13:42:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282241, Retrieved Tue, 14 May 2024 13:42:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordspercentielen
Estimated Impact79

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] [Harrel-davis FAil...] [2015-10-10 16:18:21] [31d3819645a417a2d8d176ca2e093c99] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
790
766
1040
949
758
1023
921
775
907
835
871
836
789
811
996
778
603
990
735
800
706
766
870
647
726
784
884
696
893
674
703
799
793
799
1022
758
1021
944
915
864
1022
891
1087
822
890
1092
967
833
1104
1063
1103
1039
1185
1047
1155
878
879
1133
920
943
938
900
781
1040
792
653
866
679
799
760
699
762

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282241&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282241&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282241&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01615.05379250921335.058191513531
0.02631.52277120188625.7905283376905
0.03646.60581340963820.6250644109105
0.04658.72431317240419.1564291295459
0.05668.5302327706818.8660344722613
0.06676.90735164973718.6065099797906
0.07684.39878633288818.3829721194114
0.08691.31106287129218.4992572385518
0.09697.86791512657419.1559238487799
0.1704.25826226849820.3040660497871
0.11710.61922690057821.6668212771702
0.12717.01015862153722.8675774755407
0.13723.40540598560623.5724314471011
0.14729.71074550896423.5847410382216
0.15735.79605341643222.8740462476338
0.16741.53224028667221.5618060038314
0.17746.82145703826819.8661324385149
0.18751.61397129424418.0397991029071
0.19755.9104756255816.310848459987
0.2759.75288513511714.8418763921052
0.21763.20886844249213.7097135409693
0.22766.35543189822512.9095291374561
0.23769.265511941812.3766518735043
0.24771.99959621117712.0260214814727
0.25774.60261064585411.7791498877707
0.26777.1050857952511.5767925451296
0.27779.52704931040711.3949751230575
0.28781.88306705130711.2353503747767
0.29784.18716165350911.1215533269026
0.3786.45676739574911.0955768931811
0.31788.71528595709111.2071557417371
0.32790.99311628832211.506139287888
0.33793.32723264851112.033956558747
0.34795.75950352069912.8143236511841
0.35798.33401643450713.8539927773052
0.36801.09372694731615.1294879348419
0.37804.07679456330316.5992132923796
0.38807.31299895118518.1996992190092
0.39810.8206329724919.8561389974827
0.4814.60423229518621.4820811425151
0.41818.65342051446422.9929753194063
0.42822.94303052337524.3069754175506
0.43827.43452330800725.3563830058607
0.44832.07858454640326.090859714098
0.45836.81865629534826.4791702105459
0.46841.5950695464226.5163246602837
0.47846.34939117687626.2197532817194
0.48851.02858812869425.6295557719701
0.49855.58864112248624.8060304594711
0.5859.99730578376923.8216424072609
0.51864.23581399230922.7581333021008
0.52868.29942266699521.6987550017366
0.53872.1968380892420.72015392356
0.54875.94865660775619.8902059375597
0.55879.58505354975119.2598787186455
0.56883.14301177797118.8591791723976
0.57886.66340582650818.6999947368648
0.58890.18824881270918.776534342264
0.59893.75837262129419.0679438435682
0.6897.41175255795819.5454934680789
0.61901.18260864284720.1769793364183
0.62905.10131689801820.931648632806
0.63909.19504480680121.7895457628998
0.64913.4888892756822.7374005724365
0.65918.00715630681823.772705741291
0.66922.77430592749824.9019891443641
0.67927.81503291424826.1320674625928
0.68933.15300768631927.4652066699884
0.69938.80799726907528.8826683851062
0.7944.79143019403530.33651660409
0.71951.10092295403231.7482299893092
0.72957.71475758821733.0051742749625
0.73964.58765619258533.9762113184481
0.74971.64929504084334.5243346495896
0.75978.80673556783734.5367063099896
0.76985.95131175105433.9454125157877
0.77992.96961731816832.7461038487896
0.78999.75730515762131.0091042707304
0.791006.2337088490628.8775973605568
0.81012.3550177517626.5501774287286
0.811018.1239098967624.262567919978
0.821023.5940032317322.259626932496
0.831028.8679576540720.7647257763755
0.841034.0883864760419.9535314338967
0.851039.4210818220119.9032844876941
0.861045.0309790223420.556346452331
0.871051.0534715821921.699885856037
0.881057.5673711579522.993521682148
0.891064.5800195429624.0452748179453
0.91072.0372021817724.5273336323207
0.911079.8668025476724.3116076962424
0.921088.0525602262323.5905446729347
0.931096.714383578322.9055678422463
0.941106.1546585389622.9452304207645
0.951116.832360018424.0224636446235
0.961129.2474784411125.6263757691888
0.971143.6957456437426.7716178708074
0.981159.7094477628827.1822630646946
0.991175.0095755146828.014621109389

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 615.053792509213 & 35.058191513531 \tabularnewline
0.02 & 631.522771201886 & 25.7905283376905 \tabularnewline
0.03 & 646.605813409638 & 20.6250644109105 \tabularnewline
0.04 & 658.724313172404 & 19.1564291295459 \tabularnewline
0.05 & 668.53023277068 & 18.8660344722613 \tabularnewline
0.06 & 676.907351649737 & 18.6065099797906 \tabularnewline
0.07 & 684.398786332888 & 18.3829721194114 \tabularnewline
0.08 & 691.311062871292 & 18.4992572385518 \tabularnewline
0.09 & 697.867915126574 & 19.1559238487799 \tabularnewline
0.1 & 704.258262268498 & 20.3040660497871 \tabularnewline
0.11 & 710.619226900578 & 21.6668212771702 \tabularnewline
0.12 & 717.010158621537 & 22.8675774755407 \tabularnewline
0.13 & 723.405405985606 & 23.5724314471011 \tabularnewline
0.14 & 729.710745508964 & 23.5847410382216 \tabularnewline
0.15 & 735.796053416432 & 22.8740462476338 \tabularnewline
0.16 & 741.532240286672 & 21.5618060038314 \tabularnewline
0.17 & 746.821457038268 & 19.8661324385149 \tabularnewline
0.18 & 751.613971294244 & 18.0397991029071 \tabularnewline
0.19 & 755.91047562558 & 16.310848459987 \tabularnewline
0.2 & 759.752885135117 & 14.8418763921052 \tabularnewline
0.21 & 763.208868442492 & 13.7097135409693 \tabularnewline
0.22 & 766.355431898225 & 12.9095291374561 \tabularnewline
0.23 & 769.2655119418 & 12.3766518735043 \tabularnewline
0.24 & 771.999596211177 & 12.0260214814727 \tabularnewline
0.25 & 774.602610645854 & 11.7791498877707 \tabularnewline
0.26 & 777.10508579525 & 11.5767925451296 \tabularnewline
0.27 & 779.527049310407 & 11.3949751230575 \tabularnewline
0.28 & 781.883067051307 & 11.2353503747767 \tabularnewline
0.29 & 784.187161653509 & 11.1215533269026 \tabularnewline
0.3 & 786.456767395749 & 11.0955768931811 \tabularnewline
0.31 & 788.715285957091 & 11.2071557417371 \tabularnewline
0.32 & 790.993116288322 & 11.506139287888 \tabularnewline
0.33 & 793.327232648511 & 12.033956558747 \tabularnewline
0.34 & 795.759503520699 & 12.8143236511841 \tabularnewline
0.35 & 798.334016434507 & 13.8539927773052 \tabularnewline
0.36 & 801.093726947316 & 15.1294879348419 \tabularnewline
0.37 & 804.076794563303 & 16.5992132923796 \tabularnewline
0.38 & 807.312998951185 & 18.1996992190092 \tabularnewline
0.39 & 810.82063297249 & 19.8561389974827 \tabularnewline
0.4 & 814.604232295186 & 21.4820811425151 \tabularnewline
0.41 & 818.653420514464 & 22.9929753194063 \tabularnewline
0.42 & 822.943030523375 & 24.3069754175506 \tabularnewline
0.43 & 827.434523308007 & 25.3563830058607 \tabularnewline
0.44 & 832.078584546403 & 26.090859714098 \tabularnewline
0.45 & 836.818656295348 & 26.4791702105459 \tabularnewline
0.46 & 841.59506954642 & 26.5163246602837 \tabularnewline
0.47 & 846.349391176876 & 26.2197532817194 \tabularnewline
0.48 & 851.028588128694 & 25.6295557719701 \tabularnewline
0.49 & 855.588641122486 & 24.8060304594711 \tabularnewline
0.5 & 859.997305783769 & 23.8216424072609 \tabularnewline
0.51 & 864.235813992309 & 22.7581333021008 \tabularnewline
0.52 & 868.299422666995 & 21.6987550017366 \tabularnewline
0.53 & 872.19683808924 & 20.72015392356 \tabularnewline
0.54 & 875.948656607756 & 19.8902059375597 \tabularnewline
0.55 & 879.585053549751 & 19.2598787186455 \tabularnewline
0.56 & 883.143011777971 & 18.8591791723976 \tabularnewline
0.57 & 886.663405826508 & 18.6999947368648 \tabularnewline
0.58 & 890.188248812709 & 18.776534342264 \tabularnewline
0.59 & 893.758372621294 & 19.0679438435682 \tabularnewline
0.6 & 897.411752557958 & 19.5454934680789 \tabularnewline
0.61 & 901.182608642847 & 20.1769793364183 \tabularnewline
0.62 & 905.101316898018 & 20.931648632806 \tabularnewline
0.63 & 909.195044806801 & 21.7895457628998 \tabularnewline
0.64 & 913.48888927568 & 22.7374005724365 \tabularnewline
0.65 & 918.007156306818 & 23.772705741291 \tabularnewline
0.66 & 922.774305927498 & 24.9019891443641 \tabularnewline
0.67 & 927.815032914248 & 26.1320674625928 \tabularnewline
0.68 & 933.153007686319 & 27.4652066699884 \tabularnewline
0.69 & 938.807997269075 & 28.8826683851062 \tabularnewline
0.7 & 944.791430194035 & 30.33651660409 \tabularnewline
0.71 & 951.100922954032 & 31.7482299893092 \tabularnewline
0.72 & 957.714757588217 & 33.0051742749625 \tabularnewline
0.73 & 964.587656192585 & 33.9762113184481 \tabularnewline
0.74 & 971.649295040843 & 34.5243346495896 \tabularnewline
0.75 & 978.806735567837 & 34.5367063099896 \tabularnewline
0.76 & 985.951311751054 & 33.9454125157877 \tabularnewline
0.77 & 992.969617318168 & 32.7461038487896 \tabularnewline
0.78 & 999.757305157621 & 31.0091042707304 \tabularnewline
0.79 & 1006.23370884906 & 28.8775973605568 \tabularnewline
0.8 & 1012.35501775176 & 26.5501774287286 \tabularnewline
0.81 & 1018.12390989676 & 24.262567919978 \tabularnewline
0.82 & 1023.59400323173 & 22.259626932496 \tabularnewline
0.83 & 1028.86795765407 & 20.7647257763755 \tabularnewline
0.84 & 1034.08838647604 & 19.9535314338967 \tabularnewline
0.85 & 1039.42108182201 & 19.9032844876941 \tabularnewline
0.86 & 1045.03097902234 & 20.556346452331 \tabularnewline
0.87 & 1051.05347158219 & 21.699885856037 \tabularnewline
0.88 & 1057.56737115795 & 22.993521682148 \tabularnewline
0.89 & 1064.58001954296 & 24.0452748179453 \tabularnewline
0.9 & 1072.03720218177 & 24.5273336323207 \tabularnewline
0.91 & 1079.86680254767 & 24.3116076962424 \tabularnewline
0.92 & 1088.05256022623 & 23.5905446729347 \tabularnewline
0.93 & 1096.7143835783 & 22.9055678422463 \tabularnewline
0.94 & 1106.15465853896 & 22.9452304207645 \tabularnewline
0.95 & 1116.8323600184 & 24.0224636446235 \tabularnewline
0.96 & 1129.24747844111 & 25.6263757691888 \tabularnewline
0.97 & 1143.69574564374 & 26.7716178708074 \tabularnewline
0.98 & 1159.70944776288 & 27.1822630646946 \tabularnewline
0.99 & 1175.00957551468 & 28.014621109389 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282241&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]615.053792509213[/C][C]35.058191513531[/C][/ROW]
[ROW][C]0.02[/C][C]631.522771201886[/C][C]25.7905283376905[/C][/ROW]
[ROW][C]0.03[/C][C]646.605813409638[/C][C]20.6250644109105[/C][/ROW]
[ROW][C]0.04[/C][C]658.724313172404[/C][C]19.1564291295459[/C][/ROW]
[ROW][C]0.05[/C][C]668.53023277068[/C][C]18.8660344722613[/C][/ROW]
[ROW][C]0.06[/C][C]676.907351649737[/C][C]18.6065099797906[/C][/ROW]
[ROW][C]0.07[/C][C]684.398786332888[/C][C]18.3829721194114[/C][/ROW]
[ROW][C]0.08[/C][C]691.311062871292[/C][C]18.4992572385518[/C][/ROW]
[ROW][C]0.09[/C][C]697.867915126574[/C][C]19.1559238487799[/C][/ROW]
[ROW][C]0.1[/C][C]704.258262268498[/C][C]20.3040660497871[/C][/ROW]
[ROW][C]0.11[/C][C]710.619226900578[/C][C]21.6668212771702[/C][/ROW]
[ROW][C]0.12[/C][C]717.010158621537[/C][C]22.8675774755407[/C][/ROW]
[ROW][C]0.13[/C][C]723.405405985606[/C][C]23.5724314471011[/C][/ROW]
[ROW][C]0.14[/C][C]729.710745508964[/C][C]23.5847410382216[/C][/ROW]
[ROW][C]0.15[/C][C]735.796053416432[/C][C]22.8740462476338[/C][/ROW]
[ROW][C]0.16[/C][C]741.532240286672[/C][C]21.5618060038314[/C][/ROW]
[ROW][C]0.17[/C][C]746.821457038268[/C][C]19.8661324385149[/C][/ROW]
[ROW][C]0.18[/C][C]751.613971294244[/C][C]18.0397991029071[/C][/ROW]
[ROW][C]0.19[/C][C]755.91047562558[/C][C]16.310848459987[/C][/ROW]
[ROW][C]0.2[/C][C]759.752885135117[/C][C]14.8418763921052[/C][/ROW]
[ROW][C]0.21[/C][C]763.208868442492[/C][C]13.7097135409693[/C][/ROW]
[ROW][C]0.22[/C][C]766.355431898225[/C][C]12.9095291374561[/C][/ROW]
[ROW][C]0.23[/C][C]769.2655119418[/C][C]12.3766518735043[/C][/ROW]
[ROW][C]0.24[/C][C]771.999596211177[/C][C]12.0260214814727[/C][/ROW]
[ROW][C]0.25[/C][C]774.602610645854[/C][C]11.7791498877707[/C][/ROW]
[ROW][C]0.26[/C][C]777.10508579525[/C][C]11.5767925451296[/C][/ROW]
[ROW][C]0.27[/C][C]779.527049310407[/C][C]11.3949751230575[/C][/ROW]
[ROW][C]0.28[/C][C]781.883067051307[/C][C]11.2353503747767[/C][/ROW]
[ROW][C]0.29[/C][C]784.187161653509[/C][C]11.1215533269026[/C][/ROW]
[ROW][C]0.3[/C][C]786.456767395749[/C][C]11.0955768931811[/C][/ROW]
[ROW][C]0.31[/C][C]788.715285957091[/C][C]11.2071557417371[/C][/ROW]
[ROW][C]0.32[/C][C]790.993116288322[/C][C]11.506139287888[/C][/ROW]
[ROW][C]0.33[/C][C]793.327232648511[/C][C]12.033956558747[/C][/ROW]
[ROW][C]0.34[/C][C]795.759503520699[/C][C]12.8143236511841[/C][/ROW]
[ROW][C]0.35[/C][C]798.334016434507[/C][C]13.8539927773052[/C][/ROW]
[ROW][C]0.36[/C][C]801.093726947316[/C][C]15.1294879348419[/C][/ROW]
[ROW][C]0.37[/C][C]804.076794563303[/C][C]16.5992132923796[/C][/ROW]
[ROW][C]0.38[/C][C]807.312998951185[/C][C]18.1996992190092[/C][/ROW]
[ROW][C]0.39[/C][C]810.82063297249[/C][C]19.8561389974827[/C][/ROW]
[ROW][C]0.4[/C][C]814.604232295186[/C][C]21.4820811425151[/C][/ROW]
[ROW][C]0.41[/C][C]818.653420514464[/C][C]22.9929753194063[/C][/ROW]
[ROW][C]0.42[/C][C]822.943030523375[/C][C]24.3069754175506[/C][/ROW]
[ROW][C]0.43[/C][C]827.434523308007[/C][C]25.3563830058607[/C][/ROW]
[ROW][C]0.44[/C][C]832.078584546403[/C][C]26.090859714098[/C][/ROW]
[ROW][C]0.45[/C][C]836.818656295348[/C][C]26.4791702105459[/C][/ROW]
[ROW][C]0.46[/C][C]841.59506954642[/C][C]26.5163246602837[/C][/ROW]
[ROW][C]0.47[/C][C]846.349391176876[/C][C]26.2197532817194[/C][/ROW]
[ROW][C]0.48[/C][C]851.028588128694[/C][C]25.6295557719701[/C][/ROW]
[ROW][C]0.49[/C][C]855.588641122486[/C][C]24.8060304594711[/C][/ROW]
[ROW][C]0.5[/C][C]859.997305783769[/C][C]23.8216424072609[/C][/ROW]
[ROW][C]0.51[/C][C]864.235813992309[/C][C]22.7581333021008[/C][/ROW]
[ROW][C]0.52[/C][C]868.299422666995[/C][C]21.6987550017366[/C][/ROW]
[ROW][C]0.53[/C][C]872.19683808924[/C][C]20.72015392356[/C][/ROW]
[ROW][C]0.54[/C][C]875.948656607756[/C][C]19.8902059375597[/C][/ROW]
[ROW][C]0.55[/C][C]879.585053549751[/C][C]19.2598787186455[/C][/ROW]
[ROW][C]0.56[/C][C]883.143011777971[/C][C]18.8591791723976[/C][/ROW]
[ROW][C]0.57[/C][C]886.663405826508[/C][C]18.6999947368648[/C][/ROW]
[ROW][C]0.58[/C][C]890.188248812709[/C][C]18.776534342264[/C][/ROW]
[ROW][C]0.59[/C][C]893.758372621294[/C][C]19.0679438435682[/C][/ROW]
[ROW][C]0.6[/C][C]897.411752557958[/C][C]19.5454934680789[/C][/ROW]
[ROW][C]0.61[/C][C]901.182608642847[/C][C]20.1769793364183[/C][/ROW]
[ROW][C]0.62[/C][C]905.101316898018[/C][C]20.931648632806[/C][/ROW]
[ROW][C]0.63[/C][C]909.195044806801[/C][C]21.7895457628998[/C][/ROW]
[ROW][C]0.64[/C][C]913.48888927568[/C][C]22.7374005724365[/C][/ROW]
[ROW][C]0.65[/C][C]918.007156306818[/C][C]23.772705741291[/C][/ROW]
[ROW][C]0.66[/C][C]922.774305927498[/C][C]24.9019891443641[/C][/ROW]
[ROW][C]0.67[/C][C]927.815032914248[/C][C]26.1320674625928[/C][/ROW]
[ROW][C]0.68[/C][C]933.153007686319[/C][C]27.4652066699884[/C][/ROW]
[ROW][C]0.69[/C][C]938.807997269075[/C][C]28.8826683851062[/C][/ROW]
[ROW][C]0.7[/C][C]944.791430194035[/C][C]30.33651660409[/C][/ROW]
[ROW][C]0.71[/C][C]951.100922954032[/C][C]31.7482299893092[/C][/ROW]
[ROW][C]0.72[/C][C]957.714757588217[/C][C]33.0051742749625[/C][/ROW]
[ROW][C]0.73[/C][C]964.587656192585[/C][C]33.9762113184481[/C][/ROW]
[ROW][C]0.74[/C][C]971.649295040843[/C][C]34.5243346495896[/C][/ROW]
[ROW][C]0.75[/C][C]978.806735567837[/C][C]34.5367063099896[/C][/ROW]
[ROW][C]0.76[/C][C]985.951311751054[/C][C]33.9454125157877[/C][/ROW]
[ROW][C]0.77[/C][C]992.969617318168[/C][C]32.7461038487896[/C][/ROW]
[ROW][C]0.78[/C][C]999.757305157621[/C][C]31.0091042707304[/C][/ROW]
[ROW][C]0.79[/C][C]1006.23370884906[/C][C]28.8775973605568[/C][/ROW]
[ROW][C]0.8[/C][C]1012.35501775176[/C][C]26.5501774287286[/C][/ROW]
[ROW][C]0.81[/C][C]1018.12390989676[/C][C]24.262567919978[/C][/ROW]
[ROW][C]0.82[/C][C]1023.59400323173[/C][C]22.259626932496[/C][/ROW]
[ROW][C]0.83[/C][C]1028.86795765407[/C][C]20.7647257763755[/C][/ROW]
[ROW][C]0.84[/C][C]1034.08838647604[/C][C]19.9535314338967[/C][/ROW]
[ROW][C]0.85[/C][C]1039.42108182201[/C][C]19.9032844876941[/C][/ROW]
[ROW][C]0.86[/C][C]1045.03097902234[/C][C]20.556346452331[/C][/ROW]
[ROW][C]0.87[/C][C]1051.05347158219[/C][C]21.699885856037[/C][/ROW]
[ROW][C]0.88[/C][C]1057.56737115795[/C][C]22.993521682148[/C][/ROW]
[ROW][C]0.89[/C][C]1064.58001954296[/C][C]24.0452748179453[/C][/ROW]
[ROW][C]0.9[/C][C]1072.03720218177[/C][C]24.5273336323207[/C][/ROW]
[ROW][C]0.91[/C][C]1079.86680254767[/C][C]24.3116076962424[/C][/ROW]
[ROW][C]0.92[/C][C]1088.05256022623[/C][C]23.5905446729347[/C][/ROW]
[ROW][C]0.93[/C][C]1096.7143835783[/C][C]22.9055678422463[/C][/ROW]
[ROW][C]0.94[/C][C]1106.15465853896[/C][C]22.9452304207645[/C][/ROW]
[ROW][C]0.95[/C][C]1116.8323600184[/C][C]24.0224636446235[/C][/ROW]
[ROW][C]0.96[/C][C]1129.24747844111[/C][C]25.6263757691888[/C][/ROW]
[ROW][C]0.97[/C][C]1143.69574564374[/C][C]26.7716178708074[/C][/ROW]
[ROW][C]0.98[/C][C]1159.70944776288[/C][C]27.1822630646946[/C][/ROW]
[ROW][C]0.99[/C][C]1175.00957551468[/C][C]28.014621109389[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282241&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282241&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
0.01615.05379250921335.058191513531
0.02631.52277120188625.7905283376905
0.03646.60581340963820.6250644109105
0.04658.72431317240419.1564291295459
0.05668.5302327706818.8660344722613
0.06676.90735164973718.6065099797906
0.07684.39878633288818.3829721194114
0.08691.31106287129218.4992572385518
0.09697.86791512657419.1559238487799
0.1704.25826226849820.3040660497871
0.11710.61922690057821.6668212771702
0.12717.01015862153722.8675774755407
0.13723.40540598560623.5724314471011
0.14729.71074550896423.5847410382216
0.15735.79605341643222.8740462476338
0.16741.53224028667221.5618060038314
0.17746.82145703826819.8661324385149
0.18751.61397129424418.0397991029071
0.19755.9104756255816.310848459987
0.2759.75288513511714.8418763921052
0.21763.20886844249213.7097135409693
0.22766.35543189822512.9095291374561
0.23769.265511941812.3766518735043
0.24771.99959621117712.0260214814727
0.25774.60261064585411.7791498877707
0.26777.1050857952511.5767925451296
0.27779.52704931040711.3949751230575
0.28781.88306705130711.2353503747767
0.29784.18716165350911.1215533269026
0.3786.45676739574911.0955768931811
0.31788.71528595709111.2071557417371
0.32790.99311628832211.506139287888
0.33793.32723264851112.033956558747
0.34795.75950352069912.8143236511841
0.35798.33401643450713.8539927773052
0.36801.09372694731615.1294879348419
0.37804.07679456330316.5992132923796
0.38807.31299895118518.1996992190092
0.39810.8206329724919.8561389974827
0.4814.60423229518621.4820811425151
0.41818.65342051446422.9929753194063
0.42822.94303052337524.3069754175506
0.43827.43452330800725.3563830058607
0.44832.07858454640326.090859714098
0.45836.81865629534826.4791702105459
0.46841.5950695464226.5163246602837
0.47846.34939117687626.2197532817194
0.48851.02858812869425.6295557719701
0.49855.58864112248624.8060304594711
0.5859.99730578376923.8216424072609
0.51864.23581399230922.7581333021008
0.52868.29942266699521.6987550017366
0.53872.1968380892420.72015392356
0.54875.94865660775619.8902059375597
0.55879.58505354975119.2598787186455
0.56883.14301177797118.8591791723976
0.57886.66340582650818.6999947368648
0.58890.18824881270918.776534342264
0.59893.75837262129419.0679438435682
0.6897.41175255795819.5454934680789
0.61901.18260864284720.1769793364183
0.62905.10131689801820.931648632806
0.63909.19504480680121.7895457628998
0.64913.4888892756822.7374005724365
0.65918.00715630681823.772705741291
0.66922.77430592749824.9019891443641
0.67927.81503291424826.1320674625928
0.68933.15300768631927.4652066699884
0.69938.80799726907528.8826683851062
0.7944.79143019403530.33651660409
0.71951.10092295403231.7482299893092
0.72957.71475758821733.0051742749625
0.73964.58765619258533.9762113184481
0.74971.64929504084334.5243346495896
0.75978.80673556783734.5367063099896
0.76985.95131175105433.9454125157877
0.77992.96961731816832.7461038487896
0.78999.75730515762131.0091042707304
0.791006.2337088490628.8775973605568
0.81012.3550177517626.5501774287286
0.811018.1239098967624.262567919978
0.821023.5940032317322.259626932496
0.831028.8679576540720.7647257763755
0.841034.0883864760419.9535314338967
0.851039.4210818220119.9032844876941
0.861045.0309790223420.556346452331
0.871051.0534715821921.699885856037
0.881057.5673711579522.993521682148
0.891064.5800195429624.0452748179453
0.91072.0372021817724.5273336323207
0.911079.8668025476724.3116076962424
0.921088.0525602262323.5905446729347
0.931096.714383578322.9055678422463
0.941106.1546585389622.9452304207645
0.951116.832360018424.0224636446235
0.961129.2474784411125.6263757691888
0.971143.6957456437426.7716178708074
0.981159.7094477628827.1822630646946
0.991175.0095755146828.014621109389


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 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')