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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, 13 Aug 2014 11:30:20 +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/Aug/13/t14079258760s0rbdvde5i0395.htm/, Retrieved Fri, 02 Jan 2026 02:36:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=235507, Retrieved Fri, 02 Jan 2026 02:36:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact336

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [(Partial) Autocorrelation Function] [] [2014-08-13 09:41:06] [ba0170e6f15797e8c541ec0953bc1848]
- RMPD    [Harrell-Davis Quantiles] [] [2014-08-13 10:30:20] [b3e3d38149b35cb70244b37a39776b3a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1020
970
1030
970
1070
1650
1010
980
1050
1010
1040
1120
1090
1060
990
950
1540
870
1070
1050
1020
960
1100
1190
1040
1090
1050
850
1100
850
1040
990
1040
1100
1030
1290
1040
1170
1040
860
1090
870
1080
1000
980
1080
1040
1280
1140
1220
1080
790
1020
830
1150
1030
900
1140
1010
1270
1090
1090
980
850
1010
810
1070
1040
880
1110
1010
1230
490
1040
1010
860
1010
800
1130
1040
940
1070
1030
1320
1040
1070
1070
770
1010
810
1150
1030
890
1010
1120
1250
990
1020
1110
830
1030
870
1260
980
940
970
1100
1320

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235507&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235507&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235507&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01607.27084595484172.490434202153
0.02722.08938067963872.5168981811601
0.03778.89945295890428.9974305092851
0.04802.18224121312818.6070870984396
0.05814.4925810220117.774550855695
0.06823.96797924792618.1288080368466
0.07832.46525680561717.8768647626016
0.08840.21007885171317.0345590192739
0.09847.23087348059416.2209218159045
0.1853.70005075614516.1194284465699
0.11859.94742919331517.1838872421612
0.12866.37617934484619.529212551665
0.13873.36539525456222.9513984008511
0.14881.18737512435526.9806599358685
0.15889.94859258053930.9641334013338
0.16899.56346308519134.2153666620801
0.17909.76981599320336.1725445451004
0.18920.18529274860736.5440208525292
0.19930.38944633334335.3596660922524
0.2940.00711269000432.9250642213131
0.21948.77021427614729.7183972284907
0.22956.5455220978926.2532605510166
0.23963.3286439634922.9709744123399
0.24969.21379944696620.1773306566489
0.25974.35242033452518.0159272106893
0.26978.91223813593216.4803299442005
0.27983.04473526679515.445837176266
0.28986.86479530040814.7251936789386
0.29990.44315911134414.1249868308874
0.3993.81002893020113.4931046657531
0.31996.96665536992112.7449043137136
0.32999.90086930614811.8702995717285
0.331002.6023458235810.9222197410981
0.341005.074015440889.99519388634971
0.351007.337407443839.19745778489885
0.361009.431504054328.61618555421447
0.371011.406406286528.29371222060731
0.381013.31427739778.21377217440993
0.391015.200353718548.31434068349928
0.41017.09630850238.50765609285664
0.411019.017200235328.70695613420358
0.421020.962045439038.84396525638545
0.431022.917115081828.87597894108624
0.441024.860601307878.7835217814038
0.451026.767373303648.5686895965718
0.461028.612994672718.24501121262753
0.471030.376763717247.83673716526423
0.481032.044011085237.36994335352387
0.491033.608076064856.88546377079392
0.51035.072245216346.42337346142476
0.511036.451570865526.04362469616184
0.521037.774077147745.81560808641492
0.531039.080607943375.80744654863236
0.541040.422614784156.07685304772034
0.551041.857555368956.64125044246194
0.561043.442188077087.47085215073933
0.571045.224728004748.49617978965435
0.581047.237360843329.61100672334284
0.591049.4907999954210.7044623142532
0.61051.9723060581611.6628087284756
0.611054.6478750242612.3964126953906
0.621057.4682937872112.854445952941
0.631060.3777348299913.0332966374698
0.641063.3228486129212.9694960492753
0.651066.2601883641612.7293667532005
0.661069.160366048912.3946381571333
0.671072.0084363383612.0331876333707
0.681074.8012567792311.6900751753241
0.691077.5435072313911.3862680473273
0.71080.2443113723111.1227961988649
0.711082.9159074330610.8995379439927
0.721085.5748031863210.7308386663084
0.731088.244762601910.6487368216786
0.741090.9602375754810.7031838027651
0.751093.7687063352510.9510423216677
0.761096.7307852075511.4375864174683
0.771099.917762151912.1909128263164
0.781103.4071799810213.2094812835773
0.791107.2781614674514.4647853441442
0.81111.6091516099615.9167384037203
0.811116.4811942837117.5398670520939
0.821121.9888815332319.355190814602
0.831128.2577285723721.4608747497218
0.841135.4607897788624.0212282072464
0.851143.8208135408227.1961929085264
0.861153.5817994064531.0040695174972
0.871164.9412039793635.1656862451874
0.881177.9536784458839.0578036212469
0.891192.4432743170741.8407362216007
0.91207.9787811246542.7484234352695
0.911223.9605517773141.4458441954605
0.921239.8360722532938.3059939771707
0.931255.4411069051934.4828126083624
0.941271.5454475472131.9371057894419
0.951290.9459609053334.1329325452537
0.961320.4916840484148.3521189664954
0.971372.5712238997382.7225014997541
0.981459.416676333125.378624573518
0.991571.03999646515132.992013217137

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 607.27084595484 & 172.490434202153 \tabularnewline
0.02 & 722.089380679638 & 72.5168981811601 \tabularnewline
0.03 & 778.899452958904 & 28.9974305092851 \tabularnewline
0.04 & 802.182241213128 & 18.6070870984396 \tabularnewline
0.05 & 814.49258102201 & 17.774550855695 \tabularnewline
0.06 & 823.967979247926 & 18.1288080368466 \tabularnewline
0.07 & 832.465256805617 & 17.8768647626016 \tabularnewline
0.08 & 840.210078851713 & 17.0345590192739 \tabularnewline
0.09 & 847.230873480594 & 16.2209218159045 \tabularnewline
0.1 & 853.700050756145 & 16.1194284465699 \tabularnewline
0.11 & 859.947429193315 & 17.1838872421612 \tabularnewline
0.12 & 866.376179344846 & 19.529212551665 \tabularnewline
0.13 & 873.365395254562 & 22.9513984008511 \tabularnewline
0.14 & 881.187375124355 & 26.9806599358685 \tabularnewline
0.15 & 889.948592580539 & 30.9641334013338 \tabularnewline
0.16 & 899.563463085191 & 34.2153666620801 \tabularnewline
0.17 & 909.769815993203 & 36.1725445451004 \tabularnewline
0.18 & 920.185292748607 & 36.5440208525292 \tabularnewline
0.19 & 930.389446333343 & 35.3596660922524 \tabularnewline
0.2 & 940.007112690004 & 32.9250642213131 \tabularnewline
0.21 & 948.770214276147 & 29.7183972284907 \tabularnewline
0.22 & 956.54552209789 & 26.2532605510166 \tabularnewline
0.23 & 963.32864396349 & 22.9709744123399 \tabularnewline
0.24 & 969.213799446966 & 20.1773306566489 \tabularnewline
0.25 & 974.352420334525 & 18.0159272106893 \tabularnewline
0.26 & 978.912238135932 & 16.4803299442005 \tabularnewline
0.27 & 983.044735266795 & 15.445837176266 \tabularnewline
0.28 & 986.864795300408 & 14.7251936789386 \tabularnewline
0.29 & 990.443159111344 & 14.1249868308874 \tabularnewline
0.3 & 993.810028930201 & 13.4931046657531 \tabularnewline
0.31 & 996.966655369921 & 12.7449043137136 \tabularnewline
0.32 & 999.900869306148 & 11.8702995717285 \tabularnewline
0.33 & 1002.60234582358 & 10.9222197410981 \tabularnewline
0.34 & 1005.07401544088 & 9.99519388634971 \tabularnewline
0.35 & 1007.33740744383 & 9.19745778489885 \tabularnewline
0.36 & 1009.43150405432 & 8.61618555421447 \tabularnewline
0.37 & 1011.40640628652 & 8.29371222060731 \tabularnewline
0.38 & 1013.3142773977 & 8.21377217440993 \tabularnewline
0.39 & 1015.20035371854 & 8.31434068349928 \tabularnewline
0.4 & 1017.0963085023 & 8.50765609285664 \tabularnewline
0.41 & 1019.01720023532 & 8.70695613420358 \tabularnewline
0.42 & 1020.96204543903 & 8.84396525638545 \tabularnewline
0.43 & 1022.91711508182 & 8.87597894108624 \tabularnewline
0.44 & 1024.86060130787 & 8.7835217814038 \tabularnewline
0.45 & 1026.76737330364 & 8.5686895965718 \tabularnewline
0.46 & 1028.61299467271 & 8.24501121262753 \tabularnewline
0.47 & 1030.37676371724 & 7.83673716526423 \tabularnewline
0.48 & 1032.04401108523 & 7.36994335352387 \tabularnewline
0.49 & 1033.60807606485 & 6.88546377079392 \tabularnewline
0.5 & 1035.07224521634 & 6.42337346142476 \tabularnewline
0.51 & 1036.45157086552 & 6.04362469616184 \tabularnewline
0.52 & 1037.77407714774 & 5.81560808641492 \tabularnewline
0.53 & 1039.08060794337 & 5.80744654863236 \tabularnewline
0.54 & 1040.42261478415 & 6.07685304772034 \tabularnewline
0.55 & 1041.85755536895 & 6.64125044246194 \tabularnewline
0.56 & 1043.44218807708 & 7.47085215073933 \tabularnewline
0.57 & 1045.22472800474 & 8.49617978965435 \tabularnewline
0.58 & 1047.23736084332 & 9.61100672334284 \tabularnewline
0.59 & 1049.49079999542 & 10.7044623142532 \tabularnewline
0.6 & 1051.97230605816 & 11.6628087284756 \tabularnewline
0.61 & 1054.64787502426 & 12.3964126953906 \tabularnewline
0.62 & 1057.46829378721 & 12.854445952941 \tabularnewline
0.63 & 1060.37773482999 & 13.0332966374698 \tabularnewline
0.64 & 1063.32284861292 & 12.9694960492753 \tabularnewline
0.65 & 1066.26018836416 & 12.7293667532005 \tabularnewline
0.66 & 1069.1603660489 & 12.3946381571333 \tabularnewline
0.67 & 1072.00843633836 & 12.0331876333707 \tabularnewline
0.68 & 1074.80125677923 & 11.6900751753241 \tabularnewline
0.69 & 1077.54350723139 & 11.3862680473273 \tabularnewline
0.7 & 1080.24431137231 & 11.1227961988649 \tabularnewline
0.71 & 1082.91590743306 & 10.8995379439927 \tabularnewline
0.72 & 1085.57480318632 & 10.7308386663084 \tabularnewline
0.73 & 1088.2447626019 & 10.6487368216786 \tabularnewline
0.74 & 1090.96023757548 & 10.7031838027651 \tabularnewline
0.75 & 1093.76870633525 & 10.9510423216677 \tabularnewline
0.76 & 1096.73078520755 & 11.4375864174683 \tabularnewline
0.77 & 1099.9177621519 & 12.1909128263164 \tabularnewline
0.78 & 1103.40717998102 & 13.2094812835773 \tabularnewline
0.79 & 1107.27816146745 & 14.4647853441442 \tabularnewline
0.8 & 1111.60915160996 & 15.9167384037203 \tabularnewline
0.81 & 1116.48119428371 & 17.5398670520939 \tabularnewline
0.82 & 1121.98888153323 & 19.355190814602 \tabularnewline
0.83 & 1128.25772857237 & 21.4608747497218 \tabularnewline
0.84 & 1135.46078977886 & 24.0212282072464 \tabularnewline
0.85 & 1143.82081354082 & 27.1961929085264 \tabularnewline
0.86 & 1153.58179940645 & 31.0040695174972 \tabularnewline
0.87 & 1164.94120397936 & 35.1656862451874 \tabularnewline
0.88 & 1177.95367844588 & 39.0578036212469 \tabularnewline
0.89 & 1192.44327431707 & 41.8407362216007 \tabularnewline
0.9 & 1207.97878112465 & 42.7484234352695 \tabularnewline
0.91 & 1223.96055177731 & 41.4458441954605 \tabularnewline
0.92 & 1239.83607225329 & 38.3059939771707 \tabularnewline
0.93 & 1255.44110690519 & 34.4828126083624 \tabularnewline
0.94 & 1271.54544754721 & 31.9371057894419 \tabularnewline
0.95 & 1290.94596090533 & 34.1329325452537 \tabularnewline
0.96 & 1320.49168404841 & 48.3521189664954 \tabularnewline
0.97 & 1372.57122389973 & 82.7225014997541 \tabularnewline
0.98 & 1459.416676333 & 125.378624573518 \tabularnewline
0.99 & 1571.03999646515 & 132.992013217137 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=235507&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]607.27084595484[/C][C]172.490434202153[/C][/ROW]
[ROW][C]0.02[/C][C]722.089380679638[/C][C]72.5168981811601[/C][/ROW]
[ROW][C]0.03[/C][C]778.899452958904[/C][C]28.9974305092851[/C][/ROW]
[ROW][C]0.04[/C][C]802.182241213128[/C][C]18.6070870984396[/C][/ROW]
[ROW][C]0.05[/C][C]814.49258102201[/C][C]17.774550855695[/C][/ROW]
[ROW][C]0.06[/C][C]823.967979247926[/C][C]18.1288080368466[/C][/ROW]
[ROW][C]0.07[/C][C]832.465256805617[/C][C]17.8768647626016[/C][/ROW]
[ROW][C]0.08[/C][C]840.210078851713[/C][C]17.0345590192739[/C][/ROW]
[ROW][C]0.09[/C][C]847.230873480594[/C][C]16.2209218159045[/C][/ROW]
[ROW][C]0.1[/C][C]853.700050756145[/C][C]16.1194284465699[/C][/ROW]
[ROW][C]0.11[/C][C]859.947429193315[/C][C]17.1838872421612[/C][/ROW]
[ROW][C]0.12[/C][C]866.376179344846[/C][C]19.529212551665[/C][/ROW]
[ROW][C]0.13[/C][C]873.365395254562[/C][C]22.9513984008511[/C][/ROW]
[ROW][C]0.14[/C][C]881.187375124355[/C][C]26.9806599358685[/C][/ROW]
[ROW][C]0.15[/C][C]889.948592580539[/C][C]30.9641334013338[/C][/ROW]
[ROW][C]0.16[/C][C]899.563463085191[/C][C]34.2153666620801[/C][/ROW]
[ROW][C]0.17[/C][C]909.769815993203[/C][C]36.1725445451004[/C][/ROW]
[ROW][C]0.18[/C][C]920.185292748607[/C][C]36.5440208525292[/C][/ROW]
[ROW][C]0.19[/C][C]930.389446333343[/C][C]35.3596660922524[/C][/ROW]
[ROW][C]0.2[/C][C]940.007112690004[/C][C]32.9250642213131[/C][/ROW]
[ROW][C]0.21[/C][C]948.770214276147[/C][C]29.7183972284907[/C][/ROW]
[ROW][C]0.22[/C][C]956.54552209789[/C][C]26.2532605510166[/C][/ROW]
[ROW][C]0.23[/C][C]963.32864396349[/C][C]22.9709744123399[/C][/ROW]
[ROW][C]0.24[/C][C]969.213799446966[/C][C]20.1773306566489[/C][/ROW]
[ROW][C]0.25[/C][C]974.352420334525[/C][C]18.0159272106893[/C][/ROW]
[ROW][C]0.26[/C][C]978.912238135932[/C][C]16.4803299442005[/C][/ROW]
[ROW][C]0.27[/C][C]983.044735266795[/C][C]15.445837176266[/C][/ROW]
[ROW][C]0.28[/C][C]986.864795300408[/C][C]14.7251936789386[/C][/ROW]
[ROW][C]0.29[/C][C]990.443159111344[/C][C]14.1249868308874[/C][/ROW]
[ROW][C]0.3[/C][C]993.810028930201[/C][C]13.4931046657531[/C][/ROW]
[ROW][C]0.31[/C][C]996.966655369921[/C][C]12.7449043137136[/C][/ROW]
[ROW][C]0.32[/C][C]999.900869306148[/C][C]11.8702995717285[/C][/ROW]
[ROW][C]0.33[/C][C]1002.60234582358[/C][C]10.9222197410981[/C][/ROW]
[ROW][C]0.34[/C][C]1005.07401544088[/C][C]9.99519388634971[/C][/ROW]
[ROW][C]0.35[/C][C]1007.33740744383[/C][C]9.19745778489885[/C][/ROW]
[ROW][C]0.36[/C][C]1009.43150405432[/C][C]8.61618555421447[/C][/ROW]
[ROW][C]0.37[/C][C]1011.40640628652[/C][C]8.29371222060731[/C][/ROW]
[ROW][C]0.38[/C][C]1013.3142773977[/C][C]8.21377217440993[/C][/ROW]
[ROW][C]0.39[/C][C]1015.20035371854[/C][C]8.31434068349928[/C][/ROW]
[ROW][C]0.4[/C][C]1017.0963085023[/C][C]8.50765609285664[/C][/ROW]
[ROW][C]0.41[/C][C]1019.01720023532[/C][C]8.70695613420358[/C][/ROW]
[ROW][C]0.42[/C][C]1020.96204543903[/C][C]8.84396525638545[/C][/ROW]
[ROW][C]0.43[/C][C]1022.91711508182[/C][C]8.87597894108624[/C][/ROW]
[ROW][C]0.44[/C][C]1024.86060130787[/C][C]8.7835217814038[/C][/ROW]
[ROW][C]0.45[/C][C]1026.76737330364[/C][C]8.5686895965718[/C][/ROW]
[ROW][C]0.46[/C][C]1028.61299467271[/C][C]8.24501121262753[/C][/ROW]
[ROW][C]0.47[/C][C]1030.37676371724[/C][C]7.83673716526423[/C][/ROW]
[ROW][C]0.48[/C][C]1032.04401108523[/C][C]7.36994335352387[/C][/ROW]
[ROW][C]0.49[/C][C]1033.60807606485[/C][C]6.88546377079392[/C][/ROW]
[ROW][C]0.5[/C][C]1035.07224521634[/C][C]6.42337346142476[/C][/ROW]
[ROW][C]0.51[/C][C]1036.45157086552[/C][C]6.04362469616184[/C][/ROW]
[ROW][C]0.52[/C][C]1037.77407714774[/C][C]5.81560808641492[/C][/ROW]
[ROW][C]0.53[/C][C]1039.08060794337[/C][C]5.80744654863236[/C][/ROW]
[ROW][C]0.54[/C][C]1040.42261478415[/C][C]6.07685304772034[/C][/ROW]
[ROW][C]0.55[/C][C]1041.85755536895[/C][C]6.64125044246194[/C][/ROW]
[ROW][C]0.56[/C][C]1043.44218807708[/C][C]7.47085215073933[/C][/ROW]
[ROW][C]0.57[/C][C]1045.22472800474[/C][C]8.49617978965435[/C][/ROW]
[ROW][C]0.58[/C][C]1047.23736084332[/C][C]9.61100672334284[/C][/ROW]
[ROW][C]0.59[/C][C]1049.49079999542[/C][C]10.7044623142532[/C][/ROW]
[ROW][C]0.6[/C][C]1051.97230605816[/C][C]11.6628087284756[/C][/ROW]
[ROW][C]0.61[/C][C]1054.64787502426[/C][C]12.3964126953906[/C][/ROW]
[ROW][C]0.62[/C][C]1057.46829378721[/C][C]12.854445952941[/C][/ROW]
[ROW][C]0.63[/C][C]1060.37773482999[/C][C]13.0332966374698[/C][/ROW]
[ROW][C]0.64[/C][C]1063.32284861292[/C][C]12.9694960492753[/C][/ROW]
[ROW][C]0.65[/C][C]1066.26018836416[/C][C]12.7293667532005[/C][/ROW]
[ROW][C]0.66[/C][C]1069.1603660489[/C][C]12.3946381571333[/C][/ROW]
[ROW][C]0.67[/C][C]1072.00843633836[/C][C]12.0331876333707[/C][/ROW]
[ROW][C]0.68[/C][C]1074.80125677923[/C][C]11.6900751753241[/C][/ROW]
[ROW][C]0.69[/C][C]1077.54350723139[/C][C]11.3862680473273[/C][/ROW]
[ROW][C]0.7[/C][C]1080.24431137231[/C][C]11.1227961988649[/C][/ROW]
[ROW][C]0.71[/C][C]1082.91590743306[/C][C]10.8995379439927[/C][/ROW]
[ROW][C]0.72[/C][C]1085.57480318632[/C][C]10.7308386663084[/C][/ROW]
[ROW][C]0.73[/C][C]1088.2447626019[/C][C]10.6487368216786[/C][/ROW]
[ROW][C]0.74[/C][C]1090.96023757548[/C][C]10.7031838027651[/C][/ROW]
[ROW][C]0.75[/C][C]1093.76870633525[/C][C]10.9510423216677[/C][/ROW]
[ROW][C]0.76[/C][C]1096.73078520755[/C][C]11.4375864174683[/C][/ROW]
[ROW][C]0.77[/C][C]1099.9177621519[/C][C]12.1909128263164[/C][/ROW]
[ROW][C]0.78[/C][C]1103.40717998102[/C][C]13.2094812835773[/C][/ROW]
[ROW][C]0.79[/C][C]1107.27816146745[/C][C]14.4647853441442[/C][/ROW]
[ROW][C]0.8[/C][C]1111.60915160996[/C][C]15.9167384037203[/C][/ROW]
[ROW][C]0.81[/C][C]1116.48119428371[/C][C]17.5398670520939[/C][/ROW]
[ROW][C]0.82[/C][C]1121.98888153323[/C][C]19.355190814602[/C][/ROW]
[ROW][C]0.83[/C][C]1128.25772857237[/C][C]21.4608747497218[/C][/ROW]
[ROW][C]0.84[/C][C]1135.46078977886[/C][C]24.0212282072464[/C][/ROW]
[ROW][C]0.85[/C][C]1143.82081354082[/C][C]27.1961929085264[/C][/ROW]
[ROW][C]0.86[/C][C]1153.58179940645[/C][C]31.0040695174972[/C][/ROW]
[ROW][C]0.87[/C][C]1164.94120397936[/C][C]35.1656862451874[/C][/ROW]
[ROW][C]0.88[/C][C]1177.95367844588[/C][C]39.0578036212469[/C][/ROW]
[ROW][C]0.89[/C][C]1192.44327431707[/C][C]41.8407362216007[/C][/ROW]
[ROW][C]0.9[/C][C]1207.97878112465[/C][C]42.7484234352695[/C][/ROW]
[ROW][C]0.91[/C][C]1223.96055177731[/C][C]41.4458441954605[/C][/ROW]
[ROW][C]0.92[/C][C]1239.83607225329[/C][C]38.3059939771707[/C][/ROW]
[ROW][C]0.93[/C][C]1255.44110690519[/C][C]34.4828126083624[/C][/ROW]
[ROW][C]0.94[/C][C]1271.54544754721[/C][C]31.9371057894419[/C][/ROW]
[ROW][C]0.95[/C][C]1290.94596090533[/C][C]34.1329325452537[/C][/ROW]
[ROW][C]0.96[/C][C]1320.49168404841[/C][C]48.3521189664954[/C][/ROW]
[ROW][C]0.97[/C][C]1372.57122389973[/C][C]82.7225014997541[/C][/ROW]
[ROW][C]0.98[/C][C]1459.416676333[/C][C]125.378624573518[/C][/ROW]
[ROW][C]0.99[/C][C]1571.03999646515[/C][C]132.992013217137[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=235507&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=235507&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
0.01607.27084595484172.490434202153
0.02722.08938067963872.5168981811601
0.03778.89945295890428.9974305092851
0.04802.18224121312818.6070870984396
0.05814.4925810220117.774550855695
0.06823.96797924792618.1288080368466
0.07832.46525680561717.8768647626016
0.08840.21007885171317.0345590192739
0.09847.23087348059416.2209218159045
0.1853.70005075614516.1194284465699
0.11859.94742919331517.1838872421612
0.12866.37617934484619.529212551665
0.13873.36539525456222.9513984008511
0.14881.18737512435526.9806599358685
0.15889.94859258053930.9641334013338
0.16899.56346308519134.2153666620801
0.17909.76981599320336.1725445451004
0.18920.18529274860736.5440208525292
0.19930.38944633334335.3596660922524
0.2940.00711269000432.9250642213131
0.21948.77021427614729.7183972284907
0.22956.5455220978926.2532605510166
0.23963.3286439634922.9709744123399
0.24969.21379944696620.1773306566489
0.25974.35242033452518.0159272106893
0.26978.91223813593216.4803299442005
0.27983.04473526679515.445837176266
0.28986.86479530040814.7251936789386
0.29990.44315911134414.1249868308874
0.3993.81002893020113.4931046657531
0.31996.96665536992112.7449043137136
0.32999.90086930614811.8702995717285
0.331002.6023458235810.9222197410981
0.341005.074015440889.99519388634971
0.351007.337407443839.19745778489885
0.361009.431504054328.61618555421447
0.371011.406406286528.29371222060731
0.381013.31427739778.21377217440993
0.391015.200353718548.31434068349928
0.41017.09630850238.50765609285664
0.411019.017200235328.70695613420358
0.421020.962045439038.84396525638545
0.431022.917115081828.87597894108624
0.441024.860601307878.7835217814038
0.451026.767373303648.5686895965718
0.461028.612994672718.24501121262753
0.471030.376763717247.83673716526423
0.481032.044011085237.36994335352387
0.491033.608076064856.88546377079392
0.51035.072245216346.42337346142476
0.511036.451570865526.04362469616184
0.521037.774077147745.81560808641492
0.531039.080607943375.80744654863236
0.541040.422614784156.07685304772034
0.551041.857555368956.64125044246194
0.561043.442188077087.47085215073933
0.571045.224728004748.49617978965435
0.581047.237360843329.61100672334284
0.591049.4907999954210.7044623142532
0.61051.9723060581611.6628087284756
0.611054.6478750242612.3964126953906
0.621057.4682937872112.854445952941
0.631060.3777348299913.0332966374698
0.641063.3228486129212.9694960492753
0.651066.2601883641612.7293667532005
0.661069.160366048912.3946381571333
0.671072.0084363383612.0331876333707
0.681074.8012567792311.6900751753241
0.691077.5435072313911.3862680473273
0.71080.2443113723111.1227961988649
0.711082.9159074330610.8995379439927
0.721085.5748031863210.7308386663084
0.731088.244762601910.6487368216786
0.741090.9602375754810.7031838027651
0.751093.7687063352510.9510423216677
0.761096.7307852075511.4375864174683
0.771099.917762151912.1909128263164
0.781103.4071799810213.2094812835773
0.791107.2781614674514.4647853441442
0.81111.6091516099615.9167384037203
0.811116.4811942837117.5398670520939
0.821121.9888815332319.355190814602
0.831128.2577285723721.4608747497218
0.841135.4607897788624.0212282072464
0.851143.8208135408227.1961929085264
0.861153.5817994064531.0040695174972
0.871164.9412039793635.1656862451874
0.881177.9536784458839.0578036212469
0.891192.4432743170741.8407362216007
0.91207.9787811246542.7484234352695
0.911223.9605517773141.4458441954605
0.921239.8360722532938.3059939771707
0.931255.4411069051934.4828126083624
0.941271.5454475472131.9371057894419
0.951290.9459609053334.1329325452537
0.961320.4916840484148.3521189664954
0.971372.5712238997382.7225014997541
0.981459.416676333125.378624573518
0.991571.03999646515132.992013217137


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = Default ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ; par8 = 48 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.10'
par2 <- '0.90'
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')