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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, 17 Jul 2011 10:09:19 -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/2011/Jul/17/t1310911846qql38erl4blfumg.htm/, Retrieved Thu, 16 May 2024 01:46:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=123069, Retrieved Thu, 16 May 2024 01:46:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordskatrien Monnens
Estimated Impact186

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] [2011-07-17 14:09:19] [0d1085ed835696cdd537ad5fa07600ec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
740
730
740
820
820
850
870
930
890
790
840
880
730
730
770
880
820
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740
740
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920
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910
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930
900
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770
770
810
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820
980
830
760
930
910
640
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690
820
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910
850
980
830
820
1010
930
630
760
670
850
780
900
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810
860
1020
820
670
780
690
800
810
910
870
1010
810
960
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780
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810
760
810
840
900
920
1050
860
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650
830
730
810
840
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870
940
770
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860
760

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=123069&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=123069&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123069&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
0.01636.79660163192111.5021098204577
0.02647.60186049321914.38804321633
0.03658.48961677134714.7600724864544
0.04667.91515054246913.5190792894943
0.05675.81245421339412.9579563059841
0.06682.80129848203213.7570779825277
0.07689.53013698697415.3220198896358
0.08696.33305040963916.8248245787945
0.09703.20575848646617.6311327724911
0.1709.93506625718217.471825001705
0.11716.26024142154116.480642091315
0.12722.00127411004215.0827801553526
0.13727.11909297280513.7796006847692
0.14731.70395026592312.9383985692895
0.15735.91727729333212.6658832695747
0.16739.92387496726712.8277053514435
0.17743.84321877346613.176459606277
0.18747.73132482273613.4841700593919
0.19751.58936154483213.6112431514311
0.2755.38732992799513.5281023236208
0.21759.09031944015513.2948845858776
0.22762.6782667860313.021079580649
0.23766.15498908423512.8230994492825
0.24769.54660241546912.7850026521514
0.25772.8922815263612.9314796298925
0.26776.23147217503213.2276720640319
0.27779.59149551327313.5892303759067
0.28782.97855847342713.9026592543223
0.29786.37397667142414.054742573973
0.3789.73616897790513.9527454702598
0.31793.00778968425613.5483464406979
0.32796.12632372177112.8459432958189
0.33799.03575912915711.8986034198549
0.34801.69676808429310.8011309437843
0.35804.0932729362369.67145628188437
0.36806.2342561465048.62665205081406
0.37808.1509146343957.76540295994091
0.38809.8903872025137.15006776035847
0.39811.5079668501066.80386723080687
0.4813.0597743189826.70809151413485
0.41814.5973550972526.82277732823368
0.42816.164799343397.10362591469977
0.43817.7981015139457.51575347140801
0.44819.5258762467948.03218941633247
0.45821.3703943039298.6341863800759
0.46823.3481725853039.29804077519305
0.47825.4698593948159.99373577490839
0.48827.73964730668510.6903063910063
0.49830.15471696349211.3501656764674
0.5832.70519292702811.9393316254904
0.51835.37484839809312.4316695568552
0.52838.14248853316212.8101382879868
0.53840.98372998682213.0675240769254
0.54843.87285810692313.2010833547683
0.55846.78456098089313.2181789457009
0.56849.69551487108613.1303563381504
0.57852.58591703098112.9547218239364
0.58855.441058982312.7150322953293
0.59858.25290356534612.4437939041121
0.6861.02143057866412.180825799976
0.61863.75533789887511.9690681547914
0.62866.47161459832611.8470266354348
0.63869.19359873836111.8441901098337
0.64871.94740999927111.9675457620021
0.65874.75706667809712.1971596076406
0.66877.6390606843312.486344696281
0.67880.5975293861212.7664701451704
0.68883.62127590716612.9603465059116
0.69886.68364709126812.9976130845413
0.7889.74569192481912.8315010527557
0.71892.76224228345812.4477775235293
0.72895.68982483336411.8726685881657
0.73898.49485522417311.1644156647311
0.74901.16048645241610.4081652266523
0.75903.6907306126919.69814017289474
0.76906.1109232233969.12469018906446
0.77908.4641920967888.75605696150869
0.78910.8043941002928.62454083964064
0.79913.1870779932218.71068918038079
0.8915.6612952993468.95649463078046
0.81918.2660140449469.28743240239137
0.82921.0347016096459.65881614982954
0.83924.00961418008410.0933395296813
0.84927.26329584867310.7084575976468
0.85930.91955140647311.7004330624677
0.86935.16174127392513.2714229842296
0.87940.21582546455915.5021298424616
0.88946.30237097606218.2408916094858
0.89953.56621096098621.083922180131
0.9962.00922698020323.4722389923666
0.91971.46059312223124.8854516590536
0.92981.61237635862225.0391616225895
0.93992.1277027116724.0119311193835
0.941002.7927461550522.2779912917505
0.951013.6227067412820.5700896245868
0.961024.8071347178719.2738302424614
0.971036.6550040803317.6835573407361
0.981050.1242534026416.0048177570527
0.991066.4187858705820.4325260709387

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 636.796601631921 & 11.5021098204577 \tabularnewline
0.02 & 647.601860493219 & 14.38804321633 \tabularnewline
0.03 & 658.489616771347 & 14.7600724864544 \tabularnewline
0.04 & 667.915150542469 & 13.5190792894943 \tabularnewline
0.05 & 675.812454213394 & 12.9579563059841 \tabularnewline
0.06 & 682.801298482032 & 13.7570779825277 \tabularnewline
0.07 & 689.530136986974 & 15.3220198896358 \tabularnewline
0.08 & 696.333050409639 & 16.8248245787945 \tabularnewline
0.09 & 703.205758486466 & 17.6311327724911 \tabularnewline
0.1 & 709.935066257182 & 17.471825001705 \tabularnewline
0.11 & 716.260241421541 & 16.480642091315 \tabularnewline
0.12 & 722.001274110042 & 15.0827801553526 \tabularnewline
0.13 & 727.119092972805 & 13.7796006847692 \tabularnewline
0.14 & 731.703950265923 & 12.9383985692895 \tabularnewline
0.15 & 735.917277293332 & 12.6658832695747 \tabularnewline
0.16 & 739.923874967267 & 12.8277053514435 \tabularnewline
0.17 & 743.843218773466 & 13.176459606277 \tabularnewline
0.18 & 747.731324822736 & 13.4841700593919 \tabularnewline
0.19 & 751.589361544832 & 13.6112431514311 \tabularnewline
0.2 & 755.387329927995 & 13.5281023236208 \tabularnewline
0.21 & 759.090319440155 & 13.2948845858776 \tabularnewline
0.22 & 762.67826678603 & 13.021079580649 \tabularnewline
0.23 & 766.154989084235 & 12.8230994492825 \tabularnewline
0.24 & 769.546602415469 & 12.7850026521514 \tabularnewline
0.25 & 772.89228152636 & 12.9314796298925 \tabularnewline
0.26 & 776.231472175032 & 13.2276720640319 \tabularnewline
0.27 & 779.591495513273 & 13.5892303759067 \tabularnewline
0.28 & 782.978558473427 & 13.9026592543223 \tabularnewline
0.29 & 786.373976671424 & 14.054742573973 \tabularnewline
0.3 & 789.736168977905 & 13.9527454702598 \tabularnewline
0.31 & 793.007789684256 & 13.5483464406979 \tabularnewline
0.32 & 796.126323721771 & 12.8459432958189 \tabularnewline
0.33 & 799.035759129157 & 11.8986034198549 \tabularnewline
0.34 & 801.696768084293 & 10.8011309437843 \tabularnewline
0.35 & 804.093272936236 & 9.67145628188437 \tabularnewline
0.36 & 806.234256146504 & 8.62665205081406 \tabularnewline
0.37 & 808.150914634395 & 7.76540295994091 \tabularnewline
0.38 & 809.890387202513 & 7.15006776035847 \tabularnewline
0.39 & 811.507966850106 & 6.80386723080687 \tabularnewline
0.4 & 813.059774318982 & 6.70809151413485 \tabularnewline
0.41 & 814.597355097252 & 6.82277732823368 \tabularnewline
0.42 & 816.16479934339 & 7.10362591469977 \tabularnewline
0.43 & 817.798101513945 & 7.51575347140801 \tabularnewline
0.44 & 819.525876246794 & 8.03218941633247 \tabularnewline
0.45 & 821.370394303929 & 8.6341863800759 \tabularnewline
0.46 & 823.348172585303 & 9.29804077519305 \tabularnewline
0.47 & 825.469859394815 & 9.99373577490839 \tabularnewline
0.48 & 827.739647306685 & 10.6903063910063 \tabularnewline
0.49 & 830.154716963492 & 11.3501656764674 \tabularnewline
0.5 & 832.705192927028 & 11.9393316254904 \tabularnewline
0.51 & 835.374848398093 & 12.4316695568552 \tabularnewline
0.52 & 838.142488533162 & 12.8101382879868 \tabularnewline
0.53 & 840.983729986822 & 13.0675240769254 \tabularnewline
0.54 & 843.872858106923 & 13.2010833547683 \tabularnewline
0.55 & 846.784560980893 & 13.2181789457009 \tabularnewline
0.56 & 849.695514871086 & 13.1303563381504 \tabularnewline
0.57 & 852.585917030981 & 12.9547218239364 \tabularnewline
0.58 & 855.4410589823 & 12.7150322953293 \tabularnewline
0.59 & 858.252903565346 & 12.4437939041121 \tabularnewline
0.6 & 861.021430578664 & 12.180825799976 \tabularnewline
0.61 & 863.755337898875 & 11.9690681547914 \tabularnewline
0.62 & 866.471614598326 & 11.8470266354348 \tabularnewline
0.63 & 869.193598738361 & 11.8441901098337 \tabularnewline
0.64 & 871.947409999271 & 11.9675457620021 \tabularnewline
0.65 & 874.757066678097 & 12.1971596076406 \tabularnewline
0.66 & 877.63906068433 & 12.486344696281 \tabularnewline
0.67 & 880.59752938612 & 12.7664701451704 \tabularnewline
0.68 & 883.621275907166 & 12.9603465059116 \tabularnewline
0.69 & 886.683647091268 & 12.9976130845413 \tabularnewline
0.7 & 889.745691924819 & 12.8315010527557 \tabularnewline
0.71 & 892.762242283458 & 12.4477775235293 \tabularnewline
0.72 & 895.689824833364 & 11.8726685881657 \tabularnewline
0.73 & 898.494855224173 & 11.1644156647311 \tabularnewline
0.74 & 901.160486452416 & 10.4081652266523 \tabularnewline
0.75 & 903.690730612691 & 9.69814017289474 \tabularnewline
0.76 & 906.110923223396 & 9.12469018906446 \tabularnewline
0.77 & 908.464192096788 & 8.75605696150869 \tabularnewline
0.78 & 910.804394100292 & 8.62454083964064 \tabularnewline
0.79 & 913.187077993221 & 8.71068918038079 \tabularnewline
0.8 & 915.661295299346 & 8.95649463078046 \tabularnewline
0.81 & 918.266014044946 & 9.28743240239137 \tabularnewline
0.82 & 921.034701609645 & 9.65881614982954 \tabularnewline
0.83 & 924.009614180084 & 10.0933395296813 \tabularnewline
0.84 & 927.263295848673 & 10.7084575976468 \tabularnewline
0.85 & 930.919551406473 & 11.7004330624677 \tabularnewline
0.86 & 935.161741273925 & 13.2714229842296 \tabularnewline
0.87 & 940.215825464559 & 15.5021298424616 \tabularnewline
0.88 & 946.302370976062 & 18.2408916094858 \tabularnewline
0.89 & 953.566210960986 & 21.083922180131 \tabularnewline
0.9 & 962.009226980203 & 23.4722389923666 \tabularnewline
0.91 & 971.460593122231 & 24.8854516590536 \tabularnewline
0.92 & 981.612376358622 & 25.0391616225895 \tabularnewline
0.93 & 992.12770271167 & 24.0119311193835 \tabularnewline
0.94 & 1002.79274615505 & 22.2779912917505 \tabularnewline
0.95 & 1013.62270674128 & 20.5700896245868 \tabularnewline
0.96 & 1024.80713471787 & 19.2738302424614 \tabularnewline
0.97 & 1036.65500408033 & 17.6835573407361 \tabularnewline
0.98 & 1050.12425340264 & 16.0048177570527 \tabularnewline
0.99 & 1066.41878587058 & 20.4325260709387 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=123069&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]636.796601631921[/C][C]11.5021098204577[/C][/ROW]
[ROW][C]0.02[/C][C]647.601860493219[/C][C]14.38804321633[/C][/ROW]
[ROW][C]0.03[/C][C]658.489616771347[/C][C]14.7600724864544[/C][/ROW]
[ROW][C]0.04[/C][C]667.915150542469[/C][C]13.5190792894943[/C][/ROW]
[ROW][C]0.05[/C][C]675.812454213394[/C][C]12.9579563059841[/C][/ROW]
[ROW][C]0.06[/C][C]682.801298482032[/C][C]13.7570779825277[/C][/ROW]
[ROW][C]0.07[/C][C]689.530136986974[/C][C]15.3220198896358[/C][/ROW]
[ROW][C]0.08[/C][C]696.333050409639[/C][C]16.8248245787945[/C][/ROW]
[ROW][C]0.09[/C][C]703.205758486466[/C][C]17.6311327724911[/C][/ROW]
[ROW][C]0.1[/C][C]709.935066257182[/C][C]17.471825001705[/C][/ROW]
[ROW][C]0.11[/C][C]716.260241421541[/C][C]16.480642091315[/C][/ROW]
[ROW][C]0.12[/C][C]722.001274110042[/C][C]15.0827801553526[/C][/ROW]
[ROW][C]0.13[/C][C]727.119092972805[/C][C]13.7796006847692[/C][/ROW]
[ROW][C]0.14[/C][C]731.703950265923[/C][C]12.9383985692895[/C][/ROW]
[ROW][C]0.15[/C][C]735.917277293332[/C][C]12.6658832695747[/C][/ROW]
[ROW][C]0.16[/C][C]739.923874967267[/C][C]12.8277053514435[/C][/ROW]
[ROW][C]0.17[/C][C]743.843218773466[/C][C]13.176459606277[/C][/ROW]
[ROW][C]0.18[/C][C]747.731324822736[/C][C]13.4841700593919[/C][/ROW]
[ROW][C]0.19[/C][C]751.589361544832[/C][C]13.6112431514311[/C][/ROW]
[ROW][C]0.2[/C][C]755.387329927995[/C][C]13.5281023236208[/C][/ROW]
[ROW][C]0.21[/C][C]759.090319440155[/C][C]13.2948845858776[/C][/ROW]
[ROW][C]0.22[/C][C]762.67826678603[/C][C]13.021079580649[/C][/ROW]
[ROW][C]0.23[/C][C]766.154989084235[/C][C]12.8230994492825[/C][/ROW]
[ROW][C]0.24[/C][C]769.546602415469[/C][C]12.7850026521514[/C][/ROW]
[ROW][C]0.25[/C][C]772.89228152636[/C][C]12.9314796298925[/C][/ROW]
[ROW][C]0.26[/C][C]776.231472175032[/C][C]13.2276720640319[/C][/ROW]
[ROW][C]0.27[/C][C]779.591495513273[/C][C]13.5892303759067[/C][/ROW]
[ROW][C]0.28[/C][C]782.978558473427[/C][C]13.9026592543223[/C][/ROW]
[ROW][C]0.29[/C][C]786.373976671424[/C][C]14.054742573973[/C][/ROW]
[ROW][C]0.3[/C][C]789.736168977905[/C][C]13.9527454702598[/C][/ROW]
[ROW][C]0.31[/C][C]793.007789684256[/C][C]13.5483464406979[/C][/ROW]
[ROW][C]0.32[/C][C]796.126323721771[/C][C]12.8459432958189[/C][/ROW]
[ROW][C]0.33[/C][C]799.035759129157[/C][C]11.8986034198549[/C][/ROW]
[ROW][C]0.34[/C][C]801.696768084293[/C][C]10.8011309437843[/C][/ROW]
[ROW][C]0.35[/C][C]804.093272936236[/C][C]9.67145628188437[/C][/ROW]
[ROW][C]0.36[/C][C]806.234256146504[/C][C]8.62665205081406[/C][/ROW]
[ROW][C]0.37[/C][C]808.150914634395[/C][C]7.76540295994091[/C][/ROW]
[ROW][C]0.38[/C][C]809.890387202513[/C][C]7.15006776035847[/C][/ROW]
[ROW][C]0.39[/C][C]811.507966850106[/C][C]6.80386723080687[/C][/ROW]
[ROW][C]0.4[/C][C]813.059774318982[/C][C]6.70809151413485[/C][/ROW]
[ROW][C]0.41[/C][C]814.597355097252[/C][C]6.82277732823368[/C][/ROW]
[ROW][C]0.42[/C][C]816.16479934339[/C][C]7.10362591469977[/C][/ROW]
[ROW][C]0.43[/C][C]817.798101513945[/C][C]7.51575347140801[/C][/ROW]
[ROW][C]0.44[/C][C]819.525876246794[/C][C]8.03218941633247[/C][/ROW]
[ROW][C]0.45[/C][C]821.370394303929[/C][C]8.6341863800759[/C][/ROW]
[ROW][C]0.46[/C][C]823.348172585303[/C][C]9.29804077519305[/C][/ROW]
[ROW][C]0.47[/C][C]825.469859394815[/C][C]9.99373577490839[/C][/ROW]
[ROW][C]0.48[/C][C]827.739647306685[/C][C]10.6903063910063[/C][/ROW]
[ROW][C]0.49[/C][C]830.154716963492[/C][C]11.3501656764674[/C][/ROW]
[ROW][C]0.5[/C][C]832.705192927028[/C][C]11.9393316254904[/C][/ROW]
[ROW][C]0.51[/C][C]835.374848398093[/C][C]12.4316695568552[/C][/ROW]
[ROW][C]0.52[/C][C]838.142488533162[/C][C]12.8101382879868[/C][/ROW]
[ROW][C]0.53[/C][C]840.983729986822[/C][C]13.0675240769254[/C][/ROW]
[ROW][C]0.54[/C][C]843.872858106923[/C][C]13.2010833547683[/C][/ROW]
[ROW][C]0.55[/C][C]846.784560980893[/C][C]13.2181789457009[/C][/ROW]
[ROW][C]0.56[/C][C]849.695514871086[/C][C]13.1303563381504[/C][/ROW]
[ROW][C]0.57[/C][C]852.585917030981[/C][C]12.9547218239364[/C][/ROW]
[ROW][C]0.58[/C][C]855.4410589823[/C][C]12.7150322953293[/C][/ROW]
[ROW][C]0.59[/C][C]858.252903565346[/C][C]12.4437939041121[/C][/ROW]
[ROW][C]0.6[/C][C]861.021430578664[/C][C]12.180825799976[/C][/ROW]
[ROW][C]0.61[/C][C]863.755337898875[/C][C]11.9690681547914[/C][/ROW]
[ROW][C]0.62[/C][C]866.471614598326[/C][C]11.8470266354348[/C][/ROW]
[ROW][C]0.63[/C][C]869.193598738361[/C][C]11.8441901098337[/C][/ROW]
[ROW][C]0.64[/C][C]871.947409999271[/C][C]11.9675457620021[/C][/ROW]
[ROW][C]0.65[/C][C]874.757066678097[/C][C]12.1971596076406[/C][/ROW]
[ROW][C]0.66[/C][C]877.63906068433[/C][C]12.486344696281[/C][/ROW]
[ROW][C]0.67[/C][C]880.59752938612[/C][C]12.7664701451704[/C][/ROW]
[ROW][C]0.68[/C][C]883.621275907166[/C][C]12.9603465059116[/C][/ROW]
[ROW][C]0.69[/C][C]886.683647091268[/C][C]12.9976130845413[/C][/ROW]
[ROW][C]0.7[/C][C]889.745691924819[/C][C]12.8315010527557[/C][/ROW]
[ROW][C]0.71[/C][C]892.762242283458[/C][C]12.4477775235293[/C][/ROW]
[ROW][C]0.72[/C][C]895.689824833364[/C][C]11.8726685881657[/C][/ROW]
[ROW][C]0.73[/C][C]898.494855224173[/C][C]11.1644156647311[/C][/ROW]
[ROW][C]0.74[/C][C]901.160486452416[/C][C]10.4081652266523[/C][/ROW]
[ROW][C]0.75[/C][C]903.690730612691[/C][C]9.69814017289474[/C][/ROW]
[ROW][C]0.76[/C][C]906.110923223396[/C][C]9.12469018906446[/C][/ROW]
[ROW][C]0.77[/C][C]908.464192096788[/C][C]8.75605696150869[/C][/ROW]
[ROW][C]0.78[/C][C]910.804394100292[/C][C]8.62454083964064[/C][/ROW]
[ROW][C]0.79[/C][C]913.187077993221[/C][C]8.71068918038079[/C][/ROW]
[ROW][C]0.8[/C][C]915.661295299346[/C][C]8.95649463078046[/C][/ROW]
[ROW][C]0.81[/C][C]918.266014044946[/C][C]9.28743240239137[/C][/ROW]
[ROW][C]0.82[/C][C]921.034701609645[/C][C]9.65881614982954[/C][/ROW]
[ROW][C]0.83[/C][C]924.009614180084[/C][C]10.0933395296813[/C][/ROW]
[ROW][C]0.84[/C][C]927.263295848673[/C][C]10.7084575976468[/C][/ROW]
[ROW][C]0.85[/C][C]930.919551406473[/C][C]11.7004330624677[/C][/ROW]
[ROW][C]0.86[/C][C]935.161741273925[/C][C]13.2714229842296[/C][/ROW]
[ROW][C]0.87[/C][C]940.215825464559[/C][C]15.5021298424616[/C][/ROW]
[ROW][C]0.88[/C][C]946.302370976062[/C][C]18.2408916094858[/C][/ROW]
[ROW][C]0.89[/C][C]953.566210960986[/C][C]21.083922180131[/C][/ROW]
[ROW][C]0.9[/C][C]962.009226980203[/C][C]23.4722389923666[/C][/ROW]
[ROW][C]0.91[/C][C]971.460593122231[/C][C]24.8854516590536[/C][/ROW]
[ROW][C]0.92[/C][C]981.612376358622[/C][C]25.0391616225895[/C][/ROW]
[ROW][C]0.93[/C][C]992.12770271167[/C][C]24.0119311193835[/C][/ROW]
[ROW][C]0.94[/C][C]1002.79274615505[/C][C]22.2779912917505[/C][/ROW]
[ROW][C]0.95[/C][C]1013.62270674128[/C][C]20.5700896245868[/C][/ROW]
[ROW][C]0.96[/C][C]1024.80713471787[/C][C]19.2738302424614[/C][/ROW]
[ROW][C]0.97[/C][C]1036.65500408033[/C][C]17.6835573407361[/C][/ROW]
[ROW][C]0.98[/C][C]1050.12425340264[/C][C]16.0048177570527[/C][/ROW]
[ROW][C]0.99[/C][C]1066.41878587058[/C][C]20.4325260709387[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=123069&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=123069&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
0.01636.79660163192111.5021098204577
0.02647.60186049321914.38804321633
0.03658.48961677134714.7600724864544
0.04667.91515054246913.5190792894943
0.05675.81245421339412.9579563059841
0.06682.80129848203213.7570779825277
0.07689.53013698697415.3220198896358
0.08696.33305040963916.8248245787945
0.09703.20575848646617.6311327724911
0.1709.93506625718217.471825001705
0.11716.26024142154116.480642091315
0.12722.00127411004215.0827801553526
0.13727.11909297280513.7796006847692
0.14731.70395026592312.9383985692895
0.15735.91727729333212.6658832695747
0.16739.92387496726712.8277053514435
0.17743.84321877346613.176459606277
0.18747.73132482273613.4841700593919
0.19751.58936154483213.6112431514311
0.2755.38732992799513.5281023236208
0.21759.09031944015513.2948845858776
0.22762.6782667860313.021079580649
0.23766.15498908423512.8230994492825
0.24769.54660241546912.7850026521514
0.25772.8922815263612.9314796298925
0.26776.23147217503213.2276720640319
0.27779.59149551327313.5892303759067
0.28782.97855847342713.9026592543223
0.29786.37397667142414.054742573973
0.3789.73616897790513.9527454702598
0.31793.00778968425613.5483464406979
0.32796.12632372177112.8459432958189
0.33799.03575912915711.8986034198549
0.34801.69676808429310.8011309437843
0.35804.0932729362369.67145628188437
0.36806.2342561465048.62665205081406
0.37808.1509146343957.76540295994091
0.38809.8903872025137.15006776035847
0.39811.5079668501066.80386723080687
0.4813.0597743189826.70809151413485
0.41814.5973550972526.82277732823368
0.42816.164799343397.10362591469977
0.43817.7981015139457.51575347140801
0.44819.5258762467948.03218941633247
0.45821.3703943039298.6341863800759
0.46823.3481725853039.29804077519305
0.47825.4698593948159.99373577490839
0.48827.73964730668510.6903063910063
0.49830.15471696349211.3501656764674
0.5832.70519292702811.9393316254904
0.51835.37484839809312.4316695568552
0.52838.14248853316212.8101382879868
0.53840.98372998682213.0675240769254
0.54843.87285810692313.2010833547683
0.55846.78456098089313.2181789457009
0.56849.69551487108613.1303563381504
0.57852.58591703098112.9547218239364
0.58855.441058982312.7150322953293
0.59858.25290356534612.4437939041121
0.6861.02143057866412.180825799976
0.61863.75533789887511.9690681547914
0.62866.47161459832611.8470266354348
0.63869.19359873836111.8441901098337
0.64871.94740999927111.9675457620021
0.65874.75706667809712.1971596076406
0.66877.6390606843312.486344696281
0.67880.5975293861212.7664701451704
0.68883.62127590716612.9603465059116
0.69886.68364709126812.9976130845413
0.7889.74569192481912.8315010527557
0.71892.76224228345812.4477775235293
0.72895.68982483336411.8726685881657
0.73898.49485522417311.1644156647311
0.74901.16048645241610.4081652266523
0.75903.6907306126919.69814017289474
0.76906.1109232233969.12469018906446
0.77908.4641920967888.75605696150869
0.78910.8043941002928.62454083964064
0.79913.1870779932218.71068918038079
0.8915.6612952993468.95649463078046
0.81918.2660140449469.28743240239137
0.82921.0347016096459.65881614982954
0.83924.00961418008410.0933395296813
0.84927.26329584867310.7084575976468
0.85930.91955140647311.7004330624677
0.86935.16174127392513.2714229842296
0.87940.21582546455915.5021298424616
0.88946.30237097606218.2408916094858
0.89953.56621096098621.083922180131
0.9962.00922698020323.4722389923666
0.91971.46059312223124.8854516590536
0.92981.61237635862225.0391616225895
0.93992.1277027116724.0119311193835
0.941002.7927461550522.2779912917505
0.951013.6227067412820.5700896245868
0.961024.8071347178719.2738302424614
0.971036.6550040803317.6835573407361
0.981050.1242534026416.0048177570527
0.991066.4187858705820.4325260709387


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')