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Harrell-Davis Quantiles - Consumentenprijs King Size-sigarets (percielen) -...

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 09 Mar 2009 02:29:08 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Mar/09/t12365874171ew36s2rb3hxfsp.htm/, Retrieved Mon, 29 Apr 2024 01:06:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=38737, Retrieved Mon, 29 Apr 2024 01:06:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact157
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Harrell-Davis Qua...] [2009-03-09 08:29:08] [2f928979fcb5db36e984611041f4b2ce] [Current]
-    D    [Harrell-Davis Quantiles] [Harrell Davis per...] [2009-10-17 14:27:13] [74be16979710d4c4e7c6647856088456]
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Dataseries X:
2.98
2.98
2.98
3.03
3.07
3.08
3.08
3.08
3.08
3.08
3.08
3.08
3.08
3.08
3.12
3.15
3.15
3.15
3.15
3.16
3.19
3.2
3.2
3.2
3.21
3.21
3.21
3.21
3.21
3.28
3.3
3.3
3.3
3.3
3.3
3.3
3.3
3.45
3.49
3.5
3.54
3.64
3.67
3.67
3.68
3.68
3.68
3.68
3.7
3.83
3.87
3.87
3.87
3.87
3.87
3.87
3.87
3.87
3.87
3.88
3.88
3.88
3.88
3.88
3.88
3.89
3.89
3.91
3.95
3.99
3.99
3.99




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38737&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38737&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38737&T=0

As an alternative you can also use a 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'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.981640190659350.00559037203354955
0.022.98675825051970.0165897216746551
0.032.99632687632730.0286011821294737
0.043.009657901743680.0366445370289109
0.053.024799827063430.0384597915642089
0.063.039535793332540.0348483046413333
0.073.052224374353760.0281776530029958
0.083.062124625791960.0208442572457774
0.093.069280920452260.0144818919734616
0.13.074216492308470.0099103334321262
0.113.077639050143600.00748176600981621
0.123.080246283438700.00731576755583145
0.133.082631649727810.00903756796215293
0.143.085254980830880.0120199408170350
0.153.088442588612490.0157878412538577
0.163.092395841566810.0199456465899254
0.173.097201253119710.0240970067087177
0.183.102843195806960.0278746979348605
0.193.109222201083280.0309739806022451
0.23.116179709650940.0332176500066866
0.213.123526895440970.0345569545889819
0.223.131072954650940.0350774774464809
0.233.138648040112050.0349406076475973
0.243.146117688098160.0343497601936979
0.253.153388204799620.0334897752741361
0.263.160404901889180.0325114580609347
0.273.167146427031210.0315169886782711
0.283.17361842658890.0305873820233945
0.293.179848675319670.029802733468373
0.33.185884235651430.0292571157310671
0.313.191789842658720.0290637632237514
0.323.197646024229590.0293481743032815
0.333.203545607168860.0302010562661071
0.343.209588064172890.0316589981710751
0.353.215872255791280.0336759390942268
0.363.222489091790410.0361545555025721
0.373.229516130659450.0389588082538904
0.383.237015972142380.0419648295535473
0.393.245039492216770.0450964282629144
0.43.25363372172470.0483627988864393
0.413.262852803469670.0518713080938839
0.423.272769345576580.0558104634431255
0.433.283482939808990.0604317604618738
0.443.295122820373130.0659627056192829
0.453.307842607700140.0725688644940074
0.463.321806630441130.080255440373014
0.473.337169118231030.0888654485657719
0.483.354049211784460.098062922895714
0.493.372505879960980.107380102227691
0.53.392517216806490.116254356132438
0.513.413968135726540.124101518541913
0.523.43664927845720.130379745731939
0.533.460268246254820.134659761698265
0.543.484472345041870.136671033574997
0.553.508880224163590.136349615474396
0.563.533118340932750.133844706156469
0.573.556857288711700.129503294675885
0.583.579842800235970.123837455112572
0.593.601916732006600.117475901613457
0.63.623024541318710.111074548023826
0.613.643207603165260.105238280677831
0.623.662580999971130.100413027109524
0.633.681299854644710.0968174012557571
0.643.699519458754020.0943604393738173
0.653.717355910428370.092685608583599
0.663.734854307784730.0912332994846195
0.673.751970508488470.0893825463988757
0.683.768570120108040.0865675168158037
0.693.784445122069040.0823986462696044
0.73.799345015404090.0767135532609447
0.713.813016457782110.0696008658492013
0.723.825243685812280.0613739523955064
0.733.835882068520040.0525044921069677
0.743.844878853412490.043539788154681
0.753.852278102523680.0350071861524491
0.763.858210216041260.0273473024863751
0.773.862869482193370.0208518709210480
0.783.866485116594270.0156617940107284
0.793.869291931406690.0117603996268408
0.83.871506140673650.00901656177518128
0.813.873310193567960.00720993548389222
0.823.874848422401770.00607991704704603
0.833.876233212693470.00539741130379973
0.843.877559790739640.00502500828090412
0.853.878926872613580.00495287701177651
0.863.88046036646130.00529787469667302
0.873.882337688479050.0062500891193274
0.883.884810082586140.00802155302458402
0.893.888218152960070.0108186415254488
0.93.892990327001570.014802943978735
0.913.89960569009950.0199998582254679
0.923.908496422343710.0261084127099212
0.933.919872011974640.0322920105608325
0.943.93348253723940.0370573808824959
0.953.948408400455220.0384653507859438
0.963.963043361724600.0348713422388635
0.973.975447426689160.0261520690278819
0.983.984081032625240.0146960736903497
0.993.988585480344580.00483172420631952

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.98164019065935 & 0.00559037203354955 \tabularnewline
0.02 & 2.9867582505197 & 0.0165897216746551 \tabularnewline
0.03 & 2.9963268763273 & 0.0286011821294737 \tabularnewline
0.04 & 3.00965790174368 & 0.0366445370289109 \tabularnewline
0.05 & 3.02479982706343 & 0.0384597915642089 \tabularnewline
0.06 & 3.03953579333254 & 0.0348483046413333 \tabularnewline
0.07 & 3.05222437435376 & 0.0281776530029958 \tabularnewline
0.08 & 3.06212462579196 & 0.0208442572457774 \tabularnewline
0.09 & 3.06928092045226 & 0.0144818919734616 \tabularnewline
0.1 & 3.07421649230847 & 0.0099103334321262 \tabularnewline
0.11 & 3.07763905014360 & 0.00748176600981621 \tabularnewline
0.12 & 3.08024628343870 & 0.00731576755583145 \tabularnewline
0.13 & 3.08263164972781 & 0.00903756796215293 \tabularnewline
0.14 & 3.08525498083088 & 0.0120199408170350 \tabularnewline
0.15 & 3.08844258861249 & 0.0157878412538577 \tabularnewline
0.16 & 3.09239584156681 & 0.0199456465899254 \tabularnewline
0.17 & 3.09720125311971 & 0.0240970067087177 \tabularnewline
0.18 & 3.10284319580696 & 0.0278746979348605 \tabularnewline
0.19 & 3.10922220108328 & 0.0309739806022451 \tabularnewline
0.2 & 3.11617970965094 & 0.0332176500066866 \tabularnewline
0.21 & 3.12352689544097 & 0.0345569545889819 \tabularnewline
0.22 & 3.13107295465094 & 0.0350774774464809 \tabularnewline
0.23 & 3.13864804011205 & 0.0349406076475973 \tabularnewline
0.24 & 3.14611768809816 & 0.0343497601936979 \tabularnewline
0.25 & 3.15338820479962 & 0.0334897752741361 \tabularnewline
0.26 & 3.16040490188918 & 0.0325114580609347 \tabularnewline
0.27 & 3.16714642703121 & 0.0315169886782711 \tabularnewline
0.28 & 3.1736184265889 & 0.0305873820233945 \tabularnewline
0.29 & 3.17984867531967 & 0.029802733468373 \tabularnewline
0.3 & 3.18588423565143 & 0.0292571157310671 \tabularnewline
0.31 & 3.19178984265872 & 0.0290637632237514 \tabularnewline
0.32 & 3.19764602422959 & 0.0293481743032815 \tabularnewline
0.33 & 3.20354560716886 & 0.0302010562661071 \tabularnewline
0.34 & 3.20958806417289 & 0.0316589981710751 \tabularnewline
0.35 & 3.21587225579128 & 0.0336759390942268 \tabularnewline
0.36 & 3.22248909179041 & 0.0361545555025721 \tabularnewline
0.37 & 3.22951613065945 & 0.0389588082538904 \tabularnewline
0.38 & 3.23701597214238 & 0.0419648295535473 \tabularnewline
0.39 & 3.24503949221677 & 0.0450964282629144 \tabularnewline
0.4 & 3.2536337217247 & 0.0483627988864393 \tabularnewline
0.41 & 3.26285280346967 & 0.0518713080938839 \tabularnewline
0.42 & 3.27276934557658 & 0.0558104634431255 \tabularnewline
0.43 & 3.28348293980899 & 0.0604317604618738 \tabularnewline
0.44 & 3.29512282037313 & 0.0659627056192829 \tabularnewline
0.45 & 3.30784260770014 & 0.0725688644940074 \tabularnewline
0.46 & 3.32180663044113 & 0.080255440373014 \tabularnewline
0.47 & 3.33716911823103 & 0.0888654485657719 \tabularnewline
0.48 & 3.35404921178446 & 0.098062922895714 \tabularnewline
0.49 & 3.37250587996098 & 0.107380102227691 \tabularnewline
0.5 & 3.39251721680649 & 0.116254356132438 \tabularnewline
0.51 & 3.41396813572654 & 0.124101518541913 \tabularnewline
0.52 & 3.4366492784572 & 0.130379745731939 \tabularnewline
0.53 & 3.46026824625482 & 0.134659761698265 \tabularnewline
0.54 & 3.48447234504187 & 0.136671033574997 \tabularnewline
0.55 & 3.50888022416359 & 0.136349615474396 \tabularnewline
0.56 & 3.53311834093275 & 0.133844706156469 \tabularnewline
0.57 & 3.55685728871170 & 0.129503294675885 \tabularnewline
0.58 & 3.57984280023597 & 0.123837455112572 \tabularnewline
0.59 & 3.60191673200660 & 0.117475901613457 \tabularnewline
0.6 & 3.62302454131871 & 0.111074548023826 \tabularnewline
0.61 & 3.64320760316526 & 0.105238280677831 \tabularnewline
0.62 & 3.66258099997113 & 0.100413027109524 \tabularnewline
0.63 & 3.68129985464471 & 0.0968174012557571 \tabularnewline
0.64 & 3.69951945875402 & 0.0943604393738173 \tabularnewline
0.65 & 3.71735591042837 & 0.092685608583599 \tabularnewline
0.66 & 3.73485430778473 & 0.0912332994846195 \tabularnewline
0.67 & 3.75197050848847 & 0.0893825463988757 \tabularnewline
0.68 & 3.76857012010804 & 0.0865675168158037 \tabularnewline
0.69 & 3.78444512206904 & 0.0823986462696044 \tabularnewline
0.7 & 3.79934501540409 & 0.0767135532609447 \tabularnewline
0.71 & 3.81301645778211 & 0.0696008658492013 \tabularnewline
0.72 & 3.82524368581228 & 0.0613739523955064 \tabularnewline
0.73 & 3.83588206852004 & 0.0525044921069677 \tabularnewline
0.74 & 3.84487885341249 & 0.043539788154681 \tabularnewline
0.75 & 3.85227810252368 & 0.0350071861524491 \tabularnewline
0.76 & 3.85821021604126 & 0.0273473024863751 \tabularnewline
0.77 & 3.86286948219337 & 0.0208518709210480 \tabularnewline
0.78 & 3.86648511659427 & 0.0156617940107284 \tabularnewline
0.79 & 3.86929193140669 & 0.0117603996268408 \tabularnewline
0.8 & 3.87150614067365 & 0.00901656177518128 \tabularnewline
0.81 & 3.87331019356796 & 0.00720993548389222 \tabularnewline
0.82 & 3.87484842240177 & 0.00607991704704603 \tabularnewline
0.83 & 3.87623321269347 & 0.00539741130379973 \tabularnewline
0.84 & 3.87755979073964 & 0.00502500828090412 \tabularnewline
0.85 & 3.87892687261358 & 0.00495287701177651 \tabularnewline
0.86 & 3.8804603664613 & 0.00529787469667302 \tabularnewline
0.87 & 3.88233768847905 & 0.0062500891193274 \tabularnewline
0.88 & 3.88481008258614 & 0.00802155302458402 \tabularnewline
0.89 & 3.88821815296007 & 0.0108186415254488 \tabularnewline
0.9 & 3.89299032700157 & 0.014802943978735 \tabularnewline
0.91 & 3.8996056900995 & 0.0199998582254679 \tabularnewline
0.92 & 3.90849642234371 & 0.0261084127099212 \tabularnewline
0.93 & 3.91987201197464 & 0.0322920105608325 \tabularnewline
0.94 & 3.9334825372394 & 0.0370573808824959 \tabularnewline
0.95 & 3.94840840045522 & 0.0384653507859438 \tabularnewline
0.96 & 3.96304336172460 & 0.0348713422388635 \tabularnewline
0.97 & 3.97544742668916 & 0.0261520690278819 \tabularnewline
0.98 & 3.98408103262524 & 0.0146960736903497 \tabularnewline
0.99 & 3.98858548034458 & 0.00483172420631952 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=38737&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]2.98164019065935[/C][C]0.00559037203354955[/C][/ROW]
[ROW][C]0.02[/C][C]2.9867582505197[/C][C]0.0165897216746551[/C][/ROW]
[ROW][C]0.03[/C][C]2.9963268763273[/C][C]0.0286011821294737[/C][/ROW]
[ROW][C]0.04[/C][C]3.00965790174368[/C][C]0.0366445370289109[/C][/ROW]
[ROW][C]0.05[/C][C]3.02479982706343[/C][C]0.0384597915642089[/C][/ROW]
[ROW][C]0.06[/C][C]3.03953579333254[/C][C]0.0348483046413333[/C][/ROW]
[ROW][C]0.07[/C][C]3.05222437435376[/C][C]0.0281776530029958[/C][/ROW]
[ROW][C]0.08[/C][C]3.06212462579196[/C][C]0.0208442572457774[/C][/ROW]
[ROW][C]0.09[/C][C]3.06928092045226[/C][C]0.0144818919734616[/C][/ROW]
[ROW][C]0.1[/C][C]3.07421649230847[/C][C]0.0099103334321262[/C][/ROW]
[ROW][C]0.11[/C][C]3.07763905014360[/C][C]0.00748176600981621[/C][/ROW]
[ROW][C]0.12[/C][C]3.08024628343870[/C][C]0.00731576755583145[/C][/ROW]
[ROW][C]0.13[/C][C]3.08263164972781[/C][C]0.00903756796215293[/C][/ROW]
[ROW][C]0.14[/C][C]3.08525498083088[/C][C]0.0120199408170350[/C][/ROW]
[ROW][C]0.15[/C][C]3.08844258861249[/C][C]0.0157878412538577[/C][/ROW]
[ROW][C]0.16[/C][C]3.09239584156681[/C][C]0.0199456465899254[/C][/ROW]
[ROW][C]0.17[/C][C]3.09720125311971[/C][C]0.0240970067087177[/C][/ROW]
[ROW][C]0.18[/C][C]3.10284319580696[/C][C]0.0278746979348605[/C][/ROW]
[ROW][C]0.19[/C][C]3.10922220108328[/C][C]0.0309739806022451[/C][/ROW]
[ROW][C]0.2[/C][C]3.11617970965094[/C][C]0.0332176500066866[/C][/ROW]
[ROW][C]0.21[/C][C]3.12352689544097[/C][C]0.0345569545889819[/C][/ROW]
[ROW][C]0.22[/C][C]3.13107295465094[/C][C]0.0350774774464809[/C][/ROW]
[ROW][C]0.23[/C][C]3.13864804011205[/C][C]0.0349406076475973[/C][/ROW]
[ROW][C]0.24[/C][C]3.14611768809816[/C][C]0.0343497601936979[/C][/ROW]
[ROW][C]0.25[/C][C]3.15338820479962[/C][C]0.0334897752741361[/C][/ROW]
[ROW][C]0.26[/C][C]3.16040490188918[/C][C]0.0325114580609347[/C][/ROW]
[ROW][C]0.27[/C][C]3.16714642703121[/C][C]0.0315169886782711[/C][/ROW]
[ROW][C]0.28[/C][C]3.1736184265889[/C][C]0.0305873820233945[/C][/ROW]
[ROW][C]0.29[/C][C]3.17984867531967[/C][C]0.029802733468373[/C][/ROW]
[ROW][C]0.3[/C][C]3.18588423565143[/C][C]0.0292571157310671[/C][/ROW]
[ROW][C]0.31[/C][C]3.19178984265872[/C][C]0.0290637632237514[/C][/ROW]
[ROW][C]0.32[/C][C]3.19764602422959[/C][C]0.0293481743032815[/C][/ROW]
[ROW][C]0.33[/C][C]3.20354560716886[/C][C]0.0302010562661071[/C][/ROW]
[ROW][C]0.34[/C][C]3.20958806417289[/C][C]0.0316589981710751[/C][/ROW]
[ROW][C]0.35[/C][C]3.21587225579128[/C][C]0.0336759390942268[/C][/ROW]
[ROW][C]0.36[/C][C]3.22248909179041[/C][C]0.0361545555025721[/C][/ROW]
[ROW][C]0.37[/C][C]3.22951613065945[/C][C]0.0389588082538904[/C][/ROW]
[ROW][C]0.38[/C][C]3.23701597214238[/C][C]0.0419648295535473[/C][/ROW]
[ROW][C]0.39[/C][C]3.24503949221677[/C][C]0.0450964282629144[/C][/ROW]
[ROW][C]0.4[/C][C]3.2536337217247[/C][C]0.0483627988864393[/C][/ROW]
[ROW][C]0.41[/C][C]3.26285280346967[/C][C]0.0518713080938839[/C][/ROW]
[ROW][C]0.42[/C][C]3.27276934557658[/C][C]0.0558104634431255[/C][/ROW]
[ROW][C]0.43[/C][C]3.28348293980899[/C][C]0.0604317604618738[/C][/ROW]
[ROW][C]0.44[/C][C]3.29512282037313[/C][C]0.0659627056192829[/C][/ROW]
[ROW][C]0.45[/C][C]3.30784260770014[/C][C]0.0725688644940074[/C][/ROW]
[ROW][C]0.46[/C][C]3.32180663044113[/C][C]0.080255440373014[/C][/ROW]
[ROW][C]0.47[/C][C]3.33716911823103[/C][C]0.0888654485657719[/C][/ROW]
[ROW][C]0.48[/C][C]3.35404921178446[/C][C]0.098062922895714[/C][/ROW]
[ROW][C]0.49[/C][C]3.37250587996098[/C][C]0.107380102227691[/C][/ROW]
[ROW][C]0.5[/C][C]3.39251721680649[/C][C]0.116254356132438[/C][/ROW]
[ROW][C]0.51[/C][C]3.41396813572654[/C][C]0.124101518541913[/C][/ROW]
[ROW][C]0.52[/C][C]3.4366492784572[/C][C]0.130379745731939[/C][/ROW]
[ROW][C]0.53[/C][C]3.46026824625482[/C][C]0.134659761698265[/C][/ROW]
[ROW][C]0.54[/C][C]3.48447234504187[/C][C]0.136671033574997[/C][/ROW]
[ROW][C]0.55[/C][C]3.50888022416359[/C][C]0.136349615474396[/C][/ROW]
[ROW][C]0.56[/C][C]3.53311834093275[/C][C]0.133844706156469[/C][/ROW]
[ROW][C]0.57[/C][C]3.55685728871170[/C][C]0.129503294675885[/C][/ROW]
[ROW][C]0.58[/C][C]3.57984280023597[/C][C]0.123837455112572[/C][/ROW]
[ROW][C]0.59[/C][C]3.60191673200660[/C][C]0.117475901613457[/C][/ROW]
[ROW][C]0.6[/C][C]3.62302454131871[/C][C]0.111074548023826[/C][/ROW]
[ROW][C]0.61[/C][C]3.64320760316526[/C][C]0.105238280677831[/C][/ROW]
[ROW][C]0.62[/C][C]3.66258099997113[/C][C]0.100413027109524[/C][/ROW]
[ROW][C]0.63[/C][C]3.68129985464471[/C][C]0.0968174012557571[/C][/ROW]
[ROW][C]0.64[/C][C]3.69951945875402[/C][C]0.0943604393738173[/C][/ROW]
[ROW][C]0.65[/C][C]3.71735591042837[/C][C]0.092685608583599[/C][/ROW]
[ROW][C]0.66[/C][C]3.73485430778473[/C][C]0.0912332994846195[/C][/ROW]
[ROW][C]0.67[/C][C]3.75197050848847[/C][C]0.0893825463988757[/C][/ROW]
[ROW][C]0.68[/C][C]3.76857012010804[/C][C]0.0865675168158037[/C][/ROW]
[ROW][C]0.69[/C][C]3.78444512206904[/C][C]0.0823986462696044[/C][/ROW]
[ROW][C]0.7[/C][C]3.79934501540409[/C][C]0.0767135532609447[/C][/ROW]
[ROW][C]0.71[/C][C]3.81301645778211[/C][C]0.0696008658492013[/C][/ROW]
[ROW][C]0.72[/C][C]3.82524368581228[/C][C]0.0613739523955064[/C][/ROW]
[ROW][C]0.73[/C][C]3.83588206852004[/C][C]0.0525044921069677[/C][/ROW]
[ROW][C]0.74[/C][C]3.84487885341249[/C][C]0.043539788154681[/C][/ROW]
[ROW][C]0.75[/C][C]3.85227810252368[/C][C]0.0350071861524491[/C][/ROW]
[ROW][C]0.76[/C][C]3.85821021604126[/C][C]0.0273473024863751[/C][/ROW]
[ROW][C]0.77[/C][C]3.86286948219337[/C][C]0.0208518709210480[/C][/ROW]
[ROW][C]0.78[/C][C]3.86648511659427[/C][C]0.0156617940107284[/C][/ROW]
[ROW][C]0.79[/C][C]3.86929193140669[/C][C]0.0117603996268408[/C][/ROW]
[ROW][C]0.8[/C][C]3.87150614067365[/C][C]0.00901656177518128[/C][/ROW]
[ROW][C]0.81[/C][C]3.87331019356796[/C][C]0.00720993548389222[/C][/ROW]
[ROW][C]0.82[/C][C]3.87484842240177[/C][C]0.00607991704704603[/C][/ROW]
[ROW][C]0.83[/C][C]3.87623321269347[/C][C]0.00539741130379973[/C][/ROW]
[ROW][C]0.84[/C][C]3.87755979073964[/C][C]0.00502500828090412[/C][/ROW]
[ROW][C]0.85[/C][C]3.87892687261358[/C][C]0.00495287701177651[/C][/ROW]
[ROW][C]0.86[/C][C]3.8804603664613[/C][C]0.00529787469667302[/C][/ROW]
[ROW][C]0.87[/C][C]3.88233768847905[/C][C]0.0062500891193274[/C][/ROW]
[ROW][C]0.88[/C][C]3.88481008258614[/C][C]0.00802155302458402[/C][/ROW]
[ROW][C]0.89[/C][C]3.88821815296007[/C][C]0.0108186415254488[/C][/ROW]
[ROW][C]0.9[/C][C]3.89299032700157[/C][C]0.014802943978735[/C][/ROW]
[ROW][C]0.91[/C][C]3.8996056900995[/C][C]0.0199998582254679[/C][/ROW]
[ROW][C]0.92[/C][C]3.90849642234371[/C][C]0.0261084127099212[/C][/ROW]
[ROW][C]0.93[/C][C]3.91987201197464[/C][C]0.0322920105608325[/C][/ROW]
[ROW][C]0.94[/C][C]3.9334825372394[/C][C]0.0370573808824959[/C][/ROW]
[ROW][C]0.95[/C][C]3.94840840045522[/C][C]0.0384653507859438[/C][/ROW]
[ROW][C]0.96[/C][C]3.96304336172460[/C][C]0.0348713422388635[/C][/ROW]
[ROW][C]0.97[/C][C]3.97544742668916[/C][C]0.0261520690278819[/C][/ROW]
[ROW][C]0.98[/C][C]3.98408103262524[/C][C]0.0146960736903497[/C][/ROW]
[ROW][C]0.99[/C][C]3.98858548034458[/C][C]0.00483172420631952[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=38737&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=38737&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.981640190659350.00559037203354955
0.022.98675825051970.0165897216746551
0.032.99632687632730.0286011821294737
0.043.009657901743680.0366445370289109
0.053.024799827063430.0384597915642089
0.063.039535793332540.0348483046413333
0.073.052224374353760.0281776530029958
0.083.062124625791960.0208442572457774
0.093.069280920452260.0144818919734616
0.13.074216492308470.0099103334321262
0.113.077639050143600.00748176600981621
0.123.080246283438700.00731576755583145
0.133.082631649727810.00903756796215293
0.143.085254980830880.0120199408170350
0.153.088442588612490.0157878412538577
0.163.092395841566810.0199456465899254
0.173.097201253119710.0240970067087177
0.183.102843195806960.0278746979348605
0.193.109222201083280.0309739806022451
0.23.116179709650940.0332176500066866
0.213.123526895440970.0345569545889819
0.223.131072954650940.0350774774464809
0.233.138648040112050.0349406076475973
0.243.146117688098160.0343497601936979
0.253.153388204799620.0334897752741361
0.263.160404901889180.0325114580609347
0.273.167146427031210.0315169886782711
0.283.17361842658890.0305873820233945
0.293.179848675319670.029802733468373
0.33.185884235651430.0292571157310671
0.313.191789842658720.0290637632237514
0.323.197646024229590.0293481743032815
0.333.203545607168860.0302010562661071
0.343.209588064172890.0316589981710751
0.353.215872255791280.0336759390942268
0.363.222489091790410.0361545555025721
0.373.229516130659450.0389588082538904
0.383.237015972142380.0419648295535473
0.393.245039492216770.0450964282629144
0.43.25363372172470.0483627988864393
0.413.262852803469670.0518713080938839
0.423.272769345576580.0558104634431255
0.433.283482939808990.0604317604618738
0.443.295122820373130.0659627056192829
0.453.307842607700140.0725688644940074
0.463.321806630441130.080255440373014
0.473.337169118231030.0888654485657719
0.483.354049211784460.098062922895714
0.493.372505879960980.107380102227691
0.53.392517216806490.116254356132438
0.513.413968135726540.124101518541913
0.523.43664927845720.130379745731939
0.533.460268246254820.134659761698265
0.543.484472345041870.136671033574997
0.553.508880224163590.136349615474396
0.563.533118340932750.133844706156469
0.573.556857288711700.129503294675885
0.583.579842800235970.123837455112572
0.593.601916732006600.117475901613457
0.63.623024541318710.111074548023826
0.613.643207603165260.105238280677831
0.623.662580999971130.100413027109524
0.633.681299854644710.0968174012557571
0.643.699519458754020.0943604393738173
0.653.717355910428370.092685608583599
0.663.734854307784730.0912332994846195
0.673.751970508488470.0893825463988757
0.683.768570120108040.0865675168158037
0.693.784445122069040.0823986462696044
0.73.799345015404090.0767135532609447
0.713.813016457782110.0696008658492013
0.723.825243685812280.0613739523955064
0.733.835882068520040.0525044921069677
0.743.844878853412490.043539788154681
0.753.852278102523680.0350071861524491
0.763.858210216041260.0273473024863751
0.773.862869482193370.0208518709210480
0.783.866485116594270.0156617940107284
0.793.869291931406690.0117603996268408
0.83.871506140673650.00901656177518128
0.813.873310193567960.00720993548389222
0.823.874848422401770.00607991704704603
0.833.876233212693470.00539741130379973
0.843.877559790739640.00502500828090412
0.853.878926872613580.00495287701177651
0.863.88046036646130.00529787469667302
0.873.882337688479050.0062500891193274
0.883.884810082586140.00802155302458402
0.893.888218152960070.0108186415254488
0.93.892990327001570.014802943978735
0.913.89960569009950.0199998582254679
0.923.908496422343710.0261084127099212
0.933.919872011974640.0322920105608325
0.943.93348253723940.0370573808824959
0.953.948408400455220.0384653507859438
0.963.963043361724600.0348713422388635
0.973.975447426689160.0261520690278819
0.983.984081032625240.0146960736903497
0.993.988585480344580.00483172420631952



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')