Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 06 Mar 2010 04:30:49 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Mar/06/t1267875176k4to7nq41d1125z.htm/, Retrieved Tue, 27 Sep 2022 08:24:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74030, Retrieved Tue, 27 Sep 2022 08:24:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact175
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Consumentenvertro...] [2010-03-06 11:30:49] [181f2439255053cc457d7672472fa443] [Current]
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Dataseries X:
-15
-15
-10
-12
-11
-11
-17
-18
-19
-22
-24
-24
-20
-25
-22
-17
-9
-11
-13
-11
-9
-7
-3
-3
-6
-4
-8
-1
-2
-2
-1
1
2
2
-1
1
-1
-8
1
2
-2
-2
-2
-2
-6
-4
-5
-2
-1
-5
-9
-8
-14
-10
-11
-11
-11
-5
-2
-3
-6
-6
-7
-6
-2
-2
-4
0
-6
-4
-3
-1
-3




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=74030&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=74030&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74030&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
0.01-24.68736758387790.870556737731882
0.02-24.18981601427040.918657356494041
0.03-23.60267698336281.19248673039058
0.04-22.95389501358241.51398299851771
0.05-22.24965857621191.77974988973890
0.06-21.50442183351961.97363106222087
0.07-20.73971249339642.10371714176913
0.08-19.97578346128692.17915144509092
0.09-19.22741086364122.2123441034969
0.1-18.50330892090552.22049042385452
0.11-17.80695971503172.22050834926567
0.12-17.13806951487072.22275919319231
0.13-16.49444479641452.22845302725061
0.14-15.87391151484912.23122260280099
0.15-15.27578973058282.22079484017481
0.16-14.70160408968702.18669411663122
0.17-14.15498792093292.12110938451398
0.18-13.64095129919942.02064780051319
0.19-13.16478272158691.88717036458585
0.2-12.73086814511931.72778998927724
0.21-12.34167695785371.55386045752610
0.22-11.99710147373931.37938784372425
0.23-11.69425290669811.21909011906470
0.24-11.42772218615661.08639146077944
0.25-11.19022457242000.991485464906793
0.26-10.97348128750530.93931936520183
0.27-10.76916260986870.928397687856833
0.28-10.56972810396800.951418049721115
0.29-10.36904321725950.997927683327225
0.3-10.16271268703421.05725526727629
0.31-9.948133567979061.12030449103801
0.32-9.724320535319941.18021006089487
0.33-9.491585284630111.23241620681790
0.34-9.251158375973771.27439978767738
0.35-9.004829062961151.30514503097496
0.36-8.754653260014591.32462731440791
0.37-8.50274993698891.33329065648003
0.38-8.251179421329421.33164579196818
0.39-8.001878843299561.32015765023219
0.4-7.756622942621631.29930361786085
0.41-7.516982333650071.26976711013625
0.42-7.284263243042691.23270630090767
0.43-7.059428242536041.18994244970455
0.44-6.84301175681971.14403659638508
0.45-6.635053082994971.09814375675924
0.46-6.435070991906581.05569423027285
0.47-6.242097571960521.01987852276794
0.48-6.054776808280380.993147845932537
0.49-5.87151892280860.97667968284775
0.5-5.690688667655170.970157992867244
0.51-5.510797887682290.971857497338852
0.52-5.330671596971640.979035146922603
0.53-5.149562517398390.9884813333724
0.54-4.96719975283220.997074260470622
0.55-4.78377017469941.00220324966882
0.56-4.599843116357001.00203727936435
0.57-4.416257675848180.99558836635797
0.58-4.233996014759410.982674679233778
0.59-4.054065459695330.963757073851892
0.6-3.877407849209180.939712383510472
0.61-3.704847748290620.911573278773729
0.62-3.537083170661880.880306169913082
0.63-3.374714333036720.846610485547328
0.64-3.218298516973250.810775054317224
0.65-3.068413131497560.772645510272702
0.66-2.92570553782870.73169660513235
0.67-2.790908245942060.687255488419096
0.68-2.664802658262540.638799224859332
0.69-2.548123847724120.58632349893237
0.7-2.441412002087160.530649853686558
0.71-2.344830986264540.473608924588443
0.72-2.257987901049540.418065689739835
0.73-2.179796212017870.367795376082873
0.74-2.108426053505080.32720571159337
0.75-2.041376627964050.300782127004494
0.76-1.975686329820510.291875956014578
0.77-1.908266941357710.300952449925147
0.78-1.836311833398950.324743722960625
0.79-1.757690781117650.357256359553759
0.8-1.67121628435520.391607506679139
0.81-1.576662484954110.42164645983486
0.82-1.474452920832540.443417013595435
0.83-1.365016804477500.456594716260282
0.84-1.247940086857980.465609180699951
0.85-1.121178676852780.479706989840173
0.86-0.980700525182820.510577167443705
0.87-0.8209041813334070.566575046802346
0.88-0.6359547426408220.646292714201165
0.89-0.4217762453230450.73663799218425
0.9-0.1779656342655390.816621467439552
0.910.09136180582821780.864778820691665
0.920.3784502915331050.86820002629419
0.930.6740746507244320.82943781578846
0.940.969231340846510.764755757836202
0.951.254285165550470.6883048066624
0.961.515615573582580.591806647872853
0.971.733737677698380.45091350497512
0.981.888621660950420.266569558386619
0.991.972544360909000.0929458362138855

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -24.6873675838779 & 0.870556737731882 \tabularnewline
0.02 & -24.1898160142704 & 0.918657356494041 \tabularnewline
0.03 & -23.6026769833628 & 1.19248673039058 \tabularnewline
0.04 & -22.9538950135824 & 1.51398299851771 \tabularnewline
0.05 & -22.2496585762119 & 1.77974988973890 \tabularnewline
0.06 & -21.5044218335196 & 1.97363106222087 \tabularnewline
0.07 & -20.7397124933964 & 2.10371714176913 \tabularnewline
0.08 & -19.9757834612869 & 2.17915144509092 \tabularnewline
0.09 & -19.2274108636412 & 2.2123441034969 \tabularnewline
0.1 & -18.5033089209055 & 2.22049042385452 \tabularnewline
0.11 & -17.8069597150317 & 2.22050834926567 \tabularnewline
0.12 & -17.1380695148707 & 2.22275919319231 \tabularnewline
0.13 & -16.4944447964145 & 2.22845302725061 \tabularnewline
0.14 & -15.8739115148491 & 2.23122260280099 \tabularnewline
0.15 & -15.2757897305828 & 2.22079484017481 \tabularnewline
0.16 & -14.7016040896870 & 2.18669411663122 \tabularnewline
0.17 & -14.1549879209329 & 2.12110938451398 \tabularnewline
0.18 & -13.6409512991994 & 2.02064780051319 \tabularnewline
0.19 & -13.1647827215869 & 1.88717036458585 \tabularnewline
0.2 & -12.7308681451193 & 1.72778998927724 \tabularnewline
0.21 & -12.3416769578537 & 1.55386045752610 \tabularnewline
0.22 & -11.9971014737393 & 1.37938784372425 \tabularnewline
0.23 & -11.6942529066981 & 1.21909011906470 \tabularnewline
0.24 & -11.4277221861566 & 1.08639146077944 \tabularnewline
0.25 & -11.1902245724200 & 0.991485464906793 \tabularnewline
0.26 & -10.9734812875053 & 0.93931936520183 \tabularnewline
0.27 & -10.7691626098687 & 0.928397687856833 \tabularnewline
0.28 & -10.5697281039680 & 0.951418049721115 \tabularnewline
0.29 & -10.3690432172595 & 0.997927683327225 \tabularnewline
0.3 & -10.1627126870342 & 1.05725526727629 \tabularnewline
0.31 & -9.94813356797906 & 1.12030449103801 \tabularnewline
0.32 & -9.72432053531994 & 1.18021006089487 \tabularnewline
0.33 & -9.49158528463011 & 1.23241620681790 \tabularnewline
0.34 & -9.25115837597377 & 1.27439978767738 \tabularnewline
0.35 & -9.00482906296115 & 1.30514503097496 \tabularnewline
0.36 & -8.75465326001459 & 1.32462731440791 \tabularnewline
0.37 & -8.5027499369889 & 1.33329065648003 \tabularnewline
0.38 & -8.25117942132942 & 1.33164579196818 \tabularnewline
0.39 & -8.00187884329956 & 1.32015765023219 \tabularnewline
0.4 & -7.75662294262163 & 1.29930361786085 \tabularnewline
0.41 & -7.51698233365007 & 1.26976711013625 \tabularnewline
0.42 & -7.28426324304269 & 1.23270630090767 \tabularnewline
0.43 & -7.05942824253604 & 1.18994244970455 \tabularnewline
0.44 & -6.8430117568197 & 1.14403659638508 \tabularnewline
0.45 & -6.63505308299497 & 1.09814375675924 \tabularnewline
0.46 & -6.43507099190658 & 1.05569423027285 \tabularnewline
0.47 & -6.24209757196052 & 1.01987852276794 \tabularnewline
0.48 & -6.05477680828038 & 0.993147845932537 \tabularnewline
0.49 & -5.8715189228086 & 0.97667968284775 \tabularnewline
0.5 & -5.69068866765517 & 0.970157992867244 \tabularnewline
0.51 & -5.51079788768229 & 0.971857497338852 \tabularnewline
0.52 & -5.33067159697164 & 0.979035146922603 \tabularnewline
0.53 & -5.14956251739839 & 0.9884813333724 \tabularnewline
0.54 & -4.9671997528322 & 0.997074260470622 \tabularnewline
0.55 & -4.7837701746994 & 1.00220324966882 \tabularnewline
0.56 & -4.59984311635700 & 1.00203727936435 \tabularnewline
0.57 & -4.41625767584818 & 0.99558836635797 \tabularnewline
0.58 & -4.23399601475941 & 0.982674679233778 \tabularnewline
0.59 & -4.05406545969533 & 0.963757073851892 \tabularnewline
0.6 & -3.87740784920918 & 0.939712383510472 \tabularnewline
0.61 & -3.70484774829062 & 0.911573278773729 \tabularnewline
0.62 & -3.53708317066188 & 0.880306169913082 \tabularnewline
0.63 & -3.37471433303672 & 0.846610485547328 \tabularnewline
0.64 & -3.21829851697325 & 0.810775054317224 \tabularnewline
0.65 & -3.06841313149756 & 0.772645510272702 \tabularnewline
0.66 & -2.9257055378287 & 0.73169660513235 \tabularnewline
0.67 & -2.79090824594206 & 0.687255488419096 \tabularnewline
0.68 & -2.66480265826254 & 0.638799224859332 \tabularnewline
0.69 & -2.54812384772412 & 0.58632349893237 \tabularnewline
0.7 & -2.44141200208716 & 0.530649853686558 \tabularnewline
0.71 & -2.34483098626454 & 0.473608924588443 \tabularnewline
0.72 & -2.25798790104954 & 0.418065689739835 \tabularnewline
0.73 & -2.17979621201787 & 0.367795376082873 \tabularnewline
0.74 & -2.10842605350508 & 0.32720571159337 \tabularnewline
0.75 & -2.04137662796405 & 0.300782127004494 \tabularnewline
0.76 & -1.97568632982051 & 0.291875956014578 \tabularnewline
0.77 & -1.90826694135771 & 0.300952449925147 \tabularnewline
0.78 & -1.83631183339895 & 0.324743722960625 \tabularnewline
0.79 & -1.75769078111765 & 0.357256359553759 \tabularnewline
0.8 & -1.6712162843552 & 0.391607506679139 \tabularnewline
0.81 & -1.57666248495411 & 0.42164645983486 \tabularnewline
0.82 & -1.47445292083254 & 0.443417013595435 \tabularnewline
0.83 & -1.36501680447750 & 0.456594716260282 \tabularnewline
0.84 & -1.24794008685798 & 0.465609180699951 \tabularnewline
0.85 & -1.12117867685278 & 0.479706989840173 \tabularnewline
0.86 & -0.98070052518282 & 0.510577167443705 \tabularnewline
0.87 & -0.820904181333407 & 0.566575046802346 \tabularnewline
0.88 & -0.635954742640822 & 0.646292714201165 \tabularnewline
0.89 & -0.421776245323045 & 0.73663799218425 \tabularnewline
0.9 & -0.177965634265539 & 0.816621467439552 \tabularnewline
0.91 & 0.0913618058282178 & 0.864778820691665 \tabularnewline
0.92 & 0.378450291533105 & 0.86820002629419 \tabularnewline
0.93 & 0.674074650724432 & 0.82943781578846 \tabularnewline
0.94 & 0.96923134084651 & 0.764755757836202 \tabularnewline
0.95 & 1.25428516555047 & 0.6883048066624 \tabularnewline
0.96 & 1.51561557358258 & 0.591806647872853 \tabularnewline
0.97 & 1.73373767769838 & 0.45091350497512 \tabularnewline
0.98 & 1.88862166095042 & 0.266569558386619 \tabularnewline
0.99 & 1.97254436090900 & 0.0929458362138855 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74030&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]-24.6873675838779[/C][C]0.870556737731882[/C][/ROW]
[ROW][C]0.02[/C][C]-24.1898160142704[/C][C]0.918657356494041[/C][/ROW]
[ROW][C]0.03[/C][C]-23.6026769833628[/C][C]1.19248673039058[/C][/ROW]
[ROW][C]0.04[/C][C]-22.9538950135824[/C][C]1.51398299851771[/C][/ROW]
[ROW][C]0.05[/C][C]-22.2496585762119[/C][C]1.77974988973890[/C][/ROW]
[ROW][C]0.06[/C][C]-21.5044218335196[/C][C]1.97363106222087[/C][/ROW]
[ROW][C]0.07[/C][C]-20.7397124933964[/C][C]2.10371714176913[/C][/ROW]
[ROW][C]0.08[/C][C]-19.9757834612869[/C][C]2.17915144509092[/C][/ROW]
[ROW][C]0.09[/C][C]-19.2274108636412[/C][C]2.2123441034969[/C][/ROW]
[ROW][C]0.1[/C][C]-18.5033089209055[/C][C]2.22049042385452[/C][/ROW]
[ROW][C]0.11[/C][C]-17.8069597150317[/C][C]2.22050834926567[/C][/ROW]
[ROW][C]0.12[/C][C]-17.1380695148707[/C][C]2.22275919319231[/C][/ROW]
[ROW][C]0.13[/C][C]-16.4944447964145[/C][C]2.22845302725061[/C][/ROW]
[ROW][C]0.14[/C][C]-15.8739115148491[/C][C]2.23122260280099[/C][/ROW]
[ROW][C]0.15[/C][C]-15.2757897305828[/C][C]2.22079484017481[/C][/ROW]
[ROW][C]0.16[/C][C]-14.7016040896870[/C][C]2.18669411663122[/C][/ROW]
[ROW][C]0.17[/C][C]-14.1549879209329[/C][C]2.12110938451398[/C][/ROW]
[ROW][C]0.18[/C][C]-13.6409512991994[/C][C]2.02064780051319[/C][/ROW]
[ROW][C]0.19[/C][C]-13.1647827215869[/C][C]1.88717036458585[/C][/ROW]
[ROW][C]0.2[/C][C]-12.7308681451193[/C][C]1.72778998927724[/C][/ROW]
[ROW][C]0.21[/C][C]-12.3416769578537[/C][C]1.55386045752610[/C][/ROW]
[ROW][C]0.22[/C][C]-11.9971014737393[/C][C]1.37938784372425[/C][/ROW]
[ROW][C]0.23[/C][C]-11.6942529066981[/C][C]1.21909011906470[/C][/ROW]
[ROW][C]0.24[/C][C]-11.4277221861566[/C][C]1.08639146077944[/C][/ROW]
[ROW][C]0.25[/C][C]-11.1902245724200[/C][C]0.991485464906793[/C][/ROW]
[ROW][C]0.26[/C][C]-10.9734812875053[/C][C]0.93931936520183[/C][/ROW]
[ROW][C]0.27[/C][C]-10.7691626098687[/C][C]0.928397687856833[/C][/ROW]
[ROW][C]0.28[/C][C]-10.5697281039680[/C][C]0.951418049721115[/C][/ROW]
[ROW][C]0.29[/C][C]-10.3690432172595[/C][C]0.997927683327225[/C][/ROW]
[ROW][C]0.3[/C][C]-10.1627126870342[/C][C]1.05725526727629[/C][/ROW]
[ROW][C]0.31[/C][C]-9.94813356797906[/C][C]1.12030449103801[/C][/ROW]
[ROW][C]0.32[/C][C]-9.72432053531994[/C][C]1.18021006089487[/C][/ROW]
[ROW][C]0.33[/C][C]-9.49158528463011[/C][C]1.23241620681790[/C][/ROW]
[ROW][C]0.34[/C][C]-9.25115837597377[/C][C]1.27439978767738[/C][/ROW]
[ROW][C]0.35[/C][C]-9.00482906296115[/C][C]1.30514503097496[/C][/ROW]
[ROW][C]0.36[/C][C]-8.75465326001459[/C][C]1.32462731440791[/C][/ROW]
[ROW][C]0.37[/C][C]-8.5027499369889[/C][C]1.33329065648003[/C][/ROW]
[ROW][C]0.38[/C][C]-8.25117942132942[/C][C]1.33164579196818[/C][/ROW]
[ROW][C]0.39[/C][C]-8.00187884329956[/C][C]1.32015765023219[/C][/ROW]
[ROW][C]0.4[/C][C]-7.75662294262163[/C][C]1.29930361786085[/C][/ROW]
[ROW][C]0.41[/C][C]-7.51698233365007[/C][C]1.26976711013625[/C][/ROW]
[ROW][C]0.42[/C][C]-7.28426324304269[/C][C]1.23270630090767[/C][/ROW]
[ROW][C]0.43[/C][C]-7.05942824253604[/C][C]1.18994244970455[/C][/ROW]
[ROW][C]0.44[/C][C]-6.8430117568197[/C][C]1.14403659638508[/C][/ROW]
[ROW][C]0.45[/C][C]-6.63505308299497[/C][C]1.09814375675924[/C][/ROW]
[ROW][C]0.46[/C][C]-6.43507099190658[/C][C]1.05569423027285[/C][/ROW]
[ROW][C]0.47[/C][C]-6.24209757196052[/C][C]1.01987852276794[/C][/ROW]
[ROW][C]0.48[/C][C]-6.05477680828038[/C][C]0.993147845932537[/C][/ROW]
[ROW][C]0.49[/C][C]-5.8715189228086[/C][C]0.97667968284775[/C][/ROW]
[ROW][C]0.5[/C][C]-5.69068866765517[/C][C]0.970157992867244[/C][/ROW]
[ROW][C]0.51[/C][C]-5.51079788768229[/C][C]0.971857497338852[/C][/ROW]
[ROW][C]0.52[/C][C]-5.33067159697164[/C][C]0.979035146922603[/C][/ROW]
[ROW][C]0.53[/C][C]-5.14956251739839[/C][C]0.9884813333724[/C][/ROW]
[ROW][C]0.54[/C][C]-4.9671997528322[/C][C]0.997074260470622[/C][/ROW]
[ROW][C]0.55[/C][C]-4.7837701746994[/C][C]1.00220324966882[/C][/ROW]
[ROW][C]0.56[/C][C]-4.59984311635700[/C][C]1.00203727936435[/C][/ROW]
[ROW][C]0.57[/C][C]-4.41625767584818[/C][C]0.99558836635797[/C][/ROW]
[ROW][C]0.58[/C][C]-4.23399601475941[/C][C]0.982674679233778[/C][/ROW]
[ROW][C]0.59[/C][C]-4.05406545969533[/C][C]0.963757073851892[/C][/ROW]
[ROW][C]0.6[/C][C]-3.87740784920918[/C][C]0.939712383510472[/C][/ROW]
[ROW][C]0.61[/C][C]-3.70484774829062[/C][C]0.911573278773729[/C][/ROW]
[ROW][C]0.62[/C][C]-3.53708317066188[/C][C]0.880306169913082[/C][/ROW]
[ROW][C]0.63[/C][C]-3.37471433303672[/C][C]0.846610485547328[/C][/ROW]
[ROW][C]0.64[/C][C]-3.21829851697325[/C][C]0.810775054317224[/C][/ROW]
[ROW][C]0.65[/C][C]-3.06841313149756[/C][C]0.772645510272702[/C][/ROW]
[ROW][C]0.66[/C][C]-2.9257055378287[/C][C]0.73169660513235[/C][/ROW]
[ROW][C]0.67[/C][C]-2.79090824594206[/C][C]0.687255488419096[/C][/ROW]
[ROW][C]0.68[/C][C]-2.66480265826254[/C][C]0.638799224859332[/C][/ROW]
[ROW][C]0.69[/C][C]-2.54812384772412[/C][C]0.58632349893237[/C][/ROW]
[ROW][C]0.7[/C][C]-2.44141200208716[/C][C]0.530649853686558[/C][/ROW]
[ROW][C]0.71[/C][C]-2.34483098626454[/C][C]0.473608924588443[/C][/ROW]
[ROW][C]0.72[/C][C]-2.25798790104954[/C][C]0.418065689739835[/C][/ROW]
[ROW][C]0.73[/C][C]-2.17979621201787[/C][C]0.367795376082873[/C][/ROW]
[ROW][C]0.74[/C][C]-2.10842605350508[/C][C]0.32720571159337[/C][/ROW]
[ROW][C]0.75[/C][C]-2.04137662796405[/C][C]0.300782127004494[/C][/ROW]
[ROW][C]0.76[/C][C]-1.97568632982051[/C][C]0.291875956014578[/C][/ROW]
[ROW][C]0.77[/C][C]-1.90826694135771[/C][C]0.300952449925147[/C][/ROW]
[ROW][C]0.78[/C][C]-1.83631183339895[/C][C]0.324743722960625[/C][/ROW]
[ROW][C]0.79[/C][C]-1.75769078111765[/C][C]0.357256359553759[/C][/ROW]
[ROW][C]0.8[/C][C]-1.6712162843552[/C][C]0.391607506679139[/C][/ROW]
[ROW][C]0.81[/C][C]-1.57666248495411[/C][C]0.42164645983486[/C][/ROW]
[ROW][C]0.82[/C][C]-1.47445292083254[/C][C]0.443417013595435[/C][/ROW]
[ROW][C]0.83[/C][C]-1.36501680447750[/C][C]0.456594716260282[/C][/ROW]
[ROW][C]0.84[/C][C]-1.24794008685798[/C][C]0.465609180699951[/C][/ROW]
[ROW][C]0.85[/C][C]-1.12117867685278[/C][C]0.479706989840173[/C][/ROW]
[ROW][C]0.86[/C][C]-0.98070052518282[/C][C]0.510577167443705[/C][/ROW]
[ROW][C]0.87[/C][C]-0.820904181333407[/C][C]0.566575046802346[/C][/ROW]
[ROW][C]0.88[/C][C]-0.635954742640822[/C][C]0.646292714201165[/C][/ROW]
[ROW][C]0.89[/C][C]-0.421776245323045[/C][C]0.73663799218425[/C][/ROW]
[ROW][C]0.9[/C][C]-0.177965634265539[/C][C]0.816621467439552[/C][/ROW]
[ROW][C]0.91[/C][C]0.0913618058282178[/C][C]0.864778820691665[/C][/ROW]
[ROW][C]0.92[/C][C]0.378450291533105[/C][C]0.86820002629419[/C][/ROW]
[ROW][C]0.93[/C][C]0.674074650724432[/C][C]0.82943781578846[/C][/ROW]
[ROW][C]0.94[/C][C]0.96923134084651[/C][C]0.764755757836202[/C][/ROW]
[ROW][C]0.95[/C][C]1.25428516555047[/C][C]0.6883048066624[/C][/ROW]
[ROW][C]0.96[/C][C]1.51561557358258[/C][C]0.591806647872853[/C][/ROW]
[ROW][C]0.97[/C][C]1.73373767769838[/C][C]0.45091350497512[/C][/ROW]
[ROW][C]0.98[/C][C]1.88862166095042[/C][C]0.266569558386619[/C][/ROW]
[ROW][C]0.99[/C][C]1.97254436090900[/C][C]0.0929458362138855[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74030&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74030&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
0.01-24.68736758387790.870556737731882
0.02-24.18981601427040.918657356494041
0.03-23.60267698336281.19248673039058
0.04-22.95389501358241.51398299851771
0.05-22.24965857621191.77974988973890
0.06-21.50442183351961.97363106222087
0.07-20.73971249339642.10371714176913
0.08-19.97578346128692.17915144509092
0.09-19.22741086364122.2123441034969
0.1-18.50330892090552.22049042385452
0.11-17.80695971503172.22050834926567
0.12-17.13806951487072.22275919319231
0.13-16.49444479641452.22845302725061
0.14-15.87391151484912.23122260280099
0.15-15.27578973058282.22079484017481
0.16-14.70160408968702.18669411663122
0.17-14.15498792093292.12110938451398
0.18-13.64095129919942.02064780051319
0.19-13.16478272158691.88717036458585
0.2-12.73086814511931.72778998927724
0.21-12.34167695785371.55386045752610
0.22-11.99710147373931.37938784372425
0.23-11.69425290669811.21909011906470
0.24-11.42772218615661.08639146077944
0.25-11.19022457242000.991485464906793
0.26-10.97348128750530.93931936520183
0.27-10.76916260986870.928397687856833
0.28-10.56972810396800.951418049721115
0.29-10.36904321725950.997927683327225
0.3-10.16271268703421.05725526727629
0.31-9.948133567979061.12030449103801
0.32-9.724320535319941.18021006089487
0.33-9.491585284630111.23241620681790
0.34-9.251158375973771.27439978767738
0.35-9.004829062961151.30514503097496
0.36-8.754653260014591.32462731440791
0.37-8.50274993698891.33329065648003
0.38-8.251179421329421.33164579196818
0.39-8.001878843299561.32015765023219
0.4-7.756622942621631.29930361786085
0.41-7.516982333650071.26976711013625
0.42-7.284263243042691.23270630090767
0.43-7.059428242536041.18994244970455
0.44-6.84301175681971.14403659638508
0.45-6.635053082994971.09814375675924
0.46-6.435070991906581.05569423027285
0.47-6.242097571960521.01987852276794
0.48-6.054776808280380.993147845932537
0.49-5.87151892280860.97667968284775
0.5-5.690688667655170.970157992867244
0.51-5.510797887682290.971857497338852
0.52-5.330671596971640.979035146922603
0.53-5.149562517398390.9884813333724
0.54-4.96719975283220.997074260470622
0.55-4.78377017469941.00220324966882
0.56-4.599843116357001.00203727936435
0.57-4.416257675848180.99558836635797
0.58-4.233996014759410.982674679233778
0.59-4.054065459695330.963757073851892
0.6-3.877407849209180.939712383510472
0.61-3.704847748290620.911573278773729
0.62-3.537083170661880.880306169913082
0.63-3.374714333036720.846610485547328
0.64-3.218298516973250.810775054317224
0.65-3.068413131497560.772645510272702
0.66-2.92570553782870.73169660513235
0.67-2.790908245942060.687255488419096
0.68-2.664802658262540.638799224859332
0.69-2.548123847724120.58632349893237
0.7-2.441412002087160.530649853686558
0.71-2.344830986264540.473608924588443
0.72-2.257987901049540.418065689739835
0.73-2.179796212017870.367795376082873
0.74-2.108426053505080.32720571159337
0.75-2.041376627964050.300782127004494
0.76-1.975686329820510.291875956014578
0.77-1.908266941357710.300952449925147
0.78-1.836311833398950.324743722960625
0.79-1.757690781117650.357256359553759
0.8-1.67121628435520.391607506679139
0.81-1.576662484954110.42164645983486
0.82-1.474452920832540.443417013595435
0.83-1.365016804477500.456594716260282
0.84-1.247940086857980.465609180699951
0.85-1.121178676852780.479706989840173
0.86-0.980700525182820.510577167443705
0.87-0.8209041813334070.566575046802346
0.88-0.6359547426408220.646292714201165
0.89-0.4217762453230450.73663799218425
0.9-0.1779656342655390.816621467439552
0.910.09136180582821780.864778820691665
0.920.3784502915331050.86820002629419
0.930.6740746507244320.82943781578846
0.940.969231340846510.764755757836202
0.951.254285165550470.6883048066624
0.961.515615573582580.591806647872853
0.971.733737677698380.45091350497512
0.981.888621660950420.266569558386619
0.991.972544360909000.0929458362138855



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')