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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 17 Aug 2008 08:42:14 -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/2008/Aug/17/t1218984437gq3cpoe4n879kkz.htm/, Retrieved Tue, 14 May 2024 23:53:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=14152, Retrieved Tue, 14 May 2024 23:53:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsAlain Piscaer 2MAR04
Estimated Impact176
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Opgave 4 Stap 3] [2008-08-17 14:42:14] [a3ab1f5d18edf6efe0d68a62d436c7a5] [Current]
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Dataseries X:
1.84
1.89
1.71
1.43
1.28
1.29
1.76
2.78
2.75
3.11
3.03
2.8
2.78
2.04
2.03
1.32
0.93
1.09
1.47
1.99
2.77
2.42
2.05
2.24
2.18
2.11
2.9
2.71
1.45
1.47
1.9
1.87
2.98
2.51
2.41
2.24
2.36
2.18
2.6
1.57
1.38
1.33
1.47
2.41
3.81
3.86
2.58
2.61
2.18
2.03
2.17
1.26
1.3
1.17
1.49
2.09
2.76
2.16
1.95
2.36
2.53
2.23
1.95
1.6
1.33
1.36
1.39
2.25
3.13
2.54
2.17
2.11
2.11
1.88
2.39
1.38
0.97
1.11
1.39
1.94
2.47
1.82
1.99
2.38
2.21
2.13
1.8
1.22
1.02
1.17
1.6
2.12
3
2.23
1.87
2.13




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14152&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14152&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14152&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.9542345094405160.0474478945446548
0.020.9948299806842950.0617263686562195
0.031.039512252935020.0698720141626258
0.041.082202938783580.0712108628376465
0.051.120873645306690.0700440632490423
0.061.155406332766830.0686064640304257
0.071.186317581669560.066761497686923
0.081.214042400139780.0637889299420642
0.091.238782127297250.0595468263908678
0.11.260668191381090.0546562504156351
0.111.279945652081530.0500957463729294
0.121.297033099337680.0466788341510072
0.131.312465148651820.044748305631251
0.141.326790765029550.0442163391405019
0.151.340494049855130.0448060077230836
0.161.353964977092630.0462815147735182
0.171.367512788791080.0485469047852478
0.181.381400023620550.0516418912773664
0.191.395877296106170.0556953915557142
0.21.411207660565070.0608827606580968
0.211.427676617607770.0673624868414835
0.221.445586940836350.0752535700946236
0.231.465238112170980.0845281645767474
0.241.486891152796570.0949531900041353
0.251.510722683547450.106026089639098
0.261.536776514714880.117007894762709
0.271.564924653495170.127000101156738
0.281.594849962949180.135087874361361
0.291.626058849859990.140491299830758
0.31.657925269461290.142715362101503
0.311.68975937044780.141627524555714
0.321.720887888727050.137479777342803
0.331.750730772443690.130866177933382
0.341.778859988864830.122605103311188
0.351.805031236241500.113609430255697
0.361.829185735532910.104752233710117
0.371.851425565004970.0967318558664222
0.381.871970617258750.090012989123845
0.391.891107378729360.0847865140873612
0.41.909139310068840.0809991191273007
0.411.926346241248330.0784139782327335
0.421.942956849513920.0766916687375549
0.431.959134958819320.0754883127810083
0.441.974977845974280.0744793802669917
0.451.990523332013070.0734188032909941
0.462.005762147603240.0721266951899598
0.472.020652566405050.0704963594255936
0.482.035135157714670.068487486582226
0.492.049146330401770.0661150122031317
0.52.062629906730240.0634473878946884
0.512.075546262103030.0605877863418432
0.522.087878725927450.0576664093465091
0.532.099637126493760.0548228571025273
0.542.110858672645140.0522044801147086
0.552.121606760274550.0499331705159826
0.562.131968624194650.0481176682180246
0.572.142052847352640.0468466878666113
0.582.151987478913340.0462044743191244
0.592.16191892149270.0462613957445864
0.62.172010982713060.0471022649095586
0.612.182442792094290.0488013799869438
0.622.193403925104940.0513895101479105
0.632.205085272070490.0548633535393368
0.642.217665061114180.0591179824744213
0.652.231290948903770.0639600324553852
0.662.24606095336960.0690791687517815
0.672.262007670030830.0741119400860923
0.682.279090946340180.0786641692203088
0.692.297203302413060.0824032225215888
0.72.316189636103050.08513067454667
0.712.335878663149660.0868397098678016
0.722.356119458246850.0877205402565103
0.732.376814104532470.0881290279130399
0.742.397938118653780.0884774340357488
0.752.419544018715330.0891319459768413
0.762.441748575175930.0903286081221743
0.772.464708357720980.0921331776032715
0.782.488589011493490.094474113507832
0.792.513531130804850.0971786156677137
0.82.539612265210780.0999684661718208
0.812.56680484025960.102429590739259
0.822.594936864792380.103980661202031
0.832.623674978758430.103953394885702
0.842.652560068065450.101793602225567
0.852.681122293599770.0974170140542246
0.862.709074889622730.0915282273974041
0.872.736535659550980.0857726762499301
0.882.764171978050690.082460206349575
0.892.793148725591230.0835500220311261
0.92.824823488625940.089148473144547
0.912.860300831805380.0969342957643384
0.922.90020088968660.103536107267814
0.932.945249238882360.107237916824679
0.942.998421757862080.111733529418221
0.953.06883272745050.131479281487906
0.963.174709472997950.190309875364508
0.973.336533969610880.288005030705606
0.983.54994614427050.347751302305428
0.993.754232022567120.243535790979031

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.954234509440516 & 0.0474478945446548 \tabularnewline
0.02 & 0.994829980684295 & 0.0617263686562195 \tabularnewline
0.03 & 1.03951225293502 & 0.0698720141626258 \tabularnewline
0.04 & 1.08220293878358 & 0.0712108628376465 \tabularnewline
0.05 & 1.12087364530669 & 0.0700440632490423 \tabularnewline
0.06 & 1.15540633276683 & 0.0686064640304257 \tabularnewline
0.07 & 1.18631758166956 & 0.066761497686923 \tabularnewline
0.08 & 1.21404240013978 & 0.0637889299420642 \tabularnewline
0.09 & 1.23878212729725 & 0.0595468263908678 \tabularnewline
0.1 & 1.26066819138109 & 0.0546562504156351 \tabularnewline
0.11 & 1.27994565208153 & 0.0500957463729294 \tabularnewline
0.12 & 1.29703309933768 & 0.0466788341510072 \tabularnewline
0.13 & 1.31246514865182 & 0.044748305631251 \tabularnewline
0.14 & 1.32679076502955 & 0.0442163391405019 \tabularnewline
0.15 & 1.34049404985513 & 0.0448060077230836 \tabularnewline
0.16 & 1.35396497709263 & 0.0462815147735182 \tabularnewline
0.17 & 1.36751278879108 & 0.0485469047852478 \tabularnewline
0.18 & 1.38140002362055 & 0.0516418912773664 \tabularnewline
0.19 & 1.39587729610617 & 0.0556953915557142 \tabularnewline
0.2 & 1.41120766056507 & 0.0608827606580968 \tabularnewline
0.21 & 1.42767661760777 & 0.0673624868414835 \tabularnewline
0.22 & 1.44558694083635 & 0.0752535700946236 \tabularnewline
0.23 & 1.46523811217098 & 0.0845281645767474 \tabularnewline
0.24 & 1.48689115279657 & 0.0949531900041353 \tabularnewline
0.25 & 1.51072268354745 & 0.106026089639098 \tabularnewline
0.26 & 1.53677651471488 & 0.117007894762709 \tabularnewline
0.27 & 1.56492465349517 & 0.127000101156738 \tabularnewline
0.28 & 1.59484996294918 & 0.135087874361361 \tabularnewline
0.29 & 1.62605884985999 & 0.140491299830758 \tabularnewline
0.3 & 1.65792526946129 & 0.142715362101503 \tabularnewline
0.31 & 1.6897593704478 & 0.141627524555714 \tabularnewline
0.32 & 1.72088788872705 & 0.137479777342803 \tabularnewline
0.33 & 1.75073077244369 & 0.130866177933382 \tabularnewline
0.34 & 1.77885998886483 & 0.122605103311188 \tabularnewline
0.35 & 1.80503123624150 & 0.113609430255697 \tabularnewline
0.36 & 1.82918573553291 & 0.104752233710117 \tabularnewline
0.37 & 1.85142556500497 & 0.0967318558664222 \tabularnewline
0.38 & 1.87197061725875 & 0.090012989123845 \tabularnewline
0.39 & 1.89110737872936 & 0.0847865140873612 \tabularnewline
0.4 & 1.90913931006884 & 0.0809991191273007 \tabularnewline
0.41 & 1.92634624124833 & 0.0784139782327335 \tabularnewline
0.42 & 1.94295684951392 & 0.0766916687375549 \tabularnewline
0.43 & 1.95913495881932 & 0.0754883127810083 \tabularnewline
0.44 & 1.97497784597428 & 0.0744793802669917 \tabularnewline
0.45 & 1.99052333201307 & 0.0734188032909941 \tabularnewline
0.46 & 2.00576214760324 & 0.0721266951899598 \tabularnewline
0.47 & 2.02065256640505 & 0.0704963594255936 \tabularnewline
0.48 & 2.03513515771467 & 0.068487486582226 \tabularnewline
0.49 & 2.04914633040177 & 0.0661150122031317 \tabularnewline
0.5 & 2.06262990673024 & 0.0634473878946884 \tabularnewline
0.51 & 2.07554626210303 & 0.0605877863418432 \tabularnewline
0.52 & 2.08787872592745 & 0.0576664093465091 \tabularnewline
0.53 & 2.09963712649376 & 0.0548228571025273 \tabularnewline
0.54 & 2.11085867264514 & 0.0522044801147086 \tabularnewline
0.55 & 2.12160676027455 & 0.0499331705159826 \tabularnewline
0.56 & 2.13196862419465 & 0.0481176682180246 \tabularnewline
0.57 & 2.14205284735264 & 0.0468466878666113 \tabularnewline
0.58 & 2.15198747891334 & 0.0462044743191244 \tabularnewline
0.59 & 2.1619189214927 & 0.0462613957445864 \tabularnewline
0.6 & 2.17201098271306 & 0.0471022649095586 \tabularnewline
0.61 & 2.18244279209429 & 0.0488013799869438 \tabularnewline
0.62 & 2.19340392510494 & 0.0513895101479105 \tabularnewline
0.63 & 2.20508527207049 & 0.0548633535393368 \tabularnewline
0.64 & 2.21766506111418 & 0.0591179824744213 \tabularnewline
0.65 & 2.23129094890377 & 0.0639600324553852 \tabularnewline
0.66 & 2.2460609533696 & 0.0690791687517815 \tabularnewline
0.67 & 2.26200767003083 & 0.0741119400860923 \tabularnewline
0.68 & 2.27909094634018 & 0.0786641692203088 \tabularnewline
0.69 & 2.29720330241306 & 0.0824032225215888 \tabularnewline
0.7 & 2.31618963610305 & 0.08513067454667 \tabularnewline
0.71 & 2.33587866314966 & 0.0868397098678016 \tabularnewline
0.72 & 2.35611945824685 & 0.0877205402565103 \tabularnewline
0.73 & 2.37681410453247 & 0.0881290279130399 \tabularnewline
0.74 & 2.39793811865378 & 0.0884774340357488 \tabularnewline
0.75 & 2.41954401871533 & 0.0891319459768413 \tabularnewline
0.76 & 2.44174857517593 & 0.0903286081221743 \tabularnewline
0.77 & 2.46470835772098 & 0.0921331776032715 \tabularnewline
0.78 & 2.48858901149349 & 0.094474113507832 \tabularnewline
0.79 & 2.51353113080485 & 0.0971786156677137 \tabularnewline
0.8 & 2.53961226521078 & 0.0999684661718208 \tabularnewline
0.81 & 2.5668048402596 & 0.102429590739259 \tabularnewline
0.82 & 2.59493686479238 & 0.103980661202031 \tabularnewline
0.83 & 2.62367497875843 & 0.103953394885702 \tabularnewline
0.84 & 2.65256006806545 & 0.101793602225567 \tabularnewline
0.85 & 2.68112229359977 & 0.0974170140542246 \tabularnewline
0.86 & 2.70907488962273 & 0.0915282273974041 \tabularnewline
0.87 & 2.73653565955098 & 0.0857726762499301 \tabularnewline
0.88 & 2.76417197805069 & 0.082460206349575 \tabularnewline
0.89 & 2.79314872559123 & 0.0835500220311261 \tabularnewline
0.9 & 2.82482348862594 & 0.089148473144547 \tabularnewline
0.91 & 2.86030083180538 & 0.0969342957643384 \tabularnewline
0.92 & 2.9002008896866 & 0.103536107267814 \tabularnewline
0.93 & 2.94524923888236 & 0.107237916824679 \tabularnewline
0.94 & 2.99842175786208 & 0.111733529418221 \tabularnewline
0.95 & 3.0688327274505 & 0.131479281487906 \tabularnewline
0.96 & 3.17470947299795 & 0.190309875364508 \tabularnewline
0.97 & 3.33653396961088 & 0.288005030705606 \tabularnewline
0.98 & 3.5499461442705 & 0.347751302305428 \tabularnewline
0.99 & 3.75423202256712 & 0.243535790979031 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=14152&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]0.954234509440516[/C][C]0.0474478945446548[/C][/ROW]
[ROW][C]0.02[/C][C]0.994829980684295[/C][C]0.0617263686562195[/C][/ROW]
[ROW][C]0.03[/C][C]1.03951225293502[/C][C]0.0698720141626258[/C][/ROW]
[ROW][C]0.04[/C][C]1.08220293878358[/C][C]0.0712108628376465[/C][/ROW]
[ROW][C]0.05[/C][C]1.12087364530669[/C][C]0.0700440632490423[/C][/ROW]
[ROW][C]0.06[/C][C]1.15540633276683[/C][C]0.0686064640304257[/C][/ROW]
[ROW][C]0.07[/C][C]1.18631758166956[/C][C]0.066761497686923[/C][/ROW]
[ROW][C]0.08[/C][C]1.21404240013978[/C][C]0.0637889299420642[/C][/ROW]
[ROW][C]0.09[/C][C]1.23878212729725[/C][C]0.0595468263908678[/C][/ROW]
[ROW][C]0.1[/C][C]1.26066819138109[/C][C]0.0546562504156351[/C][/ROW]
[ROW][C]0.11[/C][C]1.27994565208153[/C][C]0.0500957463729294[/C][/ROW]
[ROW][C]0.12[/C][C]1.29703309933768[/C][C]0.0466788341510072[/C][/ROW]
[ROW][C]0.13[/C][C]1.31246514865182[/C][C]0.044748305631251[/C][/ROW]
[ROW][C]0.14[/C][C]1.32679076502955[/C][C]0.0442163391405019[/C][/ROW]
[ROW][C]0.15[/C][C]1.34049404985513[/C][C]0.0448060077230836[/C][/ROW]
[ROW][C]0.16[/C][C]1.35396497709263[/C][C]0.0462815147735182[/C][/ROW]
[ROW][C]0.17[/C][C]1.36751278879108[/C][C]0.0485469047852478[/C][/ROW]
[ROW][C]0.18[/C][C]1.38140002362055[/C][C]0.0516418912773664[/C][/ROW]
[ROW][C]0.19[/C][C]1.39587729610617[/C][C]0.0556953915557142[/C][/ROW]
[ROW][C]0.2[/C][C]1.41120766056507[/C][C]0.0608827606580968[/C][/ROW]
[ROW][C]0.21[/C][C]1.42767661760777[/C][C]0.0673624868414835[/C][/ROW]
[ROW][C]0.22[/C][C]1.44558694083635[/C][C]0.0752535700946236[/C][/ROW]
[ROW][C]0.23[/C][C]1.46523811217098[/C][C]0.0845281645767474[/C][/ROW]
[ROW][C]0.24[/C][C]1.48689115279657[/C][C]0.0949531900041353[/C][/ROW]
[ROW][C]0.25[/C][C]1.51072268354745[/C][C]0.106026089639098[/C][/ROW]
[ROW][C]0.26[/C][C]1.53677651471488[/C][C]0.117007894762709[/C][/ROW]
[ROW][C]0.27[/C][C]1.56492465349517[/C][C]0.127000101156738[/C][/ROW]
[ROW][C]0.28[/C][C]1.59484996294918[/C][C]0.135087874361361[/C][/ROW]
[ROW][C]0.29[/C][C]1.62605884985999[/C][C]0.140491299830758[/C][/ROW]
[ROW][C]0.3[/C][C]1.65792526946129[/C][C]0.142715362101503[/C][/ROW]
[ROW][C]0.31[/C][C]1.6897593704478[/C][C]0.141627524555714[/C][/ROW]
[ROW][C]0.32[/C][C]1.72088788872705[/C][C]0.137479777342803[/C][/ROW]
[ROW][C]0.33[/C][C]1.75073077244369[/C][C]0.130866177933382[/C][/ROW]
[ROW][C]0.34[/C][C]1.77885998886483[/C][C]0.122605103311188[/C][/ROW]
[ROW][C]0.35[/C][C]1.80503123624150[/C][C]0.113609430255697[/C][/ROW]
[ROW][C]0.36[/C][C]1.82918573553291[/C][C]0.104752233710117[/C][/ROW]
[ROW][C]0.37[/C][C]1.85142556500497[/C][C]0.0967318558664222[/C][/ROW]
[ROW][C]0.38[/C][C]1.87197061725875[/C][C]0.090012989123845[/C][/ROW]
[ROW][C]0.39[/C][C]1.89110737872936[/C][C]0.0847865140873612[/C][/ROW]
[ROW][C]0.4[/C][C]1.90913931006884[/C][C]0.0809991191273007[/C][/ROW]
[ROW][C]0.41[/C][C]1.92634624124833[/C][C]0.0784139782327335[/C][/ROW]
[ROW][C]0.42[/C][C]1.94295684951392[/C][C]0.0766916687375549[/C][/ROW]
[ROW][C]0.43[/C][C]1.95913495881932[/C][C]0.0754883127810083[/C][/ROW]
[ROW][C]0.44[/C][C]1.97497784597428[/C][C]0.0744793802669917[/C][/ROW]
[ROW][C]0.45[/C][C]1.99052333201307[/C][C]0.0734188032909941[/C][/ROW]
[ROW][C]0.46[/C][C]2.00576214760324[/C][C]0.0721266951899598[/C][/ROW]
[ROW][C]0.47[/C][C]2.02065256640505[/C][C]0.0704963594255936[/C][/ROW]
[ROW][C]0.48[/C][C]2.03513515771467[/C][C]0.068487486582226[/C][/ROW]
[ROW][C]0.49[/C][C]2.04914633040177[/C][C]0.0661150122031317[/C][/ROW]
[ROW][C]0.5[/C][C]2.06262990673024[/C][C]0.0634473878946884[/C][/ROW]
[ROW][C]0.51[/C][C]2.07554626210303[/C][C]0.0605877863418432[/C][/ROW]
[ROW][C]0.52[/C][C]2.08787872592745[/C][C]0.0576664093465091[/C][/ROW]
[ROW][C]0.53[/C][C]2.09963712649376[/C][C]0.0548228571025273[/C][/ROW]
[ROW][C]0.54[/C][C]2.11085867264514[/C][C]0.0522044801147086[/C][/ROW]
[ROW][C]0.55[/C][C]2.12160676027455[/C][C]0.0499331705159826[/C][/ROW]
[ROW][C]0.56[/C][C]2.13196862419465[/C][C]0.0481176682180246[/C][/ROW]
[ROW][C]0.57[/C][C]2.14205284735264[/C][C]0.0468466878666113[/C][/ROW]
[ROW][C]0.58[/C][C]2.15198747891334[/C][C]0.0462044743191244[/C][/ROW]
[ROW][C]0.59[/C][C]2.1619189214927[/C][C]0.0462613957445864[/C][/ROW]
[ROW][C]0.6[/C][C]2.17201098271306[/C][C]0.0471022649095586[/C][/ROW]
[ROW][C]0.61[/C][C]2.18244279209429[/C][C]0.0488013799869438[/C][/ROW]
[ROW][C]0.62[/C][C]2.19340392510494[/C][C]0.0513895101479105[/C][/ROW]
[ROW][C]0.63[/C][C]2.20508527207049[/C][C]0.0548633535393368[/C][/ROW]
[ROW][C]0.64[/C][C]2.21766506111418[/C][C]0.0591179824744213[/C][/ROW]
[ROW][C]0.65[/C][C]2.23129094890377[/C][C]0.0639600324553852[/C][/ROW]
[ROW][C]0.66[/C][C]2.2460609533696[/C][C]0.0690791687517815[/C][/ROW]
[ROW][C]0.67[/C][C]2.26200767003083[/C][C]0.0741119400860923[/C][/ROW]
[ROW][C]0.68[/C][C]2.27909094634018[/C][C]0.0786641692203088[/C][/ROW]
[ROW][C]0.69[/C][C]2.29720330241306[/C][C]0.0824032225215888[/C][/ROW]
[ROW][C]0.7[/C][C]2.31618963610305[/C][C]0.08513067454667[/C][/ROW]
[ROW][C]0.71[/C][C]2.33587866314966[/C][C]0.0868397098678016[/C][/ROW]
[ROW][C]0.72[/C][C]2.35611945824685[/C][C]0.0877205402565103[/C][/ROW]
[ROW][C]0.73[/C][C]2.37681410453247[/C][C]0.0881290279130399[/C][/ROW]
[ROW][C]0.74[/C][C]2.39793811865378[/C][C]0.0884774340357488[/C][/ROW]
[ROW][C]0.75[/C][C]2.41954401871533[/C][C]0.0891319459768413[/C][/ROW]
[ROW][C]0.76[/C][C]2.44174857517593[/C][C]0.0903286081221743[/C][/ROW]
[ROW][C]0.77[/C][C]2.46470835772098[/C][C]0.0921331776032715[/C][/ROW]
[ROW][C]0.78[/C][C]2.48858901149349[/C][C]0.094474113507832[/C][/ROW]
[ROW][C]0.79[/C][C]2.51353113080485[/C][C]0.0971786156677137[/C][/ROW]
[ROW][C]0.8[/C][C]2.53961226521078[/C][C]0.0999684661718208[/C][/ROW]
[ROW][C]0.81[/C][C]2.5668048402596[/C][C]0.102429590739259[/C][/ROW]
[ROW][C]0.82[/C][C]2.59493686479238[/C][C]0.103980661202031[/C][/ROW]
[ROW][C]0.83[/C][C]2.62367497875843[/C][C]0.103953394885702[/C][/ROW]
[ROW][C]0.84[/C][C]2.65256006806545[/C][C]0.101793602225567[/C][/ROW]
[ROW][C]0.85[/C][C]2.68112229359977[/C][C]0.0974170140542246[/C][/ROW]
[ROW][C]0.86[/C][C]2.70907488962273[/C][C]0.0915282273974041[/C][/ROW]
[ROW][C]0.87[/C][C]2.73653565955098[/C][C]0.0857726762499301[/C][/ROW]
[ROW][C]0.88[/C][C]2.76417197805069[/C][C]0.082460206349575[/C][/ROW]
[ROW][C]0.89[/C][C]2.79314872559123[/C][C]0.0835500220311261[/C][/ROW]
[ROW][C]0.9[/C][C]2.82482348862594[/C][C]0.089148473144547[/C][/ROW]
[ROW][C]0.91[/C][C]2.86030083180538[/C][C]0.0969342957643384[/C][/ROW]
[ROW][C]0.92[/C][C]2.9002008896866[/C][C]0.103536107267814[/C][/ROW]
[ROW][C]0.93[/C][C]2.94524923888236[/C][C]0.107237916824679[/C][/ROW]
[ROW][C]0.94[/C][C]2.99842175786208[/C][C]0.111733529418221[/C][/ROW]
[ROW][C]0.95[/C][C]3.0688327274505[/C][C]0.131479281487906[/C][/ROW]
[ROW][C]0.96[/C][C]3.17470947299795[/C][C]0.190309875364508[/C][/ROW]
[ROW][C]0.97[/C][C]3.33653396961088[/C][C]0.288005030705606[/C][/ROW]
[ROW][C]0.98[/C][C]3.5499461442705[/C][C]0.347751302305428[/C][/ROW]
[ROW][C]0.99[/C][C]3.75423202256712[/C][C]0.243535790979031[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=14152&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=14152&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
0.010.9542345094405160.0474478945446548
0.020.9948299806842950.0617263686562195
0.031.039512252935020.0698720141626258
0.041.082202938783580.0712108628376465
0.051.120873645306690.0700440632490423
0.061.155406332766830.0686064640304257
0.071.186317581669560.066761497686923
0.081.214042400139780.0637889299420642
0.091.238782127297250.0595468263908678
0.11.260668191381090.0546562504156351
0.111.279945652081530.0500957463729294
0.121.297033099337680.0466788341510072
0.131.312465148651820.044748305631251
0.141.326790765029550.0442163391405019
0.151.340494049855130.0448060077230836
0.161.353964977092630.0462815147735182
0.171.367512788791080.0485469047852478
0.181.381400023620550.0516418912773664
0.191.395877296106170.0556953915557142
0.21.411207660565070.0608827606580968
0.211.427676617607770.0673624868414835
0.221.445586940836350.0752535700946236
0.231.465238112170980.0845281645767474
0.241.486891152796570.0949531900041353
0.251.510722683547450.106026089639098
0.261.536776514714880.117007894762709
0.271.564924653495170.127000101156738
0.281.594849962949180.135087874361361
0.291.626058849859990.140491299830758
0.31.657925269461290.142715362101503
0.311.68975937044780.141627524555714
0.321.720887888727050.137479777342803
0.331.750730772443690.130866177933382
0.341.778859988864830.122605103311188
0.351.805031236241500.113609430255697
0.361.829185735532910.104752233710117
0.371.851425565004970.0967318558664222
0.381.871970617258750.090012989123845
0.391.891107378729360.0847865140873612
0.41.909139310068840.0809991191273007
0.411.926346241248330.0784139782327335
0.421.942956849513920.0766916687375549
0.431.959134958819320.0754883127810083
0.441.974977845974280.0744793802669917
0.451.990523332013070.0734188032909941
0.462.005762147603240.0721266951899598
0.472.020652566405050.0704963594255936
0.482.035135157714670.068487486582226
0.492.049146330401770.0661150122031317
0.52.062629906730240.0634473878946884
0.512.075546262103030.0605877863418432
0.522.087878725927450.0576664093465091
0.532.099637126493760.0548228571025273
0.542.110858672645140.0522044801147086
0.552.121606760274550.0499331705159826
0.562.131968624194650.0481176682180246
0.572.142052847352640.0468466878666113
0.582.151987478913340.0462044743191244
0.592.16191892149270.0462613957445864
0.62.172010982713060.0471022649095586
0.612.182442792094290.0488013799869438
0.622.193403925104940.0513895101479105
0.632.205085272070490.0548633535393368
0.642.217665061114180.0591179824744213
0.652.231290948903770.0639600324553852
0.662.24606095336960.0690791687517815
0.672.262007670030830.0741119400860923
0.682.279090946340180.0786641692203088
0.692.297203302413060.0824032225215888
0.72.316189636103050.08513067454667
0.712.335878663149660.0868397098678016
0.722.356119458246850.0877205402565103
0.732.376814104532470.0881290279130399
0.742.397938118653780.0884774340357488
0.752.419544018715330.0891319459768413
0.762.441748575175930.0903286081221743
0.772.464708357720980.0921331776032715
0.782.488589011493490.094474113507832
0.792.513531130804850.0971786156677137
0.82.539612265210780.0999684661718208
0.812.56680484025960.102429590739259
0.822.594936864792380.103980661202031
0.832.623674978758430.103953394885702
0.842.652560068065450.101793602225567
0.852.681122293599770.0974170140542246
0.862.709074889622730.0915282273974041
0.872.736535659550980.0857726762499301
0.882.764171978050690.082460206349575
0.892.793148725591230.0835500220311261
0.92.824823488625940.089148473144547
0.912.860300831805380.0969342957643384
0.922.90020088968660.103536107267814
0.932.945249238882360.107237916824679
0.942.998421757862080.111733529418221
0.953.06883272745050.131479281487906
0.963.174709472997950.190309875364508
0.973.336533969610880.288005030705606
0.983.54994614427050.347751302305428
0.993.754232022567120.243535790979031



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')