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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 23 Apr 2009 12:36:39 -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/Apr/23/t1240511836sg4y99ab6389lsz.htm/, Retrieved Sun, 12 May 2024 18:43:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39352, Retrieved Sun, 12 May 2024 18:43:28 +0000
QR Codes:

Original text written by user:eigen gegevens
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact203
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Van Roy Vincent, ...] [2009-04-23 18:36:39] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataseries X:
4.73
4.73
4.73
4.73
4.73
4.74
4.74
4.74
4.74
4.74
4.76
4.76
4.76
4.76
4.76
4.76
4.77
4.77
4.78
4.78
4.79
4.83
4.84
4.85
4.85
4.86
4.87
4.87
4.9
4.9
4.92
4.92
4.95
4.96
4.95
4.95
4.95
4.96
4.96
4.96
4.96
4.97
4.97
4.97
5.03
5.08
5.1
5.11
5.13
5.13
5.13
5.15
5.15
5.15
5.17
5.17
5.18
5.2
5.22
5.23
5.23
5.26
5.27
5.28
5.31
5.31
5.32
5.33
5.34
5.38
5.39
5.41
5.44
5.44
5.44
5.46
5.47
5.47
5.49
5.49
5.5
5.52
5.59
5.6
5.6




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=39352&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=39352&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39352&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
0.014.730040840008920.000164467300023870
0.024.730241604831120.000754151426112152
0.034.730777902422450.00185649406552020
0.044.731787876391990.00322043318703424
0.054.733289492976520.00444646744282344
0.064.735184532455130.00531974978750332
0.074.737337332673450.00595152681514314
0.084.739653847941540.00662095434968902
0.094.742104212035060.00746881004631605
0.14.74469151908550.0083783855688609
0.114.747408571022790.00912593679566866
0.124.75022010726280.00958702758499604
0.134.753079319953270.00980873726792489
0.144.755962590635170.0100282311220796
0.154.758899354539970.0106025251683982
0.164.761981988430650.0118178058962246
0.174.765353463974330.013846509496991
0.184.769179912358350.0166452824164902
0.194.77361839138660.0200616076547366
0.24.778788537323210.0238639785163435
0.214.784753338256630.0277601424738531
0.224.79151110355960.0314772589287729
0.234.798998491159210.0347612525738619
0.244.80710291391750.0374235537781481
0.254.815681384720210.0393792738659229
0.264.824581858592040.040654526133099
0.274.833662724775320.0413485933958144
0.284.842806643571120.0416164362817294
0.294.851926447309760.0416207909536541
0.34.86096294839910.0414695478586413
0.314.869876571508560.0412167627242815
0.324.878636125694770.0408473685560548
0.334.887208403076760.0402803384936087
0.344.895551653913070.0394539923565708
0.354.903614669925760.0382751011425346
0.364.911341671241420.0367409039245282
0.374.918681857128810.0348902937328001
0.384.925601605105230.0328417889618881
0.394.932096952902330.0307742898496497
0.44.93820408915250.0289410164998815
0.414.944005956985350.0276167107207859
0.424.949633594195560.0271057233678965
0.434.955261408449460.0276843253325717
0.444.961096201401080.0295209781123677
0.454.967360440671850.0326418062183838
0.464.974271054910640.0369109181437276
0.474.982015855712850.0420540596866259
0.484.990730442719540.0477029563480395
0.495.000478920254250.0534148888041862
0.55.011241723524490.0587015309810327
0.515.022913167963080.0631339017844356
0.525.035309998086290.0663202004956185
0.535.048190418031050.0680360734710046
0.545.061281199103090.0681890015650194
0.555.074308920938370.0668740229936845
0.565.087030598712580.0643347318757331
0.575.09925908937090.0609319687570282
0.585.110879721171010.0570963145403421
0.595.12185628684240.0532801404700414
0.65.132226468661670.0498599670445774
0.615.142088489789350.047135073932044
0.625.151581974140030.0452849476830556
0.635.160866482591340.0443386661297785
0.645.170100997037970.0442217510788575
0.655.179426911351080.0447719517125246
0.665.188956102530010.0457649664927239
0.675.198764645859570.047001942040277
0.685.208891904903220.0482663381820066
0.695.219344184261340.0494289375009252
0.75.23010188879340.0503547804380418
0.715.241129094125580.0510070611687314
0.725.252384437022420.0513702922040095
0.735.26383211600570.0514990320509189
0.745.27545147843690.0514745057496604
0.755.287243259512560.0514244550627524
0.765.299230325067660.0514594563679587
0.775.311451156858560.0516821440604487
0.785.323945624414850.052086768298656
0.795.336734803367850.0525767850642656
0.85.349799219680140.052928336331709
0.815.363061944248180.0528564765063487
0.825.376383283027440.0520725304574882
0.835.389571611201380.0503764124462199
0.845.402410320092990.0477179815381666
0.855.414695261222550.0442285480232364
0.865.426272891272570.0402044937034859
0.875.437069146378740.0360283062733527
0.885.447104467506090.0320825049039849
0.895.456500660293730.0286666076675714
0.95.465496359115940.0260229977010278
0.915.474491125123320.0244369608662437
0.925.484119464470030.0244313090717541
0.935.495300153932640.0267944440779424
0.945.509119100422260.0319608259884257
0.955.52635761746850.0387045233363964
0.965.546634862582030.0432997402120867
0.975.567620666925010.0406355049439098
0.985.585327768252740.0282824864150105
0.995.596215560592370.0111889206958949

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.73004084000892 & 0.000164467300023870 \tabularnewline
0.02 & 4.73024160483112 & 0.000754151426112152 \tabularnewline
0.03 & 4.73077790242245 & 0.00185649406552020 \tabularnewline
0.04 & 4.73178787639199 & 0.00322043318703424 \tabularnewline
0.05 & 4.73328949297652 & 0.00444646744282344 \tabularnewline
0.06 & 4.73518453245513 & 0.00531974978750332 \tabularnewline
0.07 & 4.73733733267345 & 0.00595152681514314 \tabularnewline
0.08 & 4.73965384794154 & 0.00662095434968902 \tabularnewline
0.09 & 4.74210421203506 & 0.00746881004631605 \tabularnewline
0.1 & 4.7446915190855 & 0.0083783855688609 \tabularnewline
0.11 & 4.74740857102279 & 0.00912593679566866 \tabularnewline
0.12 & 4.7502201072628 & 0.00958702758499604 \tabularnewline
0.13 & 4.75307931995327 & 0.00980873726792489 \tabularnewline
0.14 & 4.75596259063517 & 0.0100282311220796 \tabularnewline
0.15 & 4.75889935453997 & 0.0106025251683982 \tabularnewline
0.16 & 4.76198198843065 & 0.0118178058962246 \tabularnewline
0.17 & 4.76535346397433 & 0.013846509496991 \tabularnewline
0.18 & 4.76917991235835 & 0.0166452824164902 \tabularnewline
0.19 & 4.7736183913866 & 0.0200616076547366 \tabularnewline
0.2 & 4.77878853732321 & 0.0238639785163435 \tabularnewline
0.21 & 4.78475333825663 & 0.0277601424738531 \tabularnewline
0.22 & 4.7915111035596 & 0.0314772589287729 \tabularnewline
0.23 & 4.79899849115921 & 0.0347612525738619 \tabularnewline
0.24 & 4.8071029139175 & 0.0374235537781481 \tabularnewline
0.25 & 4.81568138472021 & 0.0393792738659229 \tabularnewline
0.26 & 4.82458185859204 & 0.040654526133099 \tabularnewline
0.27 & 4.83366272477532 & 0.0413485933958144 \tabularnewline
0.28 & 4.84280664357112 & 0.0416164362817294 \tabularnewline
0.29 & 4.85192644730976 & 0.0416207909536541 \tabularnewline
0.3 & 4.8609629483991 & 0.0414695478586413 \tabularnewline
0.31 & 4.86987657150856 & 0.0412167627242815 \tabularnewline
0.32 & 4.87863612569477 & 0.0408473685560548 \tabularnewline
0.33 & 4.88720840307676 & 0.0402803384936087 \tabularnewline
0.34 & 4.89555165391307 & 0.0394539923565708 \tabularnewline
0.35 & 4.90361466992576 & 0.0382751011425346 \tabularnewline
0.36 & 4.91134167124142 & 0.0367409039245282 \tabularnewline
0.37 & 4.91868185712881 & 0.0348902937328001 \tabularnewline
0.38 & 4.92560160510523 & 0.0328417889618881 \tabularnewline
0.39 & 4.93209695290233 & 0.0307742898496497 \tabularnewline
0.4 & 4.9382040891525 & 0.0289410164998815 \tabularnewline
0.41 & 4.94400595698535 & 0.0276167107207859 \tabularnewline
0.42 & 4.94963359419556 & 0.0271057233678965 \tabularnewline
0.43 & 4.95526140844946 & 0.0276843253325717 \tabularnewline
0.44 & 4.96109620140108 & 0.0295209781123677 \tabularnewline
0.45 & 4.96736044067185 & 0.0326418062183838 \tabularnewline
0.46 & 4.97427105491064 & 0.0369109181437276 \tabularnewline
0.47 & 4.98201585571285 & 0.0420540596866259 \tabularnewline
0.48 & 4.99073044271954 & 0.0477029563480395 \tabularnewline
0.49 & 5.00047892025425 & 0.0534148888041862 \tabularnewline
0.5 & 5.01124172352449 & 0.0587015309810327 \tabularnewline
0.51 & 5.02291316796308 & 0.0631339017844356 \tabularnewline
0.52 & 5.03530999808629 & 0.0663202004956185 \tabularnewline
0.53 & 5.04819041803105 & 0.0680360734710046 \tabularnewline
0.54 & 5.06128119910309 & 0.0681890015650194 \tabularnewline
0.55 & 5.07430892093837 & 0.0668740229936845 \tabularnewline
0.56 & 5.08703059871258 & 0.0643347318757331 \tabularnewline
0.57 & 5.0992590893709 & 0.0609319687570282 \tabularnewline
0.58 & 5.11087972117101 & 0.0570963145403421 \tabularnewline
0.59 & 5.1218562868424 & 0.0532801404700414 \tabularnewline
0.6 & 5.13222646866167 & 0.0498599670445774 \tabularnewline
0.61 & 5.14208848978935 & 0.047135073932044 \tabularnewline
0.62 & 5.15158197414003 & 0.0452849476830556 \tabularnewline
0.63 & 5.16086648259134 & 0.0443386661297785 \tabularnewline
0.64 & 5.17010099703797 & 0.0442217510788575 \tabularnewline
0.65 & 5.17942691135108 & 0.0447719517125246 \tabularnewline
0.66 & 5.18895610253001 & 0.0457649664927239 \tabularnewline
0.67 & 5.19876464585957 & 0.047001942040277 \tabularnewline
0.68 & 5.20889190490322 & 0.0482663381820066 \tabularnewline
0.69 & 5.21934418426134 & 0.0494289375009252 \tabularnewline
0.7 & 5.2301018887934 & 0.0503547804380418 \tabularnewline
0.71 & 5.24112909412558 & 0.0510070611687314 \tabularnewline
0.72 & 5.25238443702242 & 0.0513702922040095 \tabularnewline
0.73 & 5.2638321160057 & 0.0514990320509189 \tabularnewline
0.74 & 5.2754514784369 & 0.0514745057496604 \tabularnewline
0.75 & 5.28724325951256 & 0.0514244550627524 \tabularnewline
0.76 & 5.29923032506766 & 0.0514594563679587 \tabularnewline
0.77 & 5.31145115685856 & 0.0516821440604487 \tabularnewline
0.78 & 5.32394562441485 & 0.052086768298656 \tabularnewline
0.79 & 5.33673480336785 & 0.0525767850642656 \tabularnewline
0.8 & 5.34979921968014 & 0.052928336331709 \tabularnewline
0.81 & 5.36306194424818 & 0.0528564765063487 \tabularnewline
0.82 & 5.37638328302744 & 0.0520725304574882 \tabularnewline
0.83 & 5.38957161120138 & 0.0503764124462199 \tabularnewline
0.84 & 5.40241032009299 & 0.0477179815381666 \tabularnewline
0.85 & 5.41469526122255 & 0.0442285480232364 \tabularnewline
0.86 & 5.42627289127257 & 0.0402044937034859 \tabularnewline
0.87 & 5.43706914637874 & 0.0360283062733527 \tabularnewline
0.88 & 5.44710446750609 & 0.0320825049039849 \tabularnewline
0.89 & 5.45650066029373 & 0.0286666076675714 \tabularnewline
0.9 & 5.46549635911594 & 0.0260229977010278 \tabularnewline
0.91 & 5.47449112512332 & 0.0244369608662437 \tabularnewline
0.92 & 5.48411946447003 & 0.0244313090717541 \tabularnewline
0.93 & 5.49530015393264 & 0.0267944440779424 \tabularnewline
0.94 & 5.50911910042226 & 0.0319608259884257 \tabularnewline
0.95 & 5.5263576174685 & 0.0387045233363964 \tabularnewline
0.96 & 5.54663486258203 & 0.0432997402120867 \tabularnewline
0.97 & 5.56762066692501 & 0.0406355049439098 \tabularnewline
0.98 & 5.58532776825274 & 0.0282824864150105 \tabularnewline
0.99 & 5.59621556059237 & 0.0111889206958949 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39352&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]4.73004084000892[/C][C]0.000164467300023870[/C][/ROW]
[ROW][C]0.02[/C][C]4.73024160483112[/C][C]0.000754151426112152[/C][/ROW]
[ROW][C]0.03[/C][C]4.73077790242245[/C][C]0.00185649406552020[/C][/ROW]
[ROW][C]0.04[/C][C]4.73178787639199[/C][C]0.00322043318703424[/C][/ROW]
[ROW][C]0.05[/C][C]4.73328949297652[/C][C]0.00444646744282344[/C][/ROW]
[ROW][C]0.06[/C][C]4.73518453245513[/C][C]0.00531974978750332[/C][/ROW]
[ROW][C]0.07[/C][C]4.73733733267345[/C][C]0.00595152681514314[/C][/ROW]
[ROW][C]0.08[/C][C]4.73965384794154[/C][C]0.00662095434968902[/C][/ROW]
[ROW][C]0.09[/C][C]4.74210421203506[/C][C]0.00746881004631605[/C][/ROW]
[ROW][C]0.1[/C][C]4.7446915190855[/C][C]0.0083783855688609[/C][/ROW]
[ROW][C]0.11[/C][C]4.74740857102279[/C][C]0.00912593679566866[/C][/ROW]
[ROW][C]0.12[/C][C]4.7502201072628[/C][C]0.00958702758499604[/C][/ROW]
[ROW][C]0.13[/C][C]4.75307931995327[/C][C]0.00980873726792489[/C][/ROW]
[ROW][C]0.14[/C][C]4.75596259063517[/C][C]0.0100282311220796[/C][/ROW]
[ROW][C]0.15[/C][C]4.75889935453997[/C][C]0.0106025251683982[/C][/ROW]
[ROW][C]0.16[/C][C]4.76198198843065[/C][C]0.0118178058962246[/C][/ROW]
[ROW][C]0.17[/C][C]4.76535346397433[/C][C]0.013846509496991[/C][/ROW]
[ROW][C]0.18[/C][C]4.76917991235835[/C][C]0.0166452824164902[/C][/ROW]
[ROW][C]0.19[/C][C]4.7736183913866[/C][C]0.0200616076547366[/C][/ROW]
[ROW][C]0.2[/C][C]4.77878853732321[/C][C]0.0238639785163435[/C][/ROW]
[ROW][C]0.21[/C][C]4.78475333825663[/C][C]0.0277601424738531[/C][/ROW]
[ROW][C]0.22[/C][C]4.7915111035596[/C][C]0.0314772589287729[/C][/ROW]
[ROW][C]0.23[/C][C]4.79899849115921[/C][C]0.0347612525738619[/C][/ROW]
[ROW][C]0.24[/C][C]4.8071029139175[/C][C]0.0374235537781481[/C][/ROW]
[ROW][C]0.25[/C][C]4.81568138472021[/C][C]0.0393792738659229[/C][/ROW]
[ROW][C]0.26[/C][C]4.82458185859204[/C][C]0.040654526133099[/C][/ROW]
[ROW][C]0.27[/C][C]4.83366272477532[/C][C]0.0413485933958144[/C][/ROW]
[ROW][C]0.28[/C][C]4.84280664357112[/C][C]0.0416164362817294[/C][/ROW]
[ROW][C]0.29[/C][C]4.85192644730976[/C][C]0.0416207909536541[/C][/ROW]
[ROW][C]0.3[/C][C]4.8609629483991[/C][C]0.0414695478586413[/C][/ROW]
[ROW][C]0.31[/C][C]4.86987657150856[/C][C]0.0412167627242815[/C][/ROW]
[ROW][C]0.32[/C][C]4.87863612569477[/C][C]0.0408473685560548[/C][/ROW]
[ROW][C]0.33[/C][C]4.88720840307676[/C][C]0.0402803384936087[/C][/ROW]
[ROW][C]0.34[/C][C]4.89555165391307[/C][C]0.0394539923565708[/C][/ROW]
[ROW][C]0.35[/C][C]4.90361466992576[/C][C]0.0382751011425346[/C][/ROW]
[ROW][C]0.36[/C][C]4.91134167124142[/C][C]0.0367409039245282[/C][/ROW]
[ROW][C]0.37[/C][C]4.91868185712881[/C][C]0.0348902937328001[/C][/ROW]
[ROW][C]0.38[/C][C]4.92560160510523[/C][C]0.0328417889618881[/C][/ROW]
[ROW][C]0.39[/C][C]4.93209695290233[/C][C]0.0307742898496497[/C][/ROW]
[ROW][C]0.4[/C][C]4.9382040891525[/C][C]0.0289410164998815[/C][/ROW]
[ROW][C]0.41[/C][C]4.94400595698535[/C][C]0.0276167107207859[/C][/ROW]
[ROW][C]0.42[/C][C]4.94963359419556[/C][C]0.0271057233678965[/C][/ROW]
[ROW][C]0.43[/C][C]4.95526140844946[/C][C]0.0276843253325717[/C][/ROW]
[ROW][C]0.44[/C][C]4.96109620140108[/C][C]0.0295209781123677[/C][/ROW]
[ROW][C]0.45[/C][C]4.96736044067185[/C][C]0.0326418062183838[/C][/ROW]
[ROW][C]0.46[/C][C]4.97427105491064[/C][C]0.0369109181437276[/C][/ROW]
[ROW][C]0.47[/C][C]4.98201585571285[/C][C]0.0420540596866259[/C][/ROW]
[ROW][C]0.48[/C][C]4.99073044271954[/C][C]0.0477029563480395[/C][/ROW]
[ROW][C]0.49[/C][C]5.00047892025425[/C][C]0.0534148888041862[/C][/ROW]
[ROW][C]0.5[/C][C]5.01124172352449[/C][C]0.0587015309810327[/C][/ROW]
[ROW][C]0.51[/C][C]5.02291316796308[/C][C]0.0631339017844356[/C][/ROW]
[ROW][C]0.52[/C][C]5.03530999808629[/C][C]0.0663202004956185[/C][/ROW]
[ROW][C]0.53[/C][C]5.04819041803105[/C][C]0.0680360734710046[/C][/ROW]
[ROW][C]0.54[/C][C]5.06128119910309[/C][C]0.0681890015650194[/C][/ROW]
[ROW][C]0.55[/C][C]5.07430892093837[/C][C]0.0668740229936845[/C][/ROW]
[ROW][C]0.56[/C][C]5.08703059871258[/C][C]0.0643347318757331[/C][/ROW]
[ROW][C]0.57[/C][C]5.0992590893709[/C][C]0.0609319687570282[/C][/ROW]
[ROW][C]0.58[/C][C]5.11087972117101[/C][C]0.0570963145403421[/C][/ROW]
[ROW][C]0.59[/C][C]5.1218562868424[/C][C]0.0532801404700414[/C][/ROW]
[ROW][C]0.6[/C][C]5.13222646866167[/C][C]0.0498599670445774[/C][/ROW]
[ROW][C]0.61[/C][C]5.14208848978935[/C][C]0.047135073932044[/C][/ROW]
[ROW][C]0.62[/C][C]5.15158197414003[/C][C]0.0452849476830556[/C][/ROW]
[ROW][C]0.63[/C][C]5.16086648259134[/C][C]0.0443386661297785[/C][/ROW]
[ROW][C]0.64[/C][C]5.17010099703797[/C][C]0.0442217510788575[/C][/ROW]
[ROW][C]0.65[/C][C]5.17942691135108[/C][C]0.0447719517125246[/C][/ROW]
[ROW][C]0.66[/C][C]5.18895610253001[/C][C]0.0457649664927239[/C][/ROW]
[ROW][C]0.67[/C][C]5.19876464585957[/C][C]0.047001942040277[/C][/ROW]
[ROW][C]0.68[/C][C]5.20889190490322[/C][C]0.0482663381820066[/C][/ROW]
[ROW][C]0.69[/C][C]5.21934418426134[/C][C]0.0494289375009252[/C][/ROW]
[ROW][C]0.7[/C][C]5.2301018887934[/C][C]0.0503547804380418[/C][/ROW]
[ROW][C]0.71[/C][C]5.24112909412558[/C][C]0.0510070611687314[/C][/ROW]
[ROW][C]0.72[/C][C]5.25238443702242[/C][C]0.0513702922040095[/C][/ROW]
[ROW][C]0.73[/C][C]5.2638321160057[/C][C]0.0514990320509189[/C][/ROW]
[ROW][C]0.74[/C][C]5.2754514784369[/C][C]0.0514745057496604[/C][/ROW]
[ROW][C]0.75[/C][C]5.28724325951256[/C][C]0.0514244550627524[/C][/ROW]
[ROW][C]0.76[/C][C]5.29923032506766[/C][C]0.0514594563679587[/C][/ROW]
[ROW][C]0.77[/C][C]5.31145115685856[/C][C]0.0516821440604487[/C][/ROW]
[ROW][C]0.78[/C][C]5.32394562441485[/C][C]0.052086768298656[/C][/ROW]
[ROW][C]0.79[/C][C]5.33673480336785[/C][C]0.0525767850642656[/C][/ROW]
[ROW][C]0.8[/C][C]5.34979921968014[/C][C]0.052928336331709[/C][/ROW]
[ROW][C]0.81[/C][C]5.36306194424818[/C][C]0.0528564765063487[/C][/ROW]
[ROW][C]0.82[/C][C]5.37638328302744[/C][C]0.0520725304574882[/C][/ROW]
[ROW][C]0.83[/C][C]5.38957161120138[/C][C]0.0503764124462199[/C][/ROW]
[ROW][C]0.84[/C][C]5.40241032009299[/C][C]0.0477179815381666[/C][/ROW]
[ROW][C]0.85[/C][C]5.41469526122255[/C][C]0.0442285480232364[/C][/ROW]
[ROW][C]0.86[/C][C]5.42627289127257[/C][C]0.0402044937034859[/C][/ROW]
[ROW][C]0.87[/C][C]5.43706914637874[/C][C]0.0360283062733527[/C][/ROW]
[ROW][C]0.88[/C][C]5.44710446750609[/C][C]0.0320825049039849[/C][/ROW]
[ROW][C]0.89[/C][C]5.45650066029373[/C][C]0.0286666076675714[/C][/ROW]
[ROW][C]0.9[/C][C]5.46549635911594[/C][C]0.0260229977010278[/C][/ROW]
[ROW][C]0.91[/C][C]5.47449112512332[/C][C]0.0244369608662437[/C][/ROW]
[ROW][C]0.92[/C][C]5.48411946447003[/C][C]0.0244313090717541[/C][/ROW]
[ROW][C]0.93[/C][C]5.49530015393264[/C][C]0.0267944440779424[/C][/ROW]
[ROW][C]0.94[/C][C]5.50911910042226[/C][C]0.0319608259884257[/C][/ROW]
[ROW][C]0.95[/C][C]5.5263576174685[/C][C]0.0387045233363964[/C][/ROW]
[ROW][C]0.96[/C][C]5.54663486258203[/C][C]0.0432997402120867[/C][/ROW]
[ROW][C]0.97[/C][C]5.56762066692501[/C][C]0.0406355049439098[/C][/ROW]
[ROW][C]0.98[/C][C]5.58532776825274[/C][C]0.0282824864150105[/C][/ROW]
[ROW][C]0.99[/C][C]5.59621556059237[/C][C]0.0111889206958949[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39352&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39352&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
0.014.730040840008920.000164467300023870
0.024.730241604831120.000754151426112152
0.034.730777902422450.00185649406552020
0.044.731787876391990.00322043318703424
0.054.733289492976520.00444646744282344
0.064.735184532455130.00531974978750332
0.074.737337332673450.00595152681514314
0.084.739653847941540.00662095434968902
0.094.742104212035060.00746881004631605
0.14.74469151908550.0083783855688609
0.114.747408571022790.00912593679566866
0.124.75022010726280.00958702758499604
0.134.753079319953270.00980873726792489
0.144.755962590635170.0100282311220796
0.154.758899354539970.0106025251683982
0.164.761981988430650.0118178058962246
0.174.765353463974330.013846509496991
0.184.769179912358350.0166452824164902
0.194.77361839138660.0200616076547366
0.24.778788537323210.0238639785163435
0.214.784753338256630.0277601424738531
0.224.79151110355960.0314772589287729
0.234.798998491159210.0347612525738619
0.244.80710291391750.0374235537781481
0.254.815681384720210.0393792738659229
0.264.824581858592040.040654526133099
0.274.833662724775320.0413485933958144
0.284.842806643571120.0416164362817294
0.294.851926447309760.0416207909536541
0.34.86096294839910.0414695478586413
0.314.869876571508560.0412167627242815
0.324.878636125694770.0408473685560548
0.334.887208403076760.0402803384936087
0.344.895551653913070.0394539923565708
0.354.903614669925760.0382751011425346
0.364.911341671241420.0367409039245282
0.374.918681857128810.0348902937328001
0.384.925601605105230.0328417889618881
0.394.932096952902330.0307742898496497
0.44.93820408915250.0289410164998815
0.414.944005956985350.0276167107207859
0.424.949633594195560.0271057233678965
0.434.955261408449460.0276843253325717
0.444.961096201401080.0295209781123677
0.454.967360440671850.0326418062183838
0.464.974271054910640.0369109181437276
0.474.982015855712850.0420540596866259
0.484.990730442719540.0477029563480395
0.495.000478920254250.0534148888041862
0.55.011241723524490.0587015309810327
0.515.022913167963080.0631339017844356
0.525.035309998086290.0663202004956185
0.535.048190418031050.0680360734710046
0.545.061281199103090.0681890015650194
0.555.074308920938370.0668740229936845
0.565.087030598712580.0643347318757331
0.575.09925908937090.0609319687570282
0.585.110879721171010.0570963145403421
0.595.12185628684240.0532801404700414
0.65.132226468661670.0498599670445774
0.615.142088489789350.047135073932044
0.625.151581974140030.0452849476830556
0.635.160866482591340.0443386661297785
0.645.170100997037970.0442217510788575
0.655.179426911351080.0447719517125246
0.665.188956102530010.0457649664927239
0.675.198764645859570.047001942040277
0.685.208891904903220.0482663381820066
0.695.219344184261340.0494289375009252
0.75.23010188879340.0503547804380418
0.715.241129094125580.0510070611687314
0.725.252384437022420.0513702922040095
0.735.26383211600570.0514990320509189
0.745.27545147843690.0514745057496604
0.755.287243259512560.0514244550627524
0.765.299230325067660.0514594563679587
0.775.311451156858560.0516821440604487
0.785.323945624414850.052086768298656
0.795.336734803367850.0525767850642656
0.85.349799219680140.052928336331709
0.815.363061944248180.0528564765063487
0.825.376383283027440.0520725304574882
0.835.389571611201380.0503764124462199
0.845.402410320092990.0477179815381666
0.855.414695261222550.0442285480232364
0.865.426272891272570.0402044937034859
0.875.437069146378740.0360283062733527
0.885.447104467506090.0320825049039849
0.895.456500660293730.0286666076675714
0.95.465496359115940.0260229977010278
0.915.474491125123320.0244369608662437
0.925.484119464470030.0244313090717541
0.935.495300153932640.0267944440779424
0.945.509119100422260.0319608259884257
0.955.52635761746850.0387045233363964
0.965.546634862582030.0432997402120867
0.975.567620666925010.0406355049439098
0.985.585327768252740.0282824864150105
0.995.596215560592370.0111889206958949



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')