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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationWed, 12 Oct 2011 15:26:39 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318447668wuywf2yraud6hk6.htm/, Retrieved Fri, 10 May 2024 07:17:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128540, Retrieved Fri, 10 May 2024 07:17:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact73
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen katt...] [2011-10-12 19:26:39] [2a71f74e7f2bee2ce32c293bcda06bce] [Current]
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Dataseries X:
1,83
1,83
1,87
1,87
1,86
1,87
1,87
1,89
1,89
1,88
1,88
1,87
1,78
1,79
1,8
1,82
1,82
1,83
1,84
1,84
1,83
1,83
1,83
1,84
1,86
1,85
1,85
1,85
1,84
1,85
1,85
1,83
1,82
1,84
1,85
1,88
1,91
1,93
1,91
1,9
1,9
1,89
1,88
1,88
1,92
1,98
2
2
2,02
2,01
2,05
2,07
2,07
2,04
2,05
2,05
2,04
2,03
2,04
2,04
2,1
2,09
2,1
2,09
2,08
2,1
2,11
2,08
2,09
2,1
2,09
2,09




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128540&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128540&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128540&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' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.783795904946630.0104973627259984
0.021.790084652575980.012210411623277
0.031.797257960553620.01353791552755
0.041.804178300033550.0133453704391282
0.051.810239868624150.0118355175877795
0.061.815213022101560.0098162642594277
0.071.8191238249560.00796048078956131
0.081.822139573954750.00652152402055142
0.091.824465878707770.00543702504588473
0.11.826285596469820.00458660009114314
0.111.827743117908750.00393301273235899
0.121.828953207813860.00352632386454735
0.131.830012627763240.00342381278915199
0.141.831004497138750.00361261539983611
0.151.831996010068760.00400482926335733
0.161.833034406892020.00449047500662783
0.171.834145317990880.00497721902907223
0.181.835334939960720.00540434429813354
0.191.836595246288680.0057424643703809
0.21.83791040850970.00599142988817726
0.211.839262680720910.00616586987627013
0.221.840636682129350.00629171664710005
0.231.842021803361650.00639385719043722
0.241.843413034090430.00649441936414709
0.251.844810739477590.00661446107575389
0.261.846219851357830.00677108159494017
0.271.847648735904190.00698151306116167
0.281.849107812516160.00725641420012663
0.291.850607929687340.00759606054365056
0.31.852158565249550.00798650479095085
0.311.853766049856330.00840115518919782
0.321.855432123258410.00880697729835001
0.331.85715315028310.00916592344513201
0.341.858920223881780.00944777656807112
0.351.860720195989650.00963142768244406
0.361.862537467858960.00970946070699974
0.371.864356209645690.00969004444909835
0.381.866162612090970.0095949573105988
0.391.867946812573510.00945390507310079
0.41.869704259983030.009305569903039
0.411.871436442532330.00918205823110271
0.421.873151051368460.00912027283506392
0.431.87486175485280.00914947486419817
0.441.87658779848060.00930136611156014
0.451.878353628077060.00959930977064936
0.461.880188675716370.0100686251718388
0.471.882127367835040.0107371202062629
0.481.884209327658320.0116338135768248
0.491.88647965707070.0127872167706386
0.51.888989100675010.0142322106623412
0.511.891793823644030.0159962336296026
0.521.894954489067070.0181066276214942
0.531.898534321770790.0205715981803452
0.541.902595918527570.0233831871386233
0.551.907196725755230.0264954869877386
0.561.912383351999040.0298339696808652
0.571.918185182063030.0332799863264136
0.581.924608052487110.0366778773588329
0.591.931628956271120.0398527818532038
0.61.939192793312890.0426097011421244
0.611.947212024814260.0447706517485493
0.621.955569726581740.0461811105899973
0.631.964126026256450.0467397702365132
0.641.972727358325380.0464017321270409
0.651.981217502812060.045190529203704
0.661.989449095792940.0431963016909211
0.671.997294268468350.0405581215027863
0.682.004653274659680.0374584238146348
0.692.011460331012980.0340917554736971
0.72.017686312972720.0306605151281185
0.712.023338320963680.027350670840421
0.722.028456392648120.0243280917088168
0.732.033107781522110.021722485482262
0.742.037379290359150.0196264406725201
0.752.04136820202530.0180868881664517
0.762.045172438714750.0170885978845428
0.772.048880712586790.0165595921150305
0.782.052563567841890.0163743735860653
0.792.056266286982660.0163735826672179
0.82.060004575341120.016392944154088
0.812.063763719795780.0162841497364685
0.822.067501569986860.0159286843098279
0.832.071155286263840.0152557857903628
0.842.074651401824120.0142475373620023
0.852.077918346033330.0129380057496416
0.862.080900059361370.011411391850629
0.872.083568558460270.00979593119622034
0.882.08593231976460.00824823151130246
0.892.088036617601620.00693485866976123
0.92.089952507988460.00599096328377211
0.912.091754256483380.00544499143276333
0.922.093491276711760.00515776670996542
0.932.095168895790340.00486750449143248
0.942.096758806919190.00434958692152135
0.952.098258025189640.00356988006741162
0.962.099791051953530.00282640319013651
0.972.101680223061610.00294815298531792
0.982.104293557377610.00468074863383625
0.992.107483575322950.00749764401717626

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.78379590494663 & 0.0104973627259984 \tabularnewline
0.02 & 1.79008465257598 & 0.012210411623277 \tabularnewline
0.03 & 1.79725796055362 & 0.01353791552755 \tabularnewline
0.04 & 1.80417830003355 & 0.0133453704391282 \tabularnewline
0.05 & 1.81023986862415 & 0.0118355175877795 \tabularnewline
0.06 & 1.81521302210156 & 0.0098162642594277 \tabularnewline
0.07 & 1.819123824956 & 0.00796048078956131 \tabularnewline
0.08 & 1.82213957395475 & 0.00652152402055142 \tabularnewline
0.09 & 1.82446587870777 & 0.00543702504588473 \tabularnewline
0.1 & 1.82628559646982 & 0.00458660009114314 \tabularnewline
0.11 & 1.82774311790875 & 0.00393301273235899 \tabularnewline
0.12 & 1.82895320781386 & 0.00352632386454735 \tabularnewline
0.13 & 1.83001262776324 & 0.00342381278915199 \tabularnewline
0.14 & 1.83100449713875 & 0.00361261539983611 \tabularnewline
0.15 & 1.83199601006876 & 0.00400482926335733 \tabularnewline
0.16 & 1.83303440689202 & 0.00449047500662783 \tabularnewline
0.17 & 1.83414531799088 & 0.00497721902907223 \tabularnewline
0.18 & 1.83533493996072 & 0.00540434429813354 \tabularnewline
0.19 & 1.83659524628868 & 0.0057424643703809 \tabularnewline
0.2 & 1.8379104085097 & 0.00599142988817726 \tabularnewline
0.21 & 1.83926268072091 & 0.00616586987627013 \tabularnewline
0.22 & 1.84063668212935 & 0.00629171664710005 \tabularnewline
0.23 & 1.84202180336165 & 0.00639385719043722 \tabularnewline
0.24 & 1.84341303409043 & 0.00649441936414709 \tabularnewline
0.25 & 1.84481073947759 & 0.00661446107575389 \tabularnewline
0.26 & 1.84621985135783 & 0.00677108159494017 \tabularnewline
0.27 & 1.84764873590419 & 0.00698151306116167 \tabularnewline
0.28 & 1.84910781251616 & 0.00725641420012663 \tabularnewline
0.29 & 1.85060792968734 & 0.00759606054365056 \tabularnewline
0.3 & 1.85215856524955 & 0.00798650479095085 \tabularnewline
0.31 & 1.85376604985633 & 0.00840115518919782 \tabularnewline
0.32 & 1.85543212325841 & 0.00880697729835001 \tabularnewline
0.33 & 1.8571531502831 & 0.00916592344513201 \tabularnewline
0.34 & 1.85892022388178 & 0.00944777656807112 \tabularnewline
0.35 & 1.86072019598965 & 0.00963142768244406 \tabularnewline
0.36 & 1.86253746785896 & 0.00970946070699974 \tabularnewline
0.37 & 1.86435620964569 & 0.00969004444909835 \tabularnewline
0.38 & 1.86616261209097 & 0.0095949573105988 \tabularnewline
0.39 & 1.86794681257351 & 0.00945390507310079 \tabularnewline
0.4 & 1.86970425998303 & 0.009305569903039 \tabularnewline
0.41 & 1.87143644253233 & 0.00918205823110271 \tabularnewline
0.42 & 1.87315105136846 & 0.00912027283506392 \tabularnewline
0.43 & 1.8748617548528 & 0.00914947486419817 \tabularnewline
0.44 & 1.8765877984806 & 0.00930136611156014 \tabularnewline
0.45 & 1.87835362807706 & 0.00959930977064936 \tabularnewline
0.46 & 1.88018867571637 & 0.0100686251718388 \tabularnewline
0.47 & 1.88212736783504 & 0.0107371202062629 \tabularnewline
0.48 & 1.88420932765832 & 0.0116338135768248 \tabularnewline
0.49 & 1.8864796570707 & 0.0127872167706386 \tabularnewline
0.5 & 1.88898910067501 & 0.0142322106623412 \tabularnewline
0.51 & 1.89179382364403 & 0.0159962336296026 \tabularnewline
0.52 & 1.89495448906707 & 0.0181066276214942 \tabularnewline
0.53 & 1.89853432177079 & 0.0205715981803452 \tabularnewline
0.54 & 1.90259591852757 & 0.0233831871386233 \tabularnewline
0.55 & 1.90719672575523 & 0.0264954869877386 \tabularnewline
0.56 & 1.91238335199904 & 0.0298339696808652 \tabularnewline
0.57 & 1.91818518206303 & 0.0332799863264136 \tabularnewline
0.58 & 1.92460805248711 & 0.0366778773588329 \tabularnewline
0.59 & 1.93162895627112 & 0.0398527818532038 \tabularnewline
0.6 & 1.93919279331289 & 0.0426097011421244 \tabularnewline
0.61 & 1.94721202481426 & 0.0447706517485493 \tabularnewline
0.62 & 1.95556972658174 & 0.0461811105899973 \tabularnewline
0.63 & 1.96412602625645 & 0.0467397702365132 \tabularnewline
0.64 & 1.97272735832538 & 0.0464017321270409 \tabularnewline
0.65 & 1.98121750281206 & 0.045190529203704 \tabularnewline
0.66 & 1.98944909579294 & 0.0431963016909211 \tabularnewline
0.67 & 1.99729426846835 & 0.0405581215027863 \tabularnewline
0.68 & 2.00465327465968 & 0.0374584238146348 \tabularnewline
0.69 & 2.01146033101298 & 0.0340917554736971 \tabularnewline
0.7 & 2.01768631297272 & 0.0306605151281185 \tabularnewline
0.71 & 2.02333832096368 & 0.027350670840421 \tabularnewline
0.72 & 2.02845639264812 & 0.0243280917088168 \tabularnewline
0.73 & 2.03310778152211 & 0.021722485482262 \tabularnewline
0.74 & 2.03737929035915 & 0.0196264406725201 \tabularnewline
0.75 & 2.0413682020253 & 0.0180868881664517 \tabularnewline
0.76 & 2.04517243871475 & 0.0170885978845428 \tabularnewline
0.77 & 2.04888071258679 & 0.0165595921150305 \tabularnewline
0.78 & 2.05256356784189 & 0.0163743735860653 \tabularnewline
0.79 & 2.05626628698266 & 0.0163735826672179 \tabularnewline
0.8 & 2.06000457534112 & 0.016392944154088 \tabularnewline
0.81 & 2.06376371979578 & 0.0162841497364685 \tabularnewline
0.82 & 2.06750156998686 & 0.0159286843098279 \tabularnewline
0.83 & 2.07115528626384 & 0.0152557857903628 \tabularnewline
0.84 & 2.07465140182412 & 0.0142475373620023 \tabularnewline
0.85 & 2.07791834603333 & 0.0129380057496416 \tabularnewline
0.86 & 2.08090005936137 & 0.011411391850629 \tabularnewline
0.87 & 2.08356855846027 & 0.00979593119622034 \tabularnewline
0.88 & 2.0859323197646 & 0.00824823151130246 \tabularnewline
0.89 & 2.08803661760162 & 0.00693485866976123 \tabularnewline
0.9 & 2.08995250798846 & 0.00599096328377211 \tabularnewline
0.91 & 2.09175425648338 & 0.00544499143276333 \tabularnewline
0.92 & 2.09349127671176 & 0.00515776670996542 \tabularnewline
0.93 & 2.09516889579034 & 0.00486750449143248 \tabularnewline
0.94 & 2.09675880691919 & 0.00434958692152135 \tabularnewline
0.95 & 2.09825802518964 & 0.00356988006741162 \tabularnewline
0.96 & 2.09979105195353 & 0.00282640319013651 \tabularnewline
0.97 & 2.10168022306161 & 0.00294815298531792 \tabularnewline
0.98 & 2.10429355737761 & 0.00468074863383625 \tabularnewline
0.99 & 2.10748357532295 & 0.00749764401717626 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128540&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]1.78379590494663[/C][C]0.0104973627259984[/C][/ROW]
[ROW][C]0.02[/C][C]1.79008465257598[/C][C]0.012210411623277[/C][/ROW]
[ROW][C]0.03[/C][C]1.79725796055362[/C][C]0.01353791552755[/C][/ROW]
[ROW][C]0.04[/C][C]1.80417830003355[/C][C]0.0133453704391282[/C][/ROW]
[ROW][C]0.05[/C][C]1.81023986862415[/C][C]0.0118355175877795[/C][/ROW]
[ROW][C]0.06[/C][C]1.81521302210156[/C][C]0.0098162642594277[/C][/ROW]
[ROW][C]0.07[/C][C]1.819123824956[/C][C]0.00796048078956131[/C][/ROW]
[ROW][C]0.08[/C][C]1.82213957395475[/C][C]0.00652152402055142[/C][/ROW]
[ROW][C]0.09[/C][C]1.82446587870777[/C][C]0.00543702504588473[/C][/ROW]
[ROW][C]0.1[/C][C]1.82628559646982[/C][C]0.00458660009114314[/C][/ROW]
[ROW][C]0.11[/C][C]1.82774311790875[/C][C]0.00393301273235899[/C][/ROW]
[ROW][C]0.12[/C][C]1.82895320781386[/C][C]0.00352632386454735[/C][/ROW]
[ROW][C]0.13[/C][C]1.83001262776324[/C][C]0.00342381278915199[/C][/ROW]
[ROW][C]0.14[/C][C]1.83100449713875[/C][C]0.00361261539983611[/C][/ROW]
[ROW][C]0.15[/C][C]1.83199601006876[/C][C]0.00400482926335733[/C][/ROW]
[ROW][C]0.16[/C][C]1.83303440689202[/C][C]0.00449047500662783[/C][/ROW]
[ROW][C]0.17[/C][C]1.83414531799088[/C][C]0.00497721902907223[/C][/ROW]
[ROW][C]0.18[/C][C]1.83533493996072[/C][C]0.00540434429813354[/C][/ROW]
[ROW][C]0.19[/C][C]1.83659524628868[/C][C]0.0057424643703809[/C][/ROW]
[ROW][C]0.2[/C][C]1.8379104085097[/C][C]0.00599142988817726[/C][/ROW]
[ROW][C]0.21[/C][C]1.83926268072091[/C][C]0.00616586987627013[/C][/ROW]
[ROW][C]0.22[/C][C]1.84063668212935[/C][C]0.00629171664710005[/C][/ROW]
[ROW][C]0.23[/C][C]1.84202180336165[/C][C]0.00639385719043722[/C][/ROW]
[ROW][C]0.24[/C][C]1.84341303409043[/C][C]0.00649441936414709[/C][/ROW]
[ROW][C]0.25[/C][C]1.84481073947759[/C][C]0.00661446107575389[/C][/ROW]
[ROW][C]0.26[/C][C]1.84621985135783[/C][C]0.00677108159494017[/C][/ROW]
[ROW][C]0.27[/C][C]1.84764873590419[/C][C]0.00698151306116167[/C][/ROW]
[ROW][C]0.28[/C][C]1.84910781251616[/C][C]0.00725641420012663[/C][/ROW]
[ROW][C]0.29[/C][C]1.85060792968734[/C][C]0.00759606054365056[/C][/ROW]
[ROW][C]0.3[/C][C]1.85215856524955[/C][C]0.00798650479095085[/C][/ROW]
[ROW][C]0.31[/C][C]1.85376604985633[/C][C]0.00840115518919782[/C][/ROW]
[ROW][C]0.32[/C][C]1.85543212325841[/C][C]0.00880697729835001[/C][/ROW]
[ROW][C]0.33[/C][C]1.8571531502831[/C][C]0.00916592344513201[/C][/ROW]
[ROW][C]0.34[/C][C]1.85892022388178[/C][C]0.00944777656807112[/C][/ROW]
[ROW][C]0.35[/C][C]1.86072019598965[/C][C]0.00963142768244406[/C][/ROW]
[ROW][C]0.36[/C][C]1.86253746785896[/C][C]0.00970946070699974[/C][/ROW]
[ROW][C]0.37[/C][C]1.86435620964569[/C][C]0.00969004444909835[/C][/ROW]
[ROW][C]0.38[/C][C]1.86616261209097[/C][C]0.0095949573105988[/C][/ROW]
[ROW][C]0.39[/C][C]1.86794681257351[/C][C]0.00945390507310079[/C][/ROW]
[ROW][C]0.4[/C][C]1.86970425998303[/C][C]0.009305569903039[/C][/ROW]
[ROW][C]0.41[/C][C]1.87143644253233[/C][C]0.00918205823110271[/C][/ROW]
[ROW][C]0.42[/C][C]1.87315105136846[/C][C]0.00912027283506392[/C][/ROW]
[ROW][C]0.43[/C][C]1.8748617548528[/C][C]0.00914947486419817[/C][/ROW]
[ROW][C]0.44[/C][C]1.8765877984806[/C][C]0.00930136611156014[/C][/ROW]
[ROW][C]0.45[/C][C]1.87835362807706[/C][C]0.00959930977064936[/C][/ROW]
[ROW][C]0.46[/C][C]1.88018867571637[/C][C]0.0100686251718388[/C][/ROW]
[ROW][C]0.47[/C][C]1.88212736783504[/C][C]0.0107371202062629[/C][/ROW]
[ROW][C]0.48[/C][C]1.88420932765832[/C][C]0.0116338135768248[/C][/ROW]
[ROW][C]0.49[/C][C]1.8864796570707[/C][C]0.0127872167706386[/C][/ROW]
[ROW][C]0.5[/C][C]1.88898910067501[/C][C]0.0142322106623412[/C][/ROW]
[ROW][C]0.51[/C][C]1.89179382364403[/C][C]0.0159962336296026[/C][/ROW]
[ROW][C]0.52[/C][C]1.89495448906707[/C][C]0.0181066276214942[/C][/ROW]
[ROW][C]0.53[/C][C]1.89853432177079[/C][C]0.0205715981803452[/C][/ROW]
[ROW][C]0.54[/C][C]1.90259591852757[/C][C]0.0233831871386233[/C][/ROW]
[ROW][C]0.55[/C][C]1.90719672575523[/C][C]0.0264954869877386[/C][/ROW]
[ROW][C]0.56[/C][C]1.91238335199904[/C][C]0.0298339696808652[/C][/ROW]
[ROW][C]0.57[/C][C]1.91818518206303[/C][C]0.0332799863264136[/C][/ROW]
[ROW][C]0.58[/C][C]1.92460805248711[/C][C]0.0366778773588329[/C][/ROW]
[ROW][C]0.59[/C][C]1.93162895627112[/C][C]0.0398527818532038[/C][/ROW]
[ROW][C]0.6[/C][C]1.93919279331289[/C][C]0.0426097011421244[/C][/ROW]
[ROW][C]0.61[/C][C]1.94721202481426[/C][C]0.0447706517485493[/C][/ROW]
[ROW][C]0.62[/C][C]1.95556972658174[/C][C]0.0461811105899973[/C][/ROW]
[ROW][C]0.63[/C][C]1.96412602625645[/C][C]0.0467397702365132[/C][/ROW]
[ROW][C]0.64[/C][C]1.97272735832538[/C][C]0.0464017321270409[/C][/ROW]
[ROW][C]0.65[/C][C]1.98121750281206[/C][C]0.045190529203704[/C][/ROW]
[ROW][C]0.66[/C][C]1.98944909579294[/C][C]0.0431963016909211[/C][/ROW]
[ROW][C]0.67[/C][C]1.99729426846835[/C][C]0.0405581215027863[/C][/ROW]
[ROW][C]0.68[/C][C]2.00465327465968[/C][C]0.0374584238146348[/C][/ROW]
[ROW][C]0.69[/C][C]2.01146033101298[/C][C]0.0340917554736971[/C][/ROW]
[ROW][C]0.7[/C][C]2.01768631297272[/C][C]0.0306605151281185[/C][/ROW]
[ROW][C]0.71[/C][C]2.02333832096368[/C][C]0.027350670840421[/C][/ROW]
[ROW][C]0.72[/C][C]2.02845639264812[/C][C]0.0243280917088168[/C][/ROW]
[ROW][C]0.73[/C][C]2.03310778152211[/C][C]0.021722485482262[/C][/ROW]
[ROW][C]0.74[/C][C]2.03737929035915[/C][C]0.0196264406725201[/C][/ROW]
[ROW][C]0.75[/C][C]2.0413682020253[/C][C]0.0180868881664517[/C][/ROW]
[ROW][C]0.76[/C][C]2.04517243871475[/C][C]0.0170885978845428[/C][/ROW]
[ROW][C]0.77[/C][C]2.04888071258679[/C][C]0.0165595921150305[/C][/ROW]
[ROW][C]0.78[/C][C]2.05256356784189[/C][C]0.0163743735860653[/C][/ROW]
[ROW][C]0.79[/C][C]2.05626628698266[/C][C]0.0163735826672179[/C][/ROW]
[ROW][C]0.8[/C][C]2.06000457534112[/C][C]0.016392944154088[/C][/ROW]
[ROW][C]0.81[/C][C]2.06376371979578[/C][C]0.0162841497364685[/C][/ROW]
[ROW][C]0.82[/C][C]2.06750156998686[/C][C]0.0159286843098279[/C][/ROW]
[ROW][C]0.83[/C][C]2.07115528626384[/C][C]0.0152557857903628[/C][/ROW]
[ROW][C]0.84[/C][C]2.07465140182412[/C][C]0.0142475373620023[/C][/ROW]
[ROW][C]0.85[/C][C]2.07791834603333[/C][C]0.0129380057496416[/C][/ROW]
[ROW][C]0.86[/C][C]2.08090005936137[/C][C]0.011411391850629[/C][/ROW]
[ROW][C]0.87[/C][C]2.08356855846027[/C][C]0.00979593119622034[/C][/ROW]
[ROW][C]0.88[/C][C]2.0859323197646[/C][C]0.00824823151130246[/C][/ROW]
[ROW][C]0.89[/C][C]2.08803661760162[/C][C]0.00693485866976123[/C][/ROW]
[ROW][C]0.9[/C][C]2.08995250798846[/C][C]0.00599096328377211[/C][/ROW]
[ROW][C]0.91[/C][C]2.09175425648338[/C][C]0.00544499143276333[/C][/ROW]
[ROW][C]0.92[/C][C]2.09349127671176[/C][C]0.00515776670996542[/C][/ROW]
[ROW][C]0.93[/C][C]2.09516889579034[/C][C]0.00486750449143248[/C][/ROW]
[ROW][C]0.94[/C][C]2.09675880691919[/C][C]0.00434958692152135[/C][/ROW]
[ROW][C]0.95[/C][C]2.09825802518964[/C][C]0.00356988006741162[/C][/ROW]
[ROW][C]0.96[/C][C]2.09979105195353[/C][C]0.00282640319013651[/C][/ROW]
[ROW][C]0.97[/C][C]2.10168022306161[/C][C]0.00294815298531792[/C][/ROW]
[ROW][C]0.98[/C][C]2.10429355737761[/C][C]0.00468074863383625[/C][/ROW]
[ROW][C]0.99[/C][C]2.10748357532295[/C][C]0.00749764401717626[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128540&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128540&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
0.011.783795904946630.0104973627259984
0.021.790084652575980.012210411623277
0.031.797257960553620.01353791552755
0.041.804178300033550.0133453704391282
0.051.810239868624150.0118355175877795
0.061.815213022101560.0098162642594277
0.071.8191238249560.00796048078956131
0.081.822139573954750.00652152402055142
0.091.824465878707770.00543702504588473
0.11.826285596469820.00458660009114314
0.111.827743117908750.00393301273235899
0.121.828953207813860.00352632386454735
0.131.830012627763240.00342381278915199
0.141.831004497138750.00361261539983611
0.151.831996010068760.00400482926335733
0.161.833034406892020.00449047500662783
0.171.834145317990880.00497721902907223
0.181.835334939960720.00540434429813354
0.191.836595246288680.0057424643703809
0.21.83791040850970.00599142988817726
0.211.839262680720910.00616586987627013
0.221.840636682129350.00629171664710005
0.231.842021803361650.00639385719043722
0.241.843413034090430.00649441936414709
0.251.844810739477590.00661446107575389
0.261.846219851357830.00677108159494017
0.271.847648735904190.00698151306116167
0.281.849107812516160.00725641420012663
0.291.850607929687340.00759606054365056
0.31.852158565249550.00798650479095085
0.311.853766049856330.00840115518919782
0.321.855432123258410.00880697729835001
0.331.85715315028310.00916592344513201
0.341.858920223881780.00944777656807112
0.351.860720195989650.00963142768244406
0.361.862537467858960.00970946070699974
0.371.864356209645690.00969004444909835
0.381.866162612090970.0095949573105988
0.391.867946812573510.00945390507310079
0.41.869704259983030.009305569903039
0.411.871436442532330.00918205823110271
0.421.873151051368460.00912027283506392
0.431.87486175485280.00914947486419817
0.441.87658779848060.00930136611156014
0.451.878353628077060.00959930977064936
0.461.880188675716370.0100686251718388
0.471.882127367835040.0107371202062629
0.481.884209327658320.0116338135768248
0.491.88647965707070.0127872167706386
0.51.888989100675010.0142322106623412
0.511.891793823644030.0159962336296026
0.521.894954489067070.0181066276214942
0.531.898534321770790.0205715981803452
0.541.902595918527570.0233831871386233
0.551.907196725755230.0264954869877386
0.561.912383351999040.0298339696808652
0.571.918185182063030.0332799863264136
0.581.924608052487110.0366778773588329
0.591.931628956271120.0398527818532038
0.61.939192793312890.0426097011421244
0.611.947212024814260.0447706517485493
0.621.955569726581740.0461811105899973
0.631.964126026256450.0467397702365132
0.641.972727358325380.0464017321270409
0.651.981217502812060.045190529203704
0.661.989449095792940.0431963016909211
0.671.997294268468350.0405581215027863
0.682.004653274659680.0374584238146348
0.692.011460331012980.0340917554736971
0.72.017686312972720.0306605151281185
0.712.023338320963680.027350670840421
0.722.028456392648120.0243280917088168
0.732.033107781522110.021722485482262
0.742.037379290359150.0196264406725201
0.752.04136820202530.0180868881664517
0.762.045172438714750.0170885978845428
0.772.048880712586790.0165595921150305
0.782.052563567841890.0163743735860653
0.792.056266286982660.0163735826672179
0.82.060004575341120.016392944154088
0.812.063763719795780.0162841497364685
0.822.067501569986860.0159286843098279
0.832.071155286263840.0152557857903628
0.842.074651401824120.0142475373620023
0.852.077918346033330.0129380057496416
0.862.080900059361370.011411391850629
0.872.083568558460270.00979593119622034
0.882.08593231976460.00824823151130246
0.892.088036617601620.00693485866976123
0.92.089952507988460.00599096328377211
0.912.091754256483380.00544499143276333
0.922.093491276711760.00515776670996542
0.932.095168895790340.00486750449143248
0.942.096758806919190.00434958692152135
0.952.098258025189640.00356988006741162
0.962.099791051953530.00282640319013651
0.972.101680223061610.00294815298531792
0.982.104293557377610.00468074863383625
0.992.107483575322950.00749764401717626



Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.10 ;
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')