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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 10 Oct 2015 17:31:21 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/10/t144449470547a45cwhf7q1fag.htm/, Retrieved Tue, 14 May 2024 07:49:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282248, Retrieved Tue, 14 May 2024 07:49:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2015-10-01 20:32:13] [b63ade344763e232a60872be122cd067]
- RMPD  [Kernel Density Estimation] [] [2015-10-01 21:07:58] [b63ade344763e232a60872be122cd067]
- RMP       [Harrell-Davis Quantiles] [] [2015-10-10 16:31:21] [4b4e0ace64f044c9dde59b15676ee69f] [Current]
- RMP         [Central Tendency] [] [2015-10-10 16:43:53] [b63ade344763e232a60872be122cd067]
- RMP         [Mean versus Median] [] [2015-10-10 16:45:22] [b63ade344763e232a60872be122cd067]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
104.93
105.68
106.93
107.29
107.25
106.74
106.44
106.6
107.26
107.35
107.22
106.99
106.87
107.68
108.9
109.48
109.57
109.03
109.58
109.76
110.15
110.2
109.86
109.58
109.52
110.35
111.61
112.06
111.9
111.36
112.09
112.24
112.7
113.36
112.9
112.74
112.7
113.66
114.87
114.97
115
114.57
115.54
115.39
115.46
115.13
114.56
114.62
114.37
114.86
115.82
116.35
115.95
115.64
116.58
116.5
116.48
116.34
115.65
115.42

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282248&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282248&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282248&T=0

As an alternative you can also use a QR Code:  
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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01105.1274522231730.712338434942239
0.02105.4284765012710.672857795011075
0.03105.7503749635480.611352896251711
0.04106.0385464824910.526126999638899
0.05106.2729293468970.433053310260968
0.06106.454978872270.351562398567252
0.07106.5949771861060.292220335004408
0.08106.704692609240.255496731024962
0.09106.794250824980.236560647727265
0.1106.871338432690.230352474797854
0.11106.9414825269680.233625036195601
0.12107.0087016108550.245644973364288
0.13107.0761571145480.267353270374774
0.14107.1466335542220.300686350478318
0.15107.2227907134180.347552984220542
0.16107.3071943634190.407932712490874
0.17107.4021682903240.480196808300144
0.18107.5095346181080.560405481767175
0.19107.6303241965950.643070890758512
0.2107.7645402906110.721711456946235
0.21107.9110439937680.789843425752543
0.22108.0676006763270.841789877726987
0.23108.2310902097620.873576316164991
0.24108.3978487724210.883269797010349
0.25108.5640848360290.871826725445948
0.26108.7263012275390.841880632736596
0.27108.8816594927110.798200815378466
0.28109.028238997640.746569113365633
0.29109.1651659112250.693239401194602
0.3109.2926105922550.644373508910768
0.31109.411671208830.605432307288613
0.32109.5241738623730.580264577009993
0.33109.6324244383950.571421013378612
0.34109.7389459695770.579166611805064
0.35109.8462295901140.602153848990233
0.36109.9565195210.637514096845169
0.37110.0716448908530.681484992420352
0.38110.1929047610410.730351681567743
0.39110.3210078936680.780198163216669
0.4110.4560653741530.827507965266813
0.41110.5976316650390.868923195748334
0.42110.7447875089950.902254775084783
0.43110.8962560196570.925463458380119
0.44111.0505413105230.938063716023365
0.45111.2060773909730.939853497764398
0.46111.3613742058570.93205684200728
0.47111.5151479629340.916479678551891
0.48111.6664244395610.895346311887644
0.49111.8146066851020.871411236526964
0.5111.9595021030220.847587560156406
0.51112.1013078364080.826500081144634
0.52112.2405572175570.810056088587068
0.53112.3780334061370.799999644777009
0.54112.5146590172060.796755874638956
0.55112.6513724532660.80012154984391
0.56112.7890027937160.808879966024359
0.57112.9281554352650.821088855817682
0.58113.0691201271380.83417731969698
0.59113.2118114611290.845621692489263
0.6113.3557491376730.852534754552187
0.61113.5000814502120.852617053958001
0.62113.6436506631110.844147067885009
0.63113.7850938313040.826172452998266
0.64113.9229678732610.798498481929248
0.65114.0558841916850.761913575041783
0.66114.1826365492810.718062730413493
0.67114.3023066524510.668959043404245
0.68114.4143349489870.61721751615822
0.69114.5185490445840.565401961309865
0.7114.6151480913310.515890834606213
0.71114.704647549540.470591258504762
0.72114.7877939665560.430897558282539
0.73114.8654631469770.397443689339638
0.74114.9385568824360.370078633470388
0.75115.0079131265810.347879387846282
0.76115.0742422494120.329789631401814
0.77115.1380980916550.314381332294287
0.78115.1998874323280.3005633400622
0.79115.2599157693710.287369361507563
0.8115.3184616301030.274680116338803
0.81115.3758665441660.262714937424977
0.82115.432623715990.252324083184731
0.83115.4894455355810.244710559577387
0.84115.547288620090.241216585031492
0.85115.6073158482850.242986709255195
0.86115.6707795712450.250373934351238
0.87115.738821480770.262657986610643
0.88115.8122047420750.27769680502198
0.89115.8910221986990.292043925998066
0.9115.9744540823630.301460840731324
0.91116.0606666346810.301528262853217
0.92116.146934601640.289274867209308
0.93116.2300284296440.263672550728192
0.94116.306836440620.226648309327211
0.95116.3750987893080.182657464609724
0.96116.433994850580.138020016057047
0.97116.4841314607940.100171396171849
0.98116.526391668640.0773934717884916
0.99116.5597297937530.0734429809472957

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 105.127452223173 & 0.712338434942239 \tabularnewline
0.02 & 105.428476501271 & 0.672857795011075 \tabularnewline
0.03 & 105.750374963548 & 0.611352896251711 \tabularnewline
0.04 & 106.038546482491 & 0.526126999638899 \tabularnewline
0.05 & 106.272929346897 & 0.433053310260968 \tabularnewline
0.06 & 106.45497887227 & 0.351562398567252 \tabularnewline
0.07 & 106.594977186106 & 0.292220335004408 \tabularnewline
0.08 & 106.70469260924 & 0.255496731024962 \tabularnewline
0.09 & 106.79425082498 & 0.236560647727265 \tabularnewline
0.1 & 106.87133843269 & 0.230352474797854 \tabularnewline
0.11 & 106.941482526968 & 0.233625036195601 \tabularnewline
0.12 & 107.008701610855 & 0.245644973364288 \tabularnewline
0.13 & 107.076157114548 & 0.267353270374774 \tabularnewline
0.14 & 107.146633554222 & 0.300686350478318 \tabularnewline
0.15 & 107.222790713418 & 0.347552984220542 \tabularnewline
0.16 & 107.307194363419 & 0.407932712490874 \tabularnewline
0.17 & 107.402168290324 & 0.480196808300144 \tabularnewline
0.18 & 107.509534618108 & 0.560405481767175 \tabularnewline
0.19 & 107.630324196595 & 0.643070890758512 \tabularnewline
0.2 & 107.764540290611 & 0.721711456946235 \tabularnewline
0.21 & 107.911043993768 & 0.789843425752543 \tabularnewline
0.22 & 108.067600676327 & 0.841789877726987 \tabularnewline
0.23 & 108.231090209762 & 0.873576316164991 \tabularnewline
0.24 & 108.397848772421 & 0.883269797010349 \tabularnewline
0.25 & 108.564084836029 & 0.871826725445948 \tabularnewline
0.26 & 108.726301227539 & 0.841880632736596 \tabularnewline
0.27 & 108.881659492711 & 0.798200815378466 \tabularnewline
0.28 & 109.02823899764 & 0.746569113365633 \tabularnewline
0.29 & 109.165165911225 & 0.693239401194602 \tabularnewline
0.3 & 109.292610592255 & 0.644373508910768 \tabularnewline
0.31 & 109.41167120883 & 0.605432307288613 \tabularnewline
0.32 & 109.524173862373 & 0.580264577009993 \tabularnewline
0.33 & 109.632424438395 & 0.571421013378612 \tabularnewline
0.34 & 109.738945969577 & 0.579166611805064 \tabularnewline
0.35 & 109.846229590114 & 0.602153848990233 \tabularnewline
0.36 & 109.956519521 & 0.637514096845169 \tabularnewline
0.37 & 110.071644890853 & 0.681484992420352 \tabularnewline
0.38 & 110.192904761041 & 0.730351681567743 \tabularnewline
0.39 & 110.321007893668 & 0.780198163216669 \tabularnewline
0.4 & 110.456065374153 & 0.827507965266813 \tabularnewline
0.41 & 110.597631665039 & 0.868923195748334 \tabularnewline
0.42 & 110.744787508995 & 0.902254775084783 \tabularnewline
0.43 & 110.896256019657 & 0.925463458380119 \tabularnewline
0.44 & 111.050541310523 & 0.938063716023365 \tabularnewline
0.45 & 111.206077390973 & 0.939853497764398 \tabularnewline
0.46 & 111.361374205857 & 0.93205684200728 \tabularnewline
0.47 & 111.515147962934 & 0.916479678551891 \tabularnewline
0.48 & 111.666424439561 & 0.895346311887644 \tabularnewline
0.49 & 111.814606685102 & 0.871411236526964 \tabularnewline
0.5 & 111.959502103022 & 0.847587560156406 \tabularnewline
0.51 & 112.101307836408 & 0.826500081144634 \tabularnewline
0.52 & 112.240557217557 & 0.810056088587068 \tabularnewline
0.53 & 112.378033406137 & 0.799999644777009 \tabularnewline
0.54 & 112.514659017206 & 0.796755874638956 \tabularnewline
0.55 & 112.651372453266 & 0.80012154984391 \tabularnewline
0.56 & 112.789002793716 & 0.808879966024359 \tabularnewline
0.57 & 112.928155435265 & 0.821088855817682 \tabularnewline
0.58 & 113.069120127138 & 0.83417731969698 \tabularnewline
0.59 & 113.211811461129 & 0.845621692489263 \tabularnewline
0.6 & 113.355749137673 & 0.852534754552187 \tabularnewline
0.61 & 113.500081450212 & 0.852617053958001 \tabularnewline
0.62 & 113.643650663111 & 0.844147067885009 \tabularnewline
0.63 & 113.785093831304 & 0.826172452998266 \tabularnewline
0.64 & 113.922967873261 & 0.798498481929248 \tabularnewline
0.65 & 114.055884191685 & 0.761913575041783 \tabularnewline
0.66 & 114.182636549281 & 0.718062730413493 \tabularnewline
0.67 & 114.302306652451 & 0.668959043404245 \tabularnewline
0.68 & 114.414334948987 & 0.61721751615822 \tabularnewline
0.69 & 114.518549044584 & 0.565401961309865 \tabularnewline
0.7 & 114.615148091331 & 0.515890834606213 \tabularnewline
0.71 & 114.70464754954 & 0.470591258504762 \tabularnewline
0.72 & 114.787793966556 & 0.430897558282539 \tabularnewline
0.73 & 114.865463146977 & 0.397443689339638 \tabularnewline
0.74 & 114.938556882436 & 0.370078633470388 \tabularnewline
0.75 & 115.007913126581 & 0.347879387846282 \tabularnewline
0.76 & 115.074242249412 & 0.329789631401814 \tabularnewline
0.77 & 115.138098091655 & 0.314381332294287 \tabularnewline
0.78 & 115.199887432328 & 0.3005633400622 \tabularnewline
0.79 & 115.259915769371 & 0.287369361507563 \tabularnewline
0.8 & 115.318461630103 & 0.274680116338803 \tabularnewline
0.81 & 115.375866544166 & 0.262714937424977 \tabularnewline
0.82 & 115.43262371599 & 0.252324083184731 \tabularnewline
0.83 & 115.489445535581 & 0.244710559577387 \tabularnewline
0.84 & 115.54728862009 & 0.241216585031492 \tabularnewline
0.85 & 115.607315848285 & 0.242986709255195 \tabularnewline
0.86 & 115.670779571245 & 0.250373934351238 \tabularnewline
0.87 & 115.73882148077 & 0.262657986610643 \tabularnewline
0.88 & 115.812204742075 & 0.27769680502198 \tabularnewline
0.89 & 115.891022198699 & 0.292043925998066 \tabularnewline
0.9 & 115.974454082363 & 0.301460840731324 \tabularnewline
0.91 & 116.060666634681 & 0.301528262853217 \tabularnewline
0.92 & 116.14693460164 & 0.289274867209308 \tabularnewline
0.93 & 116.230028429644 & 0.263672550728192 \tabularnewline
0.94 & 116.30683644062 & 0.226648309327211 \tabularnewline
0.95 & 116.375098789308 & 0.182657464609724 \tabularnewline
0.96 & 116.43399485058 & 0.138020016057047 \tabularnewline
0.97 & 116.484131460794 & 0.100171396171849 \tabularnewline
0.98 & 116.52639166864 & 0.0773934717884916 \tabularnewline
0.99 & 116.559729793753 & 0.0734429809472957 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282248&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]105.127452223173[/C][C]0.712338434942239[/C][/ROW]
[ROW][C]0.02[/C][C]105.428476501271[/C][C]0.672857795011075[/C][/ROW]
[ROW][C]0.03[/C][C]105.750374963548[/C][C]0.611352896251711[/C][/ROW]
[ROW][C]0.04[/C][C]106.038546482491[/C][C]0.526126999638899[/C][/ROW]
[ROW][C]0.05[/C][C]106.272929346897[/C][C]0.433053310260968[/C][/ROW]
[ROW][C]0.06[/C][C]106.45497887227[/C][C]0.351562398567252[/C][/ROW]
[ROW][C]0.07[/C][C]106.594977186106[/C][C]0.292220335004408[/C][/ROW]
[ROW][C]0.08[/C][C]106.70469260924[/C][C]0.255496731024962[/C][/ROW]
[ROW][C]0.09[/C][C]106.79425082498[/C][C]0.236560647727265[/C][/ROW]
[ROW][C]0.1[/C][C]106.87133843269[/C][C]0.230352474797854[/C][/ROW]
[ROW][C]0.11[/C][C]106.941482526968[/C][C]0.233625036195601[/C][/ROW]
[ROW][C]0.12[/C][C]107.008701610855[/C][C]0.245644973364288[/C][/ROW]
[ROW][C]0.13[/C][C]107.076157114548[/C][C]0.267353270374774[/C][/ROW]
[ROW][C]0.14[/C][C]107.146633554222[/C][C]0.300686350478318[/C][/ROW]
[ROW][C]0.15[/C][C]107.222790713418[/C][C]0.347552984220542[/C][/ROW]
[ROW][C]0.16[/C][C]107.307194363419[/C][C]0.407932712490874[/C][/ROW]
[ROW][C]0.17[/C][C]107.402168290324[/C][C]0.480196808300144[/C][/ROW]
[ROW][C]0.18[/C][C]107.509534618108[/C][C]0.560405481767175[/C][/ROW]
[ROW][C]0.19[/C][C]107.630324196595[/C][C]0.643070890758512[/C][/ROW]
[ROW][C]0.2[/C][C]107.764540290611[/C][C]0.721711456946235[/C][/ROW]
[ROW][C]0.21[/C][C]107.911043993768[/C][C]0.789843425752543[/C][/ROW]
[ROW][C]0.22[/C][C]108.067600676327[/C][C]0.841789877726987[/C][/ROW]
[ROW][C]0.23[/C][C]108.231090209762[/C][C]0.873576316164991[/C][/ROW]
[ROW][C]0.24[/C][C]108.397848772421[/C][C]0.883269797010349[/C][/ROW]
[ROW][C]0.25[/C][C]108.564084836029[/C][C]0.871826725445948[/C][/ROW]
[ROW][C]0.26[/C][C]108.726301227539[/C][C]0.841880632736596[/C][/ROW]
[ROW][C]0.27[/C][C]108.881659492711[/C][C]0.798200815378466[/C][/ROW]
[ROW][C]0.28[/C][C]109.02823899764[/C][C]0.746569113365633[/C][/ROW]
[ROW][C]0.29[/C][C]109.165165911225[/C][C]0.693239401194602[/C][/ROW]
[ROW][C]0.3[/C][C]109.292610592255[/C][C]0.644373508910768[/C][/ROW]
[ROW][C]0.31[/C][C]109.41167120883[/C][C]0.605432307288613[/C][/ROW]
[ROW][C]0.32[/C][C]109.524173862373[/C][C]0.580264577009993[/C][/ROW]
[ROW][C]0.33[/C][C]109.632424438395[/C][C]0.571421013378612[/C][/ROW]
[ROW][C]0.34[/C][C]109.738945969577[/C][C]0.579166611805064[/C][/ROW]
[ROW][C]0.35[/C][C]109.846229590114[/C][C]0.602153848990233[/C][/ROW]
[ROW][C]0.36[/C][C]109.956519521[/C][C]0.637514096845169[/C][/ROW]
[ROW][C]0.37[/C][C]110.071644890853[/C][C]0.681484992420352[/C][/ROW]
[ROW][C]0.38[/C][C]110.192904761041[/C][C]0.730351681567743[/C][/ROW]
[ROW][C]0.39[/C][C]110.321007893668[/C][C]0.780198163216669[/C][/ROW]
[ROW][C]0.4[/C][C]110.456065374153[/C][C]0.827507965266813[/C][/ROW]
[ROW][C]0.41[/C][C]110.597631665039[/C][C]0.868923195748334[/C][/ROW]
[ROW][C]0.42[/C][C]110.744787508995[/C][C]0.902254775084783[/C][/ROW]
[ROW][C]0.43[/C][C]110.896256019657[/C][C]0.925463458380119[/C][/ROW]
[ROW][C]0.44[/C][C]111.050541310523[/C][C]0.938063716023365[/C][/ROW]
[ROW][C]0.45[/C][C]111.206077390973[/C][C]0.939853497764398[/C][/ROW]
[ROW][C]0.46[/C][C]111.361374205857[/C][C]0.93205684200728[/C][/ROW]
[ROW][C]0.47[/C][C]111.515147962934[/C][C]0.916479678551891[/C][/ROW]
[ROW][C]0.48[/C][C]111.666424439561[/C][C]0.895346311887644[/C][/ROW]
[ROW][C]0.49[/C][C]111.814606685102[/C][C]0.871411236526964[/C][/ROW]
[ROW][C]0.5[/C][C]111.959502103022[/C][C]0.847587560156406[/C][/ROW]
[ROW][C]0.51[/C][C]112.101307836408[/C][C]0.826500081144634[/C][/ROW]
[ROW][C]0.52[/C][C]112.240557217557[/C][C]0.810056088587068[/C][/ROW]
[ROW][C]0.53[/C][C]112.378033406137[/C][C]0.799999644777009[/C][/ROW]
[ROW][C]0.54[/C][C]112.514659017206[/C][C]0.796755874638956[/C][/ROW]
[ROW][C]0.55[/C][C]112.651372453266[/C][C]0.80012154984391[/C][/ROW]
[ROW][C]0.56[/C][C]112.789002793716[/C][C]0.808879966024359[/C][/ROW]
[ROW][C]0.57[/C][C]112.928155435265[/C][C]0.821088855817682[/C][/ROW]
[ROW][C]0.58[/C][C]113.069120127138[/C][C]0.83417731969698[/C][/ROW]
[ROW][C]0.59[/C][C]113.211811461129[/C][C]0.845621692489263[/C][/ROW]
[ROW][C]0.6[/C][C]113.355749137673[/C][C]0.852534754552187[/C][/ROW]
[ROW][C]0.61[/C][C]113.500081450212[/C][C]0.852617053958001[/C][/ROW]
[ROW][C]0.62[/C][C]113.643650663111[/C][C]0.844147067885009[/C][/ROW]
[ROW][C]0.63[/C][C]113.785093831304[/C][C]0.826172452998266[/C][/ROW]
[ROW][C]0.64[/C][C]113.922967873261[/C][C]0.798498481929248[/C][/ROW]
[ROW][C]0.65[/C][C]114.055884191685[/C][C]0.761913575041783[/C][/ROW]
[ROW][C]0.66[/C][C]114.182636549281[/C][C]0.718062730413493[/C][/ROW]
[ROW][C]0.67[/C][C]114.302306652451[/C][C]0.668959043404245[/C][/ROW]
[ROW][C]0.68[/C][C]114.414334948987[/C][C]0.61721751615822[/C][/ROW]
[ROW][C]0.69[/C][C]114.518549044584[/C][C]0.565401961309865[/C][/ROW]
[ROW][C]0.7[/C][C]114.615148091331[/C][C]0.515890834606213[/C][/ROW]
[ROW][C]0.71[/C][C]114.70464754954[/C][C]0.470591258504762[/C][/ROW]
[ROW][C]0.72[/C][C]114.787793966556[/C][C]0.430897558282539[/C][/ROW]
[ROW][C]0.73[/C][C]114.865463146977[/C][C]0.397443689339638[/C][/ROW]
[ROW][C]0.74[/C][C]114.938556882436[/C][C]0.370078633470388[/C][/ROW]
[ROW][C]0.75[/C][C]115.007913126581[/C][C]0.347879387846282[/C][/ROW]
[ROW][C]0.76[/C][C]115.074242249412[/C][C]0.329789631401814[/C][/ROW]
[ROW][C]0.77[/C][C]115.138098091655[/C][C]0.314381332294287[/C][/ROW]
[ROW][C]0.78[/C][C]115.199887432328[/C][C]0.3005633400622[/C][/ROW]
[ROW][C]0.79[/C][C]115.259915769371[/C][C]0.287369361507563[/C][/ROW]
[ROW][C]0.8[/C][C]115.318461630103[/C][C]0.274680116338803[/C][/ROW]
[ROW][C]0.81[/C][C]115.375866544166[/C][C]0.262714937424977[/C][/ROW]
[ROW][C]0.82[/C][C]115.43262371599[/C][C]0.252324083184731[/C][/ROW]
[ROW][C]0.83[/C][C]115.489445535581[/C][C]0.244710559577387[/C][/ROW]
[ROW][C]0.84[/C][C]115.54728862009[/C][C]0.241216585031492[/C][/ROW]
[ROW][C]0.85[/C][C]115.607315848285[/C][C]0.242986709255195[/C][/ROW]
[ROW][C]0.86[/C][C]115.670779571245[/C][C]0.250373934351238[/C][/ROW]
[ROW][C]0.87[/C][C]115.73882148077[/C][C]0.262657986610643[/C][/ROW]
[ROW][C]0.88[/C][C]115.812204742075[/C][C]0.27769680502198[/C][/ROW]
[ROW][C]0.89[/C][C]115.891022198699[/C][C]0.292043925998066[/C][/ROW]
[ROW][C]0.9[/C][C]115.974454082363[/C][C]0.301460840731324[/C][/ROW]
[ROW][C]0.91[/C][C]116.060666634681[/C][C]0.301528262853217[/C][/ROW]
[ROW][C]0.92[/C][C]116.14693460164[/C][C]0.289274867209308[/C][/ROW]
[ROW][C]0.93[/C][C]116.230028429644[/C][C]0.263672550728192[/C][/ROW]
[ROW][C]0.94[/C][C]116.30683644062[/C][C]0.226648309327211[/C][/ROW]
[ROW][C]0.95[/C][C]116.375098789308[/C][C]0.182657464609724[/C][/ROW]
[ROW][C]0.96[/C][C]116.43399485058[/C][C]0.138020016057047[/C][/ROW]
[ROW][C]0.97[/C][C]116.484131460794[/C][C]0.100171396171849[/C][/ROW]
[ROW][C]0.98[/C][C]116.52639166864[/C][C]0.0773934717884916[/C][/ROW]
[ROW][C]0.99[/C][C]116.559729793753[/C][C]0.0734429809472957[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282248&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282248&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.01105.1274522231730.712338434942239
0.02105.4284765012710.672857795011075
0.03105.7503749635480.611352896251711
0.04106.0385464824910.526126999638899
0.05106.2729293468970.433053310260968
0.06106.454978872270.351562398567252
0.07106.5949771861060.292220335004408
0.08106.704692609240.255496731024962
0.09106.794250824980.236560647727265
0.1106.871338432690.230352474797854
0.11106.9414825269680.233625036195601
0.12107.0087016108550.245644973364288
0.13107.0761571145480.267353270374774
0.14107.1466335542220.300686350478318
0.15107.2227907134180.347552984220542
0.16107.3071943634190.407932712490874
0.17107.4021682903240.480196808300144
0.18107.5095346181080.560405481767175
0.19107.6303241965950.643070890758512
0.2107.7645402906110.721711456946235
0.21107.9110439937680.789843425752543
0.22108.0676006763270.841789877726987
0.23108.2310902097620.873576316164991
0.24108.3978487724210.883269797010349
0.25108.5640848360290.871826725445948
0.26108.7263012275390.841880632736596
0.27108.8816594927110.798200815378466
0.28109.028238997640.746569113365633
0.29109.1651659112250.693239401194602
0.3109.2926105922550.644373508910768
0.31109.411671208830.605432307288613
0.32109.5241738623730.580264577009993
0.33109.6324244383950.571421013378612
0.34109.7389459695770.579166611805064
0.35109.8462295901140.602153848990233
0.36109.9565195210.637514096845169
0.37110.0716448908530.681484992420352
0.38110.1929047610410.730351681567743
0.39110.3210078936680.780198163216669
0.4110.4560653741530.827507965266813
0.41110.5976316650390.868923195748334
0.42110.7447875089950.902254775084783
0.43110.8962560196570.925463458380119
0.44111.0505413105230.938063716023365
0.45111.2060773909730.939853497764398
0.46111.3613742058570.93205684200728
0.47111.5151479629340.916479678551891
0.48111.6664244395610.895346311887644
0.49111.8146066851020.871411236526964
0.5111.9595021030220.847587560156406
0.51112.1013078364080.826500081144634
0.52112.2405572175570.810056088587068
0.53112.3780334061370.799999644777009
0.54112.5146590172060.796755874638956
0.55112.6513724532660.80012154984391
0.56112.7890027937160.808879966024359
0.57112.9281554352650.821088855817682
0.58113.0691201271380.83417731969698
0.59113.2118114611290.845621692489263
0.6113.3557491376730.852534754552187
0.61113.5000814502120.852617053958001
0.62113.6436506631110.844147067885009
0.63113.7850938313040.826172452998266
0.64113.9229678732610.798498481929248
0.65114.0558841916850.761913575041783
0.66114.1826365492810.718062730413493
0.67114.3023066524510.668959043404245
0.68114.4143349489870.61721751615822
0.69114.5185490445840.565401961309865
0.7114.6151480913310.515890834606213
0.71114.704647549540.470591258504762
0.72114.7877939665560.430897558282539
0.73114.8654631469770.397443689339638
0.74114.9385568824360.370078633470388
0.75115.0079131265810.347879387846282
0.76115.0742422494120.329789631401814
0.77115.1380980916550.314381332294287
0.78115.1998874323280.3005633400622
0.79115.2599157693710.287369361507563
0.8115.3184616301030.274680116338803
0.81115.3758665441660.262714937424977
0.82115.432623715990.252324083184731
0.83115.4894455355810.244710559577387
0.84115.547288620090.241216585031492
0.85115.6073158482850.242986709255195
0.86115.6707795712450.250373934351238
0.87115.738821480770.262657986610643
0.88115.8122047420750.27769680502198
0.89115.8910221986990.292043925998066
0.9115.9744540823630.301460840731324
0.91116.0606666346810.301528262853217
0.92116.146934601640.289274867209308
0.93116.2300284296440.263672550728192
0.94116.306836440620.226648309327211
0.95116.3750987893080.182657464609724
0.96116.433994850580.138020016057047
0.97116.4841314607940.100171396171849
0.98116.526391668640.0773934717884916
0.99116.5597297937530.0734429809472957


Figures (Output of Computation)

Input Parameters & R Code

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')