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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 computationSun, 02 Aug 2009 06:44:21 -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/Aug/02/t124921713245a2h0hfdsj2s6k.htm/, Retrieved Thu, 02 May 2024 17:16:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42442, Retrieved Thu, 02 May 2024 17:16:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsRoze Garnalen
Estimated Impact246

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Vermeulennickopga...] [2009-08-02 12:44:21] [2c8a5cc66f27790b8fc8930915f8068b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106.61
107.86
108.07
109.68
108.57
108.08
109.8
110.7
110.72
109.85
109.71
110
110.87
111.16
110.63
110.26
110.79
111.75
111.75
112.31
112.29
111.86
111.22
112.42
111.94
112.77
113.99
114.22
112.38
114.98
115.94
117.63
117.76
118.11
120.88
121.87
122.34
122.42
122.17
121.99
124.96
125.94
126.59
127.11
125.44
125.53
125.35
124.3
123.62
124
124.47
126.89
124.87
124.55
125.31
126.02
125.31
125.3
123.83
124.49
124.92
125.77
127.27
127.35
126.05
126.84
127.75
126.78
126.98
127.89
127.9
128.06
125.39
128.13
127.97
127.56
126.89
127.8
128.05
128.98
128.55
129.35
129.97
130.89
129.8
132.32
131.1
131.44
132.55
133.35
132.53
131.11
130.02
128.91
129.98
130.91

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42442&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42442&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42442&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01107.0920445027030.879881554776174
0.02107.6695045410520.567827818950187
0.03108.1211809369550.555596636004756
0.04108.4946037859980.669773145301324
0.05108.8472661857200.72418689585598
0.06109.1794080589360.684359151174424
0.07109.4721959958720.595651573556108
0.08109.7180923943350.515100354249354
0.09109.9242850326640.470760475705947
0.1110.1039283337370.457578952479092
0.11110.2683442632370.458088480717849
0.12110.4244207833380.462018180308505
0.13110.5756994263530.467941424016697
0.14110.7243664076500.479456191420975
0.15110.8724841192820.498900585444098
0.16111.0222260232680.526280761743042
0.17111.1756431046290.559219745139614
0.18111.3345505558970.596662499570037
0.19111.5008129791910.64050702612117
0.2111.6769578682830.696814227060728
0.21111.8668437774190.774927175667064
0.22112.0760851937180.884798044104952
0.23112.3120366306441.03414741617240
0.24112.5832864584691.22667380609209
0.25112.8987454211791.46033321057899
0.26113.2665031359241.72794080010587
0.27113.6926598507002.01734456655414
0.28114.1803273861092.31313553048480
0.29114.7289473793792.59788976314054
0.3115.3340138732192.85368003726983
0.31115.9872257929853.06390060141564
0.32116.6770418623453.21534662530718
0.33117.3895681491583.29895132385504
0.34118.1096747180513.31075672699364
0.35118.8222115014523.25264472107909
0.36119.5131775912833.1320516729108
0.37120.1706999347172.96019941528701
0.38120.7857037690972.75132737353514
0.39121.3522086162572.52035991327276
0.4121.8672511078942.28136137371901
0.41122.3305022217812.04584687412312
0.42122.7436931204001.82191941276391
0.43123.1099785529141.61511126898318
0.44123.4333489887081.42729372376549
0.45123.7181626650631.25934962159371
0.46123.9688227742821.11082706542357
0.47124.1895879795110.980751167375764
0.48124.3844843790950.868070372604182
0.49124.5572835665300.771997449715342
0.5124.7115181605670.691506229779435
0.51124.8505151411220.625855272963412
0.52124.977433019650.574630975566086
0.53125.0952901187070.537159810732353
0.54125.2069705149530.513196892161366
0.55125.3151953691420.50203512620883
0.56125.4224531820.502708743942286
0.57125.5308931284220.513030346904197
0.58125.6421985023150.53047617220503
0.59125.7574683141750.551599653619882
0.6125.8771400703730.573005574935283
0.61126.0009830137300.590796599923595
0.62126.1281782806510.602645532067698
0.63126.2574828604990.606882008042303
0.64126.3874525897380.603161478357855
0.65126.5166817218700.591983466888755
0.66126.6440088000120.57584675190541
0.67126.7686445415770.55646313375445
0.68126.8901974275400.536415204346084
0.69127.0086022997410.517351617644207
0.7127.1239881773790.499737317345432
0.71127.2365436426150.483355895359991
0.72127.3464429654670.467500285910731
0.73127.4538797484280.451730280468447
0.74127.5592198698400.436569408999627
0.75127.6632407869770.423904564691808
0.76127.7673828570950.417038747589177
0.77127.8739139926570.420200596823000
0.78127.9859123930850.43684845876801
0.79128.1070077169230.468822100984181
0.8128.2408849024440.514771795676028
0.81128.3906339418080.569873191526864
0.82128.5581022607540.627527550665929
0.83128.7434471856280.6796398814394
0.84128.9450659226290.719306332261321
0.85129.1599790229570.742175533643745
0.86129.3845679715790.747787904669867
0.87129.6153826288370.739040489897267
0.88129.8496725888440.720855265981837
0.89130.0855021823790.696981329325460
0.9130.3217760986400.668156684663579
0.91130.5588835521410.635195216217017
0.92130.8002949789580.604850059993289
0.93131.0538814595710.593022272842318
0.94131.3298887149930.61118160023111
0.95131.6334938565720.638920583962406
0.96131.9573719473550.622235748169645
0.97132.2901897132710.528220635273465
0.98132.6448778757550.442514760962324
0.99133.0398659098790.567720557635033

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 107.092044502703 & 0.879881554776174 \tabularnewline
0.02 & 107.669504541052 & 0.567827818950187 \tabularnewline
0.03 & 108.121180936955 & 0.555596636004756 \tabularnewline
0.04 & 108.494603785998 & 0.669773145301324 \tabularnewline
0.05 & 108.847266185720 & 0.72418689585598 \tabularnewline
0.06 & 109.179408058936 & 0.684359151174424 \tabularnewline
0.07 & 109.472195995872 & 0.595651573556108 \tabularnewline
0.08 & 109.718092394335 & 0.515100354249354 \tabularnewline
0.09 & 109.924285032664 & 0.470760475705947 \tabularnewline
0.1 & 110.103928333737 & 0.457578952479092 \tabularnewline
0.11 & 110.268344263237 & 0.458088480717849 \tabularnewline
0.12 & 110.424420783338 & 0.462018180308505 \tabularnewline
0.13 & 110.575699426353 & 0.467941424016697 \tabularnewline
0.14 & 110.724366407650 & 0.479456191420975 \tabularnewline
0.15 & 110.872484119282 & 0.498900585444098 \tabularnewline
0.16 & 111.022226023268 & 0.526280761743042 \tabularnewline
0.17 & 111.175643104629 & 0.559219745139614 \tabularnewline
0.18 & 111.334550555897 & 0.596662499570037 \tabularnewline
0.19 & 111.500812979191 & 0.64050702612117 \tabularnewline
0.2 & 111.676957868283 & 0.696814227060728 \tabularnewline
0.21 & 111.866843777419 & 0.774927175667064 \tabularnewline
0.22 & 112.076085193718 & 0.884798044104952 \tabularnewline
0.23 & 112.312036630644 & 1.03414741617240 \tabularnewline
0.24 & 112.583286458469 & 1.22667380609209 \tabularnewline
0.25 & 112.898745421179 & 1.46033321057899 \tabularnewline
0.26 & 113.266503135924 & 1.72794080010587 \tabularnewline
0.27 & 113.692659850700 & 2.01734456655414 \tabularnewline
0.28 & 114.180327386109 & 2.31313553048480 \tabularnewline
0.29 & 114.728947379379 & 2.59788976314054 \tabularnewline
0.3 & 115.334013873219 & 2.85368003726983 \tabularnewline
0.31 & 115.987225792985 & 3.06390060141564 \tabularnewline
0.32 & 116.677041862345 & 3.21534662530718 \tabularnewline
0.33 & 117.389568149158 & 3.29895132385504 \tabularnewline
0.34 & 118.109674718051 & 3.31075672699364 \tabularnewline
0.35 & 118.822211501452 & 3.25264472107909 \tabularnewline
0.36 & 119.513177591283 & 3.1320516729108 \tabularnewline
0.37 & 120.170699934717 & 2.96019941528701 \tabularnewline
0.38 & 120.785703769097 & 2.75132737353514 \tabularnewline
0.39 & 121.352208616257 & 2.52035991327276 \tabularnewline
0.4 & 121.867251107894 & 2.28136137371901 \tabularnewline
0.41 & 122.330502221781 & 2.04584687412312 \tabularnewline
0.42 & 122.743693120400 & 1.82191941276391 \tabularnewline
0.43 & 123.109978552914 & 1.61511126898318 \tabularnewline
0.44 & 123.433348988708 & 1.42729372376549 \tabularnewline
0.45 & 123.718162665063 & 1.25934962159371 \tabularnewline
0.46 & 123.968822774282 & 1.11082706542357 \tabularnewline
0.47 & 124.189587979511 & 0.980751167375764 \tabularnewline
0.48 & 124.384484379095 & 0.868070372604182 \tabularnewline
0.49 & 124.557283566530 & 0.771997449715342 \tabularnewline
0.5 & 124.711518160567 & 0.691506229779435 \tabularnewline
0.51 & 124.850515141122 & 0.625855272963412 \tabularnewline
0.52 & 124.97743301965 & 0.574630975566086 \tabularnewline
0.53 & 125.095290118707 & 0.537159810732353 \tabularnewline
0.54 & 125.206970514953 & 0.513196892161366 \tabularnewline
0.55 & 125.315195369142 & 0.50203512620883 \tabularnewline
0.56 & 125.422453182 & 0.502708743942286 \tabularnewline
0.57 & 125.530893128422 & 0.513030346904197 \tabularnewline
0.58 & 125.642198502315 & 0.53047617220503 \tabularnewline
0.59 & 125.757468314175 & 0.551599653619882 \tabularnewline
0.6 & 125.877140070373 & 0.573005574935283 \tabularnewline
0.61 & 126.000983013730 & 0.590796599923595 \tabularnewline
0.62 & 126.128178280651 & 0.602645532067698 \tabularnewline
0.63 & 126.257482860499 & 0.606882008042303 \tabularnewline
0.64 & 126.387452589738 & 0.603161478357855 \tabularnewline
0.65 & 126.516681721870 & 0.591983466888755 \tabularnewline
0.66 & 126.644008800012 & 0.57584675190541 \tabularnewline
0.67 & 126.768644541577 & 0.55646313375445 \tabularnewline
0.68 & 126.890197427540 & 0.536415204346084 \tabularnewline
0.69 & 127.008602299741 & 0.517351617644207 \tabularnewline
0.7 & 127.123988177379 & 0.499737317345432 \tabularnewline
0.71 & 127.236543642615 & 0.483355895359991 \tabularnewline
0.72 & 127.346442965467 & 0.467500285910731 \tabularnewline
0.73 & 127.453879748428 & 0.451730280468447 \tabularnewline
0.74 & 127.559219869840 & 0.436569408999627 \tabularnewline
0.75 & 127.663240786977 & 0.423904564691808 \tabularnewline
0.76 & 127.767382857095 & 0.417038747589177 \tabularnewline
0.77 & 127.873913992657 & 0.420200596823000 \tabularnewline
0.78 & 127.985912393085 & 0.43684845876801 \tabularnewline
0.79 & 128.107007716923 & 0.468822100984181 \tabularnewline
0.8 & 128.240884902444 & 0.514771795676028 \tabularnewline
0.81 & 128.390633941808 & 0.569873191526864 \tabularnewline
0.82 & 128.558102260754 & 0.627527550665929 \tabularnewline
0.83 & 128.743447185628 & 0.6796398814394 \tabularnewline
0.84 & 128.945065922629 & 0.719306332261321 \tabularnewline
0.85 & 129.159979022957 & 0.742175533643745 \tabularnewline
0.86 & 129.384567971579 & 0.747787904669867 \tabularnewline
0.87 & 129.615382628837 & 0.739040489897267 \tabularnewline
0.88 & 129.849672588844 & 0.720855265981837 \tabularnewline
0.89 & 130.085502182379 & 0.696981329325460 \tabularnewline
0.9 & 130.321776098640 & 0.668156684663579 \tabularnewline
0.91 & 130.558883552141 & 0.635195216217017 \tabularnewline
0.92 & 130.800294978958 & 0.604850059993289 \tabularnewline
0.93 & 131.053881459571 & 0.593022272842318 \tabularnewline
0.94 & 131.329888714993 & 0.61118160023111 \tabularnewline
0.95 & 131.633493856572 & 0.638920583962406 \tabularnewline
0.96 & 131.957371947355 & 0.622235748169645 \tabularnewline
0.97 & 132.290189713271 & 0.528220635273465 \tabularnewline
0.98 & 132.644877875755 & 0.442514760962324 \tabularnewline
0.99 & 133.039865909879 & 0.567720557635033 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42442&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]107.092044502703[/C][C]0.879881554776174[/C][/ROW]
[ROW][C]0.02[/C][C]107.669504541052[/C][C]0.567827818950187[/C][/ROW]
[ROW][C]0.03[/C][C]108.121180936955[/C][C]0.555596636004756[/C][/ROW]
[ROW][C]0.04[/C][C]108.494603785998[/C][C]0.669773145301324[/C][/ROW]
[ROW][C]0.05[/C][C]108.847266185720[/C][C]0.72418689585598[/C][/ROW]
[ROW][C]0.06[/C][C]109.179408058936[/C][C]0.684359151174424[/C][/ROW]
[ROW][C]0.07[/C][C]109.472195995872[/C][C]0.595651573556108[/C][/ROW]
[ROW][C]0.08[/C][C]109.718092394335[/C][C]0.515100354249354[/C][/ROW]
[ROW][C]0.09[/C][C]109.924285032664[/C][C]0.470760475705947[/C][/ROW]
[ROW][C]0.1[/C][C]110.103928333737[/C][C]0.457578952479092[/C][/ROW]
[ROW][C]0.11[/C][C]110.268344263237[/C][C]0.458088480717849[/C][/ROW]
[ROW][C]0.12[/C][C]110.424420783338[/C][C]0.462018180308505[/C][/ROW]
[ROW][C]0.13[/C][C]110.575699426353[/C][C]0.467941424016697[/C][/ROW]
[ROW][C]0.14[/C][C]110.724366407650[/C][C]0.479456191420975[/C][/ROW]
[ROW][C]0.15[/C][C]110.872484119282[/C][C]0.498900585444098[/C][/ROW]
[ROW][C]0.16[/C][C]111.022226023268[/C][C]0.526280761743042[/C][/ROW]
[ROW][C]0.17[/C][C]111.175643104629[/C][C]0.559219745139614[/C][/ROW]
[ROW][C]0.18[/C][C]111.334550555897[/C][C]0.596662499570037[/C][/ROW]
[ROW][C]0.19[/C][C]111.500812979191[/C][C]0.64050702612117[/C][/ROW]
[ROW][C]0.2[/C][C]111.676957868283[/C][C]0.696814227060728[/C][/ROW]
[ROW][C]0.21[/C][C]111.866843777419[/C][C]0.774927175667064[/C][/ROW]
[ROW][C]0.22[/C][C]112.076085193718[/C][C]0.884798044104952[/C][/ROW]
[ROW][C]0.23[/C][C]112.312036630644[/C][C]1.03414741617240[/C][/ROW]
[ROW][C]0.24[/C][C]112.583286458469[/C][C]1.22667380609209[/C][/ROW]
[ROW][C]0.25[/C][C]112.898745421179[/C][C]1.46033321057899[/C][/ROW]
[ROW][C]0.26[/C][C]113.266503135924[/C][C]1.72794080010587[/C][/ROW]
[ROW][C]0.27[/C][C]113.692659850700[/C][C]2.01734456655414[/C][/ROW]
[ROW][C]0.28[/C][C]114.180327386109[/C][C]2.31313553048480[/C][/ROW]
[ROW][C]0.29[/C][C]114.728947379379[/C][C]2.59788976314054[/C][/ROW]
[ROW][C]0.3[/C][C]115.334013873219[/C][C]2.85368003726983[/C][/ROW]
[ROW][C]0.31[/C][C]115.987225792985[/C][C]3.06390060141564[/C][/ROW]
[ROW][C]0.32[/C][C]116.677041862345[/C][C]3.21534662530718[/C][/ROW]
[ROW][C]0.33[/C][C]117.389568149158[/C][C]3.29895132385504[/C][/ROW]
[ROW][C]0.34[/C][C]118.109674718051[/C][C]3.31075672699364[/C][/ROW]
[ROW][C]0.35[/C][C]118.822211501452[/C][C]3.25264472107909[/C][/ROW]
[ROW][C]0.36[/C][C]119.513177591283[/C][C]3.1320516729108[/C][/ROW]
[ROW][C]0.37[/C][C]120.170699934717[/C][C]2.96019941528701[/C][/ROW]
[ROW][C]0.38[/C][C]120.785703769097[/C][C]2.75132737353514[/C][/ROW]
[ROW][C]0.39[/C][C]121.352208616257[/C][C]2.52035991327276[/C][/ROW]
[ROW][C]0.4[/C][C]121.867251107894[/C][C]2.28136137371901[/C][/ROW]
[ROW][C]0.41[/C][C]122.330502221781[/C][C]2.04584687412312[/C][/ROW]
[ROW][C]0.42[/C][C]122.743693120400[/C][C]1.82191941276391[/C][/ROW]
[ROW][C]0.43[/C][C]123.109978552914[/C][C]1.61511126898318[/C][/ROW]
[ROW][C]0.44[/C][C]123.433348988708[/C][C]1.42729372376549[/C][/ROW]
[ROW][C]0.45[/C][C]123.718162665063[/C][C]1.25934962159371[/C][/ROW]
[ROW][C]0.46[/C][C]123.968822774282[/C][C]1.11082706542357[/C][/ROW]
[ROW][C]0.47[/C][C]124.189587979511[/C][C]0.980751167375764[/C][/ROW]
[ROW][C]0.48[/C][C]124.384484379095[/C][C]0.868070372604182[/C][/ROW]
[ROW][C]0.49[/C][C]124.557283566530[/C][C]0.771997449715342[/C][/ROW]
[ROW][C]0.5[/C][C]124.711518160567[/C][C]0.691506229779435[/C][/ROW]
[ROW][C]0.51[/C][C]124.850515141122[/C][C]0.625855272963412[/C][/ROW]
[ROW][C]0.52[/C][C]124.97743301965[/C][C]0.574630975566086[/C][/ROW]
[ROW][C]0.53[/C][C]125.095290118707[/C][C]0.537159810732353[/C][/ROW]
[ROW][C]0.54[/C][C]125.206970514953[/C][C]0.513196892161366[/C][/ROW]
[ROW][C]0.55[/C][C]125.315195369142[/C][C]0.50203512620883[/C][/ROW]
[ROW][C]0.56[/C][C]125.422453182[/C][C]0.502708743942286[/C][/ROW]
[ROW][C]0.57[/C][C]125.530893128422[/C][C]0.513030346904197[/C][/ROW]
[ROW][C]0.58[/C][C]125.642198502315[/C][C]0.53047617220503[/C][/ROW]
[ROW][C]0.59[/C][C]125.757468314175[/C][C]0.551599653619882[/C][/ROW]
[ROW][C]0.6[/C][C]125.877140070373[/C][C]0.573005574935283[/C][/ROW]
[ROW][C]0.61[/C][C]126.000983013730[/C][C]0.590796599923595[/C][/ROW]
[ROW][C]0.62[/C][C]126.128178280651[/C][C]0.602645532067698[/C][/ROW]
[ROW][C]0.63[/C][C]126.257482860499[/C][C]0.606882008042303[/C][/ROW]
[ROW][C]0.64[/C][C]126.387452589738[/C][C]0.603161478357855[/C][/ROW]
[ROW][C]0.65[/C][C]126.516681721870[/C][C]0.591983466888755[/C][/ROW]
[ROW][C]0.66[/C][C]126.644008800012[/C][C]0.57584675190541[/C][/ROW]
[ROW][C]0.67[/C][C]126.768644541577[/C][C]0.55646313375445[/C][/ROW]
[ROW][C]0.68[/C][C]126.890197427540[/C][C]0.536415204346084[/C][/ROW]
[ROW][C]0.69[/C][C]127.008602299741[/C][C]0.517351617644207[/C][/ROW]
[ROW][C]0.7[/C][C]127.123988177379[/C][C]0.499737317345432[/C][/ROW]
[ROW][C]0.71[/C][C]127.236543642615[/C][C]0.483355895359991[/C][/ROW]
[ROW][C]0.72[/C][C]127.346442965467[/C][C]0.467500285910731[/C][/ROW]
[ROW][C]0.73[/C][C]127.453879748428[/C][C]0.451730280468447[/C][/ROW]
[ROW][C]0.74[/C][C]127.559219869840[/C][C]0.436569408999627[/C][/ROW]
[ROW][C]0.75[/C][C]127.663240786977[/C][C]0.423904564691808[/C][/ROW]
[ROW][C]0.76[/C][C]127.767382857095[/C][C]0.417038747589177[/C][/ROW]
[ROW][C]0.77[/C][C]127.873913992657[/C][C]0.420200596823000[/C][/ROW]
[ROW][C]0.78[/C][C]127.985912393085[/C][C]0.43684845876801[/C][/ROW]
[ROW][C]0.79[/C][C]128.107007716923[/C][C]0.468822100984181[/C][/ROW]
[ROW][C]0.8[/C][C]128.240884902444[/C][C]0.514771795676028[/C][/ROW]
[ROW][C]0.81[/C][C]128.390633941808[/C][C]0.569873191526864[/C][/ROW]
[ROW][C]0.82[/C][C]128.558102260754[/C][C]0.627527550665929[/C][/ROW]
[ROW][C]0.83[/C][C]128.743447185628[/C][C]0.6796398814394[/C][/ROW]
[ROW][C]0.84[/C][C]128.945065922629[/C][C]0.719306332261321[/C][/ROW]
[ROW][C]0.85[/C][C]129.159979022957[/C][C]0.742175533643745[/C][/ROW]
[ROW][C]0.86[/C][C]129.384567971579[/C][C]0.747787904669867[/C][/ROW]
[ROW][C]0.87[/C][C]129.615382628837[/C][C]0.739040489897267[/C][/ROW]
[ROW][C]0.88[/C][C]129.849672588844[/C][C]0.720855265981837[/C][/ROW]
[ROW][C]0.89[/C][C]130.085502182379[/C][C]0.696981329325460[/C][/ROW]
[ROW][C]0.9[/C][C]130.321776098640[/C][C]0.668156684663579[/C][/ROW]
[ROW][C]0.91[/C][C]130.558883552141[/C][C]0.635195216217017[/C][/ROW]
[ROW][C]0.92[/C][C]130.800294978958[/C][C]0.604850059993289[/C][/ROW]
[ROW][C]0.93[/C][C]131.053881459571[/C][C]0.593022272842318[/C][/ROW]
[ROW][C]0.94[/C][C]131.329888714993[/C][C]0.61118160023111[/C][/ROW]
[ROW][C]0.95[/C][C]131.633493856572[/C][C]0.638920583962406[/C][/ROW]
[ROW][C]0.96[/C][C]131.957371947355[/C][C]0.622235748169645[/C][/ROW]
[ROW][C]0.97[/C][C]132.290189713271[/C][C]0.528220635273465[/C][/ROW]
[ROW][C]0.98[/C][C]132.644877875755[/C][C]0.442514760962324[/C][/ROW]
[ROW][C]0.99[/C][C]133.039865909879[/C][C]0.567720557635033[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42442&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42442&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
0.01107.0920445027030.879881554776174
0.02107.6695045410520.567827818950187
0.03108.1211809369550.555596636004756
0.04108.4946037859980.669773145301324
0.05108.8472661857200.72418689585598
0.06109.1794080589360.684359151174424
0.07109.4721959958720.595651573556108
0.08109.7180923943350.515100354249354
0.09109.9242850326640.470760475705947
0.1110.1039283337370.457578952479092
0.11110.2683442632370.458088480717849
0.12110.4244207833380.462018180308505
0.13110.5756994263530.467941424016697
0.14110.7243664076500.479456191420975
0.15110.8724841192820.498900585444098
0.16111.0222260232680.526280761743042
0.17111.1756431046290.559219745139614
0.18111.3345505558970.596662499570037
0.19111.5008129791910.64050702612117
0.2111.6769578682830.696814227060728
0.21111.8668437774190.774927175667064
0.22112.0760851937180.884798044104952
0.23112.3120366306441.03414741617240
0.24112.5832864584691.22667380609209
0.25112.8987454211791.46033321057899
0.26113.2665031359241.72794080010587
0.27113.6926598507002.01734456655414
0.28114.1803273861092.31313553048480
0.29114.7289473793792.59788976314054
0.3115.3340138732192.85368003726983
0.31115.9872257929853.06390060141564
0.32116.6770418623453.21534662530718
0.33117.3895681491583.29895132385504
0.34118.1096747180513.31075672699364
0.35118.8222115014523.25264472107909
0.36119.5131775912833.1320516729108
0.37120.1706999347172.96019941528701
0.38120.7857037690972.75132737353514
0.39121.3522086162572.52035991327276
0.4121.8672511078942.28136137371901
0.41122.3305022217812.04584687412312
0.42122.7436931204001.82191941276391
0.43123.1099785529141.61511126898318
0.44123.4333489887081.42729372376549
0.45123.7181626650631.25934962159371
0.46123.9688227742821.11082706542357
0.47124.1895879795110.980751167375764
0.48124.3844843790950.868070372604182
0.49124.5572835665300.771997449715342
0.5124.7115181605670.691506229779435
0.51124.8505151411220.625855272963412
0.52124.977433019650.574630975566086
0.53125.0952901187070.537159810732353
0.54125.2069705149530.513196892161366
0.55125.3151953691420.50203512620883
0.56125.4224531820.502708743942286
0.57125.5308931284220.513030346904197
0.58125.6421985023150.53047617220503
0.59125.7574683141750.551599653619882
0.6125.8771400703730.573005574935283
0.61126.0009830137300.590796599923595
0.62126.1281782806510.602645532067698
0.63126.2574828604990.606882008042303
0.64126.3874525897380.603161478357855
0.65126.5166817218700.591983466888755
0.66126.6440088000120.57584675190541
0.67126.7686445415770.55646313375445
0.68126.8901974275400.536415204346084
0.69127.0086022997410.517351617644207
0.7127.1239881773790.499737317345432
0.71127.2365436426150.483355895359991
0.72127.3464429654670.467500285910731
0.73127.4538797484280.451730280468447
0.74127.5592198698400.436569408999627
0.75127.6632407869770.423904564691808
0.76127.7673828570950.417038747589177
0.77127.8739139926570.420200596823000
0.78127.9859123930850.43684845876801
0.79128.1070077169230.468822100984181
0.8128.2408849024440.514771795676028
0.81128.3906339418080.569873191526864
0.82128.5581022607540.627527550665929
0.83128.7434471856280.6796398814394
0.84128.9450659226290.719306332261321
0.85129.1599790229570.742175533643745
0.86129.3845679715790.747787904669867
0.87129.6153826288370.739040489897267
0.88129.8496725888440.720855265981837
0.89130.0855021823790.696981329325460
0.9130.3217760986400.668156684663579
0.91130.5588835521410.635195216217017
0.92130.8002949789580.604850059993289
0.93131.0538814595710.593022272842318
0.94131.3298887149930.61118160023111
0.95131.6334938565720.638920583962406
0.96131.9573719473550.622235748169645
0.97132.2901897132710.528220635273465
0.98132.6448778757550.442514760962324
0.99133.0398659098790.567720557635033


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')