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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 computationTue, 11 Oct 2011 13:22:31 -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/11/t1318353826dswr0m0ce5d2qbq.htm/, Retrieved Sat, 11 May 2024 22:56:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128167, Retrieved Sat, 11 May 2024 22:56:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact70

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] [oef 2 percentielen] [2011-10-11 17:22:31] [9bda411d6223d16f0472c7feaae49b5f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
113.25
104.54
132.78
122.99
133.14
125.83
122.99
125.7
148.47
120.75
136.7
139.17
123.47
112.76
137.99
139.75
140.22
121.6
132.33
130.34
149.05
130.47
139.29
146.55
137.79
122.95
139.51
155.77
143.95
125.07
142.35
144.34
145.87
156.01
146.74
156.45
152.29
122.56
154.59
149.68
118.75
109.22
104.19
107.33
114.07
107.92
103.53
117.3
112.09
95.08
123.28
121.98
121.74
119.93
113.31
117.19
141.13
130.18
127.47
148.33
131.24
119.99
146.49
142.98
140.65
131.15

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128167&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128167&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128167&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.04320336726376.65498755123677
0.0299.65039012736284.55908543275221
0.03101.9530873880772.98777942329602
0.04103.6663410411052.28999484329404
0.05104.9297172814212.24333229419335
0.06105.9621409370112.43456186657967
0.07106.9079885828822.63726309060992
0.08107.8273648795192.78043093133729
0.09108.7312413988382.85311483092585
0.1109.6120272072422.86501208204894
0.11110.4599508691922.8344240862639
0.12111.2694490023652.78516214254532
0.13112.0405032239962.74244841711461
0.14112.7776866439572.72572252855333
0.15113.4881755560982.74197682252011
0.16114.1794433798522.78375978886523
0.17114.8572288468132.83434643142553
0.18115.5242389197622.87366435792692
0.19116.1797963773622.88510725468426
0.2116.8203505507532.85869942393853
0.21117.4405533289742.79177989316332
0.22118.0345241206662.68798321392751
0.23118.5969786058092.5553179034655
0.24119.1240232347352.40374338584188
0.25119.613558140262.24346242599524
0.26120.0653400010952.0837306823447
0.27120.4808140316311.93226691515571
0.28120.8628334524581.7954098438013
0.29121.2153608275471.67802723063543
0.3121.543206879541.58433519290231
0.31121.8518239155331.51836099111944
0.32122.1471421229821.48356275941984
0.33122.4354214215241.48315977179812
0.34122.7230888602041.51889274433517
0.35123.0165389335941.59080508755566
0.36123.321887873221.69694742956735
0.37123.6446890898181.83287491906909
0.38123.9896320587791.99224357134756
0.39124.3602583037952.16686626253968
0.4124.7587338098252.34761814553838
0.41125.1857161412082.52523730012367
0.42125.6403466217422.69050081072191
0.43126.1203839257392.83570466861179
0.44126.6224769750492.9550981835045
0.45127.1425545546493.04570930922049
0.46127.6762895583473.10734690443154
0.47128.2195805385233.14293597668822
0.48128.7689853439793.158410639832
0.49129.3220433899773.16155313832755
0.5129.8774354458283.16063006103821
0.51130.434951869213.1637060155884
0.52130.9952691450593.1765803287968
0.53131.5595659261643.2017421242299
0.54132.1290380926533.23741664579429
0.55132.7043922693463.27826218394325
0.56133.2854045451723.31633305435073
0.57133.8706237315273.34190238318074
0.58134.4572769816043.34543443320882
0.59135.0414033124263.31947810050319
0.6135.6182030541123.25924063899331
0.61136.1825551672793.16402338659135
0.62136.729626207063.03725854937801
0.63137.2554794617552.88588188054265
0.64137.757592949212.72033900199903
0.65138.2352100560642.55221382136208
0.66138.6894734357422.39411427355037
0.67139.1233261407032.25729986410545
0.68139.5411978321152.15065303712334
0.69139.9485226988272.07956741939079
0.7140.3511553373212.04461040785054
0.71140.7547593528582.04231898883298
0.72141.1642411719032.06544673951046
0.73141.583290718622.1046933889451
0.74142.0140744758482.15010831071434
0.75142.4571083161892.19166380035798
0.76142.9113197070912.22135471198282
0.77143.3742923922722.23243695886642
0.78143.8426712541562.22116351749812
0.79144.3126907005472.18657259264429
0.8144.7807782437622.13051521644766
0.81145.2441801448472.05804710336482
0.82145.701563336091.97660168360221
0.83146.1535689640651.895464363219
0.84146.6033191473911.82505160100814
0.85147.0568863237141.77607218475377
0.86147.5236893518971.76011160303109
0.87148.0166551469191.78897913339982
0.88148.5517908404461.87334076994557
0.89149.1466323273082.01756048374072
0.9149.8170324844712.21175107602448
0.91150.5721212130972.424527836491
0.92151.4081255137982.60222127412636
0.93152.3029630474082.67718630160162
0.94153.2146288831182.58638424980905
0.95154.0864777743682.29732515079529
0.96154.8603828563361.83299995993553
0.97155.4936357036911.28242184665747
0.98155.9690027399270.787065918614253
0.99156.2872537469770.497100281850871

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.0432033672637 & 6.65498755123677 \tabularnewline
0.02 & 99.6503901273628 & 4.55908543275221 \tabularnewline
0.03 & 101.953087388077 & 2.98777942329602 \tabularnewline
0.04 & 103.666341041105 & 2.28999484329404 \tabularnewline
0.05 & 104.929717281421 & 2.24333229419335 \tabularnewline
0.06 & 105.962140937011 & 2.43456186657967 \tabularnewline
0.07 & 106.907988582882 & 2.63726309060992 \tabularnewline
0.08 & 107.827364879519 & 2.78043093133729 \tabularnewline
0.09 & 108.731241398838 & 2.85311483092585 \tabularnewline
0.1 & 109.612027207242 & 2.86501208204894 \tabularnewline
0.11 & 110.459950869192 & 2.8344240862639 \tabularnewline
0.12 & 111.269449002365 & 2.78516214254532 \tabularnewline
0.13 & 112.040503223996 & 2.74244841711461 \tabularnewline
0.14 & 112.777686643957 & 2.72572252855333 \tabularnewline
0.15 & 113.488175556098 & 2.74197682252011 \tabularnewline
0.16 & 114.179443379852 & 2.78375978886523 \tabularnewline
0.17 & 114.857228846813 & 2.83434643142553 \tabularnewline
0.18 & 115.524238919762 & 2.87366435792692 \tabularnewline
0.19 & 116.179796377362 & 2.88510725468426 \tabularnewline
0.2 & 116.820350550753 & 2.85869942393853 \tabularnewline
0.21 & 117.440553328974 & 2.79177989316332 \tabularnewline
0.22 & 118.034524120666 & 2.68798321392751 \tabularnewline
0.23 & 118.596978605809 & 2.5553179034655 \tabularnewline
0.24 & 119.124023234735 & 2.40374338584188 \tabularnewline
0.25 & 119.61355814026 & 2.24346242599524 \tabularnewline
0.26 & 120.065340001095 & 2.0837306823447 \tabularnewline
0.27 & 120.480814031631 & 1.93226691515571 \tabularnewline
0.28 & 120.862833452458 & 1.7954098438013 \tabularnewline
0.29 & 121.215360827547 & 1.67802723063543 \tabularnewline
0.3 & 121.54320687954 & 1.58433519290231 \tabularnewline
0.31 & 121.851823915533 & 1.51836099111944 \tabularnewline
0.32 & 122.147142122982 & 1.48356275941984 \tabularnewline
0.33 & 122.435421421524 & 1.48315977179812 \tabularnewline
0.34 & 122.723088860204 & 1.51889274433517 \tabularnewline
0.35 & 123.016538933594 & 1.59080508755566 \tabularnewline
0.36 & 123.32188787322 & 1.69694742956735 \tabularnewline
0.37 & 123.644689089818 & 1.83287491906909 \tabularnewline
0.38 & 123.989632058779 & 1.99224357134756 \tabularnewline
0.39 & 124.360258303795 & 2.16686626253968 \tabularnewline
0.4 & 124.758733809825 & 2.34761814553838 \tabularnewline
0.41 & 125.185716141208 & 2.52523730012367 \tabularnewline
0.42 & 125.640346621742 & 2.69050081072191 \tabularnewline
0.43 & 126.120383925739 & 2.83570466861179 \tabularnewline
0.44 & 126.622476975049 & 2.9550981835045 \tabularnewline
0.45 & 127.142554554649 & 3.04570930922049 \tabularnewline
0.46 & 127.676289558347 & 3.10734690443154 \tabularnewline
0.47 & 128.219580538523 & 3.14293597668822 \tabularnewline
0.48 & 128.768985343979 & 3.158410639832 \tabularnewline
0.49 & 129.322043389977 & 3.16155313832755 \tabularnewline
0.5 & 129.877435445828 & 3.16063006103821 \tabularnewline
0.51 & 130.43495186921 & 3.1637060155884 \tabularnewline
0.52 & 130.995269145059 & 3.1765803287968 \tabularnewline
0.53 & 131.559565926164 & 3.2017421242299 \tabularnewline
0.54 & 132.129038092653 & 3.23741664579429 \tabularnewline
0.55 & 132.704392269346 & 3.27826218394325 \tabularnewline
0.56 & 133.285404545172 & 3.31633305435073 \tabularnewline
0.57 & 133.870623731527 & 3.34190238318074 \tabularnewline
0.58 & 134.457276981604 & 3.34543443320882 \tabularnewline
0.59 & 135.041403312426 & 3.31947810050319 \tabularnewline
0.6 & 135.618203054112 & 3.25924063899331 \tabularnewline
0.61 & 136.182555167279 & 3.16402338659135 \tabularnewline
0.62 & 136.72962620706 & 3.03725854937801 \tabularnewline
0.63 & 137.255479461755 & 2.88588188054265 \tabularnewline
0.64 & 137.75759294921 & 2.72033900199903 \tabularnewline
0.65 & 138.235210056064 & 2.55221382136208 \tabularnewline
0.66 & 138.689473435742 & 2.39411427355037 \tabularnewline
0.67 & 139.123326140703 & 2.25729986410545 \tabularnewline
0.68 & 139.541197832115 & 2.15065303712334 \tabularnewline
0.69 & 139.948522698827 & 2.07956741939079 \tabularnewline
0.7 & 140.351155337321 & 2.04461040785054 \tabularnewline
0.71 & 140.754759352858 & 2.04231898883298 \tabularnewline
0.72 & 141.164241171903 & 2.06544673951046 \tabularnewline
0.73 & 141.58329071862 & 2.1046933889451 \tabularnewline
0.74 & 142.014074475848 & 2.15010831071434 \tabularnewline
0.75 & 142.457108316189 & 2.19166380035798 \tabularnewline
0.76 & 142.911319707091 & 2.22135471198282 \tabularnewline
0.77 & 143.374292392272 & 2.23243695886642 \tabularnewline
0.78 & 143.842671254156 & 2.22116351749812 \tabularnewline
0.79 & 144.312690700547 & 2.18657259264429 \tabularnewline
0.8 & 144.780778243762 & 2.13051521644766 \tabularnewline
0.81 & 145.244180144847 & 2.05804710336482 \tabularnewline
0.82 & 145.70156333609 & 1.97660168360221 \tabularnewline
0.83 & 146.153568964065 & 1.895464363219 \tabularnewline
0.84 & 146.603319147391 & 1.82505160100814 \tabularnewline
0.85 & 147.056886323714 & 1.77607218475377 \tabularnewline
0.86 & 147.523689351897 & 1.76011160303109 \tabularnewline
0.87 & 148.016655146919 & 1.78897913339982 \tabularnewline
0.88 & 148.551790840446 & 1.87334076994557 \tabularnewline
0.89 & 149.146632327308 & 2.01756048374072 \tabularnewline
0.9 & 149.817032484471 & 2.21175107602448 \tabularnewline
0.91 & 150.572121213097 & 2.424527836491 \tabularnewline
0.92 & 151.408125513798 & 2.60222127412636 \tabularnewline
0.93 & 152.302963047408 & 2.67718630160162 \tabularnewline
0.94 & 153.214628883118 & 2.58638424980905 \tabularnewline
0.95 & 154.086477774368 & 2.29732515079529 \tabularnewline
0.96 & 154.860382856336 & 1.83299995993553 \tabularnewline
0.97 & 155.493635703691 & 1.28242184665747 \tabularnewline
0.98 & 155.969002739927 & 0.787065918614253 \tabularnewline
0.99 & 156.287253746977 & 0.497100281850871 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128167&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]97.0432033672637[/C][C]6.65498755123677[/C][/ROW]
[ROW][C]0.02[/C][C]99.6503901273628[/C][C]4.55908543275221[/C][/ROW]
[ROW][C]0.03[/C][C]101.953087388077[/C][C]2.98777942329602[/C][/ROW]
[ROW][C]0.04[/C][C]103.666341041105[/C][C]2.28999484329404[/C][/ROW]
[ROW][C]0.05[/C][C]104.929717281421[/C][C]2.24333229419335[/C][/ROW]
[ROW][C]0.06[/C][C]105.962140937011[/C][C]2.43456186657967[/C][/ROW]
[ROW][C]0.07[/C][C]106.907988582882[/C][C]2.63726309060992[/C][/ROW]
[ROW][C]0.08[/C][C]107.827364879519[/C][C]2.78043093133729[/C][/ROW]
[ROW][C]0.09[/C][C]108.731241398838[/C][C]2.85311483092585[/C][/ROW]
[ROW][C]0.1[/C][C]109.612027207242[/C][C]2.86501208204894[/C][/ROW]
[ROW][C]0.11[/C][C]110.459950869192[/C][C]2.8344240862639[/C][/ROW]
[ROW][C]0.12[/C][C]111.269449002365[/C][C]2.78516214254532[/C][/ROW]
[ROW][C]0.13[/C][C]112.040503223996[/C][C]2.74244841711461[/C][/ROW]
[ROW][C]0.14[/C][C]112.777686643957[/C][C]2.72572252855333[/C][/ROW]
[ROW][C]0.15[/C][C]113.488175556098[/C][C]2.74197682252011[/C][/ROW]
[ROW][C]0.16[/C][C]114.179443379852[/C][C]2.78375978886523[/C][/ROW]
[ROW][C]0.17[/C][C]114.857228846813[/C][C]2.83434643142553[/C][/ROW]
[ROW][C]0.18[/C][C]115.524238919762[/C][C]2.87366435792692[/C][/ROW]
[ROW][C]0.19[/C][C]116.179796377362[/C][C]2.88510725468426[/C][/ROW]
[ROW][C]0.2[/C][C]116.820350550753[/C][C]2.85869942393853[/C][/ROW]
[ROW][C]0.21[/C][C]117.440553328974[/C][C]2.79177989316332[/C][/ROW]
[ROW][C]0.22[/C][C]118.034524120666[/C][C]2.68798321392751[/C][/ROW]
[ROW][C]0.23[/C][C]118.596978605809[/C][C]2.5553179034655[/C][/ROW]
[ROW][C]0.24[/C][C]119.124023234735[/C][C]2.40374338584188[/C][/ROW]
[ROW][C]0.25[/C][C]119.61355814026[/C][C]2.24346242599524[/C][/ROW]
[ROW][C]0.26[/C][C]120.065340001095[/C][C]2.0837306823447[/C][/ROW]
[ROW][C]0.27[/C][C]120.480814031631[/C][C]1.93226691515571[/C][/ROW]
[ROW][C]0.28[/C][C]120.862833452458[/C][C]1.7954098438013[/C][/ROW]
[ROW][C]0.29[/C][C]121.215360827547[/C][C]1.67802723063543[/C][/ROW]
[ROW][C]0.3[/C][C]121.54320687954[/C][C]1.58433519290231[/C][/ROW]
[ROW][C]0.31[/C][C]121.851823915533[/C][C]1.51836099111944[/C][/ROW]
[ROW][C]0.32[/C][C]122.147142122982[/C][C]1.48356275941984[/C][/ROW]
[ROW][C]0.33[/C][C]122.435421421524[/C][C]1.48315977179812[/C][/ROW]
[ROW][C]0.34[/C][C]122.723088860204[/C][C]1.51889274433517[/C][/ROW]
[ROW][C]0.35[/C][C]123.016538933594[/C][C]1.59080508755566[/C][/ROW]
[ROW][C]0.36[/C][C]123.32188787322[/C][C]1.69694742956735[/C][/ROW]
[ROW][C]0.37[/C][C]123.644689089818[/C][C]1.83287491906909[/C][/ROW]
[ROW][C]0.38[/C][C]123.989632058779[/C][C]1.99224357134756[/C][/ROW]
[ROW][C]0.39[/C][C]124.360258303795[/C][C]2.16686626253968[/C][/ROW]
[ROW][C]0.4[/C][C]124.758733809825[/C][C]2.34761814553838[/C][/ROW]
[ROW][C]0.41[/C][C]125.185716141208[/C][C]2.52523730012367[/C][/ROW]
[ROW][C]0.42[/C][C]125.640346621742[/C][C]2.69050081072191[/C][/ROW]
[ROW][C]0.43[/C][C]126.120383925739[/C][C]2.83570466861179[/C][/ROW]
[ROW][C]0.44[/C][C]126.622476975049[/C][C]2.9550981835045[/C][/ROW]
[ROW][C]0.45[/C][C]127.142554554649[/C][C]3.04570930922049[/C][/ROW]
[ROW][C]0.46[/C][C]127.676289558347[/C][C]3.10734690443154[/C][/ROW]
[ROW][C]0.47[/C][C]128.219580538523[/C][C]3.14293597668822[/C][/ROW]
[ROW][C]0.48[/C][C]128.768985343979[/C][C]3.158410639832[/C][/ROW]
[ROW][C]0.49[/C][C]129.322043389977[/C][C]3.16155313832755[/C][/ROW]
[ROW][C]0.5[/C][C]129.877435445828[/C][C]3.16063006103821[/C][/ROW]
[ROW][C]0.51[/C][C]130.43495186921[/C][C]3.1637060155884[/C][/ROW]
[ROW][C]0.52[/C][C]130.995269145059[/C][C]3.1765803287968[/C][/ROW]
[ROW][C]0.53[/C][C]131.559565926164[/C][C]3.2017421242299[/C][/ROW]
[ROW][C]0.54[/C][C]132.129038092653[/C][C]3.23741664579429[/C][/ROW]
[ROW][C]0.55[/C][C]132.704392269346[/C][C]3.27826218394325[/C][/ROW]
[ROW][C]0.56[/C][C]133.285404545172[/C][C]3.31633305435073[/C][/ROW]
[ROW][C]0.57[/C][C]133.870623731527[/C][C]3.34190238318074[/C][/ROW]
[ROW][C]0.58[/C][C]134.457276981604[/C][C]3.34543443320882[/C][/ROW]
[ROW][C]0.59[/C][C]135.041403312426[/C][C]3.31947810050319[/C][/ROW]
[ROW][C]0.6[/C][C]135.618203054112[/C][C]3.25924063899331[/C][/ROW]
[ROW][C]0.61[/C][C]136.182555167279[/C][C]3.16402338659135[/C][/ROW]
[ROW][C]0.62[/C][C]136.72962620706[/C][C]3.03725854937801[/C][/ROW]
[ROW][C]0.63[/C][C]137.255479461755[/C][C]2.88588188054265[/C][/ROW]
[ROW][C]0.64[/C][C]137.75759294921[/C][C]2.72033900199903[/C][/ROW]
[ROW][C]0.65[/C][C]138.235210056064[/C][C]2.55221382136208[/C][/ROW]
[ROW][C]0.66[/C][C]138.689473435742[/C][C]2.39411427355037[/C][/ROW]
[ROW][C]0.67[/C][C]139.123326140703[/C][C]2.25729986410545[/C][/ROW]
[ROW][C]0.68[/C][C]139.541197832115[/C][C]2.15065303712334[/C][/ROW]
[ROW][C]0.69[/C][C]139.948522698827[/C][C]2.07956741939079[/C][/ROW]
[ROW][C]0.7[/C][C]140.351155337321[/C][C]2.04461040785054[/C][/ROW]
[ROW][C]0.71[/C][C]140.754759352858[/C][C]2.04231898883298[/C][/ROW]
[ROW][C]0.72[/C][C]141.164241171903[/C][C]2.06544673951046[/C][/ROW]
[ROW][C]0.73[/C][C]141.58329071862[/C][C]2.1046933889451[/C][/ROW]
[ROW][C]0.74[/C][C]142.014074475848[/C][C]2.15010831071434[/C][/ROW]
[ROW][C]0.75[/C][C]142.457108316189[/C][C]2.19166380035798[/C][/ROW]
[ROW][C]0.76[/C][C]142.911319707091[/C][C]2.22135471198282[/C][/ROW]
[ROW][C]0.77[/C][C]143.374292392272[/C][C]2.23243695886642[/C][/ROW]
[ROW][C]0.78[/C][C]143.842671254156[/C][C]2.22116351749812[/C][/ROW]
[ROW][C]0.79[/C][C]144.312690700547[/C][C]2.18657259264429[/C][/ROW]
[ROW][C]0.8[/C][C]144.780778243762[/C][C]2.13051521644766[/C][/ROW]
[ROW][C]0.81[/C][C]145.244180144847[/C][C]2.05804710336482[/C][/ROW]
[ROW][C]0.82[/C][C]145.70156333609[/C][C]1.97660168360221[/C][/ROW]
[ROW][C]0.83[/C][C]146.153568964065[/C][C]1.895464363219[/C][/ROW]
[ROW][C]0.84[/C][C]146.603319147391[/C][C]1.82505160100814[/C][/ROW]
[ROW][C]0.85[/C][C]147.056886323714[/C][C]1.77607218475377[/C][/ROW]
[ROW][C]0.86[/C][C]147.523689351897[/C][C]1.76011160303109[/C][/ROW]
[ROW][C]0.87[/C][C]148.016655146919[/C][C]1.78897913339982[/C][/ROW]
[ROW][C]0.88[/C][C]148.551790840446[/C][C]1.87334076994557[/C][/ROW]
[ROW][C]0.89[/C][C]149.146632327308[/C][C]2.01756048374072[/C][/ROW]
[ROW][C]0.9[/C][C]149.817032484471[/C][C]2.21175107602448[/C][/ROW]
[ROW][C]0.91[/C][C]150.572121213097[/C][C]2.424527836491[/C][/ROW]
[ROW][C]0.92[/C][C]151.408125513798[/C][C]2.60222127412636[/C][/ROW]
[ROW][C]0.93[/C][C]152.302963047408[/C][C]2.67718630160162[/C][/ROW]
[ROW][C]0.94[/C][C]153.214628883118[/C][C]2.58638424980905[/C][/ROW]
[ROW][C]0.95[/C][C]154.086477774368[/C][C]2.29732515079529[/C][/ROW]
[ROW][C]0.96[/C][C]154.860382856336[/C][C]1.83299995993553[/C][/ROW]
[ROW][C]0.97[/C][C]155.493635703691[/C][C]1.28242184665747[/C][/ROW]
[ROW][C]0.98[/C][C]155.969002739927[/C][C]0.787065918614253[/C][/ROW]
[ROW][C]0.99[/C][C]156.287253746977[/C][C]0.497100281850871[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128167&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128167&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
0.0197.04320336726376.65498755123677
0.0299.65039012736284.55908543275221
0.03101.9530873880772.98777942329602
0.04103.6663410411052.28999484329404
0.05104.9297172814212.24333229419335
0.06105.9621409370112.43456186657967
0.07106.9079885828822.63726309060992
0.08107.8273648795192.78043093133729
0.09108.7312413988382.85311483092585
0.1109.6120272072422.86501208204894
0.11110.4599508691922.8344240862639
0.12111.2694490023652.78516214254532
0.13112.0405032239962.74244841711461
0.14112.7776866439572.72572252855333
0.15113.4881755560982.74197682252011
0.16114.1794433798522.78375978886523
0.17114.8572288468132.83434643142553
0.18115.5242389197622.87366435792692
0.19116.1797963773622.88510725468426
0.2116.8203505507532.85869942393853
0.21117.4405533289742.79177989316332
0.22118.0345241206662.68798321392751
0.23118.5969786058092.5553179034655
0.24119.1240232347352.40374338584188
0.25119.613558140262.24346242599524
0.26120.0653400010952.0837306823447
0.27120.4808140316311.93226691515571
0.28120.8628334524581.7954098438013
0.29121.2153608275471.67802723063543
0.3121.543206879541.58433519290231
0.31121.8518239155331.51836099111944
0.32122.1471421229821.48356275941984
0.33122.4354214215241.48315977179812
0.34122.7230888602041.51889274433517
0.35123.0165389335941.59080508755566
0.36123.321887873221.69694742956735
0.37123.6446890898181.83287491906909
0.38123.9896320587791.99224357134756
0.39124.3602583037952.16686626253968
0.4124.7587338098252.34761814553838
0.41125.1857161412082.52523730012367
0.42125.6403466217422.69050081072191
0.43126.1203839257392.83570466861179
0.44126.6224769750492.9550981835045
0.45127.1425545546493.04570930922049
0.46127.6762895583473.10734690443154
0.47128.2195805385233.14293597668822
0.48128.7689853439793.158410639832
0.49129.3220433899773.16155313832755
0.5129.8774354458283.16063006103821
0.51130.434951869213.1637060155884
0.52130.9952691450593.1765803287968
0.53131.5595659261643.2017421242299
0.54132.1290380926533.23741664579429
0.55132.7043922693463.27826218394325
0.56133.2854045451723.31633305435073
0.57133.8706237315273.34190238318074
0.58134.4572769816043.34543443320882
0.59135.0414033124263.31947810050319
0.6135.6182030541123.25924063899331
0.61136.1825551672793.16402338659135
0.62136.729626207063.03725854937801
0.63137.2554794617552.88588188054265
0.64137.757592949212.72033900199903
0.65138.2352100560642.55221382136208
0.66138.6894734357422.39411427355037
0.67139.1233261407032.25729986410545
0.68139.5411978321152.15065303712334
0.69139.9485226988272.07956741939079
0.7140.3511553373212.04461040785054
0.71140.7547593528582.04231898883298
0.72141.1642411719032.06544673951046
0.73141.583290718622.1046933889451
0.74142.0140744758482.15010831071434
0.75142.4571083161892.19166380035798
0.76142.9113197070912.22135471198282
0.77143.3742923922722.23243695886642
0.78143.8426712541562.22116351749812
0.79144.3126907005472.18657259264429
0.8144.7807782437622.13051521644766
0.81145.2441801448472.05804710336482
0.82145.701563336091.97660168360221
0.83146.1535689640651.895464363219
0.84146.6033191473911.82505160100814
0.85147.0568863237141.77607218475377
0.86147.5236893518971.76011160303109
0.87148.0166551469191.78897913339982
0.88148.5517908404461.87334076994557
0.89149.1466323273082.01756048374072
0.9149.8170324844712.21175107602448
0.91150.5721212130972.424527836491
0.92151.4081255137982.60222127412636
0.93152.3029630474082.67718630160162
0.94153.2146288831182.58638424980905
0.95154.0864777743682.29732515079529
0.96154.8603828563361.83299995993553
0.97155.4936357036911.28242184665747
0.98155.9690027399270.787065918614253
0.99156.2872537469770.497100281850871


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')