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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 computationWed, 27 Jan 2010 07:47:56 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Jan/27/t1264603815aiwbgkjy1ydqckf.htm/, Retrieved Sun, 05 May 2024 23:42:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=72694, Retrieved Sun, 05 May 2024 23:42:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W41
Estimated Impact198

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] [Harrel-Davis perc...] [2008-10-13 18:37:07] [e4a15d75e135371934c77b6a0dd48476]
-  M D    [Harrell-Davis Quantiles] [harrel davies per...] [2010-01-27 14:47:56] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
176.9
177.3
177.3
177.5
177.6
177.3
177.8
179.6
179.7
179.8
179.1
179.1
179.3
179.3
179.6
179.8
180.2
180.1
179.9
179.9
179.2
179.7
179.9
180.2
181.1
181.3
181.3
181.4
181.3
181.4
181.5
181.7
181.9
182.0
182.1
182.1
187.2
188.1
188.0
188.2
188.6
188.5
188.6
188.5
189.2
189.3
189.4
189.4
189.4
189.6
189.7
189.7
189.8
190.1
190.0
190.0
190.2
190.3
190.3
190.2
190.6
190.5
190.8
190.8
190.8
191.0
191.3
191.3
191.2
191.2
191.4
191.5
194.1
193.9
193.9
193.7
194.8
194.8
194.8
195.3
195.4
196.1
196.1
196.0
197.8
198.5
198.9
198.5
199.2
199.2
199.3
199.3
200.5
201.4
201.6
201.4
204.9
206.2
207.4
209.0
210.1
210.3
213.8
213.8
213.6
216.5
216.4
216.6
220.9
220.3
220.3
220.4
221.2
221.1
221.8
221.7

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'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72694&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72694&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72694&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01177.0834966452800.237644277799227
0.02177.2783555292420.169883144269480
0.03177.450477662030.305480472032700
0.04177.6725844597530.507790109459824
0.05177.9676628271400.671100913827926
0.06178.3050113014790.728391168016144
0.07178.6358605919090.675907645247457
0.08178.9225363607240.561905456983074
0.09179.1508298843500.443519045887074
0.1179.3260493629120.353896411506129
0.11179.4621829481770.298120888044914
0.12179.5734773272220.268985362487853
0.13179.6713791553820.261771566231903
0.14179.7649180218020.277159227072146
0.15179.8617749731610.31552439411915
0.16179.9686125012380.374412487580618
0.17180.0906093127710.447591999508538
0.18180.2307971969690.525398602726947
0.19180.3898639990110.59982547575992
0.2180.5668309745500.667198940024439
0.21180.7606045661790.731854932185446
0.22180.9719765946970.808114918182529
0.23181.2053521342130.916012409212263
0.24181.4694453777691.07708266948248
0.25181.7764373933101.30149440893660
0.26182.1395632837801.58453778179188
0.27182.5696360356651.90443013954279
0.28183.0714373243512.22623696233223
0.29183.6410553768052.50784275767551
0.3184.2650490461732.70925608918962
0.31184.9218059287222.80109733630037
0.32185.5848033593082.77169866033475
0.33186.2269091489172.62913851681119
0.34186.8245849955892.39727795723755
0.35187.3609709006572.10980276233916
0.36187.8272636895191.80253551576713
0.37188.2223645145001.50659959817533
0.38188.5512407275491.24342243204381
0.39188.822680826971.02424876826393
0.4189.0470926328810.851671324686174
0.41189.2347843435810.721333801838864
0.42189.394900190280.626422458629086
0.43189.5349627978250.559450858912232
0.44189.6608543743790.513569602474034
0.45189.7770451953170.482508589325395
0.46189.8869156654610.463915350626027
0.47189.9930780024170.454108570998645
0.48190.0976578780750.452520149085774
0.49190.2025333466480.458016650598859
0.5190.3095465994310.4710708073862
0.51190.4207056857720.492979424970191
0.52190.5383807245020.525513079136767
0.53190.6654756551040.572061074380938
0.54190.8055291904130.635336824750839
0.55190.9626791685310.718505287312093
0.56191.1414273168810.822448814437924
0.57191.3461772104720.945709412073892
0.58191.5805862386291.08251680963089
0.59191.8468556500681.22417541108170
0.6192.1451497583981.35988868870357
0.61192.4733507634511.47846662838553
0.62192.8272962877921.57081853962419
0.63193.2015166477601.63404891521179
0.64193.590324167341.66949971140321
0.65193.9889661457141.68445512638888
0.66194.3944959249261.68947431221602
0.67194.8060783965611.69610228753738
0.68195.2246215905921.71113814953431
0.69195.6518656227851.73679114729330
0.7196.0892850715881.76787686973961
0.71196.5372860133291.79639825638962
0.72196.9951428082171.81555868418513
0.73197.4619092017671.82338177574019
0.74197.9382019568861.82848171961697
0.75198.4283952368061.84917441319262
0.76198.9425041868741.91149522707395
0.77199.4969770254952.04215427115001
0.78200.1137973902822.25935319484659
0.79200.8176958252542.56422697051789
0.8201.6318015836232.93749019195174
0.81202.5726141551753.34177230218635
0.82203.6455761083373.72807314578294
0.83204.842592572324.0463066879396
0.84206.1424296836364.25571066804351
0.85207.5140982123244.33453207567253
0.86208.9224248289784.28402330427347
0.87210.3344520874424.12523908513444
0.88211.7251870311443.89364246529552
0.89213.0811077165773.63103797236384
0.9214.3993228773773.37462290818724
0.91215.6801647614173.13741287681617
0.92216.9136497105352.88822019438167
0.93218.0668888171362.55826030196579
0.94219.0853863864192.0963771589011
0.95219.9162061582441.53511520566124
0.96220.5426829934830.995414541961099
0.97221.0031458910050.610005892728145
0.98221.3652282047270.418484878536039
0.99221.6522526225880.270636006600575

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 177.083496645280 & 0.237644277799227 \tabularnewline
0.02 & 177.278355529242 & 0.169883144269480 \tabularnewline
0.03 & 177.45047766203 & 0.305480472032700 \tabularnewline
0.04 & 177.672584459753 & 0.507790109459824 \tabularnewline
0.05 & 177.967662827140 & 0.671100913827926 \tabularnewline
0.06 & 178.305011301479 & 0.728391168016144 \tabularnewline
0.07 & 178.635860591909 & 0.675907645247457 \tabularnewline
0.08 & 178.922536360724 & 0.561905456983074 \tabularnewline
0.09 & 179.150829884350 & 0.443519045887074 \tabularnewline
0.1 & 179.326049362912 & 0.353896411506129 \tabularnewline
0.11 & 179.462182948177 & 0.298120888044914 \tabularnewline
0.12 & 179.573477327222 & 0.268985362487853 \tabularnewline
0.13 & 179.671379155382 & 0.261771566231903 \tabularnewline
0.14 & 179.764918021802 & 0.277159227072146 \tabularnewline
0.15 & 179.861774973161 & 0.31552439411915 \tabularnewline
0.16 & 179.968612501238 & 0.374412487580618 \tabularnewline
0.17 & 180.090609312771 & 0.447591999508538 \tabularnewline
0.18 & 180.230797196969 & 0.525398602726947 \tabularnewline
0.19 & 180.389863999011 & 0.59982547575992 \tabularnewline
0.2 & 180.566830974550 & 0.667198940024439 \tabularnewline
0.21 & 180.760604566179 & 0.731854932185446 \tabularnewline
0.22 & 180.971976594697 & 0.808114918182529 \tabularnewline
0.23 & 181.205352134213 & 0.916012409212263 \tabularnewline
0.24 & 181.469445377769 & 1.07708266948248 \tabularnewline
0.25 & 181.776437393310 & 1.30149440893660 \tabularnewline
0.26 & 182.139563283780 & 1.58453778179188 \tabularnewline
0.27 & 182.569636035665 & 1.90443013954279 \tabularnewline
0.28 & 183.071437324351 & 2.22623696233223 \tabularnewline
0.29 & 183.641055376805 & 2.50784275767551 \tabularnewline
0.3 & 184.265049046173 & 2.70925608918962 \tabularnewline
0.31 & 184.921805928722 & 2.80109733630037 \tabularnewline
0.32 & 185.584803359308 & 2.77169866033475 \tabularnewline
0.33 & 186.226909148917 & 2.62913851681119 \tabularnewline
0.34 & 186.824584995589 & 2.39727795723755 \tabularnewline
0.35 & 187.360970900657 & 2.10980276233916 \tabularnewline
0.36 & 187.827263689519 & 1.80253551576713 \tabularnewline
0.37 & 188.222364514500 & 1.50659959817533 \tabularnewline
0.38 & 188.551240727549 & 1.24342243204381 \tabularnewline
0.39 & 188.82268082697 & 1.02424876826393 \tabularnewline
0.4 & 189.047092632881 & 0.851671324686174 \tabularnewline
0.41 & 189.234784343581 & 0.721333801838864 \tabularnewline
0.42 & 189.39490019028 & 0.626422458629086 \tabularnewline
0.43 & 189.534962797825 & 0.559450858912232 \tabularnewline
0.44 & 189.660854374379 & 0.513569602474034 \tabularnewline
0.45 & 189.777045195317 & 0.482508589325395 \tabularnewline
0.46 & 189.886915665461 & 0.463915350626027 \tabularnewline
0.47 & 189.993078002417 & 0.454108570998645 \tabularnewline
0.48 & 190.097657878075 & 0.452520149085774 \tabularnewline
0.49 & 190.202533346648 & 0.458016650598859 \tabularnewline
0.5 & 190.309546599431 & 0.4710708073862 \tabularnewline
0.51 & 190.420705685772 & 0.492979424970191 \tabularnewline
0.52 & 190.538380724502 & 0.525513079136767 \tabularnewline
0.53 & 190.665475655104 & 0.572061074380938 \tabularnewline
0.54 & 190.805529190413 & 0.635336824750839 \tabularnewline
0.55 & 190.962679168531 & 0.718505287312093 \tabularnewline
0.56 & 191.141427316881 & 0.822448814437924 \tabularnewline
0.57 & 191.346177210472 & 0.945709412073892 \tabularnewline
0.58 & 191.580586238629 & 1.08251680963089 \tabularnewline
0.59 & 191.846855650068 & 1.22417541108170 \tabularnewline
0.6 & 192.145149758398 & 1.35988868870357 \tabularnewline
0.61 & 192.473350763451 & 1.47846662838553 \tabularnewline
0.62 & 192.827296287792 & 1.57081853962419 \tabularnewline
0.63 & 193.201516647760 & 1.63404891521179 \tabularnewline
0.64 & 193.59032416734 & 1.66949971140321 \tabularnewline
0.65 & 193.988966145714 & 1.68445512638888 \tabularnewline
0.66 & 194.394495924926 & 1.68947431221602 \tabularnewline
0.67 & 194.806078396561 & 1.69610228753738 \tabularnewline
0.68 & 195.224621590592 & 1.71113814953431 \tabularnewline
0.69 & 195.651865622785 & 1.73679114729330 \tabularnewline
0.7 & 196.089285071588 & 1.76787686973961 \tabularnewline
0.71 & 196.537286013329 & 1.79639825638962 \tabularnewline
0.72 & 196.995142808217 & 1.81555868418513 \tabularnewline
0.73 & 197.461909201767 & 1.82338177574019 \tabularnewline
0.74 & 197.938201956886 & 1.82848171961697 \tabularnewline
0.75 & 198.428395236806 & 1.84917441319262 \tabularnewline
0.76 & 198.942504186874 & 1.91149522707395 \tabularnewline
0.77 & 199.496977025495 & 2.04215427115001 \tabularnewline
0.78 & 200.113797390282 & 2.25935319484659 \tabularnewline
0.79 & 200.817695825254 & 2.56422697051789 \tabularnewline
0.8 & 201.631801583623 & 2.93749019195174 \tabularnewline
0.81 & 202.572614155175 & 3.34177230218635 \tabularnewline
0.82 & 203.645576108337 & 3.72807314578294 \tabularnewline
0.83 & 204.84259257232 & 4.0463066879396 \tabularnewline
0.84 & 206.142429683636 & 4.25571066804351 \tabularnewline
0.85 & 207.514098212324 & 4.33453207567253 \tabularnewline
0.86 & 208.922424828978 & 4.28402330427347 \tabularnewline
0.87 & 210.334452087442 & 4.12523908513444 \tabularnewline
0.88 & 211.725187031144 & 3.89364246529552 \tabularnewline
0.89 & 213.081107716577 & 3.63103797236384 \tabularnewline
0.9 & 214.399322877377 & 3.37462290818724 \tabularnewline
0.91 & 215.680164761417 & 3.13741287681617 \tabularnewline
0.92 & 216.913649710535 & 2.88822019438167 \tabularnewline
0.93 & 218.066888817136 & 2.55826030196579 \tabularnewline
0.94 & 219.085386386419 & 2.0963771589011 \tabularnewline
0.95 & 219.916206158244 & 1.53511520566124 \tabularnewline
0.96 & 220.542682993483 & 0.995414541961099 \tabularnewline
0.97 & 221.003145891005 & 0.610005892728145 \tabularnewline
0.98 & 221.365228204727 & 0.418484878536039 \tabularnewline
0.99 & 221.652252622588 & 0.270636006600575 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=72694&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]177.083496645280[/C][C]0.237644277799227[/C][/ROW]
[ROW][C]0.02[/C][C]177.278355529242[/C][C]0.169883144269480[/C][/ROW]
[ROW][C]0.03[/C][C]177.45047766203[/C][C]0.305480472032700[/C][/ROW]
[ROW][C]0.04[/C][C]177.672584459753[/C][C]0.507790109459824[/C][/ROW]
[ROW][C]0.05[/C][C]177.967662827140[/C][C]0.671100913827926[/C][/ROW]
[ROW][C]0.06[/C][C]178.305011301479[/C][C]0.728391168016144[/C][/ROW]
[ROW][C]0.07[/C][C]178.635860591909[/C][C]0.675907645247457[/C][/ROW]
[ROW][C]0.08[/C][C]178.922536360724[/C][C]0.561905456983074[/C][/ROW]
[ROW][C]0.09[/C][C]179.150829884350[/C][C]0.443519045887074[/C][/ROW]
[ROW][C]0.1[/C][C]179.326049362912[/C][C]0.353896411506129[/C][/ROW]
[ROW][C]0.11[/C][C]179.462182948177[/C][C]0.298120888044914[/C][/ROW]
[ROW][C]0.12[/C][C]179.573477327222[/C][C]0.268985362487853[/C][/ROW]
[ROW][C]0.13[/C][C]179.671379155382[/C][C]0.261771566231903[/C][/ROW]
[ROW][C]0.14[/C][C]179.764918021802[/C][C]0.277159227072146[/C][/ROW]
[ROW][C]0.15[/C][C]179.861774973161[/C][C]0.31552439411915[/C][/ROW]
[ROW][C]0.16[/C][C]179.968612501238[/C][C]0.374412487580618[/C][/ROW]
[ROW][C]0.17[/C][C]180.090609312771[/C][C]0.447591999508538[/C][/ROW]
[ROW][C]0.18[/C][C]180.230797196969[/C][C]0.525398602726947[/C][/ROW]
[ROW][C]0.19[/C][C]180.389863999011[/C][C]0.59982547575992[/C][/ROW]
[ROW][C]0.2[/C][C]180.566830974550[/C][C]0.667198940024439[/C][/ROW]
[ROW][C]0.21[/C][C]180.760604566179[/C][C]0.731854932185446[/C][/ROW]
[ROW][C]0.22[/C][C]180.971976594697[/C][C]0.808114918182529[/C][/ROW]
[ROW][C]0.23[/C][C]181.205352134213[/C][C]0.916012409212263[/C][/ROW]
[ROW][C]0.24[/C][C]181.469445377769[/C][C]1.07708266948248[/C][/ROW]
[ROW][C]0.25[/C][C]181.776437393310[/C][C]1.30149440893660[/C][/ROW]
[ROW][C]0.26[/C][C]182.139563283780[/C][C]1.58453778179188[/C][/ROW]
[ROW][C]0.27[/C][C]182.569636035665[/C][C]1.90443013954279[/C][/ROW]
[ROW][C]0.28[/C][C]183.071437324351[/C][C]2.22623696233223[/C][/ROW]
[ROW][C]0.29[/C][C]183.641055376805[/C][C]2.50784275767551[/C][/ROW]
[ROW][C]0.3[/C][C]184.265049046173[/C][C]2.70925608918962[/C][/ROW]
[ROW][C]0.31[/C][C]184.921805928722[/C][C]2.80109733630037[/C][/ROW]
[ROW][C]0.32[/C][C]185.584803359308[/C][C]2.77169866033475[/C][/ROW]
[ROW][C]0.33[/C][C]186.226909148917[/C][C]2.62913851681119[/C][/ROW]
[ROW][C]0.34[/C][C]186.824584995589[/C][C]2.39727795723755[/C][/ROW]
[ROW][C]0.35[/C][C]187.360970900657[/C][C]2.10980276233916[/C][/ROW]
[ROW][C]0.36[/C][C]187.827263689519[/C][C]1.80253551576713[/C][/ROW]
[ROW][C]0.37[/C][C]188.222364514500[/C][C]1.50659959817533[/C][/ROW]
[ROW][C]0.38[/C][C]188.551240727549[/C][C]1.24342243204381[/C][/ROW]
[ROW][C]0.39[/C][C]188.82268082697[/C][C]1.02424876826393[/C][/ROW]
[ROW][C]0.4[/C][C]189.047092632881[/C][C]0.851671324686174[/C][/ROW]
[ROW][C]0.41[/C][C]189.234784343581[/C][C]0.721333801838864[/C][/ROW]
[ROW][C]0.42[/C][C]189.39490019028[/C][C]0.626422458629086[/C][/ROW]
[ROW][C]0.43[/C][C]189.534962797825[/C][C]0.559450858912232[/C][/ROW]
[ROW][C]0.44[/C][C]189.660854374379[/C][C]0.513569602474034[/C][/ROW]
[ROW][C]0.45[/C][C]189.777045195317[/C][C]0.482508589325395[/C][/ROW]
[ROW][C]0.46[/C][C]189.886915665461[/C][C]0.463915350626027[/C][/ROW]
[ROW][C]0.47[/C][C]189.993078002417[/C][C]0.454108570998645[/C][/ROW]
[ROW][C]0.48[/C][C]190.097657878075[/C][C]0.452520149085774[/C][/ROW]
[ROW][C]0.49[/C][C]190.202533346648[/C][C]0.458016650598859[/C][/ROW]
[ROW][C]0.5[/C][C]190.309546599431[/C][C]0.4710708073862[/C][/ROW]
[ROW][C]0.51[/C][C]190.420705685772[/C][C]0.492979424970191[/C][/ROW]
[ROW][C]0.52[/C][C]190.538380724502[/C][C]0.525513079136767[/C][/ROW]
[ROW][C]0.53[/C][C]190.665475655104[/C][C]0.572061074380938[/C][/ROW]
[ROW][C]0.54[/C][C]190.805529190413[/C][C]0.635336824750839[/C][/ROW]
[ROW][C]0.55[/C][C]190.962679168531[/C][C]0.718505287312093[/C][/ROW]
[ROW][C]0.56[/C][C]191.141427316881[/C][C]0.822448814437924[/C][/ROW]
[ROW][C]0.57[/C][C]191.346177210472[/C][C]0.945709412073892[/C][/ROW]
[ROW][C]0.58[/C][C]191.580586238629[/C][C]1.08251680963089[/C][/ROW]
[ROW][C]0.59[/C][C]191.846855650068[/C][C]1.22417541108170[/C][/ROW]
[ROW][C]0.6[/C][C]192.145149758398[/C][C]1.35988868870357[/C][/ROW]
[ROW][C]0.61[/C][C]192.473350763451[/C][C]1.47846662838553[/C][/ROW]
[ROW][C]0.62[/C][C]192.827296287792[/C][C]1.57081853962419[/C][/ROW]
[ROW][C]0.63[/C][C]193.201516647760[/C][C]1.63404891521179[/C][/ROW]
[ROW][C]0.64[/C][C]193.59032416734[/C][C]1.66949971140321[/C][/ROW]
[ROW][C]0.65[/C][C]193.988966145714[/C][C]1.68445512638888[/C][/ROW]
[ROW][C]0.66[/C][C]194.394495924926[/C][C]1.68947431221602[/C][/ROW]
[ROW][C]0.67[/C][C]194.806078396561[/C][C]1.69610228753738[/C][/ROW]
[ROW][C]0.68[/C][C]195.224621590592[/C][C]1.71113814953431[/C][/ROW]
[ROW][C]0.69[/C][C]195.651865622785[/C][C]1.73679114729330[/C][/ROW]
[ROW][C]0.7[/C][C]196.089285071588[/C][C]1.76787686973961[/C][/ROW]
[ROW][C]0.71[/C][C]196.537286013329[/C][C]1.79639825638962[/C][/ROW]
[ROW][C]0.72[/C][C]196.995142808217[/C][C]1.81555868418513[/C][/ROW]
[ROW][C]0.73[/C][C]197.461909201767[/C][C]1.82338177574019[/C][/ROW]
[ROW][C]0.74[/C][C]197.938201956886[/C][C]1.82848171961697[/C][/ROW]
[ROW][C]0.75[/C][C]198.428395236806[/C][C]1.84917441319262[/C][/ROW]
[ROW][C]0.76[/C][C]198.942504186874[/C][C]1.91149522707395[/C][/ROW]
[ROW][C]0.77[/C][C]199.496977025495[/C][C]2.04215427115001[/C][/ROW]
[ROW][C]0.78[/C][C]200.113797390282[/C][C]2.25935319484659[/C][/ROW]
[ROW][C]0.79[/C][C]200.817695825254[/C][C]2.56422697051789[/C][/ROW]
[ROW][C]0.8[/C][C]201.631801583623[/C][C]2.93749019195174[/C][/ROW]
[ROW][C]0.81[/C][C]202.572614155175[/C][C]3.34177230218635[/C][/ROW]
[ROW][C]0.82[/C][C]203.645576108337[/C][C]3.72807314578294[/C][/ROW]
[ROW][C]0.83[/C][C]204.84259257232[/C][C]4.0463066879396[/C][/ROW]
[ROW][C]0.84[/C][C]206.142429683636[/C][C]4.25571066804351[/C][/ROW]
[ROW][C]0.85[/C][C]207.514098212324[/C][C]4.33453207567253[/C][/ROW]
[ROW][C]0.86[/C][C]208.922424828978[/C][C]4.28402330427347[/C][/ROW]
[ROW][C]0.87[/C][C]210.334452087442[/C][C]4.12523908513444[/C][/ROW]
[ROW][C]0.88[/C][C]211.725187031144[/C][C]3.89364246529552[/C][/ROW]
[ROW][C]0.89[/C][C]213.081107716577[/C][C]3.63103797236384[/C][/ROW]
[ROW][C]0.9[/C][C]214.399322877377[/C][C]3.37462290818724[/C][/ROW]
[ROW][C]0.91[/C][C]215.680164761417[/C][C]3.13741287681617[/C][/ROW]
[ROW][C]0.92[/C][C]216.913649710535[/C][C]2.88822019438167[/C][/ROW]
[ROW][C]0.93[/C][C]218.066888817136[/C][C]2.55826030196579[/C][/ROW]
[ROW][C]0.94[/C][C]219.085386386419[/C][C]2.0963771589011[/C][/ROW]
[ROW][C]0.95[/C][C]219.916206158244[/C][C]1.53511520566124[/C][/ROW]
[ROW][C]0.96[/C][C]220.542682993483[/C][C]0.995414541961099[/C][/ROW]
[ROW][C]0.97[/C][C]221.003145891005[/C][C]0.610005892728145[/C][/ROW]
[ROW][C]0.98[/C][C]221.365228204727[/C][C]0.418484878536039[/C][/ROW]
[ROW][C]0.99[/C][C]221.652252622588[/C][C]0.270636006600575[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=72694&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=72694&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
0.01177.0834966452800.237644277799227
0.02177.2783555292420.169883144269480
0.03177.450477662030.305480472032700
0.04177.6725844597530.507790109459824
0.05177.9676628271400.671100913827926
0.06178.3050113014790.728391168016144
0.07178.6358605919090.675907645247457
0.08178.9225363607240.561905456983074
0.09179.1508298843500.443519045887074
0.1179.3260493629120.353896411506129
0.11179.4621829481770.298120888044914
0.12179.5734773272220.268985362487853
0.13179.6713791553820.261771566231903
0.14179.7649180218020.277159227072146
0.15179.8617749731610.31552439411915
0.16179.9686125012380.374412487580618
0.17180.0906093127710.447591999508538
0.18180.2307971969690.525398602726947
0.19180.3898639990110.59982547575992
0.2180.5668309745500.667198940024439
0.21180.7606045661790.731854932185446
0.22180.9719765946970.808114918182529
0.23181.2053521342130.916012409212263
0.24181.4694453777691.07708266948248
0.25181.7764373933101.30149440893660
0.26182.1395632837801.58453778179188
0.27182.5696360356651.90443013954279
0.28183.0714373243512.22623696233223
0.29183.6410553768052.50784275767551
0.3184.2650490461732.70925608918962
0.31184.9218059287222.80109733630037
0.32185.5848033593082.77169866033475
0.33186.2269091489172.62913851681119
0.34186.8245849955892.39727795723755
0.35187.3609709006572.10980276233916
0.36187.8272636895191.80253551576713
0.37188.2223645145001.50659959817533
0.38188.5512407275491.24342243204381
0.39188.822680826971.02424876826393
0.4189.0470926328810.851671324686174
0.41189.2347843435810.721333801838864
0.42189.394900190280.626422458629086
0.43189.5349627978250.559450858912232
0.44189.6608543743790.513569602474034
0.45189.7770451953170.482508589325395
0.46189.8869156654610.463915350626027
0.47189.9930780024170.454108570998645
0.48190.0976578780750.452520149085774
0.49190.2025333466480.458016650598859
0.5190.3095465994310.4710708073862
0.51190.4207056857720.492979424970191
0.52190.5383807245020.525513079136767
0.53190.6654756551040.572061074380938
0.54190.8055291904130.635336824750839
0.55190.9626791685310.718505287312093
0.56191.1414273168810.822448814437924
0.57191.3461772104720.945709412073892
0.58191.5805862386291.08251680963089
0.59191.8468556500681.22417541108170
0.6192.1451497583981.35988868870357
0.61192.4733507634511.47846662838553
0.62192.8272962877921.57081853962419
0.63193.2015166477601.63404891521179
0.64193.590324167341.66949971140321
0.65193.9889661457141.68445512638888
0.66194.3944959249261.68947431221602
0.67194.8060783965611.69610228753738
0.68195.2246215905921.71113814953431
0.69195.6518656227851.73679114729330
0.7196.0892850715881.76787686973961
0.71196.5372860133291.79639825638962
0.72196.9951428082171.81555868418513
0.73197.4619092017671.82338177574019
0.74197.9382019568861.82848171961697
0.75198.4283952368061.84917441319262
0.76198.9425041868741.91149522707395
0.77199.4969770254952.04215427115001
0.78200.1137973902822.25935319484659
0.79200.8176958252542.56422697051789
0.8201.6318015836232.93749019195174
0.81202.5726141551753.34177230218635
0.82203.6455761083373.72807314578294
0.83204.842592572324.0463066879396
0.84206.1424296836364.25571066804351
0.85207.5140982123244.33453207567253
0.86208.9224248289784.28402330427347
0.87210.3344520874424.12523908513444
0.88211.7251870311443.89364246529552
0.89213.0811077165773.63103797236384
0.9214.3993228773773.37462290818724
0.91215.6801647614173.13741287681617
0.92216.9136497105352.88822019438167
0.93218.0668888171362.55826030196579
0.94219.0853863864192.0963771589011
0.95219.9162061582441.53511520566124
0.96220.5426829934830.995414541961099
0.97221.0031458910050.610005892728145
0.98221.3652282047270.418484878536039
0.99221.6522526225880.270636006600575


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')