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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 computationMon, 10 Mar 2008 16:45:40 -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/2008/Mar/10/t1205189206can1lbece570s4b.htm/, Retrieved Sun, 19 May 2024 22:53:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=10058, Retrieved Sun, 19 May 2024 22:53:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact281

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] [] [2008-03-10 22:45:40] [314f9a525820ae2bc37b608258bd4c0b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
110.84
110.84
111.01
112.66
114.04
114.16
114.2
114.2
114.23
114.23
114.23
114.23
114.23
114.23
115.97
116.96
117.08
117.08
117.08
117.63
119.12
119.47
119.5
119.52
119.49
119.49
119.5
119.5
119.56
122.35
122.92
122.92
123.04
123.04
123.04
123.06
123.33
128.21
129.57
129.79
131.66
135.01
136.01
136.31
136.37
136.4
136.4
136.4
137.34
142.18
143.79
144.08
144.08
144.09
144.09
144.11
144.11
144.15
144.15
144.16
144.2
144.38
144.38
144.28
144.46
144.53
144.53
145.34
147.98
150.42

Tables (Output of Computation)





Summary of compuational 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 compuational 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=10058&T=0

[TABLE]
[ROW][C]Summary of compuational 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=10058&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10058&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 compuational 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
0.01110.9039841122870.20835797035112
0.02111.0891044659070.581737779977821
0.03111.4195674400720.970798837565757
0.04111.8674271709041.22514778301003
0.05112.3687286126661.28003790768506
0.06112.8539312759211.16188089638322
0.07113.272196133630.94496907693208
0.08113.6005803257860.705405948791971
0.09113.8405129479250.49654106773556
0.1114.0085585089430.346267677518598
0.11114.1273856937230.267309124979783
0.12114.2196833436960.264802247883555
0.13114.3051650620230.327823529883084
0.14114.3996161652770.437689092214535
0.15114.5148574225120.580187446340767
0.16114.6589226141400.742779774566219
0.17114.8362120188780.912335840375436
0.18115.0476763945211.07534090994239
0.19115.2911727458691.21950657096138
0.2115.5620744963541.33595614235368
0.21115.8541023190281.41994760199218
0.22116.1602434566591.47138904568461
0.23116.4735906172381.49358026159473
0.24116.7879635054921.49165424323861
0.25117.0982542496161.47131300274601
0.26117.4005255020291.43700088186314
0.27117.6919525050331.39219188434429
0.28117.9707188038211.33992814175055
0.29118.2359501579261.28300848877902
0.3118.4877191229611.22595174763217
0.31118.7270974148701.17418936576398
0.32118.9561956139031.13504133202552
0.33119.1781216970911.11567730607207
0.34119.396811325921.12240996818676
0.35119.6167240832501.15791213165468
0.36119.8424461041631.22116128902283
0.37120.0782758616721.30730723003834
0.38120.3278853700221.40963054346666
0.39120.5941392428611.52133886026482
0.4120.8791211894921.63705631199135
0.41121.1843696440791.75460300545879
0.42121.5112728053341.87511055977456
0.43121.8615307049112.00391108910597
0.44122.2375683325162.1486371047922
0.45122.642785379832.31800650222381
0.46123.0815552797242.51951046678984
0.47123.5589336744482.75687019237879
0.48124.0800945273393.02799370986217
0.49124.6495688452823.32551483600075
0.5125.2704049482433.6357327072203
0.51125.9433919481783.94216204147888
0.52126.6664857471234.22545106277204
0.53127.4345506040094.46674609738744
0.54128.2394844853044.64929648937506
0.55129.0707408318424.76069684523489
0.56129.9162014887514.79475369165514
0.57130.7633029580534.7517924699466
0.58131.6002769071894.63973175206897
0.59132.4173405816004.47262637358854
0.6133.2076669435794.27052929908188
0.61133.9679806761564.05640927067812
0.62134.6986660730933.85382554648145
0.63135.4033352717143.68375861992033
0.64136.0878852841773.56033839482234
0.65136.7591597580783.48814101460113
0.66137.4234113763053.45972730653518
0.67138.0848155943003.45775381800481
0.68138.7442996685893.45753670843586
0.69139.3989127644703.43338056371774
0.7140.0418744286883.36233088752576
0.71140.6633140435223.22892960243831
0.72141.2515786155193.02697139159056
0.73141.7948716813542.76048706520807
0.74142.2829207946822.4422721449668
0.75142.7083721800372.09193521198786
0.76143.0676786846201.73204982548654
0.77143.3613632022461.38473161039475
0.78143.5936735205321.06845254062523
0.79143.7717617708540.796330535440117
0.8143.9045949591410.57478121972395
0.81144.0018198014190.404572866467316
0.82144.072770045660.281983305520484
0.83144.1257365485830.200390137376290
0.84144.1675452153560.152096595904412
0.85144.2034293964480.12851566089681
0.86144.2371576775510.120693093438522
0.87144.2713923163980.121090518601135
0.88144.3083082550360.125778233825447
0.89144.3505925588750.134279705162198
0.9144.403050067590.151365837376810
0.91144.4751025186660.189513194663428
0.92144.584344126590.270362307752989
0.93144.7607783851480.422496103972424
0.94145.0502016068500.674335422194363
0.95145.5134076698061.03891027322887
0.96146.2154407733001.48498665911231
0.97147.1953268135351.91564947886524
0.98148.4036296969702.20892017081810
0.99149.6151692634322.34225512341644

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 110.903984112287 & 0.20835797035112 \tabularnewline
0.02 & 111.089104465907 & 0.581737779977821 \tabularnewline
0.03 & 111.419567440072 & 0.970798837565757 \tabularnewline
0.04 & 111.867427170904 & 1.22514778301003 \tabularnewline
0.05 & 112.368728612666 & 1.28003790768506 \tabularnewline
0.06 & 112.853931275921 & 1.16188089638322 \tabularnewline
0.07 & 113.27219613363 & 0.94496907693208 \tabularnewline
0.08 & 113.600580325786 & 0.705405948791971 \tabularnewline
0.09 & 113.840512947925 & 0.49654106773556 \tabularnewline
0.1 & 114.008558508943 & 0.346267677518598 \tabularnewline
0.11 & 114.127385693723 & 0.267309124979783 \tabularnewline
0.12 & 114.219683343696 & 0.264802247883555 \tabularnewline
0.13 & 114.305165062023 & 0.327823529883084 \tabularnewline
0.14 & 114.399616165277 & 0.437689092214535 \tabularnewline
0.15 & 114.514857422512 & 0.580187446340767 \tabularnewline
0.16 & 114.658922614140 & 0.742779774566219 \tabularnewline
0.17 & 114.836212018878 & 0.912335840375436 \tabularnewline
0.18 & 115.047676394521 & 1.07534090994239 \tabularnewline
0.19 & 115.291172745869 & 1.21950657096138 \tabularnewline
0.2 & 115.562074496354 & 1.33595614235368 \tabularnewline
0.21 & 115.854102319028 & 1.41994760199218 \tabularnewline
0.22 & 116.160243456659 & 1.47138904568461 \tabularnewline
0.23 & 116.473590617238 & 1.49358026159473 \tabularnewline
0.24 & 116.787963505492 & 1.49165424323861 \tabularnewline
0.25 & 117.098254249616 & 1.47131300274601 \tabularnewline
0.26 & 117.400525502029 & 1.43700088186314 \tabularnewline
0.27 & 117.691952505033 & 1.39219188434429 \tabularnewline
0.28 & 117.970718803821 & 1.33992814175055 \tabularnewline
0.29 & 118.235950157926 & 1.28300848877902 \tabularnewline
0.3 & 118.487719122961 & 1.22595174763217 \tabularnewline
0.31 & 118.727097414870 & 1.17418936576398 \tabularnewline
0.32 & 118.956195613903 & 1.13504133202552 \tabularnewline
0.33 & 119.178121697091 & 1.11567730607207 \tabularnewline
0.34 & 119.39681132592 & 1.12240996818676 \tabularnewline
0.35 & 119.616724083250 & 1.15791213165468 \tabularnewline
0.36 & 119.842446104163 & 1.22116128902283 \tabularnewline
0.37 & 120.078275861672 & 1.30730723003834 \tabularnewline
0.38 & 120.327885370022 & 1.40963054346666 \tabularnewline
0.39 & 120.594139242861 & 1.52133886026482 \tabularnewline
0.4 & 120.879121189492 & 1.63705631199135 \tabularnewline
0.41 & 121.184369644079 & 1.75460300545879 \tabularnewline
0.42 & 121.511272805334 & 1.87511055977456 \tabularnewline
0.43 & 121.861530704911 & 2.00391108910597 \tabularnewline
0.44 & 122.237568332516 & 2.1486371047922 \tabularnewline
0.45 & 122.64278537983 & 2.31800650222381 \tabularnewline
0.46 & 123.081555279724 & 2.51951046678984 \tabularnewline
0.47 & 123.558933674448 & 2.75687019237879 \tabularnewline
0.48 & 124.080094527339 & 3.02799370986217 \tabularnewline
0.49 & 124.649568845282 & 3.32551483600075 \tabularnewline
0.5 & 125.270404948243 & 3.6357327072203 \tabularnewline
0.51 & 125.943391948178 & 3.94216204147888 \tabularnewline
0.52 & 126.666485747123 & 4.22545106277204 \tabularnewline
0.53 & 127.434550604009 & 4.46674609738744 \tabularnewline
0.54 & 128.239484485304 & 4.64929648937506 \tabularnewline
0.55 & 129.070740831842 & 4.76069684523489 \tabularnewline
0.56 & 129.916201488751 & 4.79475369165514 \tabularnewline
0.57 & 130.763302958053 & 4.7517924699466 \tabularnewline
0.58 & 131.600276907189 & 4.63973175206897 \tabularnewline
0.59 & 132.417340581600 & 4.47262637358854 \tabularnewline
0.6 & 133.207666943579 & 4.27052929908188 \tabularnewline
0.61 & 133.967980676156 & 4.05640927067812 \tabularnewline
0.62 & 134.698666073093 & 3.85382554648145 \tabularnewline
0.63 & 135.403335271714 & 3.68375861992033 \tabularnewline
0.64 & 136.087885284177 & 3.56033839482234 \tabularnewline
0.65 & 136.759159758078 & 3.48814101460113 \tabularnewline
0.66 & 137.423411376305 & 3.45972730653518 \tabularnewline
0.67 & 138.084815594300 & 3.45775381800481 \tabularnewline
0.68 & 138.744299668589 & 3.45753670843586 \tabularnewline
0.69 & 139.398912764470 & 3.43338056371774 \tabularnewline
0.7 & 140.041874428688 & 3.36233088752576 \tabularnewline
0.71 & 140.663314043522 & 3.22892960243831 \tabularnewline
0.72 & 141.251578615519 & 3.02697139159056 \tabularnewline
0.73 & 141.794871681354 & 2.76048706520807 \tabularnewline
0.74 & 142.282920794682 & 2.4422721449668 \tabularnewline
0.75 & 142.708372180037 & 2.09193521198786 \tabularnewline
0.76 & 143.067678684620 & 1.73204982548654 \tabularnewline
0.77 & 143.361363202246 & 1.38473161039475 \tabularnewline
0.78 & 143.593673520532 & 1.06845254062523 \tabularnewline
0.79 & 143.771761770854 & 0.796330535440117 \tabularnewline
0.8 & 143.904594959141 & 0.57478121972395 \tabularnewline
0.81 & 144.001819801419 & 0.404572866467316 \tabularnewline
0.82 & 144.07277004566 & 0.281983305520484 \tabularnewline
0.83 & 144.125736548583 & 0.200390137376290 \tabularnewline
0.84 & 144.167545215356 & 0.152096595904412 \tabularnewline
0.85 & 144.203429396448 & 0.12851566089681 \tabularnewline
0.86 & 144.237157677551 & 0.120693093438522 \tabularnewline
0.87 & 144.271392316398 & 0.121090518601135 \tabularnewline
0.88 & 144.308308255036 & 0.125778233825447 \tabularnewline
0.89 & 144.350592558875 & 0.134279705162198 \tabularnewline
0.9 & 144.40305006759 & 0.151365837376810 \tabularnewline
0.91 & 144.475102518666 & 0.189513194663428 \tabularnewline
0.92 & 144.58434412659 & 0.270362307752989 \tabularnewline
0.93 & 144.760778385148 & 0.422496103972424 \tabularnewline
0.94 & 145.050201606850 & 0.674335422194363 \tabularnewline
0.95 & 145.513407669806 & 1.03891027322887 \tabularnewline
0.96 & 146.215440773300 & 1.48498665911231 \tabularnewline
0.97 & 147.195326813535 & 1.91564947886524 \tabularnewline
0.98 & 148.403629696970 & 2.20892017081810 \tabularnewline
0.99 & 149.615169263432 & 2.34225512341644 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=10058&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]110.903984112287[/C][C]0.20835797035112[/C][/ROW]
[ROW][C]0.02[/C][C]111.089104465907[/C][C]0.581737779977821[/C][/ROW]
[ROW][C]0.03[/C][C]111.419567440072[/C][C]0.970798837565757[/C][/ROW]
[ROW][C]0.04[/C][C]111.867427170904[/C][C]1.22514778301003[/C][/ROW]
[ROW][C]0.05[/C][C]112.368728612666[/C][C]1.28003790768506[/C][/ROW]
[ROW][C]0.06[/C][C]112.853931275921[/C][C]1.16188089638322[/C][/ROW]
[ROW][C]0.07[/C][C]113.27219613363[/C][C]0.94496907693208[/C][/ROW]
[ROW][C]0.08[/C][C]113.600580325786[/C][C]0.705405948791971[/C][/ROW]
[ROW][C]0.09[/C][C]113.840512947925[/C][C]0.49654106773556[/C][/ROW]
[ROW][C]0.1[/C][C]114.008558508943[/C][C]0.346267677518598[/C][/ROW]
[ROW][C]0.11[/C][C]114.127385693723[/C][C]0.267309124979783[/C][/ROW]
[ROW][C]0.12[/C][C]114.219683343696[/C][C]0.264802247883555[/C][/ROW]
[ROW][C]0.13[/C][C]114.305165062023[/C][C]0.327823529883084[/C][/ROW]
[ROW][C]0.14[/C][C]114.399616165277[/C][C]0.437689092214535[/C][/ROW]
[ROW][C]0.15[/C][C]114.514857422512[/C][C]0.580187446340767[/C][/ROW]
[ROW][C]0.16[/C][C]114.658922614140[/C][C]0.742779774566219[/C][/ROW]
[ROW][C]0.17[/C][C]114.836212018878[/C][C]0.912335840375436[/C][/ROW]
[ROW][C]0.18[/C][C]115.047676394521[/C][C]1.07534090994239[/C][/ROW]
[ROW][C]0.19[/C][C]115.291172745869[/C][C]1.21950657096138[/C][/ROW]
[ROW][C]0.2[/C][C]115.562074496354[/C][C]1.33595614235368[/C][/ROW]
[ROW][C]0.21[/C][C]115.854102319028[/C][C]1.41994760199218[/C][/ROW]
[ROW][C]0.22[/C][C]116.160243456659[/C][C]1.47138904568461[/C][/ROW]
[ROW][C]0.23[/C][C]116.473590617238[/C][C]1.49358026159473[/C][/ROW]
[ROW][C]0.24[/C][C]116.787963505492[/C][C]1.49165424323861[/C][/ROW]
[ROW][C]0.25[/C][C]117.098254249616[/C][C]1.47131300274601[/C][/ROW]
[ROW][C]0.26[/C][C]117.400525502029[/C][C]1.43700088186314[/C][/ROW]
[ROW][C]0.27[/C][C]117.691952505033[/C][C]1.39219188434429[/C][/ROW]
[ROW][C]0.28[/C][C]117.970718803821[/C][C]1.33992814175055[/C][/ROW]
[ROW][C]0.29[/C][C]118.235950157926[/C][C]1.28300848877902[/C][/ROW]
[ROW][C]0.3[/C][C]118.487719122961[/C][C]1.22595174763217[/C][/ROW]
[ROW][C]0.31[/C][C]118.727097414870[/C][C]1.17418936576398[/C][/ROW]
[ROW][C]0.32[/C][C]118.956195613903[/C][C]1.13504133202552[/C][/ROW]
[ROW][C]0.33[/C][C]119.178121697091[/C][C]1.11567730607207[/C][/ROW]
[ROW][C]0.34[/C][C]119.39681132592[/C][C]1.12240996818676[/C][/ROW]
[ROW][C]0.35[/C][C]119.616724083250[/C][C]1.15791213165468[/C][/ROW]
[ROW][C]0.36[/C][C]119.842446104163[/C][C]1.22116128902283[/C][/ROW]
[ROW][C]0.37[/C][C]120.078275861672[/C][C]1.30730723003834[/C][/ROW]
[ROW][C]0.38[/C][C]120.327885370022[/C][C]1.40963054346666[/C][/ROW]
[ROW][C]0.39[/C][C]120.594139242861[/C][C]1.52133886026482[/C][/ROW]
[ROW][C]0.4[/C][C]120.879121189492[/C][C]1.63705631199135[/C][/ROW]
[ROW][C]0.41[/C][C]121.184369644079[/C][C]1.75460300545879[/C][/ROW]
[ROW][C]0.42[/C][C]121.511272805334[/C][C]1.87511055977456[/C][/ROW]
[ROW][C]0.43[/C][C]121.861530704911[/C][C]2.00391108910597[/C][/ROW]
[ROW][C]0.44[/C][C]122.237568332516[/C][C]2.1486371047922[/C][/ROW]
[ROW][C]0.45[/C][C]122.64278537983[/C][C]2.31800650222381[/C][/ROW]
[ROW][C]0.46[/C][C]123.081555279724[/C][C]2.51951046678984[/C][/ROW]
[ROW][C]0.47[/C][C]123.558933674448[/C][C]2.75687019237879[/C][/ROW]
[ROW][C]0.48[/C][C]124.080094527339[/C][C]3.02799370986217[/C][/ROW]
[ROW][C]0.49[/C][C]124.649568845282[/C][C]3.32551483600075[/C][/ROW]
[ROW][C]0.5[/C][C]125.270404948243[/C][C]3.6357327072203[/C][/ROW]
[ROW][C]0.51[/C][C]125.943391948178[/C][C]3.94216204147888[/C][/ROW]
[ROW][C]0.52[/C][C]126.666485747123[/C][C]4.22545106277204[/C][/ROW]
[ROW][C]0.53[/C][C]127.434550604009[/C][C]4.46674609738744[/C][/ROW]
[ROW][C]0.54[/C][C]128.239484485304[/C][C]4.64929648937506[/C][/ROW]
[ROW][C]0.55[/C][C]129.070740831842[/C][C]4.76069684523489[/C][/ROW]
[ROW][C]0.56[/C][C]129.916201488751[/C][C]4.79475369165514[/C][/ROW]
[ROW][C]0.57[/C][C]130.763302958053[/C][C]4.7517924699466[/C][/ROW]
[ROW][C]0.58[/C][C]131.600276907189[/C][C]4.63973175206897[/C][/ROW]
[ROW][C]0.59[/C][C]132.417340581600[/C][C]4.47262637358854[/C][/ROW]
[ROW][C]0.6[/C][C]133.207666943579[/C][C]4.27052929908188[/C][/ROW]
[ROW][C]0.61[/C][C]133.967980676156[/C][C]4.05640927067812[/C][/ROW]
[ROW][C]0.62[/C][C]134.698666073093[/C][C]3.85382554648145[/C][/ROW]
[ROW][C]0.63[/C][C]135.403335271714[/C][C]3.68375861992033[/C][/ROW]
[ROW][C]0.64[/C][C]136.087885284177[/C][C]3.56033839482234[/C][/ROW]
[ROW][C]0.65[/C][C]136.759159758078[/C][C]3.48814101460113[/C][/ROW]
[ROW][C]0.66[/C][C]137.423411376305[/C][C]3.45972730653518[/C][/ROW]
[ROW][C]0.67[/C][C]138.084815594300[/C][C]3.45775381800481[/C][/ROW]
[ROW][C]0.68[/C][C]138.744299668589[/C][C]3.45753670843586[/C][/ROW]
[ROW][C]0.69[/C][C]139.398912764470[/C][C]3.43338056371774[/C][/ROW]
[ROW][C]0.7[/C][C]140.041874428688[/C][C]3.36233088752576[/C][/ROW]
[ROW][C]0.71[/C][C]140.663314043522[/C][C]3.22892960243831[/C][/ROW]
[ROW][C]0.72[/C][C]141.251578615519[/C][C]3.02697139159056[/C][/ROW]
[ROW][C]0.73[/C][C]141.794871681354[/C][C]2.76048706520807[/C][/ROW]
[ROW][C]0.74[/C][C]142.282920794682[/C][C]2.4422721449668[/C][/ROW]
[ROW][C]0.75[/C][C]142.708372180037[/C][C]2.09193521198786[/C][/ROW]
[ROW][C]0.76[/C][C]143.067678684620[/C][C]1.73204982548654[/C][/ROW]
[ROW][C]0.77[/C][C]143.361363202246[/C][C]1.38473161039475[/C][/ROW]
[ROW][C]0.78[/C][C]143.593673520532[/C][C]1.06845254062523[/C][/ROW]
[ROW][C]0.79[/C][C]143.771761770854[/C][C]0.796330535440117[/C][/ROW]
[ROW][C]0.8[/C][C]143.904594959141[/C][C]0.57478121972395[/C][/ROW]
[ROW][C]0.81[/C][C]144.001819801419[/C][C]0.404572866467316[/C][/ROW]
[ROW][C]0.82[/C][C]144.07277004566[/C][C]0.281983305520484[/C][/ROW]
[ROW][C]0.83[/C][C]144.125736548583[/C][C]0.200390137376290[/C][/ROW]
[ROW][C]0.84[/C][C]144.167545215356[/C][C]0.152096595904412[/C][/ROW]
[ROW][C]0.85[/C][C]144.203429396448[/C][C]0.12851566089681[/C][/ROW]
[ROW][C]0.86[/C][C]144.237157677551[/C][C]0.120693093438522[/C][/ROW]
[ROW][C]0.87[/C][C]144.271392316398[/C][C]0.121090518601135[/C][/ROW]
[ROW][C]0.88[/C][C]144.308308255036[/C][C]0.125778233825447[/C][/ROW]
[ROW][C]0.89[/C][C]144.350592558875[/C][C]0.134279705162198[/C][/ROW]
[ROW][C]0.9[/C][C]144.40305006759[/C][C]0.151365837376810[/C][/ROW]
[ROW][C]0.91[/C][C]144.475102518666[/C][C]0.189513194663428[/C][/ROW]
[ROW][C]0.92[/C][C]144.58434412659[/C][C]0.270362307752989[/C][/ROW]
[ROW][C]0.93[/C][C]144.760778385148[/C][C]0.422496103972424[/C][/ROW]
[ROW][C]0.94[/C][C]145.050201606850[/C][C]0.674335422194363[/C][/ROW]
[ROW][C]0.95[/C][C]145.513407669806[/C][C]1.03891027322887[/C][/ROW]
[ROW][C]0.96[/C][C]146.215440773300[/C][C]1.48498665911231[/C][/ROW]
[ROW][C]0.97[/C][C]147.195326813535[/C][C]1.91564947886524[/C][/ROW]
[ROW][C]0.98[/C][C]148.403629696970[/C][C]2.20892017081810[/C][/ROW]
[ROW][C]0.99[/C][C]149.615169263432[/C][C]2.34225512341644[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=10058&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=10058&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
0.01110.9039841122870.20835797035112
0.02111.0891044659070.581737779977821
0.03111.4195674400720.970798837565757
0.04111.8674271709041.22514778301003
0.05112.3687286126661.28003790768506
0.06112.8539312759211.16188089638322
0.07113.272196133630.94496907693208
0.08113.6005803257860.705405948791971
0.09113.8405129479250.49654106773556
0.1114.0085585089430.346267677518598
0.11114.1273856937230.267309124979783
0.12114.2196833436960.264802247883555
0.13114.3051650620230.327823529883084
0.14114.3996161652770.437689092214535
0.15114.5148574225120.580187446340767
0.16114.6589226141400.742779774566219
0.17114.8362120188780.912335840375436
0.18115.0476763945211.07534090994239
0.19115.2911727458691.21950657096138
0.2115.5620744963541.33595614235368
0.21115.8541023190281.41994760199218
0.22116.1602434566591.47138904568461
0.23116.4735906172381.49358026159473
0.24116.7879635054921.49165424323861
0.25117.0982542496161.47131300274601
0.26117.4005255020291.43700088186314
0.27117.6919525050331.39219188434429
0.28117.9707188038211.33992814175055
0.29118.2359501579261.28300848877902
0.3118.4877191229611.22595174763217
0.31118.7270974148701.17418936576398
0.32118.9561956139031.13504133202552
0.33119.1781216970911.11567730607207
0.34119.396811325921.12240996818676
0.35119.6167240832501.15791213165468
0.36119.8424461041631.22116128902283
0.37120.0782758616721.30730723003834
0.38120.3278853700221.40963054346666
0.39120.5941392428611.52133886026482
0.4120.8791211894921.63705631199135
0.41121.1843696440791.75460300545879
0.42121.5112728053341.87511055977456
0.43121.8615307049112.00391108910597
0.44122.2375683325162.1486371047922
0.45122.642785379832.31800650222381
0.46123.0815552797242.51951046678984
0.47123.5589336744482.75687019237879
0.48124.0800945273393.02799370986217
0.49124.6495688452823.32551483600075
0.5125.2704049482433.6357327072203
0.51125.9433919481783.94216204147888
0.52126.6664857471234.22545106277204
0.53127.4345506040094.46674609738744
0.54128.2394844853044.64929648937506
0.55129.0707408318424.76069684523489
0.56129.9162014887514.79475369165514
0.57130.7633029580534.7517924699466
0.58131.6002769071894.63973175206897
0.59132.4173405816004.47262637358854
0.6133.2076669435794.27052929908188
0.61133.9679806761564.05640927067812
0.62134.6986660730933.85382554648145
0.63135.4033352717143.68375861992033
0.64136.0878852841773.56033839482234
0.65136.7591597580783.48814101460113
0.66137.4234113763053.45972730653518
0.67138.0848155943003.45775381800481
0.68138.7442996685893.45753670843586
0.69139.3989127644703.43338056371774
0.7140.0418744286883.36233088752576
0.71140.6633140435223.22892960243831
0.72141.2515786155193.02697139159056
0.73141.7948716813542.76048706520807
0.74142.2829207946822.4422721449668
0.75142.7083721800372.09193521198786
0.76143.0676786846201.73204982548654
0.77143.3613632022461.38473161039475
0.78143.5936735205321.06845254062523
0.79143.7717617708540.796330535440117
0.8143.9045949591410.57478121972395
0.81144.0018198014190.404572866467316
0.82144.072770045660.281983305520484
0.83144.1257365485830.200390137376290
0.84144.1675452153560.152096595904412
0.85144.2034293964480.12851566089681
0.86144.2371576775510.120693093438522
0.87144.2713923163980.121090518601135
0.88144.3083082550360.125778233825447
0.89144.3505925588750.134279705162198
0.9144.403050067590.151365837376810
0.91144.4751025186660.189513194663428
0.92144.584344126590.270362307752989
0.93144.7607783851480.422496103972424
0.94145.0502016068500.674335422194363
0.95145.5134076698061.03891027322887
0.96146.2154407733001.48498665911231
0.97147.1953268135351.91564947886524
0.98148.4036296969702.20892017081810
0.99149.6151692634322.34225512341644


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')