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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 computationFri, 14 Feb 2014 15:49:37 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Feb/14/t1392410994wz76ocs72qksifa.htm/, Retrieved Wed, 15 May 2024 03:35:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=233670, Retrieved Wed, 15 May 2024 03:35:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact91

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] [] [2014-02-14 20:49:37] [bc62d516d7cc59b06dcff229811e1a47] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
99.7
107.5
107.5
114.5
118.7
117.8
111.7
112.3
104.9
102.4
100.3
106.6
94.2
96.9
94.7
104.9
108.3
104.7
108.3
105.2
99.2
99.3
92.3
98.6
88.4
89.5
90.5
103.5
105.1
107.1
111.6
104.6
103.3
104.6
94.1
97.7
92.4
89.5
100.1
109.6
105.5
108.9
108.8
103.9
104.3
102.1
96.6
101.4
90.4
91.8
100.4
105.3
105.1
107.6
103.7
102.7
99.2
95.6
96.3
104.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233670&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]3 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=233670&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233670&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 time3 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0188.63792734049060.913167131100864
0.0288.98290091738810.735400548788867
0.0389.3473319587210.669145448036168
0.0489.69648747622010.733143769262942
0.0590.03487029174080.861726717300784
0.0690.37730717547111.00165968012653
0.0790.73337310778021.13046154232793
0.0891.10505222262511.24113989157574
0.0991.48967968715951.33336730447915
0.191.88300869648061.40883420146283
0.1192.28092853977851.47064186894013
0.1292.68007380317641.52067008307185
0.1393.07786921617611.5603898917355
0.1493.47238414680261.59051996191024
0.1593.86217536629741.61209262270428
0.1694.24617551960951.62638212314356
0.1794.62362369880271.63504533850797
0.1894.99401172923651.63936707862207
0.1995.35702152615611.64031823082485
0.295.7124437076041.63824800096929
0.2196.06008474536811.63297185771774
0.2296.39968159988121.62367079459619
0.2396.7308459498541.60912487789022
0.2497.05305547388771.58849468847907
0.2597.36569970939191.56104684986383
0.2697.66817579380871.5268869566707
0.2797.96001774514161.48719068481265
0.2898.24103439717041.44427461490227
0.2998.51142759838831.40100080977241
0.398.77186471007331.36122848210642
0.3199.02348733968361.32850739349845
0.3299.26784985113621.30566448294385
0.3399.50679389574371.29460879817766
0.3499.74227629207991.29569263060352
0.3599.97617493467291.30767435401202
0.36100.2100999589971.32800268468856
0.37100.4452351936311.35298409893967
0.38100.6822289614161.37887481468686
0.39100.9211450476081.40155696268782
0.4101.1614757548161.41755766061769
0.41101.4022108401691.42418501454176
0.42101.6419498291631.41938930534827
0.43101.8790413255721.40249085640446
0.44102.1117316585721.37352026785082
0.45102.3383063301231.3333031767834
0.46102.5572107709021.28349684970808
0.47102.7671412265811.22612962137764
0.48102.9671014495521.16327189210029
0.49103.1564255662711.09730919567056
0.5103.334771448751.03001851119131
0.51103.5020917448920.963333396672812
0.52103.6585912329180.898621782746965
0.53103.8046793809290.836833392031765
0.54103.9409260981890.778818084340622
0.55104.0680269464880.724982345001665
0.56104.1867818568070.675828476695707
0.57104.2980889572590.631714608756432
0.58104.4029526809830.593154705962941
0.59104.5025030247150.560784250530549
0.6104.5980207521930.535783160718188
0.61104.6909615622490.519104881577794
0.62104.7829709152420.512201987492311
0.63104.87588059440.516539783573799
0.64104.9716785499240.53312405518989
0.65105.0724455600950.5624062896399
0.66105.1802560706980.604158183852092
0.67105.2970462627270.656874331397507
0.68105.42445946960.717912162632237
0.69105.5636864366020.783940037754637
0.7105.7153239775250.850713018789061
0.71105.8792785045410.91356961456833
0.72106.0547391418360.968223182774053
0.73106.2402380155061.01074344073926
0.74106.4338035244691.03850892014616
0.75106.633198080821.05046240424894
0.76106.8362181327761.0475004355361
0.77107.041024473571.03222791097968
0.78107.2464669018771.00889162667643
0.79107.4523689605570.983190874177626
0.8107.6597429983120.961431368200029
0.81107.8709092034830.950190181241561
0.82108.0894921170340.955787276031512
0.83108.3202670510130.983235299401231
0.84108.5688368475461.03540992353712
0.85108.8411524901011.1118183579513
0.86109.142963297951.20778611630011
0.87109.4793912805081.31464412456696
0.88109.8549329708241.42185757779088
0.89110.274218761661.52090908197104
0.9110.7436870392431.61074476160704
0.91111.2738505459641.70285450402811
0.92111.8810372007671.82185914157935
0.93112.586596275351.99399271836507
0.94113.4111360338222.22262130248933
0.95114.3622659460292.4594858320905
0.96115.4172875670722.59341474208018
0.97116.5070390557352.47810575914137
0.98117.5118266956862.02526184126656
0.99118.2827692354661.35950425245551

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 88.6379273404906 & 0.913167131100864 \tabularnewline
0.02 & 88.9829009173881 & 0.735400548788867 \tabularnewline
0.03 & 89.347331958721 & 0.669145448036168 \tabularnewline
0.04 & 89.6964874762201 & 0.733143769262942 \tabularnewline
0.05 & 90.0348702917408 & 0.861726717300784 \tabularnewline
0.06 & 90.3773071754711 & 1.00165968012653 \tabularnewline
0.07 & 90.7333731077802 & 1.13046154232793 \tabularnewline
0.08 & 91.1050522226251 & 1.24113989157574 \tabularnewline
0.09 & 91.4896796871595 & 1.33336730447915 \tabularnewline
0.1 & 91.8830086964806 & 1.40883420146283 \tabularnewline
0.11 & 92.2809285397785 & 1.47064186894013 \tabularnewline
0.12 & 92.6800738031764 & 1.52067008307185 \tabularnewline
0.13 & 93.0778692161761 & 1.5603898917355 \tabularnewline
0.14 & 93.4723841468026 & 1.59051996191024 \tabularnewline
0.15 & 93.8621753662974 & 1.61209262270428 \tabularnewline
0.16 & 94.2461755196095 & 1.62638212314356 \tabularnewline
0.17 & 94.6236236988027 & 1.63504533850797 \tabularnewline
0.18 & 94.9940117292365 & 1.63936707862207 \tabularnewline
0.19 & 95.3570215261561 & 1.64031823082485 \tabularnewline
0.2 & 95.712443707604 & 1.63824800096929 \tabularnewline
0.21 & 96.0600847453681 & 1.63297185771774 \tabularnewline
0.22 & 96.3996815998812 & 1.62367079459619 \tabularnewline
0.23 & 96.730845949854 & 1.60912487789022 \tabularnewline
0.24 & 97.0530554738877 & 1.58849468847907 \tabularnewline
0.25 & 97.3656997093919 & 1.56104684986383 \tabularnewline
0.26 & 97.6681757938087 & 1.5268869566707 \tabularnewline
0.27 & 97.9600177451416 & 1.48719068481265 \tabularnewline
0.28 & 98.2410343971704 & 1.44427461490227 \tabularnewline
0.29 & 98.5114275983883 & 1.40100080977241 \tabularnewline
0.3 & 98.7718647100733 & 1.36122848210642 \tabularnewline
0.31 & 99.0234873396836 & 1.32850739349845 \tabularnewline
0.32 & 99.2678498511362 & 1.30566448294385 \tabularnewline
0.33 & 99.5067938957437 & 1.29460879817766 \tabularnewline
0.34 & 99.7422762920799 & 1.29569263060352 \tabularnewline
0.35 & 99.9761749346729 & 1.30767435401202 \tabularnewline
0.36 & 100.210099958997 & 1.32800268468856 \tabularnewline
0.37 & 100.445235193631 & 1.35298409893967 \tabularnewline
0.38 & 100.682228961416 & 1.37887481468686 \tabularnewline
0.39 & 100.921145047608 & 1.40155696268782 \tabularnewline
0.4 & 101.161475754816 & 1.41755766061769 \tabularnewline
0.41 & 101.402210840169 & 1.42418501454176 \tabularnewline
0.42 & 101.641949829163 & 1.41938930534827 \tabularnewline
0.43 & 101.879041325572 & 1.40249085640446 \tabularnewline
0.44 & 102.111731658572 & 1.37352026785082 \tabularnewline
0.45 & 102.338306330123 & 1.3333031767834 \tabularnewline
0.46 & 102.557210770902 & 1.28349684970808 \tabularnewline
0.47 & 102.767141226581 & 1.22612962137764 \tabularnewline
0.48 & 102.967101449552 & 1.16327189210029 \tabularnewline
0.49 & 103.156425566271 & 1.09730919567056 \tabularnewline
0.5 & 103.33477144875 & 1.03001851119131 \tabularnewline
0.51 & 103.502091744892 & 0.963333396672812 \tabularnewline
0.52 & 103.658591232918 & 0.898621782746965 \tabularnewline
0.53 & 103.804679380929 & 0.836833392031765 \tabularnewline
0.54 & 103.940926098189 & 0.778818084340622 \tabularnewline
0.55 & 104.068026946488 & 0.724982345001665 \tabularnewline
0.56 & 104.186781856807 & 0.675828476695707 \tabularnewline
0.57 & 104.298088957259 & 0.631714608756432 \tabularnewline
0.58 & 104.402952680983 & 0.593154705962941 \tabularnewline
0.59 & 104.502503024715 & 0.560784250530549 \tabularnewline
0.6 & 104.598020752193 & 0.535783160718188 \tabularnewline
0.61 & 104.690961562249 & 0.519104881577794 \tabularnewline
0.62 & 104.782970915242 & 0.512201987492311 \tabularnewline
0.63 & 104.8758805944 & 0.516539783573799 \tabularnewline
0.64 & 104.971678549924 & 0.53312405518989 \tabularnewline
0.65 & 105.072445560095 & 0.5624062896399 \tabularnewline
0.66 & 105.180256070698 & 0.604158183852092 \tabularnewline
0.67 & 105.297046262727 & 0.656874331397507 \tabularnewline
0.68 & 105.4244594696 & 0.717912162632237 \tabularnewline
0.69 & 105.563686436602 & 0.783940037754637 \tabularnewline
0.7 & 105.715323977525 & 0.850713018789061 \tabularnewline
0.71 & 105.879278504541 & 0.91356961456833 \tabularnewline
0.72 & 106.054739141836 & 0.968223182774053 \tabularnewline
0.73 & 106.240238015506 & 1.01074344073926 \tabularnewline
0.74 & 106.433803524469 & 1.03850892014616 \tabularnewline
0.75 & 106.63319808082 & 1.05046240424894 \tabularnewline
0.76 & 106.836218132776 & 1.0475004355361 \tabularnewline
0.77 & 107.04102447357 & 1.03222791097968 \tabularnewline
0.78 & 107.246466901877 & 1.00889162667643 \tabularnewline
0.79 & 107.452368960557 & 0.983190874177626 \tabularnewline
0.8 & 107.659742998312 & 0.961431368200029 \tabularnewline
0.81 & 107.870909203483 & 0.950190181241561 \tabularnewline
0.82 & 108.089492117034 & 0.955787276031512 \tabularnewline
0.83 & 108.320267051013 & 0.983235299401231 \tabularnewline
0.84 & 108.568836847546 & 1.03540992353712 \tabularnewline
0.85 & 108.841152490101 & 1.1118183579513 \tabularnewline
0.86 & 109.14296329795 & 1.20778611630011 \tabularnewline
0.87 & 109.479391280508 & 1.31464412456696 \tabularnewline
0.88 & 109.854932970824 & 1.42185757779088 \tabularnewline
0.89 & 110.27421876166 & 1.52090908197104 \tabularnewline
0.9 & 110.743687039243 & 1.61074476160704 \tabularnewline
0.91 & 111.273850545964 & 1.70285450402811 \tabularnewline
0.92 & 111.881037200767 & 1.82185914157935 \tabularnewline
0.93 & 112.58659627535 & 1.99399271836507 \tabularnewline
0.94 & 113.411136033822 & 2.22262130248933 \tabularnewline
0.95 & 114.362265946029 & 2.4594858320905 \tabularnewline
0.96 & 115.417287567072 & 2.59341474208018 \tabularnewline
0.97 & 116.507039055735 & 2.47810575914137 \tabularnewline
0.98 & 117.511826695686 & 2.02526184126656 \tabularnewline
0.99 & 118.282769235466 & 1.35950425245551 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=233670&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]88.6379273404906[/C][C]0.913167131100864[/C][/ROW]
[ROW][C]0.02[/C][C]88.9829009173881[/C][C]0.735400548788867[/C][/ROW]
[ROW][C]0.03[/C][C]89.347331958721[/C][C]0.669145448036168[/C][/ROW]
[ROW][C]0.04[/C][C]89.6964874762201[/C][C]0.733143769262942[/C][/ROW]
[ROW][C]0.05[/C][C]90.0348702917408[/C][C]0.861726717300784[/C][/ROW]
[ROW][C]0.06[/C][C]90.3773071754711[/C][C]1.00165968012653[/C][/ROW]
[ROW][C]0.07[/C][C]90.7333731077802[/C][C]1.13046154232793[/C][/ROW]
[ROW][C]0.08[/C][C]91.1050522226251[/C][C]1.24113989157574[/C][/ROW]
[ROW][C]0.09[/C][C]91.4896796871595[/C][C]1.33336730447915[/C][/ROW]
[ROW][C]0.1[/C][C]91.8830086964806[/C][C]1.40883420146283[/C][/ROW]
[ROW][C]0.11[/C][C]92.2809285397785[/C][C]1.47064186894013[/C][/ROW]
[ROW][C]0.12[/C][C]92.6800738031764[/C][C]1.52067008307185[/C][/ROW]
[ROW][C]0.13[/C][C]93.0778692161761[/C][C]1.5603898917355[/C][/ROW]
[ROW][C]0.14[/C][C]93.4723841468026[/C][C]1.59051996191024[/C][/ROW]
[ROW][C]0.15[/C][C]93.8621753662974[/C][C]1.61209262270428[/C][/ROW]
[ROW][C]0.16[/C][C]94.2461755196095[/C][C]1.62638212314356[/C][/ROW]
[ROW][C]0.17[/C][C]94.6236236988027[/C][C]1.63504533850797[/C][/ROW]
[ROW][C]0.18[/C][C]94.9940117292365[/C][C]1.63936707862207[/C][/ROW]
[ROW][C]0.19[/C][C]95.3570215261561[/C][C]1.64031823082485[/C][/ROW]
[ROW][C]0.2[/C][C]95.712443707604[/C][C]1.63824800096929[/C][/ROW]
[ROW][C]0.21[/C][C]96.0600847453681[/C][C]1.63297185771774[/C][/ROW]
[ROW][C]0.22[/C][C]96.3996815998812[/C][C]1.62367079459619[/C][/ROW]
[ROW][C]0.23[/C][C]96.730845949854[/C][C]1.60912487789022[/C][/ROW]
[ROW][C]0.24[/C][C]97.0530554738877[/C][C]1.58849468847907[/C][/ROW]
[ROW][C]0.25[/C][C]97.3656997093919[/C][C]1.56104684986383[/C][/ROW]
[ROW][C]0.26[/C][C]97.6681757938087[/C][C]1.5268869566707[/C][/ROW]
[ROW][C]0.27[/C][C]97.9600177451416[/C][C]1.48719068481265[/C][/ROW]
[ROW][C]0.28[/C][C]98.2410343971704[/C][C]1.44427461490227[/C][/ROW]
[ROW][C]0.29[/C][C]98.5114275983883[/C][C]1.40100080977241[/C][/ROW]
[ROW][C]0.3[/C][C]98.7718647100733[/C][C]1.36122848210642[/C][/ROW]
[ROW][C]0.31[/C][C]99.0234873396836[/C][C]1.32850739349845[/C][/ROW]
[ROW][C]0.32[/C][C]99.2678498511362[/C][C]1.30566448294385[/C][/ROW]
[ROW][C]0.33[/C][C]99.5067938957437[/C][C]1.29460879817766[/C][/ROW]
[ROW][C]0.34[/C][C]99.7422762920799[/C][C]1.29569263060352[/C][/ROW]
[ROW][C]0.35[/C][C]99.9761749346729[/C][C]1.30767435401202[/C][/ROW]
[ROW][C]0.36[/C][C]100.210099958997[/C][C]1.32800268468856[/C][/ROW]
[ROW][C]0.37[/C][C]100.445235193631[/C][C]1.35298409893967[/C][/ROW]
[ROW][C]0.38[/C][C]100.682228961416[/C][C]1.37887481468686[/C][/ROW]
[ROW][C]0.39[/C][C]100.921145047608[/C][C]1.40155696268782[/C][/ROW]
[ROW][C]0.4[/C][C]101.161475754816[/C][C]1.41755766061769[/C][/ROW]
[ROW][C]0.41[/C][C]101.402210840169[/C][C]1.42418501454176[/C][/ROW]
[ROW][C]0.42[/C][C]101.641949829163[/C][C]1.41938930534827[/C][/ROW]
[ROW][C]0.43[/C][C]101.879041325572[/C][C]1.40249085640446[/C][/ROW]
[ROW][C]0.44[/C][C]102.111731658572[/C][C]1.37352026785082[/C][/ROW]
[ROW][C]0.45[/C][C]102.338306330123[/C][C]1.3333031767834[/C][/ROW]
[ROW][C]0.46[/C][C]102.557210770902[/C][C]1.28349684970808[/C][/ROW]
[ROW][C]0.47[/C][C]102.767141226581[/C][C]1.22612962137764[/C][/ROW]
[ROW][C]0.48[/C][C]102.967101449552[/C][C]1.16327189210029[/C][/ROW]
[ROW][C]0.49[/C][C]103.156425566271[/C][C]1.09730919567056[/C][/ROW]
[ROW][C]0.5[/C][C]103.33477144875[/C][C]1.03001851119131[/C][/ROW]
[ROW][C]0.51[/C][C]103.502091744892[/C][C]0.963333396672812[/C][/ROW]
[ROW][C]0.52[/C][C]103.658591232918[/C][C]0.898621782746965[/C][/ROW]
[ROW][C]0.53[/C][C]103.804679380929[/C][C]0.836833392031765[/C][/ROW]
[ROW][C]0.54[/C][C]103.940926098189[/C][C]0.778818084340622[/C][/ROW]
[ROW][C]0.55[/C][C]104.068026946488[/C][C]0.724982345001665[/C][/ROW]
[ROW][C]0.56[/C][C]104.186781856807[/C][C]0.675828476695707[/C][/ROW]
[ROW][C]0.57[/C][C]104.298088957259[/C][C]0.631714608756432[/C][/ROW]
[ROW][C]0.58[/C][C]104.402952680983[/C][C]0.593154705962941[/C][/ROW]
[ROW][C]0.59[/C][C]104.502503024715[/C][C]0.560784250530549[/C][/ROW]
[ROW][C]0.6[/C][C]104.598020752193[/C][C]0.535783160718188[/C][/ROW]
[ROW][C]0.61[/C][C]104.690961562249[/C][C]0.519104881577794[/C][/ROW]
[ROW][C]0.62[/C][C]104.782970915242[/C][C]0.512201987492311[/C][/ROW]
[ROW][C]0.63[/C][C]104.8758805944[/C][C]0.516539783573799[/C][/ROW]
[ROW][C]0.64[/C][C]104.971678549924[/C][C]0.53312405518989[/C][/ROW]
[ROW][C]0.65[/C][C]105.072445560095[/C][C]0.5624062896399[/C][/ROW]
[ROW][C]0.66[/C][C]105.180256070698[/C][C]0.604158183852092[/C][/ROW]
[ROW][C]0.67[/C][C]105.297046262727[/C][C]0.656874331397507[/C][/ROW]
[ROW][C]0.68[/C][C]105.4244594696[/C][C]0.717912162632237[/C][/ROW]
[ROW][C]0.69[/C][C]105.563686436602[/C][C]0.783940037754637[/C][/ROW]
[ROW][C]0.7[/C][C]105.715323977525[/C][C]0.850713018789061[/C][/ROW]
[ROW][C]0.71[/C][C]105.879278504541[/C][C]0.91356961456833[/C][/ROW]
[ROW][C]0.72[/C][C]106.054739141836[/C][C]0.968223182774053[/C][/ROW]
[ROW][C]0.73[/C][C]106.240238015506[/C][C]1.01074344073926[/C][/ROW]
[ROW][C]0.74[/C][C]106.433803524469[/C][C]1.03850892014616[/C][/ROW]
[ROW][C]0.75[/C][C]106.63319808082[/C][C]1.05046240424894[/C][/ROW]
[ROW][C]0.76[/C][C]106.836218132776[/C][C]1.0475004355361[/C][/ROW]
[ROW][C]0.77[/C][C]107.04102447357[/C][C]1.03222791097968[/C][/ROW]
[ROW][C]0.78[/C][C]107.246466901877[/C][C]1.00889162667643[/C][/ROW]
[ROW][C]0.79[/C][C]107.452368960557[/C][C]0.983190874177626[/C][/ROW]
[ROW][C]0.8[/C][C]107.659742998312[/C][C]0.961431368200029[/C][/ROW]
[ROW][C]0.81[/C][C]107.870909203483[/C][C]0.950190181241561[/C][/ROW]
[ROW][C]0.82[/C][C]108.089492117034[/C][C]0.955787276031512[/C][/ROW]
[ROW][C]0.83[/C][C]108.320267051013[/C][C]0.983235299401231[/C][/ROW]
[ROW][C]0.84[/C][C]108.568836847546[/C][C]1.03540992353712[/C][/ROW]
[ROW][C]0.85[/C][C]108.841152490101[/C][C]1.1118183579513[/C][/ROW]
[ROW][C]0.86[/C][C]109.14296329795[/C][C]1.20778611630011[/C][/ROW]
[ROW][C]0.87[/C][C]109.479391280508[/C][C]1.31464412456696[/C][/ROW]
[ROW][C]0.88[/C][C]109.854932970824[/C][C]1.42185757779088[/C][/ROW]
[ROW][C]0.89[/C][C]110.27421876166[/C][C]1.52090908197104[/C][/ROW]
[ROW][C]0.9[/C][C]110.743687039243[/C][C]1.61074476160704[/C][/ROW]
[ROW][C]0.91[/C][C]111.273850545964[/C][C]1.70285450402811[/C][/ROW]
[ROW][C]0.92[/C][C]111.881037200767[/C][C]1.82185914157935[/C][/ROW]
[ROW][C]0.93[/C][C]112.58659627535[/C][C]1.99399271836507[/C][/ROW]
[ROW][C]0.94[/C][C]113.411136033822[/C][C]2.22262130248933[/C][/ROW]
[ROW][C]0.95[/C][C]114.362265946029[/C][C]2.4594858320905[/C][/ROW]
[ROW][C]0.96[/C][C]115.417287567072[/C][C]2.59341474208018[/C][/ROW]
[ROW][C]0.97[/C][C]116.507039055735[/C][C]2.47810575914137[/C][/ROW]
[ROW][C]0.98[/C][C]117.511826695686[/C][C]2.02526184126656[/C][/ROW]
[ROW][C]0.99[/C][C]118.282769235466[/C][C]1.35950425245551[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=233670&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=233670&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
0.0188.63792734049060.913167131100864
0.0288.98290091738810.735400548788867
0.0389.3473319587210.669145448036168
0.0489.69648747622010.733143769262942
0.0590.03487029174080.861726717300784
0.0690.37730717547111.00165968012653
0.0790.73337310778021.13046154232793
0.0891.10505222262511.24113989157574
0.0991.48967968715951.33336730447915
0.191.88300869648061.40883420146283
0.1192.28092853977851.47064186894013
0.1292.68007380317641.52067008307185
0.1393.07786921617611.5603898917355
0.1493.47238414680261.59051996191024
0.1593.86217536629741.61209262270428
0.1694.24617551960951.62638212314356
0.1794.62362369880271.63504533850797
0.1894.99401172923651.63936707862207
0.1995.35702152615611.64031823082485
0.295.7124437076041.63824800096929
0.2196.06008474536811.63297185771774
0.2296.39968159988121.62367079459619
0.2396.7308459498541.60912487789022
0.2497.05305547388771.58849468847907
0.2597.36569970939191.56104684986383
0.2697.66817579380871.5268869566707
0.2797.96001774514161.48719068481265
0.2898.24103439717041.44427461490227
0.2998.51142759838831.40100080977241
0.398.77186471007331.36122848210642
0.3199.02348733968361.32850739349845
0.3299.26784985113621.30566448294385
0.3399.50679389574371.29460879817766
0.3499.74227629207991.29569263060352
0.3599.97617493467291.30767435401202
0.36100.2100999589971.32800268468856
0.37100.4452351936311.35298409893967
0.38100.6822289614161.37887481468686
0.39100.9211450476081.40155696268782
0.4101.1614757548161.41755766061769
0.41101.4022108401691.42418501454176
0.42101.6419498291631.41938930534827
0.43101.8790413255721.40249085640446
0.44102.1117316585721.37352026785082
0.45102.3383063301231.3333031767834
0.46102.5572107709021.28349684970808
0.47102.7671412265811.22612962137764
0.48102.9671014495521.16327189210029
0.49103.1564255662711.09730919567056
0.5103.334771448751.03001851119131
0.51103.5020917448920.963333396672812
0.52103.6585912329180.898621782746965
0.53103.8046793809290.836833392031765
0.54103.9409260981890.778818084340622
0.55104.0680269464880.724982345001665
0.56104.1867818568070.675828476695707
0.57104.2980889572590.631714608756432
0.58104.4029526809830.593154705962941
0.59104.5025030247150.560784250530549
0.6104.5980207521930.535783160718188
0.61104.6909615622490.519104881577794
0.62104.7829709152420.512201987492311
0.63104.87588059440.516539783573799
0.64104.9716785499240.53312405518989
0.65105.0724455600950.5624062896399
0.66105.1802560706980.604158183852092
0.67105.2970462627270.656874331397507
0.68105.42445946960.717912162632237
0.69105.5636864366020.783940037754637
0.7105.7153239775250.850713018789061
0.71105.8792785045410.91356961456833
0.72106.0547391418360.968223182774053
0.73106.2402380155061.01074344073926
0.74106.4338035244691.03850892014616
0.75106.633198080821.05046240424894
0.76106.8362181327761.0475004355361
0.77107.041024473571.03222791097968
0.78107.2464669018771.00889162667643
0.79107.4523689605570.983190874177626
0.8107.6597429983120.961431368200029
0.81107.8709092034830.950190181241561
0.82108.0894921170340.955787276031512
0.83108.3202670510130.983235299401231
0.84108.5688368475461.03540992353712
0.85108.8411524901011.1118183579513
0.86109.142963297951.20778611630011
0.87109.4793912805081.31464412456696
0.88109.8549329708241.42185757779088
0.89110.274218761661.52090908197104
0.9110.7436870392431.61074476160704
0.91111.2738505459641.70285450402811
0.92111.8810372007671.82185914157935
0.93112.586596275351.99399271836507
0.94113.4111360338222.22262130248933
0.95114.3622659460292.4594858320905
0.96115.4172875670722.59341474208018
0.97116.5070390557352.47810575914137
0.98117.5118266956862.02526184126656
0.99118.2827692354661.35950425245551


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')