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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, 09 Oct 2012 08:45:22 -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/2012/Oct/09/t1349786733a7iwo9rlw4mgwoc.htm/, Retrieved Wed, 01 May 2024 22:37:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174558, Retrieved Wed, 01 May 2024 22:37:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

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] [] [2012-10-09 12:45:22] [b7ec516ed4ac617af0f7d8ff855a58b9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
15,58
15,66
15,73
15,74
15,77
15,78
15,8
15,81
15,82
15,88
15,85
15,89
15,92
16,02
16,1
16,13
16,21
16,25
16,27
16,21
16,21
16,24
16,32
16,32
16,36
16,48
16,54
16,58
16,56
16,55
16,58
16,53
16,6
16,46
16,48
16,48
16,49
16,54
16,67
16,72
16,79
16,86
16,84
16,86
16,96
17,01
17,02
17,04
17,04
17,39
17,54
17,57
17,58
17,56
17,63
17,67
17,71
17,75
17,82
17,86
17,89
17,96
18
18,08
18
18,02
18,01
18,02
17,95
17,96
18
18,01

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' @ jenkins.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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174558&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' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174558&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174558&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' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0115.6059749293940.0732296420848147
0.0215.64415014839010.0651991070468356
0.0315.68142088896290.0559794041837256
0.0415.71201190964860.0470246533005917
0.0515.73576264952090.0404668718172657
0.0615.75453254845330.0371395945759359
0.0715.77028249341480.0365968377179326
0.0815.78453412483910.0383263293428335
0.0915.79839363098050.042210407755966
0.115.81269665402390.0482690919095481
0.1115.82811633550140.056480624222878
0.1215.84520577688410.0666398863876305
0.1315.86439133990610.0783069421562423
0.1415.88594137963860.0908058176002289
0.1515.90993124652930.103250880527594
0.1615.93622059797540.114619825651918
0.1715.96445481829960.123923673680399
0.1815.99409691651360.130394387153087
0.1916.02448890871610.133552660737945
0.216.05493381419530.133396108972098
0.2116.08478353566550.130350880479146
0.2216.11351607984760.125159499554305
0.2316.14078827469920.118803011609692
0.2416.16645619743950.112277911504808
0.2516.1905628421650.106510118360605
0.2616.21329900723380.102143473238434
0.2716.23494753701450.0994823065297358
0.2816.25582242899260.0984664830058532
0.2916.27621325233490.0987784338822714
0.316.29634262244290.099839577424019
0.3116.31634104683730.101088655211215
0.3216.33624006531250.101924134266466
0.3316.35598176947870.101943578150212
0.3416.37544078292710.100881265081333
0.3516.39445371042140.0986309954560147
0.3616.41285089136180.0952789549591006
0.3716.43048589046120.0910741935507391
0.3816.44725931616510.0863284221860453
0.3916.46313500142060.0815150803108196
0.416.47814801493350.0770184787133138
0.4116.49240513115760.073273511171414
0.4216.50607910512830.0706984854776887
0.4316.51939833849820.0695557809892653
0.4416.53263338435980.0700968583182817
0.4516.54608141224670.0724379975669975
0.4616.56004945610830.0765990058197991
0.4716.57483716134520.0824137480250361
0.4816.59071989225390.0897161416151932
0.4916.60793339775850.098098439399755
0.516.62666160361150.107256436680676
0.5116.64702930280120.116781222210717
0.5216.66910137444820.126302700210241
0.5316.69288957518820.135487811427098
0.5416.71836692712250.144185727694133
0.5516.74548839818570.152340418432133
0.5616.77421515167440.16002382281455
0.5716.80453840416250.167583478428184
0.5816.83649816103340.175353965155436
0.5916.87019205464320.183739984501482
0.616.90577037992120.193145140709739
0.6116.94341527474250.20377874784721
0.6216.98330471995670.215534830709596
0.6317.02556530077150.227999153199595
0.6417.07022089657280.240467679606667
0.6517.11714687945540.251868363899971
0.6617.16604019327980.261113424294166
0.6717.21641424383450.267074413318192
0.6817.26762370647410.268895565797701
0.6917.31891864930780.266080686057636
0.717.36952093468920.258715401952184
0.7117.41871028659880.247284581255871
0.7217.46590427944990.232835873198557
0.7317.51071688134360.216673037004173
0.7417.55298421918430.200166149213554
0.7517.59275303018520.184564584853316
0.7617.63023512026890.170780444304759
0.7717.66573806968420.159209186913963
0.7817.69958673971590.149758677032037
0.7917.7320509772410.141904332987372
0.817.76329240072180.134888809364488
0.8117.79333820870810.127945880780114
0.8217.82208392834550.120416172621596
0.8317.84932127311070.111884981993208
0.8417.87478290209140.10220735302801
0.8517.89819361551760.0915372089599511
0.8617.91931776265820.0801800494935306
0.8717.93799528407950.0685860331798576
0.8817.95416308716230.0572451016590519
0.8917.96786284781310.0465869466210751
0.917.97923906368720.0369465695814713
0.9117.98853147497130.0285860841325096
0.9217.99606594844890.0216831492198346
0.9318.00225432236040.0163552044033758
0.9418.00763571025830.0126511706898748
0.9518.01302296161140.0106849835446492
0.9618.01978348236280.011217495003155
0.9718.02998597772870.0164600168823619
0.9818.04547193143040.0283690830893925
0.9918.06477863110670.0452423847557103

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 15.605974929394 & 0.0732296420848147 \tabularnewline
0.02 & 15.6441501483901 & 0.0651991070468356 \tabularnewline
0.03 & 15.6814208889629 & 0.0559794041837256 \tabularnewline
0.04 & 15.7120119096486 & 0.0470246533005917 \tabularnewline
0.05 & 15.7357626495209 & 0.0404668718172657 \tabularnewline
0.06 & 15.7545325484533 & 0.0371395945759359 \tabularnewline
0.07 & 15.7702824934148 & 0.0365968377179326 \tabularnewline
0.08 & 15.7845341248391 & 0.0383263293428335 \tabularnewline
0.09 & 15.7983936309805 & 0.042210407755966 \tabularnewline
0.1 & 15.8126966540239 & 0.0482690919095481 \tabularnewline
0.11 & 15.8281163355014 & 0.056480624222878 \tabularnewline
0.12 & 15.8452057768841 & 0.0666398863876305 \tabularnewline
0.13 & 15.8643913399061 & 0.0783069421562423 \tabularnewline
0.14 & 15.8859413796386 & 0.0908058176002289 \tabularnewline
0.15 & 15.9099312465293 & 0.103250880527594 \tabularnewline
0.16 & 15.9362205979754 & 0.114619825651918 \tabularnewline
0.17 & 15.9644548182996 & 0.123923673680399 \tabularnewline
0.18 & 15.9940969165136 & 0.130394387153087 \tabularnewline
0.19 & 16.0244889087161 & 0.133552660737945 \tabularnewline
0.2 & 16.0549338141953 & 0.133396108972098 \tabularnewline
0.21 & 16.0847835356655 & 0.130350880479146 \tabularnewline
0.22 & 16.1135160798476 & 0.125159499554305 \tabularnewline
0.23 & 16.1407882746992 & 0.118803011609692 \tabularnewline
0.24 & 16.1664561974395 & 0.112277911504808 \tabularnewline
0.25 & 16.190562842165 & 0.106510118360605 \tabularnewline
0.26 & 16.2132990072338 & 0.102143473238434 \tabularnewline
0.27 & 16.2349475370145 & 0.0994823065297358 \tabularnewline
0.28 & 16.2558224289926 & 0.0984664830058532 \tabularnewline
0.29 & 16.2762132523349 & 0.0987784338822714 \tabularnewline
0.3 & 16.2963426224429 & 0.099839577424019 \tabularnewline
0.31 & 16.3163410468373 & 0.101088655211215 \tabularnewline
0.32 & 16.3362400653125 & 0.101924134266466 \tabularnewline
0.33 & 16.3559817694787 & 0.101943578150212 \tabularnewline
0.34 & 16.3754407829271 & 0.100881265081333 \tabularnewline
0.35 & 16.3944537104214 & 0.0986309954560147 \tabularnewline
0.36 & 16.4128508913618 & 0.0952789549591006 \tabularnewline
0.37 & 16.4304858904612 & 0.0910741935507391 \tabularnewline
0.38 & 16.4472593161651 & 0.0863284221860453 \tabularnewline
0.39 & 16.4631350014206 & 0.0815150803108196 \tabularnewline
0.4 & 16.4781480149335 & 0.0770184787133138 \tabularnewline
0.41 & 16.4924051311576 & 0.073273511171414 \tabularnewline
0.42 & 16.5060791051283 & 0.0706984854776887 \tabularnewline
0.43 & 16.5193983384982 & 0.0695557809892653 \tabularnewline
0.44 & 16.5326333843598 & 0.0700968583182817 \tabularnewline
0.45 & 16.5460814122467 & 0.0724379975669975 \tabularnewline
0.46 & 16.5600494561083 & 0.0765990058197991 \tabularnewline
0.47 & 16.5748371613452 & 0.0824137480250361 \tabularnewline
0.48 & 16.5907198922539 & 0.0897161416151932 \tabularnewline
0.49 & 16.6079333977585 & 0.098098439399755 \tabularnewline
0.5 & 16.6266616036115 & 0.107256436680676 \tabularnewline
0.51 & 16.6470293028012 & 0.116781222210717 \tabularnewline
0.52 & 16.6691013744482 & 0.126302700210241 \tabularnewline
0.53 & 16.6928895751882 & 0.135487811427098 \tabularnewline
0.54 & 16.7183669271225 & 0.144185727694133 \tabularnewline
0.55 & 16.7454883981857 & 0.152340418432133 \tabularnewline
0.56 & 16.7742151516744 & 0.16002382281455 \tabularnewline
0.57 & 16.8045384041625 & 0.167583478428184 \tabularnewline
0.58 & 16.8364981610334 & 0.175353965155436 \tabularnewline
0.59 & 16.8701920546432 & 0.183739984501482 \tabularnewline
0.6 & 16.9057703799212 & 0.193145140709739 \tabularnewline
0.61 & 16.9434152747425 & 0.20377874784721 \tabularnewline
0.62 & 16.9833047199567 & 0.215534830709596 \tabularnewline
0.63 & 17.0255653007715 & 0.227999153199595 \tabularnewline
0.64 & 17.0702208965728 & 0.240467679606667 \tabularnewline
0.65 & 17.1171468794554 & 0.251868363899971 \tabularnewline
0.66 & 17.1660401932798 & 0.261113424294166 \tabularnewline
0.67 & 17.2164142438345 & 0.267074413318192 \tabularnewline
0.68 & 17.2676237064741 & 0.268895565797701 \tabularnewline
0.69 & 17.3189186493078 & 0.266080686057636 \tabularnewline
0.7 & 17.3695209346892 & 0.258715401952184 \tabularnewline
0.71 & 17.4187102865988 & 0.247284581255871 \tabularnewline
0.72 & 17.4659042794499 & 0.232835873198557 \tabularnewline
0.73 & 17.5107168813436 & 0.216673037004173 \tabularnewline
0.74 & 17.5529842191843 & 0.200166149213554 \tabularnewline
0.75 & 17.5927530301852 & 0.184564584853316 \tabularnewline
0.76 & 17.6302351202689 & 0.170780444304759 \tabularnewline
0.77 & 17.6657380696842 & 0.159209186913963 \tabularnewline
0.78 & 17.6995867397159 & 0.149758677032037 \tabularnewline
0.79 & 17.732050977241 & 0.141904332987372 \tabularnewline
0.8 & 17.7632924007218 & 0.134888809364488 \tabularnewline
0.81 & 17.7933382087081 & 0.127945880780114 \tabularnewline
0.82 & 17.8220839283455 & 0.120416172621596 \tabularnewline
0.83 & 17.8493212731107 & 0.111884981993208 \tabularnewline
0.84 & 17.8747829020914 & 0.10220735302801 \tabularnewline
0.85 & 17.8981936155176 & 0.0915372089599511 \tabularnewline
0.86 & 17.9193177626582 & 0.0801800494935306 \tabularnewline
0.87 & 17.9379952840795 & 0.0685860331798576 \tabularnewline
0.88 & 17.9541630871623 & 0.0572451016590519 \tabularnewline
0.89 & 17.9678628478131 & 0.0465869466210751 \tabularnewline
0.9 & 17.9792390636872 & 0.0369465695814713 \tabularnewline
0.91 & 17.9885314749713 & 0.0285860841325096 \tabularnewline
0.92 & 17.9960659484489 & 0.0216831492198346 \tabularnewline
0.93 & 18.0022543223604 & 0.0163552044033758 \tabularnewline
0.94 & 18.0076357102583 & 0.0126511706898748 \tabularnewline
0.95 & 18.0130229616114 & 0.0106849835446492 \tabularnewline
0.96 & 18.0197834823628 & 0.011217495003155 \tabularnewline
0.97 & 18.0299859777287 & 0.0164600168823619 \tabularnewline
0.98 & 18.0454719314304 & 0.0283690830893925 \tabularnewline
0.99 & 18.0647786311067 & 0.0452423847557103 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174558&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]15.605974929394[/C][C]0.0732296420848147[/C][/ROW]
[ROW][C]0.02[/C][C]15.6441501483901[/C][C]0.0651991070468356[/C][/ROW]
[ROW][C]0.03[/C][C]15.6814208889629[/C][C]0.0559794041837256[/C][/ROW]
[ROW][C]0.04[/C][C]15.7120119096486[/C][C]0.0470246533005917[/C][/ROW]
[ROW][C]0.05[/C][C]15.7357626495209[/C][C]0.0404668718172657[/C][/ROW]
[ROW][C]0.06[/C][C]15.7545325484533[/C][C]0.0371395945759359[/C][/ROW]
[ROW][C]0.07[/C][C]15.7702824934148[/C][C]0.0365968377179326[/C][/ROW]
[ROW][C]0.08[/C][C]15.7845341248391[/C][C]0.0383263293428335[/C][/ROW]
[ROW][C]0.09[/C][C]15.7983936309805[/C][C]0.042210407755966[/C][/ROW]
[ROW][C]0.1[/C][C]15.8126966540239[/C][C]0.0482690919095481[/C][/ROW]
[ROW][C]0.11[/C][C]15.8281163355014[/C][C]0.056480624222878[/C][/ROW]
[ROW][C]0.12[/C][C]15.8452057768841[/C][C]0.0666398863876305[/C][/ROW]
[ROW][C]0.13[/C][C]15.8643913399061[/C][C]0.0783069421562423[/C][/ROW]
[ROW][C]0.14[/C][C]15.8859413796386[/C][C]0.0908058176002289[/C][/ROW]
[ROW][C]0.15[/C][C]15.9099312465293[/C][C]0.103250880527594[/C][/ROW]
[ROW][C]0.16[/C][C]15.9362205979754[/C][C]0.114619825651918[/C][/ROW]
[ROW][C]0.17[/C][C]15.9644548182996[/C][C]0.123923673680399[/C][/ROW]
[ROW][C]0.18[/C][C]15.9940969165136[/C][C]0.130394387153087[/C][/ROW]
[ROW][C]0.19[/C][C]16.0244889087161[/C][C]0.133552660737945[/C][/ROW]
[ROW][C]0.2[/C][C]16.0549338141953[/C][C]0.133396108972098[/C][/ROW]
[ROW][C]0.21[/C][C]16.0847835356655[/C][C]0.130350880479146[/C][/ROW]
[ROW][C]0.22[/C][C]16.1135160798476[/C][C]0.125159499554305[/C][/ROW]
[ROW][C]0.23[/C][C]16.1407882746992[/C][C]0.118803011609692[/C][/ROW]
[ROW][C]0.24[/C][C]16.1664561974395[/C][C]0.112277911504808[/C][/ROW]
[ROW][C]0.25[/C][C]16.190562842165[/C][C]0.106510118360605[/C][/ROW]
[ROW][C]0.26[/C][C]16.2132990072338[/C][C]0.102143473238434[/C][/ROW]
[ROW][C]0.27[/C][C]16.2349475370145[/C][C]0.0994823065297358[/C][/ROW]
[ROW][C]0.28[/C][C]16.2558224289926[/C][C]0.0984664830058532[/C][/ROW]
[ROW][C]0.29[/C][C]16.2762132523349[/C][C]0.0987784338822714[/C][/ROW]
[ROW][C]0.3[/C][C]16.2963426224429[/C][C]0.099839577424019[/C][/ROW]
[ROW][C]0.31[/C][C]16.3163410468373[/C][C]0.101088655211215[/C][/ROW]
[ROW][C]0.32[/C][C]16.3362400653125[/C][C]0.101924134266466[/C][/ROW]
[ROW][C]0.33[/C][C]16.3559817694787[/C][C]0.101943578150212[/C][/ROW]
[ROW][C]0.34[/C][C]16.3754407829271[/C][C]0.100881265081333[/C][/ROW]
[ROW][C]0.35[/C][C]16.3944537104214[/C][C]0.0986309954560147[/C][/ROW]
[ROW][C]0.36[/C][C]16.4128508913618[/C][C]0.0952789549591006[/C][/ROW]
[ROW][C]0.37[/C][C]16.4304858904612[/C][C]0.0910741935507391[/C][/ROW]
[ROW][C]0.38[/C][C]16.4472593161651[/C][C]0.0863284221860453[/C][/ROW]
[ROW][C]0.39[/C][C]16.4631350014206[/C][C]0.0815150803108196[/C][/ROW]
[ROW][C]0.4[/C][C]16.4781480149335[/C][C]0.0770184787133138[/C][/ROW]
[ROW][C]0.41[/C][C]16.4924051311576[/C][C]0.073273511171414[/C][/ROW]
[ROW][C]0.42[/C][C]16.5060791051283[/C][C]0.0706984854776887[/C][/ROW]
[ROW][C]0.43[/C][C]16.5193983384982[/C][C]0.0695557809892653[/C][/ROW]
[ROW][C]0.44[/C][C]16.5326333843598[/C][C]0.0700968583182817[/C][/ROW]
[ROW][C]0.45[/C][C]16.5460814122467[/C][C]0.0724379975669975[/C][/ROW]
[ROW][C]0.46[/C][C]16.5600494561083[/C][C]0.0765990058197991[/C][/ROW]
[ROW][C]0.47[/C][C]16.5748371613452[/C][C]0.0824137480250361[/C][/ROW]
[ROW][C]0.48[/C][C]16.5907198922539[/C][C]0.0897161416151932[/C][/ROW]
[ROW][C]0.49[/C][C]16.6079333977585[/C][C]0.098098439399755[/C][/ROW]
[ROW][C]0.5[/C][C]16.6266616036115[/C][C]0.107256436680676[/C][/ROW]
[ROW][C]0.51[/C][C]16.6470293028012[/C][C]0.116781222210717[/C][/ROW]
[ROW][C]0.52[/C][C]16.6691013744482[/C][C]0.126302700210241[/C][/ROW]
[ROW][C]0.53[/C][C]16.6928895751882[/C][C]0.135487811427098[/C][/ROW]
[ROW][C]0.54[/C][C]16.7183669271225[/C][C]0.144185727694133[/C][/ROW]
[ROW][C]0.55[/C][C]16.7454883981857[/C][C]0.152340418432133[/C][/ROW]
[ROW][C]0.56[/C][C]16.7742151516744[/C][C]0.16002382281455[/C][/ROW]
[ROW][C]0.57[/C][C]16.8045384041625[/C][C]0.167583478428184[/C][/ROW]
[ROW][C]0.58[/C][C]16.8364981610334[/C][C]0.175353965155436[/C][/ROW]
[ROW][C]0.59[/C][C]16.8701920546432[/C][C]0.183739984501482[/C][/ROW]
[ROW][C]0.6[/C][C]16.9057703799212[/C][C]0.193145140709739[/C][/ROW]
[ROW][C]0.61[/C][C]16.9434152747425[/C][C]0.20377874784721[/C][/ROW]
[ROW][C]0.62[/C][C]16.9833047199567[/C][C]0.215534830709596[/C][/ROW]
[ROW][C]0.63[/C][C]17.0255653007715[/C][C]0.227999153199595[/C][/ROW]
[ROW][C]0.64[/C][C]17.0702208965728[/C][C]0.240467679606667[/C][/ROW]
[ROW][C]0.65[/C][C]17.1171468794554[/C][C]0.251868363899971[/C][/ROW]
[ROW][C]0.66[/C][C]17.1660401932798[/C][C]0.261113424294166[/C][/ROW]
[ROW][C]0.67[/C][C]17.2164142438345[/C][C]0.267074413318192[/C][/ROW]
[ROW][C]0.68[/C][C]17.2676237064741[/C][C]0.268895565797701[/C][/ROW]
[ROW][C]0.69[/C][C]17.3189186493078[/C][C]0.266080686057636[/C][/ROW]
[ROW][C]0.7[/C][C]17.3695209346892[/C][C]0.258715401952184[/C][/ROW]
[ROW][C]0.71[/C][C]17.4187102865988[/C][C]0.247284581255871[/C][/ROW]
[ROW][C]0.72[/C][C]17.4659042794499[/C][C]0.232835873198557[/C][/ROW]
[ROW][C]0.73[/C][C]17.5107168813436[/C][C]0.216673037004173[/C][/ROW]
[ROW][C]0.74[/C][C]17.5529842191843[/C][C]0.200166149213554[/C][/ROW]
[ROW][C]0.75[/C][C]17.5927530301852[/C][C]0.184564584853316[/C][/ROW]
[ROW][C]0.76[/C][C]17.6302351202689[/C][C]0.170780444304759[/C][/ROW]
[ROW][C]0.77[/C][C]17.6657380696842[/C][C]0.159209186913963[/C][/ROW]
[ROW][C]0.78[/C][C]17.6995867397159[/C][C]0.149758677032037[/C][/ROW]
[ROW][C]0.79[/C][C]17.732050977241[/C][C]0.141904332987372[/C][/ROW]
[ROW][C]0.8[/C][C]17.7632924007218[/C][C]0.134888809364488[/C][/ROW]
[ROW][C]0.81[/C][C]17.7933382087081[/C][C]0.127945880780114[/C][/ROW]
[ROW][C]0.82[/C][C]17.8220839283455[/C][C]0.120416172621596[/C][/ROW]
[ROW][C]0.83[/C][C]17.8493212731107[/C][C]0.111884981993208[/C][/ROW]
[ROW][C]0.84[/C][C]17.8747829020914[/C][C]0.10220735302801[/C][/ROW]
[ROW][C]0.85[/C][C]17.8981936155176[/C][C]0.0915372089599511[/C][/ROW]
[ROW][C]0.86[/C][C]17.9193177626582[/C][C]0.0801800494935306[/C][/ROW]
[ROW][C]0.87[/C][C]17.9379952840795[/C][C]0.0685860331798576[/C][/ROW]
[ROW][C]0.88[/C][C]17.9541630871623[/C][C]0.0572451016590519[/C][/ROW]
[ROW][C]0.89[/C][C]17.9678628478131[/C][C]0.0465869466210751[/C][/ROW]
[ROW][C]0.9[/C][C]17.9792390636872[/C][C]0.0369465695814713[/C][/ROW]
[ROW][C]0.91[/C][C]17.9885314749713[/C][C]0.0285860841325096[/C][/ROW]
[ROW][C]0.92[/C][C]17.9960659484489[/C][C]0.0216831492198346[/C][/ROW]
[ROW][C]0.93[/C][C]18.0022543223604[/C][C]0.0163552044033758[/C][/ROW]
[ROW][C]0.94[/C][C]18.0076357102583[/C][C]0.0126511706898748[/C][/ROW]
[ROW][C]0.95[/C][C]18.0130229616114[/C][C]0.0106849835446492[/C][/ROW]
[ROW][C]0.96[/C][C]18.0197834823628[/C][C]0.011217495003155[/C][/ROW]
[ROW][C]0.97[/C][C]18.0299859777287[/C][C]0.0164600168823619[/C][/ROW]
[ROW][C]0.98[/C][C]18.0454719314304[/C][C]0.0283690830893925[/C][/ROW]
[ROW][C]0.99[/C][C]18.0647786311067[/C][C]0.0452423847557103[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174558&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174558&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
0.0115.6059749293940.0732296420848147
0.0215.64415014839010.0651991070468356
0.0315.68142088896290.0559794041837256
0.0415.71201190964860.0470246533005917
0.0515.73576264952090.0404668718172657
0.0615.75453254845330.0371395945759359
0.0715.77028249341480.0365968377179326
0.0815.78453412483910.0383263293428335
0.0915.79839363098050.042210407755966
0.115.81269665402390.0482690919095481
0.1115.82811633550140.056480624222878
0.1215.84520577688410.0666398863876305
0.1315.86439133990610.0783069421562423
0.1415.88594137963860.0908058176002289
0.1515.90993124652930.103250880527594
0.1615.93622059797540.114619825651918
0.1715.96445481829960.123923673680399
0.1815.99409691651360.130394387153087
0.1916.02448890871610.133552660737945
0.216.05493381419530.133396108972098
0.2116.08478353566550.130350880479146
0.2216.11351607984760.125159499554305
0.2316.14078827469920.118803011609692
0.2416.16645619743950.112277911504808
0.2516.1905628421650.106510118360605
0.2616.21329900723380.102143473238434
0.2716.23494753701450.0994823065297358
0.2816.25582242899260.0984664830058532
0.2916.27621325233490.0987784338822714
0.316.29634262244290.099839577424019
0.3116.31634104683730.101088655211215
0.3216.33624006531250.101924134266466
0.3316.35598176947870.101943578150212
0.3416.37544078292710.100881265081333
0.3516.39445371042140.0986309954560147
0.3616.41285089136180.0952789549591006
0.3716.43048589046120.0910741935507391
0.3816.44725931616510.0863284221860453
0.3916.46313500142060.0815150803108196
0.416.47814801493350.0770184787133138
0.4116.49240513115760.073273511171414
0.4216.50607910512830.0706984854776887
0.4316.51939833849820.0695557809892653
0.4416.53263338435980.0700968583182817
0.4516.54608141224670.0724379975669975
0.4616.56004945610830.0765990058197991
0.4716.57483716134520.0824137480250361
0.4816.59071989225390.0897161416151932
0.4916.60793339775850.098098439399755
0.516.62666160361150.107256436680676
0.5116.64702930280120.116781222210717
0.5216.66910137444820.126302700210241
0.5316.69288957518820.135487811427098
0.5416.71836692712250.144185727694133
0.5516.74548839818570.152340418432133
0.5616.77421515167440.16002382281455
0.5716.80453840416250.167583478428184
0.5816.83649816103340.175353965155436
0.5916.87019205464320.183739984501482
0.616.90577037992120.193145140709739
0.6116.94341527474250.20377874784721
0.6216.98330471995670.215534830709596
0.6317.02556530077150.227999153199595
0.6417.07022089657280.240467679606667
0.6517.11714687945540.251868363899971
0.6617.16604019327980.261113424294166
0.6717.21641424383450.267074413318192
0.6817.26762370647410.268895565797701
0.6917.31891864930780.266080686057636
0.717.36952093468920.258715401952184
0.7117.41871028659880.247284581255871
0.7217.46590427944990.232835873198557
0.7317.51071688134360.216673037004173
0.7417.55298421918430.200166149213554
0.7517.59275303018520.184564584853316
0.7617.63023512026890.170780444304759
0.7717.66573806968420.159209186913963
0.7817.69958673971590.149758677032037
0.7917.7320509772410.141904332987372
0.817.76329240072180.134888809364488
0.8117.79333820870810.127945880780114
0.8217.82208392834550.120416172621596
0.8317.84932127311070.111884981993208
0.8417.87478290209140.10220735302801
0.8517.89819361551760.0915372089599511
0.8617.91931776265820.0801800494935306
0.8717.93799528407950.0685860331798576
0.8817.95416308716230.0572451016590519
0.8917.96786284781310.0465869466210751
0.917.97923906368720.0369465695814713
0.9117.98853147497130.0285860841325096
0.9217.99606594844890.0216831492198346
0.9318.00225432236040.0163552044033758
0.9418.00763571025830.0126511706898748
0.9518.01302296161140.0106849835446492
0.9618.01978348236280.011217495003155
0.9718.02998597772870.0164600168823619
0.9818.04547193143040.0283690830893925
0.9918.06477863110670.0452423847557103


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')