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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, 24 Oct 2008 09:44:11 -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/Oct/24/t1224863114tgqc0ktomcn37xs.htm/, Retrieved Sun, 19 May 2024 14:56:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18642, Retrieved Sun, 19 May 2024 14:56:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145

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] [] [2008-10-24 15:44:11] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
9.026
9.787
9.536
9.490
9.736
9.694
9.647
9.753
10.070
10.137
9.984
9.732
9.103
9.155
9.308
9.394
9.948
10.177
10.002
9.728
10.002
10.063
10.018
9.960
10.236
10.893
10.756
10.940
10.997
10.827
10.166
10.186
10.457
10.368
10.244
10.511
10.812
10.738
10.171
9.721
9.897
9.828
9.924
10.371
10.846
10.413
10.709
10.662
10.570
10.297
10.635
10.872
10.296
10.383
10.431
10.574
10.653
10.805
10.872
10.625
10.407
10.463
10.556
10.646
10.702
11.353
11.346
11.451
11.964
12.574
13.031
13.812
14.544
14.931
14.886
16.005
17.064
15.168
16.050
15.839
15.137
14.954
15.648
15.305
15.579
16.348
15.928
16.171
15.937
15.713
15.594
15.683
16.438
17.032
17.696
17.745
19.394
20.148
20.108
18.584
18.441
18.391
19.178
18.079
18.483

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=18642&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=18642&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18642&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
0.019.074501770217780.0849161066347027
0.029.156172160434060.120856997651094
0.039.250189235142730.150797615837993
0.049.345436795118150.159997830788404
0.059.43405589228790.154849542542638
0.069.51161153871070.142099086873304
0.079.576719461087410.124777665202376
0.089.629775270044070.105616961665999
0.099.672341335402640.0885542766635176
0.19.706909346807920.0774939142284802
0.119.736452347110570.074359259610443
0.129.763752654499420.0778359158834114
0.139.790817517293520.0845420672922036
0.149.818627266881730.0911513624181552
0.159.847248379321330.0955475249389387
0.169.876182063821960.0969873513069849
0.179.904767328057290.0959694778365013
0.189.932493192364290.093693262782957
0.199.95915070328070.0914935750582931
0.29.98483019489830.0903732845089742
0.2110.00981779651010.0907046704920804
0.2210.03446001200650.092296312892042
0.2310.05905243513390.0946216631692465
0.2410.08378143445630.0971242396313587
0.2510.10871955905860.0994285092616478
0.2610.13385620194200.101368226223564
0.2710.15913870508590.102968147651354
0.2810.18450414023310.104314523206474
0.2910.20989331063360.105426784774692
0.310.23524985386520.106286219134731
0.3110.26051390748240.106792524628932
0.3210.28561991647080.106897770006731
0.3310.31050327232310.106592485958147
0.3410.33511395450100.105969411072972
0.3510.35943064469840.105316759584626
0.3610.38346790120050.104766164158012
0.3710.40727186731720.104518696600246
0.3810.43090494397770.104599539021698
0.3910.45442453208240.104905885560816
0.410.47786341723690.105242988243760
0.4110.50121882567010.105376132208193
0.4210.52445409536840.105138003103800
0.4310.54751267419130.104468623633939
0.4410.57034047161420.103429843862410
0.4510.59291081681010.102270687541537
0.4610.61524701469510.101286185630557
0.4710.63744045199840.100827191809646
0.4810.65966636066540.101348070219587
0.4910.68220328422050.103281351491306
0.510.70546462874860.107296942581687
0.5110.73005040552230.114330337762740
0.5210.75682396275490.125771219080907
0.5310.78701235708070.143641668866772
0.5410.82232075191210.170448269383543
0.5510.8650419447870.209182555035448
0.5610.91813319911110.262964860490279
0.5710.9852257007080.334635798421999
0.5811.07052937746820.426307729440115
0.5911.17860025746250.53862936578435
0.611.31395190545930.670172757460851
0.6111.48051870604420.816904798902833
0.6211.68101595865890.97174450645846
0.6311.91628424382601.12482736971830
0.6412.18474207531891.26424667076098
0.6512.48208642079051.37752301470696
0.6612.80136127226271.45338979914225
0.6713.13345410867471.48380439399928
0.6813.46798692725381.46557705512023
0.6913.79446612921041.40105355357603
0.714.10347719420561.29785719929415
0.7114.38768641047551.16750673923987
0.7214.64245699103721.02328423623451
0.7314.86598954894340.877991070862302
0.7415.05902310411060.74208483990594
0.7515.22423922782300.622609580112499
0.7615.36556464554340.523101501000075
0.7715.48755605770040.444388619716117
0.7815.59498967276690.385774053220615
0.7915.69269564442900.346251863723423
0.815.78560072441210.32537950000771
0.8115.87888442049820.323571871154658
0.8215.97811650756070.341692064436001
0.8316.08922781161850.379941449905413
0.8416.21818197376670.436611271419497
0.8516.37028074394990.506943407460582
0.8616.54915646381090.582770921380957
0.8716.75565884005170.652940787617129
0.8816.9869723420040.705039340292023
0.8917.23635245656300.728007380049896
0.917.49384709838250.714952884218793
0.9117.74832337171630.666056651754488
0.9217.99099186892650.590975351260102
0.9318.22007382952730.510766601311154
0.9418.44495486189320.456680467900493
0.9518.68670181683200.455748773595228
0.9618.97160579816030.501995522946065
0.9719.31463421999010.5524683742511
0.9819.68974380642770.52896983094807
0.9920.00400163081480.321316823738125

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 9.07450177021778 & 0.0849161066347027 \tabularnewline
0.02 & 9.15617216043406 & 0.120856997651094 \tabularnewline
0.03 & 9.25018923514273 & 0.150797615837993 \tabularnewline
0.04 & 9.34543679511815 & 0.159997830788404 \tabularnewline
0.05 & 9.4340558922879 & 0.154849542542638 \tabularnewline
0.06 & 9.5116115387107 & 0.142099086873304 \tabularnewline
0.07 & 9.57671946108741 & 0.124777665202376 \tabularnewline
0.08 & 9.62977527004407 & 0.105616961665999 \tabularnewline
0.09 & 9.67234133540264 & 0.0885542766635176 \tabularnewline
0.1 & 9.70690934680792 & 0.0774939142284802 \tabularnewline
0.11 & 9.73645234711057 & 0.074359259610443 \tabularnewline
0.12 & 9.76375265449942 & 0.0778359158834114 \tabularnewline
0.13 & 9.79081751729352 & 0.0845420672922036 \tabularnewline
0.14 & 9.81862726688173 & 0.0911513624181552 \tabularnewline
0.15 & 9.84724837932133 & 0.0955475249389387 \tabularnewline
0.16 & 9.87618206382196 & 0.0969873513069849 \tabularnewline
0.17 & 9.90476732805729 & 0.0959694778365013 \tabularnewline
0.18 & 9.93249319236429 & 0.093693262782957 \tabularnewline
0.19 & 9.9591507032807 & 0.0914935750582931 \tabularnewline
0.2 & 9.9848301948983 & 0.0903732845089742 \tabularnewline
0.21 & 10.0098177965101 & 0.0907046704920804 \tabularnewline
0.22 & 10.0344600120065 & 0.092296312892042 \tabularnewline
0.23 & 10.0590524351339 & 0.0946216631692465 \tabularnewline
0.24 & 10.0837814344563 & 0.0971242396313587 \tabularnewline
0.25 & 10.1087195590586 & 0.0994285092616478 \tabularnewline
0.26 & 10.1338562019420 & 0.101368226223564 \tabularnewline
0.27 & 10.1591387050859 & 0.102968147651354 \tabularnewline
0.28 & 10.1845041402331 & 0.104314523206474 \tabularnewline
0.29 & 10.2098933106336 & 0.105426784774692 \tabularnewline
0.3 & 10.2352498538652 & 0.106286219134731 \tabularnewline
0.31 & 10.2605139074824 & 0.106792524628932 \tabularnewline
0.32 & 10.2856199164708 & 0.106897770006731 \tabularnewline
0.33 & 10.3105032723231 & 0.106592485958147 \tabularnewline
0.34 & 10.3351139545010 & 0.105969411072972 \tabularnewline
0.35 & 10.3594306446984 & 0.105316759584626 \tabularnewline
0.36 & 10.3834679012005 & 0.104766164158012 \tabularnewline
0.37 & 10.4072718673172 & 0.104518696600246 \tabularnewline
0.38 & 10.4309049439777 & 0.104599539021698 \tabularnewline
0.39 & 10.4544245320824 & 0.104905885560816 \tabularnewline
0.4 & 10.4778634172369 & 0.105242988243760 \tabularnewline
0.41 & 10.5012188256701 & 0.105376132208193 \tabularnewline
0.42 & 10.5244540953684 & 0.105138003103800 \tabularnewline
0.43 & 10.5475126741913 & 0.104468623633939 \tabularnewline
0.44 & 10.5703404716142 & 0.103429843862410 \tabularnewline
0.45 & 10.5929108168101 & 0.102270687541537 \tabularnewline
0.46 & 10.6152470146951 & 0.101286185630557 \tabularnewline
0.47 & 10.6374404519984 & 0.100827191809646 \tabularnewline
0.48 & 10.6596663606654 & 0.101348070219587 \tabularnewline
0.49 & 10.6822032842205 & 0.103281351491306 \tabularnewline
0.5 & 10.7054646287486 & 0.107296942581687 \tabularnewline
0.51 & 10.7300504055223 & 0.114330337762740 \tabularnewline
0.52 & 10.7568239627549 & 0.125771219080907 \tabularnewline
0.53 & 10.7870123570807 & 0.143641668866772 \tabularnewline
0.54 & 10.8223207519121 & 0.170448269383543 \tabularnewline
0.55 & 10.865041944787 & 0.209182555035448 \tabularnewline
0.56 & 10.9181331991111 & 0.262964860490279 \tabularnewline
0.57 & 10.985225700708 & 0.334635798421999 \tabularnewline
0.58 & 11.0705293774682 & 0.426307729440115 \tabularnewline
0.59 & 11.1786002574625 & 0.53862936578435 \tabularnewline
0.6 & 11.3139519054593 & 0.670172757460851 \tabularnewline
0.61 & 11.4805187060442 & 0.816904798902833 \tabularnewline
0.62 & 11.6810159586589 & 0.97174450645846 \tabularnewline
0.63 & 11.9162842438260 & 1.12482736971830 \tabularnewline
0.64 & 12.1847420753189 & 1.26424667076098 \tabularnewline
0.65 & 12.4820864207905 & 1.37752301470696 \tabularnewline
0.66 & 12.8013612722627 & 1.45338979914225 \tabularnewline
0.67 & 13.1334541086747 & 1.48380439399928 \tabularnewline
0.68 & 13.4679869272538 & 1.46557705512023 \tabularnewline
0.69 & 13.7944661292104 & 1.40105355357603 \tabularnewline
0.7 & 14.1034771942056 & 1.29785719929415 \tabularnewline
0.71 & 14.3876864104755 & 1.16750673923987 \tabularnewline
0.72 & 14.6424569910372 & 1.02328423623451 \tabularnewline
0.73 & 14.8659895489434 & 0.877991070862302 \tabularnewline
0.74 & 15.0590231041106 & 0.74208483990594 \tabularnewline
0.75 & 15.2242392278230 & 0.622609580112499 \tabularnewline
0.76 & 15.3655646455434 & 0.523101501000075 \tabularnewline
0.77 & 15.4875560577004 & 0.444388619716117 \tabularnewline
0.78 & 15.5949896727669 & 0.385774053220615 \tabularnewline
0.79 & 15.6926956444290 & 0.346251863723423 \tabularnewline
0.8 & 15.7856007244121 & 0.32537950000771 \tabularnewline
0.81 & 15.8788844204982 & 0.323571871154658 \tabularnewline
0.82 & 15.9781165075607 & 0.341692064436001 \tabularnewline
0.83 & 16.0892278116185 & 0.379941449905413 \tabularnewline
0.84 & 16.2181819737667 & 0.436611271419497 \tabularnewline
0.85 & 16.3702807439499 & 0.506943407460582 \tabularnewline
0.86 & 16.5491564638109 & 0.582770921380957 \tabularnewline
0.87 & 16.7556588400517 & 0.652940787617129 \tabularnewline
0.88 & 16.986972342004 & 0.705039340292023 \tabularnewline
0.89 & 17.2363524565630 & 0.728007380049896 \tabularnewline
0.9 & 17.4938470983825 & 0.714952884218793 \tabularnewline
0.91 & 17.7483233717163 & 0.666056651754488 \tabularnewline
0.92 & 17.9909918689265 & 0.590975351260102 \tabularnewline
0.93 & 18.2200738295273 & 0.510766601311154 \tabularnewline
0.94 & 18.4449548618932 & 0.456680467900493 \tabularnewline
0.95 & 18.6867018168320 & 0.455748773595228 \tabularnewline
0.96 & 18.9716057981603 & 0.501995522946065 \tabularnewline
0.97 & 19.3146342199901 & 0.5524683742511 \tabularnewline
0.98 & 19.6897438064277 & 0.52896983094807 \tabularnewline
0.99 & 20.0040016308148 & 0.321316823738125 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18642&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]9.07450177021778[/C][C]0.0849161066347027[/C][/ROW]
[ROW][C]0.02[/C][C]9.15617216043406[/C][C]0.120856997651094[/C][/ROW]
[ROW][C]0.03[/C][C]9.25018923514273[/C][C]0.150797615837993[/C][/ROW]
[ROW][C]0.04[/C][C]9.34543679511815[/C][C]0.159997830788404[/C][/ROW]
[ROW][C]0.05[/C][C]9.4340558922879[/C][C]0.154849542542638[/C][/ROW]
[ROW][C]0.06[/C][C]9.5116115387107[/C][C]0.142099086873304[/C][/ROW]
[ROW][C]0.07[/C][C]9.57671946108741[/C][C]0.124777665202376[/C][/ROW]
[ROW][C]0.08[/C][C]9.62977527004407[/C][C]0.105616961665999[/C][/ROW]
[ROW][C]0.09[/C][C]9.67234133540264[/C][C]0.0885542766635176[/C][/ROW]
[ROW][C]0.1[/C][C]9.70690934680792[/C][C]0.0774939142284802[/C][/ROW]
[ROW][C]0.11[/C][C]9.73645234711057[/C][C]0.074359259610443[/C][/ROW]
[ROW][C]0.12[/C][C]9.76375265449942[/C][C]0.0778359158834114[/C][/ROW]
[ROW][C]0.13[/C][C]9.79081751729352[/C][C]0.0845420672922036[/C][/ROW]
[ROW][C]0.14[/C][C]9.81862726688173[/C][C]0.0911513624181552[/C][/ROW]
[ROW][C]0.15[/C][C]9.84724837932133[/C][C]0.0955475249389387[/C][/ROW]
[ROW][C]0.16[/C][C]9.87618206382196[/C][C]0.0969873513069849[/C][/ROW]
[ROW][C]0.17[/C][C]9.90476732805729[/C][C]0.0959694778365013[/C][/ROW]
[ROW][C]0.18[/C][C]9.93249319236429[/C][C]0.093693262782957[/C][/ROW]
[ROW][C]0.19[/C][C]9.9591507032807[/C][C]0.0914935750582931[/C][/ROW]
[ROW][C]0.2[/C][C]9.9848301948983[/C][C]0.0903732845089742[/C][/ROW]
[ROW][C]0.21[/C][C]10.0098177965101[/C][C]0.0907046704920804[/C][/ROW]
[ROW][C]0.22[/C][C]10.0344600120065[/C][C]0.092296312892042[/C][/ROW]
[ROW][C]0.23[/C][C]10.0590524351339[/C][C]0.0946216631692465[/C][/ROW]
[ROW][C]0.24[/C][C]10.0837814344563[/C][C]0.0971242396313587[/C][/ROW]
[ROW][C]0.25[/C][C]10.1087195590586[/C][C]0.0994285092616478[/C][/ROW]
[ROW][C]0.26[/C][C]10.1338562019420[/C][C]0.101368226223564[/C][/ROW]
[ROW][C]0.27[/C][C]10.1591387050859[/C][C]0.102968147651354[/C][/ROW]
[ROW][C]0.28[/C][C]10.1845041402331[/C][C]0.104314523206474[/C][/ROW]
[ROW][C]0.29[/C][C]10.2098933106336[/C][C]0.105426784774692[/C][/ROW]
[ROW][C]0.3[/C][C]10.2352498538652[/C][C]0.106286219134731[/C][/ROW]
[ROW][C]0.31[/C][C]10.2605139074824[/C][C]0.106792524628932[/C][/ROW]
[ROW][C]0.32[/C][C]10.2856199164708[/C][C]0.106897770006731[/C][/ROW]
[ROW][C]0.33[/C][C]10.3105032723231[/C][C]0.106592485958147[/C][/ROW]
[ROW][C]0.34[/C][C]10.3351139545010[/C][C]0.105969411072972[/C][/ROW]
[ROW][C]0.35[/C][C]10.3594306446984[/C][C]0.105316759584626[/C][/ROW]
[ROW][C]0.36[/C][C]10.3834679012005[/C][C]0.104766164158012[/C][/ROW]
[ROW][C]0.37[/C][C]10.4072718673172[/C][C]0.104518696600246[/C][/ROW]
[ROW][C]0.38[/C][C]10.4309049439777[/C][C]0.104599539021698[/C][/ROW]
[ROW][C]0.39[/C][C]10.4544245320824[/C][C]0.104905885560816[/C][/ROW]
[ROW][C]0.4[/C][C]10.4778634172369[/C][C]0.105242988243760[/C][/ROW]
[ROW][C]0.41[/C][C]10.5012188256701[/C][C]0.105376132208193[/C][/ROW]
[ROW][C]0.42[/C][C]10.5244540953684[/C][C]0.105138003103800[/C][/ROW]
[ROW][C]0.43[/C][C]10.5475126741913[/C][C]0.104468623633939[/C][/ROW]
[ROW][C]0.44[/C][C]10.5703404716142[/C][C]0.103429843862410[/C][/ROW]
[ROW][C]0.45[/C][C]10.5929108168101[/C][C]0.102270687541537[/C][/ROW]
[ROW][C]0.46[/C][C]10.6152470146951[/C][C]0.101286185630557[/C][/ROW]
[ROW][C]0.47[/C][C]10.6374404519984[/C][C]0.100827191809646[/C][/ROW]
[ROW][C]0.48[/C][C]10.6596663606654[/C][C]0.101348070219587[/C][/ROW]
[ROW][C]0.49[/C][C]10.6822032842205[/C][C]0.103281351491306[/C][/ROW]
[ROW][C]0.5[/C][C]10.7054646287486[/C][C]0.107296942581687[/C][/ROW]
[ROW][C]0.51[/C][C]10.7300504055223[/C][C]0.114330337762740[/C][/ROW]
[ROW][C]0.52[/C][C]10.7568239627549[/C][C]0.125771219080907[/C][/ROW]
[ROW][C]0.53[/C][C]10.7870123570807[/C][C]0.143641668866772[/C][/ROW]
[ROW][C]0.54[/C][C]10.8223207519121[/C][C]0.170448269383543[/C][/ROW]
[ROW][C]0.55[/C][C]10.865041944787[/C][C]0.209182555035448[/C][/ROW]
[ROW][C]0.56[/C][C]10.9181331991111[/C][C]0.262964860490279[/C][/ROW]
[ROW][C]0.57[/C][C]10.985225700708[/C][C]0.334635798421999[/C][/ROW]
[ROW][C]0.58[/C][C]11.0705293774682[/C][C]0.426307729440115[/C][/ROW]
[ROW][C]0.59[/C][C]11.1786002574625[/C][C]0.53862936578435[/C][/ROW]
[ROW][C]0.6[/C][C]11.3139519054593[/C][C]0.670172757460851[/C][/ROW]
[ROW][C]0.61[/C][C]11.4805187060442[/C][C]0.816904798902833[/C][/ROW]
[ROW][C]0.62[/C][C]11.6810159586589[/C][C]0.97174450645846[/C][/ROW]
[ROW][C]0.63[/C][C]11.9162842438260[/C][C]1.12482736971830[/C][/ROW]
[ROW][C]0.64[/C][C]12.1847420753189[/C][C]1.26424667076098[/C][/ROW]
[ROW][C]0.65[/C][C]12.4820864207905[/C][C]1.37752301470696[/C][/ROW]
[ROW][C]0.66[/C][C]12.8013612722627[/C][C]1.45338979914225[/C][/ROW]
[ROW][C]0.67[/C][C]13.1334541086747[/C][C]1.48380439399928[/C][/ROW]
[ROW][C]0.68[/C][C]13.4679869272538[/C][C]1.46557705512023[/C][/ROW]
[ROW][C]0.69[/C][C]13.7944661292104[/C][C]1.40105355357603[/C][/ROW]
[ROW][C]0.7[/C][C]14.1034771942056[/C][C]1.29785719929415[/C][/ROW]
[ROW][C]0.71[/C][C]14.3876864104755[/C][C]1.16750673923987[/C][/ROW]
[ROW][C]0.72[/C][C]14.6424569910372[/C][C]1.02328423623451[/C][/ROW]
[ROW][C]0.73[/C][C]14.8659895489434[/C][C]0.877991070862302[/C][/ROW]
[ROW][C]0.74[/C][C]15.0590231041106[/C][C]0.74208483990594[/C][/ROW]
[ROW][C]0.75[/C][C]15.2242392278230[/C][C]0.622609580112499[/C][/ROW]
[ROW][C]0.76[/C][C]15.3655646455434[/C][C]0.523101501000075[/C][/ROW]
[ROW][C]0.77[/C][C]15.4875560577004[/C][C]0.444388619716117[/C][/ROW]
[ROW][C]0.78[/C][C]15.5949896727669[/C][C]0.385774053220615[/C][/ROW]
[ROW][C]0.79[/C][C]15.6926956444290[/C][C]0.346251863723423[/C][/ROW]
[ROW][C]0.8[/C][C]15.7856007244121[/C][C]0.32537950000771[/C][/ROW]
[ROW][C]0.81[/C][C]15.8788844204982[/C][C]0.323571871154658[/C][/ROW]
[ROW][C]0.82[/C][C]15.9781165075607[/C][C]0.341692064436001[/C][/ROW]
[ROW][C]0.83[/C][C]16.0892278116185[/C][C]0.379941449905413[/C][/ROW]
[ROW][C]0.84[/C][C]16.2181819737667[/C][C]0.436611271419497[/C][/ROW]
[ROW][C]0.85[/C][C]16.3702807439499[/C][C]0.506943407460582[/C][/ROW]
[ROW][C]0.86[/C][C]16.5491564638109[/C][C]0.582770921380957[/C][/ROW]
[ROW][C]0.87[/C][C]16.7556588400517[/C][C]0.652940787617129[/C][/ROW]
[ROW][C]0.88[/C][C]16.986972342004[/C][C]0.705039340292023[/C][/ROW]
[ROW][C]0.89[/C][C]17.2363524565630[/C][C]0.728007380049896[/C][/ROW]
[ROW][C]0.9[/C][C]17.4938470983825[/C][C]0.714952884218793[/C][/ROW]
[ROW][C]0.91[/C][C]17.7483233717163[/C][C]0.666056651754488[/C][/ROW]
[ROW][C]0.92[/C][C]17.9909918689265[/C][C]0.590975351260102[/C][/ROW]
[ROW][C]0.93[/C][C]18.2200738295273[/C][C]0.510766601311154[/C][/ROW]
[ROW][C]0.94[/C][C]18.4449548618932[/C][C]0.456680467900493[/C][/ROW]
[ROW][C]0.95[/C][C]18.6867018168320[/C][C]0.455748773595228[/C][/ROW]
[ROW][C]0.96[/C][C]18.9716057981603[/C][C]0.501995522946065[/C][/ROW]
[ROW][C]0.97[/C][C]19.3146342199901[/C][C]0.5524683742511[/C][/ROW]
[ROW][C]0.98[/C][C]19.6897438064277[/C][C]0.52896983094807[/C][/ROW]
[ROW][C]0.99[/C][C]20.0040016308148[/C][C]0.321316823738125[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18642&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18642&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
0.019.074501770217780.0849161066347027
0.029.156172160434060.120856997651094
0.039.250189235142730.150797615837993
0.049.345436795118150.159997830788404
0.059.43405589228790.154849542542638
0.069.51161153871070.142099086873304
0.079.576719461087410.124777665202376
0.089.629775270044070.105616961665999
0.099.672341335402640.0885542766635176
0.19.706909346807920.0774939142284802
0.119.736452347110570.074359259610443
0.129.763752654499420.0778359158834114
0.139.790817517293520.0845420672922036
0.149.818627266881730.0911513624181552
0.159.847248379321330.0955475249389387
0.169.876182063821960.0969873513069849
0.179.904767328057290.0959694778365013
0.189.932493192364290.093693262782957
0.199.95915070328070.0914935750582931
0.29.98483019489830.0903732845089742
0.2110.00981779651010.0907046704920804
0.2210.03446001200650.092296312892042
0.2310.05905243513390.0946216631692465
0.2410.08378143445630.0971242396313587
0.2510.10871955905860.0994285092616478
0.2610.13385620194200.101368226223564
0.2710.15913870508590.102968147651354
0.2810.18450414023310.104314523206474
0.2910.20989331063360.105426784774692
0.310.23524985386520.106286219134731
0.3110.26051390748240.106792524628932
0.3210.28561991647080.106897770006731
0.3310.31050327232310.106592485958147
0.3410.33511395450100.105969411072972
0.3510.35943064469840.105316759584626
0.3610.38346790120050.104766164158012
0.3710.40727186731720.104518696600246
0.3810.43090494397770.104599539021698
0.3910.45442453208240.104905885560816
0.410.47786341723690.105242988243760
0.4110.50121882567010.105376132208193
0.4210.52445409536840.105138003103800
0.4310.54751267419130.104468623633939
0.4410.57034047161420.103429843862410
0.4510.59291081681010.102270687541537
0.4610.61524701469510.101286185630557
0.4710.63744045199840.100827191809646
0.4810.65966636066540.101348070219587
0.4910.68220328422050.103281351491306
0.510.70546462874860.107296942581687
0.5110.73005040552230.114330337762740
0.5210.75682396275490.125771219080907
0.5310.78701235708070.143641668866772
0.5410.82232075191210.170448269383543
0.5510.8650419447870.209182555035448
0.5610.91813319911110.262964860490279
0.5710.9852257007080.334635798421999
0.5811.07052937746820.426307729440115
0.5911.17860025746250.53862936578435
0.611.31395190545930.670172757460851
0.6111.48051870604420.816904798902833
0.6211.68101595865890.97174450645846
0.6311.91628424382601.12482736971830
0.6412.18474207531891.26424667076098
0.6512.48208642079051.37752301470696
0.6612.80136127226271.45338979914225
0.6713.13345410867471.48380439399928
0.6813.46798692725381.46557705512023
0.6913.79446612921041.40105355357603
0.714.10347719420561.29785719929415
0.7114.38768641047551.16750673923987
0.7214.64245699103721.02328423623451
0.7314.86598954894340.877991070862302
0.7415.05902310411060.74208483990594
0.7515.22423922782300.622609580112499
0.7615.36556464554340.523101501000075
0.7715.48755605770040.444388619716117
0.7815.59498967276690.385774053220615
0.7915.69269564442900.346251863723423
0.815.78560072441210.32537950000771
0.8115.87888442049820.323571871154658
0.8215.97811650756070.341692064436001
0.8316.08922781161850.379941449905413
0.8416.21818197376670.436611271419497
0.8516.37028074394990.506943407460582
0.8616.54915646381090.582770921380957
0.8716.75565884005170.652940787617129
0.8816.9869723420040.705039340292023
0.8917.23635245656300.728007380049896
0.917.49384709838250.714952884218793
0.9117.74832337171630.666056651754488
0.9217.99099186892650.590975351260102
0.9318.22007382952730.510766601311154
0.9418.44495486189320.456680467900493
0.9518.68670181683200.455748773595228
0.9618.97160579816030.501995522946065
0.9719.31463421999010.5524683742511
0.9819.68974380642770.52896983094807
0.9920.00400163081480.321316823738125


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')