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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, 17 Aug 2009 06:58:30 -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/2009/Aug/17/t1250514856l2u04o6rt5vlfo6.htm/, Retrieved Tue, 30 Apr 2024 08:28:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=42695, Retrieved Tue, 30 Apr 2024 08:28:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact166

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] [guyVanhasseltbloe...] [2009-08-17 12:58:30] [6998899cd6ebdd3d2c6ef8366ab46470] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0,8800
1,0300
0,6900
0,7100
1,1100
1,0500
1,0300
0,6500
0,5900
0,7700
0,9000
1,2600
0,9600
0,8300
0,8700
0,7900
1,1200
0,8800
0,6400
0,6400
0,5800
0,5000
0,9900
1,0700
0,8900
0,8900
0,8300
0,8600
0,9000
1,1200
0,8800
0,8800
0,8900
0,8200
0,8800
0,8100
0,8800
0,7600
1,1300
0,8500
1,4500
1,5500
0,7100
0,8100
0,8300
0,7300
0,9000
0,9400
1,7800
0,8800
1,0400
0,8300
1,4100
0,9600
1,3000
0,8300
1,4000
0,9100
0,8700
0,9700
1,1900
1,2300
1,3300
1,1700
1,0900
0,6300
0,8900
0,6300
1,5100
0,9700
0,8400
0,9200
0,9500
0,7300
1,0200
0,7900
1,2700
0,9500
0,7500
0,5200
0,9500
0,8200
0,7600
1,2400
0,9400
1,0400
1,8100
0,9500
1,3900
0,8600
1,1500
1,5100
0,6000
0,7200
1,1000
1,6200
1,8400
1,7300
1,3600
1,0700
1,0000
1,4900
0,9000
1,4300
1,5400
0,8100
1,6100
1,3000
1,4000
1,0300
0,7900
1,1100
1,1500
1,0300
1,5900
1,1100
1,3300
0,9300
1,0700
1,1400
1,1200
0,8600
0,8200
1,0200
1,0700
1,3100
0,9800
0,8900
0,8000
0,8000
0,7800
0,9700

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42695&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42695&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42695&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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.5244684732253910.0355928844991898
0.020.5610138927670.0368628715512956
0.030.5908835857265940.0296657177786527
0.040.6125433552644670.0268426403028889
0.050.6300162542240530.0276891430536232
0.060.6462929006410920.0312131163224063
0.070.6627757952715060.0352305307948003
0.080.6795901165199110.0372809549560084
0.090.6960658735396720.0367248510056184
0.10.7114514823462010.0346016140831792
0.110.7253852586875370.0322510725629876
0.120.7379071002742420.0303085538615090
0.130.7492257606371140.0286879272760369
0.140.7595214942700070.0270798277196228
0.150.7688876147308990.0253136286766668
0.160.7773660512204230.0234195321507427
0.170.785000113665440.0215406002496157
0.180.7918626110172880.0198311680690776
0.190.7980560631527990.0183903103599501
0.20.8036993013373090.0172600771785565
0.210.8089145256531270.0164496107293927
0.220.8138211362510650.0159692517605430
0.230.8185349585386470.015841015868754
0.240.823167510996420.016077546585435
0.250.8278204369435280.0166498087390381
0.260.8325738466542570.0174596837037055
0.270.837471732691540.018331913895563
0.280.8425104569477260.0190578775709819
0.290.8476361644992560.0194420148919423
0.30.8527539941184570.0193528237891161
0.310.85774763512440.0187561376401028
0.320.8625041472058660.0177212201466096
0.330.866937493540780.016398354950841
0.340.8710052406689750.0149867419799268
0.350.8747155570047560.0136999957069975
0.360.8781246941700860.0127271889563813
0.370.8813274086403140.0122110228514229
0.380.884443675087990.0122343301527011
0.390.8876046009199620.0128163894401820
0.40.8909392264407810.0139173437343078
0.410.8945626735235780.0154527874071041
0.420.8985655603521530.0172954480230983
0.430.9030049721547590.0192868248490605
0.440.9078982402362920.0212435676047838
0.450.9132215864388620.0229915452961910
0.460.9189155684987180.0243935330523288
0.470.9248978742386730.025380223261506
0.480.9310816990554850.0259794935873031
0.490.9373956152935470.0263028646663443
0.50.943799574334050.0265297139677776
0.510.9502921905068460.0268511219621008
0.520.9569067631630860.0274081040393678
0.530.9636969034462480.0282526199773941
0.540.9707160014147740.0293249237584003
0.550.9779969213712630.0304730344836819
0.560.9855384387040060.0315136732969341
0.570.9933028618772930.0322756372882288
0.581.001225593884540.0326674961207961
0.591.009233285062940.0327042446421645
0.61.017264193287830.0324828791104116
0.611.025283602013930.0321687892297111
0.621.033289040231070.0319166764202472
0.631.041303934027540.0318247640176622
0.641.049362720403240.0319030937305269
0.651.057493730821780.0320721992924728
0.661.065707197185950.03221953044557
0.671.073994327780540.0322516760366025
0.681.082340098444510.0321453498916200
0.691.090748135601490.0320104022112918
0.71.099271804925370.0320864338287464
0.711.108042278815840.0327275744800578
0.721.117282848261800.0343232371685579
0.731.127299946421000.0371663277339651
0.741.138445858110100.0413344748359587
0.751.151055779805690.0465871124553107
0.761.165371438316050.052392240806401
0.771.181472026848470.0580082674928838
0.781.199236711388580.06266356193953
0.791.218357513823020.0657441721386021
0.81.238405819479500.0669891772408004
0.811.258934243499150.0665492267312436
0.821.279578125787770.0649287497183301
0.831.300119533096350.0627688625701391
0.841.320497004261960.0605959515034621
0.851.340776951848760.0587090954805761
0.861.361122958081740.0572389832078232
0.871.381784086378790.056345811198714
0.881.403079735182610.0562267473610994
0.891.425335022743350.0568212663883675
0.91.448768314860880.0575635108497565
0.911.473430616851170.0576781407890021
0.921.499339052828570.0569618854604908
0.931.526868416783270.0563378181719244
0.941.557347147437610.0577620956345873
0.951.593596360293060.0638139766064932
0.961.639370042834360.0751301833369128
0.971.695908851036910.0832162492303169
0.981.757052102359350.0721858400782465
0.991.810270032247120.0435143325645092

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.524468473225391 & 0.0355928844991898 \tabularnewline
0.02 & 0.561013892767 & 0.0368628715512956 \tabularnewline
0.03 & 0.590883585726594 & 0.0296657177786527 \tabularnewline
0.04 & 0.612543355264467 & 0.0268426403028889 \tabularnewline
0.05 & 0.630016254224053 & 0.0276891430536232 \tabularnewline
0.06 & 0.646292900641092 & 0.0312131163224063 \tabularnewline
0.07 & 0.662775795271506 & 0.0352305307948003 \tabularnewline
0.08 & 0.679590116519911 & 0.0372809549560084 \tabularnewline
0.09 & 0.696065873539672 & 0.0367248510056184 \tabularnewline
0.1 & 0.711451482346201 & 0.0346016140831792 \tabularnewline
0.11 & 0.725385258687537 & 0.0322510725629876 \tabularnewline
0.12 & 0.737907100274242 & 0.0303085538615090 \tabularnewline
0.13 & 0.749225760637114 & 0.0286879272760369 \tabularnewline
0.14 & 0.759521494270007 & 0.0270798277196228 \tabularnewline
0.15 & 0.768887614730899 & 0.0253136286766668 \tabularnewline
0.16 & 0.777366051220423 & 0.0234195321507427 \tabularnewline
0.17 & 0.78500011366544 & 0.0215406002496157 \tabularnewline
0.18 & 0.791862611017288 & 0.0198311680690776 \tabularnewline
0.19 & 0.798056063152799 & 0.0183903103599501 \tabularnewline
0.2 & 0.803699301337309 & 0.0172600771785565 \tabularnewline
0.21 & 0.808914525653127 & 0.0164496107293927 \tabularnewline
0.22 & 0.813821136251065 & 0.0159692517605430 \tabularnewline
0.23 & 0.818534958538647 & 0.015841015868754 \tabularnewline
0.24 & 0.82316751099642 & 0.016077546585435 \tabularnewline
0.25 & 0.827820436943528 & 0.0166498087390381 \tabularnewline
0.26 & 0.832573846654257 & 0.0174596837037055 \tabularnewline
0.27 & 0.83747173269154 & 0.018331913895563 \tabularnewline
0.28 & 0.842510456947726 & 0.0190578775709819 \tabularnewline
0.29 & 0.847636164499256 & 0.0194420148919423 \tabularnewline
0.3 & 0.852753994118457 & 0.0193528237891161 \tabularnewline
0.31 & 0.8577476351244 & 0.0187561376401028 \tabularnewline
0.32 & 0.862504147205866 & 0.0177212201466096 \tabularnewline
0.33 & 0.86693749354078 & 0.016398354950841 \tabularnewline
0.34 & 0.871005240668975 & 0.0149867419799268 \tabularnewline
0.35 & 0.874715557004756 & 0.0136999957069975 \tabularnewline
0.36 & 0.878124694170086 & 0.0127271889563813 \tabularnewline
0.37 & 0.881327408640314 & 0.0122110228514229 \tabularnewline
0.38 & 0.88444367508799 & 0.0122343301527011 \tabularnewline
0.39 & 0.887604600919962 & 0.0128163894401820 \tabularnewline
0.4 & 0.890939226440781 & 0.0139173437343078 \tabularnewline
0.41 & 0.894562673523578 & 0.0154527874071041 \tabularnewline
0.42 & 0.898565560352153 & 0.0172954480230983 \tabularnewline
0.43 & 0.903004972154759 & 0.0192868248490605 \tabularnewline
0.44 & 0.907898240236292 & 0.0212435676047838 \tabularnewline
0.45 & 0.913221586438862 & 0.0229915452961910 \tabularnewline
0.46 & 0.918915568498718 & 0.0243935330523288 \tabularnewline
0.47 & 0.924897874238673 & 0.025380223261506 \tabularnewline
0.48 & 0.931081699055485 & 0.0259794935873031 \tabularnewline
0.49 & 0.937395615293547 & 0.0263028646663443 \tabularnewline
0.5 & 0.94379957433405 & 0.0265297139677776 \tabularnewline
0.51 & 0.950292190506846 & 0.0268511219621008 \tabularnewline
0.52 & 0.956906763163086 & 0.0274081040393678 \tabularnewline
0.53 & 0.963696903446248 & 0.0282526199773941 \tabularnewline
0.54 & 0.970716001414774 & 0.0293249237584003 \tabularnewline
0.55 & 0.977996921371263 & 0.0304730344836819 \tabularnewline
0.56 & 0.985538438704006 & 0.0315136732969341 \tabularnewline
0.57 & 0.993302861877293 & 0.0322756372882288 \tabularnewline
0.58 & 1.00122559388454 & 0.0326674961207961 \tabularnewline
0.59 & 1.00923328506294 & 0.0327042446421645 \tabularnewline
0.6 & 1.01726419328783 & 0.0324828791104116 \tabularnewline
0.61 & 1.02528360201393 & 0.0321687892297111 \tabularnewline
0.62 & 1.03328904023107 & 0.0319166764202472 \tabularnewline
0.63 & 1.04130393402754 & 0.0318247640176622 \tabularnewline
0.64 & 1.04936272040324 & 0.0319030937305269 \tabularnewline
0.65 & 1.05749373082178 & 0.0320721992924728 \tabularnewline
0.66 & 1.06570719718595 & 0.03221953044557 \tabularnewline
0.67 & 1.07399432778054 & 0.0322516760366025 \tabularnewline
0.68 & 1.08234009844451 & 0.0321453498916200 \tabularnewline
0.69 & 1.09074813560149 & 0.0320104022112918 \tabularnewline
0.7 & 1.09927180492537 & 0.0320864338287464 \tabularnewline
0.71 & 1.10804227881584 & 0.0327275744800578 \tabularnewline
0.72 & 1.11728284826180 & 0.0343232371685579 \tabularnewline
0.73 & 1.12729994642100 & 0.0371663277339651 \tabularnewline
0.74 & 1.13844585811010 & 0.0413344748359587 \tabularnewline
0.75 & 1.15105577980569 & 0.0465871124553107 \tabularnewline
0.76 & 1.16537143831605 & 0.052392240806401 \tabularnewline
0.77 & 1.18147202684847 & 0.0580082674928838 \tabularnewline
0.78 & 1.19923671138858 & 0.06266356193953 \tabularnewline
0.79 & 1.21835751382302 & 0.0657441721386021 \tabularnewline
0.8 & 1.23840581947950 & 0.0669891772408004 \tabularnewline
0.81 & 1.25893424349915 & 0.0665492267312436 \tabularnewline
0.82 & 1.27957812578777 & 0.0649287497183301 \tabularnewline
0.83 & 1.30011953309635 & 0.0627688625701391 \tabularnewline
0.84 & 1.32049700426196 & 0.0605959515034621 \tabularnewline
0.85 & 1.34077695184876 & 0.0587090954805761 \tabularnewline
0.86 & 1.36112295808174 & 0.0572389832078232 \tabularnewline
0.87 & 1.38178408637879 & 0.056345811198714 \tabularnewline
0.88 & 1.40307973518261 & 0.0562267473610994 \tabularnewline
0.89 & 1.42533502274335 & 0.0568212663883675 \tabularnewline
0.9 & 1.44876831486088 & 0.0575635108497565 \tabularnewline
0.91 & 1.47343061685117 & 0.0576781407890021 \tabularnewline
0.92 & 1.49933905282857 & 0.0569618854604908 \tabularnewline
0.93 & 1.52686841678327 & 0.0563378181719244 \tabularnewline
0.94 & 1.55734714743761 & 0.0577620956345873 \tabularnewline
0.95 & 1.59359636029306 & 0.0638139766064932 \tabularnewline
0.96 & 1.63937004283436 & 0.0751301833369128 \tabularnewline
0.97 & 1.69590885103691 & 0.0832162492303169 \tabularnewline
0.98 & 1.75705210235935 & 0.0721858400782465 \tabularnewline
0.99 & 1.81027003224712 & 0.0435143325645092 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=42695&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]0.524468473225391[/C][C]0.0355928844991898[/C][/ROW]
[ROW][C]0.02[/C][C]0.561013892767[/C][C]0.0368628715512956[/C][/ROW]
[ROW][C]0.03[/C][C]0.590883585726594[/C][C]0.0296657177786527[/C][/ROW]
[ROW][C]0.04[/C][C]0.612543355264467[/C][C]0.0268426403028889[/C][/ROW]
[ROW][C]0.05[/C][C]0.630016254224053[/C][C]0.0276891430536232[/C][/ROW]
[ROW][C]0.06[/C][C]0.646292900641092[/C][C]0.0312131163224063[/C][/ROW]
[ROW][C]0.07[/C][C]0.662775795271506[/C][C]0.0352305307948003[/C][/ROW]
[ROW][C]0.08[/C][C]0.679590116519911[/C][C]0.0372809549560084[/C][/ROW]
[ROW][C]0.09[/C][C]0.696065873539672[/C][C]0.0367248510056184[/C][/ROW]
[ROW][C]0.1[/C][C]0.711451482346201[/C][C]0.0346016140831792[/C][/ROW]
[ROW][C]0.11[/C][C]0.725385258687537[/C][C]0.0322510725629876[/C][/ROW]
[ROW][C]0.12[/C][C]0.737907100274242[/C][C]0.0303085538615090[/C][/ROW]
[ROW][C]0.13[/C][C]0.749225760637114[/C][C]0.0286879272760369[/C][/ROW]
[ROW][C]0.14[/C][C]0.759521494270007[/C][C]0.0270798277196228[/C][/ROW]
[ROW][C]0.15[/C][C]0.768887614730899[/C][C]0.0253136286766668[/C][/ROW]
[ROW][C]0.16[/C][C]0.777366051220423[/C][C]0.0234195321507427[/C][/ROW]
[ROW][C]0.17[/C][C]0.78500011366544[/C][C]0.0215406002496157[/C][/ROW]
[ROW][C]0.18[/C][C]0.791862611017288[/C][C]0.0198311680690776[/C][/ROW]
[ROW][C]0.19[/C][C]0.798056063152799[/C][C]0.0183903103599501[/C][/ROW]
[ROW][C]0.2[/C][C]0.803699301337309[/C][C]0.0172600771785565[/C][/ROW]
[ROW][C]0.21[/C][C]0.808914525653127[/C][C]0.0164496107293927[/C][/ROW]
[ROW][C]0.22[/C][C]0.813821136251065[/C][C]0.0159692517605430[/C][/ROW]
[ROW][C]0.23[/C][C]0.818534958538647[/C][C]0.015841015868754[/C][/ROW]
[ROW][C]0.24[/C][C]0.82316751099642[/C][C]0.016077546585435[/C][/ROW]
[ROW][C]0.25[/C][C]0.827820436943528[/C][C]0.0166498087390381[/C][/ROW]
[ROW][C]0.26[/C][C]0.832573846654257[/C][C]0.0174596837037055[/C][/ROW]
[ROW][C]0.27[/C][C]0.83747173269154[/C][C]0.018331913895563[/C][/ROW]
[ROW][C]0.28[/C][C]0.842510456947726[/C][C]0.0190578775709819[/C][/ROW]
[ROW][C]0.29[/C][C]0.847636164499256[/C][C]0.0194420148919423[/C][/ROW]
[ROW][C]0.3[/C][C]0.852753994118457[/C][C]0.0193528237891161[/C][/ROW]
[ROW][C]0.31[/C][C]0.8577476351244[/C][C]0.0187561376401028[/C][/ROW]
[ROW][C]0.32[/C][C]0.862504147205866[/C][C]0.0177212201466096[/C][/ROW]
[ROW][C]0.33[/C][C]0.86693749354078[/C][C]0.016398354950841[/C][/ROW]
[ROW][C]0.34[/C][C]0.871005240668975[/C][C]0.0149867419799268[/C][/ROW]
[ROW][C]0.35[/C][C]0.874715557004756[/C][C]0.0136999957069975[/C][/ROW]
[ROW][C]0.36[/C][C]0.878124694170086[/C][C]0.0127271889563813[/C][/ROW]
[ROW][C]0.37[/C][C]0.881327408640314[/C][C]0.0122110228514229[/C][/ROW]
[ROW][C]0.38[/C][C]0.88444367508799[/C][C]0.0122343301527011[/C][/ROW]
[ROW][C]0.39[/C][C]0.887604600919962[/C][C]0.0128163894401820[/C][/ROW]
[ROW][C]0.4[/C][C]0.890939226440781[/C][C]0.0139173437343078[/C][/ROW]
[ROW][C]0.41[/C][C]0.894562673523578[/C][C]0.0154527874071041[/C][/ROW]
[ROW][C]0.42[/C][C]0.898565560352153[/C][C]0.0172954480230983[/C][/ROW]
[ROW][C]0.43[/C][C]0.903004972154759[/C][C]0.0192868248490605[/C][/ROW]
[ROW][C]0.44[/C][C]0.907898240236292[/C][C]0.0212435676047838[/C][/ROW]
[ROW][C]0.45[/C][C]0.913221586438862[/C][C]0.0229915452961910[/C][/ROW]
[ROW][C]0.46[/C][C]0.918915568498718[/C][C]0.0243935330523288[/C][/ROW]
[ROW][C]0.47[/C][C]0.924897874238673[/C][C]0.025380223261506[/C][/ROW]
[ROW][C]0.48[/C][C]0.931081699055485[/C][C]0.0259794935873031[/C][/ROW]
[ROW][C]0.49[/C][C]0.937395615293547[/C][C]0.0263028646663443[/C][/ROW]
[ROW][C]0.5[/C][C]0.94379957433405[/C][C]0.0265297139677776[/C][/ROW]
[ROW][C]0.51[/C][C]0.950292190506846[/C][C]0.0268511219621008[/C][/ROW]
[ROW][C]0.52[/C][C]0.956906763163086[/C][C]0.0274081040393678[/C][/ROW]
[ROW][C]0.53[/C][C]0.963696903446248[/C][C]0.0282526199773941[/C][/ROW]
[ROW][C]0.54[/C][C]0.970716001414774[/C][C]0.0293249237584003[/C][/ROW]
[ROW][C]0.55[/C][C]0.977996921371263[/C][C]0.0304730344836819[/C][/ROW]
[ROW][C]0.56[/C][C]0.985538438704006[/C][C]0.0315136732969341[/C][/ROW]
[ROW][C]0.57[/C][C]0.993302861877293[/C][C]0.0322756372882288[/C][/ROW]
[ROW][C]0.58[/C][C]1.00122559388454[/C][C]0.0326674961207961[/C][/ROW]
[ROW][C]0.59[/C][C]1.00923328506294[/C][C]0.0327042446421645[/C][/ROW]
[ROW][C]0.6[/C][C]1.01726419328783[/C][C]0.0324828791104116[/C][/ROW]
[ROW][C]0.61[/C][C]1.02528360201393[/C][C]0.0321687892297111[/C][/ROW]
[ROW][C]0.62[/C][C]1.03328904023107[/C][C]0.0319166764202472[/C][/ROW]
[ROW][C]0.63[/C][C]1.04130393402754[/C][C]0.0318247640176622[/C][/ROW]
[ROW][C]0.64[/C][C]1.04936272040324[/C][C]0.0319030937305269[/C][/ROW]
[ROW][C]0.65[/C][C]1.05749373082178[/C][C]0.0320721992924728[/C][/ROW]
[ROW][C]0.66[/C][C]1.06570719718595[/C][C]0.03221953044557[/C][/ROW]
[ROW][C]0.67[/C][C]1.07399432778054[/C][C]0.0322516760366025[/C][/ROW]
[ROW][C]0.68[/C][C]1.08234009844451[/C][C]0.0321453498916200[/C][/ROW]
[ROW][C]0.69[/C][C]1.09074813560149[/C][C]0.0320104022112918[/C][/ROW]
[ROW][C]0.7[/C][C]1.09927180492537[/C][C]0.0320864338287464[/C][/ROW]
[ROW][C]0.71[/C][C]1.10804227881584[/C][C]0.0327275744800578[/C][/ROW]
[ROW][C]0.72[/C][C]1.11728284826180[/C][C]0.0343232371685579[/C][/ROW]
[ROW][C]0.73[/C][C]1.12729994642100[/C][C]0.0371663277339651[/C][/ROW]
[ROW][C]0.74[/C][C]1.13844585811010[/C][C]0.0413344748359587[/C][/ROW]
[ROW][C]0.75[/C][C]1.15105577980569[/C][C]0.0465871124553107[/C][/ROW]
[ROW][C]0.76[/C][C]1.16537143831605[/C][C]0.052392240806401[/C][/ROW]
[ROW][C]0.77[/C][C]1.18147202684847[/C][C]0.0580082674928838[/C][/ROW]
[ROW][C]0.78[/C][C]1.19923671138858[/C][C]0.06266356193953[/C][/ROW]
[ROW][C]0.79[/C][C]1.21835751382302[/C][C]0.0657441721386021[/C][/ROW]
[ROW][C]0.8[/C][C]1.23840581947950[/C][C]0.0669891772408004[/C][/ROW]
[ROW][C]0.81[/C][C]1.25893424349915[/C][C]0.0665492267312436[/C][/ROW]
[ROW][C]0.82[/C][C]1.27957812578777[/C][C]0.0649287497183301[/C][/ROW]
[ROW][C]0.83[/C][C]1.30011953309635[/C][C]0.0627688625701391[/C][/ROW]
[ROW][C]0.84[/C][C]1.32049700426196[/C][C]0.0605959515034621[/C][/ROW]
[ROW][C]0.85[/C][C]1.34077695184876[/C][C]0.0587090954805761[/C][/ROW]
[ROW][C]0.86[/C][C]1.36112295808174[/C][C]0.0572389832078232[/C][/ROW]
[ROW][C]0.87[/C][C]1.38178408637879[/C][C]0.056345811198714[/C][/ROW]
[ROW][C]0.88[/C][C]1.40307973518261[/C][C]0.0562267473610994[/C][/ROW]
[ROW][C]0.89[/C][C]1.42533502274335[/C][C]0.0568212663883675[/C][/ROW]
[ROW][C]0.9[/C][C]1.44876831486088[/C][C]0.0575635108497565[/C][/ROW]
[ROW][C]0.91[/C][C]1.47343061685117[/C][C]0.0576781407890021[/C][/ROW]
[ROW][C]0.92[/C][C]1.49933905282857[/C][C]0.0569618854604908[/C][/ROW]
[ROW][C]0.93[/C][C]1.52686841678327[/C][C]0.0563378181719244[/C][/ROW]
[ROW][C]0.94[/C][C]1.55734714743761[/C][C]0.0577620956345873[/C][/ROW]
[ROW][C]0.95[/C][C]1.59359636029306[/C][C]0.0638139766064932[/C][/ROW]
[ROW][C]0.96[/C][C]1.63937004283436[/C][C]0.0751301833369128[/C][/ROW]
[ROW][C]0.97[/C][C]1.69590885103691[/C][C]0.0832162492303169[/C][/ROW]
[ROW][C]0.98[/C][C]1.75705210235935[/C][C]0.0721858400782465[/C][/ROW]
[ROW][C]0.99[/C][C]1.81027003224712[/C][C]0.0435143325645092[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=42695&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=42695&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
0.010.5244684732253910.0355928844991898
0.020.5610138927670.0368628715512956
0.030.5908835857265940.0296657177786527
0.040.6125433552644670.0268426403028889
0.050.6300162542240530.0276891430536232
0.060.6462929006410920.0312131163224063
0.070.6627757952715060.0352305307948003
0.080.6795901165199110.0372809549560084
0.090.6960658735396720.0367248510056184
0.10.7114514823462010.0346016140831792
0.110.7253852586875370.0322510725629876
0.120.7379071002742420.0303085538615090
0.130.7492257606371140.0286879272760369
0.140.7595214942700070.0270798277196228
0.150.7688876147308990.0253136286766668
0.160.7773660512204230.0234195321507427
0.170.785000113665440.0215406002496157
0.180.7918626110172880.0198311680690776
0.190.7980560631527990.0183903103599501
0.20.8036993013373090.0172600771785565
0.210.8089145256531270.0164496107293927
0.220.8138211362510650.0159692517605430
0.230.8185349585386470.015841015868754
0.240.823167510996420.016077546585435
0.250.8278204369435280.0166498087390381
0.260.8325738466542570.0174596837037055
0.270.837471732691540.018331913895563
0.280.8425104569477260.0190578775709819
0.290.8476361644992560.0194420148919423
0.30.8527539941184570.0193528237891161
0.310.85774763512440.0187561376401028
0.320.8625041472058660.0177212201466096
0.330.866937493540780.016398354950841
0.340.8710052406689750.0149867419799268
0.350.8747155570047560.0136999957069975
0.360.8781246941700860.0127271889563813
0.370.8813274086403140.0122110228514229
0.380.884443675087990.0122343301527011
0.390.8876046009199620.0128163894401820
0.40.8909392264407810.0139173437343078
0.410.8945626735235780.0154527874071041
0.420.8985655603521530.0172954480230983
0.430.9030049721547590.0192868248490605
0.440.9078982402362920.0212435676047838
0.450.9132215864388620.0229915452961910
0.460.9189155684987180.0243935330523288
0.470.9248978742386730.025380223261506
0.480.9310816990554850.0259794935873031
0.490.9373956152935470.0263028646663443
0.50.943799574334050.0265297139677776
0.510.9502921905068460.0268511219621008
0.520.9569067631630860.0274081040393678
0.530.9636969034462480.0282526199773941
0.540.9707160014147740.0293249237584003
0.550.9779969213712630.0304730344836819
0.560.9855384387040060.0315136732969341
0.570.9933028618772930.0322756372882288
0.581.001225593884540.0326674961207961
0.591.009233285062940.0327042446421645
0.61.017264193287830.0324828791104116
0.611.025283602013930.0321687892297111
0.621.033289040231070.0319166764202472
0.631.041303934027540.0318247640176622
0.641.049362720403240.0319030937305269
0.651.057493730821780.0320721992924728
0.661.065707197185950.03221953044557
0.671.073994327780540.0322516760366025
0.681.082340098444510.0321453498916200
0.691.090748135601490.0320104022112918
0.71.099271804925370.0320864338287464
0.711.108042278815840.0327275744800578
0.721.117282848261800.0343232371685579
0.731.127299946421000.0371663277339651
0.741.138445858110100.0413344748359587
0.751.151055779805690.0465871124553107
0.761.165371438316050.052392240806401
0.771.181472026848470.0580082674928838
0.781.199236711388580.06266356193953
0.791.218357513823020.0657441721386021
0.81.238405819479500.0669891772408004
0.811.258934243499150.0665492267312436
0.821.279578125787770.0649287497183301
0.831.300119533096350.0627688625701391
0.841.320497004261960.0605959515034621
0.851.340776951848760.0587090954805761
0.861.361122958081740.0572389832078232
0.871.381784086378790.056345811198714
0.881.403079735182610.0562267473610994
0.891.425335022743350.0568212663883675
0.91.448768314860880.0575635108497565
0.911.473430616851170.0576781407890021
0.921.499339052828570.0569618854604908
0.931.526868416783270.0563378181719244
0.941.557347147437610.0577620956345873
0.951.593596360293060.0638139766064932
0.961.639370042834360.0751301833369128
0.971.695908851036910.0832162492303169
0.981.757052102359350.0721858400782465
0.991.810270032247120.0435143325645092


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')