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Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 01 Mar 2012 06:28:14 -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/2012/Mar/01/t13306013110rzyhuc6dyx7qbe.htm/, Retrieved Sun, 28 Apr 2024 14:47:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163347, Retrieved Sun, 28 Apr 2024 14:47:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact139
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2012-03-01 11:28:14] [a77d50c199526ea1c5b38e78affe5e1d] [Current]
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Dataseries X:
4
4
4
4
4
4
4
4
4.06
4.07
4.07
4.07
4.07
4.07
4.3
4.44
4.52
4.52
4.52
4.53
4.53
4.53
4.53
4.53
4.53
4.53
4.53
4.61
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.63
4.66
4.7
4.72
4.73
4.73
4.74
4.74
4.74
4.76
4.88
4.88
4.88
4.88
4.89
4.97
4.97
4.97
4.97
4.97
4.97
4.97
4.97




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=163347&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=163347&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163347&T=0

As an alternative you can also use a 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
0.014.000003238465431.74132435019137e-05
0.024.000021632970560.000103247107183266
0.034.000087306640730.000369213055647038
0.044.00026695136040.00100055936962058
0.054.000674522709850.00224076006004478
0.064.001475208967090.00431588209274884
0.074.002875252079970.00739029555913099
0.084.005097541152710.0114645654453711
0.094.0083498861790.0163870112429035
0.14.012797932975510.021910039145358
0.114.018554767756260.0278060588568436
0.124.025693664047390.03401694027308
0.134.034281221225030.0407564987917786
0.144.044419182086130.0485347247449577
0.154.056278268982720.0579976547595406
0.164.070108480092390.0696885047090434
0.174.086217025613220.0837775267357858
0.184.104914989257150.0999430331606713
0.194.126443484751550.117355582655222
0.24.150896518226070.134798819322494
0.214.178159248290520.150855790316726
0.224.207876791768120.164084549096222
0.234.239461520348090.173265288776806
0.244.272138128219090.177550986637017
0.254.305017923534710.17659021403562
0.264.337188584573520.170557344659689
0.274.367803899423830.160085636348804
0.284.396159671940380.146163142101854
0.294.421746136153890.129983656718729
0.34.444272560858050.112783593544948
0.314.463664908515230.0957088417431176
0.324.480041407961620.0797282254403866
0.334.493673168050610.0655643621808121
0.344.504937465833940.0537052418066293
0.354.514270447407330.0444276601600187
0.364.522124249338930.0378231263996083
0.374.528931569457890.0337985768676282
0.384.535078948774680.0320489009313388
0.394.540888735178470.0320780524295387
0.44.546608948024610.0332965150282745
0.414.552409962728590.0351336857504822
0.424.558386918633020.0371216290078614
0.434.564566846298660.0388754778463784
0.444.570919580796170.0401046554023449
0.454.57737151355950.0406305563084113
0.464.583821142619440.0403415078152786
0.474.590155262185390.039237185368553
0.484.596264557336350.0374003345453339
0.494.602057396493090.0349877984744687
0.54.607470771313640.0322040155490873
0.514.61247761182870.0292988975539173
0.524.617090064616360.0265391111833869
0.534.621358708432640.0241922240237738
0.544.625368041343720.0225035621151561
0.554.629228867941960.0216741592672762
0.564.633068428562980.0218220132087334
0.574.637019248197090.0229194521865326
0.584.641207755237020.0248516288257864
0.594.645743742101450.0274007124377118
0.64.650711712350430.0303330715980095
0.614.656165067704830.0334119954758026
0.624.662123906991790.0364085754298972
0.634.66857691002110.039124588962041
0.644.675487349335810.0414185050634253
0.654.682802727030640.0432089854128123
0.664.690466926389120.0445099326968505
0.674.698433192854370.045413778676561
0.684.70667584016050.046102004148338
0.694.715198449475470.0468105030894064
0.74.724036605762460.0477949275167378
0.714.733253952694720.049274997057726
0.724.742931508029510.0513608201668235
0.734.75315160757530.054021424243802
0.744.763979255879420.0570696496888923
0.754.775444682669420.0601977040343619
0.764.787531150767180.0630328434342265
0.774.800171256146040.0652123626094423
0.784.813253070648950.0664661573712201
0.794.826634820067670.066656671457306
0.84.840164050248270.0658110327135331
0.814.853695341660890.0641067649528596
0.824.867100486444540.0618085242411728
0.834.880267131460870.0591644603696393
0.844.893085952517490.0563160982119544
0.854.905431300578210.0532153987458353
0.864.917144118286410.0496627019880559
0.874.928026876379270.0453976396309729
0.884.937857239403510.0402468338792506
0.894.946420600506450.0342467544730669
0.94.953553727999590.027679064705469
0.914.959185834410660.0210297561724402
0.924.963362396380780.0148531191463753
0.934.966242121962710.00963336061131826
0.944.968066905268470.00564903757478546
0.954.969114449265070.002936562428706
0.964.969649034500420.0013153255642441
0.974.969885087395720.000484919797588006
0.984.96997150001060.000134384141851996
0.994.969995730026682.23920970003096e-05

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.00000323846543 & 1.74132435019137e-05 \tabularnewline
0.02 & 4.00002163297056 & 0.000103247107183266 \tabularnewline
0.03 & 4.00008730664073 & 0.000369213055647038 \tabularnewline
0.04 & 4.0002669513604 & 0.00100055936962058 \tabularnewline
0.05 & 4.00067452270985 & 0.00224076006004478 \tabularnewline
0.06 & 4.00147520896709 & 0.00431588209274884 \tabularnewline
0.07 & 4.00287525207997 & 0.00739029555913099 \tabularnewline
0.08 & 4.00509754115271 & 0.0114645654453711 \tabularnewline
0.09 & 4.008349886179 & 0.0163870112429035 \tabularnewline
0.1 & 4.01279793297551 & 0.021910039145358 \tabularnewline
0.11 & 4.01855476775626 & 0.0278060588568436 \tabularnewline
0.12 & 4.02569366404739 & 0.03401694027308 \tabularnewline
0.13 & 4.03428122122503 & 0.0407564987917786 \tabularnewline
0.14 & 4.04441918208613 & 0.0485347247449577 \tabularnewline
0.15 & 4.05627826898272 & 0.0579976547595406 \tabularnewline
0.16 & 4.07010848009239 & 0.0696885047090434 \tabularnewline
0.17 & 4.08621702561322 & 0.0837775267357858 \tabularnewline
0.18 & 4.10491498925715 & 0.0999430331606713 \tabularnewline
0.19 & 4.12644348475155 & 0.117355582655222 \tabularnewline
0.2 & 4.15089651822607 & 0.134798819322494 \tabularnewline
0.21 & 4.17815924829052 & 0.150855790316726 \tabularnewline
0.22 & 4.20787679176812 & 0.164084549096222 \tabularnewline
0.23 & 4.23946152034809 & 0.173265288776806 \tabularnewline
0.24 & 4.27213812821909 & 0.177550986637017 \tabularnewline
0.25 & 4.30501792353471 & 0.17659021403562 \tabularnewline
0.26 & 4.33718858457352 & 0.170557344659689 \tabularnewline
0.27 & 4.36780389942383 & 0.160085636348804 \tabularnewline
0.28 & 4.39615967194038 & 0.146163142101854 \tabularnewline
0.29 & 4.42174613615389 & 0.129983656718729 \tabularnewline
0.3 & 4.44427256085805 & 0.112783593544948 \tabularnewline
0.31 & 4.46366490851523 & 0.0957088417431176 \tabularnewline
0.32 & 4.48004140796162 & 0.0797282254403866 \tabularnewline
0.33 & 4.49367316805061 & 0.0655643621808121 \tabularnewline
0.34 & 4.50493746583394 & 0.0537052418066293 \tabularnewline
0.35 & 4.51427044740733 & 0.0444276601600187 \tabularnewline
0.36 & 4.52212424933893 & 0.0378231263996083 \tabularnewline
0.37 & 4.52893156945789 & 0.0337985768676282 \tabularnewline
0.38 & 4.53507894877468 & 0.0320489009313388 \tabularnewline
0.39 & 4.54088873517847 & 0.0320780524295387 \tabularnewline
0.4 & 4.54660894802461 & 0.0332965150282745 \tabularnewline
0.41 & 4.55240996272859 & 0.0351336857504822 \tabularnewline
0.42 & 4.55838691863302 & 0.0371216290078614 \tabularnewline
0.43 & 4.56456684629866 & 0.0388754778463784 \tabularnewline
0.44 & 4.57091958079617 & 0.0401046554023449 \tabularnewline
0.45 & 4.5773715135595 & 0.0406305563084113 \tabularnewline
0.46 & 4.58382114261944 & 0.0403415078152786 \tabularnewline
0.47 & 4.59015526218539 & 0.039237185368553 \tabularnewline
0.48 & 4.59626455733635 & 0.0374003345453339 \tabularnewline
0.49 & 4.60205739649309 & 0.0349877984744687 \tabularnewline
0.5 & 4.60747077131364 & 0.0322040155490873 \tabularnewline
0.51 & 4.6124776118287 & 0.0292988975539173 \tabularnewline
0.52 & 4.61709006461636 & 0.0265391111833869 \tabularnewline
0.53 & 4.62135870843264 & 0.0241922240237738 \tabularnewline
0.54 & 4.62536804134372 & 0.0225035621151561 \tabularnewline
0.55 & 4.62922886794196 & 0.0216741592672762 \tabularnewline
0.56 & 4.63306842856298 & 0.0218220132087334 \tabularnewline
0.57 & 4.63701924819709 & 0.0229194521865326 \tabularnewline
0.58 & 4.64120775523702 & 0.0248516288257864 \tabularnewline
0.59 & 4.64574374210145 & 0.0274007124377118 \tabularnewline
0.6 & 4.65071171235043 & 0.0303330715980095 \tabularnewline
0.61 & 4.65616506770483 & 0.0334119954758026 \tabularnewline
0.62 & 4.66212390699179 & 0.0364085754298972 \tabularnewline
0.63 & 4.6685769100211 & 0.039124588962041 \tabularnewline
0.64 & 4.67548734933581 & 0.0414185050634253 \tabularnewline
0.65 & 4.68280272703064 & 0.0432089854128123 \tabularnewline
0.66 & 4.69046692638912 & 0.0445099326968505 \tabularnewline
0.67 & 4.69843319285437 & 0.045413778676561 \tabularnewline
0.68 & 4.7066758401605 & 0.046102004148338 \tabularnewline
0.69 & 4.71519844947547 & 0.0468105030894064 \tabularnewline
0.7 & 4.72403660576246 & 0.0477949275167378 \tabularnewline
0.71 & 4.73325395269472 & 0.049274997057726 \tabularnewline
0.72 & 4.74293150802951 & 0.0513608201668235 \tabularnewline
0.73 & 4.7531516075753 & 0.054021424243802 \tabularnewline
0.74 & 4.76397925587942 & 0.0570696496888923 \tabularnewline
0.75 & 4.77544468266942 & 0.0601977040343619 \tabularnewline
0.76 & 4.78753115076718 & 0.0630328434342265 \tabularnewline
0.77 & 4.80017125614604 & 0.0652123626094423 \tabularnewline
0.78 & 4.81325307064895 & 0.0664661573712201 \tabularnewline
0.79 & 4.82663482006767 & 0.066656671457306 \tabularnewline
0.8 & 4.84016405024827 & 0.0658110327135331 \tabularnewline
0.81 & 4.85369534166089 & 0.0641067649528596 \tabularnewline
0.82 & 4.86710048644454 & 0.0618085242411728 \tabularnewline
0.83 & 4.88026713146087 & 0.0591644603696393 \tabularnewline
0.84 & 4.89308595251749 & 0.0563160982119544 \tabularnewline
0.85 & 4.90543130057821 & 0.0532153987458353 \tabularnewline
0.86 & 4.91714411828641 & 0.0496627019880559 \tabularnewline
0.87 & 4.92802687637927 & 0.0453976396309729 \tabularnewline
0.88 & 4.93785723940351 & 0.0402468338792506 \tabularnewline
0.89 & 4.94642060050645 & 0.0342467544730669 \tabularnewline
0.9 & 4.95355372799959 & 0.027679064705469 \tabularnewline
0.91 & 4.95918583441066 & 0.0210297561724402 \tabularnewline
0.92 & 4.96336239638078 & 0.0148531191463753 \tabularnewline
0.93 & 4.96624212196271 & 0.00963336061131826 \tabularnewline
0.94 & 4.96806690526847 & 0.00564903757478546 \tabularnewline
0.95 & 4.96911444926507 & 0.002936562428706 \tabularnewline
0.96 & 4.96964903450042 & 0.0013153255642441 \tabularnewline
0.97 & 4.96988508739572 & 0.000484919797588006 \tabularnewline
0.98 & 4.9699715000106 & 0.000134384141851996 \tabularnewline
0.99 & 4.96999573002668 & 2.23920970003096e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163347&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]4.00000323846543[/C][C]1.74132435019137e-05[/C][/ROW]
[ROW][C]0.02[/C][C]4.00002163297056[/C][C]0.000103247107183266[/C][/ROW]
[ROW][C]0.03[/C][C]4.00008730664073[/C][C]0.000369213055647038[/C][/ROW]
[ROW][C]0.04[/C][C]4.0002669513604[/C][C]0.00100055936962058[/C][/ROW]
[ROW][C]0.05[/C][C]4.00067452270985[/C][C]0.00224076006004478[/C][/ROW]
[ROW][C]0.06[/C][C]4.00147520896709[/C][C]0.00431588209274884[/C][/ROW]
[ROW][C]0.07[/C][C]4.00287525207997[/C][C]0.00739029555913099[/C][/ROW]
[ROW][C]0.08[/C][C]4.00509754115271[/C][C]0.0114645654453711[/C][/ROW]
[ROW][C]0.09[/C][C]4.008349886179[/C][C]0.0163870112429035[/C][/ROW]
[ROW][C]0.1[/C][C]4.01279793297551[/C][C]0.021910039145358[/C][/ROW]
[ROW][C]0.11[/C][C]4.01855476775626[/C][C]0.0278060588568436[/C][/ROW]
[ROW][C]0.12[/C][C]4.02569366404739[/C][C]0.03401694027308[/C][/ROW]
[ROW][C]0.13[/C][C]4.03428122122503[/C][C]0.0407564987917786[/C][/ROW]
[ROW][C]0.14[/C][C]4.04441918208613[/C][C]0.0485347247449577[/C][/ROW]
[ROW][C]0.15[/C][C]4.05627826898272[/C][C]0.0579976547595406[/C][/ROW]
[ROW][C]0.16[/C][C]4.07010848009239[/C][C]0.0696885047090434[/C][/ROW]
[ROW][C]0.17[/C][C]4.08621702561322[/C][C]0.0837775267357858[/C][/ROW]
[ROW][C]0.18[/C][C]4.10491498925715[/C][C]0.0999430331606713[/C][/ROW]
[ROW][C]0.19[/C][C]4.12644348475155[/C][C]0.117355582655222[/C][/ROW]
[ROW][C]0.2[/C][C]4.15089651822607[/C][C]0.134798819322494[/C][/ROW]
[ROW][C]0.21[/C][C]4.17815924829052[/C][C]0.150855790316726[/C][/ROW]
[ROW][C]0.22[/C][C]4.20787679176812[/C][C]0.164084549096222[/C][/ROW]
[ROW][C]0.23[/C][C]4.23946152034809[/C][C]0.173265288776806[/C][/ROW]
[ROW][C]0.24[/C][C]4.27213812821909[/C][C]0.177550986637017[/C][/ROW]
[ROW][C]0.25[/C][C]4.30501792353471[/C][C]0.17659021403562[/C][/ROW]
[ROW][C]0.26[/C][C]4.33718858457352[/C][C]0.170557344659689[/C][/ROW]
[ROW][C]0.27[/C][C]4.36780389942383[/C][C]0.160085636348804[/C][/ROW]
[ROW][C]0.28[/C][C]4.39615967194038[/C][C]0.146163142101854[/C][/ROW]
[ROW][C]0.29[/C][C]4.42174613615389[/C][C]0.129983656718729[/C][/ROW]
[ROW][C]0.3[/C][C]4.44427256085805[/C][C]0.112783593544948[/C][/ROW]
[ROW][C]0.31[/C][C]4.46366490851523[/C][C]0.0957088417431176[/C][/ROW]
[ROW][C]0.32[/C][C]4.48004140796162[/C][C]0.0797282254403866[/C][/ROW]
[ROW][C]0.33[/C][C]4.49367316805061[/C][C]0.0655643621808121[/C][/ROW]
[ROW][C]0.34[/C][C]4.50493746583394[/C][C]0.0537052418066293[/C][/ROW]
[ROW][C]0.35[/C][C]4.51427044740733[/C][C]0.0444276601600187[/C][/ROW]
[ROW][C]0.36[/C][C]4.52212424933893[/C][C]0.0378231263996083[/C][/ROW]
[ROW][C]0.37[/C][C]4.52893156945789[/C][C]0.0337985768676282[/C][/ROW]
[ROW][C]0.38[/C][C]4.53507894877468[/C][C]0.0320489009313388[/C][/ROW]
[ROW][C]0.39[/C][C]4.54088873517847[/C][C]0.0320780524295387[/C][/ROW]
[ROW][C]0.4[/C][C]4.54660894802461[/C][C]0.0332965150282745[/C][/ROW]
[ROW][C]0.41[/C][C]4.55240996272859[/C][C]0.0351336857504822[/C][/ROW]
[ROW][C]0.42[/C][C]4.55838691863302[/C][C]0.0371216290078614[/C][/ROW]
[ROW][C]0.43[/C][C]4.56456684629866[/C][C]0.0388754778463784[/C][/ROW]
[ROW][C]0.44[/C][C]4.57091958079617[/C][C]0.0401046554023449[/C][/ROW]
[ROW][C]0.45[/C][C]4.5773715135595[/C][C]0.0406305563084113[/C][/ROW]
[ROW][C]0.46[/C][C]4.58382114261944[/C][C]0.0403415078152786[/C][/ROW]
[ROW][C]0.47[/C][C]4.59015526218539[/C][C]0.039237185368553[/C][/ROW]
[ROW][C]0.48[/C][C]4.59626455733635[/C][C]0.0374003345453339[/C][/ROW]
[ROW][C]0.49[/C][C]4.60205739649309[/C][C]0.0349877984744687[/C][/ROW]
[ROW][C]0.5[/C][C]4.60747077131364[/C][C]0.0322040155490873[/C][/ROW]
[ROW][C]0.51[/C][C]4.6124776118287[/C][C]0.0292988975539173[/C][/ROW]
[ROW][C]0.52[/C][C]4.61709006461636[/C][C]0.0265391111833869[/C][/ROW]
[ROW][C]0.53[/C][C]4.62135870843264[/C][C]0.0241922240237738[/C][/ROW]
[ROW][C]0.54[/C][C]4.62536804134372[/C][C]0.0225035621151561[/C][/ROW]
[ROW][C]0.55[/C][C]4.62922886794196[/C][C]0.0216741592672762[/C][/ROW]
[ROW][C]0.56[/C][C]4.63306842856298[/C][C]0.0218220132087334[/C][/ROW]
[ROW][C]0.57[/C][C]4.63701924819709[/C][C]0.0229194521865326[/C][/ROW]
[ROW][C]0.58[/C][C]4.64120775523702[/C][C]0.0248516288257864[/C][/ROW]
[ROW][C]0.59[/C][C]4.64574374210145[/C][C]0.0274007124377118[/C][/ROW]
[ROW][C]0.6[/C][C]4.65071171235043[/C][C]0.0303330715980095[/C][/ROW]
[ROW][C]0.61[/C][C]4.65616506770483[/C][C]0.0334119954758026[/C][/ROW]
[ROW][C]0.62[/C][C]4.66212390699179[/C][C]0.0364085754298972[/C][/ROW]
[ROW][C]0.63[/C][C]4.6685769100211[/C][C]0.039124588962041[/C][/ROW]
[ROW][C]0.64[/C][C]4.67548734933581[/C][C]0.0414185050634253[/C][/ROW]
[ROW][C]0.65[/C][C]4.68280272703064[/C][C]0.0432089854128123[/C][/ROW]
[ROW][C]0.66[/C][C]4.69046692638912[/C][C]0.0445099326968505[/C][/ROW]
[ROW][C]0.67[/C][C]4.69843319285437[/C][C]0.045413778676561[/C][/ROW]
[ROW][C]0.68[/C][C]4.7066758401605[/C][C]0.046102004148338[/C][/ROW]
[ROW][C]0.69[/C][C]4.71519844947547[/C][C]0.0468105030894064[/C][/ROW]
[ROW][C]0.7[/C][C]4.72403660576246[/C][C]0.0477949275167378[/C][/ROW]
[ROW][C]0.71[/C][C]4.73325395269472[/C][C]0.049274997057726[/C][/ROW]
[ROW][C]0.72[/C][C]4.74293150802951[/C][C]0.0513608201668235[/C][/ROW]
[ROW][C]0.73[/C][C]4.7531516075753[/C][C]0.054021424243802[/C][/ROW]
[ROW][C]0.74[/C][C]4.76397925587942[/C][C]0.0570696496888923[/C][/ROW]
[ROW][C]0.75[/C][C]4.77544468266942[/C][C]0.0601977040343619[/C][/ROW]
[ROW][C]0.76[/C][C]4.78753115076718[/C][C]0.0630328434342265[/C][/ROW]
[ROW][C]0.77[/C][C]4.80017125614604[/C][C]0.0652123626094423[/C][/ROW]
[ROW][C]0.78[/C][C]4.81325307064895[/C][C]0.0664661573712201[/C][/ROW]
[ROW][C]0.79[/C][C]4.82663482006767[/C][C]0.066656671457306[/C][/ROW]
[ROW][C]0.8[/C][C]4.84016405024827[/C][C]0.0658110327135331[/C][/ROW]
[ROW][C]0.81[/C][C]4.85369534166089[/C][C]0.0641067649528596[/C][/ROW]
[ROW][C]0.82[/C][C]4.86710048644454[/C][C]0.0618085242411728[/C][/ROW]
[ROW][C]0.83[/C][C]4.88026713146087[/C][C]0.0591644603696393[/C][/ROW]
[ROW][C]0.84[/C][C]4.89308595251749[/C][C]0.0563160982119544[/C][/ROW]
[ROW][C]0.85[/C][C]4.90543130057821[/C][C]0.0532153987458353[/C][/ROW]
[ROW][C]0.86[/C][C]4.91714411828641[/C][C]0.0496627019880559[/C][/ROW]
[ROW][C]0.87[/C][C]4.92802687637927[/C][C]0.0453976396309729[/C][/ROW]
[ROW][C]0.88[/C][C]4.93785723940351[/C][C]0.0402468338792506[/C][/ROW]
[ROW][C]0.89[/C][C]4.94642060050645[/C][C]0.0342467544730669[/C][/ROW]
[ROW][C]0.9[/C][C]4.95355372799959[/C][C]0.027679064705469[/C][/ROW]
[ROW][C]0.91[/C][C]4.95918583441066[/C][C]0.0210297561724402[/C][/ROW]
[ROW][C]0.92[/C][C]4.96336239638078[/C][C]0.0148531191463753[/C][/ROW]
[ROW][C]0.93[/C][C]4.96624212196271[/C][C]0.00963336061131826[/C][/ROW]
[ROW][C]0.94[/C][C]4.96806690526847[/C][C]0.00564903757478546[/C][/ROW]
[ROW][C]0.95[/C][C]4.96911444926507[/C][C]0.002936562428706[/C][/ROW]
[ROW][C]0.96[/C][C]4.96964903450042[/C][C]0.0013153255642441[/C][/ROW]
[ROW][C]0.97[/C][C]4.96988508739572[/C][C]0.000484919797588006[/C][/ROW]
[ROW][C]0.98[/C][C]4.9699715000106[/C][C]0.000134384141851996[/C][/ROW]
[ROW][C]0.99[/C][C]4.96999573002668[/C][C]2.23920970003096e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163347&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163347&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.014.000003238465431.74132435019137e-05
0.024.000021632970560.000103247107183266
0.034.000087306640730.000369213055647038
0.044.00026695136040.00100055936962058
0.054.000674522709850.00224076006004478
0.064.001475208967090.00431588209274884
0.074.002875252079970.00739029555913099
0.084.005097541152710.0114645654453711
0.094.0083498861790.0163870112429035
0.14.012797932975510.021910039145358
0.114.018554767756260.0278060588568436
0.124.025693664047390.03401694027308
0.134.034281221225030.0407564987917786
0.144.044419182086130.0485347247449577
0.154.056278268982720.0579976547595406
0.164.070108480092390.0696885047090434
0.174.086217025613220.0837775267357858
0.184.104914989257150.0999430331606713
0.194.126443484751550.117355582655222
0.24.150896518226070.134798819322494
0.214.178159248290520.150855790316726
0.224.207876791768120.164084549096222
0.234.239461520348090.173265288776806
0.244.272138128219090.177550986637017
0.254.305017923534710.17659021403562
0.264.337188584573520.170557344659689
0.274.367803899423830.160085636348804
0.284.396159671940380.146163142101854
0.294.421746136153890.129983656718729
0.34.444272560858050.112783593544948
0.314.463664908515230.0957088417431176
0.324.480041407961620.0797282254403866
0.334.493673168050610.0655643621808121
0.344.504937465833940.0537052418066293
0.354.514270447407330.0444276601600187
0.364.522124249338930.0378231263996083
0.374.528931569457890.0337985768676282
0.384.535078948774680.0320489009313388
0.394.540888735178470.0320780524295387
0.44.546608948024610.0332965150282745
0.414.552409962728590.0351336857504822
0.424.558386918633020.0371216290078614
0.434.564566846298660.0388754778463784
0.444.570919580796170.0401046554023449
0.454.57737151355950.0406305563084113
0.464.583821142619440.0403415078152786
0.474.590155262185390.039237185368553
0.484.596264557336350.0374003345453339
0.494.602057396493090.0349877984744687
0.54.607470771313640.0322040155490873
0.514.61247761182870.0292988975539173
0.524.617090064616360.0265391111833869
0.534.621358708432640.0241922240237738
0.544.625368041343720.0225035621151561
0.554.629228867941960.0216741592672762
0.564.633068428562980.0218220132087334
0.574.637019248197090.0229194521865326
0.584.641207755237020.0248516288257864
0.594.645743742101450.0274007124377118
0.64.650711712350430.0303330715980095
0.614.656165067704830.0334119954758026
0.624.662123906991790.0364085754298972
0.634.66857691002110.039124588962041
0.644.675487349335810.0414185050634253
0.654.682802727030640.0432089854128123
0.664.690466926389120.0445099326968505
0.674.698433192854370.045413778676561
0.684.70667584016050.046102004148338
0.694.715198449475470.0468105030894064
0.74.724036605762460.0477949275167378
0.714.733253952694720.049274997057726
0.724.742931508029510.0513608201668235
0.734.75315160757530.054021424243802
0.744.763979255879420.0570696496888923
0.754.775444682669420.0601977040343619
0.764.787531150767180.0630328434342265
0.774.800171256146040.0652123626094423
0.784.813253070648950.0664661573712201
0.794.826634820067670.066656671457306
0.84.840164050248270.0658110327135331
0.814.853695341660890.0641067649528596
0.824.867100486444540.0618085242411728
0.834.880267131460870.0591644603696393
0.844.893085952517490.0563160982119544
0.854.905431300578210.0532153987458353
0.864.917144118286410.0496627019880559
0.874.928026876379270.0453976396309729
0.884.937857239403510.0402468338792506
0.894.946420600506450.0342467544730669
0.94.953553727999590.027679064705469
0.914.959185834410660.0210297561724402
0.924.963362396380780.0148531191463753
0.934.966242121962710.00963336061131826
0.944.968066905268470.00564903757478546
0.954.969114449265070.002936562428706
0.964.969649034500420.0013153255642441
0.974.969885087395720.000484919797588006
0.984.96997150001060.000134384141851996
0.994.969995730026682.23920970003096e-05



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')