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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Nov 2010 13:17:36 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/19/t1290172680h51t5a5hu1x5wm7.htm/, Retrieved Fri, 03 May 2024 20:45:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97963, Retrieved Fri, 03 May 2024 20:45:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'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 & 3 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97963&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97963&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97963&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.3627328570663700.243464973455187
0.02-0.06186606050388210.0572931112759324
0.03-0.01246417032320040.0118586139255735
0.04-0.004032289105551940.00224351632411212
0.05-0.002802633977333350.000236621187309281
0.06-0.002677754895023113.74420912170088e-05
0.07-0.002651688914340952.4038716630492e-05
0.08-0.002635756253691141.71603785000593e-05
0.09-0.002626062568825089.61400290600066e-06
0.1-0.002619345784954951.36242403785625e-05
0.11-0.002603012194764815.52239090497369e-05
0.12-0.002545636993904770.000180851818446319
0.13-0.002391118091369470.000429379568566418
0.14-0.002083355292272670.000751596871616968
0.15-0.001622562542767920.000989065026422125
0.16-0.001095230107826670.000995294689349893
0.17-0.0006271815612268320.000777264361265529
0.18-0.0003008510438195160.000477140362809457
0.19-0.0001201212243981720.000232832159238136
0.2-3.98313900026006e-059.1202551262447e-05
0.21-1.09717543159890e-052.89240155674752e-05
0.22-2.51474839088013e-067.48279615563569e-06
0.23-4.80763245494174e-071.58963930345135e-06
0.24-7.68760927361042e-082.78935721541609e-07
0.25-1.03117946826329e-084.0638552991147e-08
0.26-1.16365761920923e-094.93873105623186e-09
0.27-1.10814934388016e-105.02743039489053e-10
0.28-8.9599089394061e-124.30292977725473e-11
0.29-6.48338940438104e-133.10710131115981e-12
0.3-7.44535590544165e-141.89878823162418e-13
0.31-4.08275226682819e-149.8533964006661e-15
0.32-3.91432148352916e-144.56468974488393e-16
0.33-3.90419799708526e-141.43560775832722e-16
0.34-3.89456545009333e-143.94693783988533e-16
0.35-3.86940778158524e-149.93345587419246e-16
0.36-3.8113009784904e-142.15309187594407e-15
0.37-3.69520327381068e-144.03544734082686e-15
0.38-3.49352464705187e-146.58006259471641e-15
0.39-3.18670276910867e-149.4144324283488e-15
0.4-2.77373963533749e-141.19640360543033e-14
0.41-2.27494881775028e-141.37395111906897e-14
0.42-1.72378986748194e-141.45901650602046e-14
0.43-1.15314838249064e-141.47176651497933e-14
0.44-5.85511415951609e-151.44568404611176e-14
0.45-3.25215000622548e-161.40195580105849e-14
0.464.98013430440707e-151.33789102849989e-14
0.479.94159033189429e-151.23390583771706e-14
0.481.43721372190102e-141.07326635549599e-14
0.491.80665279804835e-148.61165018747848e-15
0.52.08930188210681e-146.28214167219965e-15
0.512.28597114930916e-144.15029972941603e-15
0.522.41084804539368e-142.51093021514411e-15
0.532.48484237518266e-141.44309925646096e-15
0.542.52822568175962e-148.61113108744457e-16
0.552.55702828007845e-146.4484835653282e-16
0.562.58373051066352e-147.37233144016236e-16
0.572.61966702414571e-141.13105959277603e-15
0.582.67599759335341e-141.79989088449330e-15
0.592.76158234949085e-142.62940121785821e-15
0.62.87861133998141e-143.39018708198956e-15
0.613.01917177330642e-143.8099442403511e-15
0.623.16640843816522e-143.72187767125343e-15
0.633.30476801282476e-143.33944692076538e-15
0.643.50617335664635e-147.64662400574075e-15
0.655.22026127413672e-149.9095576871099e-14
0.662.93455961759304e-131.38149261577798e-12
0.673.32893591255433e-121.66639159096050e-11
0.683.61652843896741e-111.72203034067768e-10
0.693.40612193050960e-101.52144446931176e-09
0.72.75600191332195e-091.14726791995564e-08
0.711.91282100587530e-087.3709852263742e-08
0.721.13801234425604e-074.02838097801246e-07
0.735.8018667643872e-071.86992699020557e-06
0.742.53508368626993e-067.36250450341027e-06
0.759.49946969416622e-062.45593966335700e-05
0.763.05650723403317e-056.93299938176945e-05
0.778.46043856134024e-050.00016542482141473
0.780.0002019951036288830.000333039344582020
0.790.0004174356218283160.000564138083237661
0.80.0007502325226595380.0008003982022295
0.810.001180522913651940.000944726494086596
0.820.001642558033387110.000918960512727712
0.830.002050407890477350.00072787404241802
0.840.002342727894682600.00046273108080662
0.850.002510449849873090.000232325594308419
0.860.002586434724110879.08412568023605e-05
0.870.002613889556624912.86486252529092e-05
0.880.002623958648556871.22562847428713e-05
0.890.002632365487569491.55336198398320e-05
0.90.002644704641635722.22423075774011e-05
0.910.002661672474455942.73509621103074e-05
0.920.002686141460019703.93560232286493e-05
0.930.002746315457451360.000112004253644826
0.940.003006250592110350.000496251858983869
0.950.004176668812221610.00200437973994722
0.960.00849622633551690.00616258597743583
0.970.02429662277947110.0199754501228690
0.980.0964701404446450.0800533356746637
0.990.3438997071308030.158948900120814

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.362732857066370 & 0.243464973455187 \tabularnewline
0.02 & -0.0618660605038821 & 0.0572931112759324 \tabularnewline
0.03 & -0.0124641703232004 & 0.0118586139255735 \tabularnewline
0.04 & -0.00403228910555194 & 0.00224351632411212 \tabularnewline
0.05 & -0.00280263397733335 & 0.000236621187309281 \tabularnewline
0.06 & -0.00267775489502311 & 3.74420912170088e-05 \tabularnewline
0.07 & -0.00265168891434095 & 2.4038716630492e-05 \tabularnewline
0.08 & -0.00263575625369114 & 1.71603785000593e-05 \tabularnewline
0.09 & -0.00262606256882508 & 9.61400290600066e-06 \tabularnewline
0.1 & -0.00261934578495495 & 1.36242403785625e-05 \tabularnewline
0.11 & -0.00260301219476481 & 5.52239090497369e-05 \tabularnewline
0.12 & -0.00254563699390477 & 0.000180851818446319 \tabularnewline
0.13 & -0.00239111809136947 & 0.000429379568566418 \tabularnewline
0.14 & -0.00208335529227267 & 0.000751596871616968 \tabularnewline
0.15 & -0.00162256254276792 & 0.000989065026422125 \tabularnewline
0.16 & -0.00109523010782667 & 0.000995294689349893 \tabularnewline
0.17 & -0.000627181561226832 & 0.000777264361265529 \tabularnewline
0.18 & -0.000300851043819516 & 0.000477140362809457 \tabularnewline
0.19 & -0.000120121224398172 & 0.000232832159238136 \tabularnewline
0.2 & -3.98313900026006e-05 & 9.1202551262447e-05 \tabularnewline
0.21 & -1.09717543159890e-05 & 2.89240155674752e-05 \tabularnewline
0.22 & -2.51474839088013e-06 & 7.48279615563569e-06 \tabularnewline
0.23 & -4.80763245494174e-07 & 1.58963930345135e-06 \tabularnewline
0.24 & -7.68760927361042e-08 & 2.78935721541609e-07 \tabularnewline
0.25 & -1.03117946826329e-08 & 4.0638552991147e-08 \tabularnewline
0.26 & -1.16365761920923e-09 & 4.93873105623186e-09 \tabularnewline
0.27 & -1.10814934388016e-10 & 5.02743039489053e-10 \tabularnewline
0.28 & -8.9599089394061e-12 & 4.30292977725473e-11 \tabularnewline
0.29 & -6.48338940438104e-13 & 3.10710131115981e-12 \tabularnewline
0.3 & -7.44535590544165e-14 & 1.89878823162418e-13 \tabularnewline
0.31 & -4.08275226682819e-14 & 9.8533964006661e-15 \tabularnewline
0.32 & -3.91432148352916e-14 & 4.56468974488393e-16 \tabularnewline
0.33 & -3.90419799708526e-14 & 1.43560775832722e-16 \tabularnewline
0.34 & -3.89456545009333e-14 & 3.94693783988533e-16 \tabularnewline
0.35 & -3.86940778158524e-14 & 9.93345587419246e-16 \tabularnewline
0.36 & -3.8113009784904e-14 & 2.15309187594407e-15 \tabularnewline
0.37 & -3.69520327381068e-14 & 4.03544734082686e-15 \tabularnewline
0.38 & -3.49352464705187e-14 & 6.58006259471641e-15 \tabularnewline
0.39 & -3.18670276910867e-14 & 9.4144324283488e-15 \tabularnewline
0.4 & -2.77373963533749e-14 & 1.19640360543033e-14 \tabularnewline
0.41 & -2.27494881775028e-14 & 1.37395111906897e-14 \tabularnewline
0.42 & -1.72378986748194e-14 & 1.45901650602046e-14 \tabularnewline
0.43 & -1.15314838249064e-14 & 1.47176651497933e-14 \tabularnewline
0.44 & -5.85511415951609e-15 & 1.44568404611176e-14 \tabularnewline
0.45 & -3.25215000622548e-16 & 1.40195580105849e-14 \tabularnewline
0.46 & 4.98013430440707e-15 & 1.33789102849989e-14 \tabularnewline
0.47 & 9.94159033189429e-15 & 1.23390583771706e-14 \tabularnewline
0.48 & 1.43721372190102e-14 & 1.07326635549599e-14 \tabularnewline
0.49 & 1.80665279804835e-14 & 8.61165018747848e-15 \tabularnewline
0.5 & 2.08930188210681e-14 & 6.28214167219965e-15 \tabularnewline
0.51 & 2.28597114930916e-14 & 4.15029972941603e-15 \tabularnewline
0.52 & 2.41084804539368e-14 & 2.51093021514411e-15 \tabularnewline
0.53 & 2.48484237518266e-14 & 1.44309925646096e-15 \tabularnewline
0.54 & 2.52822568175962e-14 & 8.61113108744457e-16 \tabularnewline
0.55 & 2.55702828007845e-14 & 6.4484835653282e-16 \tabularnewline
0.56 & 2.58373051066352e-14 & 7.37233144016236e-16 \tabularnewline
0.57 & 2.61966702414571e-14 & 1.13105959277603e-15 \tabularnewline
0.58 & 2.67599759335341e-14 & 1.79989088449330e-15 \tabularnewline
0.59 & 2.76158234949085e-14 & 2.62940121785821e-15 \tabularnewline
0.6 & 2.87861133998141e-14 & 3.39018708198956e-15 \tabularnewline
0.61 & 3.01917177330642e-14 & 3.8099442403511e-15 \tabularnewline
0.62 & 3.16640843816522e-14 & 3.72187767125343e-15 \tabularnewline
0.63 & 3.30476801282476e-14 & 3.33944692076538e-15 \tabularnewline
0.64 & 3.50617335664635e-14 & 7.64662400574075e-15 \tabularnewline
0.65 & 5.22026127413672e-14 & 9.9095576871099e-14 \tabularnewline
0.66 & 2.93455961759304e-13 & 1.38149261577798e-12 \tabularnewline
0.67 & 3.32893591255433e-12 & 1.66639159096050e-11 \tabularnewline
0.68 & 3.61652843896741e-11 & 1.72203034067768e-10 \tabularnewline
0.69 & 3.40612193050960e-10 & 1.52144446931176e-09 \tabularnewline
0.7 & 2.75600191332195e-09 & 1.14726791995564e-08 \tabularnewline
0.71 & 1.91282100587530e-08 & 7.3709852263742e-08 \tabularnewline
0.72 & 1.13801234425604e-07 & 4.02838097801246e-07 \tabularnewline
0.73 & 5.8018667643872e-07 & 1.86992699020557e-06 \tabularnewline
0.74 & 2.53508368626993e-06 & 7.36250450341027e-06 \tabularnewline
0.75 & 9.49946969416622e-06 & 2.45593966335700e-05 \tabularnewline
0.76 & 3.05650723403317e-05 & 6.93299938176945e-05 \tabularnewline
0.77 & 8.46043856134024e-05 & 0.00016542482141473 \tabularnewline
0.78 & 0.000201995103628883 & 0.000333039344582020 \tabularnewline
0.79 & 0.000417435621828316 & 0.000564138083237661 \tabularnewline
0.8 & 0.000750232522659538 & 0.0008003982022295 \tabularnewline
0.81 & 0.00118052291365194 & 0.000944726494086596 \tabularnewline
0.82 & 0.00164255803338711 & 0.000918960512727712 \tabularnewline
0.83 & 0.00205040789047735 & 0.00072787404241802 \tabularnewline
0.84 & 0.00234272789468260 & 0.00046273108080662 \tabularnewline
0.85 & 0.00251044984987309 & 0.000232325594308419 \tabularnewline
0.86 & 0.00258643472411087 & 9.08412568023605e-05 \tabularnewline
0.87 & 0.00261388955662491 & 2.86486252529092e-05 \tabularnewline
0.88 & 0.00262395864855687 & 1.22562847428713e-05 \tabularnewline
0.89 & 0.00263236548756949 & 1.55336198398320e-05 \tabularnewline
0.9 & 0.00264470464163572 & 2.22423075774011e-05 \tabularnewline
0.91 & 0.00266167247445594 & 2.73509621103074e-05 \tabularnewline
0.92 & 0.00268614146001970 & 3.93560232286493e-05 \tabularnewline
0.93 & 0.00274631545745136 & 0.000112004253644826 \tabularnewline
0.94 & 0.00300625059211035 & 0.000496251858983869 \tabularnewline
0.95 & 0.00417666881222161 & 0.00200437973994722 \tabularnewline
0.96 & 0.0084962263355169 & 0.00616258597743583 \tabularnewline
0.97 & 0.0242966227794711 & 0.0199754501228690 \tabularnewline
0.98 & 0.096470140444645 & 0.0800533356746637 \tabularnewline
0.99 & 0.343899707130803 & 0.158948900120814 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97963&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]-0.362732857066370[/C][C]0.243464973455187[/C][/ROW]
[ROW][C]0.02[/C][C]-0.0618660605038821[/C][C]0.0572931112759324[/C][/ROW]
[ROW][C]0.03[/C][C]-0.0124641703232004[/C][C]0.0118586139255735[/C][/ROW]
[ROW][C]0.04[/C][C]-0.00403228910555194[/C][C]0.00224351632411212[/C][/ROW]
[ROW][C]0.05[/C][C]-0.00280263397733335[/C][C]0.000236621187309281[/C][/ROW]
[ROW][C]0.06[/C][C]-0.00267775489502311[/C][C]3.74420912170088e-05[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00265168891434095[/C][C]2.4038716630492e-05[/C][/ROW]
[ROW][C]0.08[/C][C]-0.00263575625369114[/C][C]1.71603785000593e-05[/C][/ROW]
[ROW][C]0.09[/C][C]-0.00262606256882508[/C][C]9.61400290600066e-06[/C][/ROW]
[ROW][C]0.1[/C][C]-0.00261934578495495[/C][C]1.36242403785625e-05[/C][/ROW]
[ROW][C]0.11[/C][C]-0.00260301219476481[/C][C]5.52239090497369e-05[/C][/ROW]
[ROW][C]0.12[/C][C]-0.00254563699390477[/C][C]0.000180851818446319[/C][/ROW]
[ROW][C]0.13[/C][C]-0.00239111809136947[/C][C]0.000429379568566418[/C][/ROW]
[ROW][C]0.14[/C][C]-0.00208335529227267[/C][C]0.000751596871616968[/C][/ROW]
[ROW][C]0.15[/C][C]-0.00162256254276792[/C][C]0.000989065026422125[/C][/ROW]
[ROW][C]0.16[/C][C]-0.00109523010782667[/C][C]0.000995294689349893[/C][/ROW]
[ROW][C]0.17[/C][C]-0.000627181561226832[/C][C]0.000777264361265529[/C][/ROW]
[ROW][C]0.18[/C][C]-0.000300851043819516[/C][C]0.000477140362809457[/C][/ROW]
[ROW][C]0.19[/C][C]-0.000120121224398172[/C][C]0.000232832159238136[/C][/ROW]
[ROW][C]0.2[/C][C]-3.98313900026006e-05[/C][C]9.1202551262447e-05[/C][/ROW]
[ROW][C]0.21[/C][C]-1.09717543159890e-05[/C][C]2.89240155674752e-05[/C][/ROW]
[ROW][C]0.22[/C][C]-2.51474839088013e-06[/C][C]7.48279615563569e-06[/C][/ROW]
[ROW][C]0.23[/C][C]-4.80763245494174e-07[/C][C]1.58963930345135e-06[/C][/ROW]
[ROW][C]0.24[/C][C]-7.68760927361042e-08[/C][C]2.78935721541609e-07[/C][/ROW]
[ROW][C]0.25[/C][C]-1.03117946826329e-08[/C][C]4.0638552991147e-08[/C][/ROW]
[ROW][C]0.26[/C][C]-1.16365761920923e-09[/C][C]4.93873105623186e-09[/C][/ROW]
[ROW][C]0.27[/C][C]-1.10814934388016e-10[/C][C]5.02743039489053e-10[/C][/ROW]
[ROW][C]0.28[/C][C]-8.9599089394061e-12[/C][C]4.30292977725473e-11[/C][/ROW]
[ROW][C]0.29[/C][C]-6.48338940438104e-13[/C][C]3.10710131115981e-12[/C][/ROW]
[ROW][C]0.3[/C][C]-7.44535590544165e-14[/C][C]1.89878823162418e-13[/C][/ROW]
[ROW][C]0.31[/C][C]-4.08275226682819e-14[/C][C]9.8533964006661e-15[/C][/ROW]
[ROW][C]0.32[/C][C]-3.91432148352916e-14[/C][C]4.56468974488393e-16[/C][/ROW]
[ROW][C]0.33[/C][C]-3.90419799708526e-14[/C][C]1.43560775832722e-16[/C][/ROW]
[ROW][C]0.34[/C][C]-3.89456545009333e-14[/C][C]3.94693783988533e-16[/C][/ROW]
[ROW][C]0.35[/C][C]-3.86940778158524e-14[/C][C]9.93345587419246e-16[/C][/ROW]
[ROW][C]0.36[/C][C]-3.8113009784904e-14[/C][C]2.15309187594407e-15[/C][/ROW]
[ROW][C]0.37[/C][C]-3.69520327381068e-14[/C][C]4.03544734082686e-15[/C][/ROW]
[ROW][C]0.38[/C][C]-3.49352464705187e-14[/C][C]6.58006259471641e-15[/C][/ROW]
[ROW][C]0.39[/C][C]-3.18670276910867e-14[/C][C]9.4144324283488e-15[/C][/ROW]
[ROW][C]0.4[/C][C]-2.77373963533749e-14[/C][C]1.19640360543033e-14[/C][/ROW]
[ROW][C]0.41[/C][C]-2.27494881775028e-14[/C][C]1.37395111906897e-14[/C][/ROW]
[ROW][C]0.42[/C][C]-1.72378986748194e-14[/C][C]1.45901650602046e-14[/C][/ROW]
[ROW][C]0.43[/C][C]-1.15314838249064e-14[/C][C]1.47176651497933e-14[/C][/ROW]
[ROW][C]0.44[/C][C]-5.85511415951609e-15[/C][C]1.44568404611176e-14[/C][/ROW]
[ROW][C]0.45[/C][C]-3.25215000622548e-16[/C][C]1.40195580105849e-14[/C][/ROW]
[ROW][C]0.46[/C][C]4.98013430440707e-15[/C][C]1.33789102849989e-14[/C][/ROW]
[ROW][C]0.47[/C][C]9.94159033189429e-15[/C][C]1.23390583771706e-14[/C][/ROW]
[ROW][C]0.48[/C][C]1.43721372190102e-14[/C][C]1.07326635549599e-14[/C][/ROW]
[ROW][C]0.49[/C][C]1.80665279804835e-14[/C][C]8.61165018747848e-15[/C][/ROW]
[ROW][C]0.5[/C][C]2.08930188210681e-14[/C][C]6.28214167219965e-15[/C][/ROW]
[ROW][C]0.51[/C][C]2.28597114930916e-14[/C][C]4.15029972941603e-15[/C][/ROW]
[ROW][C]0.52[/C][C]2.41084804539368e-14[/C][C]2.51093021514411e-15[/C][/ROW]
[ROW][C]0.53[/C][C]2.48484237518266e-14[/C][C]1.44309925646096e-15[/C][/ROW]
[ROW][C]0.54[/C][C]2.52822568175962e-14[/C][C]8.61113108744457e-16[/C][/ROW]
[ROW][C]0.55[/C][C]2.55702828007845e-14[/C][C]6.4484835653282e-16[/C][/ROW]
[ROW][C]0.56[/C][C]2.58373051066352e-14[/C][C]7.37233144016236e-16[/C][/ROW]
[ROW][C]0.57[/C][C]2.61966702414571e-14[/C][C]1.13105959277603e-15[/C][/ROW]
[ROW][C]0.58[/C][C]2.67599759335341e-14[/C][C]1.79989088449330e-15[/C][/ROW]
[ROW][C]0.59[/C][C]2.76158234949085e-14[/C][C]2.62940121785821e-15[/C][/ROW]
[ROW][C]0.6[/C][C]2.87861133998141e-14[/C][C]3.39018708198956e-15[/C][/ROW]
[ROW][C]0.61[/C][C]3.01917177330642e-14[/C][C]3.8099442403511e-15[/C][/ROW]
[ROW][C]0.62[/C][C]3.16640843816522e-14[/C][C]3.72187767125343e-15[/C][/ROW]
[ROW][C]0.63[/C][C]3.30476801282476e-14[/C][C]3.33944692076538e-15[/C][/ROW]
[ROW][C]0.64[/C][C]3.50617335664635e-14[/C][C]7.64662400574075e-15[/C][/ROW]
[ROW][C]0.65[/C][C]5.22026127413672e-14[/C][C]9.9095576871099e-14[/C][/ROW]
[ROW][C]0.66[/C][C]2.93455961759304e-13[/C][C]1.38149261577798e-12[/C][/ROW]
[ROW][C]0.67[/C][C]3.32893591255433e-12[/C][C]1.66639159096050e-11[/C][/ROW]
[ROW][C]0.68[/C][C]3.61652843896741e-11[/C][C]1.72203034067768e-10[/C][/ROW]
[ROW][C]0.69[/C][C]3.40612193050960e-10[/C][C]1.52144446931176e-09[/C][/ROW]
[ROW][C]0.7[/C][C]2.75600191332195e-09[/C][C]1.14726791995564e-08[/C][/ROW]
[ROW][C]0.71[/C][C]1.91282100587530e-08[/C][C]7.3709852263742e-08[/C][/ROW]
[ROW][C]0.72[/C][C]1.13801234425604e-07[/C][C]4.02838097801246e-07[/C][/ROW]
[ROW][C]0.73[/C][C]5.8018667643872e-07[/C][C]1.86992699020557e-06[/C][/ROW]
[ROW][C]0.74[/C][C]2.53508368626993e-06[/C][C]7.36250450341027e-06[/C][/ROW]
[ROW][C]0.75[/C][C]9.49946969416622e-06[/C][C]2.45593966335700e-05[/C][/ROW]
[ROW][C]0.76[/C][C]3.05650723403317e-05[/C][C]6.93299938176945e-05[/C][/ROW]
[ROW][C]0.77[/C][C]8.46043856134024e-05[/C][C]0.00016542482141473[/C][/ROW]
[ROW][C]0.78[/C][C]0.000201995103628883[/C][C]0.000333039344582020[/C][/ROW]
[ROW][C]0.79[/C][C]0.000417435621828316[/C][C]0.000564138083237661[/C][/ROW]
[ROW][C]0.8[/C][C]0.000750232522659538[/C][C]0.0008003982022295[/C][/ROW]
[ROW][C]0.81[/C][C]0.00118052291365194[/C][C]0.000944726494086596[/C][/ROW]
[ROW][C]0.82[/C][C]0.00164255803338711[/C][C]0.000918960512727712[/C][/ROW]
[ROW][C]0.83[/C][C]0.00205040789047735[/C][C]0.00072787404241802[/C][/ROW]
[ROW][C]0.84[/C][C]0.00234272789468260[/C][C]0.00046273108080662[/C][/ROW]
[ROW][C]0.85[/C][C]0.00251044984987309[/C][C]0.000232325594308419[/C][/ROW]
[ROW][C]0.86[/C][C]0.00258643472411087[/C][C]9.08412568023605e-05[/C][/ROW]
[ROW][C]0.87[/C][C]0.00261388955662491[/C][C]2.86486252529092e-05[/C][/ROW]
[ROW][C]0.88[/C][C]0.00262395864855687[/C][C]1.22562847428713e-05[/C][/ROW]
[ROW][C]0.89[/C][C]0.00263236548756949[/C][C]1.55336198398320e-05[/C][/ROW]
[ROW][C]0.9[/C][C]0.00264470464163572[/C][C]2.22423075774011e-05[/C][/ROW]
[ROW][C]0.91[/C][C]0.00266167247445594[/C][C]2.73509621103074e-05[/C][/ROW]
[ROW][C]0.92[/C][C]0.00268614146001970[/C][C]3.93560232286493e-05[/C][/ROW]
[ROW][C]0.93[/C][C]0.00274631545745136[/C][C]0.000112004253644826[/C][/ROW]
[ROW][C]0.94[/C][C]0.00300625059211035[/C][C]0.000496251858983869[/C][/ROW]
[ROW][C]0.95[/C][C]0.00417666881222161[/C][C]0.00200437973994722[/C][/ROW]
[ROW][C]0.96[/C][C]0.0084962263355169[/C][C]0.00616258597743583[/C][/ROW]
[ROW][C]0.97[/C][C]0.0242966227794711[/C][C]0.0199754501228690[/C][/ROW]
[ROW][C]0.98[/C][C]0.096470140444645[/C][C]0.0800533356746637[/C][/ROW]
[ROW][C]0.99[/C][C]0.343899707130803[/C][C]0.158948900120814[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97963&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97963&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
0.01-0.3627328570663700.243464973455187
0.02-0.06186606050388210.0572931112759324
0.03-0.01246417032320040.0118586139255735
0.04-0.004032289105551940.00224351632411212
0.05-0.002802633977333350.000236621187309281
0.06-0.002677754895023113.74420912170088e-05
0.07-0.002651688914340952.4038716630492e-05
0.08-0.002635756253691141.71603785000593e-05
0.09-0.002626062568825089.61400290600066e-06
0.1-0.002619345784954951.36242403785625e-05
0.11-0.002603012194764815.52239090497369e-05
0.12-0.002545636993904770.000180851818446319
0.13-0.002391118091369470.000429379568566418
0.14-0.002083355292272670.000751596871616968
0.15-0.001622562542767920.000989065026422125
0.16-0.001095230107826670.000995294689349893
0.17-0.0006271815612268320.000777264361265529
0.18-0.0003008510438195160.000477140362809457
0.19-0.0001201212243981720.000232832159238136
0.2-3.98313900026006e-059.1202551262447e-05
0.21-1.09717543159890e-052.89240155674752e-05
0.22-2.51474839088013e-067.48279615563569e-06
0.23-4.80763245494174e-071.58963930345135e-06
0.24-7.68760927361042e-082.78935721541609e-07
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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')