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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationTue, 01 Mar 2016 07:56:47 +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/2016/Mar/01/t1456819099ja67cc3ltt1f6mu.htm/, Retrieved Thu, 23 Apr 2026 21:51:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=293096, Retrieved Thu, 23 Apr 2026 21:51:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact350

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] [] [2016-02-25 14:12:00] [0fac179d48b12d87f452d447736804ac]
- R P     [Harrell-Davis Quantiles] [] [2016-03-01 07:56:47] [c1931050b1d666e3090788e81f04199e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4736
4840
4413
4571
4106
4801
3956
3829
4453
4027
4121
4798
3233
3554
3952
3951
3685
4312
3867
4140
4114
3818
3377
3453
3502
4017
5410
5184
5529
6434
4962
2980
2937
3023
2731
3163
3146
3173
3724
3224
4114
3450
2957
3882
4284
4181
3760
4457
4167
3962
5247
5157
3697
3514
3786
3297
3571
3871
3492
3051
3735
3645
4852
4232
3804
4464
4259
3373
4134
4488
3333
4772
4929
5555
7183
9266
4003
3051
3507
3273
3942
3216
3232
3593

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293096&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293096&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293096&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012796.41616162289149.817137401742
0.022876.4101733330190.4393532770017
0.032936.6027574515958.9294543520618
0.042976.916671355853.2828509516862
0.053007.4656402816157.6485093608542
0.063034.9578953629563.6468312943256
0.073061.8363407170168.651568207032
0.083088.4150997617971.540063470166
0.093114.285332273571.8802183372442
0.13138.9339786583270.0690955110778
0.113162.023656832867.2138755843957
0.123183.5173944819164.6817522482715
0.133203.6831949078863.6334099432647
0.143223.0047460660864.6915195602577
0.153242.0458428586467.8289140424479
0.163261.3181380782172.5094536378137
0.173281.1857372949877.9249973746961
0.183301.8199223590883.2568548312707
0.193323.2016534414387.8077946605542
0.23345.1603685187991.1258064088257
0.213367.4338362036793.0247842006553
0.223389.7338444428593.5738277447397
0.233411.8049728197193.0692151678708
0.243433.4674628056491.9488078358091
0.253454.6393847669690.7246668864381
0.263475.3373361106289.8462811463275
0.273495.6584599571389.6637657619331
0.283515.7493726801290.3246859971523
0.293535.7693108582591.7587624503071
0.33555.8551563524793.7108299146815
0.313576.0948735274195.8395143455476
0.323596.5135328667497.7666843116781
0.333617.0730691917599.1780703565866
0.343637.683972661399.8693460393246
0.353658.2249198579699.7595243987789
0.363678.56534188798.8842824622078
0.373698.5861605502897.3952289882651
0.383718.1951415478595.4876496704885
0.393737.3350580975993.3645456945052
0.43755.9846382343591.2307521223629
0.413774.1536948891589.2242141081522
0.423791.8746925647287.4248003823456
0.433809.1932440616985.8729201111129
0.443826.1597376730884.543156328675
0.453842.823618372883.4131838470966
0.463859.2309564132582.436617723386
0.473875.4250068730181.6031247476815
0.483891.4486676592780.9188710508968
0.493907.3472489594680.4169449962759
0.53923.169910680680.1487882220685
0.513938.9685666330280.1387189132516
0.523954.7939333724380.4055776183235
0.533970.6895133193380.8807893375742
0.543986.6853279118881.4784104862541
0.554002.7938075805782.0564048295048
0.564019.0101349924882.4870350259048
0.574035.3184499244782.6926288991791
0.584051.703826184882.6741886474508
0.594068.1682089273982.5558763208784
0.64084.7470519599182.562370294175
0.614101.5226760693583.0068042661197
0.624118.630651973384.2145428281249
0.634136.2567944385386.4703066802232
0.644154.6243661194489.9483229699801
0.654173.9733695127394.656765867048
0.664194.53582202611100.43530038264
0.674216.51217280806106.995651145907
0.684240.05415575427113.975119946472
0.694265.25816609997121.024165123038
0.74292.17070066256127.871699123089
0.714320.80383631086134.349517720611
0.724351.15490274487140.462076327479
0.734383.221678063146.301778084162
0.744417.00411350973151.999155051423
0.754452.48701223322157.562477647368
0.764489.60540063515162.752869485751
0.774528.20391271313167.057213441534
0.784568.00985584332169.78669278511
0.794608.64228044668170.291689152543
0.84649.6727970547168.250919329717
0.814690.73763872805163.95918508265
0.824731.67862181011158.443278165269
0.834772.67138554658153.396136343365
0.844814.29234386495150.761520443949
0.854857.48847204669152.137102522285
0.864903.44726127486158.081350031043
0.874953.41067992386167.857369073261
0.885008.52469017556179.842229165241
0.895069.85689751839192.415873240471
0.95138.75398114209205.076750210359
0.915217.75330713913219.739034737769
0.925312.2668442543242.62478071131
0.935433.09284335091286.432207283986
0.945599.44626031413368.853643796332
0.955842.19078780284502.341188623644
0.966207.98899784064684.129670455386
0.976762.27565150035910.171940488249
0.987563.110448108411220.54083247725
0.998532.626082730091663.37512703909

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2796.41616162289 & 149.817137401742 \tabularnewline
0.02 & 2876.41017333301 & 90.4393532770017 \tabularnewline
0.03 & 2936.60275745159 & 58.9294543520618 \tabularnewline
0.04 & 2976.9166713558 & 53.2828509516862 \tabularnewline
0.05 & 3007.46564028161 & 57.6485093608542 \tabularnewline
0.06 & 3034.95789536295 & 63.6468312943256 \tabularnewline
0.07 & 3061.83634071701 & 68.651568207032 \tabularnewline
0.08 & 3088.41509976179 & 71.540063470166 \tabularnewline
0.09 & 3114.2853322735 & 71.8802183372442 \tabularnewline
0.1 & 3138.93397865832 & 70.0690955110778 \tabularnewline
0.11 & 3162.0236568328 & 67.2138755843957 \tabularnewline
0.12 & 3183.51739448191 & 64.6817522482715 \tabularnewline
0.13 & 3203.68319490788 & 63.6334099432647 \tabularnewline
0.14 & 3223.00474606608 & 64.6915195602577 \tabularnewline
0.15 & 3242.04584285864 & 67.8289140424479 \tabularnewline
0.16 & 3261.31813807821 & 72.5094536378137 \tabularnewline
0.17 & 3281.18573729498 & 77.9249973746961 \tabularnewline
0.18 & 3301.81992235908 & 83.2568548312707 \tabularnewline
0.19 & 3323.20165344143 & 87.8077946605542 \tabularnewline
0.2 & 3345.16036851879 & 91.1258064088257 \tabularnewline
0.21 & 3367.43383620367 & 93.0247842006553 \tabularnewline
0.22 & 3389.73384444285 & 93.5738277447397 \tabularnewline
0.23 & 3411.80497281971 & 93.0692151678708 \tabularnewline
0.24 & 3433.46746280564 & 91.9488078358091 \tabularnewline
0.25 & 3454.63938476696 & 90.7246668864381 \tabularnewline
0.26 & 3475.33733611062 & 89.8462811463275 \tabularnewline
0.27 & 3495.65845995713 & 89.6637657619331 \tabularnewline
0.28 & 3515.74937268012 & 90.3246859971523 \tabularnewline
0.29 & 3535.76931085825 & 91.7587624503071 \tabularnewline
0.3 & 3555.85515635247 & 93.7108299146815 \tabularnewline
0.31 & 3576.09487352741 & 95.8395143455476 \tabularnewline
0.32 & 3596.51353286674 & 97.7666843116781 \tabularnewline
0.33 & 3617.07306919175 & 99.1780703565866 \tabularnewline
0.34 & 3637.6839726613 & 99.8693460393246 \tabularnewline
0.35 & 3658.22491985796 & 99.7595243987789 \tabularnewline
0.36 & 3678.565341887 & 98.8842824622078 \tabularnewline
0.37 & 3698.58616055028 & 97.3952289882651 \tabularnewline
0.38 & 3718.19514154785 & 95.4876496704885 \tabularnewline
0.39 & 3737.33505809759 & 93.3645456945052 \tabularnewline
0.4 & 3755.98463823435 & 91.2307521223629 \tabularnewline
0.41 & 3774.15369488915 & 89.2242141081522 \tabularnewline
0.42 & 3791.87469256472 & 87.4248003823456 \tabularnewline
0.43 & 3809.19324406169 & 85.8729201111129 \tabularnewline
0.44 & 3826.15973767308 & 84.543156328675 \tabularnewline
0.45 & 3842.8236183728 & 83.4131838470966 \tabularnewline
0.46 & 3859.23095641325 & 82.436617723386 \tabularnewline
0.47 & 3875.42500687301 & 81.6031247476815 \tabularnewline
0.48 & 3891.44866765927 & 80.9188710508968 \tabularnewline
0.49 & 3907.34724895946 & 80.4169449962759 \tabularnewline
0.5 & 3923.1699106806 & 80.1487882220685 \tabularnewline
0.51 & 3938.96856663302 & 80.1387189132516 \tabularnewline
0.52 & 3954.79393337243 & 80.4055776183235 \tabularnewline
0.53 & 3970.68951331933 & 80.8807893375742 \tabularnewline
0.54 & 3986.68532791188 & 81.4784104862541 \tabularnewline
0.55 & 4002.79380758057 & 82.0564048295048 \tabularnewline
0.56 & 4019.01013499248 & 82.4870350259048 \tabularnewline
0.57 & 4035.31844992447 & 82.6926288991791 \tabularnewline
0.58 & 4051.7038261848 & 82.6741886474508 \tabularnewline
0.59 & 4068.16820892739 & 82.5558763208784 \tabularnewline
0.6 & 4084.74705195991 & 82.562370294175 \tabularnewline
0.61 & 4101.52267606935 & 83.0068042661197 \tabularnewline
0.62 & 4118.6306519733 & 84.2145428281249 \tabularnewline
0.63 & 4136.25679443853 & 86.4703066802232 \tabularnewline
0.64 & 4154.62436611944 & 89.9483229699801 \tabularnewline
0.65 & 4173.97336951273 & 94.656765867048 \tabularnewline
0.66 & 4194.53582202611 & 100.43530038264 \tabularnewline
0.67 & 4216.51217280806 & 106.995651145907 \tabularnewline
0.68 & 4240.05415575427 & 113.975119946472 \tabularnewline
0.69 & 4265.25816609997 & 121.024165123038 \tabularnewline
0.7 & 4292.17070066256 & 127.871699123089 \tabularnewline
0.71 & 4320.80383631086 & 134.349517720611 \tabularnewline
0.72 & 4351.15490274487 & 140.462076327479 \tabularnewline
0.73 & 4383.221678063 & 146.301778084162 \tabularnewline
0.74 & 4417.00411350973 & 151.999155051423 \tabularnewline
0.75 & 4452.48701223322 & 157.562477647368 \tabularnewline
0.76 & 4489.60540063515 & 162.752869485751 \tabularnewline
0.77 & 4528.20391271313 & 167.057213441534 \tabularnewline
0.78 & 4568.00985584332 & 169.78669278511 \tabularnewline
0.79 & 4608.64228044668 & 170.291689152543 \tabularnewline
0.8 & 4649.6727970547 & 168.250919329717 \tabularnewline
0.81 & 4690.73763872805 & 163.95918508265 \tabularnewline
0.82 & 4731.67862181011 & 158.443278165269 \tabularnewline
0.83 & 4772.67138554658 & 153.396136343365 \tabularnewline
0.84 & 4814.29234386495 & 150.761520443949 \tabularnewline
0.85 & 4857.48847204669 & 152.137102522285 \tabularnewline
0.86 & 4903.44726127486 & 158.081350031043 \tabularnewline
0.87 & 4953.41067992386 & 167.857369073261 \tabularnewline
0.88 & 5008.52469017556 & 179.842229165241 \tabularnewline
0.89 & 5069.85689751839 & 192.415873240471 \tabularnewline
0.9 & 5138.75398114209 & 205.076750210359 \tabularnewline
0.91 & 5217.75330713913 & 219.739034737769 \tabularnewline
0.92 & 5312.2668442543 & 242.62478071131 \tabularnewline
0.93 & 5433.09284335091 & 286.432207283986 \tabularnewline
0.94 & 5599.44626031413 & 368.853643796332 \tabularnewline
0.95 & 5842.19078780284 & 502.341188623644 \tabularnewline
0.96 & 6207.98899784064 & 684.129670455386 \tabularnewline
0.97 & 6762.27565150035 & 910.171940488249 \tabularnewline
0.98 & 7563.11044810841 & 1220.54083247725 \tabularnewline
0.99 & 8532.62608273009 & 1663.37512703909 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=293096&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]2796.41616162289[/C][C]149.817137401742[/C][/ROW]
[ROW][C]0.02[/C][C]2876.41017333301[/C][C]90.4393532770017[/C][/ROW]
[ROW][C]0.03[/C][C]2936.60275745159[/C][C]58.9294543520618[/C][/ROW]
[ROW][C]0.04[/C][C]2976.9166713558[/C][C]53.2828509516862[/C][/ROW]
[ROW][C]0.05[/C][C]3007.46564028161[/C][C]57.6485093608542[/C][/ROW]
[ROW][C]0.06[/C][C]3034.95789536295[/C][C]63.6468312943256[/C][/ROW]
[ROW][C]0.07[/C][C]3061.83634071701[/C][C]68.651568207032[/C][/ROW]
[ROW][C]0.08[/C][C]3088.41509976179[/C][C]71.540063470166[/C][/ROW]
[ROW][C]0.09[/C][C]3114.2853322735[/C][C]71.8802183372442[/C][/ROW]
[ROW][C]0.1[/C][C]3138.93397865832[/C][C]70.0690955110778[/C][/ROW]
[ROW][C]0.11[/C][C]3162.0236568328[/C][C]67.2138755843957[/C][/ROW]
[ROW][C]0.12[/C][C]3183.51739448191[/C][C]64.6817522482715[/C][/ROW]
[ROW][C]0.13[/C][C]3203.68319490788[/C][C]63.6334099432647[/C][/ROW]
[ROW][C]0.14[/C][C]3223.00474606608[/C][C]64.6915195602577[/C][/ROW]
[ROW][C]0.15[/C][C]3242.04584285864[/C][C]67.8289140424479[/C][/ROW]
[ROW][C]0.16[/C][C]3261.31813807821[/C][C]72.5094536378137[/C][/ROW]
[ROW][C]0.17[/C][C]3281.18573729498[/C][C]77.9249973746961[/C][/ROW]
[ROW][C]0.18[/C][C]3301.81992235908[/C][C]83.2568548312707[/C][/ROW]
[ROW][C]0.19[/C][C]3323.20165344143[/C][C]87.8077946605542[/C][/ROW]
[ROW][C]0.2[/C][C]3345.16036851879[/C][C]91.1258064088257[/C][/ROW]
[ROW][C]0.21[/C][C]3367.43383620367[/C][C]93.0247842006553[/C][/ROW]
[ROW][C]0.22[/C][C]3389.73384444285[/C][C]93.5738277447397[/C][/ROW]
[ROW][C]0.23[/C][C]3411.80497281971[/C][C]93.0692151678708[/C][/ROW]
[ROW][C]0.24[/C][C]3433.46746280564[/C][C]91.9488078358091[/C][/ROW]
[ROW][C]0.25[/C][C]3454.63938476696[/C][C]90.7246668864381[/C][/ROW]
[ROW][C]0.26[/C][C]3475.33733611062[/C][C]89.8462811463275[/C][/ROW]
[ROW][C]0.27[/C][C]3495.65845995713[/C][C]89.6637657619331[/C][/ROW]
[ROW][C]0.28[/C][C]3515.74937268012[/C][C]90.3246859971523[/C][/ROW]
[ROW][C]0.29[/C][C]3535.76931085825[/C][C]91.7587624503071[/C][/ROW]
[ROW][C]0.3[/C][C]3555.85515635247[/C][C]93.7108299146815[/C][/ROW]
[ROW][C]0.31[/C][C]3576.09487352741[/C][C]95.8395143455476[/C][/ROW]
[ROW][C]0.32[/C][C]3596.51353286674[/C][C]97.7666843116781[/C][/ROW]
[ROW][C]0.33[/C][C]3617.07306919175[/C][C]99.1780703565866[/C][/ROW]
[ROW][C]0.34[/C][C]3637.6839726613[/C][C]99.8693460393246[/C][/ROW]
[ROW][C]0.35[/C][C]3658.22491985796[/C][C]99.7595243987789[/C][/ROW]
[ROW][C]0.36[/C][C]3678.565341887[/C][C]98.8842824622078[/C][/ROW]
[ROW][C]0.37[/C][C]3698.58616055028[/C][C]97.3952289882651[/C][/ROW]
[ROW][C]0.38[/C][C]3718.19514154785[/C][C]95.4876496704885[/C][/ROW]
[ROW][C]0.39[/C][C]3737.33505809759[/C][C]93.3645456945052[/C][/ROW]
[ROW][C]0.4[/C][C]3755.98463823435[/C][C]91.2307521223629[/C][/ROW]
[ROW][C]0.41[/C][C]3774.15369488915[/C][C]89.2242141081522[/C][/ROW]
[ROW][C]0.42[/C][C]3791.87469256472[/C][C]87.4248003823456[/C][/ROW]
[ROW][C]0.43[/C][C]3809.19324406169[/C][C]85.8729201111129[/C][/ROW]
[ROW][C]0.44[/C][C]3826.15973767308[/C][C]84.543156328675[/C][/ROW]
[ROW][C]0.45[/C][C]3842.8236183728[/C][C]83.4131838470966[/C][/ROW]
[ROW][C]0.46[/C][C]3859.23095641325[/C][C]82.436617723386[/C][/ROW]
[ROW][C]0.47[/C][C]3875.42500687301[/C][C]81.6031247476815[/C][/ROW]
[ROW][C]0.48[/C][C]3891.44866765927[/C][C]80.9188710508968[/C][/ROW]
[ROW][C]0.49[/C][C]3907.34724895946[/C][C]80.4169449962759[/C][/ROW]
[ROW][C]0.5[/C][C]3923.1699106806[/C][C]80.1487882220685[/C][/ROW]
[ROW][C]0.51[/C][C]3938.96856663302[/C][C]80.1387189132516[/C][/ROW]
[ROW][C]0.52[/C][C]3954.79393337243[/C][C]80.4055776183235[/C][/ROW]
[ROW][C]0.53[/C][C]3970.68951331933[/C][C]80.8807893375742[/C][/ROW]
[ROW][C]0.54[/C][C]3986.68532791188[/C][C]81.4784104862541[/C][/ROW]
[ROW][C]0.55[/C][C]4002.79380758057[/C][C]82.0564048295048[/C][/ROW]
[ROW][C]0.56[/C][C]4019.01013499248[/C][C]82.4870350259048[/C][/ROW]
[ROW][C]0.57[/C][C]4035.31844992447[/C][C]82.6926288991791[/C][/ROW]
[ROW][C]0.58[/C][C]4051.7038261848[/C][C]82.6741886474508[/C][/ROW]
[ROW][C]0.59[/C][C]4068.16820892739[/C][C]82.5558763208784[/C][/ROW]
[ROW][C]0.6[/C][C]4084.74705195991[/C][C]82.562370294175[/C][/ROW]
[ROW][C]0.61[/C][C]4101.52267606935[/C][C]83.0068042661197[/C][/ROW]
[ROW][C]0.62[/C][C]4118.6306519733[/C][C]84.2145428281249[/C][/ROW]
[ROW][C]0.63[/C][C]4136.25679443853[/C][C]86.4703066802232[/C][/ROW]
[ROW][C]0.64[/C][C]4154.62436611944[/C][C]89.9483229699801[/C][/ROW]
[ROW][C]0.65[/C][C]4173.97336951273[/C][C]94.656765867048[/C][/ROW]
[ROW][C]0.66[/C][C]4194.53582202611[/C][C]100.43530038264[/C][/ROW]
[ROW][C]0.67[/C][C]4216.51217280806[/C][C]106.995651145907[/C][/ROW]
[ROW][C]0.68[/C][C]4240.05415575427[/C][C]113.975119946472[/C][/ROW]
[ROW][C]0.69[/C][C]4265.25816609997[/C][C]121.024165123038[/C][/ROW]
[ROW][C]0.7[/C][C]4292.17070066256[/C][C]127.871699123089[/C][/ROW]
[ROW][C]0.71[/C][C]4320.80383631086[/C][C]134.349517720611[/C][/ROW]
[ROW][C]0.72[/C][C]4351.15490274487[/C][C]140.462076327479[/C][/ROW]
[ROW][C]0.73[/C][C]4383.221678063[/C][C]146.301778084162[/C][/ROW]
[ROW][C]0.74[/C][C]4417.00411350973[/C][C]151.999155051423[/C][/ROW]
[ROW][C]0.75[/C][C]4452.48701223322[/C][C]157.562477647368[/C][/ROW]
[ROW][C]0.76[/C][C]4489.60540063515[/C][C]162.752869485751[/C][/ROW]
[ROW][C]0.77[/C][C]4528.20391271313[/C][C]167.057213441534[/C][/ROW]
[ROW][C]0.78[/C][C]4568.00985584332[/C][C]169.78669278511[/C][/ROW]
[ROW][C]0.79[/C][C]4608.64228044668[/C][C]170.291689152543[/C][/ROW]
[ROW][C]0.8[/C][C]4649.6727970547[/C][C]168.250919329717[/C][/ROW]
[ROW][C]0.81[/C][C]4690.73763872805[/C][C]163.95918508265[/C][/ROW]
[ROW][C]0.82[/C][C]4731.67862181011[/C][C]158.443278165269[/C][/ROW]
[ROW][C]0.83[/C][C]4772.67138554658[/C][C]153.396136343365[/C][/ROW]
[ROW][C]0.84[/C][C]4814.29234386495[/C][C]150.761520443949[/C][/ROW]
[ROW][C]0.85[/C][C]4857.48847204669[/C][C]152.137102522285[/C][/ROW]
[ROW][C]0.86[/C][C]4903.44726127486[/C][C]158.081350031043[/C][/ROW]
[ROW][C]0.87[/C][C]4953.41067992386[/C][C]167.857369073261[/C][/ROW]
[ROW][C]0.88[/C][C]5008.52469017556[/C][C]179.842229165241[/C][/ROW]
[ROW][C]0.89[/C][C]5069.85689751839[/C][C]192.415873240471[/C][/ROW]
[ROW][C]0.9[/C][C]5138.75398114209[/C][C]205.076750210359[/C][/ROW]
[ROW][C]0.91[/C][C]5217.75330713913[/C][C]219.739034737769[/C][/ROW]
[ROW][C]0.92[/C][C]5312.2668442543[/C][C]242.62478071131[/C][/ROW]
[ROW][C]0.93[/C][C]5433.09284335091[/C][C]286.432207283986[/C][/ROW]
[ROW][C]0.94[/C][C]5599.44626031413[/C][C]368.853643796332[/C][/ROW]
[ROW][C]0.95[/C][C]5842.19078780284[/C][C]502.341188623644[/C][/ROW]
[ROW][C]0.96[/C][C]6207.98899784064[/C][C]684.129670455386[/C][/ROW]
[ROW][C]0.97[/C][C]6762.27565150035[/C][C]910.171940488249[/C][/ROW]
[ROW][C]0.98[/C][C]7563.11044810841[/C][C]1220.54083247725[/C][/ROW]
[ROW][C]0.99[/C][C]8532.62608273009[/C][C]1663.37512703909[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=293096&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=293096&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
0.012796.41616162289149.817137401742
0.022876.4101733330190.4393532770017
0.032936.6027574515958.9294543520618
0.042976.916671355853.2828509516862
0.053007.4656402816157.6485093608542
0.063034.9578953629563.6468312943256
0.073061.8363407170168.651568207032
0.083088.4150997617971.540063470166
0.093114.285332273571.8802183372442
0.13138.9339786583270.0690955110778
0.113162.023656832867.2138755843957
0.123183.5173944819164.6817522482715
0.133203.6831949078863.6334099432647
0.143223.0047460660864.6915195602577
0.153242.0458428586467.8289140424479
0.163261.3181380782172.5094536378137
0.173281.1857372949877.9249973746961
0.183301.8199223590883.2568548312707
0.193323.2016534414387.8077946605542
0.23345.1603685187991.1258064088257
0.213367.4338362036793.0247842006553
0.223389.7338444428593.5738277447397
0.233411.8049728197193.0692151678708
0.243433.4674628056491.9488078358091
0.253454.6393847669690.7246668864381
0.263475.3373361106289.8462811463275
0.273495.6584599571389.6637657619331
0.283515.7493726801290.3246859971523
0.293535.7693108582591.7587624503071
0.33555.8551563524793.7108299146815
0.313576.0948735274195.8395143455476
0.323596.5135328667497.7666843116781
0.333617.0730691917599.1780703565866
0.343637.683972661399.8693460393246
0.353658.2249198579699.7595243987789
0.363678.56534188798.8842824622078
0.373698.5861605502897.3952289882651
0.383718.1951415478595.4876496704885
0.393737.3350580975993.3645456945052
0.43755.9846382343591.2307521223629
0.413774.1536948891589.2242141081522
0.423791.8746925647287.4248003823456
0.433809.1932440616985.8729201111129
0.443826.1597376730884.543156328675
0.453842.823618372883.4131838470966
0.463859.2309564132582.436617723386
0.473875.4250068730181.6031247476815
0.483891.4486676592780.9188710508968
0.493907.3472489594680.4169449962759
0.53923.169910680680.1487882220685
0.513938.9685666330280.1387189132516
0.523954.7939333724380.4055776183235
0.533970.6895133193380.8807893375742
0.543986.6853279118881.4784104862541
0.554002.7938075805782.0564048295048
0.564019.0101349924882.4870350259048
0.574035.3184499244782.6926288991791
0.584051.703826184882.6741886474508
0.594068.1682089273982.5558763208784
0.64084.7470519599182.562370294175
0.614101.5226760693583.0068042661197
0.624118.630651973384.2145428281249
0.634136.2567944385386.4703066802232
0.644154.6243661194489.9483229699801
0.654173.9733695127394.656765867048
0.664194.53582202611100.43530038264
0.674216.51217280806106.995651145907
0.684240.05415575427113.975119946472
0.694265.25816609997121.024165123038
0.74292.17070066256127.871699123089
0.714320.80383631086134.349517720611
0.724351.15490274487140.462076327479
0.734383.221678063146.301778084162
0.744417.00411350973151.999155051423
0.754452.48701223322157.562477647368
0.764489.60540063515162.752869485751
0.774528.20391271313167.057213441534
0.784568.00985584332169.78669278511
0.794608.64228044668170.291689152543
0.84649.6727970547168.250919329717
0.814690.73763872805163.95918508265
0.824731.67862181011158.443278165269
0.834772.67138554658153.396136343365
0.844814.29234386495150.761520443949
0.854857.48847204669152.137102522285
0.864903.44726127486158.081350031043
0.874953.41067992386167.857369073261
0.885008.52469017556179.842229165241
0.895069.85689751839192.415873240471
0.95138.75398114209205.076750210359
0.915217.75330713913219.739034737769
0.925312.2668442543242.62478071131
0.935433.09284335091286.432207283986
0.945599.44626031413368.853643796332
0.955842.19078780284502.341188623644
0.966207.98899784064684.129670455386
0.976762.27565150035910.171940488249
0.987563.110448108411220.54083247725
0.998532.626082730091663.37512703909


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')