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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, 09 Feb 2015 13:20:03 +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/2015/Feb/09/t14234880296q3uwuu9sb6ty4v.htm/, Retrieved Sat, 25 Apr 2026 23:49:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276884, Retrieved Sat, 25 Apr 2026 23:49:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact330

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] [Harrell-Davis per...] [2015-02-09 13:20:03] [cab9dc260884be88f444bea8f40c034b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3862.5
3875.7
3875.9
3877.7
3880.4
3883.4
3884.2
3884.8
3894.9
3903.3
3911.2
3928.9
3945.6
3965.7
3992.3
4008.7
4014.8
4020.6
4037.5
4058.5
4082.3
4102.4
4127.1
4144.4
4161
4168.2
4178.3
4174.1
4165.7
4167.9
4158.3
4158.3
4143.7
4157.5
4164.8
4173.9
4181.2
4190.7
4206.6
4222.1
4245.8
4255.4
4266.1
4273.6
4282.1
4299.8
4315.7
4331.7
4348.4
4367.8
4387.2
4410.9
4436
4453.8
4469.1
4472
4458.2
4449
4441.5
4445.7
4453.9
4469.7
4487.5
4504
4524.1
4540.5
4548.4
4554.2
4558
4557.5
4554.5
4550
4543.8
4538.2
4543.3
4545.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276884&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276884&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276884&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.013866.117482970479.81737614184739
0.023870.68415790346.12784083829145
0.033874.362619550963.9842870334705
0.043876.98782696793.69711651118649
0.053879.108182202034.47859148171479
0.063881.236904654465.87165307517123
0.073883.708077452417.9207127177226
0.083886.7568293796510.7324645354705
0.093890.5830672421614.3163666756399
0.13895.3599790280118.5625087850845
0.113901.2159041009823.2717266282593
0.123908.2154672781728.1934219351841
0.133916.3508035502733.0482292591501
0.143925.5443114341837.5722477648403
0.153935.661020500841.5414315952811
0.163946.5279790759344.8130488948829
0.173957.9576357133647.3544814190634
0.183969.7713716421849.2383112058634
0.193981.8187389748150.6226772908346
0.23993.9884027586651.7034394356457
0.214006.2085742832952.6463009332425
0.224018.437410825453.5401551477877
0.234030.6465185527554.3657986804221
0.244042.8024075005755.0017385837218
0.254054.8509885995955.2602783212511
0.264066.7090109966254.9517304709927
0.274078.2642186157953.8983974840446
0.284089.3836806599652.0337721027084
0.294099.9278865625949.3521501719164
0.34109.7672039915545.957655052989
0.314118.7972698453342.0258541786738
0.324126.9506357439237.7786866593972
0.334134.2031801238733.4399093089455
0.344140.5750586826329.254436455305
0.354146.1269957968225.4247167344411
0.364150.9533496132622.1111687011336
0.374155.1735733895119.4333023193924
0.384158.9235123382517.4797598553193
0.394162.3475497801616.3058040662466
0.44165.5921003521815.9284429978017
0.414168.8004777925116.3322967142878
0.424172.1088384293817.4469756956493
0.434175.6427673614319.2103763743111
0.444179.5141305072421.5253174434039
0.454183.8180171175124.2791127130795
0.464188.6298688327427.344378009271
0.474194.0031450266830.6047594767636
0.484199.9680287882633.9136386199613
0.494206.5316776377637.1520093070338
0.54213.6803516867340.2130123511756
0.514221.3834385323743.0114246107919
0.524229.5990079607245.4987809653744
0.534238.280163792947.6830031208208
0.544247.3812087533149.5880058040565
0.554256.8625708709851.2902877561442
0.564266.6935840918752.8400914047428
0.574276.8525500584554.3026875082935
0.584287.3239691250755.7215022761832
0.594298.0933291180657.0837927455969
0.64309.1402901121358.3443232839301
0.614320.4314285799159.4029631738896
0.624331.9138568898560.1423428932974
0.634343.5109938696860.4292362420151
0.644355.1215316329660.1118072264455
0.654366.6222443210159.0908000615637
0.664377.8747552653757.3006060087665
0.674388.7357812293554.7401457632901
0.684399.0697903157551.4642525267368
0.694408.7625456822247.6248505931161
0.74417.733760403343.4118968304293
0.714425.9471276317739.0679632989996
0.724433.4163196311434.8607331516922
0.734440.2060953562831.0538481453513
0.744446.4282794846827.8906023276654
0.754452.2329175497425.5513541153244
0.764457.7952622867924.1581797080718
0.774463.2994052997623.7228649970865
0.784468.9194636673324.1419692231805
0.794474.7994692303225.210007823073
0.84481.0336561741426.6165476567844
0.814487.6496847060628.0254219955648
0.824494.5981809357229.0650697828023
0.834501.7522731992729.41698657391
0.844508.9199700758828.8405704390464
0.854515.8699339484427.2393417995838
0.864522.3677180519424.6803434493273
0.874528.2158130779121.3953838423388
0.884533.288318916817.7456121403733
0.894537.5510568028914.1342199605711
0.94541.0610538232510.9259577667776
0.914543.944990664028.37623544535884
0.924546.362767656426.56819222936763
0.934548.467586843785.40098669566264
0.944550.375419657674.63768322624689
0.954552.15205969664.03394583172259
0.964553.814724368813.44786511568286
0.974555.333827086512.82802498171591
0.984556.624957949092.09350230934336
0.994557.55245647761.18596839518295

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3866.11748297047 & 9.81737614184739 \tabularnewline
0.02 & 3870.6841579034 & 6.12784083829145 \tabularnewline
0.03 & 3874.36261955096 & 3.9842870334705 \tabularnewline
0.04 & 3876.9878269679 & 3.69711651118649 \tabularnewline
0.05 & 3879.10818220203 & 4.47859148171479 \tabularnewline
0.06 & 3881.23690465446 & 5.87165307517123 \tabularnewline
0.07 & 3883.70807745241 & 7.9207127177226 \tabularnewline
0.08 & 3886.75682937965 & 10.7324645354705 \tabularnewline
0.09 & 3890.58306724216 & 14.3163666756399 \tabularnewline
0.1 & 3895.35997902801 & 18.5625087850845 \tabularnewline
0.11 & 3901.21590410098 & 23.2717266282593 \tabularnewline
0.12 & 3908.21546727817 & 28.1934219351841 \tabularnewline
0.13 & 3916.35080355027 & 33.0482292591501 \tabularnewline
0.14 & 3925.54431143418 & 37.5722477648403 \tabularnewline
0.15 & 3935.6610205008 & 41.5414315952811 \tabularnewline
0.16 & 3946.52797907593 & 44.8130488948829 \tabularnewline
0.17 & 3957.95763571336 & 47.3544814190634 \tabularnewline
0.18 & 3969.77137164218 & 49.2383112058634 \tabularnewline
0.19 & 3981.81873897481 & 50.6226772908346 \tabularnewline
0.2 & 3993.98840275866 & 51.7034394356457 \tabularnewline
0.21 & 4006.20857428329 & 52.6463009332425 \tabularnewline
0.22 & 4018.4374108254 & 53.5401551477877 \tabularnewline
0.23 & 4030.64651855275 & 54.3657986804221 \tabularnewline
0.24 & 4042.80240750057 & 55.0017385837218 \tabularnewline
0.25 & 4054.85098859959 & 55.2602783212511 \tabularnewline
0.26 & 4066.70901099662 & 54.9517304709927 \tabularnewline
0.27 & 4078.26421861579 & 53.8983974840446 \tabularnewline
0.28 & 4089.38368065996 & 52.0337721027084 \tabularnewline
0.29 & 4099.92788656259 & 49.3521501719164 \tabularnewline
0.3 & 4109.76720399155 & 45.957655052989 \tabularnewline
0.31 & 4118.79726984533 & 42.0258541786738 \tabularnewline
0.32 & 4126.95063574392 & 37.7786866593972 \tabularnewline
0.33 & 4134.20318012387 & 33.4399093089455 \tabularnewline
0.34 & 4140.57505868263 & 29.254436455305 \tabularnewline
0.35 & 4146.12699579682 & 25.4247167344411 \tabularnewline
0.36 & 4150.95334961326 & 22.1111687011336 \tabularnewline
0.37 & 4155.17357338951 & 19.4333023193924 \tabularnewline
0.38 & 4158.92351233825 & 17.4797598553193 \tabularnewline
0.39 & 4162.34754978016 & 16.3058040662466 \tabularnewline
0.4 & 4165.59210035218 & 15.9284429978017 \tabularnewline
0.41 & 4168.80047779251 & 16.3322967142878 \tabularnewline
0.42 & 4172.10883842938 & 17.4469756956493 \tabularnewline
0.43 & 4175.64276736143 & 19.2103763743111 \tabularnewline
0.44 & 4179.51413050724 & 21.5253174434039 \tabularnewline
0.45 & 4183.81801711751 & 24.2791127130795 \tabularnewline
0.46 & 4188.62986883274 & 27.344378009271 \tabularnewline
0.47 & 4194.00314502668 & 30.6047594767636 \tabularnewline
0.48 & 4199.96802878826 & 33.9136386199613 \tabularnewline
0.49 & 4206.53167763776 & 37.1520093070338 \tabularnewline
0.5 & 4213.68035168673 & 40.2130123511756 \tabularnewline
0.51 & 4221.38343853237 & 43.0114246107919 \tabularnewline
0.52 & 4229.59900796072 & 45.4987809653744 \tabularnewline
0.53 & 4238.2801637929 & 47.6830031208208 \tabularnewline
0.54 & 4247.38120875331 & 49.5880058040565 \tabularnewline
0.55 & 4256.86257087098 & 51.2902877561442 \tabularnewline
0.56 & 4266.69358409187 & 52.8400914047428 \tabularnewline
0.57 & 4276.85255005845 & 54.3026875082935 \tabularnewline
0.58 & 4287.32396912507 & 55.7215022761832 \tabularnewline
0.59 & 4298.09332911806 & 57.0837927455969 \tabularnewline
0.6 & 4309.14029011213 & 58.3443232839301 \tabularnewline
0.61 & 4320.43142857991 & 59.4029631738896 \tabularnewline
0.62 & 4331.91385688985 & 60.1423428932974 \tabularnewline
0.63 & 4343.51099386968 & 60.4292362420151 \tabularnewline
0.64 & 4355.12153163296 & 60.1118072264455 \tabularnewline
0.65 & 4366.62224432101 & 59.0908000615637 \tabularnewline
0.66 & 4377.87475526537 & 57.3006060087665 \tabularnewline
0.67 & 4388.73578122935 & 54.7401457632901 \tabularnewline
0.68 & 4399.06979031575 & 51.4642525267368 \tabularnewline
0.69 & 4408.76254568222 & 47.6248505931161 \tabularnewline
0.7 & 4417.7337604033 & 43.4118968304293 \tabularnewline
0.71 & 4425.94712763177 & 39.0679632989996 \tabularnewline
0.72 & 4433.41631963114 & 34.8607331516922 \tabularnewline
0.73 & 4440.20609535628 & 31.0538481453513 \tabularnewline
0.74 & 4446.42827948468 & 27.8906023276654 \tabularnewline
0.75 & 4452.23291754974 & 25.5513541153244 \tabularnewline
0.76 & 4457.79526228679 & 24.1581797080718 \tabularnewline
0.77 & 4463.29940529976 & 23.7228649970865 \tabularnewline
0.78 & 4468.91946366733 & 24.1419692231805 \tabularnewline
0.79 & 4474.79946923032 & 25.210007823073 \tabularnewline
0.8 & 4481.03365617414 & 26.6165476567844 \tabularnewline
0.81 & 4487.64968470606 & 28.0254219955648 \tabularnewline
0.82 & 4494.59818093572 & 29.0650697828023 \tabularnewline
0.83 & 4501.75227319927 & 29.41698657391 \tabularnewline
0.84 & 4508.91997007588 & 28.8405704390464 \tabularnewline
0.85 & 4515.86993394844 & 27.2393417995838 \tabularnewline
0.86 & 4522.36771805194 & 24.6803434493273 \tabularnewline
0.87 & 4528.21581307791 & 21.3953838423388 \tabularnewline
0.88 & 4533.2883189168 & 17.7456121403733 \tabularnewline
0.89 & 4537.55105680289 & 14.1342199605711 \tabularnewline
0.9 & 4541.06105382325 & 10.9259577667776 \tabularnewline
0.91 & 4543.94499066402 & 8.37623544535884 \tabularnewline
0.92 & 4546.36276765642 & 6.56819222936763 \tabularnewline
0.93 & 4548.46758684378 & 5.40098669566264 \tabularnewline
0.94 & 4550.37541965767 & 4.63768322624689 \tabularnewline
0.95 & 4552.1520596966 & 4.03394583172259 \tabularnewline
0.96 & 4553.81472436881 & 3.44786511568286 \tabularnewline
0.97 & 4555.33382708651 & 2.82802498171591 \tabularnewline
0.98 & 4556.62495794909 & 2.09350230934336 \tabularnewline
0.99 & 4557.5524564776 & 1.18596839518295 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276884&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]3866.11748297047[/C][C]9.81737614184739[/C][/ROW]
[ROW][C]0.02[/C][C]3870.6841579034[/C][C]6.12784083829145[/C][/ROW]
[ROW][C]0.03[/C][C]3874.36261955096[/C][C]3.9842870334705[/C][/ROW]
[ROW][C]0.04[/C][C]3876.9878269679[/C][C]3.69711651118649[/C][/ROW]
[ROW][C]0.05[/C][C]3879.10818220203[/C][C]4.47859148171479[/C][/ROW]
[ROW][C]0.06[/C][C]3881.23690465446[/C][C]5.87165307517123[/C][/ROW]
[ROW][C]0.07[/C][C]3883.70807745241[/C][C]7.9207127177226[/C][/ROW]
[ROW][C]0.08[/C][C]3886.75682937965[/C][C]10.7324645354705[/C][/ROW]
[ROW][C]0.09[/C][C]3890.58306724216[/C][C]14.3163666756399[/C][/ROW]
[ROW][C]0.1[/C][C]3895.35997902801[/C][C]18.5625087850845[/C][/ROW]
[ROW][C]0.11[/C][C]3901.21590410098[/C][C]23.2717266282593[/C][/ROW]
[ROW][C]0.12[/C][C]3908.21546727817[/C][C]28.1934219351841[/C][/ROW]
[ROW][C]0.13[/C][C]3916.35080355027[/C][C]33.0482292591501[/C][/ROW]
[ROW][C]0.14[/C][C]3925.54431143418[/C][C]37.5722477648403[/C][/ROW]
[ROW][C]0.15[/C][C]3935.6610205008[/C][C]41.5414315952811[/C][/ROW]
[ROW][C]0.16[/C][C]3946.52797907593[/C][C]44.8130488948829[/C][/ROW]
[ROW][C]0.17[/C][C]3957.95763571336[/C][C]47.3544814190634[/C][/ROW]
[ROW][C]0.18[/C][C]3969.77137164218[/C][C]49.2383112058634[/C][/ROW]
[ROW][C]0.19[/C][C]3981.81873897481[/C][C]50.6226772908346[/C][/ROW]
[ROW][C]0.2[/C][C]3993.98840275866[/C][C]51.7034394356457[/C][/ROW]
[ROW][C]0.21[/C][C]4006.20857428329[/C][C]52.6463009332425[/C][/ROW]
[ROW][C]0.22[/C][C]4018.4374108254[/C][C]53.5401551477877[/C][/ROW]
[ROW][C]0.23[/C][C]4030.64651855275[/C][C]54.3657986804221[/C][/ROW]
[ROW][C]0.24[/C][C]4042.80240750057[/C][C]55.0017385837218[/C][/ROW]
[ROW][C]0.25[/C][C]4054.85098859959[/C][C]55.2602783212511[/C][/ROW]
[ROW][C]0.26[/C][C]4066.70901099662[/C][C]54.9517304709927[/C][/ROW]
[ROW][C]0.27[/C][C]4078.26421861579[/C][C]53.8983974840446[/C][/ROW]
[ROW][C]0.28[/C][C]4089.38368065996[/C][C]52.0337721027084[/C][/ROW]
[ROW][C]0.29[/C][C]4099.92788656259[/C][C]49.3521501719164[/C][/ROW]
[ROW][C]0.3[/C][C]4109.76720399155[/C][C]45.957655052989[/C][/ROW]
[ROW][C]0.31[/C][C]4118.79726984533[/C][C]42.0258541786738[/C][/ROW]
[ROW][C]0.32[/C][C]4126.95063574392[/C][C]37.7786866593972[/C][/ROW]
[ROW][C]0.33[/C][C]4134.20318012387[/C][C]33.4399093089455[/C][/ROW]
[ROW][C]0.34[/C][C]4140.57505868263[/C][C]29.254436455305[/C][/ROW]
[ROW][C]0.35[/C][C]4146.12699579682[/C][C]25.4247167344411[/C][/ROW]
[ROW][C]0.36[/C][C]4150.95334961326[/C][C]22.1111687011336[/C][/ROW]
[ROW][C]0.37[/C][C]4155.17357338951[/C][C]19.4333023193924[/C][/ROW]
[ROW][C]0.38[/C][C]4158.92351233825[/C][C]17.4797598553193[/C][/ROW]
[ROW][C]0.39[/C][C]4162.34754978016[/C][C]16.3058040662466[/C][/ROW]
[ROW][C]0.4[/C][C]4165.59210035218[/C][C]15.9284429978017[/C][/ROW]
[ROW][C]0.41[/C][C]4168.80047779251[/C][C]16.3322967142878[/C][/ROW]
[ROW][C]0.42[/C][C]4172.10883842938[/C][C]17.4469756956493[/C][/ROW]
[ROW][C]0.43[/C][C]4175.64276736143[/C][C]19.2103763743111[/C][/ROW]
[ROW][C]0.44[/C][C]4179.51413050724[/C][C]21.5253174434039[/C][/ROW]
[ROW][C]0.45[/C][C]4183.81801711751[/C][C]24.2791127130795[/C][/ROW]
[ROW][C]0.46[/C][C]4188.62986883274[/C][C]27.344378009271[/C][/ROW]
[ROW][C]0.47[/C][C]4194.00314502668[/C][C]30.6047594767636[/C][/ROW]
[ROW][C]0.48[/C][C]4199.96802878826[/C][C]33.9136386199613[/C][/ROW]
[ROW][C]0.49[/C][C]4206.53167763776[/C][C]37.1520093070338[/C][/ROW]
[ROW][C]0.5[/C][C]4213.68035168673[/C][C]40.2130123511756[/C][/ROW]
[ROW][C]0.51[/C][C]4221.38343853237[/C][C]43.0114246107919[/C][/ROW]
[ROW][C]0.52[/C][C]4229.59900796072[/C][C]45.4987809653744[/C][/ROW]
[ROW][C]0.53[/C][C]4238.2801637929[/C][C]47.6830031208208[/C][/ROW]
[ROW][C]0.54[/C][C]4247.38120875331[/C][C]49.5880058040565[/C][/ROW]
[ROW][C]0.55[/C][C]4256.86257087098[/C][C]51.2902877561442[/C][/ROW]
[ROW][C]0.56[/C][C]4266.69358409187[/C][C]52.8400914047428[/C][/ROW]
[ROW][C]0.57[/C][C]4276.85255005845[/C][C]54.3026875082935[/C][/ROW]
[ROW][C]0.58[/C][C]4287.32396912507[/C][C]55.7215022761832[/C][/ROW]
[ROW][C]0.59[/C][C]4298.09332911806[/C][C]57.0837927455969[/C][/ROW]
[ROW][C]0.6[/C][C]4309.14029011213[/C][C]58.3443232839301[/C][/ROW]
[ROW][C]0.61[/C][C]4320.43142857991[/C][C]59.4029631738896[/C][/ROW]
[ROW][C]0.62[/C][C]4331.91385688985[/C][C]60.1423428932974[/C][/ROW]
[ROW][C]0.63[/C][C]4343.51099386968[/C][C]60.4292362420151[/C][/ROW]
[ROW][C]0.64[/C][C]4355.12153163296[/C][C]60.1118072264455[/C][/ROW]
[ROW][C]0.65[/C][C]4366.62224432101[/C][C]59.0908000615637[/C][/ROW]
[ROW][C]0.66[/C][C]4377.87475526537[/C][C]57.3006060087665[/C][/ROW]
[ROW][C]0.67[/C][C]4388.73578122935[/C][C]54.7401457632901[/C][/ROW]
[ROW][C]0.68[/C][C]4399.06979031575[/C][C]51.4642525267368[/C][/ROW]
[ROW][C]0.69[/C][C]4408.76254568222[/C][C]47.6248505931161[/C][/ROW]
[ROW][C]0.7[/C][C]4417.7337604033[/C][C]43.4118968304293[/C][/ROW]
[ROW][C]0.71[/C][C]4425.94712763177[/C][C]39.0679632989996[/C][/ROW]
[ROW][C]0.72[/C][C]4433.41631963114[/C][C]34.8607331516922[/C][/ROW]
[ROW][C]0.73[/C][C]4440.20609535628[/C][C]31.0538481453513[/C][/ROW]
[ROW][C]0.74[/C][C]4446.42827948468[/C][C]27.8906023276654[/C][/ROW]
[ROW][C]0.75[/C][C]4452.23291754974[/C][C]25.5513541153244[/C][/ROW]
[ROW][C]0.76[/C][C]4457.79526228679[/C][C]24.1581797080718[/C][/ROW]
[ROW][C]0.77[/C][C]4463.29940529976[/C][C]23.7228649970865[/C][/ROW]
[ROW][C]0.78[/C][C]4468.91946366733[/C][C]24.1419692231805[/C][/ROW]
[ROW][C]0.79[/C][C]4474.79946923032[/C][C]25.210007823073[/C][/ROW]
[ROW][C]0.8[/C][C]4481.03365617414[/C][C]26.6165476567844[/C][/ROW]
[ROW][C]0.81[/C][C]4487.64968470606[/C][C]28.0254219955648[/C][/ROW]
[ROW][C]0.82[/C][C]4494.59818093572[/C][C]29.0650697828023[/C][/ROW]
[ROW][C]0.83[/C][C]4501.75227319927[/C][C]29.41698657391[/C][/ROW]
[ROW][C]0.84[/C][C]4508.91997007588[/C][C]28.8405704390464[/C][/ROW]
[ROW][C]0.85[/C][C]4515.86993394844[/C][C]27.2393417995838[/C][/ROW]
[ROW][C]0.86[/C][C]4522.36771805194[/C][C]24.6803434493273[/C][/ROW]
[ROW][C]0.87[/C][C]4528.21581307791[/C][C]21.3953838423388[/C][/ROW]
[ROW][C]0.88[/C][C]4533.2883189168[/C][C]17.7456121403733[/C][/ROW]
[ROW][C]0.89[/C][C]4537.55105680289[/C][C]14.1342199605711[/C][/ROW]
[ROW][C]0.9[/C][C]4541.06105382325[/C][C]10.9259577667776[/C][/ROW]
[ROW][C]0.91[/C][C]4543.94499066402[/C][C]8.37623544535884[/C][/ROW]
[ROW][C]0.92[/C][C]4546.36276765642[/C][C]6.56819222936763[/C][/ROW]
[ROW][C]0.93[/C][C]4548.46758684378[/C][C]5.40098669566264[/C][/ROW]
[ROW][C]0.94[/C][C]4550.37541965767[/C][C]4.63768322624689[/C][/ROW]
[ROW][C]0.95[/C][C]4552.1520596966[/C][C]4.03394583172259[/C][/ROW]
[ROW][C]0.96[/C][C]4553.81472436881[/C][C]3.44786511568286[/C][/ROW]
[ROW][C]0.97[/C][C]4555.33382708651[/C][C]2.82802498171591[/C][/ROW]
[ROW][C]0.98[/C][C]4556.62495794909[/C][C]2.09350230934336[/C][/ROW]
[ROW][C]0.99[/C][C]4557.5524564776[/C][C]1.18596839518295[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276884&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276884&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
0.013866.117482970479.81737614184739
0.023870.68415790346.12784083829145
0.033874.362619550963.9842870334705
0.043876.98782696793.69711651118649
0.053879.108182202034.47859148171479
0.063881.236904654465.87165307517123
0.073883.708077452417.9207127177226
0.083886.7568293796510.7324645354705
0.093890.5830672421614.3163666756399
0.13895.3599790280118.5625087850845
0.113901.2159041009823.2717266282593
0.123908.2154672781728.1934219351841
0.133916.3508035502733.0482292591501
0.143925.5443114341837.5722477648403
0.153935.661020500841.5414315952811
0.163946.5279790759344.8130488948829
0.173957.9576357133647.3544814190634
0.183969.7713716421849.2383112058634
0.193981.8187389748150.6226772908346
0.23993.9884027586651.7034394356457
0.214006.2085742832952.6463009332425
0.224018.437410825453.5401551477877
0.234030.6465185527554.3657986804221
0.244042.8024075005755.0017385837218
0.254054.8509885995955.2602783212511
0.264066.7090109966254.9517304709927
0.274078.2642186157953.8983974840446
0.284089.3836806599652.0337721027084
0.294099.9278865625949.3521501719164
0.34109.7672039915545.957655052989
0.314118.7972698453342.0258541786738
0.324126.9506357439237.7786866593972
0.334134.2031801238733.4399093089455
0.344140.5750586826329.254436455305
0.354146.1269957968225.4247167344411
0.364150.9533496132622.1111687011336
0.374155.1735733895119.4333023193924
0.384158.9235123382517.4797598553193
0.394162.3475497801616.3058040662466
0.44165.5921003521815.9284429978017
0.414168.8004777925116.3322967142878
0.424172.1088384293817.4469756956493
0.434175.6427673614319.2103763743111
0.444179.5141305072421.5253174434039
0.454183.8180171175124.2791127130795
0.464188.6298688327427.344378009271
0.474194.0031450266830.6047594767636
0.484199.9680287882633.9136386199613
0.494206.5316776377637.1520093070338
0.54213.6803516867340.2130123511756
0.514221.3834385323743.0114246107919
0.524229.5990079607245.4987809653744
0.534238.280163792947.6830031208208
0.544247.3812087533149.5880058040565
0.554256.8625708709851.2902877561442
0.564266.6935840918752.8400914047428
0.574276.8525500584554.3026875082935
0.584287.3239691250755.7215022761832
0.594298.0933291180657.0837927455969
0.64309.1402901121358.3443232839301
0.614320.4314285799159.4029631738896
0.624331.9138568898560.1423428932974
0.634343.5109938696860.4292362420151
0.644355.1215316329660.1118072264455
0.654366.6222443210159.0908000615637
0.664377.8747552653757.3006060087665
0.674388.7357812293554.7401457632901
0.684399.0697903157551.4642525267368
0.694408.7625456822247.6248505931161
0.74417.733760403343.4118968304293
0.714425.9471276317739.0679632989996
0.724433.4163196311434.8607331516922
0.734440.2060953562831.0538481453513
0.744446.4282794846827.8906023276654
0.754452.2329175497425.5513541153244
0.764457.7952622867924.1581797080718
0.774463.2994052997623.7228649970865
0.784468.9194636673324.1419692231805
0.794474.7994692303225.210007823073
0.84481.0336561741426.6165476567844
0.814487.6496847060628.0254219955648
0.824494.5981809357229.0650697828023
0.834501.7522731992729.41698657391
0.844508.9199700758828.8405704390464
0.854515.8699339484427.2393417995838
0.864522.3677180519424.6803434493273
0.874528.2158130779121.3953838423388
0.884533.288318916817.7456121403733
0.894537.5510568028914.1342199605711
0.94541.0610538232510.9259577667776
0.914543.944990664028.37623544535884
0.924546.362767656426.56819222936763
0.934548.467586843785.40098669566264
0.944550.375419657674.63768322624689
0.954552.15205969664.03394583172259
0.964553.814724368813.44786511568286
0.974555.333827086512.82802498171591
0.984556.624957949092.09350230934336
0.994557.55245647761.18596839518295


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')