FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationMon, 14 Dec 2015 17:27:53 +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/Dec/14/t1450114126fsh9zs6rh16dfku.htm/, Retrieved Thu, 16 May 2024 15:18:32 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=286351, Retrieved Thu, 16 May 2024 15:18:32 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact106

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Percentiles] [] [2015-08-27 09:25:18] [32b17a345b130fdf5cc88718ed94a974]
- RMP   [Harrell-Davis Quantiles] [] [2015-10-08 19:05:43] [32b17a345b130fdf5cc88718ed94a974]
- R PD      [Harrell-Davis Quantiles] [harrell-davis taak 4] [2015-12-14 17:27:53] [6a0dd4d79ba93e4b564fd6f93c05ce84] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
29.90
28.77
15.64
23.73
25.65
21.81
28.97
24.29
25.33
28.84
19.99
19.75
22.70
23.28
24.15
20.38
27.75
27.31
25.61
22.64
26.05
28.07
21.02
25.00
17.93
35.45
17.70
28.53
26.55
26.51
30.78
26.83
27.49
25.89
20.44
19.79
18.14
27.98
35.90
34.38
21.58
21.53
31.14
28.25
25.16
20.51
30.05
20.17
32.37
22.46
25.40
19.82
18.14
20.10
20.25
19.73
24.74
26.17
20.14
31.71
26.66
20.75
20.01
26.67
23.91
26.81
29.31
31.76
22.99
23.94
27.04
20.28
23.32

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=286351&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=286351&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286351&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
0.0116.19009091840731.58405637120438
0.0216.90498900130131.0469145991172
0.0317.50729923477850.703839268596901
0.0417.94786629015330.622725791394295
0.0518.28799747975820.681391590712064
0.0618.5857064622170.744572390548567
0.0718.86357051671080.752351999954045
0.0819.11951557493670.696784455124615
0.0919.34403566111440.59795820216103
0.119.53074346940830.484882213843673
0.1119.67959286287650.381757059044295
0.1219.7956897502360.302114948528562
0.1319.88660970998920.248987822711298
0.1419.96006292239850.218653045082212
0.1520.02259999203490.205307932759653
0.1620.07927918130290.204490205788108
0.1720.13390209435220.214028756618948
0.1820.18943506048780.233355291980323
0.1920.24837761226350.262676942205045
0.220.31298420379860.302057743198102
0.2120.38533760085930.35124330643198
0.2220.46731280533630.409067363383674
0.2320.56047894352270.473891115212349
0.2420.66598147988910.54322097398651
0.2520.78443831577380.614196961091802
0.2620.91587398850240.683738079838803
0.2721.05970653231730.748792075414009
0.2821.21479158855030.806624883317947
0.2921.37951880549130.85521132456211
0.321.55194773743750.893191600356022
0.3121.72996551819840.920028323095667
0.3221.91144709863790.936077584646506
0.3322.09440056452510.942276990703866
0.3422.27708413348520.940171941952878
0.3522.45808671955290.931614985697385
0.3622.63636933412340.918590500840913
0.3722.81126920319210.903084812484257
0.3822.98247182609650.886772288934112
0.3923.14995815688610.871096173105249
0.423.31393484375350.857024439984101
0.4123.47475539746980.845111366166196
0.4223.63283969937160.835480485996676
0.4323.78859870650430.827874021361544
0.4423.94237063719590.821628797534038
0.4524.09437414885860.815897362729775
0.4624.2446827317390.809626257297867
0.4724.39322246512170.8019959054996
0.4824.53979239204990.792226181052638
0.4924.6841034095920.779871879509385
0.524.82582843050720.764949461274208
0.5124.96465449530230.747753427280214
0.5225.10032722830090.728831136996244
0.5325.23267986902880.709055157091635
0.5425.36164283731230.689063456436463
0.5525.48723461158770.669500572581785
0.5625.60953944082480.650615071695363
0.5725.72868082658230.63253804434338
0.5825.84480083063310.615122147449415
0.5925.95805366355880.598273768950675
0.626.06861795875430.58191101199058
0.6126.17672655650630.566257553324501
0.6226.28270688865730.551929170167469
0.6326.38702067075680.539735109114044
0.6426.49028984098860.530819010426818
0.6526.59329722483130.52625811648686
0.6626.69695515069410.526836260917753
0.6726.80224226491490.532878170675014
0.6826.91011650980570.543959255088385
0.6927.02141876400750.559024780521944
0.727.13678532871450.576421058839322
0.7127.25658728679960.594395681749533
0.7227.38091077898850.611084175462191
0.7327.5095854750480.625138352386835
0.7427.64226070430320.635640364671093
0.7527.77852164854660.642464515012607
0.7627.91803285268140.646174157455826
0.7728.060693143110.648061944166647
0.7828.20678392921020.650075342993746
0.7928.35709058882530.654582174370184
0.828.51297380253680.664187048660872
0.8128.67636558455960.681324535606036
0.8228.84966639280530.707749570142852
0.8329.03552898638950.743842880109171
0.8429.23653516240550.788127883997687
0.8529.45480571882030.837177340602175
0.8629.69163388138730.885946860841229
0.8729.94729826282550.928608663339093
0.8830.22128430917090.959926633771321
0.8930.51318618573630.977493320955783
0.930.82448335038790.984766302532692
0.9131.16103851345440.994580001930399
0.9231.53541463958981.0304418214511
0.9331.96705982872511.11871740251806
0.9432.47770790746611.26533681905347
0.9533.08027539881331.42939234233489

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 16.1900909184073 & 1.58405637120438 \tabularnewline
0.02 & 16.9049890013013 & 1.0469145991172 \tabularnewline
0.03 & 17.5072992347785 & 0.703839268596901 \tabularnewline
0.04 & 17.9478662901533 & 0.622725791394295 \tabularnewline
0.05 & 18.2879974797582 & 0.681391590712064 \tabularnewline
0.06 & 18.585706462217 & 0.744572390548567 \tabularnewline
0.07 & 18.8635705167108 & 0.752351999954045 \tabularnewline
0.08 & 19.1195155749367 & 0.696784455124615 \tabularnewline
0.09 & 19.3440356611144 & 0.59795820216103 \tabularnewline
0.1 & 19.5307434694083 & 0.484882213843673 \tabularnewline
0.11 & 19.6795928628765 & 0.381757059044295 \tabularnewline
0.12 & 19.795689750236 & 0.302114948528562 \tabularnewline
0.13 & 19.8866097099892 & 0.248987822711298 \tabularnewline
0.14 & 19.9600629223985 & 0.218653045082212 \tabularnewline
0.15 & 20.0225999920349 & 0.205307932759653 \tabularnewline
0.16 & 20.0792791813029 & 0.204490205788108 \tabularnewline
0.17 & 20.1339020943522 & 0.214028756618948 \tabularnewline
0.18 & 20.1894350604878 & 0.233355291980323 \tabularnewline
0.19 & 20.2483776122635 & 0.262676942205045 \tabularnewline
0.2 & 20.3129842037986 & 0.302057743198102 \tabularnewline
0.21 & 20.3853376008593 & 0.35124330643198 \tabularnewline
0.22 & 20.4673128053363 & 0.409067363383674 \tabularnewline
0.23 & 20.5604789435227 & 0.473891115212349 \tabularnewline
0.24 & 20.6659814798891 & 0.54322097398651 \tabularnewline
0.25 & 20.7844383157738 & 0.614196961091802 \tabularnewline
0.26 & 20.9158739885024 & 0.683738079838803 \tabularnewline
0.27 & 21.0597065323173 & 0.748792075414009 \tabularnewline
0.28 & 21.2147915885503 & 0.806624883317947 \tabularnewline
0.29 & 21.3795188054913 & 0.85521132456211 \tabularnewline
0.3 & 21.5519477374375 & 0.893191600356022 \tabularnewline
0.31 & 21.7299655181984 & 0.920028323095667 \tabularnewline
0.32 & 21.9114470986379 & 0.936077584646506 \tabularnewline
0.33 & 22.0944005645251 & 0.942276990703866 \tabularnewline
0.34 & 22.2770841334852 & 0.940171941952878 \tabularnewline
0.35 & 22.4580867195529 & 0.931614985697385 \tabularnewline
0.36 & 22.6363693341234 & 0.918590500840913 \tabularnewline
0.37 & 22.8112692031921 & 0.903084812484257 \tabularnewline
0.38 & 22.9824718260965 & 0.886772288934112 \tabularnewline
0.39 & 23.1499581568861 & 0.871096173105249 \tabularnewline
0.4 & 23.3139348437535 & 0.857024439984101 \tabularnewline
0.41 & 23.4747553974698 & 0.845111366166196 \tabularnewline
0.42 & 23.6328396993716 & 0.835480485996676 \tabularnewline
0.43 & 23.7885987065043 & 0.827874021361544 \tabularnewline
0.44 & 23.9423706371959 & 0.821628797534038 \tabularnewline
0.45 & 24.0943741488586 & 0.815897362729775 \tabularnewline
0.46 & 24.244682731739 & 0.809626257297867 \tabularnewline
0.47 & 24.3932224651217 & 0.8019959054996 \tabularnewline
0.48 & 24.5397923920499 & 0.792226181052638 \tabularnewline
0.49 & 24.684103409592 & 0.779871879509385 \tabularnewline
0.5 & 24.8258284305072 & 0.764949461274208 \tabularnewline
0.51 & 24.9646544953023 & 0.747753427280214 \tabularnewline
0.52 & 25.1003272283009 & 0.728831136996244 \tabularnewline
0.53 & 25.2326798690288 & 0.709055157091635 \tabularnewline
0.54 & 25.3616428373123 & 0.689063456436463 \tabularnewline
0.55 & 25.4872346115877 & 0.669500572581785 \tabularnewline
0.56 & 25.6095394408248 & 0.650615071695363 \tabularnewline
0.57 & 25.7286808265823 & 0.63253804434338 \tabularnewline
0.58 & 25.8448008306331 & 0.615122147449415 \tabularnewline
0.59 & 25.9580536635588 & 0.598273768950675 \tabularnewline
0.6 & 26.0686179587543 & 0.58191101199058 \tabularnewline
0.61 & 26.1767265565063 & 0.566257553324501 \tabularnewline
0.62 & 26.2827068886573 & 0.551929170167469 \tabularnewline
0.63 & 26.3870206707568 & 0.539735109114044 \tabularnewline
0.64 & 26.4902898409886 & 0.530819010426818 \tabularnewline
0.65 & 26.5932972248313 & 0.52625811648686 \tabularnewline
0.66 & 26.6969551506941 & 0.526836260917753 \tabularnewline
0.67 & 26.8022422649149 & 0.532878170675014 \tabularnewline
0.68 & 26.9101165098057 & 0.543959255088385 \tabularnewline
0.69 & 27.0214187640075 & 0.559024780521944 \tabularnewline
0.7 & 27.1367853287145 & 0.576421058839322 \tabularnewline
0.71 & 27.2565872867996 & 0.594395681749533 \tabularnewline
0.72 & 27.3809107789885 & 0.611084175462191 \tabularnewline
0.73 & 27.509585475048 & 0.625138352386835 \tabularnewline
0.74 & 27.6422607043032 & 0.635640364671093 \tabularnewline
0.75 & 27.7785216485466 & 0.642464515012607 \tabularnewline
0.76 & 27.9180328526814 & 0.646174157455826 \tabularnewline
0.77 & 28.06069314311 & 0.648061944166647 \tabularnewline
0.78 & 28.2067839292102 & 0.650075342993746 \tabularnewline
0.79 & 28.3570905888253 & 0.654582174370184 \tabularnewline
0.8 & 28.5129738025368 & 0.664187048660872 \tabularnewline
0.81 & 28.6763655845596 & 0.681324535606036 \tabularnewline
0.82 & 28.8496663928053 & 0.707749570142852 \tabularnewline
0.83 & 29.0355289863895 & 0.743842880109171 \tabularnewline
0.84 & 29.2365351624055 & 0.788127883997687 \tabularnewline
0.85 & 29.4548057188203 & 0.837177340602175 \tabularnewline
0.86 & 29.6916338813873 & 0.885946860841229 \tabularnewline
0.87 & 29.9472982628255 & 0.928608663339093 \tabularnewline
0.88 & 30.2212843091709 & 0.959926633771321 \tabularnewline
0.89 & 30.5131861857363 & 0.977493320955783 \tabularnewline
0.9 & 30.8244833503879 & 0.984766302532692 \tabularnewline
0.91 & 31.1610385134544 & 0.994580001930399 \tabularnewline
0.92 & 31.5354146395898 & 1.0304418214511 \tabularnewline
0.93 & 31.9670598287251 & 1.11871740251806 \tabularnewline
0.94 & 32.4777079074661 & 1.26533681905347 \tabularnewline
0.95 & 33.0802753988133 & 1.42939234233489 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=286351&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]16.1900909184073[/C][C]1.58405637120438[/C][/ROW]
[ROW][C]0.02[/C][C]16.9049890013013[/C][C]1.0469145991172[/C][/ROW]
[ROW][C]0.03[/C][C]17.5072992347785[/C][C]0.703839268596901[/C][/ROW]
[ROW][C]0.04[/C][C]17.9478662901533[/C][C]0.622725791394295[/C][/ROW]
[ROW][C]0.05[/C][C]18.2879974797582[/C][C]0.681391590712064[/C][/ROW]
[ROW][C]0.06[/C][C]18.585706462217[/C][C]0.744572390548567[/C][/ROW]
[ROW][C]0.07[/C][C]18.8635705167108[/C][C]0.752351999954045[/C][/ROW]
[ROW][C]0.08[/C][C]19.1195155749367[/C][C]0.696784455124615[/C][/ROW]
[ROW][C]0.09[/C][C]19.3440356611144[/C][C]0.59795820216103[/C][/ROW]
[ROW][C]0.1[/C][C]19.5307434694083[/C][C]0.484882213843673[/C][/ROW]
[ROW][C]0.11[/C][C]19.6795928628765[/C][C]0.381757059044295[/C][/ROW]
[ROW][C]0.12[/C][C]19.795689750236[/C][C]0.302114948528562[/C][/ROW]
[ROW][C]0.13[/C][C]19.8866097099892[/C][C]0.248987822711298[/C][/ROW]
[ROW][C]0.14[/C][C]19.9600629223985[/C][C]0.218653045082212[/C][/ROW]
[ROW][C]0.15[/C][C]20.0225999920349[/C][C]0.205307932759653[/C][/ROW]
[ROW][C]0.16[/C][C]20.0792791813029[/C][C]0.204490205788108[/C][/ROW]
[ROW][C]0.17[/C][C]20.1339020943522[/C][C]0.214028756618948[/C][/ROW]
[ROW][C]0.18[/C][C]20.1894350604878[/C][C]0.233355291980323[/C][/ROW]
[ROW][C]0.19[/C][C]20.2483776122635[/C][C]0.262676942205045[/C][/ROW]
[ROW][C]0.2[/C][C]20.3129842037986[/C][C]0.302057743198102[/C][/ROW]
[ROW][C]0.21[/C][C]20.3853376008593[/C][C]0.35124330643198[/C][/ROW]
[ROW][C]0.22[/C][C]20.4673128053363[/C][C]0.409067363383674[/C][/ROW]
[ROW][C]0.23[/C][C]20.5604789435227[/C][C]0.473891115212349[/C][/ROW]
[ROW][C]0.24[/C][C]20.6659814798891[/C][C]0.54322097398651[/C][/ROW]
[ROW][C]0.25[/C][C]20.7844383157738[/C][C]0.614196961091802[/C][/ROW]
[ROW][C]0.26[/C][C]20.9158739885024[/C][C]0.683738079838803[/C][/ROW]
[ROW][C]0.27[/C][C]21.0597065323173[/C][C]0.748792075414009[/C][/ROW]
[ROW][C]0.28[/C][C]21.2147915885503[/C][C]0.806624883317947[/C][/ROW]
[ROW][C]0.29[/C][C]21.3795188054913[/C][C]0.85521132456211[/C][/ROW]
[ROW][C]0.3[/C][C]21.5519477374375[/C][C]0.893191600356022[/C][/ROW]
[ROW][C]0.31[/C][C]21.7299655181984[/C][C]0.920028323095667[/C][/ROW]
[ROW][C]0.32[/C][C]21.9114470986379[/C][C]0.936077584646506[/C][/ROW]
[ROW][C]0.33[/C][C]22.0944005645251[/C][C]0.942276990703866[/C][/ROW]
[ROW][C]0.34[/C][C]22.2770841334852[/C][C]0.940171941952878[/C][/ROW]
[ROW][C]0.35[/C][C]22.4580867195529[/C][C]0.931614985697385[/C][/ROW]
[ROW][C]0.36[/C][C]22.6363693341234[/C][C]0.918590500840913[/C][/ROW]
[ROW][C]0.37[/C][C]22.8112692031921[/C][C]0.903084812484257[/C][/ROW]
[ROW][C]0.38[/C][C]22.9824718260965[/C][C]0.886772288934112[/C][/ROW]
[ROW][C]0.39[/C][C]23.1499581568861[/C][C]0.871096173105249[/C][/ROW]
[ROW][C]0.4[/C][C]23.3139348437535[/C][C]0.857024439984101[/C][/ROW]
[ROW][C]0.41[/C][C]23.4747553974698[/C][C]0.845111366166196[/C][/ROW]
[ROW][C]0.42[/C][C]23.6328396993716[/C][C]0.835480485996676[/C][/ROW]
[ROW][C]0.43[/C][C]23.7885987065043[/C][C]0.827874021361544[/C][/ROW]
[ROW][C]0.44[/C][C]23.9423706371959[/C][C]0.821628797534038[/C][/ROW]
[ROW][C]0.45[/C][C]24.0943741488586[/C][C]0.815897362729775[/C][/ROW]
[ROW][C]0.46[/C][C]24.244682731739[/C][C]0.809626257297867[/C][/ROW]
[ROW][C]0.47[/C][C]24.3932224651217[/C][C]0.8019959054996[/C][/ROW]
[ROW][C]0.48[/C][C]24.5397923920499[/C][C]0.792226181052638[/C][/ROW]
[ROW][C]0.49[/C][C]24.684103409592[/C][C]0.779871879509385[/C][/ROW]
[ROW][C]0.5[/C][C]24.8258284305072[/C][C]0.764949461274208[/C][/ROW]
[ROW][C]0.51[/C][C]24.9646544953023[/C][C]0.747753427280214[/C][/ROW]
[ROW][C]0.52[/C][C]25.1003272283009[/C][C]0.728831136996244[/C][/ROW]
[ROW][C]0.53[/C][C]25.2326798690288[/C][C]0.709055157091635[/C][/ROW]
[ROW][C]0.54[/C][C]25.3616428373123[/C][C]0.689063456436463[/C][/ROW]
[ROW][C]0.55[/C][C]25.4872346115877[/C][C]0.669500572581785[/C][/ROW]
[ROW][C]0.56[/C][C]25.6095394408248[/C][C]0.650615071695363[/C][/ROW]
[ROW][C]0.57[/C][C]25.7286808265823[/C][C]0.63253804434338[/C][/ROW]
[ROW][C]0.58[/C][C]25.8448008306331[/C][C]0.615122147449415[/C][/ROW]
[ROW][C]0.59[/C][C]25.9580536635588[/C][C]0.598273768950675[/C][/ROW]
[ROW][C]0.6[/C][C]26.0686179587543[/C][C]0.58191101199058[/C][/ROW]
[ROW][C]0.61[/C][C]26.1767265565063[/C][C]0.566257553324501[/C][/ROW]
[ROW][C]0.62[/C][C]26.2827068886573[/C][C]0.551929170167469[/C][/ROW]
[ROW][C]0.63[/C][C]26.3870206707568[/C][C]0.539735109114044[/C][/ROW]
[ROW][C]0.64[/C][C]26.4902898409886[/C][C]0.530819010426818[/C][/ROW]
[ROW][C]0.65[/C][C]26.5932972248313[/C][C]0.52625811648686[/C][/ROW]
[ROW][C]0.66[/C][C]26.6969551506941[/C][C]0.526836260917753[/C][/ROW]
[ROW][C]0.67[/C][C]26.8022422649149[/C][C]0.532878170675014[/C][/ROW]
[ROW][C]0.68[/C][C]26.9101165098057[/C][C]0.543959255088385[/C][/ROW]
[ROW][C]0.69[/C][C]27.0214187640075[/C][C]0.559024780521944[/C][/ROW]
[ROW][C]0.7[/C][C]27.1367853287145[/C][C]0.576421058839322[/C][/ROW]
[ROW][C]0.71[/C][C]27.2565872867996[/C][C]0.594395681749533[/C][/ROW]
[ROW][C]0.72[/C][C]27.3809107789885[/C][C]0.611084175462191[/C][/ROW]
[ROW][C]0.73[/C][C]27.509585475048[/C][C]0.625138352386835[/C][/ROW]
[ROW][C]0.74[/C][C]27.6422607043032[/C][C]0.635640364671093[/C][/ROW]
[ROW][C]0.75[/C][C]27.7785216485466[/C][C]0.642464515012607[/C][/ROW]
[ROW][C]0.76[/C][C]27.9180328526814[/C][C]0.646174157455826[/C][/ROW]
[ROW][C]0.77[/C][C]28.06069314311[/C][C]0.648061944166647[/C][/ROW]
[ROW][C]0.78[/C][C]28.2067839292102[/C][C]0.650075342993746[/C][/ROW]
[ROW][C]0.79[/C][C]28.3570905888253[/C][C]0.654582174370184[/C][/ROW]
[ROW][C]0.8[/C][C]28.5129738025368[/C][C]0.664187048660872[/C][/ROW]
[ROW][C]0.81[/C][C]28.6763655845596[/C][C]0.681324535606036[/C][/ROW]
[ROW][C]0.82[/C][C]28.8496663928053[/C][C]0.707749570142852[/C][/ROW]
[ROW][C]0.83[/C][C]29.0355289863895[/C][C]0.743842880109171[/C][/ROW]
[ROW][C]0.84[/C][C]29.2365351624055[/C][C]0.788127883997687[/C][/ROW]
[ROW][C]0.85[/C][C]29.4548057188203[/C][C]0.837177340602175[/C][/ROW]
[ROW][C]0.86[/C][C]29.6916338813873[/C][C]0.885946860841229[/C][/ROW]
[ROW][C]0.87[/C][C]29.9472982628255[/C][C]0.928608663339093[/C][/ROW]
[ROW][C]0.88[/C][C]30.2212843091709[/C][C]0.959926633771321[/C][/ROW]
[ROW][C]0.89[/C][C]30.5131861857363[/C][C]0.977493320955783[/C][/ROW]
[ROW][C]0.9[/C][C]30.8244833503879[/C][C]0.984766302532692[/C][/ROW]
[ROW][C]0.91[/C][C]31.1610385134544[/C][C]0.994580001930399[/C][/ROW]
[ROW][C]0.92[/C][C]31.5354146395898[/C][C]1.0304418214511[/C][/ROW]
[ROW][C]0.93[/C][C]31.9670598287251[/C][C]1.11871740251806[/C][/ROW]
[ROW][C]0.94[/C][C]32.4777079074661[/C][C]1.26533681905347[/C][/ROW]
[ROW][C]0.95[/C][C]33.0802753988133[/C][C]1.42939234233489[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=286351&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=286351&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
0.0116.19009091840731.58405637120438
0.0216.90498900130131.0469145991172
0.0317.50729923477850.703839268596901
0.0417.94786629015330.622725791394295
0.0518.28799747975820.681391590712064
0.0618.5857064622170.744572390548567
0.0718.86357051671080.752351999954045
0.0819.11951557493670.696784455124615
0.0919.34403566111440.59795820216103
0.119.53074346940830.484882213843673
0.1119.67959286287650.381757059044295
0.1219.7956897502360.302114948528562
0.1319.88660970998920.248987822711298
0.1419.96006292239850.218653045082212
0.1520.02259999203490.205307932759653
0.1620.07927918130290.204490205788108
0.1720.13390209435220.214028756618948
0.1820.18943506048780.233355291980323
0.1920.24837761226350.262676942205045
0.220.31298420379860.302057743198102
0.2120.38533760085930.35124330643198
0.2220.46731280533630.409067363383674
0.2320.56047894352270.473891115212349
0.2420.66598147988910.54322097398651
0.2520.78443831577380.614196961091802
0.2620.91587398850240.683738079838803
0.2721.05970653231730.748792075414009
0.2821.21479158855030.806624883317947
0.2921.37951880549130.85521132456211
0.321.55194773743750.893191600356022
0.3121.72996551819840.920028323095667
0.3221.91144709863790.936077584646506
0.3322.09440056452510.942276990703866
0.3422.27708413348520.940171941952878
0.3522.45808671955290.931614985697385
0.3622.63636933412340.918590500840913
0.3722.81126920319210.903084812484257
0.3822.98247182609650.886772288934112
0.3923.14995815688610.871096173105249
0.423.31393484375350.857024439984101
0.4123.47475539746980.845111366166196
0.4223.63283969937160.835480485996676
0.4323.78859870650430.827874021361544
0.4423.94237063719590.821628797534038
0.4524.09437414885860.815897362729775
0.4624.2446827317390.809626257297867
0.4724.39322246512170.8019959054996
0.4824.53979239204990.792226181052638
0.4924.6841034095920.779871879509385
0.524.82582843050720.764949461274208
0.5124.96465449530230.747753427280214
0.5225.10032722830090.728831136996244
0.5325.23267986902880.709055157091635
0.5425.36164283731230.689063456436463
0.5525.48723461158770.669500572581785
0.5625.60953944082480.650615071695363
0.5725.72868082658230.63253804434338
0.5825.84480083063310.615122147449415
0.5925.95805366355880.598273768950675
0.626.06861795875430.58191101199058
0.6126.17672655650630.566257553324501
0.6226.28270688865730.551929170167469
0.6326.38702067075680.539735109114044
0.6426.49028984098860.530819010426818
0.6526.59329722483130.52625811648686
0.6626.69695515069410.526836260917753
0.6726.80224226491490.532878170675014
0.6826.91011650980570.543959255088385
0.6927.02141876400750.559024780521944
0.727.13678532871450.576421058839322
0.7127.25658728679960.594395681749533
0.7227.38091077898850.611084175462191
0.7327.5095854750480.625138352386835
0.7427.64226070430320.635640364671093
0.7527.77852164854660.642464515012607
0.7627.91803285268140.646174157455826
0.7728.060693143110.648061944166647
0.7828.20678392921020.650075342993746
0.7928.35709058882530.654582174370184
0.828.51297380253680.664187048660872
0.8128.67636558455960.681324535606036
0.8228.84966639280530.707749570142852
0.8329.03552898638950.743842880109171
0.8429.23653516240550.788127883997687
0.8529.45480571882030.837177340602175
0.8629.69163388138730.885946860841229
0.8729.94729826282550.928608663339093
0.8830.22128430917090.959926633771321
0.8930.51318618573630.977493320955783
0.930.82448335038790.984766302532692
0.9131.16103851345440.994580001930399
0.9231.53541463958981.0304418214511
0.9331.96705982872511.11871740251806
0.9432.47770790746611.26533681905347
0.9533.08027539881331.42939234233489


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.95 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.95 ; 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')