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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 03 Jan 2016 10:06:17 +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/Jan/03/t14518156810f62idgww17i1du.htm/, Retrieved Fri, 17 May 2024 04:49:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=287282, Retrieved Fri, 17 May 2024 04:49:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact127
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [] [2015-09-25 19:44:43] [ba9845715efdcdf5bf90594b26d5ea9c]
- R PD  [Univariate Data Series] [] [2015-10-02 11:08:09] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMP     [Histogram] [] [2015-10-02 11:09:44] [ba9845715efdcdf5bf90594b26d5ea9c]
- RMPD        [Harrell-Davis Quantiles] [] [2016-01-03 10:06:17] [eed3b94f44ab74d862a61d666a631b56] [Current]
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Post a new message
Dataseries X:
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100,4
100,4
100,4
100,4
100,4
100,4
100,4
100,4
100,4
100,4
101,4
101,4
102
102
102,6
102,6
102,6
102,6
102,6
102,6
102,3
102,4
102,4
102,4
102,9
102,9
102,9
104,9
104,9
105,5
105,5
105,5
105,5
105,5
105,5
105,5




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=287282&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=287282&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=287282&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011000
0.021000
0.031000
0.04100.0000000000030
0.05100.0000000000190
0.06100.0000000000930
0.07100.0000000004080
0.08100.0000000016170
0.09100.000000005860
0.1100.0000000195920
0.11100.0000000609340
0.12100.0000001774330
0.13100.0000004863170
0.14100.0000012602282.8709240298808e-05
0.15100.0000030992862.8709240298808e-05
0.16100.0000072571595.74184805976159e-05
0.17100.000016225155.74184805976159e-05
0.18100.000034721850.000172255441792848
0.19100.000071278890.00028709240298808
0.2100.0001406412790.000574184805976159
0.21100.0002671918330.00100482341045828
0.22100.0004895365530.00175126365822729
0.23100.0008662262520.00292834251047841
0.24100.001482325330.00473702464930331
0.25100.0024561811910.00737827475679364
0.26100.0039453417660.0111678944762363
0.27100.006150197120.0163355577300217
0.28100.0093136993740.023189100285753
0.29100.0137155692190.0318879976647877
0.3100.0196598302390.0425311639839193
0.31100.0274553652620.0550691415462208
0.32100.0373904076120.0693632655317872
0.33100.0497032997140.0849032004982067
0.34100.0645532117970.101142322270193
0.35100.0819955034330.117277284623699
0.36100.1019667386670.132533491592558
0.37100.1242838343580.146110368798847
0.38100.1486603898880.157371542521742
0.39100.1747410561570.165986098438902
0.4100.2021521592840.171839708368517
0.41100.2305641131690.175415739191418
0.42100.2597588715410.177610359993455
0.43100.2896941590170.17976598749893
0.44100.3205557305490.183787054484321
0.45100.3527895321220.191809574100834
0.46100.3871073153430.205908432706799
0.47100.4244618178720.227787041420574
0.48100.4659908021110.258242636788451
0.49100.5129327370280.297278163074567
0.5100.5665203696950.344049655692365
0.51100.6278614962740.397088571750624
0.52100.6978185265640.454128779019847
0.53100.7768995801010.512507097149828
0.54100.8651735658550.569224510752041
0.55100.9622198368970.621186985206322
0.56101.0671196446750.665289813784724
0.57101.1784920682990.699012592405759
0.58101.2945719309950.720420112990635
0.59101.413322180450.728290357432072
0.6101.5325690929120.722325696319434
0.61101.6501461491890.70324283368353
0.62101.7640319634310.672252265448563
0.63101.872469315610.63161071610629
0.64101.974055864790.583633204169793
0.65102.0678018973440.531074194512911
0.66102.1531556796810.476571339447049
0.67102.2300017725710.42254643311907
0.68102.2986412582650.371320852533919
0.69102.3597646848820.324694127525552
0.7102.4144283682940.284495968199529
0.71102.4640424859620.25229675707772
0.72102.5103753056350.229965289421479
0.73102.5555721740570.219648285434043
0.74102.6021808953250.223850725676779
0.75102.6531674034130.244791591665762
0.76102.7118981708510.283922296595344
0.77102.7820603263240.341952381582976
0.78102.8674895830490.418175014640165
0.79102.9718829837160.510806129570152
0.8103.0983909204280.615918000699015
0.81103.2491116403780.727274293827672
0.82103.4245484066720.836225184451036
0.83103.6231265841710.93218262174124
0.84103.840892751341.00383151223907
0.85104.0715168037021.04094251320627
0.86104.3066810992131.03616018196177
0.87104.536867721560.986822253721044
0.88104.7524587197290.896006107787362
0.89104.9449696815380.772391721039612
0.9105.1081749476930.62902347604135
0.91105.2388793360250.48103738264404
0.92105.337157269390.342726471766441
0.93105.4060043564940.225235988391828
0.94105.4504956142820.134684945584161
0.95105.4766723366680.0718993378954595
0.96105.4904419769490.0333151141859456
0.97105.4967479642280.0127927436665488
0.98105.4991575412090.00372901712185795
0.99105.4998674989850.000658144071127241

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100 & 0 \tabularnewline
0.02 & 100 & 0 \tabularnewline
0.03 & 100 & 0 \tabularnewline
0.04 & 100.000000000003 & 0 \tabularnewline
0.05 & 100.000000000019 & 0 \tabularnewline
0.06 & 100.000000000093 & 0 \tabularnewline
0.07 & 100.000000000408 & 0 \tabularnewline
0.08 & 100.000000001617 & 0 \tabularnewline
0.09 & 100.00000000586 & 0 \tabularnewline
0.1 & 100.000000019592 & 0 \tabularnewline
0.11 & 100.000000060934 & 0 \tabularnewline
0.12 & 100.000000177433 & 0 \tabularnewline
0.13 & 100.000000486317 & 0 \tabularnewline
0.14 & 100.000001260228 & 2.8709240298808e-05 \tabularnewline
0.15 & 100.000003099286 & 2.8709240298808e-05 \tabularnewline
0.16 & 100.000007257159 & 5.74184805976159e-05 \tabularnewline
0.17 & 100.00001622515 & 5.74184805976159e-05 \tabularnewline
0.18 & 100.00003472185 & 0.000172255441792848 \tabularnewline
0.19 & 100.00007127889 & 0.00028709240298808 \tabularnewline
0.2 & 100.000140641279 & 0.000574184805976159 \tabularnewline
0.21 & 100.000267191833 & 0.00100482341045828 \tabularnewline
0.22 & 100.000489536553 & 0.00175126365822729 \tabularnewline
0.23 & 100.000866226252 & 0.00292834251047841 \tabularnewline
0.24 & 100.00148232533 & 0.00473702464930331 \tabularnewline
0.25 & 100.002456181191 & 0.00737827475679364 \tabularnewline
0.26 & 100.003945341766 & 0.0111678944762363 \tabularnewline
0.27 & 100.00615019712 & 0.0163355577300217 \tabularnewline
0.28 & 100.009313699374 & 0.023189100285753 \tabularnewline
0.29 & 100.013715569219 & 0.0318879976647877 \tabularnewline
0.3 & 100.019659830239 & 0.0425311639839193 \tabularnewline
0.31 & 100.027455365262 & 0.0550691415462208 \tabularnewline
0.32 & 100.037390407612 & 0.0693632655317872 \tabularnewline
0.33 & 100.049703299714 & 0.0849032004982067 \tabularnewline
0.34 & 100.064553211797 & 0.101142322270193 \tabularnewline
0.35 & 100.081995503433 & 0.117277284623699 \tabularnewline
0.36 & 100.101966738667 & 0.132533491592558 \tabularnewline
0.37 & 100.124283834358 & 0.146110368798847 \tabularnewline
0.38 & 100.148660389888 & 0.157371542521742 \tabularnewline
0.39 & 100.174741056157 & 0.165986098438902 \tabularnewline
0.4 & 100.202152159284 & 0.171839708368517 \tabularnewline
0.41 & 100.230564113169 & 0.175415739191418 \tabularnewline
0.42 & 100.259758871541 & 0.177610359993455 \tabularnewline
0.43 & 100.289694159017 & 0.17976598749893 \tabularnewline
0.44 & 100.320555730549 & 0.183787054484321 \tabularnewline
0.45 & 100.352789532122 & 0.191809574100834 \tabularnewline
0.46 & 100.387107315343 & 0.205908432706799 \tabularnewline
0.47 & 100.424461817872 & 0.227787041420574 \tabularnewline
0.48 & 100.465990802111 & 0.258242636788451 \tabularnewline
0.49 & 100.512932737028 & 0.297278163074567 \tabularnewline
0.5 & 100.566520369695 & 0.344049655692365 \tabularnewline
0.51 & 100.627861496274 & 0.397088571750624 \tabularnewline
0.52 & 100.697818526564 & 0.454128779019847 \tabularnewline
0.53 & 100.776899580101 & 0.512507097149828 \tabularnewline
0.54 & 100.865173565855 & 0.569224510752041 \tabularnewline
0.55 & 100.962219836897 & 0.621186985206322 \tabularnewline
0.56 & 101.067119644675 & 0.665289813784724 \tabularnewline
0.57 & 101.178492068299 & 0.699012592405759 \tabularnewline
0.58 & 101.294571930995 & 0.720420112990635 \tabularnewline
0.59 & 101.41332218045 & 0.728290357432072 \tabularnewline
0.6 & 101.532569092912 & 0.722325696319434 \tabularnewline
0.61 & 101.650146149189 & 0.70324283368353 \tabularnewline
0.62 & 101.764031963431 & 0.672252265448563 \tabularnewline
0.63 & 101.87246931561 & 0.63161071610629 \tabularnewline
0.64 & 101.97405586479 & 0.583633204169793 \tabularnewline
0.65 & 102.067801897344 & 0.531074194512911 \tabularnewline
0.66 & 102.153155679681 & 0.476571339447049 \tabularnewline
0.67 & 102.230001772571 & 0.42254643311907 \tabularnewline
0.68 & 102.298641258265 & 0.371320852533919 \tabularnewline
0.69 & 102.359764684882 & 0.324694127525552 \tabularnewline
0.7 & 102.414428368294 & 0.284495968199529 \tabularnewline
0.71 & 102.464042485962 & 0.25229675707772 \tabularnewline
0.72 & 102.510375305635 & 0.229965289421479 \tabularnewline
0.73 & 102.555572174057 & 0.219648285434043 \tabularnewline
0.74 & 102.602180895325 & 0.223850725676779 \tabularnewline
0.75 & 102.653167403413 & 0.244791591665762 \tabularnewline
0.76 & 102.711898170851 & 0.283922296595344 \tabularnewline
0.77 & 102.782060326324 & 0.341952381582976 \tabularnewline
0.78 & 102.867489583049 & 0.418175014640165 \tabularnewline
0.79 & 102.971882983716 & 0.510806129570152 \tabularnewline
0.8 & 103.098390920428 & 0.615918000699015 \tabularnewline
0.81 & 103.249111640378 & 0.727274293827672 \tabularnewline
0.82 & 103.424548406672 & 0.836225184451036 \tabularnewline
0.83 & 103.623126584171 & 0.93218262174124 \tabularnewline
0.84 & 103.84089275134 & 1.00383151223907 \tabularnewline
0.85 & 104.071516803702 & 1.04094251320627 \tabularnewline
0.86 & 104.306681099213 & 1.03616018196177 \tabularnewline
0.87 & 104.53686772156 & 0.986822253721044 \tabularnewline
0.88 & 104.752458719729 & 0.896006107787362 \tabularnewline
0.89 & 104.944969681538 & 0.772391721039612 \tabularnewline
0.9 & 105.108174947693 & 0.62902347604135 \tabularnewline
0.91 & 105.238879336025 & 0.48103738264404 \tabularnewline
0.92 & 105.33715726939 & 0.342726471766441 \tabularnewline
0.93 & 105.406004356494 & 0.225235988391828 \tabularnewline
0.94 & 105.450495614282 & 0.134684945584161 \tabularnewline
0.95 & 105.476672336668 & 0.0718993378954595 \tabularnewline
0.96 & 105.490441976949 & 0.0333151141859456 \tabularnewline
0.97 & 105.496747964228 & 0.0127927436665488 \tabularnewline
0.98 & 105.499157541209 & 0.00372901712185795 \tabularnewline
0.99 & 105.499867498985 & 0.000658144071127241 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=287282&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]100[/C][C]0[/C][/ROW]
[ROW][C]0.02[/C][C]100[/C][C]0[/C][/ROW]
[ROW][C]0.03[/C][C]100[/C][C]0[/C][/ROW]
[ROW][C]0.04[/C][C]100.000000000003[/C][C]0[/C][/ROW]
[ROW][C]0.05[/C][C]100.000000000019[/C][C]0[/C][/ROW]
[ROW][C]0.06[/C][C]100.000000000093[/C][C]0[/C][/ROW]
[ROW][C]0.07[/C][C]100.000000000408[/C][C]0[/C][/ROW]
[ROW][C]0.08[/C][C]100.000000001617[/C][C]0[/C][/ROW]
[ROW][C]0.09[/C][C]100.00000000586[/C][C]0[/C][/ROW]
[ROW][C]0.1[/C][C]100.000000019592[/C][C]0[/C][/ROW]
[ROW][C]0.11[/C][C]100.000000060934[/C][C]0[/C][/ROW]
[ROW][C]0.12[/C][C]100.000000177433[/C][C]0[/C][/ROW]
[ROW][C]0.13[/C][C]100.000000486317[/C][C]0[/C][/ROW]
[ROW][C]0.14[/C][C]100.000001260228[/C][C]2.8709240298808e-05[/C][/ROW]
[ROW][C]0.15[/C][C]100.000003099286[/C][C]2.8709240298808e-05[/C][/ROW]
[ROW][C]0.16[/C][C]100.000007257159[/C][C]5.74184805976159e-05[/C][/ROW]
[ROW][C]0.17[/C][C]100.00001622515[/C][C]5.74184805976159e-05[/C][/ROW]
[ROW][C]0.18[/C][C]100.00003472185[/C][C]0.000172255441792848[/C][/ROW]
[ROW][C]0.19[/C][C]100.00007127889[/C][C]0.00028709240298808[/C][/ROW]
[ROW][C]0.2[/C][C]100.000140641279[/C][C]0.000574184805976159[/C][/ROW]
[ROW][C]0.21[/C][C]100.000267191833[/C][C]0.00100482341045828[/C][/ROW]
[ROW][C]0.22[/C][C]100.000489536553[/C][C]0.00175126365822729[/C][/ROW]
[ROW][C]0.23[/C][C]100.000866226252[/C][C]0.00292834251047841[/C][/ROW]
[ROW][C]0.24[/C][C]100.00148232533[/C][C]0.00473702464930331[/C][/ROW]
[ROW][C]0.25[/C][C]100.002456181191[/C][C]0.00737827475679364[/C][/ROW]
[ROW][C]0.26[/C][C]100.003945341766[/C][C]0.0111678944762363[/C][/ROW]
[ROW][C]0.27[/C][C]100.00615019712[/C][C]0.0163355577300217[/C][/ROW]
[ROW][C]0.28[/C][C]100.009313699374[/C][C]0.023189100285753[/C][/ROW]
[ROW][C]0.29[/C][C]100.013715569219[/C][C]0.0318879976647877[/C][/ROW]
[ROW][C]0.3[/C][C]100.019659830239[/C][C]0.0425311639839193[/C][/ROW]
[ROW][C]0.31[/C][C]100.027455365262[/C][C]0.0550691415462208[/C][/ROW]
[ROW][C]0.32[/C][C]100.037390407612[/C][C]0.0693632655317872[/C][/ROW]
[ROW][C]0.33[/C][C]100.049703299714[/C][C]0.0849032004982067[/C][/ROW]
[ROW][C]0.34[/C][C]100.064553211797[/C][C]0.101142322270193[/C][/ROW]
[ROW][C]0.35[/C][C]100.081995503433[/C][C]0.117277284623699[/C][/ROW]
[ROW][C]0.36[/C][C]100.101966738667[/C][C]0.132533491592558[/C][/ROW]
[ROW][C]0.37[/C][C]100.124283834358[/C][C]0.146110368798847[/C][/ROW]
[ROW][C]0.38[/C][C]100.148660389888[/C][C]0.157371542521742[/C][/ROW]
[ROW][C]0.39[/C][C]100.174741056157[/C][C]0.165986098438902[/C][/ROW]
[ROW][C]0.4[/C][C]100.202152159284[/C][C]0.171839708368517[/C][/ROW]
[ROW][C]0.41[/C][C]100.230564113169[/C][C]0.175415739191418[/C][/ROW]
[ROW][C]0.42[/C][C]100.259758871541[/C][C]0.177610359993455[/C][/ROW]
[ROW][C]0.43[/C][C]100.289694159017[/C][C]0.17976598749893[/C][/ROW]
[ROW][C]0.44[/C][C]100.320555730549[/C][C]0.183787054484321[/C][/ROW]
[ROW][C]0.45[/C][C]100.352789532122[/C][C]0.191809574100834[/C][/ROW]
[ROW][C]0.46[/C][C]100.387107315343[/C][C]0.205908432706799[/C][/ROW]
[ROW][C]0.47[/C][C]100.424461817872[/C][C]0.227787041420574[/C][/ROW]
[ROW][C]0.48[/C][C]100.465990802111[/C][C]0.258242636788451[/C][/ROW]
[ROW][C]0.49[/C][C]100.512932737028[/C][C]0.297278163074567[/C][/ROW]
[ROW][C]0.5[/C][C]100.566520369695[/C][C]0.344049655692365[/C][/ROW]
[ROW][C]0.51[/C][C]100.627861496274[/C][C]0.397088571750624[/C][/ROW]
[ROW][C]0.52[/C][C]100.697818526564[/C][C]0.454128779019847[/C][/ROW]
[ROW][C]0.53[/C][C]100.776899580101[/C][C]0.512507097149828[/C][/ROW]
[ROW][C]0.54[/C][C]100.865173565855[/C][C]0.569224510752041[/C][/ROW]
[ROW][C]0.55[/C][C]100.962219836897[/C][C]0.621186985206322[/C][/ROW]
[ROW][C]0.56[/C][C]101.067119644675[/C][C]0.665289813784724[/C][/ROW]
[ROW][C]0.57[/C][C]101.178492068299[/C][C]0.699012592405759[/C][/ROW]
[ROW][C]0.58[/C][C]101.294571930995[/C][C]0.720420112990635[/C][/ROW]
[ROW][C]0.59[/C][C]101.41332218045[/C][C]0.728290357432072[/C][/ROW]
[ROW][C]0.6[/C][C]101.532569092912[/C][C]0.722325696319434[/C][/ROW]
[ROW][C]0.61[/C][C]101.650146149189[/C][C]0.70324283368353[/C][/ROW]
[ROW][C]0.62[/C][C]101.764031963431[/C][C]0.672252265448563[/C][/ROW]
[ROW][C]0.63[/C][C]101.87246931561[/C][C]0.63161071610629[/C][/ROW]
[ROW][C]0.64[/C][C]101.97405586479[/C][C]0.583633204169793[/C][/ROW]
[ROW][C]0.65[/C][C]102.067801897344[/C][C]0.531074194512911[/C][/ROW]
[ROW][C]0.66[/C][C]102.153155679681[/C][C]0.476571339447049[/C][/ROW]
[ROW][C]0.67[/C][C]102.230001772571[/C][C]0.42254643311907[/C][/ROW]
[ROW][C]0.68[/C][C]102.298641258265[/C][C]0.371320852533919[/C][/ROW]
[ROW][C]0.69[/C][C]102.359764684882[/C][C]0.324694127525552[/C][/ROW]
[ROW][C]0.7[/C][C]102.414428368294[/C][C]0.284495968199529[/C][/ROW]
[ROW][C]0.71[/C][C]102.464042485962[/C][C]0.25229675707772[/C][/ROW]
[ROW][C]0.72[/C][C]102.510375305635[/C][C]0.229965289421479[/C][/ROW]
[ROW][C]0.73[/C][C]102.555572174057[/C][C]0.219648285434043[/C][/ROW]
[ROW][C]0.74[/C][C]102.602180895325[/C][C]0.223850725676779[/C][/ROW]
[ROW][C]0.75[/C][C]102.653167403413[/C][C]0.244791591665762[/C][/ROW]
[ROW][C]0.76[/C][C]102.711898170851[/C][C]0.283922296595344[/C][/ROW]
[ROW][C]0.77[/C][C]102.782060326324[/C][C]0.341952381582976[/C][/ROW]
[ROW][C]0.78[/C][C]102.867489583049[/C][C]0.418175014640165[/C][/ROW]
[ROW][C]0.79[/C][C]102.971882983716[/C][C]0.510806129570152[/C][/ROW]
[ROW][C]0.8[/C][C]103.098390920428[/C][C]0.615918000699015[/C][/ROW]
[ROW][C]0.81[/C][C]103.249111640378[/C][C]0.727274293827672[/C][/ROW]
[ROW][C]0.82[/C][C]103.424548406672[/C][C]0.836225184451036[/C][/ROW]
[ROW][C]0.83[/C][C]103.623126584171[/C][C]0.93218262174124[/C][/ROW]
[ROW][C]0.84[/C][C]103.84089275134[/C][C]1.00383151223907[/C][/ROW]
[ROW][C]0.85[/C][C]104.071516803702[/C][C]1.04094251320627[/C][/ROW]
[ROW][C]0.86[/C][C]104.306681099213[/C][C]1.03616018196177[/C][/ROW]
[ROW][C]0.87[/C][C]104.53686772156[/C][C]0.986822253721044[/C][/ROW]
[ROW][C]0.88[/C][C]104.752458719729[/C][C]0.896006107787362[/C][/ROW]
[ROW][C]0.89[/C][C]104.944969681538[/C][C]0.772391721039612[/C][/ROW]
[ROW][C]0.9[/C][C]105.108174947693[/C][C]0.62902347604135[/C][/ROW]
[ROW][C]0.91[/C][C]105.238879336025[/C][C]0.48103738264404[/C][/ROW]
[ROW][C]0.92[/C][C]105.33715726939[/C][C]0.342726471766441[/C][/ROW]
[ROW][C]0.93[/C][C]105.406004356494[/C][C]0.225235988391828[/C][/ROW]
[ROW][C]0.94[/C][C]105.450495614282[/C][C]0.134684945584161[/C][/ROW]
[ROW][C]0.95[/C][C]105.476672336668[/C][C]0.0718993378954595[/C][/ROW]
[ROW][C]0.96[/C][C]105.490441976949[/C][C]0.0333151141859456[/C][/ROW]
[ROW][C]0.97[/C][C]105.496747964228[/C][C]0.0127927436665488[/C][/ROW]
[ROW][C]0.98[/C][C]105.499157541209[/C][C]0.00372901712185795[/C][/ROW]
[ROW][C]0.99[/C][C]105.499867498985[/C][C]0.000658144071127241[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=287282&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=287282&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011000
0.021000
0.031000
0.04100.0000000000030
0.05100.0000000000190
0.06100.0000000000930
0.07100.0000000004080
0.08100.0000000016170
0.09100.000000005860
0.1100.0000000195920
0.11100.0000000609340
0.12100.0000001774330
0.13100.0000004863170
0.14100.0000012602282.8709240298808e-05
0.15100.0000030992862.8709240298808e-05
0.16100.0000072571595.74184805976159e-05
0.17100.000016225155.74184805976159e-05
0.18100.000034721850.000172255441792848
0.19100.000071278890.00028709240298808
0.2100.0001406412790.000574184805976159
0.21100.0002671918330.00100482341045828
0.22100.0004895365530.00175126365822729
0.23100.0008662262520.00292834251047841
0.24100.001482325330.00473702464930331
0.25100.0024561811910.00737827475679364
0.26100.0039453417660.0111678944762363
0.27100.006150197120.0163355577300217
0.28100.0093136993740.023189100285753
0.29100.0137155692190.0318879976647877
0.3100.0196598302390.0425311639839193
0.31100.0274553652620.0550691415462208
0.32100.0373904076120.0693632655317872
0.33100.0497032997140.0849032004982067
0.34100.0645532117970.101142322270193
0.35100.0819955034330.117277284623699
0.36100.1019667386670.132533491592558
0.37100.1242838343580.146110368798847
0.38100.1486603898880.157371542521742
0.39100.1747410561570.165986098438902
0.4100.2021521592840.171839708368517
0.41100.2305641131690.175415739191418
0.42100.2597588715410.177610359993455
0.43100.2896941590170.17976598749893
0.44100.3205557305490.183787054484321
0.45100.3527895321220.191809574100834
0.46100.3871073153430.205908432706799
0.47100.4244618178720.227787041420574
0.48100.4659908021110.258242636788451
0.49100.5129327370280.297278163074567
0.5100.5665203696950.344049655692365
0.51100.6278614962740.397088571750624
0.52100.6978185265640.454128779019847
0.53100.7768995801010.512507097149828
0.54100.8651735658550.569224510752041
0.55100.9622198368970.621186985206322
0.56101.0671196446750.665289813784724
0.57101.1784920682990.699012592405759
0.58101.2945719309950.720420112990635
0.59101.413322180450.728290357432072
0.6101.5325690929120.722325696319434
0.61101.6501461491890.70324283368353
0.62101.7640319634310.672252265448563
0.63101.872469315610.63161071610629
0.64101.974055864790.583633204169793
0.65102.0678018973440.531074194512911
0.66102.1531556796810.476571339447049
0.67102.2300017725710.42254643311907
0.68102.2986412582650.371320852533919
0.69102.3597646848820.324694127525552
0.7102.4144283682940.284495968199529
0.71102.4640424859620.25229675707772
0.72102.5103753056350.229965289421479
0.73102.5555721740570.219648285434043
0.74102.6021808953250.223850725676779
0.75102.6531674034130.244791591665762
0.76102.7118981708510.283922296595344
0.77102.7820603263240.341952381582976
0.78102.8674895830490.418175014640165
0.79102.9718829837160.510806129570152
0.8103.0983909204280.615918000699015
0.81103.2491116403780.727274293827672
0.82103.4245484066720.836225184451036
0.83103.6231265841710.93218262174124
0.84103.840892751341.00383151223907
0.85104.0715168037021.04094251320627
0.86104.3066810992131.03616018196177
0.87104.536867721560.986822253721044
0.88104.7524587197290.896006107787362
0.89104.9449696815380.772391721039612
0.9105.1081749476930.62902347604135
0.91105.2388793360250.48103738264404
0.92105.337157269390.342726471766441
0.93105.4060043564940.225235988391828
0.94105.4504956142820.134684945584161
0.95105.4766723366680.0718993378954595
0.96105.4904419769490.0333151141859456
0.97105.4967479642280.0127927436665488
0.98105.4991575412090.00372901712185795
0.99105.4998674989850.000658144071127241



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')