FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 11 Oct 2011 13:46:43 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/11/t131835530488e0ncq5tganbp4.htm/, Retrieved Sat, 11 May 2024 13:06:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128173, Retrieved Sat, 11 May 2024 13:06:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact97

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] [Gemiddelde consum...] [2011-10-11 17:46:43] [c0f35385ddfb9717cc41b82f2b64d087] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
49.98
50.12
50.37
50.39
50.34
50.32
50.32
50.32
50.67
50.86
50.95
51.02
51.02
51.06
50.9
51.23
51.29
51.3
51.3
51.3
51.46
51.47
51.77
51.82
51.82
51.84
51.9
51.94
52.22
52.27
52.27
52.28
52.53
52.73
52.72
52.67
52.67
52.65
52.69
52.73
52.84
52.83
52.83
52.84
52.82
53.09
53.4
53.43
53.43
53.42
53.6
53.69
54.05
54.04
54.04
54.08
54.05
54.39
54.38
54.46

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128173&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128173&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128173&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0150.01959867540210.140367895839947
0.0250.08105628668830.140535331968164
0.0350.14754828749380.130426826903338
0.0450.20724642468250.110438574783607
0.0550.25577650062780.089114324805091
0.0650.29421730153130.0768577788566547
0.0750.32636345208860.0803960862948699
0.0850.35663378962260.0986115429664838
0.0950.38881292997880.125949934532841
0.150.42546132870010.1571894407786
0.1150.46777972481940.187904767263679
0.1250.51574866157290.214437301475725
0.1350.56841645083930.234219175592684
0.1450.62425106681260.245833173582356
0.1550.68149480957560.249344120443188
0.1650.7384728044030.245827269092746
0.1750.79381879991720.23731838262002
0.1850.84659956039890.226080318530467
0.1950.8963401624820.214294527114575
0.250.94297084662810.203594901211723
0.2150.98672676406210.195066471933205
0.2251.02803328889260.189025351152649
0.2351.0674031036540.185472342153564
0.2451.10536050584530.184065603396767
0.2551.14239711224690.184527241477209
0.2651.17895426402980.186610617814887
0.2751.21542246455050.19028204515408
0.2851.25214725053750.19546087066555
0.2951.28943313389220.202187139798924
0.351.32754124897850.210386312008811
0.3151.36668060975870.219555536628326
0.3251.40699620254650.229368260347169
0.3351.44855878148340.239127537565404
0.3451.49136102592190.248327195244955
0.3551.53532299692530.256444053872174
0.3651.58030727154930.263201414138653
0.3751.62614153987280.268506023380157
0.3851.67264452795560.272462051375256
0.3951.71965030642050.275318591285938
0.451.76702646571370.277544054015803
0.4151.81468306944850.279443686876045
0.4251.86257129644580.281415869286038
0.4351.91067272867230.283495251043688
0.4451.95898187762840.285754057784796
0.4552.007485476370.287981749334138
0.4652.0561422226130.289928540021571
0.4752.10486615774980.291128224053035
0.4852.15351594776260.291160361056716
0.4952.2018912677650.28971346899465
0.552.24973650625290.286426617694255
0.5152.29675122594080.281058985069582
0.5252.34260627225650.273393336670846
0.5352.38696406590030.263585653103379
0.5452.42950139003010.251648713645399
0.5552.4699328478080.237885437259946
0.5652.5080331303730.222717688445583
0.5752.54365634414570.206661491811671
0.5852.57675094885650.190326439726014
0.5952.60736936418740.174338750912303
0.652.6356719531970.159467346286575
0.6152.66192574885070.146288381168197
0.6252.68649877341210.135477900344041
0.6352.70985093780240.12758595875197
0.6452.73252220997930.12311194829845
0.6552.75511806096840.122455523630838
0.6652.77829135527980.125876278578899
0.6752.80271920962580.133351319814376
0.6852.82907331248860.144813751180987
0.6952.85798310482550.159724358743134
0.752.88999315815190.177355656257584
0.7152.92551877719750.196747493040162
0.7252.96480662616090.216667832350829
0.7353.00790904697950.23581681089486
0.7453.05468065036720.252897231080104
0.7553.10480294225150.266889682121114
0.7653.15783708931580.277050902028173
0.7753.21329726457370.283372022563119
0.7853.27072918195340.286297217904241
0.7953.32977297819770.28677661914275
0.853.3901891692140.286069822865149
0.8153.45183285034050.285181313674515
0.8253.5145747962640.284507676423673
0.8353.57818649800770.283691292547257
0.8453.64222490078610.28131646185876
0.8553.70596537687460.275569756985819
0.8653.76843160397520.264725186798166
0.8753.82855332689030.247824295921909
0.8853.88544577163350.225444041853827
0.8953.93875163257980.199726917928623
0.953.98892981336490.174726570898208
0.9154.03733666653990.155530168463924
0.9254.08595865421770.146718898451143
0.9354.1367562072920.148654800533815
0.9454.190777062990.155211236235331
0.9554.24742462724940.156660708617202
0.9654.30433415313430.144970565263904
0.9754.35798483377020.119128539210471
0.9854.4045050720950.0887899134235238
0.9954.43986851489890.0706379166901912

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 50.0195986754021 & 0.140367895839947 \tabularnewline
0.02 & 50.0810562866883 & 0.140535331968164 \tabularnewline
0.03 & 50.1475482874938 & 0.130426826903338 \tabularnewline
0.04 & 50.2072464246825 & 0.110438574783607 \tabularnewline
0.05 & 50.2557765006278 & 0.089114324805091 \tabularnewline
0.06 & 50.2942173015313 & 0.0768577788566547 \tabularnewline
0.07 & 50.3263634520886 & 0.0803960862948699 \tabularnewline
0.08 & 50.3566337896226 & 0.0986115429664838 \tabularnewline
0.09 & 50.3888129299788 & 0.125949934532841 \tabularnewline
0.1 & 50.4254613287001 & 0.1571894407786 \tabularnewline
0.11 & 50.4677797248194 & 0.187904767263679 \tabularnewline
0.12 & 50.5157486615729 & 0.214437301475725 \tabularnewline
0.13 & 50.5684164508393 & 0.234219175592684 \tabularnewline
0.14 & 50.6242510668126 & 0.245833173582356 \tabularnewline
0.15 & 50.6814948095756 & 0.249344120443188 \tabularnewline
0.16 & 50.738472804403 & 0.245827269092746 \tabularnewline
0.17 & 50.7938187999172 & 0.23731838262002 \tabularnewline
0.18 & 50.8465995603989 & 0.226080318530467 \tabularnewline
0.19 & 50.896340162482 & 0.214294527114575 \tabularnewline
0.2 & 50.9429708466281 & 0.203594901211723 \tabularnewline
0.21 & 50.9867267640621 & 0.195066471933205 \tabularnewline
0.22 & 51.0280332888926 & 0.189025351152649 \tabularnewline
0.23 & 51.067403103654 & 0.185472342153564 \tabularnewline
0.24 & 51.1053605058453 & 0.184065603396767 \tabularnewline
0.25 & 51.1423971122469 & 0.184527241477209 \tabularnewline
0.26 & 51.1789542640298 & 0.186610617814887 \tabularnewline
0.27 & 51.2154224645505 & 0.19028204515408 \tabularnewline
0.28 & 51.2521472505375 & 0.19546087066555 \tabularnewline
0.29 & 51.2894331338922 & 0.202187139798924 \tabularnewline
0.3 & 51.3275412489785 & 0.210386312008811 \tabularnewline
0.31 & 51.3666806097587 & 0.219555536628326 \tabularnewline
0.32 & 51.4069962025465 & 0.229368260347169 \tabularnewline
0.33 & 51.4485587814834 & 0.239127537565404 \tabularnewline
0.34 & 51.4913610259219 & 0.248327195244955 \tabularnewline
0.35 & 51.5353229969253 & 0.256444053872174 \tabularnewline
0.36 & 51.5803072715493 & 0.263201414138653 \tabularnewline
0.37 & 51.6261415398728 & 0.268506023380157 \tabularnewline
0.38 & 51.6726445279556 & 0.272462051375256 \tabularnewline
0.39 & 51.7196503064205 & 0.275318591285938 \tabularnewline
0.4 & 51.7670264657137 & 0.277544054015803 \tabularnewline
0.41 & 51.8146830694485 & 0.279443686876045 \tabularnewline
0.42 & 51.8625712964458 & 0.281415869286038 \tabularnewline
0.43 & 51.9106727286723 & 0.283495251043688 \tabularnewline
0.44 & 51.9589818776284 & 0.285754057784796 \tabularnewline
0.45 & 52.00748547637 & 0.287981749334138 \tabularnewline
0.46 & 52.056142222613 & 0.289928540021571 \tabularnewline
0.47 & 52.1048661577498 & 0.291128224053035 \tabularnewline
0.48 & 52.1535159477626 & 0.291160361056716 \tabularnewline
0.49 & 52.201891267765 & 0.28971346899465 \tabularnewline
0.5 & 52.2497365062529 & 0.286426617694255 \tabularnewline
0.51 & 52.2967512259408 & 0.281058985069582 \tabularnewline
0.52 & 52.3426062722565 & 0.273393336670846 \tabularnewline
0.53 & 52.3869640659003 & 0.263585653103379 \tabularnewline
0.54 & 52.4295013900301 & 0.251648713645399 \tabularnewline
0.55 & 52.469932847808 & 0.237885437259946 \tabularnewline
0.56 & 52.508033130373 & 0.222717688445583 \tabularnewline
0.57 & 52.5436563441457 & 0.206661491811671 \tabularnewline
0.58 & 52.5767509488565 & 0.190326439726014 \tabularnewline
0.59 & 52.6073693641874 & 0.174338750912303 \tabularnewline
0.6 & 52.635671953197 & 0.159467346286575 \tabularnewline
0.61 & 52.6619257488507 & 0.146288381168197 \tabularnewline
0.62 & 52.6864987734121 & 0.135477900344041 \tabularnewline
0.63 & 52.7098509378024 & 0.12758595875197 \tabularnewline
0.64 & 52.7325222099793 & 0.12311194829845 \tabularnewline
0.65 & 52.7551180609684 & 0.122455523630838 \tabularnewline
0.66 & 52.7782913552798 & 0.125876278578899 \tabularnewline
0.67 & 52.8027192096258 & 0.133351319814376 \tabularnewline
0.68 & 52.8290733124886 & 0.144813751180987 \tabularnewline
0.69 & 52.8579831048255 & 0.159724358743134 \tabularnewline
0.7 & 52.8899931581519 & 0.177355656257584 \tabularnewline
0.71 & 52.9255187771975 & 0.196747493040162 \tabularnewline
0.72 & 52.9648066261609 & 0.216667832350829 \tabularnewline
0.73 & 53.0079090469795 & 0.23581681089486 \tabularnewline
0.74 & 53.0546806503672 & 0.252897231080104 \tabularnewline
0.75 & 53.1048029422515 & 0.266889682121114 \tabularnewline
0.76 & 53.1578370893158 & 0.277050902028173 \tabularnewline
0.77 & 53.2132972645737 & 0.283372022563119 \tabularnewline
0.78 & 53.2707291819534 & 0.286297217904241 \tabularnewline
0.79 & 53.3297729781977 & 0.28677661914275 \tabularnewline
0.8 & 53.390189169214 & 0.286069822865149 \tabularnewline
0.81 & 53.4518328503405 & 0.285181313674515 \tabularnewline
0.82 & 53.514574796264 & 0.284507676423673 \tabularnewline
0.83 & 53.5781864980077 & 0.283691292547257 \tabularnewline
0.84 & 53.6422249007861 & 0.28131646185876 \tabularnewline
0.85 & 53.7059653768746 & 0.275569756985819 \tabularnewline
0.86 & 53.7684316039752 & 0.264725186798166 \tabularnewline
0.87 & 53.8285533268903 & 0.247824295921909 \tabularnewline
0.88 & 53.8854457716335 & 0.225444041853827 \tabularnewline
0.89 & 53.9387516325798 & 0.199726917928623 \tabularnewline
0.9 & 53.9889298133649 & 0.174726570898208 \tabularnewline
0.91 & 54.0373366665399 & 0.155530168463924 \tabularnewline
0.92 & 54.0859586542177 & 0.146718898451143 \tabularnewline
0.93 & 54.136756207292 & 0.148654800533815 \tabularnewline
0.94 & 54.19077706299 & 0.155211236235331 \tabularnewline
0.95 & 54.2474246272494 & 0.156660708617202 \tabularnewline
0.96 & 54.3043341531343 & 0.144970565263904 \tabularnewline
0.97 & 54.3579848337702 & 0.119128539210471 \tabularnewline
0.98 & 54.404505072095 & 0.0887899134235238 \tabularnewline
0.99 & 54.4398685148989 & 0.0706379166901912 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128173&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]50.0195986754021[/C][C]0.140367895839947[/C][/ROW]
[ROW][C]0.02[/C][C]50.0810562866883[/C][C]0.140535331968164[/C][/ROW]
[ROW][C]0.03[/C][C]50.1475482874938[/C][C]0.130426826903338[/C][/ROW]
[ROW][C]0.04[/C][C]50.2072464246825[/C][C]0.110438574783607[/C][/ROW]
[ROW][C]0.05[/C][C]50.2557765006278[/C][C]0.089114324805091[/C][/ROW]
[ROW][C]0.06[/C][C]50.2942173015313[/C][C]0.0768577788566547[/C][/ROW]
[ROW][C]0.07[/C][C]50.3263634520886[/C][C]0.0803960862948699[/C][/ROW]
[ROW][C]0.08[/C][C]50.3566337896226[/C][C]0.0986115429664838[/C][/ROW]
[ROW][C]0.09[/C][C]50.3888129299788[/C][C]0.125949934532841[/C][/ROW]
[ROW][C]0.1[/C][C]50.4254613287001[/C][C]0.1571894407786[/C][/ROW]
[ROW][C]0.11[/C][C]50.4677797248194[/C][C]0.187904767263679[/C][/ROW]
[ROW][C]0.12[/C][C]50.5157486615729[/C][C]0.214437301475725[/C][/ROW]
[ROW][C]0.13[/C][C]50.5684164508393[/C][C]0.234219175592684[/C][/ROW]
[ROW][C]0.14[/C][C]50.6242510668126[/C][C]0.245833173582356[/C][/ROW]
[ROW][C]0.15[/C][C]50.6814948095756[/C][C]0.249344120443188[/C][/ROW]
[ROW][C]0.16[/C][C]50.738472804403[/C][C]0.245827269092746[/C][/ROW]
[ROW][C]0.17[/C][C]50.7938187999172[/C][C]0.23731838262002[/C][/ROW]
[ROW][C]0.18[/C][C]50.8465995603989[/C][C]0.226080318530467[/C][/ROW]
[ROW][C]0.19[/C][C]50.896340162482[/C][C]0.214294527114575[/C][/ROW]
[ROW][C]0.2[/C][C]50.9429708466281[/C][C]0.203594901211723[/C][/ROW]
[ROW][C]0.21[/C][C]50.9867267640621[/C][C]0.195066471933205[/C][/ROW]
[ROW][C]0.22[/C][C]51.0280332888926[/C][C]0.189025351152649[/C][/ROW]
[ROW][C]0.23[/C][C]51.067403103654[/C][C]0.185472342153564[/C][/ROW]
[ROW][C]0.24[/C][C]51.1053605058453[/C][C]0.184065603396767[/C][/ROW]
[ROW][C]0.25[/C][C]51.1423971122469[/C][C]0.184527241477209[/C][/ROW]
[ROW][C]0.26[/C][C]51.1789542640298[/C][C]0.186610617814887[/C][/ROW]
[ROW][C]0.27[/C][C]51.2154224645505[/C][C]0.19028204515408[/C][/ROW]
[ROW][C]0.28[/C][C]51.2521472505375[/C][C]0.19546087066555[/C][/ROW]
[ROW][C]0.29[/C][C]51.2894331338922[/C][C]0.202187139798924[/C][/ROW]
[ROW][C]0.3[/C][C]51.3275412489785[/C][C]0.210386312008811[/C][/ROW]
[ROW][C]0.31[/C][C]51.3666806097587[/C][C]0.219555536628326[/C][/ROW]
[ROW][C]0.32[/C][C]51.4069962025465[/C][C]0.229368260347169[/C][/ROW]
[ROW][C]0.33[/C][C]51.4485587814834[/C][C]0.239127537565404[/C][/ROW]
[ROW][C]0.34[/C][C]51.4913610259219[/C][C]0.248327195244955[/C][/ROW]
[ROW][C]0.35[/C][C]51.5353229969253[/C][C]0.256444053872174[/C][/ROW]
[ROW][C]0.36[/C][C]51.5803072715493[/C][C]0.263201414138653[/C][/ROW]
[ROW][C]0.37[/C][C]51.6261415398728[/C][C]0.268506023380157[/C][/ROW]
[ROW][C]0.38[/C][C]51.6726445279556[/C][C]0.272462051375256[/C][/ROW]
[ROW][C]0.39[/C][C]51.7196503064205[/C][C]0.275318591285938[/C][/ROW]
[ROW][C]0.4[/C][C]51.7670264657137[/C][C]0.277544054015803[/C][/ROW]
[ROW][C]0.41[/C][C]51.8146830694485[/C][C]0.279443686876045[/C][/ROW]
[ROW][C]0.42[/C][C]51.8625712964458[/C][C]0.281415869286038[/C][/ROW]
[ROW][C]0.43[/C][C]51.9106727286723[/C][C]0.283495251043688[/C][/ROW]
[ROW][C]0.44[/C][C]51.9589818776284[/C][C]0.285754057784796[/C][/ROW]
[ROW][C]0.45[/C][C]52.00748547637[/C][C]0.287981749334138[/C][/ROW]
[ROW][C]0.46[/C][C]52.056142222613[/C][C]0.289928540021571[/C][/ROW]
[ROW][C]0.47[/C][C]52.1048661577498[/C][C]0.291128224053035[/C][/ROW]
[ROW][C]0.48[/C][C]52.1535159477626[/C][C]0.291160361056716[/C][/ROW]
[ROW][C]0.49[/C][C]52.201891267765[/C][C]0.28971346899465[/C][/ROW]
[ROW][C]0.5[/C][C]52.2497365062529[/C][C]0.286426617694255[/C][/ROW]
[ROW][C]0.51[/C][C]52.2967512259408[/C][C]0.281058985069582[/C][/ROW]
[ROW][C]0.52[/C][C]52.3426062722565[/C][C]0.273393336670846[/C][/ROW]
[ROW][C]0.53[/C][C]52.3869640659003[/C][C]0.263585653103379[/C][/ROW]
[ROW][C]0.54[/C][C]52.4295013900301[/C][C]0.251648713645399[/C][/ROW]
[ROW][C]0.55[/C][C]52.469932847808[/C][C]0.237885437259946[/C][/ROW]
[ROW][C]0.56[/C][C]52.508033130373[/C][C]0.222717688445583[/C][/ROW]
[ROW][C]0.57[/C][C]52.5436563441457[/C][C]0.206661491811671[/C][/ROW]
[ROW][C]0.58[/C][C]52.5767509488565[/C][C]0.190326439726014[/C][/ROW]
[ROW][C]0.59[/C][C]52.6073693641874[/C][C]0.174338750912303[/C][/ROW]
[ROW][C]0.6[/C][C]52.635671953197[/C][C]0.159467346286575[/C][/ROW]
[ROW][C]0.61[/C][C]52.6619257488507[/C][C]0.146288381168197[/C][/ROW]
[ROW][C]0.62[/C][C]52.6864987734121[/C][C]0.135477900344041[/C][/ROW]
[ROW][C]0.63[/C][C]52.7098509378024[/C][C]0.12758595875197[/C][/ROW]
[ROW][C]0.64[/C][C]52.7325222099793[/C][C]0.12311194829845[/C][/ROW]
[ROW][C]0.65[/C][C]52.7551180609684[/C][C]0.122455523630838[/C][/ROW]
[ROW][C]0.66[/C][C]52.7782913552798[/C][C]0.125876278578899[/C][/ROW]
[ROW][C]0.67[/C][C]52.8027192096258[/C][C]0.133351319814376[/C][/ROW]
[ROW][C]0.68[/C][C]52.8290733124886[/C][C]0.144813751180987[/C][/ROW]
[ROW][C]0.69[/C][C]52.8579831048255[/C][C]0.159724358743134[/C][/ROW]
[ROW][C]0.7[/C][C]52.8899931581519[/C][C]0.177355656257584[/C][/ROW]
[ROW][C]0.71[/C][C]52.9255187771975[/C][C]0.196747493040162[/C][/ROW]
[ROW][C]0.72[/C][C]52.9648066261609[/C][C]0.216667832350829[/C][/ROW]
[ROW][C]0.73[/C][C]53.0079090469795[/C][C]0.23581681089486[/C][/ROW]
[ROW][C]0.74[/C][C]53.0546806503672[/C][C]0.252897231080104[/C][/ROW]
[ROW][C]0.75[/C][C]53.1048029422515[/C][C]0.266889682121114[/C][/ROW]
[ROW][C]0.76[/C][C]53.1578370893158[/C][C]0.277050902028173[/C][/ROW]
[ROW][C]0.77[/C][C]53.2132972645737[/C][C]0.283372022563119[/C][/ROW]
[ROW][C]0.78[/C][C]53.2707291819534[/C][C]0.286297217904241[/C][/ROW]
[ROW][C]0.79[/C][C]53.3297729781977[/C][C]0.28677661914275[/C][/ROW]
[ROW][C]0.8[/C][C]53.390189169214[/C][C]0.286069822865149[/C][/ROW]
[ROW][C]0.81[/C][C]53.4518328503405[/C][C]0.285181313674515[/C][/ROW]
[ROW][C]0.82[/C][C]53.514574796264[/C][C]0.284507676423673[/C][/ROW]
[ROW][C]0.83[/C][C]53.5781864980077[/C][C]0.283691292547257[/C][/ROW]
[ROW][C]0.84[/C][C]53.6422249007861[/C][C]0.28131646185876[/C][/ROW]
[ROW][C]0.85[/C][C]53.7059653768746[/C][C]0.275569756985819[/C][/ROW]
[ROW][C]0.86[/C][C]53.7684316039752[/C][C]0.264725186798166[/C][/ROW]
[ROW][C]0.87[/C][C]53.8285533268903[/C][C]0.247824295921909[/C][/ROW]
[ROW][C]0.88[/C][C]53.8854457716335[/C][C]0.225444041853827[/C][/ROW]
[ROW][C]0.89[/C][C]53.9387516325798[/C][C]0.199726917928623[/C][/ROW]
[ROW][C]0.9[/C][C]53.9889298133649[/C][C]0.174726570898208[/C][/ROW]
[ROW][C]0.91[/C][C]54.0373366665399[/C][C]0.155530168463924[/C][/ROW]
[ROW][C]0.92[/C][C]54.0859586542177[/C][C]0.146718898451143[/C][/ROW]
[ROW][C]0.93[/C][C]54.136756207292[/C][C]0.148654800533815[/C][/ROW]
[ROW][C]0.94[/C][C]54.19077706299[/C][C]0.155211236235331[/C][/ROW]
[ROW][C]0.95[/C][C]54.2474246272494[/C][C]0.156660708617202[/C][/ROW]
[ROW][C]0.96[/C][C]54.3043341531343[/C][C]0.144970565263904[/C][/ROW]
[ROW][C]0.97[/C][C]54.3579848337702[/C][C]0.119128539210471[/C][/ROW]
[ROW][C]0.98[/C][C]54.404505072095[/C][C]0.0887899134235238[/C][/ROW]
[ROW][C]0.99[/C][C]54.4398685148989[/C][C]0.0706379166901912[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128173&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128173&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
0.0150.01959867540210.140367895839947
0.0250.08105628668830.140535331968164
0.0350.14754828749380.130426826903338
0.0450.20724642468250.110438574783607
0.0550.25577650062780.089114324805091
0.0650.29421730153130.0768577788566547
0.0750.32636345208860.0803960862948699
0.0850.35663378962260.0986115429664838
0.0950.38881292997880.125949934532841
0.150.42546132870010.1571894407786
0.1150.46777972481940.187904767263679
0.1250.51574866157290.214437301475725
0.1350.56841645083930.234219175592684
0.1450.62425106681260.245833173582356
0.1550.68149480957560.249344120443188
0.1650.7384728044030.245827269092746
0.1750.79381879991720.23731838262002
0.1850.84659956039890.226080318530467
0.1950.8963401624820.214294527114575
0.250.94297084662810.203594901211723
0.2150.98672676406210.195066471933205
0.2251.02803328889260.189025351152649
0.2351.0674031036540.185472342153564
0.2451.10536050584530.184065603396767
0.2551.14239711224690.184527241477209
0.2651.17895426402980.186610617814887
0.2751.21542246455050.19028204515408
0.2851.25214725053750.19546087066555
0.2951.28943313389220.202187139798924
0.351.32754124897850.210386312008811
0.3151.36668060975870.219555536628326
0.3251.40699620254650.229368260347169
0.3351.44855878148340.239127537565404
0.3451.49136102592190.248327195244955
0.3551.53532299692530.256444053872174
0.3651.58030727154930.263201414138653
0.3751.62614153987280.268506023380157
0.3851.67264452795560.272462051375256
0.3951.71965030642050.275318591285938
0.451.76702646571370.277544054015803
0.4151.81468306944850.279443686876045
0.4251.86257129644580.281415869286038
0.4351.91067272867230.283495251043688
0.4451.95898187762840.285754057784796
0.4552.007485476370.287981749334138
0.4652.0561422226130.289928540021571
0.4752.10486615774980.291128224053035
0.4852.15351594776260.291160361056716
0.4952.2018912677650.28971346899465
0.552.24973650625290.286426617694255
0.5152.29675122594080.281058985069582
0.5252.34260627225650.273393336670846
0.5352.38696406590030.263585653103379
0.5452.42950139003010.251648713645399
0.5552.4699328478080.237885437259946
0.5652.5080331303730.222717688445583
0.5752.54365634414570.206661491811671
0.5852.57675094885650.190326439726014
0.5952.60736936418740.174338750912303
0.652.6356719531970.159467346286575
0.6152.66192574885070.146288381168197
0.6252.68649877341210.135477900344041
0.6352.70985093780240.12758595875197
0.6452.73252220997930.12311194829845
0.6552.75511806096840.122455523630838
0.6652.77829135527980.125876278578899
0.6752.80271920962580.133351319814376
0.6852.82907331248860.144813751180987
0.6952.85798310482550.159724358743134
0.752.88999315815190.177355656257584
0.7152.92551877719750.196747493040162
0.7252.96480662616090.216667832350829
0.7353.00790904697950.23581681089486
0.7453.05468065036720.252897231080104
0.7553.10480294225150.266889682121114
0.7653.15783708931580.277050902028173
0.7753.21329726457370.283372022563119
0.7853.27072918195340.286297217904241
0.7953.32977297819770.28677661914275
0.853.3901891692140.286069822865149
0.8153.45183285034050.285181313674515
0.8253.5145747962640.284507676423673
0.8353.57818649800770.283691292547257
0.8453.64222490078610.28131646185876
0.8553.70596537687460.275569756985819
0.8653.76843160397520.264725186798166
0.8753.82855332689030.247824295921909
0.8853.88544577163350.225444041853827
0.8953.93875163257980.199726917928623
0.953.98892981336490.174726570898208
0.9154.03733666653990.155530168463924
0.9254.08595865421770.146718898451143
0.9354.1367562072920.148654800533815
0.9454.190777062990.155211236235331
0.9554.24742462724940.156660708617202
0.9654.30433415313430.144970565263904
0.9754.35798483377020.119128539210471
0.9854.4045050720950.0887899134235238
0.9954.43986851489890.0706379166901912


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')