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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 computationFri, 22 Jan 2016 10:32:28 +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/22/t1453458775typtp9797e2bk3y.htm/, Retrieved Fri, 17 May 2024 01:41:55 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=291429, Retrieved Fri, 17 May 2024 01:41:55 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact56

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] [vraag5-3] [2016-01-22 10:32:28] [0d177ad346f92f13be97bd24ebd7f682] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.7923
-2.468
-2.996
3.119
0.04315
0.731
2.45
2.119
-1.429
-1.644
-3.065
-1.461
1.141
1.329
0.3396
0.8429
2.225
-1.924
0.4999
-0.6433

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'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 & 1 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=291429&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=291429&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=291429&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.025-3.024830496336520.143289120477989
0.035-2.996765658897390.190811596872782
0.045-2.961431042065080.242274668374653
0.055-2.918937113213090.29438165978227
0.065-2.869642339593430.344385651237078
0.075-2.814112677945110.390162541528102
0.085-2.753073847528980.430236405251562
0.095-2.687360137222770.463746895348752
0.105-2.61786319647070.49038051910813
0.115-2.545483798570480.510279088190827
0.125-2.471088968014620.523942684390055
0.135-2.395476183978230.532130984060906
0.145-2.319345674813870.535785387890784
0.155-2.243281166165620.535957758517336
0.165-2.167738886637580.53375126825877
0.175-2.093044198772430.530275992157166
0.185-2.01939491833730.526603468591418
0.195-1.946870203981970.523731765271935
0.205-1.875443823557730.522538415441393
0.215-1.805000608773830.523747217149523
0.225-1.735354972000650.527885076776783
0.235-1.666270456483030.535259888115871
0.245-1.597479407407360.545943405213892
0.255-1.528701974854190.559783704726966
0.265-1.459663784057950.576425694993569
0.275-1.39011173056280.595350650929074
0.285-1.319827477029510.615920062919651
0.295-1.248638344834330.637420468969519
0.305-1.176425407454750.659104487282806
0.315-1.10312870359130.680224108251181
0.325-1.02874959476610.700064623387113
0.335-0.9533503926118740.717964458436244
0.345-0.8770514723993340.73333983464169
0.355-0.800026168424530.745695282586516
0.365-0.7224938106716210.754639552798076
0.375-0.6447113081653750.759890945669134
0.385-0.5669637109374420.761278992737006
0.395-0.4895541889053560.758746476050431
0.405-0.4127938527082750.752342457936559
0.415-0.3369918103001670.742216777127197
0.425-0.2624458065262180.72860771011943
0.435-0.1894337344646330.711830740198947
0.445-0.1182062410043420.692263006975086
0.455-0.04898057918759510.670329894595702
0.4650.01806420955209130.646489387457755
0.4750.08279076515196280.621218025227984
0.4850.1451055699782710.59499784663129
0.4950.204959887750480.568305162327104
0.5050.2623496023989120.541601044689861
0.5150.3173141018844540.515323983008929
0.5250.3699343625285310.489885708874653
0.5350.4203303883441250.465667080439766
0.5450.4686581487304910.44301790707459
0.5550.5151061386922350.422255993116831
0.5650.5598916607950570.403667000608649
0.5750.60325689988070.387504957926882
0.5850.645464832680090.373989202787721
0.5950.6867949873659670.363302013269795
0.6050.7275390451012860.35558091999709
0.6150.7679962588795190.35091237703965
0.6250.8084686562658510.34932360932196
0.6350.84925599357280.350776073899851
0.6450.8906504407128710.355161256387923
0.6550.932930999195240.362301357485289
0.6650.9763576906581790.371950217327012
0.6751.021165599461110.383797165358819
0.6851.06755890887530.397473767291482
0.6951.115705133990620.41255493462278
0.7051.165729822129560.428569025275515
0.7151.217712058586570.444998254938071
0.7251.271681175797660.461289057719862
0.7351.327615110128670.476862171297299
0.7451.385440873561020.491127554725887
0.7551.445037597646240.50350231494074
0.7651.506242553150680.513433667463027
0.7751.568860439019190.520426954596461
0.7851.632676056550510.524075019356224
0.7951.697470227413980.52409182259796
0.8051.76303846769710.520343273967695
0.8151.829211489290320.512877627245031
0.8251.895876067608780.501955352848976
0.8351.962994208051040.488070254033616
0.8452.030617901863580.47196922420957
0.8552.098896156063760.454661646743342
0.8652.168070524342630.437418568726415
0.8752.238455218353380.421751875252212
0.8852.310398253430720.409346731647744
0.8952.384221228807350.401927112980744
0.9052.460137512601180.401032519282153
0.9152.538151990735430.407733324026927
0.9252.617950188717430.422371835022443
0.9352.698790253211240.444435090947937
0.9452.779417344338840.4726032065254
0.9552.858025274482530.504914340785653
0.9652.932293009244010.538979371285448
0.9752.999521743808940.572201767129156

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.025 & -3.02483049633652 & 0.143289120477989 \tabularnewline
0.035 & -2.99676565889739 & 0.190811596872782 \tabularnewline
0.045 & -2.96143104206508 & 0.242274668374653 \tabularnewline
0.055 & -2.91893711321309 & 0.29438165978227 \tabularnewline
0.065 & -2.86964233959343 & 0.344385651237078 \tabularnewline
0.075 & -2.81411267794511 & 0.390162541528102 \tabularnewline
0.085 & -2.75307384752898 & 0.430236405251562 \tabularnewline
0.095 & -2.68736013722277 & 0.463746895348752 \tabularnewline
0.105 & -2.6178631964707 & 0.49038051910813 \tabularnewline
0.115 & -2.54548379857048 & 0.510279088190827 \tabularnewline
0.125 & -2.47108896801462 & 0.523942684390055 \tabularnewline
0.135 & -2.39547618397823 & 0.532130984060906 \tabularnewline
0.145 & -2.31934567481387 & 0.535785387890784 \tabularnewline
0.155 & -2.24328116616562 & 0.535957758517336 \tabularnewline
0.165 & -2.16773888663758 & 0.53375126825877 \tabularnewline
0.175 & -2.09304419877243 & 0.530275992157166 \tabularnewline
0.185 & -2.0193949183373 & 0.526603468591418 \tabularnewline
0.195 & -1.94687020398197 & 0.523731765271935 \tabularnewline
0.205 & -1.87544382355773 & 0.522538415441393 \tabularnewline
0.215 & -1.80500060877383 & 0.523747217149523 \tabularnewline
0.225 & -1.73535497200065 & 0.527885076776783 \tabularnewline
0.235 & -1.66627045648303 & 0.535259888115871 \tabularnewline
0.245 & -1.59747940740736 & 0.545943405213892 \tabularnewline
0.255 & -1.52870197485419 & 0.559783704726966 \tabularnewline
0.265 & -1.45966378405795 & 0.576425694993569 \tabularnewline
0.275 & -1.3901117305628 & 0.595350650929074 \tabularnewline
0.285 & -1.31982747702951 & 0.615920062919651 \tabularnewline
0.295 & -1.24863834483433 & 0.637420468969519 \tabularnewline
0.305 & -1.17642540745475 & 0.659104487282806 \tabularnewline
0.315 & -1.1031287035913 & 0.680224108251181 \tabularnewline
0.325 & -1.0287495947661 & 0.700064623387113 \tabularnewline
0.335 & -0.953350392611874 & 0.717964458436244 \tabularnewline
0.345 & -0.877051472399334 & 0.73333983464169 \tabularnewline
0.355 & -0.80002616842453 & 0.745695282586516 \tabularnewline
0.365 & -0.722493810671621 & 0.754639552798076 \tabularnewline
0.375 & -0.644711308165375 & 0.759890945669134 \tabularnewline
0.385 & -0.566963710937442 & 0.761278992737006 \tabularnewline
0.395 & -0.489554188905356 & 0.758746476050431 \tabularnewline
0.405 & -0.412793852708275 & 0.752342457936559 \tabularnewline
0.415 & -0.336991810300167 & 0.742216777127197 \tabularnewline
0.425 & -0.262445806526218 & 0.72860771011943 \tabularnewline
0.435 & -0.189433734464633 & 0.711830740198947 \tabularnewline
0.445 & -0.118206241004342 & 0.692263006975086 \tabularnewline
0.455 & -0.0489805791875951 & 0.670329894595702 \tabularnewline
0.465 & 0.0180642095520913 & 0.646489387457755 \tabularnewline
0.475 & 0.0827907651519628 & 0.621218025227984 \tabularnewline
0.485 & 0.145105569978271 & 0.59499784663129 \tabularnewline
0.495 & 0.20495988775048 & 0.568305162327104 \tabularnewline
0.505 & 0.262349602398912 & 0.541601044689861 \tabularnewline
0.515 & 0.317314101884454 & 0.515323983008929 \tabularnewline
0.525 & 0.369934362528531 & 0.489885708874653 \tabularnewline
0.535 & 0.420330388344125 & 0.465667080439766 \tabularnewline
0.545 & 0.468658148730491 & 0.44301790707459 \tabularnewline
0.555 & 0.515106138692235 & 0.422255993116831 \tabularnewline
0.565 & 0.559891660795057 & 0.403667000608649 \tabularnewline
0.575 & 0.6032568998807 & 0.387504957926882 \tabularnewline
0.585 & 0.64546483268009 & 0.373989202787721 \tabularnewline
0.595 & 0.686794987365967 & 0.363302013269795 \tabularnewline
0.605 & 0.727539045101286 & 0.35558091999709 \tabularnewline
0.615 & 0.767996258879519 & 0.35091237703965 \tabularnewline
0.625 & 0.808468656265851 & 0.34932360932196 \tabularnewline
0.635 & 0.8492559935728 & 0.350776073899851 \tabularnewline
0.645 & 0.890650440712871 & 0.355161256387923 \tabularnewline
0.655 & 0.93293099919524 & 0.362301357485289 \tabularnewline
0.665 & 0.976357690658179 & 0.371950217327012 \tabularnewline
0.675 & 1.02116559946111 & 0.383797165358819 \tabularnewline
0.685 & 1.0675589088753 & 0.397473767291482 \tabularnewline
0.695 & 1.11570513399062 & 0.41255493462278 \tabularnewline
0.705 & 1.16572982212956 & 0.428569025275515 \tabularnewline
0.715 & 1.21771205858657 & 0.444998254938071 \tabularnewline
0.725 & 1.27168117579766 & 0.461289057719862 \tabularnewline
0.735 & 1.32761511012867 & 0.476862171297299 \tabularnewline
0.745 & 1.38544087356102 & 0.491127554725887 \tabularnewline
0.755 & 1.44503759764624 & 0.50350231494074 \tabularnewline
0.765 & 1.50624255315068 & 0.513433667463027 \tabularnewline
0.775 & 1.56886043901919 & 0.520426954596461 \tabularnewline
0.785 & 1.63267605655051 & 0.524075019356224 \tabularnewline
0.795 & 1.69747022741398 & 0.52409182259796 \tabularnewline
0.805 & 1.7630384676971 & 0.520343273967695 \tabularnewline
0.815 & 1.82921148929032 & 0.512877627245031 \tabularnewline
0.825 & 1.89587606760878 & 0.501955352848976 \tabularnewline
0.835 & 1.96299420805104 & 0.488070254033616 \tabularnewline
0.845 & 2.03061790186358 & 0.47196922420957 \tabularnewline
0.855 & 2.09889615606376 & 0.454661646743342 \tabularnewline
0.865 & 2.16807052434263 & 0.437418568726415 \tabularnewline
0.875 & 2.23845521835338 & 0.421751875252212 \tabularnewline
0.885 & 2.31039825343072 & 0.409346731647744 \tabularnewline
0.895 & 2.38422122880735 & 0.401927112980744 \tabularnewline
0.905 & 2.46013751260118 & 0.401032519282153 \tabularnewline
0.915 & 2.53815199073543 & 0.407733324026927 \tabularnewline
0.925 & 2.61795018871743 & 0.422371835022443 \tabularnewline
0.935 & 2.69879025321124 & 0.444435090947937 \tabularnewline
0.945 & 2.77941734433884 & 0.4726032065254 \tabularnewline
0.955 & 2.85802527448253 & 0.504914340785653 \tabularnewline
0.965 & 2.93229300924401 & 0.538979371285448 \tabularnewline
0.975 & 2.99952174380894 & 0.572201767129156 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=291429&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.025[/C][C]-3.02483049633652[/C][C]0.143289120477989[/C][/ROW]
[ROW][C]0.035[/C][C]-2.99676565889739[/C][C]0.190811596872782[/C][/ROW]
[ROW][C]0.045[/C][C]-2.96143104206508[/C][C]0.242274668374653[/C][/ROW]
[ROW][C]0.055[/C][C]-2.91893711321309[/C][C]0.29438165978227[/C][/ROW]
[ROW][C]0.065[/C][C]-2.86964233959343[/C][C]0.344385651237078[/C][/ROW]
[ROW][C]0.075[/C][C]-2.81411267794511[/C][C]0.390162541528102[/C][/ROW]
[ROW][C]0.085[/C][C]-2.75307384752898[/C][C]0.430236405251562[/C][/ROW]
[ROW][C]0.095[/C][C]-2.68736013722277[/C][C]0.463746895348752[/C][/ROW]
[ROW][C]0.105[/C][C]-2.6178631964707[/C][C]0.49038051910813[/C][/ROW]
[ROW][C]0.115[/C][C]-2.54548379857048[/C][C]0.510279088190827[/C][/ROW]
[ROW][C]0.125[/C][C]-2.47108896801462[/C][C]0.523942684390055[/C][/ROW]
[ROW][C]0.135[/C][C]-2.39547618397823[/C][C]0.532130984060906[/C][/ROW]
[ROW][C]0.145[/C][C]-2.31934567481387[/C][C]0.535785387890784[/C][/ROW]
[ROW][C]0.155[/C][C]-2.24328116616562[/C][C]0.535957758517336[/C][/ROW]
[ROW][C]0.165[/C][C]-2.16773888663758[/C][C]0.53375126825877[/C][/ROW]
[ROW][C]0.175[/C][C]-2.09304419877243[/C][C]0.530275992157166[/C][/ROW]
[ROW][C]0.185[/C][C]-2.0193949183373[/C][C]0.526603468591418[/C][/ROW]
[ROW][C]0.195[/C][C]-1.94687020398197[/C][C]0.523731765271935[/C][/ROW]
[ROW][C]0.205[/C][C]-1.87544382355773[/C][C]0.522538415441393[/C][/ROW]
[ROW][C]0.215[/C][C]-1.80500060877383[/C][C]0.523747217149523[/C][/ROW]
[ROW][C]0.225[/C][C]-1.73535497200065[/C][C]0.527885076776783[/C][/ROW]
[ROW][C]0.235[/C][C]-1.66627045648303[/C][C]0.535259888115871[/C][/ROW]
[ROW][C]0.245[/C][C]-1.59747940740736[/C][C]0.545943405213892[/C][/ROW]
[ROW][C]0.255[/C][C]-1.52870197485419[/C][C]0.559783704726966[/C][/ROW]
[ROW][C]0.265[/C][C]-1.45966378405795[/C][C]0.576425694993569[/C][/ROW]
[ROW][C]0.275[/C][C]-1.3901117305628[/C][C]0.595350650929074[/C][/ROW]
[ROW][C]0.285[/C][C]-1.31982747702951[/C][C]0.615920062919651[/C][/ROW]
[ROW][C]0.295[/C][C]-1.24863834483433[/C][C]0.637420468969519[/C][/ROW]
[ROW][C]0.305[/C][C]-1.17642540745475[/C][C]0.659104487282806[/C][/ROW]
[ROW][C]0.315[/C][C]-1.1031287035913[/C][C]0.680224108251181[/C][/ROW]
[ROW][C]0.325[/C][C]-1.0287495947661[/C][C]0.700064623387113[/C][/ROW]
[ROW][C]0.335[/C][C]-0.953350392611874[/C][C]0.717964458436244[/C][/ROW]
[ROW][C]0.345[/C][C]-0.877051472399334[/C][C]0.73333983464169[/C][/ROW]
[ROW][C]0.355[/C][C]-0.80002616842453[/C][C]0.745695282586516[/C][/ROW]
[ROW][C]0.365[/C][C]-0.722493810671621[/C][C]0.754639552798076[/C][/ROW]
[ROW][C]0.375[/C][C]-0.644711308165375[/C][C]0.759890945669134[/C][/ROW]
[ROW][C]0.385[/C][C]-0.566963710937442[/C][C]0.761278992737006[/C][/ROW]
[ROW][C]0.395[/C][C]-0.489554188905356[/C][C]0.758746476050431[/C][/ROW]
[ROW][C]0.405[/C][C]-0.412793852708275[/C][C]0.752342457936559[/C][/ROW]
[ROW][C]0.415[/C][C]-0.336991810300167[/C][C]0.742216777127197[/C][/ROW]
[ROW][C]0.425[/C][C]-0.262445806526218[/C][C]0.72860771011943[/C][/ROW]
[ROW][C]0.435[/C][C]-0.189433734464633[/C][C]0.711830740198947[/C][/ROW]
[ROW][C]0.445[/C][C]-0.118206241004342[/C][C]0.692263006975086[/C][/ROW]
[ROW][C]0.455[/C][C]-0.0489805791875951[/C][C]0.670329894595702[/C][/ROW]
[ROW][C]0.465[/C][C]0.0180642095520913[/C][C]0.646489387457755[/C][/ROW]
[ROW][C]0.475[/C][C]0.0827907651519628[/C][C]0.621218025227984[/C][/ROW]
[ROW][C]0.485[/C][C]0.145105569978271[/C][C]0.59499784663129[/C][/ROW]
[ROW][C]0.495[/C][C]0.20495988775048[/C][C]0.568305162327104[/C][/ROW]
[ROW][C]0.505[/C][C]0.262349602398912[/C][C]0.541601044689861[/C][/ROW]
[ROW][C]0.515[/C][C]0.317314101884454[/C][C]0.515323983008929[/C][/ROW]
[ROW][C]0.525[/C][C]0.369934362528531[/C][C]0.489885708874653[/C][/ROW]
[ROW][C]0.535[/C][C]0.420330388344125[/C][C]0.465667080439766[/C][/ROW]
[ROW][C]0.545[/C][C]0.468658148730491[/C][C]0.44301790707459[/C][/ROW]
[ROW][C]0.555[/C][C]0.515106138692235[/C][C]0.422255993116831[/C][/ROW]
[ROW][C]0.565[/C][C]0.559891660795057[/C][C]0.403667000608649[/C][/ROW]
[ROW][C]0.575[/C][C]0.6032568998807[/C][C]0.387504957926882[/C][/ROW]
[ROW][C]0.585[/C][C]0.64546483268009[/C][C]0.373989202787721[/C][/ROW]
[ROW][C]0.595[/C][C]0.686794987365967[/C][C]0.363302013269795[/C][/ROW]
[ROW][C]0.605[/C][C]0.727539045101286[/C][C]0.35558091999709[/C][/ROW]
[ROW][C]0.615[/C][C]0.767996258879519[/C][C]0.35091237703965[/C][/ROW]
[ROW][C]0.625[/C][C]0.808468656265851[/C][C]0.34932360932196[/C][/ROW]
[ROW][C]0.635[/C][C]0.8492559935728[/C][C]0.350776073899851[/C][/ROW]
[ROW][C]0.645[/C][C]0.890650440712871[/C][C]0.355161256387923[/C][/ROW]
[ROW][C]0.655[/C][C]0.93293099919524[/C][C]0.362301357485289[/C][/ROW]
[ROW][C]0.665[/C][C]0.976357690658179[/C][C]0.371950217327012[/C][/ROW]
[ROW][C]0.675[/C][C]1.02116559946111[/C][C]0.383797165358819[/C][/ROW]
[ROW][C]0.685[/C][C]1.0675589088753[/C][C]0.397473767291482[/C][/ROW]
[ROW][C]0.695[/C][C]1.11570513399062[/C][C]0.41255493462278[/C][/ROW]
[ROW][C]0.705[/C][C]1.16572982212956[/C][C]0.428569025275515[/C][/ROW]
[ROW][C]0.715[/C][C]1.21771205858657[/C][C]0.444998254938071[/C][/ROW]
[ROW][C]0.725[/C][C]1.27168117579766[/C][C]0.461289057719862[/C][/ROW]
[ROW][C]0.735[/C][C]1.32761511012867[/C][C]0.476862171297299[/C][/ROW]
[ROW][C]0.745[/C][C]1.38544087356102[/C][C]0.491127554725887[/C][/ROW]
[ROW][C]0.755[/C][C]1.44503759764624[/C][C]0.50350231494074[/C][/ROW]
[ROW][C]0.765[/C][C]1.50624255315068[/C][C]0.513433667463027[/C][/ROW]
[ROW][C]0.775[/C][C]1.56886043901919[/C][C]0.520426954596461[/C][/ROW]
[ROW][C]0.785[/C][C]1.63267605655051[/C][C]0.524075019356224[/C][/ROW]
[ROW][C]0.795[/C][C]1.69747022741398[/C][C]0.52409182259796[/C][/ROW]
[ROW][C]0.805[/C][C]1.7630384676971[/C][C]0.520343273967695[/C][/ROW]
[ROW][C]0.815[/C][C]1.82921148929032[/C][C]0.512877627245031[/C][/ROW]
[ROW][C]0.825[/C][C]1.89587606760878[/C][C]0.501955352848976[/C][/ROW]
[ROW][C]0.835[/C][C]1.96299420805104[/C][C]0.488070254033616[/C][/ROW]
[ROW][C]0.845[/C][C]2.03061790186358[/C][C]0.47196922420957[/C][/ROW]
[ROW][C]0.855[/C][C]2.09889615606376[/C][C]0.454661646743342[/C][/ROW]
[ROW][C]0.865[/C][C]2.16807052434263[/C][C]0.437418568726415[/C][/ROW]
[ROW][C]0.875[/C][C]2.23845521835338[/C][C]0.421751875252212[/C][/ROW]
[ROW][C]0.885[/C][C]2.31039825343072[/C][C]0.409346731647744[/C][/ROW]
[ROW][C]0.895[/C][C]2.38422122880735[/C][C]0.401927112980744[/C][/ROW]
[ROW][C]0.905[/C][C]2.46013751260118[/C][C]0.401032519282153[/C][/ROW]
[ROW][C]0.915[/C][C]2.53815199073543[/C][C]0.407733324026927[/C][/ROW]
[ROW][C]0.925[/C][C]2.61795018871743[/C][C]0.422371835022443[/C][/ROW]
[ROW][C]0.935[/C][C]2.69879025321124[/C][C]0.444435090947937[/C][/ROW]
[ROW][C]0.945[/C][C]2.77941734433884[/C][C]0.4726032065254[/C][/ROW]
[ROW][C]0.955[/C][C]2.85802527448253[/C][C]0.504914340785653[/C][/ROW]
[ROW][C]0.965[/C][C]2.93229300924401[/C][C]0.538979371285448[/C][/ROW]
[ROW][C]0.975[/C][C]2.99952174380894[/C][C]0.572201767129156[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=291429&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=291429&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
0.025-3.024830496336520.143289120477989
0.035-2.996765658897390.190811596872782
0.045-2.961431042065080.242274668374653
0.055-2.918937113213090.29438165978227
0.065-2.869642339593430.344385651237078
0.075-2.814112677945110.390162541528102
0.085-2.753073847528980.430236405251562
0.095-2.687360137222770.463746895348752
0.105-2.61786319647070.49038051910813
0.115-2.545483798570480.510279088190827
0.125-2.471088968014620.523942684390055
0.135-2.395476183978230.532130984060906
0.145-2.319345674813870.535785387890784
0.155-2.243281166165620.535957758517336
0.165-2.167738886637580.53375126825877
0.175-2.093044198772430.530275992157166
0.185-2.01939491833730.526603468591418
0.195-1.946870203981970.523731765271935
0.205-1.875443823557730.522538415441393
0.215-1.805000608773830.523747217149523
0.225-1.735354972000650.527885076776783
0.235-1.666270456483030.535259888115871
0.245-1.597479407407360.545943405213892
0.255-1.528701974854190.559783704726966
0.265-1.459663784057950.576425694993569
0.275-1.39011173056280.595350650929074
0.285-1.319827477029510.615920062919651
0.295-1.248638344834330.637420468969519
0.305-1.176425407454750.659104487282806
0.315-1.10312870359130.680224108251181
0.325-1.02874959476610.700064623387113
0.335-0.9533503926118740.717964458436244
0.345-0.8770514723993340.73333983464169
0.355-0.800026168424530.745695282586516
0.365-0.7224938106716210.754639552798076
0.375-0.6447113081653750.759890945669134
0.385-0.5669637109374420.761278992737006
0.395-0.4895541889053560.758746476050431
0.405-0.4127938527082750.752342457936559
0.415-0.3369918103001670.742216777127197
0.425-0.2624458065262180.72860771011943
0.435-0.1894337344646330.711830740198947
0.445-0.1182062410043420.692263006975086
0.455-0.04898057918759510.670329894595702
0.4650.01806420955209130.646489387457755
0.4750.08279076515196280.621218025227984
0.4850.1451055699782710.59499784663129
0.4950.204959887750480.568305162327104
0.5050.2623496023989120.541601044689861
0.5150.3173141018844540.515323983008929
0.5250.3699343625285310.489885708874653
0.5350.4203303883441250.465667080439766
0.5450.4686581487304910.44301790707459
0.5550.5151061386922350.422255993116831
0.5650.5598916607950570.403667000608649
0.5750.60325689988070.387504957926882
0.5850.645464832680090.373989202787721
0.5950.6867949873659670.363302013269795
0.6050.7275390451012860.35558091999709
0.6150.7679962588795190.35091237703965
0.6250.8084686562658510.34932360932196
0.6350.84925599357280.350776073899851
0.6450.8906504407128710.355161256387923
0.6550.932930999195240.362301357485289
0.6650.9763576906581790.371950217327012
0.6751.021165599461110.383797165358819
0.6851.06755890887530.397473767291482
0.6951.115705133990620.41255493462278
0.7051.165729822129560.428569025275515
0.7151.217712058586570.444998254938071
0.7251.271681175797660.461289057719862
0.7351.327615110128670.476862171297299
0.7451.385440873561020.491127554725887
0.7551.445037597646240.50350231494074
0.7651.506242553150680.513433667463027
0.7751.568860439019190.520426954596461
0.7851.632676056550510.524075019356224
0.7951.697470227413980.52409182259796
0.8051.76303846769710.520343273967695
0.8151.829211489290320.512877627245031
0.8251.895876067608780.501955352848976
0.8351.962994208051040.488070254033616
0.8452.030617901863580.47196922420957
0.8552.098896156063760.454661646743342
0.8652.168070524342630.437418568726415
0.8752.238455218353380.421751875252212
0.8852.310398253430720.409346731647744
0.8952.384221228807350.401927112980744
0.9052.460137512601180.401032519282153
0.9152.538151990735430.407733324026927
0.9252.617950188717430.422371835022443
0.9352.698790253211240.444435090947937
0.9452.779417344338840.4726032065254
0.9552.858025274482530.504914340785653
0.9652.932293009244010.538979371285448
0.9752.999521743808940.572201767129156


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 0.025 ; par2 = 0.975 ; 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')