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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 09 Oct 2011 10:16:08 -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/09/t13181698269dc8ewk66dx0zro.htm/, Retrieved Sun, 19 May 2024 01:56:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127449, Retrieved Sun, 19 May 2024 01:56:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact79

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] [Percentielen Prij...] [2011-10-09 14:16:08] [0e4b98151bf75fbee698897d61f4279d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
192.89
194.76
194.76
194.76
194.76
194.76
194.76
194.76
194.76
194.76
194.76
194.76
194.76
194.76
199.15
199.15
199.15
199.15
199.15
199.15
199.15
199.15
199.15
199.15
199.15
200.4
200.4
200.4
200.4
200.4
200.4
200.4
200.4
200.4
200.4
200.4
200.4
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
204.15
212.25
212.25
212.25
212.25
212.25
212.25
212.25
212.25
212.25
212.25
212.25

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'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127449&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127449&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127449&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01193.3554615327581.3926321665446
0.02193.9291869728790.830120298597548
0.03194.3580124084260.405221527265842
0.04194.5956721160580.167427096346451
0.05194.7021168260890.0604255172189564
0.06194.7431255504630.0213529298662721
0.07194.7588430624060.0183450944015118
0.08194.768746640090.0378100509386253
0.09194.7826170102650.0776811426150257
0.1194.8076268208840.146008931755227
0.11194.8514454211280.252132056453871
0.12194.9229596097570.402352311542491
0.13195.031640233390.597234448706828
0.14195.186093802170.828897219968156
0.15195.3922337066721.07999828744147
0.16195.6515645291071.32647147361999
0.17195.9600853314891.54051412401514
0.18196.3081882235331.69665496483235
0.19196.6816683446131.77697979360108
0.2197.063654403271.77423203772301
0.21197.4370222490761.69319914608433
0.22197.7867483436181.54882938898639
0.23198.1017181459351.3629480754342
0.24198.3756886163261.15968485527435
0.25198.6073394729670.961565603647148
0.26198.799556817760.786763663979311
0.27198.958222897060.647825855260274
0.28199.0908218584760.551226894771575
0.29199.2051302596260.496633983480327
0.3199.308176478710.477127570471186
0.31199.4055592806990.481095665749134
0.32199.5011364853740.496721966521742
0.33199.5970402966870.514145518463086
0.34199.6939459028250.526833738898055
0.35199.7915084083910.53136998511059
0.36199.888883172570.527284981200261
0.37199.9852511982220.516844403150189
0.38200.0802816988780.504829102409151
0.39200.1744773228460.497976569839472
0.4200.2693632979650.504202727179485
0.41200.3674995008380.531331097470426
0.42200.4723134604110.584557564349559
0.43200.587771725520.665431077800267
0.44200.7179258361470.771373086527264
0.45200.8663859667370.896593168437366
0.46201.035788219441.03287008428954
0.47201.2273280463191.16981532837224
0.48201.440429784351.29657824525513
0.49201.672608995121.40169917605681
0.5201.9195602377081.47556257842548
0.51202.175470656481.51083858950279
0.52202.4335244931321.50353846620623
0.53202.6865321488281.4536912423336
0.54202.9275965358751.36506134037221
0.55203.1507240587521.2446277990549
0.56203.3512991137481.10166296093061
0.57203.526366973030.946490228733678
0.58203.6747044391940.78909094576209
0.59203.7966930854040.638354036834736
0.6203.8940389154730.500855022266158
0.61203.9693997413990.381155833505951
0.62204.02598560210.281100500767181
0.63204.0671895987110.200986478329281
0.64204.0962905725970.13927154219635
0.65204.1162502281320.0935954066873177
0.66204.1296104691620.0610915832448743
0.67204.138485407060.0392171051557519
0.68204.1446383372020.0257112735094174
0.69204.1496365702390.0201070264170033
0.7204.1550840235260.023782955850912
0.71204.1629388172260.038215781914199
0.72204.1759250296280.0662518316746675
0.73204.1980373276810.113978349893
0.74204.2351077075330.190341530629377
0.75204.2953515457880.306611583531572
0.76204.3897398727630.475162371561094
0.77204.5319734528270.707298476229561
0.78204.7377946544641.00986589168023
0.79205.0234092696181.38094001024244
0.8205.402942850881.8057830288944
0.81205.8851364318082.25419894882119
0.82206.4698501253562.68101282267766
0.83207.145276006743.03141003677354
0.84207.8869000845083.25039094918673
0.85208.659045338673.29586163716775
0.86209.4192233830333.15015190457343
0.87210.1246460796472.82750892525742
0.88210.7394030559442.37298707367905
0.89211.2403748400651.85254891449848
0.9211.6201952649291.33710651757829
0.91211.8864912603340.885545117709779
0.92212.0578736178110.533158850121339
0.93212.1581963549510.288320242304902
0.94212.2109906480330.137892289797997
0.95212.2355853135990.0570812095306032
0.96212.2455155472020.0197980208096419
0.97212.2488844758950.00545833284004147
0.98212.2497984272790.00111016939119488
0.99212.2499792756320.000138771173899359

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 193.355461532758 & 1.3926321665446 \tabularnewline
0.02 & 193.929186972879 & 0.830120298597548 \tabularnewline
0.03 & 194.358012408426 & 0.405221527265842 \tabularnewline
0.04 & 194.595672116058 & 0.167427096346451 \tabularnewline
0.05 & 194.702116826089 & 0.0604255172189564 \tabularnewline
0.06 & 194.743125550463 & 0.0213529298662721 \tabularnewline
0.07 & 194.758843062406 & 0.0183450944015118 \tabularnewline
0.08 & 194.76874664009 & 0.0378100509386253 \tabularnewline
0.09 & 194.782617010265 & 0.0776811426150257 \tabularnewline
0.1 & 194.807626820884 & 0.146008931755227 \tabularnewline
0.11 & 194.851445421128 & 0.252132056453871 \tabularnewline
0.12 & 194.922959609757 & 0.402352311542491 \tabularnewline
0.13 & 195.03164023339 & 0.597234448706828 \tabularnewline
0.14 & 195.18609380217 & 0.828897219968156 \tabularnewline
0.15 & 195.392233706672 & 1.07999828744147 \tabularnewline
0.16 & 195.651564529107 & 1.32647147361999 \tabularnewline
0.17 & 195.960085331489 & 1.54051412401514 \tabularnewline
0.18 & 196.308188223533 & 1.69665496483235 \tabularnewline
0.19 & 196.681668344613 & 1.77697979360108 \tabularnewline
0.2 & 197.06365440327 & 1.77423203772301 \tabularnewline
0.21 & 197.437022249076 & 1.69319914608433 \tabularnewline
0.22 & 197.786748343618 & 1.54882938898639 \tabularnewline
0.23 & 198.101718145935 & 1.3629480754342 \tabularnewline
0.24 & 198.375688616326 & 1.15968485527435 \tabularnewline
0.25 & 198.607339472967 & 0.961565603647148 \tabularnewline
0.26 & 198.79955681776 & 0.786763663979311 \tabularnewline
0.27 & 198.95822289706 & 0.647825855260274 \tabularnewline
0.28 & 199.090821858476 & 0.551226894771575 \tabularnewline
0.29 & 199.205130259626 & 0.496633983480327 \tabularnewline
0.3 & 199.30817647871 & 0.477127570471186 \tabularnewline
0.31 & 199.405559280699 & 0.481095665749134 \tabularnewline
0.32 & 199.501136485374 & 0.496721966521742 \tabularnewline
0.33 & 199.597040296687 & 0.514145518463086 \tabularnewline
0.34 & 199.693945902825 & 0.526833738898055 \tabularnewline
0.35 & 199.791508408391 & 0.53136998511059 \tabularnewline
0.36 & 199.88888317257 & 0.527284981200261 \tabularnewline
0.37 & 199.985251198222 & 0.516844403150189 \tabularnewline
0.38 & 200.080281698878 & 0.504829102409151 \tabularnewline
0.39 & 200.174477322846 & 0.497976569839472 \tabularnewline
0.4 & 200.269363297965 & 0.504202727179485 \tabularnewline
0.41 & 200.367499500838 & 0.531331097470426 \tabularnewline
0.42 & 200.472313460411 & 0.584557564349559 \tabularnewline
0.43 & 200.58777172552 & 0.665431077800267 \tabularnewline
0.44 & 200.717925836147 & 0.771373086527264 \tabularnewline
0.45 & 200.866385966737 & 0.896593168437366 \tabularnewline
0.46 & 201.03578821944 & 1.03287008428954 \tabularnewline
0.47 & 201.227328046319 & 1.16981532837224 \tabularnewline
0.48 & 201.44042978435 & 1.29657824525513 \tabularnewline
0.49 & 201.67260899512 & 1.40169917605681 \tabularnewline
0.5 & 201.919560237708 & 1.47556257842548 \tabularnewline
0.51 & 202.17547065648 & 1.51083858950279 \tabularnewline
0.52 & 202.433524493132 & 1.50353846620623 \tabularnewline
0.53 & 202.686532148828 & 1.4536912423336 \tabularnewline
0.54 & 202.927596535875 & 1.36506134037221 \tabularnewline
0.55 & 203.150724058752 & 1.2446277990549 \tabularnewline
0.56 & 203.351299113748 & 1.10166296093061 \tabularnewline
0.57 & 203.52636697303 & 0.946490228733678 \tabularnewline
0.58 & 203.674704439194 & 0.78909094576209 \tabularnewline
0.59 & 203.796693085404 & 0.638354036834736 \tabularnewline
0.6 & 203.894038915473 & 0.500855022266158 \tabularnewline
0.61 & 203.969399741399 & 0.381155833505951 \tabularnewline
0.62 & 204.0259856021 & 0.281100500767181 \tabularnewline
0.63 & 204.067189598711 & 0.200986478329281 \tabularnewline
0.64 & 204.096290572597 & 0.13927154219635 \tabularnewline
0.65 & 204.116250228132 & 0.0935954066873177 \tabularnewline
0.66 & 204.129610469162 & 0.0610915832448743 \tabularnewline
0.67 & 204.13848540706 & 0.0392171051557519 \tabularnewline
0.68 & 204.144638337202 & 0.0257112735094174 \tabularnewline
0.69 & 204.149636570239 & 0.0201070264170033 \tabularnewline
0.7 & 204.155084023526 & 0.023782955850912 \tabularnewline
0.71 & 204.162938817226 & 0.038215781914199 \tabularnewline
0.72 & 204.175925029628 & 0.0662518316746675 \tabularnewline
0.73 & 204.198037327681 & 0.113978349893 \tabularnewline
0.74 & 204.235107707533 & 0.190341530629377 \tabularnewline
0.75 & 204.295351545788 & 0.306611583531572 \tabularnewline
0.76 & 204.389739872763 & 0.475162371561094 \tabularnewline
0.77 & 204.531973452827 & 0.707298476229561 \tabularnewline
0.78 & 204.737794654464 & 1.00986589168023 \tabularnewline
0.79 & 205.023409269618 & 1.38094001024244 \tabularnewline
0.8 & 205.40294285088 & 1.8057830288944 \tabularnewline
0.81 & 205.885136431808 & 2.25419894882119 \tabularnewline
0.82 & 206.469850125356 & 2.68101282267766 \tabularnewline
0.83 & 207.14527600674 & 3.03141003677354 \tabularnewline
0.84 & 207.886900084508 & 3.25039094918673 \tabularnewline
0.85 & 208.65904533867 & 3.29586163716775 \tabularnewline
0.86 & 209.419223383033 & 3.15015190457343 \tabularnewline
0.87 & 210.124646079647 & 2.82750892525742 \tabularnewline
0.88 & 210.739403055944 & 2.37298707367905 \tabularnewline
0.89 & 211.240374840065 & 1.85254891449848 \tabularnewline
0.9 & 211.620195264929 & 1.33710651757829 \tabularnewline
0.91 & 211.886491260334 & 0.885545117709779 \tabularnewline
0.92 & 212.057873617811 & 0.533158850121339 \tabularnewline
0.93 & 212.158196354951 & 0.288320242304902 \tabularnewline
0.94 & 212.210990648033 & 0.137892289797997 \tabularnewline
0.95 & 212.235585313599 & 0.0570812095306032 \tabularnewline
0.96 & 212.245515547202 & 0.0197980208096419 \tabularnewline
0.97 & 212.248884475895 & 0.00545833284004147 \tabularnewline
0.98 & 212.249798427279 & 0.00111016939119488 \tabularnewline
0.99 & 212.249979275632 & 0.000138771173899359 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127449&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]193.355461532758[/C][C]1.3926321665446[/C][/ROW]
[ROW][C]0.02[/C][C]193.929186972879[/C][C]0.830120298597548[/C][/ROW]
[ROW][C]0.03[/C][C]194.358012408426[/C][C]0.405221527265842[/C][/ROW]
[ROW][C]0.04[/C][C]194.595672116058[/C][C]0.167427096346451[/C][/ROW]
[ROW][C]0.05[/C][C]194.702116826089[/C][C]0.0604255172189564[/C][/ROW]
[ROW][C]0.06[/C][C]194.743125550463[/C][C]0.0213529298662721[/C][/ROW]
[ROW][C]0.07[/C][C]194.758843062406[/C][C]0.0183450944015118[/C][/ROW]
[ROW][C]0.08[/C][C]194.76874664009[/C][C]0.0378100509386253[/C][/ROW]
[ROW][C]0.09[/C][C]194.782617010265[/C][C]0.0776811426150257[/C][/ROW]
[ROW][C]0.1[/C][C]194.807626820884[/C][C]0.146008931755227[/C][/ROW]
[ROW][C]0.11[/C][C]194.851445421128[/C][C]0.252132056453871[/C][/ROW]
[ROW][C]0.12[/C][C]194.922959609757[/C][C]0.402352311542491[/C][/ROW]
[ROW][C]0.13[/C][C]195.03164023339[/C][C]0.597234448706828[/C][/ROW]
[ROW][C]0.14[/C][C]195.18609380217[/C][C]0.828897219968156[/C][/ROW]
[ROW][C]0.15[/C][C]195.392233706672[/C][C]1.07999828744147[/C][/ROW]
[ROW][C]0.16[/C][C]195.651564529107[/C][C]1.32647147361999[/C][/ROW]
[ROW][C]0.17[/C][C]195.960085331489[/C][C]1.54051412401514[/C][/ROW]
[ROW][C]0.18[/C][C]196.308188223533[/C][C]1.69665496483235[/C][/ROW]
[ROW][C]0.19[/C][C]196.681668344613[/C][C]1.77697979360108[/C][/ROW]
[ROW][C]0.2[/C][C]197.06365440327[/C][C]1.77423203772301[/C][/ROW]
[ROW][C]0.21[/C][C]197.437022249076[/C][C]1.69319914608433[/C][/ROW]
[ROW][C]0.22[/C][C]197.786748343618[/C][C]1.54882938898639[/C][/ROW]
[ROW][C]0.23[/C][C]198.101718145935[/C][C]1.3629480754342[/C][/ROW]
[ROW][C]0.24[/C][C]198.375688616326[/C][C]1.15968485527435[/C][/ROW]
[ROW][C]0.25[/C][C]198.607339472967[/C][C]0.961565603647148[/C][/ROW]
[ROW][C]0.26[/C][C]198.79955681776[/C][C]0.786763663979311[/C][/ROW]
[ROW][C]0.27[/C][C]198.95822289706[/C][C]0.647825855260274[/C][/ROW]
[ROW][C]0.28[/C][C]199.090821858476[/C][C]0.551226894771575[/C][/ROW]
[ROW][C]0.29[/C][C]199.205130259626[/C][C]0.496633983480327[/C][/ROW]
[ROW][C]0.3[/C][C]199.30817647871[/C][C]0.477127570471186[/C][/ROW]
[ROW][C]0.31[/C][C]199.405559280699[/C][C]0.481095665749134[/C][/ROW]
[ROW][C]0.32[/C][C]199.501136485374[/C][C]0.496721966521742[/C][/ROW]
[ROW][C]0.33[/C][C]199.597040296687[/C][C]0.514145518463086[/C][/ROW]
[ROW][C]0.34[/C][C]199.693945902825[/C][C]0.526833738898055[/C][/ROW]
[ROW][C]0.35[/C][C]199.791508408391[/C][C]0.53136998511059[/C][/ROW]
[ROW][C]0.36[/C][C]199.88888317257[/C][C]0.527284981200261[/C][/ROW]
[ROW][C]0.37[/C][C]199.985251198222[/C][C]0.516844403150189[/C][/ROW]
[ROW][C]0.38[/C][C]200.080281698878[/C][C]0.504829102409151[/C][/ROW]
[ROW][C]0.39[/C][C]200.174477322846[/C][C]0.497976569839472[/C][/ROW]
[ROW][C]0.4[/C][C]200.269363297965[/C][C]0.504202727179485[/C][/ROW]
[ROW][C]0.41[/C][C]200.367499500838[/C][C]0.531331097470426[/C][/ROW]
[ROW][C]0.42[/C][C]200.472313460411[/C][C]0.584557564349559[/C][/ROW]
[ROW][C]0.43[/C][C]200.58777172552[/C][C]0.665431077800267[/C][/ROW]
[ROW][C]0.44[/C][C]200.717925836147[/C][C]0.771373086527264[/C][/ROW]
[ROW][C]0.45[/C][C]200.866385966737[/C][C]0.896593168437366[/C][/ROW]
[ROW][C]0.46[/C][C]201.03578821944[/C][C]1.03287008428954[/C][/ROW]
[ROW][C]0.47[/C][C]201.227328046319[/C][C]1.16981532837224[/C][/ROW]
[ROW][C]0.48[/C][C]201.44042978435[/C][C]1.29657824525513[/C][/ROW]
[ROW][C]0.49[/C][C]201.67260899512[/C][C]1.40169917605681[/C][/ROW]
[ROW][C]0.5[/C][C]201.919560237708[/C][C]1.47556257842548[/C][/ROW]
[ROW][C]0.51[/C][C]202.17547065648[/C][C]1.51083858950279[/C][/ROW]
[ROW][C]0.52[/C][C]202.433524493132[/C][C]1.50353846620623[/C][/ROW]
[ROW][C]0.53[/C][C]202.686532148828[/C][C]1.4536912423336[/C][/ROW]
[ROW][C]0.54[/C][C]202.927596535875[/C][C]1.36506134037221[/C][/ROW]
[ROW][C]0.55[/C][C]203.150724058752[/C][C]1.2446277990549[/C][/ROW]
[ROW][C]0.56[/C][C]203.351299113748[/C][C]1.10166296093061[/C][/ROW]
[ROW][C]0.57[/C][C]203.52636697303[/C][C]0.946490228733678[/C][/ROW]
[ROW][C]0.58[/C][C]203.674704439194[/C][C]0.78909094576209[/C][/ROW]
[ROW][C]0.59[/C][C]203.796693085404[/C][C]0.638354036834736[/C][/ROW]
[ROW][C]0.6[/C][C]203.894038915473[/C][C]0.500855022266158[/C][/ROW]
[ROW][C]0.61[/C][C]203.969399741399[/C][C]0.381155833505951[/C][/ROW]
[ROW][C]0.62[/C][C]204.0259856021[/C][C]0.281100500767181[/C][/ROW]
[ROW][C]0.63[/C][C]204.067189598711[/C][C]0.200986478329281[/C][/ROW]
[ROW][C]0.64[/C][C]204.096290572597[/C][C]0.13927154219635[/C][/ROW]
[ROW][C]0.65[/C][C]204.116250228132[/C][C]0.0935954066873177[/C][/ROW]
[ROW][C]0.66[/C][C]204.129610469162[/C][C]0.0610915832448743[/C][/ROW]
[ROW][C]0.67[/C][C]204.13848540706[/C][C]0.0392171051557519[/C][/ROW]
[ROW][C]0.68[/C][C]204.144638337202[/C][C]0.0257112735094174[/C][/ROW]
[ROW][C]0.69[/C][C]204.149636570239[/C][C]0.0201070264170033[/C][/ROW]
[ROW][C]0.7[/C][C]204.155084023526[/C][C]0.023782955850912[/C][/ROW]
[ROW][C]0.71[/C][C]204.162938817226[/C][C]0.038215781914199[/C][/ROW]
[ROW][C]0.72[/C][C]204.175925029628[/C][C]0.0662518316746675[/C][/ROW]
[ROW][C]0.73[/C][C]204.198037327681[/C][C]0.113978349893[/C][/ROW]
[ROW][C]0.74[/C][C]204.235107707533[/C][C]0.190341530629377[/C][/ROW]
[ROW][C]0.75[/C][C]204.295351545788[/C][C]0.306611583531572[/C][/ROW]
[ROW][C]0.76[/C][C]204.389739872763[/C][C]0.475162371561094[/C][/ROW]
[ROW][C]0.77[/C][C]204.531973452827[/C][C]0.707298476229561[/C][/ROW]
[ROW][C]0.78[/C][C]204.737794654464[/C][C]1.00986589168023[/C][/ROW]
[ROW][C]0.79[/C][C]205.023409269618[/C][C]1.38094001024244[/C][/ROW]
[ROW][C]0.8[/C][C]205.40294285088[/C][C]1.8057830288944[/C][/ROW]
[ROW][C]0.81[/C][C]205.885136431808[/C][C]2.25419894882119[/C][/ROW]
[ROW][C]0.82[/C][C]206.469850125356[/C][C]2.68101282267766[/C][/ROW]
[ROW][C]0.83[/C][C]207.14527600674[/C][C]3.03141003677354[/C][/ROW]
[ROW][C]0.84[/C][C]207.886900084508[/C][C]3.25039094918673[/C][/ROW]
[ROW][C]0.85[/C][C]208.65904533867[/C][C]3.29586163716775[/C][/ROW]
[ROW][C]0.86[/C][C]209.419223383033[/C][C]3.15015190457343[/C][/ROW]
[ROW][C]0.87[/C][C]210.124646079647[/C][C]2.82750892525742[/C][/ROW]
[ROW][C]0.88[/C][C]210.739403055944[/C][C]2.37298707367905[/C][/ROW]
[ROW][C]0.89[/C][C]211.240374840065[/C][C]1.85254891449848[/C][/ROW]
[ROW][C]0.9[/C][C]211.620195264929[/C][C]1.33710651757829[/C][/ROW]
[ROW][C]0.91[/C][C]211.886491260334[/C][C]0.885545117709779[/C][/ROW]
[ROW][C]0.92[/C][C]212.057873617811[/C][C]0.533158850121339[/C][/ROW]
[ROW][C]0.93[/C][C]212.158196354951[/C][C]0.288320242304902[/C][/ROW]
[ROW][C]0.94[/C][C]212.210990648033[/C][C]0.137892289797997[/C][/ROW]
[ROW][C]0.95[/C][C]212.235585313599[/C][C]0.0570812095306032[/C][/ROW]
[ROW][C]0.96[/C][C]212.245515547202[/C][C]0.0197980208096419[/C][/ROW]
[ROW][C]0.97[/C][C]212.248884475895[/C][C]0.00545833284004147[/C][/ROW]
[ROW][C]0.98[/C][C]212.249798427279[/C][C]0.00111016939119488[/C][/ROW]
[ROW][C]0.99[/C][C]212.249979275632[/C][C]0.000138771173899359[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127449&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127449&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
0.01193.3554615327581.3926321665446
0.02193.9291869728790.830120298597548
0.03194.3580124084260.405221527265842
0.04194.5956721160580.167427096346451
0.05194.7021168260890.0604255172189564
0.06194.7431255504630.0213529298662721
0.07194.7588430624060.0183450944015118
0.08194.768746640090.0378100509386253
0.09194.7826170102650.0776811426150257
0.1194.8076268208840.146008931755227
0.11194.8514454211280.252132056453871
0.12194.9229596097570.402352311542491
0.13195.031640233390.597234448706828
0.14195.186093802170.828897219968156
0.15195.3922337066721.07999828744147
0.16195.6515645291071.32647147361999
0.17195.9600853314891.54051412401514
0.18196.3081882235331.69665496483235
0.19196.6816683446131.77697979360108
0.2197.063654403271.77423203772301
0.21197.4370222490761.69319914608433
0.22197.7867483436181.54882938898639
0.23198.1017181459351.3629480754342
0.24198.3756886163261.15968485527435
0.25198.6073394729670.961565603647148
0.26198.799556817760.786763663979311
0.27198.958222897060.647825855260274
0.28199.0908218584760.551226894771575
0.29199.2051302596260.496633983480327
0.3199.308176478710.477127570471186
0.31199.4055592806990.481095665749134
0.32199.5011364853740.496721966521742
0.33199.5970402966870.514145518463086
0.34199.6939459028250.526833738898055
0.35199.7915084083910.53136998511059
0.36199.888883172570.527284981200261
0.37199.9852511982220.516844403150189
0.38200.0802816988780.504829102409151
0.39200.1744773228460.497976569839472
0.4200.2693632979650.504202727179485
0.41200.3674995008380.531331097470426
0.42200.4723134604110.584557564349559
0.43200.587771725520.665431077800267
0.44200.7179258361470.771373086527264
0.45200.8663859667370.896593168437366
0.46201.035788219441.03287008428954
0.47201.2273280463191.16981532837224
0.48201.440429784351.29657824525513
0.49201.672608995121.40169917605681
0.5201.9195602377081.47556257842548
0.51202.175470656481.51083858950279
0.52202.4335244931321.50353846620623
0.53202.6865321488281.4536912423336
0.54202.9275965358751.36506134037221
0.55203.1507240587521.2446277990549
0.56203.3512991137481.10166296093061
0.57203.526366973030.946490228733678
0.58203.6747044391940.78909094576209
0.59203.7966930854040.638354036834736
0.6203.8940389154730.500855022266158
0.61203.9693997413990.381155833505951
0.62204.02598560210.281100500767181
0.63204.0671895987110.200986478329281
0.64204.0962905725970.13927154219635
0.65204.1162502281320.0935954066873177
0.66204.1296104691620.0610915832448743
0.67204.138485407060.0392171051557519
0.68204.1446383372020.0257112735094174
0.69204.1496365702390.0201070264170033
0.7204.1550840235260.023782955850912
0.71204.1629388172260.038215781914199
0.72204.1759250296280.0662518316746675
0.73204.1980373276810.113978349893
0.74204.2351077075330.190341530629377
0.75204.2953515457880.306611583531572
0.76204.3897398727630.475162371561094
0.77204.5319734528270.707298476229561
0.78204.7377946544641.00986589168023
0.79205.0234092696181.38094001024244
0.8205.402942850881.8057830288944
0.81205.8851364318082.25419894882119
0.82206.4698501253562.68101282267766
0.83207.145276006743.03141003677354
0.84207.8869000845083.25039094918673
0.85208.659045338673.29586163716775
0.86209.4192233830333.15015190457343
0.87210.1246460796472.82750892525742
0.88210.7394030559442.37298707367905
0.89211.2403748400651.85254891449848
0.9211.6201952649291.33710651757829
0.91211.8864912603340.885545117709779
0.92212.0578736178110.533158850121339
0.93212.1581963549510.288320242304902
0.94212.2109906480330.137892289797997
0.95212.2355853135990.0570812095306032
0.96212.2455155472020.0197980208096419
0.97212.2488844758950.00545833284004147
0.98212.2497984272790.00111016939119488
0.99212.2499792756320.000138771173899359


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')