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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 computationMon, 25 Feb 2013 13:48:12 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/25/t1361818313g2x23cezkntobyh.htm/, Retrieved Fri, 03 May 2024 07:33:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206959, Retrieved Fri, 03 May 2024 07:33:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact98

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] [sam bresseleers o...] [2013-02-25 18:48:12] [28ee828acec30dee1c1aebeda9b64e12] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
155,28
173,24
180,16
181,52
182,25
182,19
182
181,65
180,07
182,62
180,38
181,15
180,5
181,14
180,93
211,91
223,81
226,88
226,8
231,81
232,06
232,32
228,37
226,31
225,72
219,98
219,31
215,19
213,81
213,7
213,6
213,52
218,39
219,97
221,09
219,17
219,17
218,45

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 3 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206959&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206959&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206959&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 time3 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01157.49851728747516.1330864579017
0.02160.67453553443414.1728213351856
0.03164.26405117480211.9329373528159
0.04167.7798893359329.70315895216758
0.05170.8999715070877.67217076993625
0.06173.4763429516485.9287321145144
0.07175.4923407162254.49289249936489
0.08177.0079352001363.34784625821516
0.09178.1149251149952.46143603816085
0.1178.9083045916441.79614724161184
0.11179.4717717384461.31481224179867
0.12179.8726983621950.98203937574823
0.13180.1622721941620.765848959274631
0.14180.3778921667790.637779084503849
0.15180.5461820491430.572688676447996
0.16180.6858582902530.551855561038779
0.17180.8101723000990.563886130654836
0.18180.9288763915060.605446900413117
0.19181.0497530150070.679531597540124
0.2181.1797722560430.793522209033899
0.21181.3259405670130.957015145701373
0.22181.495891360631.18134200620439
0.23181.6982528929091.47745327032565
0.24181.9428147395981.85574753724013
0.25182.2405037303932.325424219612
0.26182.6031752354982.89239803629992
0.27183.0432270604493.55917893805404
0.28183.5730506968394.32332995743862
0.29184.2043470295575.17606500717413
0.3184.9473486343476.10266318504231
0.31185.8100057197517.08140308862905
0.32186.7972045789328.0846696897843
0.33187.9100933892939.08022491749747
0.34189.14558832640710.0323368510561
0.35190.49612233914510.9045710866335
0.36191.94967997909811.6620998235081
0.37193.4901361329212.2737590615922
0.38195.09788723316912.7146341130131
0.39196.75073409598312.9680121257401
0.4198.42494970164613.0262428460961
0.41200.09644634424312.8914544302638
0.42201.74194705885712.5750305491104
0.43203.34006723490812.0966784047858
0.44204.87222354939911.4825674988666
0.45206.32330714883810.7634908787509
0.46207.6820836446319.97233741476489
0.47208.9413106017279.14217695102674
0.48210.0975903128738.30375783911185
0.49211.1509986559277.48430306418287
0.5212.1045474026196.7057066125857
0.51212.9635461848965.98463722625334
0.52213.7349312331955.33138490534803
0.53214.4266217912484.75090262490224
0.54215.0469533749824.24279144652509
0.55215.6042218370393.80301619498
0.56216.1063557133763.42514241108354
0.57216.5607185802093.10091653401251
0.58216.9740297457922.82258117587503
0.59217.3523816030092.58326404092678
0.6217.7013258517582.37784100673421
0.61218.025998508772.20320766556992
0.62218.3312546868582.05804815138777
0.63218.6217878157421.94298338758263
0.64218.9022134616441.85921528841441
0.65219.1771043874671.8088563445617
0.66219.4509703146671.79271375208723
0.67219.7281825116491.81062343669302
0.68220.0128495195731.86059978519179
0.69220.308655835751.93814463052889
0.7220.6186800624822.03726128871281
0.71220.9452127350632.15051640274785
0.72221.2895965385062.26939571592542
0.73221.6521125929922.38500715892782
0.74222.0319355496012.48867238344773
0.75222.4271769953462.57222530880502
0.76222.8350307928632.62894618785473
0.77223.2520253057972.65384136632333
0.78223.6743760569162.64439345112733
0.79224.0984186162212.60114495015449
0.8224.5210861870912.52795799143686
0.81224.9403806860552.43182727262743
0.82225.3557719269612.32312888566631
0.83225.7684494069342.21480488664532
0.84226.1813486140172.12135751990717
0.85226.5988830251422.05706328588826
0.86227.0263386656982.03236135730064
0.87227.4689340045612.05024450245959
0.88227.9306147656862.10353306053907
0.89228.4127356267422.17419875463895
0.9228.912864320742.23621553301681
0.91229.4240032597732.2597824440651
0.92229.934526052862.21668258504325
0.93230.4290383871532.08665339150045
0.94230.8901792254481.86304055312481
0.95231.3011030229351.55785962101268
0.96231.648107749051.20257080603898
0.97231.9227312916340.844630931863262
0.98232.12277075950.539136464087856
0.99232.2521305727120.336530589185336

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 157.498517287475 & 16.1330864579017 \tabularnewline
0.02 & 160.674535534434 & 14.1728213351856 \tabularnewline
0.03 & 164.264051174802 & 11.9329373528159 \tabularnewline
0.04 & 167.779889335932 & 9.70315895216758 \tabularnewline
0.05 & 170.899971507087 & 7.67217076993625 \tabularnewline
0.06 & 173.476342951648 & 5.9287321145144 \tabularnewline
0.07 & 175.492340716225 & 4.49289249936489 \tabularnewline
0.08 & 177.007935200136 & 3.34784625821516 \tabularnewline
0.09 & 178.114925114995 & 2.46143603816085 \tabularnewline
0.1 & 178.908304591644 & 1.79614724161184 \tabularnewline
0.11 & 179.471771738446 & 1.31481224179867 \tabularnewline
0.12 & 179.872698362195 & 0.98203937574823 \tabularnewline
0.13 & 180.162272194162 & 0.765848959274631 \tabularnewline
0.14 & 180.377892166779 & 0.637779084503849 \tabularnewline
0.15 & 180.546182049143 & 0.572688676447996 \tabularnewline
0.16 & 180.685858290253 & 0.551855561038779 \tabularnewline
0.17 & 180.810172300099 & 0.563886130654836 \tabularnewline
0.18 & 180.928876391506 & 0.605446900413117 \tabularnewline
0.19 & 181.049753015007 & 0.679531597540124 \tabularnewline
0.2 & 181.179772256043 & 0.793522209033899 \tabularnewline
0.21 & 181.325940567013 & 0.957015145701373 \tabularnewline
0.22 & 181.49589136063 & 1.18134200620439 \tabularnewline
0.23 & 181.698252892909 & 1.47745327032565 \tabularnewline
0.24 & 181.942814739598 & 1.85574753724013 \tabularnewline
0.25 & 182.240503730393 & 2.325424219612 \tabularnewline
0.26 & 182.603175235498 & 2.89239803629992 \tabularnewline
0.27 & 183.043227060449 & 3.55917893805404 \tabularnewline
0.28 & 183.573050696839 & 4.32332995743862 \tabularnewline
0.29 & 184.204347029557 & 5.17606500717413 \tabularnewline
0.3 & 184.947348634347 & 6.10266318504231 \tabularnewline
0.31 & 185.810005719751 & 7.08140308862905 \tabularnewline
0.32 & 186.797204578932 & 8.0846696897843 \tabularnewline
0.33 & 187.910093389293 & 9.08022491749747 \tabularnewline
0.34 & 189.145588326407 & 10.0323368510561 \tabularnewline
0.35 & 190.496122339145 & 10.9045710866335 \tabularnewline
0.36 & 191.949679979098 & 11.6620998235081 \tabularnewline
0.37 & 193.49013613292 & 12.2737590615922 \tabularnewline
0.38 & 195.097887233169 & 12.7146341130131 \tabularnewline
0.39 & 196.750734095983 & 12.9680121257401 \tabularnewline
0.4 & 198.424949701646 & 13.0262428460961 \tabularnewline
0.41 & 200.096446344243 & 12.8914544302638 \tabularnewline
0.42 & 201.741947058857 & 12.5750305491104 \tabularnewline
0.43 & 203.340067234908 & 12.0966784047858 \tabularnewline
0.44 & 204.872223549399 & 11.4825674988666 \tabularnewline
0.45 & 206.323307148838 & 10.7634908787509 \tabularnewline
0.46 & 207.682083644631 & 9.97233741476489 \tabularnewline
0.47 & 208.941310601727 & 9.14217695102674 \tabularnewline
0.48 & 210.097590312873 & 8.30375783911185 \tabularnewline
0.49 & 211.150998655927 & 7.48430306418287 \tabularnewline
0.5 & 212.104547402619 & 6.7057066125857 \tabularnewline
0.51 & 212.963546184896 & 5.98463722625334 \tabularnewline
0.52 & 213.734931233195 & 5.33138490534803 \tabularnewline
0.53 & 214.426621791248 & 4.75090262490224 \tabularnewline
0.54 & 215.046953374982 & 4.24279144652509 \tabularnewline
0.55 & 215.604221837039 & 3.80301619498 \tabularnewline
0.56 & 216.106355713376 & 3.42514241108354 \tabularnewline
0.57 & 216.560718580209 & 3.10091653401251 \tabularnewline
0.58 & 216.974029745792 & 2.82258117587503 \tabularnewline
0.59 & 217.352381603009 & 2.58326404092678 \tabularnewline
0.6 & 217.701325851758 & 2.37784100673421 \tabularnewline
0.61 & 218.02599850877 & 2.20320766556992 \tabularnewline
0.62 & 218.331254686858 & 2.05804815138777 \tabularnewline
0.63 & 218.621787815742 & 1.94298338758263 \tabularnewline
0.64 & 218.902213461644 & 1.85921528841441 \tabularnewline
0.65 & 219.177104387467 & 1.8088563445617 \tabularnewline
0.66 & 219.450970314667 & 1.79271375208723 \tabularnewline
0.67 & 219.728182511649 & 1.81062343669302 \tabularnewline
0.68 & 220.012849519573 & 1.86059978519179 \tabularnewline
0.69 & 220.30865583575 & 1.93814463052889 \tabularnewline
0.7 & 220.618680062482 & 2.03726128871281 \tabularnewline
0.71 & 220.945212735063 & 2.15051640274785 \tabularnewline
0.72 & 221.289596538506 & 2.26939571592542 \tabularnewline
0.73 & 221.652112592992 & 2.38500715892782 \tabularnewline
0.74 & 222.031935549601 & 2.48867238344773 \tabularnewline
0.75 & 222.427176995346 & 2.57222530880502 \tabularnewline
0.76 & 222.835030792863 & 2.62894618785473 \tabularnewline
0.77 & 223.252025305797 & 2.65384136632333 \tabularnewline
0.78 & 223.674376056916 & 2.64439345112733 \tabularnewline
0.79 & 224.098418616221 & 2.60114495015449 \tabularnewline
0.8 & 224.521086187091 & 2.52795799143686 \tabularnewline
0.81 & 224.940380686055 & 2.43182727262743 \tabularnewline
0.82 & 225.355771926961 & 2.32312888566631 \tabularnewline
0.83 & 225.768449406934 & 2.21480488664532 \tabularnewline
0.84 & 226.181348614017 & 2.12135751990717 \tabularnewline
0.85 & 226.598883025142 & 2.05706328588826 \tabularnewline
0.86 & 227.026338665698 & 2.03236135730064 \tabularnewline
0.87 & 227.468934004561 & 2.05024450245959 \tabularnewline
0.88 & 227.930614765686 & 2.10353306053907 \tabularnewline
0.89 & 228.412735626742 & 2.17419875463895 \tabularnewline
0.9 & 228.91286432074 & 2.23621553301681 \tabularnewline
0.91 & 229.424003259773 & 2.2597824440651 \tabularnewline
0.92 & 229.93452605286 & 2.21668258504325 \tabularnewline
0.93 & 230.429038387153 & 2.08665339150045 \tabularnewline
0.94 & 230.890179225448 & 1.86304055312481 \tabularnewline
0.95 & 231.301103022935 & 1.55785962101268 \tabularnewline
0.96 & 231.64810774905 & 1.20257080603898 \tabularnewline
0.97 & 231.922731291634 & 0.844630931863262 \tabularnewline
0.98 & 232.1227707595 & 0.539136464087856 \tabularnewline
0.99 & 232.252130572712 & 0.336530589185336 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206959&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]157.498517287475[/C][C]16.1330864579017[/C][/ROW]
[ROW][C]0.02[/C][C]160.674535534434[/C][C]14.1728213351856[/C][/ROW]
[ROW][C]0.03[/C][C]164.264051174802[/C][C]11.9329373528159[/C][/ROW]
[ROW][C]0.04[/C][C]167.779889335932[/C][C]9.70315895216758[/C][/ROW]
[ROW][C]0.05[/C][C]170.899971507087[/C][C]7.67217076993625[/C][/ROW]
[ROW][C]0.06[/C][C]173.476342951648[/C][C]5.9287321145144[/C][/ROW]
[ROW][C]0.07[/C][C]175.492340716225[/C][C]4.49289249936489[/C][/ROW]
[ROW][C]0.08[/C][C]177.007935200136[/C][C]3.34784625821516[/C][/ROW]
[ROW][C]0.09[/C][C]178.114925114995[/C][C]2.46143603816085[/C][/ROW]
[ROW][C]0.1[/C][C]178.908304591644[/C][C]1.79614724161184[/C][/ROW]
[ROW][C]0.11[/C][C]179.471771738446[/C][C]1.31481224179867[/C][/ROW]
[ROW][C]0.12[/C][C]179.872698362195[/C][C]0.98203937574823[/C][/ROW]
[ROW][C]0.13[/C][C]180.162272194162[/C][C]0.765848959274631[/C][/ROW]
[ROW][C]0.14[/C][C]180.377892166779[/C][C]0.637779084503849[/C][/ROW]
[ROW][C]0.15[/C][C]180.546182049143[/C][C]0.572688676447996[/C][/ROW]
[ROW][C]0.16[/C][C]180.685858290253[/C][C]0.551855561038779[/C][/ROW]
[ROW][C]0.17[/C][C]180.810172300099[/C][C]0.563886130654836[/C][/ROW]
[ROW][C]0.18[/C][C]180.928876391506[/C][C]0.605446900413117[/C][/ROW]
[ROW][C]0.19[/C][C]181.049753015007[/C][C]0.679531597540124[/C][/ROW]
[ROW][C]0.2[/C][C]181.179772256043[/C][C]0.793522209033899[/C][/ROW]
[ROW][C]0.21[/C][C]181.325940567013[/C][C]0.957015145701373[/C][/ROW]
[ROW][C]0.22[/C][C]181.49589136063[/C][C]1.18134200620439[/C][/ROW]
[ROW][C]0.23[/C][C]181.698252892909[/C][C]1.47745327032565[/C][/ROW]
[ROW][C]0.24[/C][C]181.942814739598[/C][C]1.85574753724013[/C][/ROW]
[ROW][C]0.25[/C][C]182.240503730393[/C][C]2.325424219612[/C][/ROW]
[ROW][C]0.26[/C][C]182.603175235498[/C][C]2.89239803629992[/C][/ROW]
[ROW][C]0.27[/C][C]183.043227060449[/C][C]3.55917893805404[/C][/ROW]
[ROW][C]0.28[/C][C]183.573050696839[/C][C]4.32332995743862[/C][/ROW]
[ROW][C]0.29[/C][C]184.204347029557[/C][C]5.17606500717413[/C][/ROW]
[ROW][C]0.3[/C][C]184.947348634347[/C][C]6.10266318504231[/C][/ROW]
[ROW][C]0.31[/C][C]185.810005719751[/C][C]7.08140308862905[/C][/ROW]
[ROW][C]0.32[/C][C]186.797204578932[/C][C]8.0846696897843[/C][/ROW]
[ROW][C]0.33[/C][C]187.910093389293[/C][C]9.08022491749747[/C][/ROW]
[ROW][C]0.34[/C][C]189.145588326407[/C][C]10.0323368510561[/C][/ROW]
[ROW][C]0.35[/C][C]190.496122339145[/C][C]10.9045710866335[/C][/ROW]
[ROW][C]0.36[/C][C]191.949679979098[/C][C]11.6620998235081[/C][/ROW]
[ROW][C]0.37[/C][C]193.49013613292[/C][C]12.2737590615922[/C][/ROW]
[ROW][C]0.38[/C][C]195.097887233169[/C][C]12.7146341130131[/C][/ROW]
[ROW][C]0.39[/C][C]196.750734095983[/C][C]12.9680121257401[/C][/ROW]
[ROW][C]0.4[/C][C]198.424949701646[/C][C]13.0262428460961[/C][/ROW]
[ROW][C]0.41[/C][C]200.096446344243[/C][C]12.8914544302638[/C][/ROW]
[ROW][C]0.42[/C][C]201.741947058857[/C][C]12.5750305491104[/C][/ROW]
[ROW][C]0.43[/C][C]203.340067234908[/C][C]12.0966784047858[/C][/ROW]
[ROW][C]0.44[/C][C]204.872223549399[/C][C]11.4825674988666[/C][/ROW]
[ROW][C]0.45[/C][C]206.323307148838[/C][C]10.7634908787509[/C][/ROW]
[ROW][C]0.46[/C][C]207.682083644631[/C][C]9.97233741476489[/C][/ROW]
[ROW][C]0.47[/C][C]208.941310601727[/C][C]9.14217695102674[/C][/ROW]
[ROW][C]0.48[/C][C]210.097590312873[/C][C]8.30375783911185[/C][/ROW]
[ROW][C]0.49[/C][C]211.150998655927[/C][C]7.48430306418287[/C][/ROW]
[ROW][C]0.5[/C][C]212.104547402619[/C][C]6.7057066125857[/C][/ROW]
[ROW][C]0.51[/C][C]212.963546184896[/C][C]5.98463722625334[/C][/ROW]
[ROW][C]0.52[/C][C]213.734931233195[/C][C]5.33138490534803[/C][/ROW]
[ROW][C]0.53[/C][C]214.426621791248[/C][C]4.75090262490224[/C][/ROW]
[ROW][C]0.54[/C][C]215.046953374982[/C][C]4.24279144652509[/C][/ROW]
[ROW][C]0.55[/C][C]215.604221837039[/C][C]3.80301619498[/C][/ROW]
[ROW][C]0.56[/C][C]216.106355713376[/C][C]3.42514241108354[/C][/ROW]
[ROW][C]0.57[/C][C]216.560718580209[/C][C]3.10091653401251[/C][/ROW]
[ROW][C]0.58[/C][C]216.974029745792[/C][C]2.82258117587503[/C][/ROW]
[ROW][C]0.59[/C][C]217.352381603009[/C][C]2.58326404092678[/C][/ROW]
[ROW][C]0.6[/C][C]217.701325851758[/C][C]2.37784100673421[/C][/ROW]
[ROW][C]0.61[/C][C]218.02599850877[/C][C]2.20320766556992[/C][/ROW]
[ROW][C]0.62[/C][C]218.331254686858[/C][C]2.05804815138777[/C][/ROW]
[ROW][C]0.63[/C][C]218.621787815742[/C][C]1.94298338758263[/C][/ROW]
[ROW][C]0.64[/C][C]218.902213461644[/C][C]1.85921528841441[/C][/ROW]
[ROW][C]0.65[/C][C]219.177104387467[/C][C]1.8088563445617[/C][/ROW]
[ROW][C]0.66[/C][C]219.450970314667[/C][C]1.79271375208723[/C][/ROW]
[ROW][C]0.67[/C][C]219.728182511649[/C][C]1.81062343669302[/C][/ROW]
[ROW][C]0.68[/C][C]220.012849519573[/C][C]1.86059978519179[/C][/ROW]
[ROW][C]0.69[/C][C]220.30865583575[/C][C]1.93814463052889[/C][/ROW]
[ROW][C]0.7[/C][C]220.618680062482[/C][C]2.03726128871281[/C][/ROW]
[ROW][C]0.71[/C][C]220.945212735063[/C][C]2.15051640274785[/C][/ROW]
[ROW][C]0.72[/C][C]221.289596538506[/C][C]2.26939571592542[/C][/ROW]
[ROW][C]0.73[/C][C]221.652112592992[/C][C]2.38500715892782[/C][/ROW]
[ROW][C]0.74[/C][C]222.031935549601[/C][C]2.48867238344773[/C][/ROW]
[ROW][C]0.75[/C][C]222.427176995346[/C][C]2.57222530880502[/C][/ROW]
[ROW][C]0.76[/C][C]222.835030792863[/C][C]2.62894618785473[/C][/ROW]
[ROW][C]0.77[/C][C]223.252025305797[/C][C]2.65384136632333[/C][/ROW]
[ROW][C]0.78[/C][C]223.674376056916[/C][C]2.64439345112733[/C][/ROW]
[ROW][C]0.79[/C][C]224.098418616221[/C][C]2.60114495015449[/C][/ROW]
[ROW][C]0.8[/C][C]224.521086187091[/C][C]2.52795799143686[/C][/ROW]
[ROW][C]0.81[/C][C]224.940380686055[/C][C]2.43182727262743[/C][/ROW]
[ROW][C]0.82[/C][C]225.355771926961[/C][C]2.32312888566631[/C][/ROW]
[ROW][C]0.83[/C][C]225.768449406934[/C][C]2.21480488664532[/C][/ROW]
[ROW][C]0.84[/C][C]226.181348614017[/C][C]2.12135751990717[/C][/ROW]
[ROW][C]0.85[/C][C]226.598883025142[/C][C]2.05706328588826[/C][/ROW]
[ROW][C]0.86[/C][C]227.026338665698[/C][C]2.03236135730064[/C][/ROW]
[ROW][C]0.87[/C][C]227.468934004561[/C][C]2.05024450245959[/C][/ROW]
[ROW][C]0.88[/C][C]227.930614765686[/C][C]2.10353306053907[/C][/ROW]
[ROW][C]0.89[/C][C]228.412735626742[/C][C]2.17419875463895[/C][/ROW]
[ROW][C]0.9[/C][C]228.91286432074[/C][C]2.23621553301681[/C][/ROW]
[ROW][C]0.91[/C][C]229.424003259773[/C][C]2.2597824440651[/C][/ROW]
[ROW][C]0.92[/C][C]229.93452605286[/C][C]2.21668258504325[/C][/ROW]
[ROW][C]0.93[/C][C]230.429038387153[/C][C]2.08665339150045[/C][/ROW]
[ROW][C]0.94[/C][C]230.890179225448[/C][C]1.86304055312481[/C][/ROW]
[ROW][C]0.95[/C][C]231.301103022935[/C][C]1.55785962101268[/C][/ROW]
[ROW][C]0.96[/C][C]231.64810774905[/C][C]1.20257080603898[/C][/ROW]
[ROW][C]0.97[/C][C]231.922731291634[/C][C]0.844630931863262[/C][/ROW]
[ROW][C]0.98[/C][C]232.1227707595[/C][C]0.539136464087856[/C][/ROW]
[ROW][C]0.99[/C][C]232.252130572712[/C][C]0.336530589185336[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206959&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206959&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
0.01157.49851728747516.1330864579017
0.02160.67453553443414.1728213351856
0.03164.26405117480211.9329373528159
0.04167.7798893359329.70315895216758
0.05170.8999715070877.67217076993625
0.06173.4763429516485.9287321145144
0.07175.4923407162254.49289249936489
0.08177.0079352001363.34784625821516
0.09178.1149251149952.46143603816085
0.1178.9083045916441.79614724161184
0.11179.4717717384461.31481224179867
0.12179.8726983621950.98203937574823
0.13180.1622721941620.765848959274631
0.14180.3778921667790.637779084503849
0.15180.5461820491430.572688676447996
0.16180.6858582902530.551855561038779
0.17180.8101723000990.563886130654836
0.18180.9288763915060.605446900413117
0.19181.0497530150070.679531597540124
0.2181.1797722560430.793522209033899
0.21181.3259405670130.957015145701373
0.22181.495891360631.18134200620439
0.23181.6982528929091.47745327032565
0.24181.9428147395981.85574753724013
0.25182.2405037303932.325424219612
0.26182.6031752354982.89239803629992
0.27183.0432270604493.55917893805404
0.28183.5730506968394.32332995743862
0.29184.2043470295575.17606500717413
0.3184.9473486343476.10266318504231
0.31185.8100057197517.08140308862905
0.32186.7972045789328.0846696897843
0.33187.9100933892939.08022491749747
0.34189.14558832640710.0323368510561
0.35190.49612233914510.9045710866335
0.36191.94967997909811.6620998235081
0.37193.4901361329212.2737590615922
0.38195.09788723316912.7146341130131
0.39196.75073409598312.9680121257401
0.4198.42494970164613.0262428460961
0.41200.09644634424312.8914544302638
0.42201.74194705885712.5750305491104
0.43203.34006723490812.0966784047858
0.44204.87222354939911.4825674988666
0.45206.32330714883810.7634908787509
0.46207.6820836446319.97233741476489
0.47208.9413106017279.14217695102674
0.48210.0975903128738.30375783911185
0.49211.1509986559277.48430306418287
0.5212.1045474026196.7057066125857
0.51212.9635461848965.98463722625334
0.52213.7349312331955.33138490534803
0.53214.4266217912484.75090262490224
0.54215.0469533749824.24279144652509
0.55215.6042218370393.80301619498
0.56216.1063557133763.42514241108354
0.57216.5607185802093.10091653401251
0.58216.9740297457922.82258117587503
0.59217.3523816030092.58326404092678
0.6217.7013258517582.37784100673421
0.61218.025998508772.20320766556992
0.62218.3312546868582.05804815138777
0.63218.6217878157421.94298338758263
0.64218.9022134616441.85921528841441
0.65219.1771043874671.8088563445617
0.66219.4509703146671.79271375208723
0.67219.7281825116491.81062343669302
0.68220.0128495195731.86059978519179
0.69220.308655835751.93814463052889
0.7220.6186800624822.03726128871281
0.71220.9452127350632.15051640274785
0.72221.2895965385062.26939571592542
0.73221.6521125929922.38500715892782
0.74222.0319355496012.48867238344773
0.75222.4271769953462.57222530880502
0.76222.8350307928632.62894618785473
0.77223.2520253057972.65384136632333
0.78223.6743760569162.64439345112733
0.79224.0984186162212.60114495015449
0.8224.5210861870912.52795799143686
0.81224.9403806860552.43182727262743
0.82225.3557719269612.32312888566631
0.83225.7684494069342.21480488664532
0.84226.1813486140172.12135751990717
0.85226.5988830251422.05706328588826
0.86227.0263386656982.03236135730064
0.87227.4689340045612.05024450245959
0.88227.9306147656862.10353306053907
0.89228.4127356267422.17419875463895
0.9228.912864320742.23621553301681
0.91229.4240032597732.2597824440651
0.92229.934526052862.21668258504325
0.93230.4290383871532.08665339150045
0.94230.8901792254481.86304055312481
0.95231.3011030229351.55785962101268
0.96231.648107749051.20257080603898
0.97231.9227312916340.844630931863262
0.98232.12277075950.539136464087856
0.99232.2521305727120.336530589185336


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')