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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 computationWed, 29 Feb 2012 07:31:23 -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/2012/Feb/29/t1330518732s5ytt1ej83akv75.htm/, Retrieved Sun, 28 Apr 2024 21:47:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163330, Retrieved Sun, 28 Apr 2024 21:47:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact170

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...] [2012-02-29 12:31:23] [e62d671b72358dd26ba378cef43927ff] [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
216.88
216.19
214.59
269.87
272.71
280.35
274.5
268.86
261.7
263.98
263.01
262.79
263.59
267
267.89
267.86
266.84
268.24
267.67
269.07
270.87
271.68

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'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163330&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163330&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163330&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01159.24838267559115.1758261935827
0.02164.77715584974211.673011268857
0.03170.0228385381898.2711439942112
0.04174.048919605045.52816196049345
0.05176.7573023811423.53631074087107
0.06178.4370286916222.19474157342591
0.07179.4362759930621.35896506272051
0.08180.0300275684220.892399956329822
0.09180.4013660760140.68129700442334
0.1180.6625626360730.637693186686507
0.11180.8811782458260.710952703037398
0.12181.1006653504020.894314662580804
0.13181.3542689543221.20879660040993
0.14181.6733635801031.6855709789078
0.15182.0915078209542.35456914493015
0.16182.6452079322523.2345541921547
0.17183.3721478800644.32546269293042
0.18184.3075761123675.60197952532241
0.19185.479618251197.00955946571812
0.2186.904419277618.46732389808479
0.21188.5820922682439.87475404170095
0.22190.49436904015611.1240150485032
0.23192.60457522610312.1140385447189
0.24194.86012368520212.7657850067372
0.25197.19722941753213.0316711013603
0.26199.54711571374612.9034627302961
0.27201.84271072380512.4099518340815
0.28204.0247851763511.6123076509645
0.29206.04665332392210.5929836606262
0.3207.8768921220359.44420662007095
0.31209.4999360732348.25537461952042
0.32210.9147802470257.10425129263053
0.33212.1322962323976.04995920527769
0.34213.1717966293215.13140754211903
0.35214.0574739789754.36713921120381
0.36214.8152214373553.75778980344158
0.37215.4701628694743.29023586268142
0.38216.0450283095992.94339360477505
0.39216.5593455518832.69386432987145
0.4217.0293027740952.51950755783108
0.41217.4680772983412.40358208680765
0.42217.8864161939122.33499713786981
0.43218.2932825530122.30827645864744
0.44218.6964317428192.32071291804906
0.45219.1028408050452.37173246988054
0.46219.5189705482452.46014779860146
0.47219.9508863577852.58388489673697
0.48220.4042959866352.73991283195538
0.49220.8845785585162.92408605018678
0.5221.3968783674883.13255588465116
0.51221.9463207771933.36400822479422
0.52222.5383778472743.61981520689341
0.53223.1793718308353.9062026823357
0.54223.8770604265494.23433631423597
0.55224.6412050537414.62041906096749
0.56225.4839899318295.08338547936089
0.57226.4201432415715.64377568792289
0.58227.466619254086.31713270224323
0.59228.6417369636087.11184040492682
0.6229.9637374742378.02309908140894
0.61231.4488146654799.03117581816721
0.62233.10878044199910.1015548307606
0.63234.94862973402511.1829864496997
0.64236.96434950599612.2132198020937
0.65239.14134797700413.122470830791
0.66241.45384761984813.8413328062641
0.67243.86548165351114.3078395559759
0.68246.33116737201114.4760377634208
0.69248.80012607174914.3216777699676
0.7251.21971718827613.8461567873344
0.71253.53959755541913.0770398539173
0.72255.71564382008312.0648200014315
0.73257.7131085527110.8765227352674
0.74259.5086156437679.58750571303584
0.75261.0908098041718.27272776011775
0.76262.4597109813276.9991752889901
0.77263.6250334177065.81902614559319
0.78264.6038656152364.76828507253893
0.79265.4181473607383.86545431289237
0.8266.0923257952293.11489807594544
0.81266.6514509208212.51009055948434
0.82267.1198224822862.03886169222641
0.83267.5201656505271.68637716307375
0.84267.8732215020341.43817817833096
0.85268.1976014462541.28000291568008
0.86268.5097681797651.19794270805902
0.87268.8240570699681.17650365432088
0.88269.1527302633321.19993482998364
0.89269.5061593121871.25259275323434
0.9269.8933717056181.32079195855947
0.91270.3233976387641.39441909009539
0.92270.80813787151.46971853173767
0.93271.3677467540461.55413419367766
0.94272.0391888500821.67238808463731
0.95272.8858522496551.8762206066052
0.96273.9976890886032.25088420204243
0.97275.456750508922.89699477145256
0.98277.2373284028673.84744767790071
0.99279.0583784256824.93454168669806

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 159.248382675591 & 15.1758261935827 \tabularnewline
0.02 & 164.777155849742 & 11.673011268857 \tabularnewline
0.03 & 170.022838538189 & 8.2711439942112 \tabularnewline
0.04 & 174.04891960504 & 5.52816196049345 \tabularnewline
0.05 & 176.757302381142 & 3.53631074087107 \tabularnewline
0.06 & 178.437028691622 & 2.19474157342591 \tabularnewline
0.07 & 179.436275993062 & 1.35896506272051 \tabularnewline
0.08 & 180.030027568422 & 0.892399956329822 \tabularnewline
0.09 & 180.401366076014 & 0.68129700442334 \tabularnewline
0.1 & 180.662562636073 & 0.637693186686507 \tabularnewline
0.11 & 180.881178245826 & 0.710952703037398 \tabularnewline
0.12 & 181.100665350402 & 0.894314662580804 \tabularnewline
0.13 & 181.354268954322 & 1.20879660040993 \tabularnewline
0.14 & 181.673363580103 & 1.6855709789078 \tabularnewline
0.15 & 182.091507820954 & 2.35456914493015 \tabularnewline
0.16 & 182.645207932252 & 3.2345541921547 \tabularnewline
0.17 & 183.372147880064 & 4.32546269293042 \tabularnewline
0.18 & 184.307576112367 & 5.60197952532241 \tabularnewline
0.19 & 185.47961825119 & 7.00955946571812 \tabularnewline
0.2 & 186.90441927761 & 8.46732389808479 \tabularnewline
0.21 & 188.582092268243 & 9.87475404170095 \tabularnewline
0.22 & 190.494369040156 & 11.1240150485032 \tabularnewline
0.23 & 192.604575226103 & 12.1140385447189 \tabularnewline
0.24 & 194.860123685202 & 12.7657850067372 \tabularnewline
0.25 & 197.197229417532 & 13.0316711013603 \tabularnewline
0.26 & 199.547115713746 & 12.9034627302961 \tabularnewline
0.27 & 201.842710723805 & 12.4099518340815 \tabularnewline
0.28 & 204.02478517635 & 11.6123076509645 \tabularnewline
0.29 & 206.046653323922 & 10.5929836606262 \tabularnewline
0.3 & 207.876892122035 & 9.44420662007095 \tabularnewline
0.31 & 209.499936073234 & 8.25537461952042 \tabularnewline
0.32 & 210.914780247025 & 7.10425129263053 \tabularnewline
0.33 & 212.132296232397 & 6.04995920527769 \tabularnewline
0.34 & 213.171796629321 & 5.13140754211903 \tabularnewline
0.35 & 214.057473978975 & 4.36713921120381 \tabularnewline
0.36 & 214.815221437355 & 3.75778980344158 \tabularnewline
0.37 & 215.470162869474 & 3.29023586268142 \tabularnewline
0.38 & 216.045028309599 & 2.94339360477505 \tabularnewline
0.39 & 216.559345551883 & 2.69386432987145 \tabularnewline
0.4 & 217.029302774095 & 2.51950755783108 \tabularnewline
0.41 & 217.468077298341 & 2.40358208680765 \tabularnewline
0.42 & 217.886416193912 & 2.33499713786981 \tabularnewline
0.43 & 218.293282553012 & 2.30827645864744 \tabularnewline
0.44 & 218.696431742819 & 2.32071291804906 \tabularnewline
0.45 & 219.102840805045 & 2.37173246988054 \tabularnewline
0.46 & 219.518970548245 & 2.46014779860146 \tabularnewline
0.47 & 219.950886357785 & 2.58388489673697 \tabularnewline
0.48 & 220.404295986635 & 2.73991283195538 \tabularnewline
0.49 & 220.884578558516 & 2.92408605018678 \tabularnewline
0.5 & 221.396878367488 & 3.13255588465116 \tabularnewline
0.51 & 221.946320777193 & 3.36400822479422 \tabularnewline
0.52 & 222.538377847274 & 3.61981520689341 \tabularnewline
0.53 & 223.179371830835 & 3.9062026823357 \tabularnewline
0.54 & 223.877060426549 & 4.23433631423597 \tabularnewline
0.55 & 224.641205053741 & 4.62041906096749 \tabularnewline
0.56 & 225.483989931829 & 5.08338547936089 \tabularnewline
0.57 & 226.420143241571 & 5.64377568792289 \tabularnewline
0.58 & 227.46661925408 & 6.31713270224323 \tabularnewline
0.59 & 228.641736963608 & 7.11184040492682 \tabularnewline
0.6 & 229.963737474237 & 8.02309908140894 \tabularnewline
0.61 & 231.448814665479 & 9.03117581816721 \tabularnewline
0.62 & 233.108780441999 & 10.1015548307606 \tabularnewline
0.63 & 234.948629734025 & 11.1829864496997 \tabularnewline
0.64 & 236.964349505996 & 12.2132198020937 \tabularnewline
0.65 & 239.141347977004 & 13.122470830791 \tabularnewline
0.66 & 241.453847619848 & 13.8413328062641 \tabularnewline
0.67 & 243.865481653511 & 14.3078395559759 \tabularnewline
0.68 & 246.331167372011 & 14.4760377634208 \tabularnewline
0.69 & 248.800126071749 & 14.3216777699676 \tabularnewline
0.7 & 251.219717188276 & 13.8461567873344 \tabularnewline
0.71 & 253.539597555419 & 13.0770398539173 \tabularnewline
0.72 & 255.715643820083 & 12.0648200014315 \tabularnewline
0.73 & 257.71310855271 & 10.8765227352674 \tabularnewline
0.74 & 259.508615643767 & 9.58750571303584 \tabularnewline
0.75 & 261.090809804171 & 8.27272776011775 \tabularnewline
0.76 & 262.459710981327 & 6.9991752889901 \tabularnewline
0.77 & 263.625033417706 & 5.81902614559319 \tabularnewline
0.78 & 264.603865615236 & 4.76828507253893 \tabularnewline
0.79 & 265.418147360738 & 3.86545431289237 \tabularnewline
0.8 & 266.092325795229 & 3.11489807594544 \tabularnewline
0.81 & 266.651450920821 & 2.51009055948434 \tabularnewline
0.82 & 267.119822482286 & 2.03886169222641 \tabularnewline
0.83 & 267.520165650527 & 1.68637716307375 \tabularnewline
0.84 & 267.873221502034 & 1.43817817833096 \tabularnewline
0.85 & 268.197601446254 & 1.28000291568008 \tabularnewline
0.86 & 268.509768179765 & 1.19794270805902 \tabularnewline
0.87 & 268.824057069968 & 1.17650365432088 \tabularnewline
0.88 & 269.152730263332 & 1.19993482998364 \tabularnewline
0.89 & 269.506159312187 & 1.25259275323434 \tabularnewline
0.9 & 269.893371705618 & 1.32079195855947 \tabularnewline
0.91 & 270.323397638764 & 1.39441909009539 \tabularnewline
0.92 & 270.8081378715 & 1.46971853173767 \tabularnewline
0.93 & 271.367746754046 & 1.55413419367766 \tabularnewline
0.94 & 272.039188850082 & 1.67238808463731 \tabularnewline
0.95 & 272.885852249655 & 1.8762206066052 \tabularnewline
0.96 & 273.997689088603 & 2.25088420204243 \tabularnewline
0.97 & 275.45675050892 & 2.89699477145256 \tabularnewline
0.98 & 277.237328402867 & 3.84744767790071 \tabularnewline
0.99 & 279.058378425682 & 4.93454168669806 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163330&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]159.248382675591[/C][C]15.1758261935827[/C][/ROW]
[ROW][C]0.02[/C][C]164.777155849742[/C][C]11.673011268857[/C][/ROW]
[ROW][C]0.03[/C][C]170.022838538189[/C][C]8.2711439942112[/C][/ROW]
[ROW][C]0.04[/C][C]174.04891960504[/C][C]5.52816196049345[/C][/ROW]
[ROW][C]0.05[/C][C]176.757302381142[/C][C]3.53631074087107[/C][/ROW]
[ROW][C]0.06[/C][C]178.437028691622[/C][C]2.19474157342591[/C][/ROW]
[ROW][C]0.07[/C][C]179.436275993062[/C][C]1.35896506272051[/C][/ROW]
[ROW][C]0.08[/C][C]180.030027568422[/C][C]0.892399956329822[/C][/ROW]
[ROW][C]0.09[/C][C]180.401366076014[/C][C]0.68129700442334[/C][/ROW]
[ROW][C]0.1[/C][C]180.662562636073[/C][C]0.637693186686507[/C][/ROW]
[ROW][C]0.11[/C][C]180.881178245826[/C][C]0.710952703037398[/C][/ROW]
[ROW][C]0.12[/C][C]181.100665350402[/C][C]0.894314662580804[/C][/ROW]
[ROW][C]0.13[/C][C]181.354268954322[/C][C]1.20879660040993[/C][/ROW]
[ROW][C]0.14[/C][C]181.673363580103[/C][C]1.6855709789078[/C][/ROW]
[ROW][C]0.15[/C][C]182.091507820954[/C][C]2.35456914493015[/C][/ROW]
[ROW][C]0.16[/C][C]182.645207932252[/C][C]3.2345541921547[/C][/ROW]
[ROW][C]0.17[/C][C]183.372147880064[/C][C]4.32546269293042[/C][/ROW]
[ROW][C]0.18[/C][C]184.307576112367[/C][C]5.60197952532241[/C][/ROW]
[ROW][C]0.19[/C][C]185.47961825119[/C][C]7.00955946571812[/C][/ROW]
[ROW][C]0.2[/C][C]186.90441927761[/C][C]8.46732389808479[/C][/ROW]
[ROW][C]0.21[/C][C]188.582092268243[/C][C]9.87475404170095[/C][/ROW]
[ROW][C]0.22[/C][C]190.494369040156[/C][C]11.1240150485032[/C][/ROW]
[ROW][C]0.23[/C][C]192.604575226103[/C][C]12.1140385447189[/C][/ROW]
[ROW][C]0.24[/C][C]194.860123685202[/C][C]12.7657850067372[/C][/ROW]
[ROW][C]0.25[/C][C]197.197229417532[/C][C]13.0316711013603[/C][/ROW]
[ROW][C]0.26[/C][C]199.547115713746[/C][C]12.9034627302961[/C][/ROW]
[ROW][C]0.27[/C][C]201.842710723805[/C][C]12.4099518340815[/C][/ROW]
[ROW][C]0.28[/C][C]204.02478517635[/C][C]11.6123076509645[/C][/ROW]
[ROW][C]0.29[/C][C]206.046653323922[/C][C]10.5929836606262[/C][/ROW]
[ROW][C]0.3[/C][C]207.876892122035[/C][C]9.44420662007095[/C][/ROW]
[ROW][C]0.31[/C][C]209.499936073234[/C][C]8.25537461952042[/C][/ROW]
[ROW][C]0.32[/C][C]210.914780247025[/C][C]7.10425129263053[/C][/ROW]
[ROW][C]0.33[/C][C]212.132296232397[/C][C]6.04995920527769[/C][/ROW]
[ROW][C]0.34[/C][C]213.171796629321[/C][C]5.13140754211903[/C][/ROW]
[ROW][C]0.35[/C][C]214.057473978975[/C][C]4.36713921120381[/C][/ROW]
[ROW][C]0.36[/C][C]214.815221437355[/C][C]3.75778980344158[/C][/ROW]
[ROW][C]0.37[/C][C]215.470162869474[/C][C]3.29023586268142[/C][/ROW]
[ROW][C]0.38[/C][C]216.045028309599[/C][C]2.94339360477505[/C][/ROW]
[ROW][C]0.39[/C][C]216.559345551883[/C][C]2.69386432987145[/C][/ROW]
[ROW][C]0.4[/C][C]217.029302774095[/C][C]2.51950755783108[/C][/ROW]
[ROW][C]0.41[/C][C]217.468077298341[/C][C]2.40358208680765[/C][/ROW]
[ROW][C]0.42[/C][C]217.886416193912[/C][C]2.33499713786981[/C][/ROW]
[ROW][C]0.43[/C][C]218.293282553012[/C][C]2.30827645864744[/C][/ROW]
[ROW][C]0.44[/C][C]218.696431742819[/C][C]2.32071291804906[/C][/ROW]
[ROW][C]0.45[/C][C]219.102840805045[/C][C]2.37173246988054[/C][/ROW]
[ROW][C]0.46[/C][C]219.518970548245[/C][C]2.46014779860146[/C][/ROW]
[ROW][C]0.47[/C][C]219.950886357785[/C][C]2.58388489673697[/C][/ROW]
[ROW][C]0.48[/C][C]220.404295986635[/C][C]2.73991283195538[/C][/ROW]
[ROW][C]0.49[/C][C]220.884578558516[/C][C]2.92408605018678[/C][/ROW]
[ROW][C]0.5[/C][C]221.396878367488[/C][C]3.13255588465116[/C][/ROW]
[ROW][C]0.51[/C][C]221.946320777193[/C][C]3.36400822479422[/C][/ROW]
[ROW][C]0.52[/C][C]222.538377847274[/C][C]3.61981520689341[/C][/ROW]
[ROW][C]0.53[/C][C]223.179371830835[/C][C]3.9062026823357[/C][/ROW]
[ROW][C]0.54[/C][C]223.877060426549[/C][C]4.23433631423597[/C][/ROW]
[ROW][C]0.55[/C][C]224.641205053741[/C][C]4.62041906096749[/C][/ROW]
[ROW][C]0.56[/C][C]225.483989931829[/C][C]5.08338547936089[/C][/ROW]
[ROW][C]0.57[/C][C]226.420143241571[/C][C]5.64377568792289[/C][/ROW]
[ROW][C]0.58[/C][C]227.46661925408[/C][C]6.31713270224323[/C][/ROW]
[ROW][C]0.59[/C][C]228.641736963608[/C][C]7.11184040492682[/C][/ROW]
[ROW][C]0.6[/C][C]229.963737474237[/C][C]8.02309908140894[/C][/ROW]
[ROW][C]0.61[/C][C]231.448814665479[/C][C]9.03117581816721[/C][/ROW]
[ROW][C]0.62[/C][C]233.108780441999[/C][C]10.1015548307606[/C][/ROW]
[ROW][C]0.63[/C][C]234.948629734025[/C][C]11.1829864496997[/C][/ROW]
[ROW][C]0.64[/C][C]236.964349505996[/C][C]12.2132198020937[/C][/ROW]
[ROW][C]0.65[/C][C]239.141347977004[/C][C]13.122470830791[/C][/ROW]
[ROW][C]0.66[/C][C]241.453847619848[/C][C]13.8413328062641[/C][/ROW]
[ROW][C]0.67[/C][C]243.865481653511[/C][C]14.3078395559759[/C][/ROW]
[ROW][C]0.68[/C][C]246.331167372011[/C][C]14.4760377634208[/C][/ROW]
[ROW][C]0.69[/C][C]248.800126071749[/C][C]14.3216777699676[/C][/ROW]
[ROW][C]0.7[/C][C]251.219717188276[/C][C]13.8461567873344[/C][/ROW]
[ROW][C]0.71[/C][C]253.539597555419[/C][C]13.0770398539173[/C][/ROW]
[ROW][C]0.72[/C][C]255.715643820083[/C][C]12.0648200014315[/C][/ROW]
[ROW][C]0.73[/C][C]257.71310855271[/C][C]10.8765227352674[/C][/ROW]
[ROW][C]0.74[/C][C]259.508615643767[/C][C]9.58750571303584[/C][/ROW]
[ROW][C]0.75[/C][C]261.090809804171[/C][C]8.27272776011775[/C][/ROW]
[ROW][C]0.76[/C][C]262.459710981327[/C][C]6.9991752889901[/C][/ROW]
[ROW][C]0.77[/C][C]263.625033417706[/C][C]5.81902614559319[/C][/ROW]
[ROW][C]0.78[/C][C]264.603865615236[/C][C]4.76828507253893[/C][/ROW]
[ROW][C]0.79[/C][C]265.418147360738[/C][C]3.86545431289237[/C][/ROW]
[ROW][C]0.8[/C][C]266.092325795229[/C][C]3.11489807594544[/C][/ROW]
[ROW][C]0.81[/C][C]266.651450920821[/C][C]2.51009055948434[/C][/ROW]
[ROW][C]0.82[/C][C]267.119822482286[/C][C]2.03886169222641[/C][/ROW]
[ROW][C]0.83[/C][C]267.520165650527[/C][C]1.68637716307375[/C][/ROW]
[ROW][C]0.84[/C][C]267.873221502034[/C][C]1.43817817833096[/C][/ROW]
[ROW][C]0.85[/C][C]268.197601446254[/C][C]1.28000291568008[/C][/ROW]
[ROW][C]0.86[/C][C]268.509768179765[/C][C]1.19794270805902[/C][/ROW]
[ROW][C]0.87[/C][C]268.824057069968[/C][C]1.17650365432088[/C][/ROW]
[ROW][C]0.88[/C][C]269.152730263332[/C][C]1.19993482998364[/C][/ROW]
[ROW][C]0.89[/C][C]269.506159312187[/C][C]1.25259275323434[/C][/ROW]
[ROW][C]0.9[/C][C]269.893371705618[/C][C]1.32079195855947[/C][/ROW]
[ROW][C]0.91[/C][C]270.323397638764[/C][C]1.39441909009539[/C][/ROW]
[ROW][C]0.92[/C][C]270.8081378715[/C][C]1.46971853173767[/C][/ROW]
[ROW][C]0.93[/C][C]271.367746754046[/C][C]1.55413419367766[/C][/ROW]
[ROW][C]0.94[/C][C]272.039188850082[/C][C]1.67238808463731[/C][/ROW]
[ROW][C]0.95[/C][C]272.885852249655[/C][C]1.8762206066052[/C][/ROW]
[ROW][C]0.96[/C][C]273.997689088603[/C][C]2.25088420204243[/C][/ROW]
[ROW][C]0.97[/C][C]275.45675050892[/C][C]2.89699477145256[/C][/ROW]
[ROW][C]0.98[/C][C]277.237328402867[/C][C]3.84744767790071[/C][/ROW]
[ROW][C]0.99[/C][C]279.058378425682[/C][C]4.93454168669806[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163330&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163330&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
0.01159.24838267559115.1758261935827
0.02164.77715584974211.673011268857
0.03170.0228385381898.2711439942112
0.04174.048919605045.52816196049345
0.05176.7573023811423.53631074087107
0.06178.4370286916222.19474157342591
0.07179.4362759930621.35896506272051
0.08180.0300275684220.892399956329822
0.09180.4013660760140.68129700442334
0.1180.6625626360730.637693186686507
0.11180.8811782458260.710952703037398
0.12181.1006653504020.894314662580804
0.13181.3542689543221.20879660040993
0.14181.6733635801031.6855709789078
0.15182.0915078209542.35456914493015
0.16182.6452079322523.2345541921547
0.17183.3721478800644.32546269293042
0.18184.3075761123675.60197952532241
0.19185.479618251197.00955946571812
0.2186.904419277618.46732389808479
0.21188.5820922682439.87475404170095
0.22190.49436904015611.1240150485032
0.23192.60457522610312.1140385447189
0.24194.86012368520212.7657850067372
0.25197.19722941753213.0316711013603
0.26199.54711571374612.9034627302961
0.27201.84271072380512.4099518340815
0.28204.0247851763511.6123076509645
0.29206.04665332392210.5929836606262
0.3207.8768921220359.44420662007095
0.31209.4999360732348.25537461952042
0.32210.9147802470257.10425129263053
0.33212.1322962323976.04995920527769
0.34213.1717966293215.13140754211903
0.35214.0574739789754.36713921120381
0.36214.8152214373553.75778980344158
0.37215.4701628694743.29023586268142
0.38216.0450283095992.94339360477505
0.39216.5593455518832.69386432987145
0.4217.0293027740952.51950755783108
0.41217.4680772983412.40358208680765
0.42217.8864161939122.33499713786981
0.43218.2932825530122.30827645864744
0.44218.6964317428192.32071291804906
0.45219.1028408050452.37173246988054
0.46219.5189705482452.46014779860146
0.47219.9508863577852.58388489673697
0.48220.4042959866352.73991283195538
0.49220.8845785585162.92408605018678
0.5221.3968783674883.13255588465116
0.51221.9463207771933.36400822479422
0.52222.5383778472743.61981520689341
0.53223.1793718308353.9062026823357
0.54223.8770604265494.23433631423597
0.55224.6412050537414.62041906096749
0.56225.4839899318295.08338547936089
0.57226.4201432415715.64377568792289
0.58227.466619254086.31713270224323
0.59228.6417369636087.11184040492682
0.6229.9637374742378.02309908140894
0.61231.4488146654799.03117581816721
0.62233.10878044199910.1015548307606
0.63234.94862973402511.1829864496997
0.64236.96434950599612.2132198020937
0.65239.14134797700413.122470830791
0.66241.45384761984813.8413328062641
0.67243.86548165351114.3078395559759
0.68246.33116737201114.4760377634208
0.69248.80012607174914.3216777699676
0.7251.21971718827613.8461567873344
0.71253.53959755541913.0770398539173
0.72255.71564382008312.0648200014315
0.73257.7131085527110.8765227352674
0.74259.5086156437679.58750571303584
0.75261.0908098041718.27272776011775
0.76262.4597109813276.9991752889901
0.77263.6250334177065.81902614559319
0.78264.6038656152364.76828507253893
0.79265.4181473607383.86545431289237
0.8266.0923257952293.11489807594544
0.81266.6514509208212.51009055948434
0.82267.1198224822862.03886169222641
0.83267.5201656505271.68637716307375
0.84267.8732215020341.43817817833096
0.85268.1976014462541.28000291568008
0.86268.5097681797651.19794270805902
0.87268.8240570699681.17650365432088
0.88269.1527302633321.19993482998364
0.89269.5061593121871.25259275323434
0.9269.8933717056181.32079195855947
0.91270.3233976387641.39441909009539
0.92270.80813787151.46971853173767
0.93271.3677467540461.55413419367766
0.94272.0391888500821.67238808463731
0.95272.8858522496551.8762206066052
0.96273.9976890886032.25088420204243
0.97275.456750508922.89699477145256
0.98277.2373284028673.84744767790071
0.99279.0583784256824.93454168669806


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')