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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, 08 Aug 2016 11:54:44 +0100
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/Aug/08/t14706537415q6cs6plkjxqh3w.htm/, Retrieved Mon, 29 Apr 2024 15:22:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=296084, Retrieved Mon, 29 Apr 2024 15:22:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact158

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] [] [2015-10-09 16:31:23] [39c526a439265efa15f7db403b90ebd6]
- R  D    [Harrell-Davis Quantiles] [] [2016-08-08 10:54:44] [047b71d569822bc9ea0d1a14ab5e311b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296084&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296084&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296084&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012904.94653887988315.648152986738
0.023163.9605412661260.528616827553
0.033373.84381819944247.546684702296
0.043537.06225967515230.985748387518
0.053665.61107515424197.584598688988
0.063764.63449457349159.611947240278
0.073840.29838460741133.247533329377
0.083901.6817790409128.664565082822
0.093958.22882299382144.827154168819
0.14016.96678963422171.48515044913
0.114081.13596582206197.448201493378
0.124150.38088338467214.827560973039
0.134221.98580627393220.068632031104
0.144292.42667411584213.695085615714
0.154358.64507603017198.985833469446
0.164418.75878666077180.36960571196
0.174472.2148721992162.006989299158
0.184519.55702359003146.949681359689
0.194562.01275465552136.846318786536
0.24601.06113252789131.915861978247
0.214638.07706616836131.150200008451
0.224674.09757900417132.846591986739
0.234709.72313925187135.172972409709
0.244745.14333380395136.716399080673
0.254780.25462834328136.77650903032
0.264814.82172654523135.384784137239
0.274848.63031458286133.112444831551
0.284881.59082799138130.819368348361
0.294913.7756415309129.29403337566
0.34945.39602498256129.015672285863
0.314976.74124352579130.116962811372
0.325008.10633292462132.386689061911
0.335039.72933897629135.399414635126
0.345071.74876217362138.636025977651
0.355104.18318428479141.558349326128
0.365136.93051639848143.650877811734
0.375169.78367878859144.4896955402
0.385202.46044357108143.77648934568
0.395234.64521005593141.453480108299
0.45266.03863613297137.685057762493
0.415296.40809620417132.888155129938
0.425325.62971457732127.687627386261
0.435353.71292643222122.782850532257
0.445380.80172951423118.848034300821
0.455407.15219687084116.386389637282
0.465433.09164116436115.644776660905
0.475458.96911783988116.558019057226
0.485485.10841866234118.845388138752
0.495511.77307496907122.099351465795
0.55539.14889908149125.871952106422
0.515567.34459654644129.816104213859
0.525596.40645020522133.702894011899
0.535626.34017497903137.406366196168
0.545657.13238565029140.94625002178
0.555688.76569127813144.341943513823
0.565721.22461337338147.664182036861
0.575754.49324798572150.878380402815
0.585788.54859303518153.908396636996
0.595823.35468046135156.651720872365
0.65858.86164379046159.013332933663
0.615895.01104995928160.95625676313
0.625931.74546767218162.509377503737
0.635969.01790921814163.779425019999
0.646006.79668089047164.868796174246
0.656045.0635369986165.844828408926
0.666083.80687894176166.715400953142
0.676123.01522435451167.427552723065
0.686162.67733295716167.930486339832
0.696202.79304722125168.236752951868
0.76243.39339678135168.505126013311
0.716284.56180211568169.013670764429
0.726326.44344544126170.092834288384
0.736369.23016864009171.980930447956
0.746413.11503640753174.655761921006
0.756458.22237000075177.7026567189
0.766504.53102026674180.332853850052
0.776551.81533695553181.582451256387
0.786599.62640113217180.521936853552
0.796647.32681072301176.555296223667
0.86694.18033394423169.522927753535
0.816739.48732774377159.806856081814
0.826782.74866594777148.346855569345
0.836823.83416693706136.609649071096
0.846863.12995309879126.493270746696
0.856901.65311848588120.129326013024
0.866941.15563843363119.634391944575
0.876984.26659915291127.137403530871
0.887034.67865443775145.092104076665
0.897097.21619759224176.06575148287
0.97177.38759113169220.54061031889
0.917279.972219346273.529566211214
0.927406.66239680255322.819238527079
0.937553.812796257351.747895267831
0.947712.21995791086347.371782396507
0.957870.14660700037309.966077886139
0.968018.0752435926254.558001190186
0.978152.30959037854197.299006920422
0.988278.05254841105147.447853046176
0.998404.62975274931146.305005815623

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2904.94653887988 & 315.648152986738 \tabularnewline
0.02 & 3163.9605412661 & 260.528616827553 \tabularnewline
0.03 & 3373.84381819944 & 247.546684702296 \tabularnewline
0.04 & 3537.06225967515 & 230.985748387518 \tabularnewline
0.05 & 3665.61107515424 & 197.584598688988 \tabularnewline
0.06 & 3764.63449457349 & 159.611947240278 \tabularnewline
0.07 & 3840.29838460741 & 133.247533329377 \tabularnewline
0.08 & 3901.6817790409 & 128.664565082822 \tabularnewline
0.09 & 3958.22882299382 & 144.827154168819 \tabularnewline
0.1 & 4016.96678963422 & 171.48515044913 \tabularnewline
0.11 & 4081.13596582206 & 197.448201493378 \tabularnewline
0.12 & 4150.38088338467 & 214.827560973039 \tabularnewline
0.13 & 4221.98580627393 & 220.068632031104 \tabularnewline
0.14 & 4292.42667411584 & 213.695085615714 \tabularnewline
0.15 & 4358.64507603017 & 198.985833469446 \tabularnewline
0.16 & 4418.75878666077 & 180.36960571196 \tabularnewline
0.17 & 4472.2148721992 & 162.006989299158 \tabularnewline
0.18 & 4519.55702359003 & 146.949681359689 \tabularnewline
0.19 & 4562.01275465552 & 136.846318786536 \tabularnewline
0.2 & 4601.06113252789 & 131.915861978247 \tabularnewline
0.21 & 4638.07706616836 & 131.150200008451 \tabularnewline
0.22 & 4674.09757900417 & 132.846591986739 \tabularnewline
0.23 & 4709.72313925187 & 135.172972409709 \tabularnewline
0.24 & 4745.14333380395 & 136.716399080673 \tabularnewline
0.25 & 4780.25462834328 & 136.77650903032 \tabularnewline
0.26 & 4814.82172654523 & 135.384784137239 \tabularnewline
0.27 & 4848.63031458286 & 133.112444831551 \tabularnewline
0.28 & 4881.59082799138 & 130.819368348361 \tabularnewline
0.29 & 4913.7756415309 & 129.29403337566 \tabularnewline
0.3 & 4945.39602498256 & 129.015672285863 \tabularnewline
0.31 & 4976.74124352579 & 130.116962811372 \tabularnewline
0.32 & 5008.10633292462 & 132.386689061911 \tabularnewline
0.33 & 5039.72933897629 & 135.399414635126 \tabularnewline
0.34 & 5071.74876217362 & 138.636025977651 \tabularnewline
0.35 & 5104.18318428479 & 141.558349326128 \tabularnewline
0.36 & 5136.93051639848 & 143.650877811734 \tabularnewline
0.37 & 5169.78367878859 & 144.4896955402 \tabularnewline
0.38 & 5202.46044357108 & 143.77648934568 \tabularnewline
0.39 & 5234.64521005593 & 141.453480108299 \tabularnewline
0.4 & 5266.03863613297 & 137.685057762493 \tabularnewline
0.41 & 5296.40809620417 & 132.888155129938 \tabularnewline
0.42 & 5325.62971457732 & 127.687627386261 \tabularnewline
0.43 & 5353.71292643222 & 122.782850532257 \tabularnewline
0.44 & 5380.80172951423 & 118.848034300821 \tabularnewline
0.45 & 5407.15219687084 & 116.386389637282 \tabularnewline
0.46 & 5433.09164116436 & 115.644776660905 \tabularnewline
0.47 & 5458.96911783988 & 116.558019057226 \tabularnewline
0.48 & 5485.10841866234 & 118.845388138752 \tabularnewline
0.49 & 5511.77307496907 & 122.099351465795 \tabularnewline
0.5 & 5539.14889908149 & 125.871952106422 \tabularnewline
0.51 & 5567.34459654644 & 129.816104213859 \tabularnewline
0.52 & 5596.40645020522 & 133.702894011899 \tabularnewline
0.53 & 5626.34017497903 & 137.406366196168 \tabularnewline
0.54 & 5657.13238565029 & 140.94625002178 \tabularnewline
0.55 & 5688.76569127813 & 144.341943513823 \tabularnewline
0.56 & 5721.22461337338 & 147.664182036861 \tabularnewline
0.57 & 5754.49324798572 & 150.878380402815 \tabularnewline
0.58 & 5788.54859303518 & 153.908396636996 \tabularnewline
0.59 & 5823.35468046135 & 156.651720872365 \tabularnewline
0.6 & 5858.86164379046 & 159.013332933663 \tabularnewline
0.61 & 5895.01104995928 & 160.95625676313 \tabularnewline
0.62 & 5931.74546767218 & 162.509377503737 \tabularnewline
0.63 & 5969.01790921814 & 163.779425019999 \tabularnewline
0.64 & 6006.79668089047 & 164.868796174246 \tabularnewline
0.65 & 6045.0635369986 & 165.844828408926 \tabularnewline
0.66 & 6083.80687894176 & 166.715400953142 \tabularnewline
0.67 & 6123.01522435451 & 167.427552723065 \tabularnewline
0.68 & 6162.67733295716 & 167.930486339832 \tabularnewline
0.69 & 6202.79304722125 & 168.236752951868 \tabularnewline
0.7 & 6243.39339678135 & 168.505126013311 \tabularnewline
0.71 & 6284.56180211568 & 169.013670764429 \tabularnewline
0.72 & 6326.44344544126 & 170.092834288384 \tabularnewline
0.73 & 6369.23016864009 & 171.980930447956 \tabularnewline
0.74 & 6413.11503640753 & 174.655761921006 \tabularnewline
0.75 & 6458.22237000075 & 177.7026567189 \tabularnewline
0.76 & 6504.53102026674 & 180.332853850052 \tabularnewline
0.77 & 6551.81533695553 & 181.582451256387 \tabularnewline
0.78 & 6599.62640113217 & 180.521936853552 \tabularnewline
0.79 & 6647.32681072301 & 176.555296223667 \tabularnewline
0.8 & 6694.18033394423 & 169.522927753535 \tabularnewline
0.81 & 6739.48732774377 & 159.806856081814 \tabularnewline
0.82 & 6782.74866594777 & 148.346855569345 \tabularnewline
0.83 & 6823.83416693706 & 136.609649071096 \tabularnewline
0.84 & 6863.12995309879 & 126.493270746696 \tabularnewline
0.85 & 6901.65311848588 & 120.129326013024 \tabularnewline
0.86 & 6941.15563843363 & 119.634391944575 \tabularnewline
0.87 & 6984.26659915291 & 127.137403530871 \tabularnewline
0.88 & 7034.67865443775 & 145.092104076665 \tabularnewline
0.89 & 7097.21619759224 & 176.06575148287 \tabularnewline
0.9 & 7177.38759113169 & 220.54061031889 \tabularnewline
0.91 & 7279.972219346 & 273.529566211214 \tabularnewline
0.92 & 7406.66239680255 & 322.819238527079 \tabularnewline
0.93 & 7553.812796257 & 351.747895267831 \tabularnewline
0.94 & 7712.21995791086 & 347.371782396507 \tabularnewline
0.95 & 7870.14660700037 & 309.966077886139 \tabularnewline
0.96 & 8018.0752435926 & 254.558001190186 \tabularnewline
0.97 & 8152.30959037854 & 197.299006920422 \tabularnewline
0.98 & 8278.05254841105 & 147.447853046176 \tabularnewline
0.99 & 8404.62975274931 & 146.305005815623 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=296084&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]2904.94653887988[/C][C]315.648152986738[/C][/ROW]
[ROW][C]0.02[/C][C]3163.9605412661[/C][C]260.528616827553[/C][/ROW]
[ROW][C]0.03[/C][C]3373.84381819944[/C][C]247.546684702296[/C][/ROW]
[ROW][C]0.04[/C][C]3537.06225967515[/C][C]230.985748387518[/C][/ROW]
[ROW][C]0.05[/C][C]3665.61107515424[/C][C]197.584598688988[/C][/ROW]
[ROW][C]0.06[/C][C]3764.63449457349[/C][C]159.611947240278[/C][/ROW]
[ROW][C]0.07[/C][C]3840.29838460741[/C][C]133.247533329377[/C][/ROW]
[ROW][C]0.08[/C][C]3901.6817790409[/C][C]128.664565082822[/C][/ROW]
[ROW][C]0.09[/C][C]3958.22882299382[/C][C]144.827154168819[/C][/ROW]
[ROW][C]0.1[/C][C]4016.96678963422[/C][C]171.48515044913[/C][/ROW]
[ROW][C]0.11[/C][C]4081.13596582206[/C][C]197.448201493378[/C][/ROW]
[ROW][C]0.12[/C][C]4150.38088338467[/C][C]214.827560973039[/C][/ROW]
[ROW][C]0.13[/C][C]4221.98580627393[/C][C]220.068632031104[/C][/ROW]
[ROW][C]0.14[/C][C]4292.42667411584[/C][C]213.695085615714[/C][/ROW]
[ROW][C]0.15[/C][C]4358.64507603017[/C][C]198.985833469446[/C][/ROW]
[ROW][C]0.16[/C][C]4418.75878666077[/C][C]180.36960571196[/C][/ROW]
[ROW][C]0.17[/C][C]4472.2148721992[/C][C]162.006989299158[/C][/ROW]
[ROW][C]0.18[/C][C]4519.55702359003[/C][C]146.949681359689[/C][/ROW]
[ROW][C]0.19[/C][C]4562.01275465552[/C][C]136.846318786536[/C][/ROW]
[ROW][C]0.2[/C][C]4601.06113252789[/C][C]131.915861978247[/C][/ROW]
[ROW][C]0.21[/C][C]4638.07706616836[/C][C]131.150200008451[/C][/ROW]
[ROW][C]0.22[/C][C]4674.09757900417[/C][C]132.846591986739[/C][/ROW]
[ROW][C]0.23[/C][C]4709.72313925187[/C][C]135.172972409709[/C][/ROW]
[ROW][C]0.24[/C][C]4745.14333380395[/C][C]136.716399080673[/C][/ROW]
[ROW][C]0.25[/C][C]4780.25462834328[/C][C]136.77650903032[/C][/ROW]
[ROW][C]0.26[/C][C]4814.82172654523[/C][C]135.384784137239[/C][/ROW]
[ROW][C]0.27[/C][C]4848.63031458286[/C][C]133.112444831551[/C][/ROW]
[ROW][C]0.28[/C][C]4881.59082799138[/C][C]130.819368348361[/C][/ROW]
[ROW][C]0.29[/C][C]4913.7756415309[/C][C]129.29403337566[/C][/ROW]
[ROW][C]0.3[/C][C]4945.39602498256[/C][C]129.015672285863[/C][/ROW]
[ROW][C]0.31[/C][C]4976.74124352579[/C][C]130.116962811372[/C][/ROW]
[ROW][C]0.32[/C][C]5008.10633292462[/C][C]132.386689061911[/C][/ROW]
[ROW][C]0.33[/C][C]5039.72933897629[/C][C]135.399414635126[/C][/ROW]
[ROW][C]0.34[/C][C]5071.74876217362[/C][C]138.636025977651[/C][/ROW]
[ROW][C]0.35[/C][C]5104.18318428479[/C][C]141.558349326128[/C][/ROW]
[ROW][C]0.36[/C][C]5136.93051639848[/C][C]143.650877811734[/C][/ROW]
[ROW][C]0.37[/C][C]5169.78367878859[/C][C]144.4896955402[/C][/ROW]
[ROW][C]0.38[/C][C]5202.46044357108[/C][C]143.77648934568[/C][/ROW]
[ROW][C]0.39[/C][C]5234.64521005593[/C][C]141.453480108299[/C][/ROW]
[ROW][C]0.4[/C][C]5266.03863613297[/C][C]137.685057762493[/C][/ROW]
[ROW][C]0.41[/C][C]5296.40809620417[/C][C]132.888155129938[/C][/ROW]
[ROW][C]0.42[/C][C]5325.62971457732[/C][C]127.687627386261[/C][/ROW]
[ROW][C]0.43[/C][C]5353.71292643222[/C][C]122.782850532257[/C][/ROW]
[ROW][C]0.44[/C][C]5380.80172951423[/C][C]118.848034300821[/C][/ROW]
[ROW][C]0.45[/C][C]5407.15219687084[/C][C]116.386389637282[/C][/ROW]
[ROW][C]0.46[/C][C]5433.09164116436[/C][C]115.644776660905[/C][/ROW]
[ROW][C]0.47[/C][C]5458.96911783988[/C][C]116.558019057226[/C][/ROW]
[ROW][C]0.48[/C][C]5485.10841866234[/C][C]118.845388138752[/C][/ROW]
[ROW][C]0.49[/C][C]5511.77307496907[/C][C]122.099351465795[/C][/ROW]
[ROW][C]0.5[/C][C]5539.14889908149[/C][C]125.871952106422[/C][/ROW]
[ROW][C]0.51[/C][C]5567.34459654644[/C][C]129.816104213859[/C][/ROW]
[ROW][C]0.52[/C][C]5596.40645020522[/C][C]133.702894011899[/C][/ROW]
[ROW][C]0.53[/C][C]5626.34017497903[/C][C]137.406366196168[/C][/ROW]
[ROW][C]0.54[/C][C]5657.13238565029[/C][C]140.94625002178[/C][/ROW]
[ROW][C]0.55[/C][C]5688.76569127813[/C][C]144.341943513823[/C][/ROW]
[ROW][C]0.56[/C][C]5721.22461337338[/C][C]147.664182036861[/C][/ROW]
[ROW][C]0.57[/C][C]5754.49324798572[/C][C]150.878380402815[/C][/ROW]
[ROW][C]0.58[/C][C]5788.54859303518[/C][C]153.908396636996[/C][/ROW]
[ROW][C]0.59[/C][C]5823.35468046135[/C][C]156.651720872365[/C][/ROW]
[ROW][C]0.6[/C][C]5858.86164379046[/C][C]159.013332933663[/C][/ROW]
[ROW][C]0.61[/C][C]5895.01104995928[/C][C]160.95625676313[/C][/ROW]
[ROW][C]0.62[/C][C]5931.74546767218[/C][C]162.509377503737[/C][/ROW]
[ROW][C]0.63[/C][C]5969.01790921814[/C][C]163.779425019999[/C][/ROW]
[ROW][C]0.64[/C][C]6006.79668089047[/C][C]164.868796174246[/C][/ROW]
[ROW][C]0.65[/C][C]6045.0635369986[/C][C]165.844828408926[/C][/ROW]
[ROW][C]0.66[/C][C]6083.80687894176[/C][C]166.715400953142[/C][/ROW]
[ROW][C]0.67[/C][C]6123.01522435451[/C][C]167.427552723065[/C][/ROW]
[ROW][C]0.68[/C][C]6162.67733295716[/C][C]167.930486339832[/C][/ROW]
[ROW][C]0.69[/C][C]6202.79304722125[/C][C]168.236752951868[/C][/ROW]
[ROW][C]0.7[/C][C]6243.39339678135[/C][C]168.505126013311[/C][/ROW]
[ROW][C]0.71[/C][C]6284.56180211568[/C][C]169.013670764429[/C][/ROW]
[ROW][C]0.72[/C][C]6326.44344544126[/C][C]170.092834288384[/C][/ROW]
[ROW][C]0.73[/C][C]6369.23016864009[/C][C]171.980930447956[/C][/ROW]
[ROW][C]0.74[/C][C]6413.11503640753[/C][C]174.655761921006[/C][/ROW]
[ROW][C]0.75[/C][C]6458.22237000075[/C][C]177.7026567189[/C][/ROW]
[ROW][C]0.76[/C][C]6504.53102026674[/C][C]180.332853850052[/C][/ROW]
[ROW][C]0.77[/C][C]6551.81533695553[/C][C]181.582451256387[/C][/ROW]
[ROW][C]0.78[/C][C]6599.62640113217[/C][C]180.521936853552[/C][/ROW]
[ROW][C]0.79[/C][C]6647.32681072301[/C][C]176.555296223667[/C][/ROW]
[ROW][C]0.8[/C][C]6694.18033394423[/C][C]169.522927753535[/C][/ROW]
[ROW][C]0.81[/C][C]6739.48732774377[/C][C]159.806856081814[/C][/ROW]
[ROW][C]0.82[/C][C]6782.74866594777[/C][C]148.346855569345[/C][/ROW]
[ROW][C]0.83[/C][C]6823.83416693706[/C][C]136.609649071096[/C][/ROW]
[ROW][C]0.84[/C][C]6863.12995309879[/C][C]126.493270746696[/C][/ROW]
[ROW][C]0.85[/C][C]6901.65311848588[/C][C]120.129326013024[/C][/ROW]
[ROW][C]0.86[/C][C]6941.15563843363[/C][C]119.634391944575[/C][/ROW]
[ROW][C]0.87[/C][C]6984.26659915291[/C][C]127.137403530871[/C][/ROW]
[ROW][C]0.88[/C][C]7034.67865443775[/C][C]145.092104076665[/C][/ROW]
[ROW][C]0.89[/C][C]7097.21619759224[/C][C]176.06575148287[/C][/ROW]
[ROW][C]0.9[/C][C]7177.38759113169[/C][C]220.54061031889[/C][/ROW]
[ROW][C]0.91[/C][C]7279.972219346[/C][C]273.529566211214[/C][/ROW]
[ROW][C]0.92[/C][C]7406.66239680255[/C][C]322.819238527079[/C][/ROW]
[ROW][C]0.93[/C][C]7553.812796257[/C][C]351.747895267831[/C][/ROW]
[ROW][C]0.94[/C][C]7712.21995791086[/C][C]347.371782396507[/C][/ROW]
[ROW][C]0.95[/C][C]7870.14660700037[/C][C]309.966077886139[/C][/ROW]
[ROW][C]0.96[/C][C]8018.0752435926[/C][C]254.558001190186[/C][/ROW]
[ROW][C]0.97[/C][C]8152.30959037854[/C][C]197.299006920422[/C][/ROW]
[ROW][C]0.98[/C][C]8278.05254841105[/C][C]147.447853046176[/C][/ROW]
[ROW][C]0.99[/C][C]8404.62975274931[/C][C]146.305005815623[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=296084&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=296084&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
0.012904.94653887988315.648152986738
0.023163.9605412661260.528616827553
0.033373.84381819944247.546684702296
0.043537.06225967515230.985748387518
0.053665.61107515424197.584598688988
0.063764.63449457349159.611947240278
0.073840.29838460741133.247533329377
0.083901.6817790409128.664565082822
0.093958.22882299382144.827154168819
0.14016.96678963422171.48515044913
0.114081.13596582206197.448201493378
0.124150.38088338467214.827560973039
0.134221.98580627393220.068632031104
0.144292.42667411584213.695085615714
0.154358.64507603017198.985833469446
0.164418.75878666077180.36960571196
0.174472.2148721992162.006989299158
0.184519.55702359003146.949681359689
0.194562.01275465552136.846318786536
0.24601.06113252789131.915861978247
0.214638.07706616836131.150200008451
0.224674.09757900417132.846591986739
0.234709.72313925187135.172972409709
0.244745.14333380395136.716399080673
0.254780.25462834328136.77650903032
0.264814.82172654523135.384784137239
0.274848.63031458286133.112444831551
0.284881.59082799138130.819368348361
0.294913.7756415309129.29403337566
0.34945.39602498256129.015672285863
0.314976.74124352579130.116962811372
0.325008.10633292462132.386689061911
0.335039.72933897629135.399414635126
0.345071.74876217362138.636025977651
0.355104.18318428479141.558349326128
0.365136.93051639848143.650877811734
0.375169.78367878859144.4896955402
0.385202.46044357108143.77648934568
0.395234.64521005593141.453480108299
0.45266.03863613297137.685057762493
0.415296.40809620417132.888155129938
0.425325.62971457732127.687627386261
0.435353.71292643222122.782850532257
0.445380.80172951423118.848034300821
0.455407.15219687084116.386389637282
0.465433.09164116436115.644776660905
0.475458.96911783988116.558019057226
0.485485.10841866234118.845388138752
0.495511.77307496907122.099351465795
0.55539.14889908149125.871952106422
0.515567.34459654644129.816104213859
0.525596.40645020522133.702894011899
0.535626.34017497903137.406366196168
0.545657.13238565029140.94625002178
0.555688.76569127813144.341943513823
0.565721.22461337338147.664182036861
0.575754.49324798572150.878380402815
0.585788.54859303518153.908396636996
0.595823.35468046135156.651720872365
0.65858.86164379046159.013332933663
0.615895.01104995928160.95625676313
0.625931.74546767218162.509377503737
0.635969.01790921814163.779425019999
0.646006.79668089047164.868796174246
0.656045.0635369986165.844828408926
0.666083.80687894176166.715400953142
0.676123.01522435451167.427552723065
0.686162.67733295716167.930486339832
0.696202.79304722125168.236752951868
0.76243.39339678135168.505126013311
0.716284.56180211568169.013670764429
0.726326.44344544126170.092834288384
0.736369.23016864009171.980930447956
0.746413.11503640753174.655761921006
0.756458.22237000075177.7026567189
0.766504.53102026674180.332853850052
0.776551.81533695553181.582451256387
0.786599.62640113217180.521936853552
0.796647.32681072301176.555296223667
0.86694.18033394423169.522927753535
0.816739.48732774377159.806856081814
0.826782.74866594777148.346855569345
0.836823.83416693706136.609649071096
0.846863.12995309879126.493270746696
0.856901.65311848588120.129326013024
0.866941.15563843363119.634391944575
0.876984.26659915291127.137403530871
0.887034.67865443775145.092104076665
0.897097.21619759224176.06575148287
0.97177.38759113169220.54061031889
0.917279.972219346273.529566211214
0.927406.66239680255322.819238527079
0.937553.812796257351.747895267831
0.947712.21995791086347.371782396507
0.957870.14660700037309.966077886139
0.968018.0752435926254.558001190186
0.978152.30959037854197.299006920422
0.988278.05254841105147.447853046176
0.998404.62975274931146.305005815623


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')