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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 computationTue, 09 Oct 2012 08:52:30 -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/2012/Oct/09/t134978717567yzl1rm4s4plrh.htm/, Retrieved Wed, 01 May 2024 15:27:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174566, Retrieved Wed, 01 May 2024 15:27:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact67

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] [] [2012-10-09 12:52:30] [c881bea568ce57c3f1ac16d86b52731a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1855.87
1868.53
1865.71
1872.59
1875.95
1875.95
1875.95
1878.08
1878.26
1876.39
1876.77
1876.88
1876.88
1876.68
1865.52
1858.99
1856.87
1858.22
1858.22
1859.32
1859.52
1852.48
1850.07
1850.07
1850.07
1841.55
1845
1844.01
1842.67
1842.67
1842.67
1842.9
1840.37
1841.59
1844.33
1844.33
1844.33
1845.39
1861.84
1862.85
1869.46
1870.8
1870.8
1871.52
1875.52
1880.38
1885.05
1886.42
1886.42
1891.65
1903.11
1905.29
1904.26
1905.37
1905.37
1905.12
1908.62
1915.08
1916.36
1916.68
1916.24
1922.05
1922.63
1922.47
1920.64
1920.66
1920.66
1921.19
1921.44
1921.73
1921.81
1921.81

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=174566&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=174566&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174566&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
0.011840.695023846210.943556336561098
0.021841.147999667380.727299610218141
0.031841.578792136160.640892050737834
0.041841.943266882380.631109912630016
0.051842.253459294810.631152782652846
0.061842.530658116970.642937331714338
0.071842.792758083190.694049413983863
0.081843.054898237160.785274405441606
0.091843.330288951760.910219779310314
0.11843.63032975311.06489296928877
0.111843.965450162291.26057144052418
0.121844.346378290711.51476484287329
0.131844.784640712351.83176162739893
0.141845.291656469472.20497970616774
0.151845.876765047382.61574647032228
0.161846.545088820153.0367976630314
0.171847.296086657833.43685908227897
0.181848.12323431053.79578755401484
0.191849.0147920984.09075381575066
0.21849.955312427914.31127224905157
0.211850.927459931784.45303851025792
0.221851.913804025334.51943719472769
0.231852.898388558844.51567249427624
0.241853.867996971144.4543057329308
0.251854.813078745864.35697716098032
0.261855.728299629294.23963552481427
0.271856.612664625114.12939446041673
0.281857.46917512594.04742301531685
0.291858.304032281714.00758921368805
0.31859.125475018344.01718157171609
0.311859.942415277534.07965759177836
0.321860.763077388814.18223990399281
0.331861.59384708584.30734599175352
0.341862.438488907954.4392144499176
0.351863.297812740554.55960565426771
0.361864.169782375364.65317807376571
0.371865.049982392274.71051472769349
0.381865.932309830324.72314520322438
0.391866.809741071564.69462743375039
0.41867.675040678444.62120864484069
0.411868.521319527084.51117025911387
0.421869.342402491064.37017222007769
0.431870.133018252264.2024531957495
0.441870.888864398494.01435322089671
0.451871.6066224553.80910693365962
0.461872.28399746473.59187064027171
0.471872.919837736643.36734163093929
0.481873.514358937353.1415420484018
0.491874.069461385472.92427555526687
0.51874.589098623742.72924718492716
0.511875.07963528042.56847023132418
0.521875.550125645252.46165103471185
0.531876.012450408132.42679274397641
0.541876.481263976462.48573529858207
0.551876.973723724992.65248674068768
0.561877.508990770392.9327336858489
0.571878.107506412063.33339599487458
0.581878.790058724313.84247853873555
0.591879.576662042164.45528867365287
0.61880.485282468495.15131931271414
0.611881.530460091015.90904322787167
0.621882.72190720116.69872091383369
0.631884.063201592727.48686023610096
0.641885.550738945318.2299055593302
0.651887.173144904498.88673238492392
0.661888.911356272329.41686224337284
0.671890.739541068249.7833427923909
0.681892.626925473659.96483012266556
0.691894.540434395619.95404055502259
0.71896.447856934619.76043296554556
0.711898.321066254069.41311743293495
0.721900.138715595068.95960385911788
0.731901.887852480998.45135193450313
0.741903.564066514697.94327641413614
0.751905.17009084897.47930306638488
0.761906.713141509097.08290018482517
0.771908.201596737586.75228485022828
0.781909.64178568736.46585628411386
0.791911.035609368456.19050701147004
0.81912.379466317375.89171259140236
0.811913.664585867175.54449244445883
0.821914.878512322025.13597986281668
0.831916.00725256824.66802356962198
0.841917.03755323064.15492804277596
0.851917.95888190963.61442767620226
0.861918.764860682943.06788096914144
0.871919.454048809572.53670916099552
0.881920.030061820412.04168952898101
0.891920.501081561681.59877540411809
0.91920.878914057221.22069332747236
0.911921.177890887360.911825542275486
0.921921.413982509920.671493752019313
0.931921.604330756960.49639406685984
0.941921.766919540780.383360433844896
0.951921.919459037250.329787271252754
0.961922.07629536430.32234172951735
0.971922.242948518380.323812375838708
0.981922.409929323760.292213307310239
0.991922.550400046590.217799834379267

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1840.69502384621 & 0.943556336561098 \tabularnewline
0.02 & 1841.14799966738 & 0.727299610218141 \tabularnewline
0.03 & 1841.57879213616 & 0.640892050737834 \tabularnewline
0.04 & 1841.94326688238 & 0.631109912630016 \tabularnewline
0.05 & 1842.25345929481 & 0.631152782652846 \tabularnewline
0.06 & 1842.53065811697 & 0.642937331714338 \tabularnewline
0.07 & 1842.79275808319 & 0.694049413983863 \tabularnewline
0.08 & 1843.05489823716 & 0.785274405441606 \tabularnewline
0.09 & 1843.33028895176 & 0.910219779310314 \tabularnewline
0.1 & 1843.6303297531 & 1.06489296928877 \tabularnewline
0.11 & 1843.96545016229 & 1.26057144052418 \tabularnewline
0.12 & 1844.34637829071 & 1.51476484287329 \tabularnewline
0.13 & 1844.78464071235 & 1.83176162739893 \tabularnewline
0.14 & 1845.29165646947 & 2.20497970616774 \tabularnewline
0.15 & 1845.87676504738 & 2.61574647032228 \tabularnewline
0.16 & 1846.54508882015 & 3.0367976630314 \tabularnewline
0.17 & 1847.29608665783 & 3.43685908227897 \tabularnewline
0.18 & 1848.1232343105 & 3.79578755401484 \tabularnewline
0.19 & 1849.014792098 & 4.09075381575066 \tabularnewline
0.2 & 1849.95531242791 & 4.31127224905157 \tabularnewline
0.21 & 1850.92745993178 & 4.45303851025792 \tabularnewline
0.22 & 1851.91380402533 & 4.51943719472769 \tabularnewline
0.23 & 1852.89838855884 & 4.51567249427624 \tabularnewline
0.24 & 1853.86799697114 & 4.4543057329308 \tabularnewline
0.25 & 1854.81307874586 & 4.35697716098032 \tabularnewline
0.26 & 1855.72829962929 & 4.23963552481427 \tabularnewline
0.27 & 1856.61266462511 & 4.12939446041673 \tabularnewline
0.28 & 1857.4691751259 & 4.04742301531685 \tabularnewline
0.29 & 1858.30403228171 & 4.00758921368805 \tabularnewline
0.3 & 1859.12547501834 & 4.01718157171609 \tabularnewline
0.31 & 1859.94241527753 & 4.07965759177836 \tabularnewline
0.32 & 1860.76307738881 & 4.18223990399281 \tabularnewline
0.33 & 1861.5938470858 & 4.30734599175352 \tabularnewline
0.34 & 1862.43848890795 & 4.4392144499176 \tabularnewline
0.35 & 1863.29781274055 & 4.55960565426771 \tabularnewline
0.36 & 1864.16978237536 & 4.65317807376571 \tabularnewline
0.37 & 1865.04998239227 & 4.71051472769349 \tabularnewline
0.38 & 1865.93230983032 & 4.72314520322438 \tabularnewline
0.39 & 1866.80974107156 & 4.69462743375039 \tabularnewline
0.4 & 1867.67504067844 & 4.62120864484069 \tabularnewline
0.41 & 1868.52131952708 & 4.51117025911387 \tabularnewline
0.42 & 1869.34240249106 & 4.37017222007769 \tabularnewline
0.43 & 1870.13301825226 & 4.2024531957495 \tabularnewline
0.44 & 1870.88886439849 & 4.01435322089671 \tabularnewline
0.45 & 1871.606622455 & 3.80910693365962 \tabularnewline
0.46 & 1872.2839974647 & 3.59187064027171 \tabularnewline
0.47 & 1872.91983773664 & 3.36734163093929 \tabularnewline
0.48 & 1873.51435893735 & 3.1415420484018 \tabularnewline
0.49 & 1874.06946138547 & 2.92427555526687 \tabularnewline
0.5 & 1874.58909862374 & 2.72924718492716 \tabularnewline
0.51 & 1875.0796352804 & 2.56847023132418 \tabularnewline
0.52 & 1875.55012564525 & 2.46165103471185 \tabularnewline
0.53 & 1876.01245040813 & 2.42679274397641 \tabularnewline
0.54 & 1876.48126397646 & 2.48573529858207 \tabularnewline
0.55 & 1876.97372372499 & 2.65248674068768 \tabularnewline
0.56 & 1877.50899077039 & 2.9327336858489 \tabularnewline
0.57 & 1878.10750641206 & 3.33339599487458 \tabularnewline
0.58 & 1878.79005872431 & 3.84247853873555 \tabularnewline
0.59 & 1879.57666204216 & 4.45528867365287 \tabularnewline
0.6 & 1880.48528246849 & 5.15131931271414 \tabularnewline
0.61 & 1881.53046009101 & 5.90904322787167 \tabularnewline
0.62 & 1882.7219072011 & 6.69872091383369 \tabularnewline
0.63 & 1884.06320159272 & 7.48686023610096 \tabularnewline
0.64 & 1885.55073894531 & 8.2299055593302 \tabularnewline
0.65 & 1887.17314490449 & 8.88673238492392 \tabularnewline
0.66 & 1888.91135627232 & 9.41686224337284 \tabularnewline
0.67 & 1890.73954106824 & 9.7833427923909 \tabularnewline
0.68 & 1892.62692547365 & 9.96483012266556 \tabularnewline
0.69 & 1894.54043439561 & 9.95404055502259 \tabularnewline
0.7 & 1896.44785693461 & 9.76043296554556 \tabularnewline
0.71 & 1898.32106625406 & 9.41311743293495 \tabularnewline
0.72 & 1900.13871559506 & 8.95960385911788 \tabularnewline
0.73 & 1901.88785248099 & 8.45135193450313 \tabularnewline
0.74 & 1903.56406651469 & 7.94327641413614 \tabularnewline
0.75 & 1905.1700908489 & 7.47930306638488 \tabularnewline
0.76 & 1906.71314150909 & 7.08290018482517 \tabularnewline
0.77 & 1908.20159673758 & 6.75228485022828 \tabularnewline
0.78 & 1909.6417856873 & 6.46585628411386 \tabularnewline
0.79 & 1911.03560936845 & 6.19050701147004 \tabularnewline
0.8 & 1912.37946631737 & 5.89171259140236 \tabularnewline
0.81 & 1913.66458586717 & 5.54449244445883 \tabularnewline
0.82 & 1914.87851232202 & 5.13597986281668 \tabularnewline
0.83 & 1916.0072525682 & 4.66802356962198 \tabularnewline
0.84 & 1917.0375532306 & 4.15492804277596 \tabularnewline
0.85 & 1917.9588819096 & 3.61442767620226 \tabularnewline
0.86 & 1918.76486068294 & 3.06788096914144 \tabularnewline
0.87 & 1919.45404880957 & 2.53670916099552 \tabularnewline
0.88 & 1920.03006182041 & 2.04168952898101 \tabularnewline
0.89 & 1920.50108156168 & 1.59877540411809 \tabularnewline
0.9 & 1920.87891405722 & 1.22069332747236 \tabularnewline
0.91 & 1921.17789088736 & 0.911825542275486 \tabularnewline
0.92 & 1921.41398250992 & 0.671493752019313 \tabularnewline
0.93 & 1921.60433075696 & 0.49639406685984 \tabularnewline
0.94 & 1921.76691954078 & 0.383360433844896 \tabularnewline
0.95 & 1921.91945903725 & 0.329787271252754 \tabularnewline
0.96 & 1922.0762953643 & 0.32234172951735 \tabularnewline
0.97 & 1922.24294851838 & 0.323812375838708 \tabularnewline
0.98 & 1922.40992932376 & 0.292213307310239 \tabularnewline
0.99 & 1922.55040004659 & 0.217799834379267 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174566&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]1840.69502384621[/C][C]0.943556336561098[/C][/ROW]
[ROW][C]0.02[/C][C]1841.14799966738[/C][C]0.727299610218141[/C][/ROW]
[ROW][C]0.03[/C][C]1841.57879213616[/C][C]0.640892050737834[/C][/ROW]
[ROW][C]0.04[/C][C]1841.94326688238[/C][C]0.631109912630016[/C][/ROW]
[ROW][C]0.05[/C][C]1842.25345929481[/C][C]0.631152782652846[/C][/ROW]
[ROW][C]0.06[/C][C]1842.53065811697[/C][C]0.642937331714338[/C][/ROW]
[ROW][C]0.07[/C][C]1842.79275808319[/C][C]0.694049413983863[/C][/ROW]
[ROW][C]0.08[/C][C]1843.05489823716[/C][C]0.785274405441606[/C][/ROW]
[ROW][C]0.09[/C][C]1843.33028895176[/C][C]0.910219779310314[/C][/ROW]
[ROW][C]0.1[/C][C]1843.6303297531[/C][C]1.06489296928877[/C][/ROW]
[ROW][C]0.11[/C][C]1843.96545016229[/C][C]1.26057144052418[/C][/ROW]
[ROW][C]0.12[/C][C]1844.34637829071[/C][C]1.51476484287329[/C][/ROW]
[ROW][C]0.13[/C][C]1844.78464071235[/C][C]1.83176162739893[/C][/ROW]
[ROW][C]0.14[/C][C]1845.29165646947[/C][C]2.20497970616774[/C][/ROW]
[ROW][C]0.15[/C][C]1845.87676504738[/C][C]2.61574647032228[/C][/ROW]
[ROW][C]0.16[/C][C]1846.54508882015[/C][C]3.0367976630314[/C][/ROW]
[ROW][C]0.17[/C][C]1847.29608665783[/C][C]3.43685908227897[/C][/ROW]
[ROW][C]0.18[/C][C]1848.1232343105[/C][C]3.79578755401484[/C][/ROW]
[ROW][C]0.19[/C][C]1849.014792098[/C][C]4.09075381575066[/C][/ROW]
[ROW][C]0.2[/C][C]1849.95531242791[/C][C]4.31127224905157[/C][/ROW]
[ROW][C]0.21[/C][C]1850.92745993178[/C][C]4.45303851025792[/C][/ROW]
[ROW][C]0.22[/C][C]1851.91380402533[/C][C]4.51943719472769[/C][/ROW]
[ROW][C]0.23[/C][C]1852.89838855884[/C][C]4.51567249427624[/C][/ROW]
[ROW][C]0.24[/C][C]1853.86799697114[/C][C]4.4543057329308[/C][/ROW]
[ROW][C]0.25[/C][C]1854.81307874586[/C][C]4.35697716098032[/C][/ROW]
[ROW][C]0.26[/C][C]1855.72829962929[/C][C]4.23963552481427[/C][/ROW]
[ROW][C]0.27[/C][C]1856.61266462511[/C][C]4.12939446041673[/C][/ROW]
[ROW][C]0.28[/C][C]1857.4691751259[/C][C]4.04742301531685[/C][/ROW]
[ROW][C]0.29[/C][C]1858.30403228171[/C][C]4.00758921368805[/C][/ROW]
[ROW][C]0.3[/C][C]1859.12547501834[/C][C]4.01718157171609[/C][/ROW]
[ROW][C]0.31[/C][C]1859.94241527753[/C][C]4.07965759177836[/C][/ROW]
[ROW][C]0.32[/C][C]1860.76307738881[/C][C]4.18223990399281[/C][/ROW]
[ROW][C]0.33[/C][C]1861.5938470858[/C][C]4.30734599175352[/C][/ROW]
[ROW][C]0.34[/C][C]1862.43848890795[/C][C]4.4392144499176[/C][/ROW]
[ROW][C]0.35[/C][C]1863.29781274055[/C][C]4.55960565426771[/C][/ROW]
[ROW][C]0.36[/C][C]1864.16978237536[/C][C]4.65317807376571[/C][/ROW]
[ROW][C]0.37[/C][C]1865.04998239227[/C][C]4.71051472769349[/C][/ROW]
[ROW][C]0.38[/C][C]1865.93230983032[/C][C]4.72314520322438[/C][/ROW]
[ROW][C]0.39[/C][C]1866.80974107156[/C][C]4.69462743375039[/C][/ROW]
[ROW][C]0.4[/C][C]1867.67504067844[/C][C]4.62120864484069[/C][/ROW]
[ROW][C]0.41[/C][C]1868.52131952708[/C][C]4.51117025911387[/C][/ROW]
[ROW][C]0.42[/C][C]1869.34240249106[/C][C]4.37017222007769[/C][/ROW]
[ROW][C]0.43[/C][C]1870.13301825226[/C][C]4.2024531957495[/C][/ROW]
[ROW][C]0.44[/C][C]1870.88886439849[/C][C]4.01435322089671[/C][/ROW]
[ROW][C]0.45[/C][C]1871.606622455[/C][C]3.80910693365962[/C][/ROW]
[ROW][C]0.46[/C][C]1872.2839974647[/C][C]3.59187064027171[/C][/ROW]
[ROW][C]0.47[/C][C]1872.91983773664[/C][C]3.36734163093929[/C][/ROW]
[ROW][C]0.48[/C][C]1873.51435893735[/C][C]3.1415420484018[/C][/ROW]
[ROW][C]0.49[/C][C]1874.06946138547[/C][C]2.92427555526687[/C][/ROW]
[ROW][C]0.5[/C][C]1874.58909862374[/C][C]2.72924718492716[/C][/ROW]
[ROW][C]0.51[/C][C]1875.0796352804[/C][C]2.56847023132418[/C][/ROW]
[ROW][C]0.52[/C][C]1875.55012564525[/C][C]2.46165103471185[/C][/ROW]
[ROW][C]0.53[/C][C]1876.01245040813[/C][C]2.42679274397641[/C][/ROW]
[ROW][C]0.54[/C][C]1876.48126397646[/C][C]2.48573529858207[/C][/ROW]
[ROW][C]0.55[/C][C]1876.97372372499[/C][C]2.65248674068768[/C][/ROW]
[ROW][C]0.56[/C][C]1877.50899077039[/C][C]2.9327336858489[/C][/ROW]
[ROW][C]0.57[/C][C]1878.10750641206[/C][C]3.33339599487458[/C][/ROW]
[ROW][C]0.58[/C][C]1878.79005872431[/C][C]3.84247853873555[/C][/ROW]
[ROW][C]0.59[/C][C]1879.57666204216[/C][C]4.45528867365287[/C][/ROW]
[ROW][C]0.6[/C][C]1880.48528246849[/C][C]5.15131931271414[/C][/ROW]
[ROW][C]0.61[/C][C]1881.53046009101[/C][C]5.90904322787167[/C][/ROW]
[ROW][C]0.62[/C][C]1882.7219072011[/C][C]6.69872091383369[/C][/ROW]
[ROW][C]0.63[/C][C]1884.06320159272[/C][C]7.48686023610096[/C][/ROW]
[ROW][C]0.64[/C][C]1885.55073894531[/C][C]8.2299055593302[/C][/ROW]
[ROW][C]0.65[/C][C]1887.17314490449[/C][C]8.88673238492392[/C][/ROW]
[ROW][C]0.66[/C][C]1888.91135627232[/C][C]9.41686224337284[/C][/ROW]
[ROW][C]0.67[/C][C]1890.73954106824[/C][C]9.7833427923909[/C][/ROW]
[ROW][C]0.68[/C][C]1892.62692547365[/C][C]9.96483012266556[/C][/ROW]
[ROW][C]0.69[/C][C]1894.54043439561[/C][C]9.95404055502259[/C][/ROW]
[ROW][C]0.7[/C][C]1896.44785693461[/C][C]9.76043296554556[/C][/ROW]
[ROW][C]0.71[/C][C]1898.32106625406[/C][C]9.41311743293495[/C][/ROW]
[ROW][C]0.72[/C][C]1900.13871559506[/C][C]8.95960385911788[/C][/ROW]
[ROW][C]0.73[/C][C]1901.88785248099[/C][C]8.45135193450313[/C][/ROW]
[ROW][C]0.74[/C][C]1903.56406651469[/C][C]7.94327641413614[/C][/ROW]
[ROW][C]0.75[/C][C]1905.1700908489[/C][C]7.47930306638488[/C][/ROW]
[ROW][C]0.76[/C][C]1906.71314150909[/C][C]7.08290018482517[/C][/ROW]
[ROW][C]0.77[/C][C]1908.20159673758[/C][C]6.75228485022828[/C][/ROW]
[ROW][C]0.78[/C][C]1909.6417856873[/C][C]6.46585628411386[/C][/ROW]
[ROW][C]0.79[/C][C]1911.03560936845[/C][C]6.19050701147004[/C][/ROW]
[ROW][C]0.8[/C][C]1912.37946631737[/C][C]5.89171259140236[/C][/ROW]
[ROW][C]0.81[/C][C]1913.66458586717[/C][C]5.54449244445883[/C][/ROW]
[ROW][C]0.82[/C][C]1914.87851232202[/C][C]5.13597986281668[/C][/ROW]
[ROW][C]0.83[/C][C]1916.0072525682[/C][C]4.66802356962198[/C][/ROW]
[ROW][C]0.84[/C][C]1917.0375532306[/C][C]4.15492804277596[/C][/ROW]
[ROW][C]0.85[/C][C]1917.9588819096[/C][C]3.61442767620226[/C][/ROW]
[ROW][C]0.86[/C][C]1918.76486068294[/C][C]3.06788096914144[/C][/ROW]
[ROW][C]0.87[/C][C]1919.45404880957[/C][C]2.53670916099552[/C][/ROW]
[ROW][C]0.88[/C][C]1920.03006182041[/C][C]2.04168952898101[/C][/ROW]
[ROW][C]0.89[/C][C]1920.50108156168[/C][C]1.59877540411809[/C][/ROW]
[ROW][C]0.9[/C][C]1920.87891405722[/C][C]1.22069332747236[/C][/ROW]
[ROW][C]0.91[/C][C]1921.17789088736[/C][C]0.911825542275486[/C][/ROW]
[ROW][C]0.92[/C][C]1921.41398250992[/C][C]0.671493752019313[/C][/ROW]
[ROW][C]0.93[/C][C]1921.60433075696[/C][C]0.49639406685984[/C][/ROW]
[ROW][C]0.94[/C][C]1921.76691954078[/C][C]0.383360433844896[/C][/ROW]
[ROW][C]0.95[/C][C]1921.91945903725[/C][C]0.329787271252754[/C][/ROW]
[ROW][C]0.96[/C][C]1922.0762953643[/C][C]0.32234172951735[/C][/ROW]
[ROW][C]0.97[/C][C]1922.24294851838[/C][C]0.323812375838708[/C][/ROW]
[ROW][C]0.98[/C][C]1922.40992932376[/C][C]0.292213307310239[/C][/ROW]
[ROW][C]0.99[/C][C]1922.55040004659[/C][C]0.217799834379267[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174566&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174566&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
0.011840.695023846210.943556336561098
0.021841.147999667380.727299610218141
0.031841.578792136160.640892050737834
0.041841.943266882380.631109912630016
0.051842.253459294810.631152782652846
0.061842.530658116970.642937331714338
0.071842.792758083190.694049413983863
0.081843.054898237160.785274405441606
0.091843.330288951760.910219779310314
0.11843.63032975311.06489296928877
0.111843.965450162291.26057144052418
0.121844.346378290711.51476484287329
0.131844.784640712351.83176162739893
0.141845.291656469472.20497970616774
0.151845.876765047382.61574647032228
0.161846.545088820153.0367976630314
0.171847.296086657833.43685908227897
0.181848.12323431053.79578755401484
0.191849.0147920984.09075381575066
0.21849.955312427914.31127224905157
0.211850.927459931784.45303851025792
0.221851.913804025334.51943719472769
0.231852.898388558844.51567249427624
0.241853.867996971144.4543057329308
0.251854.813078745864.35697716098032
0.261855.728299629294.23963552481427
0.271856.612664625114.12939446041673
0.281857.46917512594.04742301531685
0.291858.304032281714.00758921368805
0.31859.125475018344.01718157171609
0.311859.942415277534.07965759177836
0.321860.763077388814.18223990399281
0.331861.59384708584.30734599175352
0.341862.438488907954.4392144499176
0.351863.297812740554.55960565426771
0.361864.169782375364.65317807376571
0.371865.049982392274.71051472769349
0.381865.932309830324.72314520322438
0.391866.809741071564.69462743375039
0.41867.675040678444.62120864484069
0.411868.521319527084.51117025911387
0.421869.342402491064.37017222007769
0.431870.133018252264.2024531957495
0.441870.888864398494.01435322089671
0.451871.6066224553.80910693365962
0.461872.28399746473.59187064027171
0.471872.919837736643.36734163093929
0.481873.514358937353.1415420484018
0.491874.069461385472.92427555526687
0.51874.589098623742.72924718492716
0.511875.07963528042.56847023132418
0.521875.550125645252.46165103471185
0.531876.012450408132.42679274397641
0.541876.481263976462.48573529858207
0.551876.973723724992.65248674068768
0.561877.508990770392.9327336858489
0.571878.107506412063.33339599487458
0.581878.790058724313.84247853873555
0.591879.576662042164.45528867365287
0.61880.485282468495.15131931271414
0.611881.530460091015.90904322787167
0.621882.72190720116.69872091383369
0.631884.063201592727.48686023610096
0.641885.550738945318.2299055593302
0.651887.173144904498.88673238492392
0.661888.911356272329.41686224337284
0.671890.739541068249.7833427923909
0.681892.626925473659.96483012266556
0.691894.540434395619.95404055502259
0.71896.447856934619.76043296554556
0.711898.321066254069.41311743293495
0.721900.138715595068.95960385911788
0.731901.887852480998.45135193450313
0.741903.564066514697.94327641413614
0.751905.17009084897.47930306638488
0.761906.713141509097.08290018482517
0.771908.201596737586.75228485022828
0.781909.64178568736.46585628411386
0.791911.035609368456.19050701147004
0.81912.379466317375.89171259140236
0.811913.664585867175.54449244445883
0.821914.878512322025.13597986281668
0.831916.00725256824.66802356962198
0.841917.03755323064.15492804277596
0.851917.95888190963.61442767620226
0.861918.764860682943.06788096914144
0.871919.454048809572.53670916099552
0.881920.030061820412.04168952898101
0.891920.501081561681.59877540411809
0.91920.878914057221.22069332747236
0.911921.177890887360.911825542275486
0.921921.413982509920.671493752019313
0.931921.604330756960.49639406685984
0.941921.766919540780.383360433844896
0.951921.919459037250.329787271252754
0.961922.07629536430.32234172951735
0.971922.242948518380.323812375838708
0.981922.409929323760.292213307310239
0.991922.550400046590.217799834379267


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):
par3 <- '0.1'
par2 <- '0.99'
par1 <- '0.01'
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')