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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, 06 Oct 2014 14:57:29 +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/2014/Oct/06/t1412603916g1c84xci55xffsp.htm/, Retrieved Sun, 12 May 2024 20:01:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239009, Retrieved Sun, 12 May 2024 20:01:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact110

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] [] [2014-10-06 13:57:29] [f1a1c306ccf782003dcf1365fad9efec] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
1921.81
1921.48
1917.07
1912.64
1901.15
1898.12
1900.02
1900.02
1900.82
1901.9
1902.19
1901.84
1903.73
1889.7
1891.27
1894.48
1894.27
1893.98
1893.98
1895.62
1901.72
1905.4
1898.14
1898.09

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=239009&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=239009&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239009&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
0.011840.695024621950.943556336561098
0.021841.148008921390.727299610218141
0.031841.578854889010.641066453543993
0.041841.943575657170.631907581956134
0.051842.254672564070.634332113521446
0.061842.534665741670.654526337570788
0.071842.804249639850.727759174376241
0.081843.084140329180.87015809348755
0.091843.397398644371.10031697360199
0.11843.770963807191.44935933150727
0.111844.237228282951.9633838686261
0.121844.83468006262.68035204750175
0.131845.605939447413.61253424853899
0.141846.592576084224.73363689108666
0.151847.827732408655.98046659258842
0.161849.32871437957.25824719909067
0.171851.091884013488.46248467485851
0.181853.091478593039.49295183184421
0.191855.2827659549510.2758531913167
0.21857.6086932685510.7757045407458
0.211860.0082990597510.9960828086601
0.221862.4248604457310.9839749724179
0.231864.8120495375610.8024317985218
0.241867.137100084810.5242446219873
0.251869.3808631603310.2098017263579
0.261871.535387523289.90175723120261
0.271873.600110973319.61477254068523
0.281875.577833564619.34398244276809
0.291877.471418556419.07117483223923
0.31879.281762513388.77559948290311
0.311881.007140322468.43897232239125
0.321882.64368348788.05431466999532
0.331884.186555070927.62174901675266
0.341885.631347902467.1524053450835
0.351886.975316593596.66200378082167
0.361888.218200690896.16857980284273
0.371889.362550505685.68799754223194
0.381890.413590102655.23714996228074
0.391891.378726926764.82927570393079
0.41892.266846425494.46774221402847
0.411893.087525408384.15915562618398
0.421893.850274992983.90010866740747
0.431894.563894924913.68356145700877
0.441895.235992646373.50276326181146
0.451895.872694979183.34747483533206
0.461896.478557559573.20850085926778
0.471897.056656815323.07845931292688
0.481897.608831794842.95210353396213
0.491898.136029924122.82383366657445
0.51898.638703373382.69078892752308
0.511899.117202166052.55713024187582
0.521899.572116430862.42382200702178
0.531900.004532254242.29763494847872
0.541900.416181753812.18055190838587
0.551900.809486292932.07822941814208
0.561901.187510086241.99459976231445
0.571901.553857480851.93181853762079
0.581901.912558235221.89422659114864
0.591902.267988142781.87549827829329
0.61902.624864553441.88498234558223
0.611902.988336166031.91976317454053
0.621903.364154890371.98143792767787
0.631903.758879302612.07755688227876
0.641904.180022958492.21196686921328
0.651904.636038292822.39192974123346
0.661905.136030034322.62242753572359
0.671905.689129321472.90074663498598
0.681906.30353124763.22109857449421
0.691906.985293347123.56604699786721
0.71907.737088010893.91383393890128
0.711908.557167986684.23600010547339
0.721909.438811919714.50596923419044
0.731910.370449140994.69601400452058
0.741911.336524206514.79069176104077
0.751912.318982678094.78151280914932
0.761913.29909202194.67111950150552
0.771914.259212983424.47733498763381
0.781915.184149586314.21521322743931
0.791916.061836652543.91054692872403
0.81916.883334477883.58239376429003
0.811917.642317290763.24305333351441
0.821918.334382592732.89897110912282
0.831918.95651590322.55309841850923
0.841919.506917650342.20857536288113
0.851919.985193760171.87058601593445
0.861920.392723717111.54623950632543
0.871920.732938311341.24585270768041
0.881921.011303791610.979186507719919
0.891921.23498909070.751686585866251
0.91921.412397254280.566079686924167
0.911921.552855084160.421302903816294
0.921921.6666781520.314671500721904
0.931921.76552094440.246042587076741
0.941921.862443341070.220771877330089
0.951921.970695822770.236594297350603
0.961922.100266219830.276137483439913
0.971922.252194005980.304459580559929
0.981922.412588148250.286108768317688
0.991922.550844853080.216756546237372

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1840.69502462195 & 0.943556336561098 \tabularnewline
0.02 & 1841.14800892139 & 0.727299610218141 \tabularnewline
0.03 & 1841.57885488901 & 0.641066453543993 \tabularnewline
0.04 & 1841.94357565717 & 0.631907581956134 \tabularnewline
0.05 & 1842.25467256407 & 0.634332113521446 \tabularnewline
0.06 & 1842.53466574167 & 0.654526337570788 \tabularnewline
0.07 & 1842.80424963985 & 0.727759174376241 \tabularnewline
0.08 & 1843.08414032918 & 0.87015809348755 \tabularnewline
0.09 & 1843.39739864437 & 1.10031697360199 \tabularnewline
0.1 & 1843.77096380719 & 1.44935933150727 \tabularnewline
0.11 & 1844.23722828295 & 1.9633838686261 \tabularnewline
0.12 & 1844.8346800626 & 2.68035204750175 \tabularnewline
0.13 & 1845.60593944741 & 3.61253424853899 \tabularnewline
0.14 & 1846.59257608422 & 4.73363689108666 \tabularnewline
0.15 & 1847.82773240865 & 5.98046659258842 \tabularnewline
0.16 & 1849.3287143795 & 7.25824719909067 \tabularnewline
0.17 & 1851.09188401348 & 8.46248467485851 \tabularnewline
0.18 & 1853.09147859303 & 9.49295183184421 \tabularnewline
0.19 & 1855.28276595495 & 10.2758531913167 \tabularnewline
0.2 & 1857.60869326855 & 10.7757045407458 \tabularnewline
0.21 & 1860.00829905975 & 10.9960828086601 \tabularnewline
0.22 & 1862.42486044573 & 10.9839749724179 \tabularnewline
0.23 & 1864.81204953756 & 10.8024317985218 \tabularnewline
0.24 & 1867.1371000848 & 10.5242446219873 \tabularnewline
0.25 & 1869.38086316033 & 10.2098017263579 \tabularnewline
0.26 & 1871.53538752328 & 9.90175723120261 \tabularnewline
0.27 & 1873.60011097331 & 9.61477254068523 \tabularnewline
0.28 & 1875.57783356461 & 9.34398244276809 \tabularnewline
0.29 & 1877.47141855641 & 9.07117483223923 \tabularnewline
0.3 & 1879.28176251338 & 8.77559948290311 \tabularnewline
0.31 & 1881.00714032246 & 8.43897232239125 \tabularnewline
0.32 & 1882.6436834878 & 8.05431466999532 \tabularnewline
0.33 & 1884.18655507092 & 7.62174901675266 \tabularnewline
0.34 & 1885.63134790246 & 7.1524053450835 \tabularnewline
0.35 & 1886.97531659359 & 6.66200378082167 \tabularnewline
0.36 & 1888.21820069089 & 6.16857980284273 \tabularnewline
0.37 & 1889.36255050568 & 5.68799754223194 \tabularnewline
0.38 & 1890.41359010265 & 5.23714996228074 \tabularnewline
0.39 & 1891.37872692676 & 4.82927570393079 \tabularnewline
0.4 & 1892.26684642549 & 4.46774221402847 \tabularnewline
0.41 & 1893.08752540838 & 4.15915562618398 \tabularnewline
0.42 & 1893.85027499298 & 3.90010866740747 \tabularnewline
0.43 & 1894.56389492491 & 3.68356145700877 \tabularnewline
0.44 & 1895.23599264637 & 3.50276326181146 \tabularnewline
0.45 & 1895.87269497918 & 3.34747483533206 \tabularnewline
0.46 & 1896.47855755957 & 3.20850085926778 \tabularnewline
0.47 & 1897.05665681532 & 3.07845931292688 \tabularnewline
0.48 & 1897.60883179484 & 2.95210353396213 \tabularnewline
0.49 & 1898.13602992412 & 2.82383366657445 \tabularnewline
0.5 & 1898.63870337338 & 2.69078892752308 \tabularnewline
0.51 & 1899.11720216605 & 2.55713024187582 \tabularnewline
0.52 & 1899.57211643086 & 2.42382200702178 \tabularnewline
0.53 & 1900.00453225424 & 2.29763494847872 \tabularnewline
0.54 & 1900.41618175381 & 2.18055190838587 \tabularnewline
0.55 & 1900.80948629293 & 2.07822941814208 \tabularnewline
0.56 & 1901.18751008624 & 1.99459976231445 \tabularnewline
0.57 & 1901.55385748085 & 1.93181853762079 \tabularnewline
0.58 & 1901.91255823522 & 1.89422659114864 \tabularnewline
0.59 & 1902.26798814278 & 1.87549827829329 \tabularnewline
0.6 & 1902.62486455344 & 1.88498234558223 \tabularnewline
0.61 & 1902.98833616603 & 1.91976317454053 \tabularnewline
0.62 & 1903.36415489037 & 1.98143792767787 \tabularnewline
0.63 & 1903.75887930261 & 2.07755688227876 \tabularnewline
0.64 & 1904.18002295849 & 2.21196686921328 \tabularnewline
0.65 & 1904.63603829282 & 2.39192974123346 \tabularnewline
0.66 & 1905.13603003432 & 2.62242753572359 \tabularnewline
0.67 & 1905.68912932147 & 2.90074663498598 \tabularnewline
0.68 & 1906.3035312476 & 3.22109857449421 \tabularnewline
0.69 & 1906.98529334712 & 3.56604699786721 \tabularnewline
0.7 & 1907.73708801089 & 3.91383393890128 \tabularnewline
0.71 & 1908.55716798668 & 4.23600010547339 \tabularnewline
0.72 & 1909.43881191971 & 4.50596923419044 \tabularnewline
0.73 & 1910.37044914099 & 4.69601400452058 \tabularnewline
0.74 & 1911.33652420651 & 4.79069176104077 \tabularnewline
0.75 & 1912.31898267809 & 4.78151280914932 \tabularnewline
0.76 & 1913.2990920219 & 4.67111950150552 \tabularnewline
0.77 & 1914.25921298342 & 4.47733498763381 \tabularnewline
0.78 & 1915.18414958631 & 4.21521322743931 \tabularnewline
0.79 & 1916.06183665254 & 3.91054692872403 \tabularnewline
0.8 & 1916.88333447788 & 3.58239376429003 \tabularnewline
0.81 & 1917.64231729076 & 3.24305333351441 \tabularnewline
0.82 & 1918.33438259273 & 2.89897110912282 \tabularnewline
0.83 & 1918.9565159032 & 2.55309841850923 \tabularnewline
0.84 & 1919.50691765034 & 2.20857536288113 \tabularnewline
0.85 & 1919.98519376017 & 1.87058601593445 \tabularnewline
0.86 & 1920.39272371711 & 1.54623950632543 \tabularnewline
0.87 & 1920.73293831134 & 1.24585270768041 \tabularnewline
0.88 & 1921.01130379161 & 0.979186507719919 \tabularnewline
0.89 & 1921.2349890907 & 0.751686585866251 \tabularnewline
0.9 & 1921.41239725428 & 0.566079686924167 \tabularnewline
0.91 & 1921.55285508416 & 0.421302903816294 \tabularnewline
0.92 & 1921.666678152 & 0.314671500721904 \tabularnewline
0.93 & 1921.7655209444 & 0.246042587076741 \tabularnewline
0.94 & 1921.86244334107 & 0.220771877330089 \tabularnewline
0.95 & 1921.97069582277 & 0.236594297350603 \tabularnewline
0.96 & 1922.10026621983 & 0.276137483439913 \tabularnewline
0.97 & 1922.25219400598 & 0.304459580559929 \tabularnewline
0.98 & 1922.41258814825 & 0.286108768317688 \tabularnewline
0.99 & 1922.55084485308 & 0.216756546237372 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239009&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]1840.69502462195[/C][C]0.943556336561098[/C][/ROW]
[ROW][C]0.02[/C][C]1841.14800892139[/C][C]0.727299610218141[/C][/ROW]
[ROW][C]0.03[/C][C]1841.57885488901[/C][C]0.641066453543993[/C][/ROW]
[ROW][C]0.04[/C][C]1841.94357565717[/C][C]0.631907581956134[/C][/ROW]
[ROW][C]0.05[/C][C]1842.25467256407[/C][C]0.634332113521446[/C][/ROW]
[ROW][C]0.06[/C][C]1842.53466574167[/C][C]0.654526337570788[/C][/ROW]
[ROW][C]0.07[/C][C]1842.80424963985[/C][C]0.727759174376241[/C][/ROW]
[ROW][C]0.08[/C][C]1843.08414032918[/C][C]0.87015809348755[/C][/ROW]
[ROW][C]0.09[/C][C]1843.39739864437[/C][C]1.10031697360199[/C][/ROW]
[ROW][C]0.1[/C][C]1843.77096380719[/C][C]1.44935933150727[/C][/ROW]
[ROW][C]0.11[/C][C]1844.23722828295[/C][C]1.9633838686261[/C][/ROW]
[ROW][C]0.12[/C][C]1844.8346800626[/C][C]2.68035204750175[/C][/ROW]
[ROW][C]0.13[/C][C]1845.60593944741[/C][C]3.61253424853899[/C][/ROW]
[ROW][C]0.14[/C][C]1846.59257608422[/C][C]4.73363689108666[/C][/ROW]
[ROW][C]0.15[/C][C]1847.82773240865[/C][C]5.98046659258842[/C][/ROW]
[ROW][C]0.16[/C][C]1849.3287143795[/C][C]7.25824719909067[/C][/ROW]
[ROW][C]0.17[/C][C]1851.09188401348[/C][C]8.46248467485851[/C][/ROW]
[ROW][C]0.18[/C][C]1853.09147859303[/C][C]9.49295183184421[/C][/ROW]
[ROW][C]0.19[/C][C]1855.28276595495[/C][C]10.2758531913167[/C][/ROW]
[ROW][C]0.2[/C][C]1857.60869326855[/C][C]10.7757045407458[/C][/ROW]
[ROW][C]0.21[/C][C]1860.00829905975[/C][C]10.9960828086601[/C][/ROW]
[ROW][C]0.22[/C][C]1862.42486044573[/C][C]10.9839749724179[/C][/ROW]
[ROW][C]0.23[/C][C]1864.81204953756[/C][C]10.8024317985218[/C][/ROW]
[ROW][C]0.24[/C][C]1867.1371000848[/C][C]10.5242446219873[/C][/ROW]
[ROW][C]0.25[/C][C]1869.38086316033[/C][C]10.2098017263579[/C][/ROW]
[ROW][C]0.26[/C][C]1871.53538752328[/C][C]9.90175723120261[/C][/ROW]
[ROW][C]0.27[/C][C]1873.60011097331[/C][C]9.61477254068523[/C][/ROW]
[ROW][C]0.28[/C][C]1875.57783356461[/C][C]9.34398244276809[/C][/ROW]
[ROW][C]0.29[/C][C]1877.47141855641[/C][C]9.07117483223923[/C][/ROW]
[ROW][C]0.3[/C][C]1879.28176251338[/C][C]8.77559948290311[/C][/ROW]
[ROW][C]0.31[/C][C]1881.00714032246[/C][C]8.43897232239125[/C][/ROW]
[ROW][C]0.32[/C][C]1882.6436834878[/C][C]8.05431466999532[/C][/ROW]
[ROW][C]0.33[/C][C]1884.18655507092[/C][C]7.62174901675266[/C][/ROW]
[ROW][C]0.34[/C][C]1885.63134790246[/C][C]7.1524053450835[/C][/ROW]
[ROW][C]0.35[/C][C]1886.97531659359[/C][C]6.66200378082167[/C][/ROW]
[ROW][C]0.36[/C][C]1888.21820069089[/C][C]6.16857980284273[/C][/ROW]
[ROW][C]0.37[/C][C]1889.36255050568[/C][C]5.68799754223194[/C][/ROW]
[ROW][C]0.38[/C][C]1890.41359010265[/C][C]5.23714996228074[/C][/ROW]
[ROW][C]0.39[/C][C]1891.37872692676[/C][C]4.82927570393079[/C][/ROW]
[ROW][C]0.4[/C][C]1892.26684642549[/C][C]4.46774221402847[/C][/ROW]
[ROW][C]0.41[/C][C]1893.08752540838[/C][C]4.15915562618398[/C][/ROW]
[ROW][C]0.42[/C][C]1893.85027499298[/C][C]3.90010866740747[/C][/ROW]
[ROW][C]0.43[/C][C]1894.56389492491[/C][C]3.68356145700877[/C][/ROW]
[ROW][C]0.44[/C][C]1895.23599264637[/C][C]3.50276326181146[/C][/ROW]
[ROW][C]0.45[/C][C]1895.87269497918[/C][C]3.34747483533206[/C][/ROW]
[ROW][C]0.46[/C][C]1896.47855755957[/C][C]3.20850085926778[/C][/ROW]
[ROW][C]0.47[/C][C]1897.05665681532[/C][C]3.07845931292688[/C][/ROW]
[ROW][C]0.48[/C][C]1897.60883179484[/C][C]2.95210353396213[/C][/ROW]
[ROW][C]0.49[/C][C]1898.13602992412[/C][C]2.82383366657445[/C][/ROW]
[ROW][C]0.5[/C][C]1898.63870337338[/C][C]2.69078892752308[/C][/ROW]
[ROW][C]0.51[/C][C]1899.11720216605[/C][C]2.55713024187582[/C][/ROW]
[ROW][C]0.52[/C][C]1899.57211643086[/C][C]2.42382200702178[/C][/ROW]
[ROW][C]0.53[/C][C]1900.00453225424[/C][C]2.29763494847872[/C][/ROW]
[ROW][C]0.54[/C][C]1900.41618175381[/C][C]2.18055190838587[/C][/ROW]
[ROW][C]0.55[/C][C]1900.80948629293[/C][C]2.07822941814208[/C][/ROW]
[ROW][C]0.56[/C][C]1901.18751008624[/C][C]1.99459976231445[/C][/ROW]
[ROW][C]0.57[/C][C]1901.55385748085[/C][C]1.93181853762079[/C][/ROW]
[ROW][C]0.58[/C][C]1901.91255823522[/C][C]1.89422659114864[/C][/ROW]
[ROW][C]0.59[/C][C]1902.26798814278[/C][C]1.87549827829329[/C][/ROW]
[ROW][C]0.6[/C][C]1902.62486455344[/C][C]1.88498234558223[/C][/ROW]
[ROW][C]0.61[/C][C]1902.98833616603[/C][C]1.91976317454053[/C][/ROW]
[ROW][C]0.62[/C][C]1903.36415489037[/C][C]1.98143792767787[/C][/ROW]
[ROW][C]0.63[/C][C]1903.75887930261[/C][C]2.07755688227876[/C][/ROW]
[ROW][C]0.64[/C][C]1904.18002295849[/C][C]2.21196686921328[/C][/ROW]
[ROW][C]0.65[/C][C]1904.63603829282[/C][C]2.39192974123346[/C][/ROW]
[ROW][C]0.66[/C][C]1905.13603003432[/C][C]2.62242753572359[/C][/ROW]
[ROW][C]0.67[/C][C]1905.68912932147[/C][C]2.90074663498598[/C][/ROW]
[ROW][C]0.68[/C][C]1906.3035312476[/C][C]3.22109857449421[/C][/ROW]
[ROW][C]0.69[/C][C]1906.98529334712[/C][C]3.56604699786721[/C][/ROW]
[ROW][C]0.7[/C][C]1907.73708801089[/C][C]3.91383393890128[/C][/ROW]
[ROW][C]0.71[/C][C]1908.55716798668[/C][C]4.23600010547339[/C][/ROW]
[ROW][C]0.72[/C][C]1909.43881191971[/C][C]4.50596923419044[/C][/ROW]
[ROW][C]0.73[/C][C]1910.37044914099[/C][C]4.69601400452058[/C][/ROW]
[ROW][C]0.74[/C][C]1911.33652420651[/C][C]4.79069176104077[/C][/ROW]
[ROW][C]0.75[/C][C]1912.31898267809[/C][C]4.78151280914932[/C][/ROW]
[ROW][C]0.76[/C][C]1913.2990920219[/C][C]4.67111950150552[/C][/ROW]
[ROW][C]0.77[/C][C]1914.25921298342[/C][C]4.47733498763381[/C][/ROW]
[ROW][C]0.78[/C][C]1915.18414958631[/C][C]4.21521322743931[/C][/ROW]
[ROW][C]0.79[/C][C]1916.06183665254[/C][C]3.91054692872403[/C][/ROW]
[ROW][C]0.8[/C][C]1916.88333447788[/C][C]3.58239376429003[/C][/ROW]
[ROW][C]0.81[/C][C]1917.64231729076[/C][C]3.24305333351441[/C][/ROW]
[ROW][C]0.82[/C][C]1918.33438259273[/C][C]2.89897110912282[/C][/ROW]
[ROW][C]0.83[/C][C]1918.9565159032[/C][C]2.55309841850923[/C][/ROW]
[ROW][C]0.84[/C][C]1919.50691765034[/C][C]2.20857536288113[/C][/ROW]
[ROW][C]0.85[/C][C]1919.98519376017[/C][C]1.87058601593445[/C][/ROW]
[ROW][C]0.86[/C][C]1920.39272371711[/C][C]1.54623950632543[/C][/ROW]
[ROW][C]0.87[/C][C]1920.73293831134[/C][C]1.24585270768041[/C][/ROW]
[ROW][C]0.88[/C][C]1921.01130379161[/C][C]0.979186507719919[/C][/ROW]
[ROW][C]0.89[/C][C]1921.2349890907[/C][C]0.751686585866251[/C][/ROW]
[ROW][C]0.9[/C][C]1921.41239725428[/C][C]0.566079686924167[/C][/ROW]
[ROW][C]0.91[/C][C]1921.55285508416[/C][C]0.421302903816294[/C][/ROW]
[ROW][C]0.92[/C][C]1921.666678152[/C][C]0.314671500721904[/C][/ROW]
[ROW][C]0.93[/C][C]1921.7655209444[/C][C]0.246042587076741[/C][/ROW]
[ROW][C]0.94[/C][C]1921.86244334107[/C][C]0.220771877330089[/C][/ROW]
[ROW][C]0.95[/C][C]1921.97069582277[/C][C]0.236594297350603[/C][/ROW]
[ROW][C]0.96[/C][C]1922.10026621983[/C][C]0.276137483439913[/C][/ROW]
[ROW][C]0.97[/C][C]1922.25219400598[/C][C]0.304459580559929[/C][/ROW]
[ROW][C]0.98[/C][C]1922.41258814825[/C][C]0.286108768317688[/C][/ROW]
[ROW][C]0.99[/C][C]1922.55084485308[/C][C]0.216756546237372[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239009&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239009&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
0.011840.695024621950.943556336561098
0.021841.148008921390.727299610218141
0.031841.578854889010.641066453543993
0.041841.943575657170.631907581956134
0.051842.254672564070.634332113521446
0.061842.534665741670.654526337570788
0.071842.804249639850.727759174376241
0.081843.084140329180.87015809348755
0.091843.397398644371.10031697360199
0.11843.770963807191.44935933150727
0.111844.237228282951.9633838686261
0.121844.83468006262.68035204750175
0.131845.605939447413.61253424853899
0.141846.592576084224.73363689108666
0.151847.827732408655.98046659258842
0.161849.32871437957.25824719909067
0.171851.091884013488.46248467485851
0.181853.091478593039.49295183184421
0.191855.2827659549510.2758531913167
0.21857.6086932685510.7757045407458
0.211860.0082990597510.9960828086601
0.221862.4248604457310.9839749724179
0.231864.8120495375610.8024317985218
0.241867.137100084810.5242446219873
0.251869.3808631603310.2098017263579
0.261871.535387523289.90175723120261
0.271873.600110973319.61477254068523
0.281875.577833564619.34398244276809
0.291877.471418556419.07117483223923
0.31879.281762513388.77559948290311
0.311881.007140322468.43897232239125
0.321882.64368348788.05431466999532
0.331884.186555070927.62174901675266
0.341885.631347902467.1524053450835
0.351886.975316593596.66200378082167
0.361888.218200690896.16857980284273
0.371889.362550505685.68799754223194
0.381890.413590102655.23714996228074
0.391891.378726926764.82927570393079
0.41892.266846425494.46774221402847
0.411893.087525408384.15915562618398
0.421893.850274992983.90010866740747
0.431894.563894924913.68356145700877
0.441895.235992646373.50276326181146
0.451895.872694979183.34747483533206
0.461896.478557559573.20850085926778
0.471897.056656815323.07845931292688
0.481897.608831794842.95210353396213
0.491898.136029924122.82383366657445
0.51898.638703373382.69078892752308
0.511899.117202166052.55713024187582
0.521899.572116430862.42382200702178
0.531900.004532254242.29763494847872
0.541900.416181753812.18055190838587
0.551900.809486292932.07822941814208
0.561901.187510086241.99459976231445
0.571901.553857480851.93181853762079
0.581901.912558235221.89422659114864
0.591902.267988142781.87549827829329
0.61902.624864553441.88498234558223
0.611902.988336166031.91976317454053
0.621903.364154890371.98143792767787
0.631903.758879302612.07755688227876
0.641904.180022958492.21196686921328
0.651904.636038292822.39192974123346
0.661905.136030034322.62242753572359
0.671905.689129321472.90074663498598
0.681906.30353124763.22109857449421
0.691906.985293347123.56604699786721
0.71907.737088010893.91383393890128
0.711908.557167986684.23600010547339
0.721909.438811919714.50596923419044
0.731910.370449140994.69601400452058
0.741911.336524206514.79069176104077
0.751912.318982678094.78151280914932
0.761913.29909202194.67111950150552
0.771914.259212983424.47733498763381
0.781915.184149586314.21521322743931
0.791916.061836652543.91054692872403
0.81916.883334477883.58239376429003
0.811917.642317290763.24305333351441
0.821918.334382592732.89897110912282
0.831918.95651590322.55309841850923
0.841919.506917650342.20857536288113
0.851919.985193760171.87058601593445
0.861920.392723717111.54623950632543
0.871920.732938311341.24585270768041
0.881921.011303791610.979186507719919
0.891921.23498909070.751686585866251
0.91921.412397254280.566079686924167
0.911921.552855084160.421302903816294
0.921921.6666781520.314671500721904
0.931921.76552094440.246042587076741
0.941921.862443341070.220771877330089
0.951921.970695822770.236594297350603
0.961922.100266219830.276137483439913
0.971922.252194005980.304459580559929
0.981922.412588148250.286108768317688
0.991922.550844853080.216756546237372


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 <- '0.01'
par2 <- '0.09'
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')