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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 computationFri, 09 Oct 2015 22:16:40 +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/2015/Oct/09/t1444425437le0oo59wsc6omur.htm/, Retrieved Tue, 14 May 2024 15:00:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282074, Retrieved Tue, 14 May 2024 15:00:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact61

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 21:16:40] [3e69b53d94b342798d3f1a806941de01] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
1855.87
1868.53
1865.71
1872.59
1875.95
1875.95
1875.95
1878.08
1878.26
1876.39
1876.77
1876.88

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282074&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282074&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282074&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011845.589934306233.5353382383026
0.021848.197549358956.29187370016667
0.031851.655403424987.50418623615778
0.041855.270481192777.25005910211057
0.051858.544119022976.33237730106775
0.061861.2774951835.38208448585491
0.071863.485224585634.64233290437183
0.081865.269792308644.1020636855813
0.091866.739541521623.68630577189017
0.11867.978661572683.34883902391686
0.111869.046753733333.07767322781256
0.121869.986772452322.87968114350704
0.131870.831100765782.74924031194047
0.141871.6040161492.66808574327587
0.151872.322344962732.60652802640495
0.161872.996291914482.5400381578919
0.171873.631331513162.45948630882475
0.181874.23096379912.36868431939804
0.191874.79957224942.28998876686842
0.21875.344588028912.25017334865107
0.211875.877461265772.27808737369083
0.221876.413338447022.40010592735271
0.231876.969679455852.62060940068226
0.241877.564240158132.93210228607438
0.251878.212892676833.31455939853832
0.261878.927694079623.74098379514829
0.271879.715495165534.17797167884028
0.281880.577245677554.59553306659905
0.291881.508026342384.96516644384448
0.31882.49773444675.26468534274264
0.311883.532273830095.47565768169623
0.321884.595054853135.59375705996433
0.331885.668595800655.61608646350746
0.341886.736032152285.55232364271217
0.351887.782378319125.41539858929294
0.361888.795438801975.2216629964828
0.371889.766322183614.98777846667374
0.381890.689563215894.73413619004537
0.391891.562899859974.47800331507409
0.41892.386781200014.22998610135074
0.411893.163698829374.00245651203395
0.421893.897439837593.8005846126926
0.431894.592355203893.62179494557535
0.441895.252724341783.46554546469914
0.451895.882276058383.3258580578429
0.461896.483900382013.19616267034385
0.471897.059557679923.07196568628882
0.481897.610365034912.94883340564228
0.491898.136818690882.8217743719826
0.51898.639098261732.69020949086592
0.511899.117394527792.55631056984846
0.521899.572207592322.42354534986463
0.531900.004574276382.29756511595833
0.541900.41620059212.18059558896621
0.551900.809494504332.07825224171427
0.561901.187513565731.99461376614981
0.571901.553858913821.93181853762079
0.581901.912558808651.89422659114864
0.591902.267988365691.87549827829329
0.61902.624864637591.88498234558223
0.611902.988336196871.91976317454053
0.621903.364154901341.98143792767787
0.631903.75887930642.07755688227876
0.641904.180022959762.21196686921328
0.651904.636038293232.39192974123346
0.661905.136030034452.62242753572359
0.671905.689129321512.90074663498598
0.681906.303531247613.22109857449421
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 & 1845.58993430623 & 3.5353382383026 \tabularnewline
0.02 & 1848.19754935895 & 6.29187370016667 \tabularnewline
0.03 & 1851.65540342498 & 7.50418623615778 \tabularnewline
0.04 & 1855.27048119277 & 7.25005910211057 \tabularnewline
0.05 & 1858.54411902297 & 6.33237730106775 \tabularnewline
0.06 & 1861.277495183 & 5.38208448585491 \tabularnewline
0.07 & 1863.48522458563 & 4.64233290437183 \tabularnewline
0.08 & 1865.26979230864 & 4.1020636855813 \tabularnewline
0.09 & 1866.73954152162 & 3.68630577189017 \tabularnewline
0.1 & 1867.97866157268 & 3.34883902391686 \tabularnewline
0.11 & 1869.04675373333 & 3.07767322781256 \tabularnewline
0.12 & 1869.98677245232 & 2.87968114350704 \tabularnewline
0.13 & 1870.83110076578 & 2.74924031194047 \tabularnewline
0.14 & 1871.604016149 & 2.66808574327587 \tabularnewline
0.15 & 1872.32234496273 & 2.60652802640495 \tabularnewline
0.16 & 1872.99629191448 & 2.5400381578919 \tabularnewline
0.17 & 1873.63133151316 & 2.45948630882475 \tabularnewline
0.18 & 1874.2309637991 & 2.36868431939804 \tabularnewline
0.19 & 1874.7995722494 & 2.28998876686842 \tabularnewline
0.2 & 1875.34458802891 & 2.25017334865107 \tabularnewline
0.21 & 1875.87746126577 & 2.27808737369083 \tabularnewline
0.22 & 1876.41333844702 & 2.40010592735271 \tabularnewline
0.23 & 1876.96967945585 & 2.62060940068226 \tabularnewline
0.24 & 1877.56424015813 & 2.93210228607438 \tabularnewline
0.25 & 1878.21289267683 & 3.31455939853832 \tabularnewline
0.26 & 1878.92769407962 & 3.74098379514829 \tabularnewline
0.27 & 1879.71549516553 & 4.17797167884028 \tabularnewline
0.28 & 1880.57724567755 & 4.59553306659905 \tabularnewline
0.29 & 1881.50802634238 & 4.96516644384448 \tabularnewline
0.3 & 1882.4977344467 & 5.26468534274264 \tabularnewline
0.31 & 1883.53227383009 & 5.47565768169623 \tabularnewline
0.32 & 1884.59505485313 & 5.59375705996433 \tabularnewline
0.33 & 1885.66859580065 & 5.61608646350746 \tabularnewline
0.34 & 1886.73603215228 & 5.55232364271217 \tabularnewline
0.35 & 1887.78237831912 & 5.41539858929294 \tabularnewline
0.36 & 1888.79543880197 & 5.2216629964828 \tabularnewline
0.37 & 1889.76632218361 & 4.98777846667374 \tabularnewline
0.38 & 1890.68956321589 & 4.73413619004537 \tabularnewline
0.39 & 1891.56289985997 & 4.47800331507409 \tabularnewline
0.4 & 1892.38678120001 & 4.22998610135074 \tabularnewline
0.41 & 1893.16369882937 & 4.00245651203395 \tabularnewline
0.42 & 1893.89743983759 & 3.8005846126926 \tabularnewline
0.43 & 1894.59235520389 & 3.62179494557535 \tabularnewline
0.44 & 1895.25272434178 & 3.46554546469914 \tabularnewline
0.45 & 1895.88227605838 & 3.3258580578429 \tabularnewline
0.46 & 1896.48390038201 & 3.19616267034385 \tabularnewline
0.47 & 1897.05955767992 & 3.07196568628882 \tabularnewline
0.48 & 1897.61036503491 & 2.94883340564228 \tabularnewline
0.49 & 1898.13681869088 & 2.8217743719826 \tabularnewline
0.5 & 1898.63909826173 & 2.69020949086592 \tabularnewline
0.51 & 1899.11739452779 & 2.55631056984846 \tabularnewline
0.52 & 1899.57220759232 & 2.42354534986463 \tabularnewline
0.53 & 1900.00457427638 & 2.29756511595833 \tabularnewline
0.54 & 1900.4162005921 & 2.18059558896621 \tabularnewline
0.55 & 1900.80949450433 & 2.07825224171427 \tabularnewline
0.56 & 1901.18751356573 & 1.99461376614981 \tabularnewline
0.57 & 1901.55385891382 & 1.93181853762079 \tabularnewline
0.58 & 1901.91255880865 & 1.89422659114864 \tabularnewline
0.59 & 1902.26798836569 & 1.87549827829329 \tabularnewline
0.6 & 1902.62486463759 & 1.88498234558223 \tabularnewline
0.61 & 1902.98833619687 & 1.91976317454053 \tabularnewline
0.62 & 1903.36415490134 & 1.98143792767787 \tabularnewline
0.63 & 1903.7588793064 & 2.07755688227876 \tabularnewline
0.64 & 1904.18002295976 & 2.21196686921328 \tabularnewline
0.65 & 1904.63603829323 & 2.39192974123346 \tabularnewline
0.66 & 1905.13603003445 & 2.62242753572359 \tabularnewline
0.67 & 1905.68912932151 & 2.90074663498598 \tabularnewline
0.68 & 1906.30353124761 & 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=282074&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]1845.58993430623[/C][C]3.5353382383026[/C][/ROW]
[ROW][C]0.02[/C][C]1848.19754935895[/C][C]6.29187370016667[/C][/ROW]
[ROW][C]0.03[/C][C]1851.65540342498[/C][C]7.50418623615778[/C][/ROW]
[ROW][C]0.04[/C][C]1855.27048119277[/C][C]7.25005910211057[/C][/ROW]
[ROW][C]0.05[/C][C]1858.54411902297[/C][C]6.33237730106775[/C][/ROW]
[ROW][C]0.06[/C][C]1861.277495183[/C][C]5.38208448585491[/C][/ROW]
[ROW][C]0.07[/C][C]1863.48522458563[/C][C]4.64233290437183[/C][/ROW]
[ROW][C]0.08[/C][C]1865.26979230864[/C][C]4.1020636855813[/C][/ROW]
[ROW][C]0.09[/C][C]1866.73954152162[/C][C]3.68630577189017[/C][/ROW]
[ROW][C]0.1[/C][C]1867.97866157268[/C][C]3.34883902391686[/C][/ROW]
[ROW][C]0.11[/C][C]1869.04675373333[/C][C]3.07767322781256[/C][/ROW]
[ROW][C]0.12[/C][C]1869.98677245232[/C][C]2.87968114350704[/C][/ROW]
[ROW][C]0.13[/C][C]1870.83110076578[/C][C]2.74924031194047[/C][/ROW]
[ROW][C]0.14[/C][C]1871.604016149[/C][C]2.66808574327587[/C][/ROW]
[ROW][C]0.15[/C][C]1872.32234496273[/C][C]2.60652802640495[/C][/ROW]
[ROW][C]0.16[/C][C]1872.99629191448[/C][C]2.5400381578919[/C][/ROW]
[ROW][C]0.17[/C][C]1873.63133151316[/C][C]2.45948630882475[/C][/ROW]
[ROW][C]0.18[/C][C]1874.2309637991[/C][C]2.36868431939804[/C][/ROW]
[ROW][C]0.19[/C][C]1874.7995722494[/C][C]2.28998876686842[/C][/ROW]
[ROW][C]0.2[/C][C]1875.34458802891[/C][C]2.25017334865107[/C][/ROW]
[ROW][C]0.21[/C][C]1875.87746126577[/C][C]2.27808737369083[/C][/ROW]
[ROW][C]0.22[/C][C]1876.41333844702[/C][C]2.40010592735271[/C][/ROW]
[ROW][C]0.23[/C][C]1876.96967945585[/C][C]2.62060940068226[/C][/ROW]
[ROW][C]0.24[/C][C]1877.56424015813[/C][C]2.93210228607438[/C][/ROW]
[ROW][C]0.25[/C][C]1878.21289267683[/C][C]3.31455939853832[/C][/ROW]
[ROW][C]0.26[/C][C]1878.92769407962[/C][C]3.74098379514829[/C][/ROW]
[ROW][C]0.27[/C][C]1879.71549516553[/C][C]4.17797167884028[/C][/ROW]
[ROW][C]0.28[/C][C]1880.57724567755[/C][C]4.59553306659905[/C][/ROW]
[ROW][C]0.29[/C][C]1881.50802634238[/C][C]4.96516644384448[/C][/ROW]
[ROW][C]0.3[/C][C]1882.4977344467[/C][C]5.26468534274264[/C][/ROW]
[ROW][C]0.31[/C][C]1883.53227383009[/C][C]5.47565768169623[/C][/ROW]
[ROW][C]0.32[/C][C]1884.59505485313[/C][C]5.59375705996433[/C][/ROW]
[ROW][C]0.33[/C][C]1885.66859580065[/C][C]5.61608646350746[/C][/ROW]
[ROW][C]0.34[/C][C]1886.73603215228[/C][C]5.55232364271217[/C][/ROW]
[ROW][C]0.35[/C][C]1887.78237831912[/C][C]5.41539858929294[/C][/ROW]
[ROW][C]0.36[/C][C]1888.79543880197[/C][C]5.2216629964828[/C][/ROW]
[ROW][C]0.37[/C][C]1889.76632218361[/C][C]4.98777846667374[/C][/ROW]
[ROW][C]0.38[/C][C]1890.68956321589[/C][C]4.73413619004537[/C][/ROW]
[ROW][C]0.39[/C][C]1891.56289985997[/C][C]4.47800331507409[/C][/ROW]
[ROW][C]0.4[/C][C]1892.38678120001[/C][C]4.22998610135074[/C][/ROW]
[ROW][C]0.41[/C][C]1893.16369882937[/C][C]4.00245651203395[/C][/ROW]
[ROW][C]0.42[/C][C]1893.89743983759[/C][C]3.8005846126926[/C][/ROW]
[ROW][C]0.43[/C][C]1894.59235520389[/C][C]3.62179494557535[/C][/ROW]
[ROW][C]0.44[/C][C]1895.25272434178[/C][C]3.46554546469914[/C][/ROW]
[ROW][C]0.45[/C][C]1895.88227605838[/C][C]3.3258580578429[/C][/ROW]
[ROW][C]0.46[/C][C]1896.48390038201[/C][C]3.19616267034385[/C][/ROW]
[ROW][C]0.47[/C][C]1897.05955767992[/C][C]3.07196568628882[/C][/ROW]
[ROW][C]0.48[/C][C]1897.61036503491[/C][C]2.94883340564228[/C][/ROW]
[ROW][C]0.49[/C][C]1898.13681869088[/C][C]2.8217743719826[/C][/ROW]
[ROW][C]0.5[/C][C]1898.63909826173[/C][C]2.69020949086592[/C][/ROW]
[ROW][C]0.51[/C][C]1899.11739452779[/C][C]2.55631056984846[/C][/ROW]
[ROW][C]0.52[/C][C]1899.57220759232[/C][C]2.42354534986463[/C][/ROW]
[ROW][C]0.53[/C][C]1900.00457427638[/C][C]2.29756511595833[/C][/ROW]
[ROW][C]0.54[/C][C]1900.4162005921[/C][C]2.18059558896621[/C][/ROW]
[ROW][C]0.55[/C][C]1900.80949450433[/C][C]2.07825224171427[/C][/ROW]
[ROW][C]0.56[/C][C]1901.18751356573[/C][C]1.99461376614981[/C][/ROW]
[ROW][C]0.57[/C][C]1901.55385891382[/C][C]1.93181853762079[/C][/ROW]
[ROW][C]0.58[/C][C]1901.91255880865[/C][C]1.89422659114864[/C][/ROW]
[ROW][C]0.59[/C][C]1902.26798836569[/C][C]1.87549827829329[/C][/ROW]
[ROW][C]0.6[/C][C]1902.62486463759[/C][C]1.88498234558223[/C][/ROW]
[ROW][C]0.61[/C][C]1902.98833619687[/C][C]1.91976317454053[/C][/ROW]
[ROW][C]0.62[/C][C]1903.36415490134[/C][C]1.98143792767787[/C][/ROW]
[ROW][C]0.63[/C][C]1903.7588793064[/C][C]2.07755688227876[/C][/ROW]
[ROW][C]0.64[/C][C]1904.18002295976[/C][C]2.21196686921328[/C][/ROW]
[ROW][C]0.65[/C][C]1904.63603829323[/C][C]2.39192974123346[/C][/ROW]
[ROW][C]0.66[/C][C]1905.13603003445[/C][C]2.62242753572359[/C][/ROW]
[ROW][C]0.67[/C][C]1905.68912932151[/C][C]2.90074663498598[/C][/ROW]
[ROW][C]0.68[/C][C]1906.30353124761[/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=282074&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282074&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
0.011845.589934306233.5353382383026
0.021848.197549358956.29187370016667
0.031851.655403424987.50418623615778
0.041855.270481192777.25005910211057
0.051858.544119022976.33237730106775
0.061861.2774951835.38208448585491
0.071863.485224585634.64233290437183
0.081865.269792308644.1020636855813
0.091866.739541521623.68630577189017
0.11867.978661572683.34883902391686
0.111869.046753733333.07767322781256
0.121869.986772452322.87968114350704
0.131870.831100765782.74924031194047
0.141871.6040161492.66808574327587
0.151872.322344962732.60652802640495
0.161872.996291914482.5400381578919
0.171873.631331513162.45948630882475
0.181874.23096379912.36868431939804
0.191874.79957224942.28998876686842
0.21875.344588028912.25017334865107
0.211875.877461265772.27808737369083
0.221876.413338447022.40010592735271
0.231876.969679455852.62060940068226
0.241877.564240158132.93210228607438
0.251878.212892676833.31455939853832
0.261878.927694079623.74098379514829
0.271879.715495165534.17797167884028
0.281880.577245677554.59553306659905
0.291881.508026342384.96516644384448
0.31882.49773444675.26468534274264
0.311883.532273830095.47565768169623
0.321884.595054853135.59375705996433
0.331885.668595800655.61608646350746
0.341886.736032152285.55232364271217
0.351887.782378319125.41539858929294
0.361888.795438801975.2216629964828
0.371889.766322183614.98777846667374
0.381890.689563215894.73413619004537
0.391891.562899859974.47800331507409
0.41892.386781200014.22998610135074
0.411893.163698829374.00245651203395
0.421893.897439837593.8005846126926
0.431894.592355203893.62179494557535
0.441895.252724341783.46554546469914
0.451895.882276058383.3258580578429
0.461896.483900382013.19616267034385
0.471897.059557679923.07196568628882
0.481897.610365034912.94883340564228
0.491898.136818690882.8217743719826
0.51898.639098261732.69020949086592
0.511899.117394527792.55631056984846
0.521899.572207592322.42354534986463
0.531900.004574276382.29756511595833
0.541900.41620059212.18059558896621
0.551900.809494504332.07825224171427
0.561901.187513565731.99461376614981
0.571901.553858913821.93181853762079
0.581901.912558808651.89422659114864
0.591902.267988365691.87549827829329
0.61902.624864637591.88498234558223
0.611902.988336196871.91976317454053
0.621903.364154901341.98143792767787
0.631903.75887930642.07755688227876
0.641904.180022959762.21196686921328
0.651904.636038293232.39192974123346
0.661905.136030034452.62242753572359
0.671905.689129321512.90074663498598
0.681906.303531247613.22109857449421
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 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')