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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, 01 Oct 2013 04:37:59 -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/2013/Oct/01/t1380616754j6wyiksgglpu9ys.htm/, Retrieved Sat, 27 Apr 2024 11:13:52 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=212519, Retrieved Sat, 27 Apr 2024 11:13:52 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

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] [Motorfietsen en s...] [2013-10-01 08:37:59] [3d5e85e1419377f0daeb0f510d27f47a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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
1921.81
1921.48
1917.07
1912.64
1901.15
1898.12
1900.02
1900.02
1900.82
1901.9
1902.19
1901.84

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=212519&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=212519&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212519&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
0.011840.695023847520.943556336561098
0.021841.147999685750.727299610218141
0.031841.578792282930.640892050737834
0.041841.943267731520.631109912630016
0.051842.253463210610.631152782652846
0.061842.530673266310.643179060636441
0.071842.792808847290.694321927202598
0.081843.055048825110.785851720414135
0.091843.330690742010.911157396241437
0.11843.631305759921.06723793181734
0.111843.967629475321.26684779948733
0.121844.350886471581.52651380118996
0.131844.793337342311.8546931795546
0.141845.307389974882.2417591711095
0.151845.903593667032.67547549163702
0.161846.588404760483.12441490579911
0.171847.362587893893.56194423879244
0.181848.220720041813.95991406267017
0.191849.151809266054.29751169789752
0.21850.140737461544.56323631379703
0.211851.170141145144.74758435157531
0.221852.222396399644.85273441151174
0.231853.281474633714.89014296411572
0.241854.334511567324.87377358906656
0.251855.372962793384.82624852321734
0.261856.393229522744.77730884728831
0.271857.396666222474.7498767832927
0.281858.388951426164.76780109905302
0.291859.378908506374.84754839406854
0.31860.376974255824.99077675795662
0.311861.393590905475.18795790109847
0.321862.437812766885.42478838188392
0.331863.516364524185.68364493788567
0.341864.633279630795.94351786350028
0.351865.790115090436.19703721765391
0.361866.986617923816.43471764722314
0.371868.221636798496.65721405861671
0.381869.494043931046.87449596061503
0.391870.803456514517.09137214826078
0.41872.150610369247.31751906516101
0.411873.53732150567.56234435490836
0.421874.966053799037.82894855021715
0.431876.439177711678.10761174975531
0.441877.958047911568.39838781807864
0.451879.522045830698.67861003936461
0.461881.127730689328.93130185898678
0.471882.768225145319.1370663655774
0.481884.43293446949.26800890684006
0.491886.107663730739.30836289766177
0.51887.775156744779.24236567604348
0.511889.416034096899.05606606014149
0.521891.010057804088.74997430720292
0.531892.537602585428.3296851987677
0.541893.981176587727.81298806710242
0.551895.326816977817.21854809432662
0.561896.565195156286.57955844490289
0.571897.692304383435.9244377535204
0.581898.709664246395.28988831646427
0.591899.624049797784.70072895105524
0.61900.446822301394.1845616108386
0.611901.192987225523.76309496888353
0.621901.880121960363.4465824647998
0.631902.527297624073.24208352868411
0.641903.154073212123.1501773856577
0.651903.779582025963.16348152059915
0.661904.421680388723.27172965206295
0.671905.096106425183.45869448412368
0.681905.815613471093.70590746686218
0.691906.589096536823.98888570674028
0.71907.420804207174.28002298307009
0.711908.309793703214.54710925807348
0.721909.249811634924.76514308280012
0.731910.229744013224.9063598512932
0.741911.234673343324.95654255070129
0.751912.24743141564.9068994490752
0.761913.250390049734.76375153221431
0.771914.227143727284.5423583908289
0.781915.163750480744.25910226141427
0.791916.049320061563.93922540801739
0.81916.875937238813.60060974510912
0.811917.638113138213.25361592393885
0.821918.332088737482.90472464766472
0.831918.955316688952.5564205109121
0.841919.506318250362.2104350632632
0.851919.984908054491.87130139890336
0.861920.392594237171.54660719364502
0.871920.732882717861.24619559544373
0.881921.011281273330.979456972300793
0.891921.234980530050.751686585866251
0.91921.412394218830.566387743462826
0.911921.552854087970.421302903816294
0.921921.66667785230.314671500721904
0.931921.765520862760.246042587076741
0.941921.862443321260.220771877330089
0.951921.970695818580.236594297350603
0.961922.100266219080.276137483439913
0.971922.252194005870.304459580559929
0.981922.412588148240.286108768317688
0.991922.550844853080.216756546237372

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1840.69502384752 & 0.943556336561098 \tabularnewline
0.02 & 1841.14799968575 & 0.727299610218141 \tabularnewline
0.03 & 1841.57879228293 & 0.640892050737834 \tabularnewline
0.04 & 1841.94326773152 & 0.631109912630016 \tabularnewline
0.05 & 1842.25346321061 & 0.631152782652846 \tabularnewline
0.06 & 1842.53067326631 & 0.643179060636441 \tabularnewline
0.07 & 1842.79280884729 & 0.694321927202598 \tabularnewline
0.08 & 1843.05504882511 & 0.785851720414135 \tabularnewline
0.09 & 1843.33069074201 & 0.911157396241437 \tabularnewline
0.1 & 1843.63130575992 & 1.06723793181734 \tabularnewline
0.11 & 1843.96762947532 & 1.26684779948733 \tabularnewline
0.12 & 1844.35088647158 & 1.52651380118996 \tabularnewline
0.13 & 1844.79333734231 & 1.8546931795546 \tabularnewline
0.14 & 1845.30738997488 & 2.2417591711095 \tabularnewline
0.15 & 1845.90359366703 & 2.67547549163702 \tabularnewline
0.16 & 1846.58840476048 & 3.12441490579911 \tabularnewline
0.17 & 1847.36258789389 & 3.56194423879244 \tabularnewline
0.18 & 1848.22072004181 & 3.95991406267017 \tabularnewline
0.19 & 1849.15180926605 & 4.29751169789752 \tabularnewline
0.2 & 1850.14073746154 & 4.56323631379703 \tabularnewline
0.21 & 1851.17014114514 & 4.74758435157531 \tabularnewline
0.22 & 1852.22239639964 & 4.85273441151174 \tabularnewline
0.23 & 1853.28147463371 & 4.89014296411572 \tabularnewline
0.24 & 1854.33451156732 & 4.87377358906656 \tabularnewline
0.25 & 1855.37296279338 & 4.82624852321734 \tabularnewline
0.26 & 1856.39322952274 & 4.77730884728831 \tabularnewline
0.27 & 1857.39666622247 & 4.7498767832927 \tabularnewline
0.28 & 1858.38895142616 & 4.76780109905302 \tabularnewline
0.29 & 1859.37890850637 & 4.84754839406854 \tabularnewline
0.3 & 1860.37697425582 & 4.99077675795662 \tabularnewline
0.31 & 1861.39359090547 & 5.18795790109847 \tabularnewline
0.32 & 1862.43781276688 & 5.42478838188392 \tabularnewline
0.33 & 1863.51636452418 & 5.68364493788567 \tabularnewline
0.34 & 1864.63327963079 & 5.94351786350028 \tabularnewline
0.35 & 1865.79011509043 & 6.19703721765391 \tabularnewline
0.36 & 1866.98661792381 & 6.43471764722314 \tabularnewline
0.37 & 1868.22163679849 & 6.65721405861671 \tabularnewline
0.38 & 1869.49404393104 & 6.87449596061503 \tabularnewline
0.39 & 1870.80345651451 & 7.09137214826078 \tabularnewline
0.4 & 1872.15061036924 & 7.31751906516101 \tabularnewline
0.41 & 1873.5373215056 & 7.56234435490836 \tabularnewline
0.42 & 1874.96605379903 & 7.82894855021715 \tabularnewline
0.43 & 1876.43917771167 & 8.10761174975531 \tabularnewline
0.44 & 1877.95804791156 & 8.39838781807864 \tabularnewline
0.45 & 1879.52204583069 & 8.67861003936461 \tabularnewline
0.46 & 1881.12773068932 & 8.93130185898678 \tabularnewline
0.47 & 1882.76822514531 & 9.1370663655774 \tabularnewline
0.48 & 1884.4329344694 & 9.26800890684006 \tabularnewline
0.49 & 1886.10766373073 & 9.30836289766177 \tabularnewline
0.5 & 1887.77515674477 & 9.24236567604348 \tabularnewline
0.51 & 1889.41603409689 & 9.05606606014149 \tabularnewline
0.52 & 1891.01005780408 & 8.74997430720292 \tabularnewline
0.53 & 1892.53760258542 & 8.3296851987677 \tabularnewline
0.54 & 1893.98117658772 & 7.81298806710242 \tabularnewline
0.55 & 1895.32681697781 & 7.21854809432662 \tabularnewline
0.56 & 1896.56519515628 & 6.57955844490289 \tabularnewline
0.57 & 1897.69230438343 & 5.9244377535204 \tabularnewline
0.58 & 1898.70966424639 & 5.28988831646427 \tabularnewline
0.59 & 1899.62404979778 & 4.70072895105524 \tabularnewline
0.6 & 1900.44682230139 & 4.1845616108386 \tabularnewline
0.61 & 1901.19298722552 & 3.76309496888353 \tabularnewline
0.62 & 1901.88012196036 & 3.4465824647998 \tabularnewline
0.63 & 1902.52729762407 & 3.24208352868411 \tabularnewline
0.64 & 1903.15407321212 & 3.1501773856577 \tabularnewline
0.65 & 1903.77958202596 & 3.16348152059915 \tabularnewline
0.66 & 1904.42168038872 & 3.27172965206295 \tabularnewline
0.67 & 1905.09610642518 & 3.45869448412368 \tabularnewline
0.68 & 1905.81561347109 & 3.70590746686218 \tabularnewline
0.69 & 1906.58909653682 & 3.98888570674028 \tabularnewline
0.7 & 1907.42080420717 & 4.28002298307009 \tabularnewline
0.71 & 1908.30979370321 & 4.54710925807348 \tabularnewline
0.72 & 1909.24981163492 & 4.76514308280012 \tabularnewline
0.73 & 1910.22974401322 & 4.9063598512932 \tabularnewline
0.74 & 1911.23467334332 & 4.95654255070129 \tabularnewline
0.75 & 1912.2474314156 & 4.9068994490752 \tabularnewline
0.76 & 1913.25039004973 & 4.76375153221431 \tabularnewline
0.77 & 1914.22714372728 & 4.5423583908289 \tabularnewline
0.78 & 1915.16375048074 & 4.25910226141427 \tabularnewline
0.79 & 1916.04932006156 & 3.93922540801739 \tabularnewline
0.8 & 1916.87593723881 & 3.60060974510912 \tabularnewline
0.81 & 1917.63811313821 & 3.25361592393885 \tabularnewline
0.82 & 1918.33208873748 & 2.90472464766472 \tabularnewline
0.83 & 1918.95531668895 & 2.5564205109121 \tabularnewline
0.84 & 1919.50631825036 & 2.2104350632632 \tabularnewline
0.85 & 1919.98490805449 & 1.87130139890336 \tabularnewline
0.86 & 1920.39259423717 & 1.54660719364502 \tabularnewline
0.87 & 1920.73288271786 & 1.24619559544373 \tabularnewline
0.88 & 1921.01128127333 & 0.979456972300793 \tabularnewline
0.89 & 1921.23498053005 & 0.751686585866251 \tabularnewline
0.9 & 1921.41239421883 & 0.566387743462826 \tabularnewline
0.91 & 1921.55285408797 & 0.421302903816294 \tabularnewline
0.92 & 1921.6666778523 & 0.314671500721904 \tabularnewline
0.93 & 1921.76552086276 & 0.246042587076741 \tabularnewline
0.94 & 1921.86244332126 & 0.220771877330089 \tabularnewline
0.95 & 1921.97069581858 & 0.236594297350603 \tabularnewline
0.96 & 1922.10026621908 & 0.276137483439913 \tabularnewline
0.97 & 1922.25219400587 & 0.304459580559929 \tabularnewline
0.98 & 1922.41258814824 & 0.286108768317688 \tabularnewline
0.99 & 1922.55084485308 & 0.216756546237372 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=212519&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]1840.69502384752[/C][C]0.943556336561098[/C][/ROW]
[ROW][C]0.02[/C][C]1841.14799968575[/C][C]0.727299610218141[/C][/ROW]
[ROW][C]0.03[/C][C]1841.57879228293[/C][C]0.640892050737834[/C][/ROW]
[ROW][C]0.04[/C][C]1841.94326773152[/C][C]0.631109912630016[/C][/ROW]
[ROW][C]0.05[/C][C]1842.25346321061[/C][C]0.631152782652846[/C][/ROW]
[ROW][C]0.06[/C][C]1842.53067326631[/C][C]0.643179060636441[/C][/ROW]
[ROW][C]0.07[/C][C]1842.79280884729[/C][C]0.694321927202598[/C][/ROW]
[ROW][C]0.08[/C][C]1843.05504882511[/C][C]0.785851720414135[/C][/ROW]
[ROW][C]0.09[/C][C]1843.33069074201[/C][C]0.911157396241437[/C][/ROW]
[ROW][C]0.1[/C][C]1843.63130575992[/C][C]1.06723793181734[/C][/ROW]
[ROW][C]0.11[/C][C]1843.96762947532[/C][C]1.26684779948733[/C][/ROW]
[ROW][C]0.12[/C][C]1844.35088647158[/C][C]1.52651380118996[/C][/ROW]
[ROW][C]0.13[/C][C]1844.79333734231[/C][C]1.8546931795546[/C][/ROW]
[ROW][C]0.14[/C][C]1845.30738997488[/C][C]2.2417591711095[/C][/ROW]
[ROW][C]0.15[/C][C]1845.90359366703[/C][C]2.67547549163702[/C][/ROW]
[ROW][C]0.16[/C][C]1846.58840476048[/C][C]3.12441490579911[/C][/ROW]
[ROW][C]0.17[/C][C]1847.36258789389[/C][C]3.56194423879244[/C][/ROW]
[ROW][C]0.18[/C][C]1848.22072004181[/C][C]3.95991406267017[/C][/ROW]
[ROW][C]0.19[/C][C]1849.15180926605[/C][C]4.29751169789752[/C][/ROW]
[ROW][C]0.2[/C][C]1850.14073746154[/C][C]4.56323631379703[/C][/ROW]
[ROW][C]0.21[/C][C]1851.17014114514[/C][C]4.74758435157531[/C][/ROW]
[ROW][C]0.22[/C][C]1852.22239639964[/C][C]4.85273441151174[/C][/ROW]
[ROW][C]0.23[/C][C]1853.28147463371[/C][C]4.89014296411572[/C][/ROW]
[ROW][C]0.24[/C][C]1854.33451156732[/C][C]4.87377358906656[/C][/ROW]
[ROW][C]0.25[/C][C]1855.37296279338[/C][C]4.82624852321734[/C][/ROW]
[ROW][C]0.26[/C][C]1856.39322952274[/C][C]4.77730884728831[/C][/ROW]
[ROW][C]0.27[/C][C]1857.39666622247[/C][C]4.7498767832927[/C][/ROW]
[ROW][C]0.28[/C][C]1858.38895142616[/C][C]4.76780109905302[/C][/ROW]
[ROW][C]0.29[/C][C]1859.37890850637[/C][C]4.84754839406854[/C][/ROW]
[ROW][C]0.3[/C][C]1860.37697425582[/C][C]4.99077675795662[/C][/ROW]
[ROW][C]0.31[/C][C]1861.39359090547[/C][C]5.18795790109847[/C][/ROW]
[ROW][C]0.32[/C][C]1862.43781276688[/C][C]5.42478838188392[/C][/ROW]
[ROW][C]0.33[/C][C]1863.51636452418[/C][C]5.68364493788567[/C][/ROW]
[ROW][C]0.34[/C][C]1864.63327963079[/C][C]5.94351786350028[/C][/ROW]
[ROW][C]0.35[/C][C]1865.79011509043[/C][C]6.19703721765391[/C][/ROW]
[ROW][C]0.36[/C][C]1866.98661792381[/C][C]6.43471764722314[/C][/ROW]
[ROW][C]0.37[/C][C]1868.22163679849[/C][C]6.65721405861671[/C][/ROW]
[ROW][C]0.38[/C][C]1869.49404393104[/C][C]6.87449596061503[/C][/ROW]
[ROW][C]0.39[/C][C]1870.80345651451[/C][C]7.09137214826078[/C][/ROW]
[ROW][C]0.4[/C][C]1872.15061036924[/C][C]7.31751906516101[/C][/ROW]
[ROW][C]0.41[/C][C]1873.5373215056[/C][C]7.56234435490836[/C][/ROW]
[ROW][C]0.42[/C][C]1874.96605379903[/C][C]7.82894855021715[/C][/ROW]
[ROW][C]0.43[/C][C]1876.43917771167[/C][C]8.10761174975531[/C][/ROW]
[ROW][C]0.44[/C][C]1877.95804791156[/C][C]8.39838781807864[/C][/ROW]
[ROW][C]0.45[/C][C]1879.52204583069[/C][C]8.67861003936461[/C][/ROW]
[ROW][C]0.46[/C][C]1881.12773068932[/C][C]8.93130185898678[/C][/ROW]
[ROW][C]0.47[/C][C]1882.76822514531[/C][C]9.1370663655774[/C][/ROW]
[ROW][C]0.48[/C][C]1884.4329344694[/C][C]9.26800890684006[/C][/ROW]
[ROW][C]0.49[/C][C]1886.10766373073[/C][C]9.30836289766177[/C][/ROW]
[ROW][C]0.5[/C][C]1887.77515674477[/C][C]9.24236567604348[/C][/ROW]
[ROW][C]0.51[/C][C]1889.41603409689[/C][C]9.05606606014149[/C][/ROW]
[ROW][C]0.52[/C][C]1891.01005780408[/C][C]8.74997430720292[/C][/ROW]
[ROW][C]0.53[/C][C]1892.53760258542[/C][C]8.3296851987677[/C][/ROW]
[ROW][C]0.54[/C][C]1893.98117658772[/C][C]7.81298806710242[/C][/ROW]
[ROW][C]0.55[/C][C]1895.32681697781[/C][C]7.21854809432662[/C][/ROW]
[ROW][C]0.56[/C][C]1896.56519515628[/C][C]6.57955844490289[/C][/ROW]
[ROW][C]0.57[/C][C]1897.69230438343[/C][C]5.9244377535204[/C][/ROW]
[ROW][C]0.58[/C][C]1898.70966424639[/C][C]5.28988831646427[/C][/ROW]
[ROW][C]0.59[/C][C]1899.62404979778[/C][C]4.70072895105524[/C][/ROW]
[ROW][C]0.6[/C][C]1900.44682230139[/C][C]4.1845616108386[/C][/ROW]
[ROW][C]0.61[/C][C]1901.19298722552[/C][C]3.76309496888353[/C][/ROW]
[ROW][C]0.62[/C][C]1901.88012196036[/C][C]3.4465824647998[/C][/ROW]
[ROW][C]0.63[/C][C]1902.52729762407[/C][C]3.24208352868411[/C][/ROW]
[ROW][C]0.64[/C][C]1903.15407321212[/C][C]3.1501773856577[/C][/ROW]
[ROW][C]0.65[/C][C]1903.77958202596[/C][C]3.16348152059915[/C][/ROW]
[ROW][C]0.66[/C][C]1904.42168038872[/C][C]3.27172965206295[/C][/ROW]
[ROW][C]0.67[/C][C]1905.09610642518[/C][C]3.45869448412368[/C][/ROW]
[ROW][C]0.68[/C][C]1905.81561347109[/C][C]3.70590746686218[/C][/ROW]
[ROW][C]0.69[/C][C]1906.58909653682[/C][C]3.98888570674028[/C][/ROW]
[ROW][C]0.7[/C][C]1907.42080420717[/C][C]4.28002298307009[/C][/ROW]
[ROW][C]0.71[/C][C]1908.30979370321[/C][C]4.54710925807348[/C][/ROW]
[ROW][C]0.72[/C][C]1909.24981163492[/C][C]4.76514308280012[/C][/ROW]
[ROW][C]0.73[/C][C]1910.22974401322[/C][C]4.9063598512932[/C][/ROW]
[ROW][C]0.74[/C][C]1911.23467334332[/C][C]4.95654255070129[/C][/ROW]
[ROW][C]0.75[/C][C]1912.2474314156[/C][C]4.9068994490752[/C][/ROW]
[ROW][C]0.76[/C][C]1913.25039004973[/C][C]4.76375153221431[/C][/ROW]
[ROW][C]0.77[/C][C]1914.22714372728[/C][C]4.5423583908289[/C][/ROW]
[ROW][C]0.78[/C][C]1915.16375048074[/C][C]4.25910226141427[/C][/ROW]
[ROW][C]0.79[/C][C]1916.04932006156[/C][C]3.93922540801739[/C][/ROW]
[ROW][C]0.8[/C][C]1916.87593723881[/C][C]3.60060974510912[/C][/ROW]
[ROW][C]0.81[/C][C]1917.63811313821[/C][C]3.25361592393885[/C][/ROW]
[ROW][C]0.82[/C][C]1918.33208873748[/C][C]2.90472464766472[/C][/ROW]
[ROW][C]0.83[/C][C]1918.95531668895[/C][C]2.5564205109121[/C][/ROW]
[ROW][C]0.84[/C][C]1919.50631825036[/C][C]2.2104350632632[/C][/ROW]
[ROW][C]0.85[/C][C]1919.98490805449[/C][C]1.87130139890336[/C][/ROW]
[ROW][C]0.86[/C][C]1920.39259423717[/C][C]1.54660719364502[/C][/ROW]
[ROW][C]0.87[/C][C]1920.73288271786[/C][C]1.24619559544373[/C][/ROW]
[ROW][C]0.88[/C][C]1921.01128127333[/C][C]0.979456972300793[/C][/ROW]
[ROW][C]0.89[/C][C]1921.23498053005[/C][C]0.751686585866251[/C][/ROW]
[ROW][C]0.9[/C][C]1921.41239421883[/C][C]0.566387743462826[/C][/ROW]
[ROW][C]0.91[/C][C]1921.55285408797[/C][C]0.421302903816294[/C][/ROW]
[ROW][C]0.92[/C][C]1921.6666778523[/C][C]0.314671500721904[/C][/ROW]
[ROW][C]0.93[/C][C]1921.76552086276[/C][C]0.246042587076741[/C][/ROW]
[ROW][C]0.94[/C][C]1921.86244332126[/C][C]0.220771877330089[/C][/ROW]
[ROW][C]0.95[/C][C]1921.97069581858[/C][C]0.236594297350603[/C][/ROW]
[ROW][C]0.96[/C][C]1922.10026621908[/C][C]0.276137483439913[/C][/ROW]
[ROW][C]0.97[/C][C]1922.25219400587[/C][C]0.304459580559929[/C][/ROW]
[ROW][C]0.98[/C][C]1922.41258814824[/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=212519&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=212519&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
0.011840.695023847520.943556336561098
0.021841.147999685750.727299610218141
0.031841.578792282930.640892050737834
0.041841.943267731520.631109912630016
0.051842.253463210610.631152782652846
0.061842.530673266310.643179060636441
0.071842.792808847290.694321927202598
0.081843.055048825110.785851720414135
0.091843.330690742010.911157396241437
0.11843.631305759921.06723793181734
0.111843.967629475321.26684779948733
0.121844.350886471581.52651380118996
0.131844.793337342311.8546931795546
0.141845.307389974882.2417591711095
0.151845.903593667032.67547549163702
0.161846.588404760483.12441490579911
0.171847.362587893893.56194423879244
0.181848.220720041813.95991406267017
0.191849.151809266054.29751169789752
0.21850.140737461544.56323631379703
0.211851.170141145144.74758435157531
0.221852.222396399644.85273441151174
0.231853.281474633714.89014296411572
0.241854.334511567324.87377358906656
0.251855.372962793384.82624852321734
0.261856.393229522744.77730884728831
0.271857.396666222474.7498767832927
0.281858.388951426164.76780109905302
0.291859.378908506374.84754839406854
0.31860.376974255824.99077675795662
0.311861.393590905475.18795790109847
0.321862.437812766885.42478838188392
0.331863.516364524185.68364493788567
0.341864.633279630795.94351786350028
0.351865.790115090436.19703721765391
0.361866.986617923816.43471764722314
0.371868.221636798496.65721405861671
0.381869.494043931046.87449596061503
0.391870.803456514517.09137214826078
0.41872.150610369247.31751906516101
0.411873.53732150567.56234435490836
0.421874.966053799037.82894855021715
0.431876.439177711678.10761174975531
0.441877.958047911568.39838781807864
0.451879.522045830698.67861003936461
0.461881.127730689328.93130185898678
0.471882.768225145319.1370663655774
0.481884.43293446949.26800890684006
0.491886.107663730739.30836289766177
0.51887.775156744779.24236567604348
0.511889.416034096899.05606606014149
0.521891.010057804088.74997430720292
0.531892.537602585428.3296851987677
0.541893.981176587727.81298806710242
0.551895.326816977817.21854809432662
0.561896.565195156286.57955844490289
0.571897.692304383435.9244377535204
0.581898.709664246395.28988831646427
0.591899.624049797784.70072895105524
0.61900.446822301394.1845616108386
0.611901.192987225523.76309496888353
0.621901.880121960363.4465824647998
0.631902.527297624073.24208352868411
0.641903.154073212123.1501773856577
0.651903.779582025963.16348152059915
0.661904.421680388723.27172965206295
0.671905.096106425183.45869448412368
0.681905.815613471093.70590746686218
0.691906.589096536823.98888570674028
0.71907.420804207174.28002298307009
0.711908.309793703214.54710925807348
0.721909.249811634924.76514308280012
0.731910.229744013224.9063598512932
0.741911.234673343324.95654255070129
0.751912.24743141564.9068994490752
0.761913.250390049734.76375153221431
0.771914.227143727284.5423583908289
0.781915.163750480744.25910226141427
0.791916.049320061563.93922540801739
0.81916.875937238813.60060974510912
0.811917.638113138213.25361592393885
0.821918.332088737482.90472464766472
0.831918.955316688952.5564205109121
0.841919.506318250362.2104350632632
0.851919.984908054491.87130139890336
0.861920.392594237171.54660719364502
0.871920.732882717861.24619559544373
0.881921.011281273330.979456972300793
0.891921.234980530050.751686585866251
0.91921.412394218830.566387743462826
0.911921.552854087970.421302903816294
0.921921.66667785230.314671500721904
0.931921.765520862760.246042587076741
0.941921.862443321260.220771877330089
0.951921.970695818580.236594297350603
0.961922.100266219080.276137483439913
0.971922.252194005870.304459580559929
0.981922.412588148240.286108768317688
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')