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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 computationThu, 08 Oct 2015 09:55:32 +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/08/t1444294634bl662lu498vowzf.htm/, Retrieved Wed, 15 May 2024 23:10:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=281417, Retrieved Wed, 15 May 2024 23:10:14 +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] [] [2015-10-08 08:55:32] [1faf68c5110a4cb4d7d9116a9189ca68] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1795
1756
2237
1960
1829
2524
2077
2366
2185
2098
1836
1863
2044
2136
2931
3263
3328
3570
2313
1623
1316
1507
1419
1660
1790
1733
2086
1814
2241
1943
1773
2143
2087
1805
1913
2296
2500
2210
2526
2249
2024
2091
2045
1882
1831
1964
1763
1688
2149
1823
2094
2145
1790
1996
2097
1795
1963
2041
1746
2210
2949
3110
3716
3014
1515
1498
1366
1607
1757
1623
1451
1765

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=281417&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=281417&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281417&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
0.011333.884753431349.7199397924827
0.021362.2603933117852.3075976255513
0.031393.3312269846254.8693968248278
0.041422.9757593893856.1164524711
0.051450.1758253759756.9629011044829
0.061475.2549899752558.5392761472819
0.071498.8750010023761.2394583018877
0.081521.6285874531764.6242406106704
0.091543.8862917697467.8074103790082
0.11565.7683744748370.0156742764437
0.111587.1984058514570.9181839541004
0.121607.9941476143370.596211349188
0.131627.9496708943969.299607828724
0.141646.8823613982767.2255350617162
0.151664.6453589774564.436162293375
0.161681.1226418122860.91565008807
0.171696.224720553856.6870527450689
0.181709.8933642465351.8903153196494
0.191722.1131835228946.7810792232971
0.21732.9224331516341.6951715963043
0.211742.4160874940336.9621921128012
0.221750.7385689899232.8498194207734
0.231758.0681515589129.5256101656219
0.241764.5978114190327.0343748586351
0.251770.5175981960925.3332951323242
0.261776.0020967430124.3188759550317
0.271781.2043425090823.8838929399903
0.281786.2555852110123.94119315441
0.291791.2690782096124.4440056674337
0.31796.3456825749725.3820558037057
0.311801.5793137335526.7651204712891
0.321807.060827580828.6191095341872
0.331812.8795868383930.9526120457902
0.341819.1225172230733.764736588551
0.351825.8709083515737.0176565435351
0.361833.1955472466940.6350910157561
0.371841.1510137096444.5076982183611
0.381849.7701151956248.4901798038833
0.391859.059465943652.4103230793136
0.41868.9970856075856.0987993989767
0.411879.532593679359.383971366845
0.421890.5901401174362.1388665139736
0.431902.0737214381464.2697553458331
0.441913.8740973131865.7289131545951
0.451925.8762544091666.5141047895629
0.461937.966331443966.6684685134718
0.471950.0371285787666.2530090262219
0.481961.9917154101565.3453726354787
0.491973.7451177608464.0113681925118
0.51985.2244830533862.3189708054609
0.511996.3683977144360.3182634330272
0.522007.126105489258.0583887985044
0.532017.4572561970455.5783095553571
0.542027.3325507728952.9344368854168
0.552036.7353175921150.1888566106009
0.562045.6637379664947.4285362384615
0.572054.1332016876144.7517319254264
0.582062.1781584719442.2763525192092
0.592069.8528532926140.1202028845137
0.62077.2304835542738.3991082055655
0.612084.4005640286337.2104897249684
0.622091.4645858872736.6228072026983
0.632098.5303548617236.651221633568
0.642105.7056381827537.2646892626361
0.652113.0919028580938.3971575630195
0.662120.7789769446539.9383876166194
0.672128.8414268064141.7738606303176
0.682137.3373511508143.7905898182898
0.692146.3101782240945.8906271548111
0.72155.7939208827248.0108794697903
0.712165.8221616613850.1348943973779
0.722176.4407450081952.3169975022418
0.732187.7236945644154.6835077750173
0.742199.7912593487757.4655578071057
0.752212.8283367629560.9813524655255
0.762227.1010355223865.624585224462
0.772242.9690649558271.8097626629827
0.782260.8920761598779.9235258062452
0.792281.4288300010190.2658750210004
0.82305.22851418825103.024886047729
0.812333.01282638038118.265849964288
0.822365.54507309047135.925718720197
0.832403.57924790713155.768419176638
0.842447.78058595793177.269140589439
0.852498.6138151454199.4416110942
0.862556.20987387465220.690005868733
0.872620.24497711304238.846285831144
0.882689.88787002599251.518808160313
0.892763.8751605952256.773375958122
0.92840.74672231967253.94970832972
0.912919.21676654246244.204372392479
0.922998.59857668583230.40202486758
0.933079.17378331724216.239699296987
0.943162.39346835627205.102957198882
0.953250.74881535182199.295592778041
0.963346.97243751945198.803258405287
0.973451.95206290481198.060700202941
0.983560.70078402031186.223347328958
0.993657.32282321557161.691342584931

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1333.8847534313 & 49.7199397924827 \tabularnewline
0.02 & 1362.26039331178 & 52.3075976255513 \tabularnewline
0.03 & 1393.33122698462 & 54.8693968248278 \tabularnewline
0.04 & 1422.97575938938 & 56.1164524711 \tabularnewline
0.05 & 1450.17582537597 & 56.9629011044829 \tabularnewline
0.06 & 1475.25498997525 & 58.5392761472819 \tabularnewline
0.07 & 1498.87500100237 & 61.2394583018877 \tabularnewline
0.08 & 1521.62858745317 & 64.6242406106704 \tabularnewline
0.09 & 1543.88629176974 & 67.8074103790082 \tabularnewline
0.1 & 1565.76837447483 & 70.0156742764437 \tabularnewline
0.11 & 1587.19840585145 & 70.9181839541004 \tabularnewline
0.12 & 1607.99414761433 & 70.596211349188 \tabularnewline
0.13 & 1627.94967089439 & 69.299607828724 \tabularnewline
0.14 & 1646.88236139827 & 67.2255350617162 \tabularnewline
0.15 & 1664.64535897745 & 64.436162293375 \tabularnewline
0.16 & 1681.12264181228 & 60.91565008807 \tabularnewline
0.17 & 1696.2247205538 & 56.6870527450689 \tabularnewline
0.18 & 1709.89336424653 & 51.8903153196494 \tabularnewline
0.19 & 1722.11318352289 & 46.7810792232971 \tabularnewline
0.2 & 1732.92243315163 & 41.6951715963043 \tabularnewline
0.21 & 1742.41608749403 & 36.9621921128012 \tabularnewline
0.22 & 1750.73856898992 & 32.8498194207734 \tabularnewline
0.23 & 1758.06815155891 & 29.5256101656219 \tabularnewline
0.24 & 1764.59781141903 & 27.0343748586351 \tabularnewline
0.25 & 1770.51759819609 & 25.3332951323242 \tabularnewline
0.26 & 1776.00209674301 & 24.3188759550317 \tabularnewline
0.27 & 1781.20434250908 & 23.8838929399903 \tabularnewline
0.28 & 1786.25558521101 & 23.94119315441 \tabularnewline
0.29 & 1791.26907820961 & 24.4440056674337 \tabularnewline
0.3 & 1796.34568257497 & 25.3820558037057 \tabularnewline
0.31 & 1801.57931373355 & 26.7651204712891 \tabularnewline
0.32 & 1807.0608275808 & 28.6191095341872 \tabularnewline
0.33 & 1812.87958683839 & 30.9526120457902 \tabularnewline
0.34 & 1819.12251722307 & 33.764736588551 \tabularnewline
0.35 & 1825.87090835157 & 37.0176565435351 \tabularnewline
0.36 & 1833.19554724669 & 40.6350910157561 \tabularnewline
0.37 & 1841.15101370964 & 44.5076982183611 \tabularnewline
0.38 & 1849.77011519562 & 48.4901798038833 \tabularnewline
0.39 & 1859.0594659436 & 52.4103230793136 \tabularnewline
0.4 & 1868.99708560758 & 56.0987993989767 \tabularnewline
0.41 & 1879.5325936793 & 59.383971366845 \tabularnewline
0.42 & 1890.59014011743 & 62.1388665139736 \tabularnewline
0.43 & 1902.07372143814 & 64.2697553458331 \tabularnewline
0.44 & 1913.87409731318 & 65.7289131545951 \tabularnewline
0.45 & 1925.87625440916 & 66.5141047895629 \tabularnewline
0.46 & 1937.9663314439 & 66.6684685134718 \tabularnewline
0.47 & 1950.03712857876 & 66.2530090262219 \tabularnewline
0.48 & 1961.99171541015 & 65.3453726354787 \tabularnewline
0.49 & 1973.74511776084 & 64.0113681925118 \tabularnewline
0.5 & 1985.22448305338 & 62.3189708054609 \tabularnewline
0.51 & 1996.36839771443 & 60.3182634330272 \tabularnewline
0.52 & 2007.1261054892 & 58.0583887985044 \tabularnewline
0.53 & 2017.45725619704 & 55.5783095553571 \tabularnewline
0.54 & 2027.33255077289 & 52.9344368854168 \tabularnewline
0.55 & 2036.73531759211 & 50.1888566106009 \tabularnewline
0.56 & 2045.66373796649 & 47.4285362384615 \tabularnewline
0.57 & 2054.13320168761 & 44.7517319254264 \tabularnewline
0.58 & 2062.17815847194 & 42.2763525192092 \tabularnewline
0.59 & 2069.85285329261 & 40.1202028845137 \tabularnewline
0.6 & 2077.23048355427 & 38.3991082055655 \tabularnewline
0.61 & 2084.40056402863 & 37.2104897249684 \tabularnewline
0.62 & 2091.46458588727 & 36.6228072026983 \tabularnewline
0.63 & 2098.53035486172 & 36.651221633568 \tabularnewline
0.64 & 2105.70563818275 & 37.2646892626361 \tabularnewline
0.65 & 2113.09190285809 & 38.3971575630195 \tabularnewline
0.66 & 2120.77897694465 & 39.9383876166194 \tabularnewline
0.67 & 2128.84142680641 & 41.7738606303176 \tabularnewline
0.68 & 2137.33735115081 & 43.7905898182898 \tabularnewline
0.69 & 2146.31017822409 & 45.8906271548111 \tabularnewline
0.7 & 2155.79392088272 & 48.0108794697903 \tabularnewline
0.71 & 2165.82216166138 & 50.1348943973779 \tabularnewline
0.72 & 2176.44074500819 & 52.3169975022418 \tabularnewline
0.73 & 2187.72369456441 & 54.6835077750173 \tabularnewline
0.74 & 2199.79125934877 & 57.4655578071057 \tabularnewline
0.75 & 2212.82833676295 & 60.9813524655255 \tabularnewline
0.76 & 2227.10103552238 & 65.624585224462 \tabularnewline
0.77 & 2242.96906495582 & 71.8097626629827 \tabularnewline
0.78 & 2260.89207615987 & 79.9235258062452 \tabularnewline
0.79 & 2281.42883000101 & 90.2658750210004 \tabularnewline
0.8 & 2305.22851418825 & 103.024886047729 \tabularnewline
0.81 & 2333.01282638038 & 118.265849964288 \tabularnewline
0.82 & 2365.54507309047 & 135.925718720197 \tabularnewline
0.83 & 2403.57924790713 & 155.768419176638 \tabularnewline
0.84 & 2447.78058595793 & 177.269140589439 \tabularnewline
0.85 & 2498.6138151454 & 199.4416110942 \tabularnewline
0.86 & 2556.20987387465 & 220.690005868733 \tabularnewline
0.87 & 2620.24497711304 & 238.846285831144 \tabularnewline
0.88 & 2689.88787002599 & 251.518808160313 \tabularnewline
0.89 & 2763.8751605952 & 256.773375958122 \tabularnewline
0.9 & 2840.74672231967 & 253.94970832972 \tabularnewline
0.91 & 2919.21676654246 & 244.204372392479 \tabularnewline
0.92 & 2998.59857668583 & 230.40202486758 \tabularnewline
0.93 & 3079.17378331724 & 216.239699296987 \tabularnewline
0.94 & 3162.39346835627 & 205.102957198882 \tabularnewline
0.95 & 3250.74881535182 & 199.295592778041 \tabularnewline
0.96 & 3346.97243751945 & 198.803258405287 \tabularnewline
0.97 & 3451.95206290481 & 198.060700202941 \tabularnewline
0.98 & 3560.70078402031 & 186.223347328958 \tabularnewline
0.99 & 3657.32282321557 & 161.691342584931 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=281417&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]1333.8847534313[/C][C]49.7199397924827[/C][/ROW]
[ROW][C]0.02[/C][C]1362.26039331178[/C][C]52.3075976255513[/C][/ROW]
[ROW][C]0.03[/C][C]1393.33122698462[/C][C]54.8693968248278[/C][/ROW]
[ROW][C]0.04[/C][C]1422.97575938938[/C][C]56.1164524711[/C][/ROW]
[ROW][C]0.05[/C][C]1450.17582537597[/C][C]56.9629011044829[/C][/ROW]
[ROW][C]0.06[/C][C]1475.25498997525[/C][C]58.5392761472819[/C][/ROW]
[ROW][C]0.07[/C][C]1498.87500100237[/C][C]61.2394583018877[/C][/ROW]
[ROW][C]0.08[/C][C]1521.62858745317[/C][C]64.6242406106704[/C][/ROW]
[ROW][C]0.09[/C][C]1543.88629176974[/C][C]67.8074103790082[/C][/ROW]
[ROW][C]0.1[/C][C]1565.76837447483[/C][C]70.0156742764437[/C][/ROW]
[ROW][C]0.11[/C][C]1587.19840585145[/C][C]70.9181839541004[/C][/ROW]
[ROW][C]0.12[/C][C]1607.99414761433[/C][C]70.596211349188[/C][/ROW]
[ROW][C]0.13[/C][C]1627.94967089439[/C][C]69.299607828724[/C][/ROW]
[ROW][C]0.14[/C][C]1646.88236139827[/C][C]67.2255350617162[/C][/ROW]
[ROW][C]0.15[/C][C]1664.64535897745[/C][C]64.436162293375[/C][/ROW]
[ROW][C]0.16[/C][C]1681.12264181228[/C][C]60.91565008807[/C][/ROW]
[ROW][C]0.17[/C][C]1696.2247205538[/C][C]56.6870527450689[/C][/ROW]
[ROW][C]0.18[/C][C]1709.89336424653[/C][C]51.8903153196494[/C][/ROW]
[ROW][C]0.19[/C][C]1722.11318352289[/C][C]46.7810792232971[/C][/ROW]
[ROW][C]0.2[/C][C]1732.92243315163[/C][C]41.6951715963043[/C][/ROW]
[ROW][C]0.21[/C][C]1742.41608749403[/C][C]36.9621921128012[/C][/ROW]
[ROW][C]0.22[/C][C]1750.73856898992[/C][C]32.8498194207734[/C][/ROW]
[ROW][C]0.23[/C][C]1758.06815155891[/C][C]29.5256101656219[/C][/ROW]
[ROW][C]0.24[/C][C]1764.59781141903[/C][C]27.0343748586351[/C][/ROW]
[ROW][C]0.25[/C][C]1770.51759819609[/C][C]25.3332951323242[/C][/ROW]
[ROW][C]0.26[/C][C]1776.00209674301[/C][C]24.3188759550317[/C][/ROW]
[ROW][C]0.27[/C][C]1781.20434250908[/C][C]23.8838929399903[/C][/ROW]
[ROW][C]0.28[/C][C]1786.25558521101[/C][C]23.94119315441[/C][/ROW]
[ROW][C]0.29[/C][C]1791.26907820961[/C][C]24.4440056674337[/C][/ROW]
[ROW][C]0.3[/C][C]1796.34568257497[/C][C]25.3820558037057[/C][/ROW]
[ROW][C]0.31[/C][C]1801.57931373355[/C][C]26.7651204712891[/C][/ROW]
[ROW][C]0.32[/C][C]1807.0608275808[/C][C]28.6191095341872[/C][/ROW]
[ROW][C]0.33[/C][C]1812.87958683839[/C][C]30.9526120457902[/C][/ROW]
[ROW][C]0.34[/C][C]1819.12251722307[/C][C]33.764736588551[/C][/ROW]
[ROW][C]0.35[/C][C]1825.87090835157[/C][C]37.0176565435351[/C][/ROW]
[ROW][C]0.36[/C][C]1833.19554724669[/C][C]40.6350910157561[/C][/ROW]
[ROW][C]0.37[/C][C]1841.15101370964[/C][C]44.5076982183611[/C][/ROW]
[ROW][C]0.38[/C][C]1849.77011519562[/C][C]48.4901798038833[/C][/ROW]
[ROW][C]0.39[/C][C]1859.0594659436[/C][C]52.4103230793136[/C][/ROW]
[ROW][C]0.4[/C][C]1868.99708560758[/C][C]56.0987993989767[/C][/ROW]
[ROW][C]0.41[/C][C]1879.5325936793[/C][C]59.383971366845[/C][/ROW]
[ROW][C]0.42[/C][C]1890.59014011743[/C][C]62.1388665139736[/C][/ROW]
[ROW][C]0.43[/C][C]1902.07372143814[/C][C]64.2697553458331[/C][/ROW]
[ROW][C]0.44[/C][C]1913.87409731318[/C][C]65.7289131545951[/C][/ROW]
[ROW][C]0.45[/C][C]1925.87625440916[/C][C]66.5141047895629[/C][/ROW]
[ROW][C]0.46[/C][C]1937.9663314439[/C][C]66.6684685134718[/C][/ROW]
[ROW][C]0.47[/C][C]1950.03712857876[/C][C]66.2530090262219[/C][/ROW]
[ROW][C]0.48[/C][C]1961.99171541015[/C][C]65.3453726354787[/C][/ROW]
[ROW][C]0.49[/C][C]1973.74511776084[/C][C]64.0113681925118[/C][/ROW]
[ROW][C]0.5[/C][C]1985.22448305338[/C][C]62.3189708054609[/C][/ROW]
[ROW][C]0.51[/C][C]1996.36839771443[/C][C]60.3182634330272[/C][/ROW]
[ROW][C]0.52[/C][C]2007.1261054892[/C][C]58.0583887985044[/C][/ROW]
[ROW][C]0.53[/C][C]2017.45725619704[/C][C]55.5783095553571[/C][/ROW]
[ROW][C]0.54[/C][C]2027.33255077289[/C][C]52.9344368854168[/C][/ROW]
[ROW][C]0.55[/C][C]2036.73531759211[/C][C]50.1888566106009[/C][/ROW]
[ROW][C]0.56[/C][C]2045.66373796649[/C][C]47.4285362384615[/C][/ROW]
[ROW][C]0.57[/C][C]2054.13320168761[/C][C]44.7517319254264[/C][/ROW]
[ROW][C]0.58[/C][C]2062.17815847194[/C][C]42.2763525192092[/C][/ROW]
[ROW][C]0.59[/C][C]2069.85285329261[/C][C]40.1202028845137[/C][/ROW]
[ROW][C]0.6[/C][C]2077.23048355427[/C][C]38.3991082055655[/C][/ROW]
[ROW][C]0.61[/C][C]2084.40056402863[/C][C]37.2104897249684[/C][/ROW]
[ROW][C]0.62[/C][C]2091.46458588727[/C][C]36.6228072026983[/C][/ROW]
[ROW][C]0.63[/C][C]2098.53035486172[/C][C]36.651221633568[/C][/ROW]
[ROW][C]0.64[/C][C]2105.70563818275[/C][C]37.2646892626361[/C][/ROW]
[ROW][C]0.65[/C][C]2113.09190285809[/C][C]38.3971575630195[/C][/ROW]
[ROW][C]0.66[/C][C]2120.77897694465[/C][C]39.9383876166194[/C][/ROW]
[ROW][C]0.67[/C][C]2128.84142680641[/C][C]41.7738606303176[/C][/ROW]
[ROW][C]0.68[/C][C]2137.33735115081[/C][C]43.7905898182898[/C][/ROW]
[ROW][C]0.69[/C][C]2146.31017822409[/C][C]45.8906271548111[/C][/ROW]
[ROW][C]0.7[/C][C]2155.79392088272[/C][C]48.0108794697903[/C][/ROW]
[ROW][C]0.71[/C][C]2165.82216166138[/C][C]50.1348943973779[/C][/ROW]
[ROW][C]0.72[/C][C]2176.44074500819[/C][C]52.3169975022418[/C][/ROW]
[ROW][C]0.73[/C][C]2187.72369456441[/C][C]54.6835077750173[/C][/ROW]
[ROW][C]0.74[/C][C]2199.79125934877[/C][C]57.4655578071057[/C][/ROW]
[ROW][C]0.75[/C][C]2212.82833676295[/C][C]60.9813524655255[/C][/ROW]
[ROW][C]0.76[/C][C]2227.10103552238[/C][C]65.624585224462[/C][/ROW]
[ROW][C]0.77[/C][C]2242.96906495582[/C][C]71.8097626629827[/C][/ROW]
[ROW][C]0.78[/C][C]2260.89207615987[/C][C]79.9235258062452[/C][/ROW]
[ROW][C]0.79[/C][C]2281.42883000101[/C][C]90.2658750210004[/C][/ROW]
[ROW][C]0.8[/C][C]2305.22851418825[/C][C]103.024886047729[/C][/ROW]
[ROW][C]0.81[/C][C]2333.01282638038[/C][C]118.265849964288[/C][/ROW]
[ROW][C]0.82[/C][C]2365.54507309047[/C][C]135.925718720197[/C][/ROW]
[ROW][C]0.83[/C][C]2403.57924790713[/C][C]155.768419176638[/C][/ROW]
[ROW][C]0.84[/C][C]2447.78058595793[/C][C]177.269140589439[/C][/ROW]
[ROW][C]0.85[/C][C]2498.6138151454[/C][C]199.4416110942[/C][/ROW]
[ROW][C]0.86[/C][C]2556.20987387465[/C][C]220.690005868733[/C][/ROW]
[ROW][C]0.87[/C][C]2620.24497711304[/C][C]238.846285831144[/C][/ROW]
[ROW][C]0.88[/C][C]2689.88787002599[/C][C]251.518808160313[/C][/ROW]
[ROW][C]0.89[/C][C]2763.8751605952[/C][C]256.773375958122[/C][/ROW]
[ROW][C]0.9[/C][C]2840.74672231967[/C][C]253.94970832972[/C][/ROW]
[ROW][C]0.91[/C][C]2919.21676654246[/C][C]244.204372392479[/C][/ROW]
[ROW][C]0.92[/C][C]2998.59857668583[/C][C]230.40202486758[/C][/ROW]
[ROW][C]0.93[/C][C]3079.17378331724[/C][C]216.239699296987[/C][/ROW]
[ROW][C]0.94[/C][C]3162.39346835627[/C][C]205.102957198882[/C][/ROW]
[ROW][C]0.95[/C][C]3250.74881535182[/C][C]199.295592778041[/C][/ROW]
[ROW][C]0.96[/C][C]3346.97243751945[/C][C]198.803258405287[/C][/ROW]
[ROW][C]0.97[/C][C]3451.95206290481[/C][C]198.060700202941[/C][/ROW]
[ROW][C]0.98[/C][C]3560.70078402031[/C][C]186.223347328958[/C][/ROW]
[ROW][C]0.99[/C][C]3657.32282321557[/C][C]161.691342584931[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=281417&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=281417&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
0.011333.884753431349.7199397924827
0.021362.2603933117852.3075976255513
0.031393.3312269846254.8693968248278
0.041422.9757593893856.1164524711
0.051450.1758253759756.9629011044829
0.061475.2549899752558.5392761472819
0.071498.8750010023761.2394583018877
0.081521.6285874531764.6242406106704
0.091543.8862917697467.8074103790082
0.11565.7683744748370.0156742764437
0.111587.1984058514570.9181839541004
0.121607.9941476143370.596211349188
0.131627.9496708943969.299607828724
0.141646.8823613982767.2255350617162
0.151664.6453589774564.436162293375
0.161681.1226418122860.91565008807
0.171696.224720553856.6870527450689
0.181709.8933642465351.8903153196494
0.191722.1131835228946.7810792232971
0.21732.9224331516341.6951715963043
0.211742.4160874940336.9621921128012
0.221750.7385689899232.8498194207734
0.231758.0681515589129.5256101656219
0.241764.5978114190327.0343748586351
0.251770.5175981960925.3332951323242
0.261776.0020967430124.3188759550317
0.271781.2043425090823.8838929399903
0.281786.2555852110123.94119315441
0.291791.2690782096124.4440056674337
0.31796.3456825749725.3820558037057
0.311801.5793137335526.7651204712891
0.321807.060827580828.6191095341872
0.331812.8795868383930.9526120457902
0.341819.1225172230733.764736588551
0.351825.8709083515737.0176565435351
0.361833.1955472466940.6350910157561
0.371841.1510137096444.5076982183611
0.381849.7701151956248.4901798038833
0.391859.059465943652.4103230793136
0.41868.9970856075856.0987993989767
0.411879.532593679359.383971366845
0.421890.5901401174362.1388665139736
0.431902.0737214381464.2697553458331
0.441913.8740973131865.7289131545951
0.451925.8762544091666.5141047895629
0.461937.966331443966.6684685134718
0.471950.0371285787666.2530090262219
0.481961.9917154101565.3453726354787
0.491973.7451177608464.0113681925118
0.51985.2244830533862.3189708054609
0.511996.3683977144360.3182634330272
0.522007.126105489258.0583887985044
0.532017.4572561970455.5783095553571
0.542027.3325507728952.9344368854168
0.552036.7353175921150.1888566106009
0.562045.6637379664947.4285362384615
0.572054.1332016876144.7517319254264
0.582062.1781584719442.2763525192092
0.592069.8528532926140.1202028845137
0.62077.2304835542738.3991082055655
0.612084.4005640286337.2104897249684
0.622091.4645858872736.6228072026983
0.632098.5303548617236.651221633568
0.642105.7056381827537.2646892626361
0.652113.0919028580938.3971575630195
0.662120.7789769446539.9383876166194
0.672128.8414268064141.7738606303176
0.682137.3373511508143.7905898182898
0.692146.3101782240945.8906271548111
0.72155.7939208827248.0108794697903
0.712165.8221616613850.1348943973779
0.722176.4407450081952.3169975022418
0.732187.7236945644154.6835077750173
0.742199.7912593487757.4655578071057
0.752212.8283367629560.9813524655255
0.762227.1010355223865.624585224462
0.772242.9690649558271.8097626629827
0.782260.8920761598779.9235258062452
0.792281.4288300010190.2658750210004
0.82305.22851418825103.024886047729
0.812333.01282638038118.265849964288
0.822365.54507309047135.925718720197
0.832403.57924790713155.768419176638
0.842447.78058595793177.269140589439
0.852498.6138151454199.4416110942
0.862556.20987387465220.690005868733
0.872620.24497711304238.846285831144
0.882689.88787002599251.518808160313
0.892763.8751605952256.773375958122
0.92840.74672231967253.94970832972
0.912919.21676654246244.204372392479
0.922998.59857668583230.40202486758
0.933079.17378331724216.239699296987
0.943162.39346835627205.102957198882
0.953250.74881535182199.295592778041
0.963346.97243751945198.803258405287
0.973451.95206290481198.060700202941
0.983560.70078402031186.223347328958
0.993657.32282321557161.691342584931


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')