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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, 28 Jul 2015 17:46:49 +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/Jul/28/t1438102212dam76myb658yxyp.htm/, Retrieved Thu, 16 May 2024 09:38:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=279711, Retrieved Thu, 16 May 2024 09:38:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact169

Tree of Dependent Computations

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-       [Harrell-Davis Quantiles] [] [2015-07-28 16:46:49] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
228768.00
227916.00
227052.00
225264.00
242952.00
242016.00
228768.00
219960.00
220812.00
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226116.00
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242952.00
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228768.00
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226116.00
229704.00
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233208.00
228768.00
229704.00
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242952.00
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245604.00
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243816.00
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163452.00
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194316.00
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172260.00
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121056.00

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279711&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279711&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279711&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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0180336.84933350213604.1241642677
0.0291960.69694415018962.00430874609
0.0399701.79805615047800.37873537801
0.04105518.175042059108.683283195
0.05110931.6009996249983.53228695433
0.06116023.5579032559404.82863486711
0.07120428.083364457965.76467938104
0.08123993.3296728636589.53311692803
0.09126866.7028449355802.28488691662
0.1129332.8824988945704.1773764876
0.11131668.232478726176.76373468664
0.12134074.8510046387011.22783404699
0.13136663.8952109627965.08598206953
0.14139459.7573382258809.51099199234
0.15142417.2044239929378.94939521391
0.16145449.3777206059605.79466548312
0.17148460.3449825039522.95698370895
0.18151372.904675099236.14689475031
0.19154144.5507978678880.11219470905
0.2156769.848028068574.87801353629
0.21159272.3835769798398.80755696932
0.22161691.8160795258378.46596305632
0.23164071.1992598138499.01796343583
0.24166447.8099285968722.66745567929
0.25168848.4477108719006.02946865924
0.26171288.4763052039310.38373210928
0.27173773.0778286129605.02349586798
0.28176299.2155492119866.17232375252
0.29178857.34568406410072.6689978562
0.3181432.62335615310205.2678582303
0.31184005.90342009710246.4373723632
0.32186555.06207797510184.2934410239
0.33189057.03032306610017.0796467755
0.34191490.5419016119756.70483652295
0.35193839.1499059599429.50477355775
0.36196093.7626307799072.99197459092
0.37198253.92828138728.65984150763
0.38200327.3747784218433.01781471396
0.39202327.7784244498208.08953689423
0.4204271.2202503258055.62942930846
0.41206172.1312817557958.21330534095
0.42208039.6400707447883.67694577848
0.43209875.1155691097790.52432052793
0.44211671.4035339457640.11614966921
0.45213413.8670135977402.05266005207
0.46215082.9453717287060.78363665885
0.47216657.6230069266618.39023572428
0.48218119.0220691936092.86084015921
0.49219453.3525008645514.23249407729
0.5220653.6681584764916.98182201107
0.51221720.227269084335.20291853266
0.52222659.6277506373795.07669038375
0.53223483.1639691663314.03084292167
0.54224204.9532709822899.64345028944
0.55224840.3010547022553.81653914712
0.56225404.5722288422272.78297318327
0.57225912.608147512053.73988459995
0.58226378.5549414151892.74182124187
0.59226815.8933560671788.10323335384
0.6227237.4754100891737.55808546522
0.61227655.441891631737.38995903748
0.62228080.9757912771782.47981837737
0.63228523.9166274031865.52278587996
0.64228992.3164712541977.08701424832
0.65229492.064203142106.13623977342
0.66230026.7318862462241.75504805774
0.67230597.7799560162374.07817047538
0.68231205.1688090472498.04562751055
0.69231848.2656015112612.47821382231
0.7232526.7592957162721.45383326831
0.71233241.1944381252830.83728995114
0.72233992.7845058772944.49875897004
0.73234782.3829782223059.82682237387
0.74235608.8021245393165.6305040887
0.75236466.9514854193244.07559596095
0.76237346.412298183273.08971374834
0.77238231.0296953533232.55126260242
0.78239099.9120879323108.56352743142
0.79239929.9143487392899.04515824804
0.8240699.2777836352615.53943605424
0.81241391.6625232932283.97733325977
0.82241999.4812265781940.08104987794
0.83242525.4448379161622.23725095631
0.84242981.7100277961362.42217146991
0.85243386.8633774251178.77632832946
0.86243761.7812348251070.29036718297
0.87244125.7068208071021.82053858015
0.88244493.5837061741011.23405575767
0.89244875.2070092911017.67148426567
0.9245276.6559686531026.662703502
0.91245704.6774732411036.74376566888
0.92246174.605962731067.82034802162
0.93246722.9904590471162.6485852663
0.94247430.3101053641390.40663104774
0.95248459.2450293941889.71321897768
0.96250072.2261317342826.96878474416
0.97252508.7409427423924.01741072986
0.98255705.3305542474148.39352558562
0.99259143.0034680613378.01912166052

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 80336.849333502 & 13604.1241642677 \tabularnewline
0.02 & 91960.6969441501 & 8962.00430874609 \tabularnewline
0.03 & 99701.7980561504 & 7800.37873537801 \tabularnewline
0.04 & 105518.17504205 & 9108.683283195 \tabularnewline
0.05 & 110931.600999624 & 9983.53228695433 \tabularnewline
0.06 & 116023.557903255 & 9404.82863486711 \tabularnewline
0.07 & 120428.08336445 & 7965.76467938104 \tabularnewline
0.08 & 123993.329672863 & 6589.53311692803 \tabularnewline
0.09 & 126866.702844935 & 5802.28488691662 \tabularnewline
0.1 & 129332.882498894 & 5704.1773764876 \tabularnewline
0.11 & 131668.23247872 & 6176.76373468664 \tabularnewline
0.12 & 134074.851004638 & 7011.22783404699 \tabularnewline
0.13 & 136663.895210962 & 7965.08598206953 \tabularnewline
0.14 & 139459.757338225 & 8809.51099199234 \tabularnewline
0.15 & 142417.204423992 & 9378.94939521391 \tabularnewline
0.16 & 145449.377720605 & 9605.79466548312 \tabularnewline
0.17 & 148460.344982503 & 9522.95698370895 \tabularnewline
0.18 & 151372.90467509 & 9236.14689475031 \tabularnewline
0.19 & 154144.550797867 & 8880.11219470905 \tabularnewline
0.2 & 156769.84802806 & 8574.87801353629 \tabularnewline
0.21 & 159272.383576979 & 8398.80755696932 \tabularnewline
0.22 & 161691.816079525 & 8378.46596305632 \tabularnewline
0.23 & 164071.199259813 & 8499.01796343583 \tabularnewline
0.24 & 166447.809928596 & 8722.66745567929 \tabularnewline
0.25 & 168848.447710871 & 9006.02946865924 \tabularnewline
0.26 & 171288.476305203 & 9310.38373210928 \tabularnewline
0.27 & 173773.077828612 & 9605.02349586798 \tabularnewline
0.28 & 176299.215549211 & 9866.17232375252 \tabularnewline
0.29 & 178857.345684064 & 10072.6689978562 \tabularnewline
0.3 & 181432.623356153 & 10205.2678582303 \tabularnewline
0.31 & 184005.903420097 & 10246.4373723632 \tabularnewline
0.32 & 186555.062077975 & 10184.2934410239 \tabularnewline
0.33 & 189057.030323066 & 10017.0796467755 \tabularnewline
0.34 & 191490.541901611 & 9756.70483652295 \tabularnewline
0.35 & 193839.149905959 & 9429.50477355775 \tabularnewline
0.36 & 196093.762630779 & 9072.99197459092 \tabularnewline
0.37 & 198253.9282813 & 8728.65984150763 \tabularnewline
0.38 & 200327.374778421 & 8433.01781471396 \tabularnewline
0.39 & 202327.778424449 & 8208.08953689423 \tabularnewline
0.4 & 204271.220250325 & 8055.62942930846 \tabularnewline
0.41 & 206172.131281755 & 7958.21330534095 \tabularnewline
0.42 & 208039.640070744 & 7883.67694577848 \tabularnewline
0.43 & 209875.115569109 & 7790.52432052793 \tabularnewline
0.44 & 211671.403533945 & 7640.11614966921 \tabularnewline
0.45 & 213413.867013597 & 7402.05266005207 \tabularnewline
0.46 & 215082.945371728 & 7060.78363665885 \tabularnewline
0.47 & 216657.623006926 & 6618.39023572428 \tabularnewline
0.48 & 218119.022069193 & 6092.86084015921 \tabularnewline
0.49 & 219453.352500864 & 5514.23249407729 \tabularnewline
0.5 & 220653.668158476 & 4916.98182201107 \tabularnewline
0.51 & 221720.22726908 & 4335.20291853266 \tabularnewline
0.52 & 222659.627750637 & 3795.07669038375 \tabularnewline
0.53 & 223483.163969166 & 3314.03084292167 \tabularnewline
0.54 & 224204.953270982 & 2899.64345028944 \tabularnewline
0.55 & 224840.301054702 & 2553.81653914712 \tabularnewline
0.56 & 225404.572228842 & 2272.78297318327 \tabularnewline
0.57 & 225912.60814751 & 2053.73988459995 \tabularnewline
0.58 & 226378.554941415 & 1892.74182124187 \tabularnewline
0.59 & 226815.893356067 & 1788.10323335384 \tabularnewline
0.6 & 227237.475410089 & 1737.55808546522 \tabularnewline
0.61 & 227655.44189163 & 1737.38995903748 \tabularnewline
0.62 & 228080.975791277 & 1782.47981837737 \tabularnewline
0.63 & 228523.916627403 & 1865.52278587996 \tabularnewline
0.64 & 228992.316471254 & 1977.08701424832 \tabularnewline
0.65 & 229492.06420314 & 2106.13623977342 \tabularnewline
0.66 & 230026.731886246 & 2241.75504805774 \tabularnewline
0.67 & 230597.779956016 & 2374.07817047538 \tabularnewline
0.68 & 231205.168809047 & 2498.04562751055 \tabularnewline
0.69 & 231848.265601511 & 2612.47821382231 \tabularnewline
0.7 & 232526.759295716 & 2721.45383326831 \tabularnewline
0.71 & 233241.194438125 & 2830.83728995114 \tabularnewline
0.72 & 233992.784505877 & 2944.49875897004 \tabularnewline
0.73 & 234782.382978222 & 3059.82682237387 \tabularnewline
0.74 & 235608.802124539 & 3165.6305040887 \tabularnewline
0.75 & 236466.951485419 & 3244.07559596095 \tabularnewline
0.76 & 237346.41229818 & 3273.08971374834 \tabularnewline
0.77 & 238231.029695353 & 3232.55126260242 \tabularnewline
0.78 & 239099.912087932 & 3108.56352743142 \tabularnewline
0.79 & 239929.914348739 & 2899.04515824804 \tabularnewline
0.8 & 240699.277783635 & 2615.53943605424 \tabularnewline
0.81 & 241391.662523293 & 2283.97733325977 \tabularnewline
0.82 & 241999.481226578 & 1940.08104987794 \tabularnewline
0.83 & 242525.444837916 & 1622.23725095631 \tabularnewline
0.84 & 242981.710027796 & 1362.42217146991 \tabularnewline
0.85 & 243386.863377425 & 1178.77632832946 \tabularnewline
0.86 & 243761.781234825 & 1070.29036718297 \tabularnewline
0.87 & 244125.706820807 & 1021.82053858015 \tabularnewline
0.88 & 244493.583706174 & 1011.23405575767 \tabularnewline
0.89 & 244875.207009291 & 1017.67148426567 \tabularnewline
0.9 & 245276.655968653 & 1026.662703502 \tabularnewline
0.91 & 245704.677473241 & 1036.74376566888 \tabularnewline
0.92 & 246174.60596273 & 1067.82034802162 \tabularnewline
0.93 & 246722.990459047 & 1162.6485852663 \tabularnewline
0.94 & 247430.310105364 & 1390.40663104774 \tabularnewline
0.95 & 248459.245029394 & 1889.71321897768 \tabularnewline
0.96 & 250072.226131734 & 2826.96878474416 \tabularnewline
0.97 & 252508.740942742 & 3924.01741072986 \tabularnewline
0.98 & 255705.330554247 & 4148.39352558562 \tabularnewline
0.99 & 259143.003468061 & 3378.01912166052 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=279711&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]80336.849333502[/C][C]13604.1241642677[/C][/ROW]
[ROW][C]0.02[/C][C]91960.6969441501[/C][C]8962.00430874609[/C][/ROW]
[ROW][C]0.03[/C][C]99701.7980561504[/C][C]7800.37873537801[/C][/ROW]
[ROW][C]0.04[/C][C]105518.17504205[/C][C]9108.683283195[/C][/ROW]
[ROW][C]0.05[/C][C]110931.600999624[/C][C]9983.53228695433[/C][/ROW]
[ROW][C]0.06[/C][C]116023.557903255[/C][C]9404.82863486711[/C][/ROW]
[ROW][C]0.07[/C][C]120428.08336445[/C][C]7965.76467938104[/C][/ROW]
[ROW][C]0.08[/C][C]123993.329672863[/C][C]6589.53311692803[/C][/ROW]
[ROW][C]0.09[/C][C]126866.702844935[/C][C]5802.28488691662[/C][/ROW]
[ROW][C]0.1[/C][C]129332.882498894[/C][C]5704.1773764876[/C][/ROW]
[ROW][C]0.11[/C][C]131668.23247872[/C][C]6176.76373468664[/C][/ROW]
[ROW][C]0.12[/C][C]134074.851004638[/C][C]7011.22783404699[/C][/ROW]
[ROW][C]0.13[/C][C]136663.895210962[/C][C]7965.08598206953[/C][/ROW]
[ROW][C]0.14[/C][C]139459.757338225[/C][C]8809.51099199234[/C][/ROW]
[ROW][C]0.15[/C][C]142417.204423992[/C][C]9378.94939521391[/C][/ROW]
[ROW][C]0.16[/C][C]145449.377720605[/C][C]9605.79466548312[/C][/ROW]
[ROW][C]0.17[/C][C]148460.344982503[/C][C]9522.95698370895[/C][/ROW]
[ROW][C]0.18[/C][C]151372.90467509[/C][C]9236.14689475031[/C][/ROW]
[ROW][C]0.19[/C][C]154144.550797867[/C][C]8880.11219470905[/C][/ROW]
[ROW][C]0.2[/C][C]156769.84802806[/C][C]8574.87801353629[/C][/ROW]
[ROW][C]0.21[/C][C]159272.383576979[/C][C]8398.80755696932[/C][/ROW]
[ROW][C]0.22[/C][C]161691.816079525[/C][C]8378.46596305632[/C][/ROW]
[ROW][C]0.23[/C][C]164071.199259813[/C][C]8499.01796343583[/C][/ROW]
[ROW][C]0.24[/C][C]166447.809928596[/C][C]8722.66745567929[/C][/ROW]
[ROW][C]0.25[/C][C]168848.447710871[/C][C]9006.02946865924[/C][/ROW]
[ROW][C]0.26[/C][C]171288.476305203[/C][C]9310.38373210928[/C][/ROW]
[ROW][C]0.27[/C][C]173773.077828612[/C][C]9605.02349586798[/C][/ROW]
[ROW][C]0.28[/C][C]176299.215549211[/C][C]9866.17232375252[/C][/ROW]
[ROW][C]0.29[/C][C]178857.345684064[/C][C]10072.6689978562[/C][/ROW]
[ROW][C]0.3[/C][C]181432.623356153[/C][C]10205.2678582303[/C][/ROW]
[ROW][C]0.31[/C][C]184005.903420097[/C][C]10246.4373723632[/C][/ROW]
[ROW][C]0.32[/C][C]186555.062077975[/C][C]10184.2934410239[/C][/ROW]
[ROW][C]0.33[/C][C]189057.030323066[/C][C]10017.0796467755[/C][/ROW]
[ROW][C]0.34[/C][C]191490.541901611[/C][C]9756.70483652295[/C][/ROW]
[ROW][C]0.35[/C][C]193839.149905959[/C][C]9429.50477355775[/C][/ROW]
[ROW][C]0.36[/C][C]196093.762630779[/C][C]9072.99197459092[/C][/ROW]
[ROW][C]0.37[/C][C]198253.9282813[/C][C]8728.65984150763[/C][/ROW]
[ROW][C]0.38[/C][C]200327.374778421[/C][C]8433.01781471396[/C][/ROW]
[ROW][C]0.39[/C][C]202327.778424449[/C][C]8208.08953689423[/C][/ROW]
[ROW][C]0.4[/C][C]204271.220250325[/C][C]8055.62942930846[/C][/ROW]
[ROW][C]0.41[/C][C]206172.131281755[/C][C]7958.21330534095[/C][/ROW]
[ROW][C]0.42[/C][C]208039.640070744[/C][C]7883.67694577848[/C][/ROW]
[ROW][C]0.43[/C][C]209875.115569109[/C][C]7790.52432052793[/C][/ROW]
[ROW][C]0.44[/C][C]211671.403533945[/C][C]7640.11614966921[/C][/ROW]
[ROW][C]0.45[/C][C]213413.867013597[/C][C]7402.05266005207[/C][/ROW]
[ROW][C]0.46[/C][C]215082.945371728[/C][C]7060.78363665885[/C][/ROW]
[ROW][C]0.47[/C][C]216657.623006926[/C][C]6618.39023572428[/C][/ROW]
[ROW][C]0.48[/C][C]218119.022069193[/C][C]6092.86084015921[/C][/ROW]
[ROW][C]0.49[/C][C]219453.352500864[/C][C]5514.23249407729[/C][/ROW]
[ROW][C]0.5[/C][C]220653.668158476[/C][C]4916.98182201107[/C][/ROW]
[ROW][C]0.51[/C][C]221720.22726908[/C][C]4335.20291853266[/C][/ROW]
[ROW][C]0.52[/C][C]222659.627750637[/C][C]3795.07669038375[/C][/ROW]
[ROW][C]0.53[/C][C]223483.163969166[/C][C]3314.03084292167[/C][/ROW]
[ROW][C]0.54[/C][C]224204.953270982[/C][C]2899.64345028944[/C][/ROW]
[ROW][C]0.55[/C][C]224840.301054702[/C][C]2553.81653914712[/C][/ROW]
[ROW][C]0.56[/C][C]225404.572228842[/C][C]2272.78297318327[/C][/ROW]
[ROW][C]0.57[/C][C]225912.60814751[/C][C]2053.73988459995[/C][/ROW]
[ROW][C]0.58[/C][C]226378.554941415[/C][C]1892.74182124187[/C][/ROW]
[ROW][C]0.59[/C][C]226815.893356067[/C][C]1788.10323335384[/C][/ROW]
[ROW][C]0.6[/C][C]227237.475410089[/C][C]1737.55808546522[/C][/ROW]
[ROW][C]0.61[/C][C]227655.44189163[/C][C]1737.38995903748[/C][/ROW]
[ROW][C]0.62[/C][C]228080.975791277[/C][C]1782.47981837737[/C][/ROW]
[ROW][C]0.63[/C][C]228523.916627403[/C][C]1865.52278587996[/C][/ROW]
[ROW][C]0.64[/C][C]228992.316471254[/C][C]1977.08701424832[/C][/ROW]
[ROW][C]0.65[/C][C]229492.06420314[/C][C]2106.13623977342[/C][/ROW]
[ROW][C]0.66[/C][C]230026.731886246[/C][C]2241.75504805774[/C][/ROW]
[ROW][C]0.67[/C][C]230597.779956016[/C][C]2374.07817047538[/C][/ROW]
[ROW][C]0.68[/C][C]231205.168809047[/C][C]2498.04562751055[/C][/ROW]
[ROW][C]0.69[/C][C]231848.265601511[/C][C]2612.47821382231[/C][/ROW]
[ROW][C]0.7[/C][C]232526.759295716[/C][C]2721.45383326831[/C][/ROW]
[ROW][C]0.71[/C][C]233241.194438125[/C][C]2830.83728995114[/C][/ROW]
[ROW][C]0.72[/C][C]233992.784505877[/C][C]2944.49875897004[/C][/ROW]
[ROW][C]0.73[/C][C]234782.382978222[/C][C]3059.82682237387[/C][/ROW]
[ROW][C]0.74[/C][C]235608.802124539[/C][C]3165.6305040887[/C][/ROW]
[ROW][C]0.75[/C][C]236466.951485419[/C][C]3244.07559596095[/C][/ROW]
[ROW][C]0.76[/C][C]237346.41229818[/C][C]3273.08971374834[/C][/ROW]
[ROW][C]0.77[/C][C]238231.029695353[/C][C]3232.55126260242[/C][/ROW]
[ROW][C]0.78[/C][C]239099.912087932[/C][C]3108.56352743142[/C][/ROW]
[ROW][C]0.79[/C][C]239929.914348739[/C][C]2899.04515824804[/C][/ROW]
[ROW][C]0.8[/C][C]240699.277783635[/C][C]2615.53943605424[/C][/ROW]
[ROW][C]0.81[/C][C]241391.662523293[/C][C]2283.97733325977[/C][/ROW]
[ROW][C]0.82[/C][C]241999.481226578[/C][C]1940.08104987794[/C][/ROW]
[ROW][C]0.83[/C][C]242525.444837916[/C][C]1622.23725095631[/C][/ROW]
[ROW][C]0.84[/C][C]242981.710027796[/C][C]1362.42217146991[/C][/ROW]
[ROW][C]0.85[/C][C]243386.863377425[/C][C]1178.77632832946[/C][/ROW]
[ROW][C]0.86[/C][C]243761.781234825[/C][C]1070.29036718297[/C][/ROW]
[ROW][C]0.87[/C][C]244125.706820807[/C][C]1021.82053858015[/C][/ROW]
[ROW][C]0.88[/C][C]244493.583706174[/C][C]1011.23405575767[/C][/ROW]
[ROW][C]0.89[/C][C]244875.207009291[/C][C]1017.67148426567[/C][/ROW]
[ROW][C]0.9[/C][C]245276.655968653[/C][C]1026.662703502[/C][/ROW]
[ROW][C]0.91[/C][C]245704.677473241[/C][C]1036.74376566888[/C][/ROW]
[ROW][C]0.92[/C][C]246174.60596273[/C][C]1067.82034802162[/C][/ROW]
[ROW][C]0.93[/C][C]246722.990459047[/C][C]1162.6485852663[/C][/ROW]
[ROW][C]0.94[/C][C]247430.310105364[/C][C]1390.40663104774[/C][/ROW]
[ROW][C]0.95[/C][C]248459.245029394[/C][C]1889.71321897768[/C][/ROW]
[ROW][C]0.96[/C][C]250072.226131734[/C][C]2826.96878474416[/C][/ROW]
[ROW][C]0.97[/C][C]252508.740942742[/C][C]3924.01741072986[/C][/ROW]
[ROW][C]0.98[/C][C]255705.330554247[/C][C]4148.39352558562[/C][/ROW]
[ROW][C]0.99[/C][C]259143.003468061[/C][C]3378.01912166052[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=279711&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=279711&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
0.0180336.84933350213604.1241642677
0.0291960.69694415018962.00430874609
0.0399701.79805615047800.37873537801
0.04105518.175042059108.683283195
0.05110931.6009996249983.53228695433
0.06116023.5579032559404.82863486711
0.07120428.083364457965.76467938104
0.08123993.3296728636589.53311692803
0.09126866.7028449355802.28488691662
0.1129332.8824988945704.1773764876
0.11131668.232478726176.76373468664
0.12134074.8510046387011.22783404699
0.13136663.8952109627965.08598206953
0.14139459.7573382258809.51099199234
0.15142417.2044239929378.94939521391
0.16145449.3777206059605.79466548312
0.17148460.3449825039522.95698370895
0.18151372.904675099236.14689475031
0.19154144.5507978678880.11219470905
0.2156769.848028068574.87801353629
0.21159272.3835769798398.80755696932
0.22161691.8160795258378.46596305632
0.23164071.1992598138499.01796343583
0.24166447.8099285968722.66745567929
0.25168848.4477108719006.02946865924
0.26171288.4763052039310.38373210928
0.27173773.0778286129605.02349586798
0.28176299.2155492119866.17232375252
0.29178857.34568406410072.6689978562
0.3181432.62335615310205.2678582303
0.31184005.90342009710246.4373723632
0.32186555.06207797510184.2934410239
0.33189057.03032306610017.0796467755
0.34191490.5419016119756.70483652295
0.35193839.1499059599429.50477355775
0.36196093.7626307799072.99197459092
0.37198253.92828138728.65984150763
0.38200327.3747784218433.01781471396
0.39202327.7784244498208.08953689423
0.4204271.2202503258055.62942930846
0.41206172.1312817557958.21330534095
0.42208039.6400707447883.67694577848
0.43209875.1155691097790.52432052793
0.44211671.4035339457640.11614966921
0.45213413.8670135977402.05266005207
0.46215082.9453717287060.78363665885
0.47216657.6230069266618.39023572428
0.48218119.0220691936092.86084015921
0.49219453.3525008645514.23249407729
0.5220653.6681584764916.98182201107
0.51221720.227269084335.20291853266
0.52222659.6277506373795.07669038375
0.53223483.1639691663314.03084292167
0.54224204.9532709822899.64345028944
0.55224840.3010547022553.81653914712
0.56225404.5722288422272.78297318327
0.57225912.608147512053.73988459995
0.58226378.5549414151892.74182124187
0.59226815.8933560671788.10323335384
0.6227237.4754100891737.55808546522
0.61227655.441891631737.38995903748
0.62228080.9757912771782.47981837737
0.63228523.9166274031865.52278587996
0.64228992.3164712541977.08701424832
0.65229492.064203142106.13623977342
0.66230026.7318862462241.75504805774
0.67230597.7799560162374.07817047538
0.68231205.1688090472498.04562751055
0.69231848.2656015112612.47821382231
0.7232526.7592957162721.45383326831
0.71233241.1944381252830.83728995114
0.72233992.7845058772944.49875897004
0.73234782.3829782223059.82682237387
0.74235608.8021245393165.6305040887
0.75236466.9514854193244.07559596095
0.76237346.412298183273.08971374834
0.77238231.0296953533232.55126260242
0.78239099.9120879323108.56352743142
0.79239929.9143487392899.04515824804
0.8240699.2777836352615.53943605424
0.81241391.6625232932283.97733325977
0.82241999.4812265781940.08104987794
0.83242525.4448379161622.23725095631
0.84242981.7100277961362.42217146991
0.85243386.8633774251178.77632832946
0.86243761.7812348251070.29036718297
0.87244125.7068208071021.82053858015
0.88244493.5837061741011.23405575767
0.89244875.2070092911017.67148426567
0.9245276.6559686531026.662703502
0.91245704.6774732411036.74376566888
0.92246174.605962731067.82034802162
0.93246722.9904590471162.6485852663
0.94247430.3101053641390.40663104774
0.95248459.2450293941889.71321897768
0.96250072.2261317342826.96878474416
0.97252508.7409427423924.01741072986
0.98255705.3305542474148.39352558562
0.99259143.0034680613378.01912166052


Figures (Output of Computation)

Input Parameters & R Code

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