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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 computationSat, 04 Oct 2014 09:30:06 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/04/t1412411419rntogvi8hb4v0ax.htm/, Retrieved Sun, 12 May 2024 23:00:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238505, Retrieved Sun, 12 May 2024 23:00:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact132

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2014-10-04 08:30:06] [5cac5f97919544233533b60e31cabb24] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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8656721,00
7729873,00
7067002,00
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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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238505&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238505&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238505&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015689616.46811294136208.484267371
0.025753648.4001222100175.955381143
0.035814656.725262890128.2497708151
0.045870825.95506056114351.939893251
0.055929790.20314121161884.394494784
0.065998866.47543942220011.594784533
0.076081160.30517891276330.419409254
0.086175332.62240073319122.878835599
0.096276784.74400127340245.441517876
0.16379344.47949119337361.324394805
0.116476986.32098909313942.098452921
0.126565164.37304963277365.820498669
0.136641474.92190769236169.41638014
0.146705625.53177895197706.625466403
0.156758914.95067226166811.857931969
0.166803519.12985946145441.495932289
0.176841835.41978624133099.553735505
0.186876024.64541678127722.166389291
0.196907778.66603286126883.761365417
0.26938268.97273471128510.933777757
0.216968206.24743861131113.744731675
0.226997947.74300685133738.55779682
0.237027610.19353063135835.563891835
0.247057166.86791913137142.562067886
0.257086521.92313978137611.757115509
0.267115562.74129497137351.903539271
0.277144193.57979297136577.445525984
0.287172354.1616427135531.352681359
0.297200026.51903454134464.404882829
0.37227233.19782856133589.510233371
0.317254029.85322702133038.051604877
0.327280495.07984117132895.868138342
0.337306719.85307714133157.823017181
0.347332798.2396865133833.329199986
0.357358820.2450408134884.542789458
0.367384867.01677227136257.709698468
0.377411008.24827829137878.671968821
0.387437301.51461516139697.397199718
0.397463793.30905542141640.172865634
0.47490521.57459557143681.928200039
0.417517519.42704219145785.618726681
0.427544819.52377416147978.571049948
0.437572458.21990466150288.782045254
0.447600478.40560403152798.710857846
0.457628929.87170187155581.813975933
0.467657866.2924703158664.305207629
0.477687338.45057543162043.271310817
0.487717384.07993942165635.500863959
0.497748015.52209641169248.741769223
0.57779207.10374705172616.744115698
0.517810884.57957357175425.222780045
0.527842919.02217936177308.049106913
0.537875127.129141177934.922650226
0.547907279.08824655177041.646602659
0.557939114.00862098174472.233656594
0.567970361.6617634170219.258368726
0.578000768.0895733164431.859973383
0.588030121.73309314157420.507005748
0.598058276.29123259149616.359171191
0.68085166.65116613141555.633287471
0.618110814.98357238133784.277778659
0.628135325.42083832126823.904108244
0.638158867.49580566121052.279831172
0.648181650.48230052116696.181912514
0.658203892.63903052113730.180034053
0.668225790.7620605111911.061344608
0.678247496.0505322110848.416192313
0.688269101.81358939110064.452360691
0.698290646.87395857109160.367999292
0.78312135.75519123107887.482179624
0.718333573.23259014106239.446918227
0.728355007.18873486104477.54069742
0.738376570.7321695103163.121246503
0.748398513.05385673103051.812369052
0.758421209.21449008104922.212115118
0.768445142.30802172109396.094222462
0.778470856.95454337116672.18265532
0.788498889.79893315126415.01348617
0.798529688.89058673137827.085532219
0.88563537.4595172149759.105490974
0.818600497.13368231160960.754444889
0.828640380.94823666170253.740757571
0.838682759.55604215176689.193471768
0.848726998.63864506179644.919081958
0.858772325.57303082178820.200847393
0.868817930.30652419174221.301881866
0.878863115.37070938166261.906815055
0.888907513.41939006155931.903089316
0.898951374.56298938145158.504292919
0.98995879.51418586137165.646944216
0.919043360.50153104136389.38934672
0.929097244.59392671146953.910739952
0.939161569.58738727169457.074044424
0.949240220.20045223198763.160477978
0.959336640.81707822225254.548204236
0.969455059.77167042241360.634679736
0.979602198.32887405256211.071342677
0.989782370.41682348306147.338245252
0.999976066.86383624409383.034882506

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5689616.46811294 & 136208.484267371 \tabularnewline
0.02 & 5753648.4001222 & 100175.955381143 \tabularnewline
0.03 & 5814656.7252628 & 90128.2497708151 \tabularnewline
0.04 & 5870825.95506056 & 114351.939893251 \tabularnewline
0.05 & 5929790.20314121 & 161884.394494784 \tabularnewline
0.06 & 5998866.47543942 & 220011.594784533 \tabularnewline
0.07 & 6081160.30517891 & 276330.419409254 \tabularnewline
0.08 & 6175332.62240073 & 319122.878835599 \tabularnewline
0.09 & 6276784.74400127 & 340245.441517876 \tabularnewline
0.1 & 6379344.47949119 & 337361.324394805 \tabularnewline
0.11 & 6476986.32098909 & 313942.098452921 \tabularnewline
0.12 & 6565164.37304963 & 277365.820498669 \tabularnewline
0.13 & 6641474.92190769 & 236169.41638014 \tabularnewline
0.14 & 6705625.53177895 & 197706.625466403 \tabularnewline
0.15 & 6758914.95067226 & 166811.857931969 \tabularnewline
0.16 & 6803519.12985946 & 145441.495932289 \tabularnewline
0.17 & 6841835.41978624 & 133099.553735505 \tabularnewline
0.18 & 6876024.64541678 & 127722.166389291 \tabularnewline
0.19 & 6907778.66603286 & 126883.761365417 \tabularnewline
0.2 & 6938268.97273471 & 128510.933777757 \tabularnewline
0.21 & 6968206.24743861 & 131113.744731675 \tabularnewline
0.22 & 6997947.74300685 & 133738.55779682 \tabularnewline
0.23 & 7027610.19353063 & 135835.563891835 \tabularnewline
0.24 & 7057166.86791913 & 137142.562067886 \tabularnewline
0.25 & 7086521.92313978 & 137611.757115509 \tabularnewline
0.26 & 7115562.74129497 & 137351.903539271 \tabularnewline
0.27 & 7144193.57979297 & 136577.445525984 \tabularnewline
0.28 & 7172354.1616427 & 135531.352681359 \tabularnewline
0.29 & 7200026.51903454 & 134464.404882829 \tabularnewline
0.3 & 7227233.19782856 & 133589.510233371 \tabularnewline
0.31 & 7254029.85322702 & 133038.051604877 \tabularnewline
0.32 & 7280495.07984117 & 132895.868138342 \tabularnewline
0.33 & 7306719.85307714 & 133157.823017181 \tabularnewline
0.34 & 7332798.2396865 & 133833.329199986 \tabularnewline
0.35 & 7358820.2450408 & 134884.542789458 \tabularnewline
0.36 & 7384867.01677227 & 136257.709698468 \tabularnewline
0.37 & 7411008.24827829 & 137878.671968821 \tabularnewline
0.38 & 7437301.51461516 & 139697.397199718 \tabularnewline
0.39 & 7463793.30905542 & 141640.172865634 \tabularnewline
0.4 & 7490521.57459557 & 143681.928200039 \tabularnewline
0.41 & 7517519.42704219 & 145785.618726681 \tabularnewline
0.42 & 7544819.52377416 & 147978.571049948 \tabularnewline
0.43 & 7572458.21990466 & 150288.782045254 \tabularnewline
0.44 & 7600478.40560403 & 152798.710857846 \tabularnewline
0.45 & 7628929.87170187 & 155581.813975933 \tabularnewline
0.46 & 7657866.2924703 & 158664.305207629 \tabularnewline
0.47 & 7687338.45057543 & 162043.271310817 \tabularnewline
0.48 & 7717384.07993942 & 165635.500863959 \tabularnewline
0.49 & 7748015.52209641 & 169248.741769223 \tabularnewline
0.5 & 7779207.10374705 & 172616.744115698 \tabularnewline
0.51 & 7810884.57957357 & 175425.222780045 \tabularnewline
0.52 & 7842919.02217936 & 177308.049106913 \tabularnewline
0.53 & 7875127.129141 & 177934.922650226 \tabularnewline
0.54 & 7907279.08824655 & 177041.646602659 \tabularnewline
0.55 & 7939114.00862098 & 174472.233656594 \tabularnewline
0.56 & 7970361.6617634 & 170219.258368726 \tabularnewline
0.57 & 8000768.0895733 & 164431.859973383 \tabularnewline
0.58 & 8030121.73309314 & 157420.507005748 \tabularnewline
0.59 & 8058276.29123259 & 149616.359171191 \tabularnewline
0.6 & 8085166.65116613 & 141555.633287471 \tabularnewline
0.61 & 8110814.98357238 & 133784.277778659 \tabularnewline
0.62 & 8135325.42083832 & 126823.904108244 \tabularnewline
0.63 & 8158867.49580566 & 121052.279831172 \tabularnewline
0.64 & 8181650.48230052 & 116696.181912514 \tabularnewline
0.65 & 8203892.63903052 & 113730.180034053 \tabularnewline
0.66 & 8225790.7620605 & 111911.061344608 \tabularnewline
0.67 & 8247496.0505322 & 110848.416192313 \tabularnewline
0.68 & 8269101.81358939 & 110064.452360691 \tabularnewline
0.69 & 8290646.87395857 & 109160.367999292 \tabularnewline
0.7 & 8312135.75519123 & 107887.482179624 \tabularnewline
0.71 & 8333573.23259014 & 106239.446918227 \tabularnewline
0.72 & 8355007.18873486 & 104477.54069742 \tabularnewline
0.73 & 8376570.7321695 & 103163.121246503 \tabularnewline
0.74 & 8398513.05385673 & 103051.812369052 \tabularnewline
0.75 & 8421209.21449008 & 104922.212115118 \tabularnewline
0.76 & 8445142.30802172 & 109396.094222462 \tabularnewline
0.77 & 8470856.95454337 & 116672.18265532 \tabularnewline
0.78 & 8498889.79893315 & 126415.01348617 \tabularnewline
0.79 & 8529688.89058673 & 137827.085532219 \tabularnewline
0.8 & 8563537.4595172 & 149759.105490974 \tabularnewline
0.81 & 8600497.13368231 & 160960.754444889 \tabularnewline
0.82 & 8640380.94823666 & 170253.740757571 \tabularnewline
0.83 & 8682759.55604215 & 176689.193471768 \tabularnewline
0.84 & 8726998.63864506 & 179644.919081958 \tabularnewline
0.85 & 8772325.57303082 & 178820.200847393 \tabularnewline
0.86 & 8817930.30652419 & 174221.301881866 \tabularnewline
0.87 & 8863115.37070938 & 166261.906815055 \tabularnewline
0.88 & 8907513.41939006 & 155931.903089316 \tabularnewline
0.89 & 8951374.56298938 & 145158.504292919 \tabularnewline
0.9 & 8995879.51418586 & 137165.646944216 \tabularnewline
0.91 & 9043360.50153104 & 136389.38934672 \tabularnewline
0.92 & 9097244.59392671 & 146953.910739952 \tabularnewline
0.93 & 9161569.58738727 & 169457.074044424 \tabularnewline
0.94 & 9240220.20045223 & 198763.160477978 \tabularnewline
0.95 & 9336640.81707822 & 225254.548204236 \tabularnewline
0.96 & 9455059.77167042 & 241360.634679736 \tabularnewline
0.97 & 9602198.32887405 & 256211.071342677 \tabularnewline
0.98 & 9782370.41682348 & 306147.338245252 \tabularnewline
0.99 & 9976066.86383624 & 409383.034882506 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238505&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]5689616.46811294[/C][C]136208.484267371[/C][/ROW]
[ROW][C]0.02[/C][C]5753648.4001222[/C][C]100175.955381143[/C][/ROW]
[ROW][C]0.03[/C][C]5814656.7252628[/C][C]90128.2497708151[/C][/ROW]
[ROW][C]0.04[/C][C]5870825.95506056[/C][C]114351.939893251[/C][/ROW]
[ROW][C]0.05[/C][C]5929790.20314121[/C][C]161884.394494784[/C][/ROW]
[ROW][C]0.06[/C][C]5998866.47543942[/C][C]220011.594784533[/C][/ROW]
[ROW][C]0.07[/C][C]6081160.30517891[/C][C]276330.419409254[/C][/ROW]
[ROW][C]0.08[/C][C]6175332.62240073[/C][C]319122.878835599[/C][/ROW]
[ROW][C]0.09[/C][C]6276784.74400127[/C][C]340245.441517876[/C][/ROW]
[ROW][C]0.1[/C][C]6379344.47949119[/C][C]337361.324394805[/C][/ROW]
[ROW][C]0.11[/C][C]6476986.32098909[/C][C]313942.098452921[/C][/ROW]
[ROW][C]0.12[/C][C]6565164.37304963[/C][C]277365.820498669[/C][/ROW]
[ROW][C]0.13[/C][C]6641474.92190769[/C][C]236169.41638014[/C][/ROW]
[ROW][C]0.14[/C][C]6705625.53177895[/C][C]197706.625466403[/C][/ROW]
[ROW][C]0.15[/C][C]6758914.95067226[/C][C]166811.857931969[/C][/ROW]
[ROW][C]0.16[/C][C]6803519.12985946[/C][C]145441.495932289[/C][/ROW]
[ROW][C]0.17[/C][C]6841835.41978624[/C][C]133099.553735505[/C][/ROW]
[ROW][C]0.18[/C][C]6876024.64541678[/C][C]127722.166389291[/C][/ROW]
[ROW][C]0.19[/C][C]6907778.66603286[/C][C]126883.761365417[/C][/ROW]
[ROW][C]0.2[/C][C]6938268.97273471[/C][C]128510.933777757[/C][/ROW]
[ROW][C]0.21[/C][C]6968206.24743861[/C][C]131113.744731675[/C][/ROW]
[ROW][C]0.22[/C][C]6997947.74300685[/C][C]133738.55779682[/C][/ROW]
[ROW][C]0.23[/C][C]7027610.19353063[/C][C]135835.563891835[/C][/ROW]
[ROW][C]0.24[/C][C]7057166.86791913[/C][C]137142.562067886[/C][/ROW]
[ROW][C]0.25[/C][C]7086521.92313978[/C][C]137611.757115509[/C][/ROW]
[ROW][C]0.26[/C][C]7115562.74129497[/C][C]137351.903539271[/C][/ROW]
[ROW][C]0.27[/C][C]7144193.57979297[/C][C]136577.445525984[/C][/ROW]
[ROW][C]0.28[/C][C]7172354.1616427[/C][C]135531.352681359[/C][/ROW]
[ROW][C]0.29[/C][C]7200026.51903454[/C][C]134464.404882829[/C][/ROW]
[ROW][C]0.3[/C][C]7227233.19782856[/C][C]133589.510233371[/C][/ROW]
[ROW][C]0.31[/C][C]7254029.85322702[/C][C]133038.051604877[/C][/ROW]
[ROW][C]0.32[/C][C]7280495.07984117[/C][C]132895.868138342[/C][/ROW]
[ROW][C]0.33[/C][C]7306719.85307714[/C][C]133157.823017181[/C][/ROW]
[ROW][C]0.34[/C][C]7332798.2396865[/C][C]133833.329199986[/C][/ROW]
[ROW][C]0.35[/C][C]7358820.2450408[/C][C]134884.542789458[/C][/ROW]
[ROW][C]0.36[/C][C]7384867.01677227[/C][C]136257.709698468[/C][/ROW]
[ROW][C]0.37[/C][C]7411008.24827829[/C][C]137878.671968821[/C][/ROW]
[ROW][C]0.38[/C][C]7437301.51461516[/C][C]139697.397199718[/C][/ROW]
[ROW][C]0.39[/C][C]7463793.30905542[/C][C]141640.172865634[/C][/ROW]
[ROW][C]0.4[/C][C]7490521.57459557[/C][C]143681.928200039[/C][/ROW]
[ROW][C]0.41[/C][C]7517519.42704219[/C][C]145785.618726681[/C][/ROW]
[ROW][C]0.42[/C][C]7544819.52377416[/C][C]147978.571049948[/C][/ROW]
[ROW][C]0.43[/C][C]7572458.21990466[/C][C]150288.782045254[/C][/ROW]
[ROW][C]0.44[/C][C]7600478.40560403[/C][C]152798.710857846[/C][/ROW]
[ROW][C]0.45[/C][C]7628929.87170187[/C][C]155581.813975933[/C][/ROW]
[ROW][C]0.46[/C][C]7657866.2924703[/C][C]158664.305207629[/C][/ROW]
[ROW][C]0.47[/C][C]7687338.45057543[/C][C]162043.271310817[/C][/ROW]
[ROW][C]0.48[/C][C]7717384.07993942[/C][C]165635.500863959[/C][/ROW]
[ROW][C]0.49[/C][C]7748015.52209641[/C][C]169248.741769223[/C][/ROW]
[ROW][C]0.5[/C][C]7779207.10374705[/C][C]172616.744115698[/C][/ROW]
[ROW][C]0.51[/C][C]7810884.57957357[/C][C]175425.222780045[/C][/ROW]
[ROW][C]0.52[/C][C]7842919.02217936[/C][C]177308.049106913[/C][/ROW]
[ROW][C]0.53[/C][C]7875127.129141[/C][C]177934.922650226[/C][/ROW]
[ROW][C]0.54[/C][C]7907279.08824655[/C][C]177041.646602659[/C][/ROW]
[ROW][C]0.55[/C][C]7939114.00862098[/C][C]174472.233656594[/C][/ROW]
[ROW][C]0.56[/C][C]7970361.6617634[/C][C]170219.258368726[/C][/ROW]
[ROW][C]0.57[/C][C]8000768.0895733[/C][C]164431.859973383[/C][/ROW]
[ROW][C]0.58[/C][C]8030121.73309314[/C][C]157420.507005748[/C][/ROW]
[ROW][C]0.59[/C][C]8058276.29123259[/C][C]149616.359171191[/C][/ROW]
[ROW][C]0.6[/C][C]8085166.65116613[/C][C]141555.633287471[/C][/ROW]
[ROW][C]0.61[/C][C]8110814.98357238[/C][C]133784.277778659[/C][/ROW]
[ROW][C]0.62[/C][C]8135325.42083832[/C][C]126823.904108244[/C][/ROW]
[ROW][C]0.63[/C][C]8158867.49580566[/C][C]121052.279831172[/C][/ROW]
[ROW][C]0.64[/C][C]8181650.48230052[/C][C]116696.181912514[/C][/ROW]
[ROW][C]0.65[/C][C]8203892.63903052[/C][C]113730.180034053[/C][/ROW]
[ROW][C]0.66[/C][C]8225790.7620605[/C][C]111911.061344608[/C][/ROW]
[ROW][C]0.67[/C][C]8247496.0505322[/C][C]110848.416192313[/C][/ROW]
[ROW][C]0.68[/C][C]8269101.81358939[/C][C]110064.452360691[/C][/ROW]
[ROW][C]0.69[/C][C]8290646.87395857[/C][C]109160.367999292[/C][/ROW]
[ROW][C]0.7[/C][C]8312135.75519123[/C][C]107887.482179624[/C][/ROW]
[ROW][C]0.71[/C][C]8333573.23259014[/C][C]106239.446918227[/C][/ROW]
[ROW][C]0.72[/C][C]8355007.18873486[/C][C]104477.54069742[/C][/ROW]
[ROW][C]0.73[/C][C]8376570.7321695[/C][C]103163.121246503[/C][/ROW]
[ROW][C]0.74[/C][C]8398513.05385673[/C][C]103051.812369052[/C][/ROW]
[ROW][C]0.75[/C][C]8421209.21449008[/C][C]104922.212115118[/C][/ROW]
[ROW][C]0.76[/C][C]8445142.30802172[/C][C]109396.094222462[/C][/ROW]
[ROW][C]0.77[/C][C]8470856.95454337[/C][C]116672.18265532[/C][/ROW]
[ROW][C]0.78[/C][C]8498889.79893315[/C][C]126415.01348617[/C][/ROW]
[ROW][C]0.79[/C][C]8529688.89058673[/C][C]137827.085532219[/C][/ROW]
[ROW][C]0.8[/C][C]8563537.4595172[/C][C]149759.105490974[/C][/ROW]
[ROW][C]0.81[/C][C]8600497.13368231[/C][C]160960.754444889[/C][/ROW]
[ROW][C]0.82[/C][C]8640380.94823666[/C][C]170253.740757571[/C][/ROW]
[ROW][C]0.83[/C][C]8682759.55604215[/C][C]176689.193471768[/C][/ROW]
[ROW][C]0.84[/C][C]8726998.63864506[/C][C]179644.919081958[/C][/ROW]
[ROW][C]0.85[/C][C]8772325.57303082[/C][C]178820.200847393[/C][/ROW]
[ROW][C]0.86[/C][C]8817930.30652419[/C][C]174221.301881866[/C][/ROW]
[ROW][C]0.87[/C][C]8863115.37070938[/C][C]166261.906815055[/C][/ROW]
[ROW][C]0.88[/C][C]8907513.41939006[/C][C]155931.903089316[/C][/ROW]
[ROW][C]0.89[/C][C]8951374.56298938[/C][C]145158.504292919[/C][/ROW]
[ROW][C]0.9[/C][C]8995879.51418586[/C][C]137165.646944216[/C][/ROW]
[ROW][C]0.91[/C][C]9043360.50153104[/C][C]136389.38934672[/C][/ROW]
[ROW][C]0.92[/C][C]9097244.59392671[/C][C]146953.910739952[/C][/ROW]
[ROW][C]0.93[/C][C]9161569.58738727[/C][C]169457.074044424[/C][/ROW]
[ROW][C]0.94[/C][C]9240220.20045223[/C][C]198763.160477978[/C][/ROW]
[ROW][C]0.95[/C][C]9336640.81707822[/C][C]225254.548204236[/C][/ROW]
[ROW][C]0.96[/C][C]9455059.77167042[/C][C]241360.634679736[/C][/ROW]
[ROW][C]0.97[/C][C]9602198.32887405[/C][C]256211.071342677[/C][/ROW]
[ROW][C]0.98[/C][C]9782370.41682348[/C][C]306147.338245252[/C][/ROW]
[ROW][C]0.99[/C][C]9976066.86383624[/C][C]409383.034882506[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238505&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238505&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
0.015689616.46811294136208.484267371
0.025753648.4001222100175.955381143
0.035814656.725262890128.2497708151
0.045870825.95506056114351.939893251
0.055929790.20314121161884.394494784
0.065998866.47543942220011.594784533
0.076081160.30517891276330.419409254
0.086175332.62240073319122.878835599
0.096276784.74400127340245.441517876
0.16379344.47949119337361.324394805
0.116476986.32098909313942.098452921
0.126565164.37304963277365.820498669
0.136641474.92190769236169.41638014
0.146705625.53177895197706.625466403
0.156758914.95067226166811.857931969
0.166803519.12985946145441.495932289
0.176841835.41978624133099.553735505
0.186876024.64541678127722.166389291
0.196907778.66603286126883.761365417
0.26938268.97273471128510.933777757
0.216968206.24743861131113.744731675
0.226997947.74300685133738.55779682
0.237027610.19353063135835.563891835
0.247057166.86791913137142.562067886
0.257086521.92313978137611.757115509
0.267115562.74129497137351.903539271
0.277144193.57979297136577.445525984
0.287172354.1616427135531.352681359
0.297200026.51903454134464.404882829
0.37227233.19782856133589.510233371
0.317254029.85322702133038.051604877
0.327280495.07984117132895.868138342
0.337306719.85307714133157.823017181
0.347332798.2396865133833.329199986
0.357358820.2450408134884.542789458
0.367384867.01677227136257.709698468
0.377411008.24827829137878.671968821
0.387437301.51461516139697.397199718
0.397463793.30905542141640.172865634
0.47490521.57459557143681.928200039
0.417517519.42704219145785.618726681
0.427544819.52377416147978.571049948
0.437572458.21990466150288.782045254
0.447600478.40560403152798.710857846
0.457628929.87170187155581.813975933
0.467657866.2924703158664.305207629
0.477687338.45057543162043.271310817
0.487717384.07993942165635.500863959
0.497748015.52209641169248.741769223
0.57779207.10374705172616.744115698
0.517810884.57957357175425.222780045
0.527842919.02217936177308.049106913
0.537875127.129141177934.922650226
0.547907279.08824655177041.646602659
0.557939114.00862098174472.233656594
0.567970361.6617634170219.258368726
0.578000768.0895733164431.859973383
0.588030121.73309314157420.507005748
0.598058276.29123259149616.359171191
0.68085166.65116613141555.633287471
0.618110814.98357238133784.277778659
0.628135325.42083832126823.904108244
0.638158867.49580566121052.279831172
0.648181650.48230052116696.181912514
0.658203892.63903052113730.180034053
0.668225790.7620605111911.061344608
0.678247496.0505322110848.416192313
0.688269101.81358939110064.452360691
0.698290646.87395857109160.367999292
0.78312135.75519123107887.482179624
0.718333573.23259014106239.446918227
0.728355007.18873486104477.54069742
0.738376570.7321695103163.121246503
0.748398513.05385673103051.812369052
0.758421209.21449008104922.212115118
0.768445142.30802172109396.094222462
0.778470856.95454337116672.18265532
0.788498889.79893315126415.01348617
0.798529688.89058673137827.085532219
0.88563537.4595172149759.105490974
0.818600497.13368231160960.754444889
0.828640380.94823666170253.740757571
0.838682759.55604215176689.193471768
0.848726998.63864506179644.919081958
0.858772325.57303082178820.200847393
0.868817930.30652419174221.301881866
0.878863115.37070938166261.906815055
0.888907513.41939006155931.903089316
0.898951374.56298938145158.504292919
0.98995879.51418586137165.646944216
0.919043360.50153104136389.38934672
0.929097244.59392671146953.910739952
0.939161569.58738727169457.074044424
0.949240220.20045223198763.160477978
0.959336640.81707822225254.548204236
0.969455059.77167042241360.634679736
0.979602198.32887405256211.071342677
0.989782370.41682348306147.338245252
0.999976066.86383624409383.034882506


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):
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')