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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 computationMon, 23 Nov 2015 15:19:00 +0000
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/Nov/23/t1448291960zxq4gkot911b81h.htm/, Retrieved Tue, 14 May 2024 19:05:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=283931, Retrieved Tue, 14 May 2024 19:05:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact101

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 17:15:19] [553dab97a9d8b6d0026004b85d73532b]
- R P     [Harrell-Davis Quantiles] [] [2015-11-23 15:19:00] [a9d02bc5e77e4ed95e8bc9cdb21bd9af] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
31025
31068
31619
32020
30467
31960
31389
28863
33143
33350
29079
26505
24975
24644
26626
23977
23898
25583
25974
23529
27491
28053
27913
26706
26788
27600
32770
29623
29300
32152
30700
29463
32709
32823
34073
33551
32168
32833
37341
33747
34482
33309
33057
32809
35316
33989
35799
34508
34646
35203
38084
35005
36734
35716
34543
34340
35094
38730
37805
33815
36486
34960
38054
35283
37361
35536
36103
33886
35416
38053
37181
34787
36074
34966
37482
36109
35520
36123
36256
32456
37748
38461
36344
35865

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=283931&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=283931&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283931&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
0.0123677.9170907206338.846746743014
0.0223922.3394444693414.536482594134
0.0324216.4133037678569.753419592749
0.0424545.2759954309707.213137118185
0.0524896.0041306065790.33555432452
0.0625250.1979947914821.40574415007
0.0725591.0882239132814.240127775971
0.0825908.6215196206785.99813526007
0.0926200.1172935108755.543478483754
0.126468.7495073433739.436078548884
0.1126721.2556831536746.970038685604
0.1226965.5052908774777.720902686257
0.1327208.4661706319824.519300388763
0.1427454.984730328878.238329819666
0.1527707.4713094415931.148436132809
0.1627966.2673969079978.371910643325
0.1728230.33544113431017.41675142463
0.1828497.9552814491047.83759555048
0.1928767.24121128731070.23068970656
0.229036.42299316141085.6219122624
0.2129303.92208371871094.58680591915
0.2229568.29784091097.08638805835
0.2329828.14818669591092.39099291301
0.2430082.0351449131079.57761037207
0.2530328.47618288911058.02719579099
0.2630566.0071353331027.87010658715
0.2730793.2929393382990.075060882696
0.2831009.2473533145946.332724781702
0.2931213.1248549649898.553052421527
0.331404.5626824515848.86003136543
0.3131583.5702193063798.992160939294
0.3231750.4786916957750.341709662591
0.3331905.8719161459704.031779754155
0.3432050.5181767678660.655856823246
0.3532185.3167041267620.834904088119
0.3632311.2632361953585.050070393821
0.3732429.4309672588553.743680443802
0.3832540.9579692215527.408408105659
0.3932647.0308286103506.506579397101
0.432748.8566065614491.395257011021
0.4132847.6202131298481.961886637895
0.4232944.4301874694477.853632857968
0.4333040.2608101328478.160066340165
0.4433135.9009250515481.770985013847
0.4533231.919135041487.274818439259
0.4633328.6515166399493.41410290882
0.4733426.2129185412499.116905304305
0.4833524.5279113424503.482465472573
0.4933623.3740102748505.896699959659
0.533722.4287018938506.225646887132
0.5133821.3130202219504.207491335532
0.5233919.6271639324500.023038056139
0.5334016.9767990697493.570447133109
0.5434112.9912209781485.231483909636
0.5534207.3358603741475.122275578539
0.5634299.7216768603463.430187383271
0.5734389.9131997752450.513892628035
0.5834477.7359411608436.716831376784
0.5934563.0831026269422.387542557315
0.634645.9211281978407.921279276261
0.6134726.293629306393.682541305169
0.6234804.3232771863380.123931923887
0.6334880.2111938517367.611412784929
0.6434954.2330975976356.521945172208
0.6535026.7310732253347.114407452851
0.6635098.0995628313339.687941656074
0.6735168.7642686326334.376882328389
0.6835239.1533589815331.023751927854
0.6935309.6618499733329.5760400592
0.735380.6123740082329.429870431814
0.7135452.2186128138329.973204844067
0.7235524.5609640814330.503570811576
0.7335597.5865129305330.234366033379
0.7435671.1455851319328.510262095973
0.7535745.0733857716325.256604357995
0.7635819.3162549002320.913246952167
0.7735894.087976247316.676621514959
0.7835970.0244843272314.644414748962
0.7936048.2897637001317.471989279251
0.836130.5783148026327.746747728922
0.8136218.9676208498347.018642092906
0.8236315.6031948062374.949416059249
0.8336422.2491230428408.754992408148
0.8436539.7988437177443.544820982966
0.8536667.8921143137473.2291527956
0.8636804.7935821693491.92125053608
0.8736947.6288425573495.662120204062
0.8837092.9434612335483.66959412907
0.8937237.3921401532458.52676449405
0.937378.2675409022424.929943961672
0.9137513.6443380108387.500339696148
0.9237642.1998878777348.41574112553
0.9337763.2039814968307.554021022999
0.9437877.448233012265.647624765272
0.9537989.4630645078230.138859733138
0.9638109.7321818341218.39283428373
0.9738253.0116942076240.85348962505
0.9838426.9654842226271.471112025885
0.9938608.7485270675275.178947520726

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 23677.9170907206 & 338.846746743014 \tabularnewline
0.02 & 23922.3394444693 & 414.536482594134 \tabularnewline
0.03 & 24216.4133037678 & 569.753419592749 \tabularnewline
0.04 & 24545.2759954309 & 707.213137118185 \tabularnewline
0.05 & 24896.0041306065 & 790.33555432452 \tabularnewline
0.06 & 25250.1979947914 & 821.40574415007 \tabularnewline
0.07 & 25591.0882239132 & 814.240127775971 \tabularnewline
0.08 & 25908.6215196206 & 785.99813526007 \tabularnewline
0.09 & 26200.1172935108 & 755.543478483754 \tabularnewline
0.1 & 26468.7495073433 & 739.436078548884 \tabularnewline
0.11 & 26721.2556831536 & 746.970038685604 \tabularnewline
0.12 & 26965.5052908774 & 777.720902686257 \tabularnewline
0.13 & 27208.4661706319 & 824.519300388763 \tabularnewline
0.14 & 27454.984730328 & 878.238329819666 \tabularnewline
0.15 & 27707.4713094415 & 931.148436132809 \tabularnewline
0.16 & 27966.2673969079 & 978.371910643325 \tabularnewline
0.17 & 28230.3354411343 & 1017.41675142463 \tabularnewline
0.18 & 28497.955281449 & 1047.83759555048 \tabularnewline
0.19 & 28767.2412112873 & 1070.23068970656 \tabularnewline
0.2 & 29036.4229931614 & 1085.6219122624 \tabularnewline
0.21 & 29303.9220837187 & 1094.58680591915 \tabularnewline
0.22 & 29568.2978409 & 1097.08638805835 \tabularnewline
0.23 & 29828.1481866959 & 1092.39099291301 \tabularnewline
0.24 & 30082.035144913 & 1079.57761037207 \tabularnewline
0.25 & 30328.4761828891 & 1058.02719579099 \tabularnewline
0.26 & 30566.007135333 & 1027.87010658715 \tabularnewline
0.27 & 30793.2929393382 & 990.075060882696 \tabularnewline
0.28 & 31009.2473533145 & 946.332724781702 \tabularnewline
0.29 & 31213.1248549649 & 898.553052421527 \tabularnewline
0.3 & 31404.5626824515 & 848.86003136543 \tabularnewline
0.31 & 31583.5702193063 & 798.992160939294 \tabularnewline
0.32 & 31750.4786916957 & 750.341709662591 \tabularnewline
0.33 & 31905.8719161459 & 704.031779754155 \tabularnewline
0.34 & 32050.5181767678 & 660.655856823246 \tabularnewline
0.35 & 32185.3167041267 & 620.834904088119 \tabularnewline
0.36 & 32311.2632361953 & 585.050070393821 \tabularnewline
0.37 & 32429.4309672588 & 553.743680443802 \tabularnewline
0.38 & 32540.9579692215 & 527.408408105659 \tabularnewline
0.39 & 32647.0308286103 & 506.506579397101 \tabularnewline
0.4 & 32748.8566065614 & 491.395257011021 \tabularnewline
0.41 & 32847.6202131298 & 481.961886637895 \tabularnewline
0.42 & 32944.4301874694 & 477.853632857968 \tabularnewline
0.43 & 33040.2608101328 & 478.160066340165 \tabularnewline
0.44 & 33135.9009250515 & 481.770985013847 \tabularnewline
0.45 & 33231.919135041 & 487.274818439259 \tabularnewline
0.46 & 33328.6515166399 & 493.41410290882 \tabularnewline
0.47 & 33426.2129185412 & 499.116905304305 \tabularnewline
0.48 & 33524.5279113424 & 503.482465472573 \tabularnewline
0.49 & 33623.3740102748 & 505.896699959659 \tabularnewline
0.5 & 33722.4287018938 & 506.225646887132 \tabularnewline
0.51 & 33821.3130202219 & 504.207491335532 \tabularnewline
0.52 & 33919.6271639324 & 500.023038056139 \tabularnewline
0.53 & 34016.9767990697 & 493.570447133109 \tabularnewline
0.54 & 34112.9912209781 & 485.231483909636 \tabularnewline
0.55 & 34207.3358603741 & 475.122275578539 \tabularnewline
0.56 & 34299.7216768603 & 463.430187383271 \tabularnewline
0.57 & 34389.9131997752 & 450.513892628035 \tabularnewline
0.58 & 34477.7359411608 & 436.716831376784 \tabularnewline
0.59 & 34563.0831026269 & 422.387542557315 \tabularnewline
0.6 & 34645.9211281978 & 407.921279276261 \tabularnewline
0.61 & 34726.293629306 & 393.682541305169 \tabularnewline
0.62 & 34804.3232771863 & 380.123931923887 \tabularnewline
0.63 & 34880.2111938517 & 367.611412784929 \tabularnewline
0.64 & 34954.2330975976 & 356.521945172208 \tabularnewline
0.65 & 35026.7310732253 & 347.114407452851 \tabularnewline
0.66 & 35098.0995628313 & 339.687941656074 \tabularnewline
0.67 & 35168.7642686326 & 334.376882328389 \tabularnewline
0.68 & 35239.1533589815 & 331.023751927854 \tabularnewline
0.69 & 35309.6618499733 & 329.5760400592 \tabularnewline
0.7 & 35380.6123740082 & 329.429870431814 \tabularnewline
0.71 & 35452.2186128138 & 329.973204844067 \tabularnewline
0.72 & 35524.5609640814 & 330.503570811576 \tabularnewline
0.73 & 35597.5865129305 & 330.234366033379 \tabularnewline
0.74 & 35671.1455851319 & 328.510262095973 \tabularnewline
0.75 & 35745.0733857716 & 325.256604357995 \tabularnewline
0.76 & 35819.3162549002 & 320.913246952167 \tabularnewline
0.77 & 35894.087976247 & 316.676621514959 \tabularnewline
0.78 & 35970.0244843272 & 314.644414748962 \tabularnewline
0.79 & 36048.2897637001 & 317.471989279251 \tabularnewline
0.8 & 36130.5783148026 & 327.746747728922 \tabularnewline
0.81 & 36218.9676208498 & 347.018642092906 \tabularnewline
0.82 & 36315.6031948062 & 374.949416059249 \tabularnewline
0.83 & 36422.2491230428 & 408.754992408148 \tabularnewline
0.84 & 36539.7988437177 & 443.544820982966 \tabularnewline
0.85 & 36667.8921143137 & 473.2291527956 \tabularnewline
0.86 & 36804.7935821693 & 491.92125053608 \tabularnewline
0.87 & 36947.6288425573 & 495.662120204062 \tabularnewline
0.88 & 37092.9434612335 & 483.66959412907 \tabularnewline
0.89 & 37237.3921401532 & 458.52676449405 \tabularnewline
0.9 & 37378.2675409022 & 424.929943961672 \tabularnewline
0.91 & 37513.6443380108 & 387.500339696148 \tabularnewline
0.92 & 37642.1998878777 & 348.41574112553 \tabularnewline
0.93 & 37763.2039814968 & 307.554021022999 \tabularnewline
0.94 & 37877.448233012 & 265.647624765272 \tabularnewline
0.95 & 37989.4630645078 & 230.138859733138 \tabularnewline
0.96 & 38109.7321818341 & 218.39283428373 \tabularnewline
0.97 & 38253.0116942076 & 240.85348962505 \tabularnewline
0.98 & 38426.9654842226 & 271.471112025885 \tabularnewline
0.99 & 38608.7485270675 & 275.178947520726 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=283931&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]23677.9170907206[/C][C]338.846746743014[/C][/ROW]
[ROW][C]0.02[/C][C]23922.3394444693[/C][C]414.536482594134[/C][/ROW]
[ROW][C]0.03[/C][C]24216.4133037678[/C][C]569.753419592749[/C][/ROW]
[ROW][C]0.04[/C][C]24545.2759954309[/C][C]707.213137118185[/C][/ROW]
[ROW][C]0.05[/C][C]24896.0041306065[/C][C]790.33555432452[/C][/ROW]
[ROW][C]0.06[/C][C]25250.1979947914[/C][C]821.40574415007[/C][/ROW]
[ROW][C]0.07[/C][C]25591.0882239132[/C][C]814.240127775971[/C][/ROW]
[ROW][C]0.08[/C][C]25908.6215196206[/C][C]785.99813526007[/C][/ROW]
[ROW][C]0.09[/C][C]26200.1172935108[/C][C]755.543478483754[/C][/ROW]
[ROW][C]0.1[/C][C]26468.7495073433[/C][C]739.436078548884[/C][/ROW]
[ROW][C]0.11[/C][C]26721.2556831536[/C][C]746.970038685604[/C][/ROW]
[ROW][C]0.12[/C][C]26965.5052908774[/C][C]777.720902686257[/C][/ROW]
[ROW][C]0.13[/C][C]27208.4661706319[/C][C]824.519300388763[/C][/ROW]
[ROW][C]0.14[/C][C]27454.984730328[/C][C]878.238329819666[/C][/ROW]
[ROW][C]0.15[/C][C]27707.4713094415[/C][C]931.148436132809[/C][/ROW]
[ROW][C]0.16[/C][C]27966.2673969079[/C][C]978.371910643325[/C][/ROW]
[ROW][C]0.17[/C][C]28230.3354411343[/C][C]1017.41675142463[/C][/ROW]
[ROW][C]0.18[/C][C]28497.955281449[/C][C]1047.83759555048[/C][/ROW]
[ROW][C]0.19[/C][C]28767.2412112873[/C][C]1070.23068970656[/C][/ROW]
[ROW][C]0.2[/C][C]29036.4229931614[/C][C]1085.6219122624[/C][/ROW]
[ROW][C]0.21[/C][C]29303.9220837187[/C][C]1094.58680591915[/C][/ROW]
[ROW][C]0.22[/C][C]29568.2978409[/C][C]1097.08638805835[/C][/ROW]
[ROW][C]0.23[/C][C]29828.1481866959[/C][C]1092.39099291301[/C][/ROW]
[ROW][C]0.24[/C][C]30082.035144913[/C][C]1079.57761037207[/C][/ROW]
[ROW][C]0.25[/C][C]30328.4761828891[/C][C]1058.02719579099[/C][/ROW]
[ROW][C]0.26[/C][C]30566.007135333[/C][C]1027.87010658715[/C][/ROW]
[ROW][C]0.27[/C][C]30793.2929393382[/C][C]990.075060882696[/C][/ROW]
[ROW][C]0.28[/C][C]31009.2473533145[/C][C]946.332724781702[/C][/ROW]
[ROW][C]0.29[/C][C]31213.1248549649[/C][C]898.553052421527[/C][/ROW]
[ROW][C]0.3[/C][C]31404.5626824515[/C][C]848.86003136543[/C][/ROW]
[ROW][C]0.31[/C][C]31583.5702193063[/C][C]798.992160939294[/C][/ROW]
[ROW][C]0.32[/C][C]31750.4786916957[/C][C]750.341709662591[/C][/ROW]
[ROW][C]0.33[/C][C]31905.8719161459[/C][C]704.031779754155[/C][/ROW]
[ROW][C]0.34[/C][C]32050.5181767678[/C][C]660.655856823246[/C][/ROW]
[ROW][C]0.35[/C][C]32185.3167041267[/C][C]620.834904088119[/C][/ROW]
[ROW][C]0.36[/C][C]32311.2632361953[/C][C]585.050070393821[/C][/ROW]
[ROW][C]0.37[/C][C]32429.4309672588[/C][C]553.743680443802[/C][/ROW]
[ROW][C]0.38[/C][C]32540.9579692215[/C][C]527.408408105659[/C][/ROW]
[ROW][C]0.39[/C][C]32647.0308286103[/C][C]506.506579397101[/C][/ROW]
[ROW][C]0.4[/C][C]32748.8566065614[/C][C]491.395257011021[/C][/ROW]
[ROW][C]0.41[/C][C]32847.6202131298[/C][C]481.961886637895[/C][/ROW]
[ROW][C]0.42[/C][C]32944.4301874694[/C][C]477.853632857968[/C][/ROW]
[ROW][C]0.43[/C][C]33040.2608101328[/C][C]478.160066340165[/C][/ROW]
[ROW][C]0.44[/C][C]33135.9009250515[/C][C]481.770985013847[/C][/ROW]
[ROW][C]0.45[/C][C]33231.919135041[/C][C]487.274818439259[/C][/ROW]
[ROW][C]0.46[/C][C]33328.6515166399[/C][C]493.41410290882[/C][/ROW]
[ROW][C]0.47[/C][C]33426.2129185412[/C][C]499.116905304305[/C][/ROW]
[ROW][C]0.48[/C][C]33524.5279113424[/C][C]503.482465472573[/C][/ROW]
[ROW][C]0.49[/C][C]33623.3740102748[/C][C]505.896699959659[/C][/ROW]
[ROW][C]0.5[/C][C]33722.4287018938[/C][C]506.225646887132[/C][/ROW]
[ROW][C]0.51[/C][C]33821.3130202219[/C][C]504.207491335532[/C][/ROW]
[ROW][C]0.52[/C][C]33919.6271639324[/C][C]500.023038056139[/C][/ROW]
[ROW][C]0.53[/C][C]34016.9767990697[/C][C]493.570447133109[/C][/ROW]
[ROW][C]0.54[/C][C]34112.9912209781[/C][C]485.231483909636[/C][/ROW]
[ROW][C]0.55[/C][C]34207.3358603741[/C][C]475.122275578539[/C][/ROW]
[ROW][C]0.56[/C][C]34299.7216768603[/C][C]463.430187383271[/C][/ROW]
[ROW][C]0.57[/C][C]34389.9131997752[/C][C]450.513892628035[/C][/ROW]
[ROW][C]0.58[/C][C]34477.7359411608[/C][C]436.716831376784[/C][/ROW]
[ROW][C]0.59[/C][C]34563.0831026269[/C][C]422.387542557315[/C][/ROW]
[ROW][C]0.6[/C][C]34645.9211281978[/C][C]407.921279276261[/C][/ROW]
[ROW][C]0.61[/C][C]34726.293629306[/C][C]393.682541305169[/C][/ROW]
[ROW][C]0.62[/C][C]34804.3232771863[/C][C]380.123931923887[/C][/ROW]
[ROW][C]0.63[/C][C]34880.2111938517[/C][C]367.611412784929[/C][/ROW]
[ROW][C]0.64[/C][C]34954.2330975976[/C][C]356.521945172208[/C][/ROW]
[ROW][C]0.65[/C][C]35026.7310732253[/C][C]347.114407452851[/C][/ROW]
[ROW][C]0.66[/C][C]35098.0995628313[/C][C]339.687941656074[/C][/ROW]
[ROW][C]0.67[/C][C]35168.7642686326[/C][C]334.376882328389[/C][/ROW]
[ROW][C]0.68[/C][C]35239.1533589815[/C][C]331.023751927854[/C][/ROW]
[ROW][C]0.69[/C][C]35309.6618499733[/C][C]329.5760400592[/C][/ROW]
[ROW][C]0.7[/C][C]35380.6123740082[/C][C]329.429870431814[/C][/ROW]
[ROW][C]0.71[/C][C]35452.2186128138[/C][C]329.973204844067[/C][/ROW]
[ROW][C]0.72[/C][C]35524.5609640814[/C][C]330.503570811576[/C][/ROW]
[ROW][C]0.73[/C][C]35597.5865129305[/C][C]330.234366033379[/C][/ROW]
[ROW][C]0.74[/C][C]35671.1455851319[/C][C]328.510262095973[/C][/ROW]
[ROW][C]0.75[/C][C]35745.0733857716[/C][C]325.256604357995[/C][/ROW]
[ROW][C]0.76[/C][C]35819.3162549002[/C][C]320.913246952167[/C][/ROW]
[ROW][C]0.77[/C][C]35894.087976247[/C][C]316.676621514959[/C][/ROW]
[ROW][C]0.78[/C][C]35970.0244843272[/C][C]314.644414748962[/C][/ROW]
[ROW][C]0.79[/C][C]36048.2897637001[/C][C]317.471989279251[/C][/ROW]
[ROW][C]0.8[/C][C]36130.5783148026[/C][C]327.746747728922[/C][/ROW]
[ROW][C]0.81[/C][C]36218.9676208498[/C][C]347.018642092906[/C][/ROW]
[ROW][C]0.82[/C][C]36315.6031948062[/C][C]374.949416059249[/C][/ROW]
[ROW][C]0.83[/C][C]36422.2491230428[/C][C]408.754992408148[/C][/ROW]
[ROW][C]0.84[/C][C]36539.7988437177[/C][C]443.544820982966[/C][/ROW]
[ROW][C]0.85[/C][C]36667.8921143137[/C][C]473.2291527956[/C][/ROW]
[ROW][C]0.86[/C][C]36804.7935821693[/C][C]491.92125053608[/C][/ROW]
[ROW][C]0.87[/C][C]36947.6288425573[/C][C]495.662120204062[/C][/ROW]
[ROW][C]0.88[/C][C]37092.9434612335[/C][C]483.66959412907[/C][/ROW]
[ROW][C]0.89[/C][C]37237.3921401532[/C][C]458.52676449405[/C][/ROW]
[ROW][C]0.9[/C][C]37378.2675409022[/C][C]424.929943961672[/C][/ROW]
[ROW][C]0.91[/C][C]37513.6443380108[/C][C]387.500339696148[/C][/ROW]
[ROW][C]0.92[/C][C]37642.1998878777[/C][C]348.41574112553[/C][/ROW]
[ROW][C]0.93[/C][C]37763.2039814968[/C][C]307.554021022999[/C][/ROW]
[ROW][C]0.94[/C][C]37877.448233012[/C][C]265.647624765272[/C][/ROW]
[ROW][C]0.95[/C][C]37989.4630645078[/C][C]230.138859733138[/C][/ROW]
[ROW][C]0.96[/C][C]38109.7321818341[/C][C]218.39283428373[/C][/ROW]
[ROW][C]0.97[/C][C]38253.0116942076[/C][C]240.85348962505[/C][/ROW]
[ROW][C]0.98[/C][C]38426.9654842226[/C][C]271.471112025885[/C][/ROW]
[ROW][C]0.99[/C][C]38608.7485270675[/C][C]275.178947520726[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=283931&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=283931&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
0.0123677.9170907206338.846746743014
0.0223922.3394444693414.536482594134
0.0324216.4133037678569.753419592749
0.0424545.2759954309707.213137118185
0.0524896.0041306065790.33555432452
0.0625250.1979947914821.40574415007
0.0725591.0882239132814.240127775971
0.0825908.6215196206785.99813526007
0.0926200.1172935108755.543478483754
0.126468.7495073433739.436078548884
0.1126721.2556831536746.970038685604
0.1226965.5052908774777.720902686257
0.1327208.4661706319824.519300388763
0.1427454.984730328878.238329819666
0.1527707.4713094415931.148436132809
0.1627966.2673969079978.371910643325
0.1728230.33544113431017.41675142463
0.1828497.9552814491047.83759555048
0.1928767.24121128731070.23068970656
0.229036.42299316141085.6219122624
0.2129303.92208371871094.58680591915
0.2229568.29784091097.08638805835
0.2329828.14818669591092.39099291301
0.2430082.0351449131079.57761037207
0.2530328.47618288911058.02719579099
0.2630566.0071353331027.87010658715
0.2730793.2929393382990.075060882696
0.2831009.2473533145946.332724781702
0.2931213.1248549649898.553052421527
0.331404.5626824515848.86003136543
0.3131583.5702193063798.992160939294
0.3231750.4786916957750.341709662591
0.3331905.8719161459704.031779754155
0.3432050.5181767678660.655856823246
0.3532185.3167041267620.834904088119
0.3632311.2632361953585.050070393821
0.3732429.4309672588553.743680443802
0.3832540.9579692215527.408408105659
0.3932647.0308286103506.506579397101
0.432748.8566065614491.395257011021
0.4132847.6202131298481.961886637895
0.4232944.4301874694477.853632857968
0.4333040.2608101328478.160066340165
0.4433135.9009250515481.770985013847
0.4533231.919135041487.274818439259
0.4633328.6515166399493.41410290882
0.4733426.2129185412499.116905304305
0.4833524.5279113424503.482465472573
0.4933623.3740102748505.896699959659
0.533722.4287018938506.225646887132
0.5133821.3130202219504.207491335532
0.5233919.6271639324500.023038056139
0.5334016.9767990697493.570447133109
0.5434112.9912209781485.231483909636
0.5534207.3358603741475.122275578539
0.5634299.7216768603463.430187383271
0.5734389.9131997752450.513892628035
0.5834477.7359411608436.716831376784
0.5934563.0831026269422.387542557315
0.634645.9211281978407.921279276261
0.6134726.293629306393.682541305169
0.6234804.3232771863380.123931923887
0.6334880.2111938517367.611412784929
0.6434954.2330975976356.521945172208
0.6535026.7310732253347.114407452851
0.6635098.0995628313339.687941656074
0.6735168.7642686326334.376882328389
0.6835239.1533589815331.023751927854
0.6935309.6618499733329.5760400592
0.735380.6123740082329.429870431814
0.7135452.2186128138329.973204844067
0.7235524.5609640814330.503570811576
0.7335597.5865129305330.234366033379
0.7435671.1455851319328.510262095973
0.7535745.0733857716325.256604357995
0.7635819.3162549002320.913246952167
0.7735894.087976247316.676621514959
0.7835970.0244843272314.644414748962
0.7936048.2897637001317.471989279251
0.836130.5783148026327.746747728922
0.8136218.9676208498347.018642092906
0.8236315.6031948062374.949416059249
0.8336422.2491230428408.754992408148
0.8436539.7988437177443.544820982966
0.8536667.8921143137473.2291527956
0.8636804.7935821693491.92125053608
0.8736947.6288425573495.662120204062
0.8837092.9434612335483.66959412907
0.8937237.3921401532458.52676449405
0.937378.2675409022424.929943961672
0.9137513.6443380108387.500339696148
0.9237642.1998878777348.41574112553
0.9337763.2039814968307.554021022999
0.9437877.448233012265.647624765272
0.9537989.4630645078230.138859733138
0.9638109.7321818341218.39283428373
0.9738253.0116942076240.85348962505
0.9838426.9654842226271.471112025885
0.9938608.7485270675275.178947520726


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')