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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, 09 Aug 2010 20:26:01 +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/2010/Aug/09/t1281385697haxhqs7ld8vzv5n.htm/, Retrieved Sun, 28 Apr 2024 23:12:15 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=78548, Retrieved Sun, 28 Apr 2024 23:12:15 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Puyenbroeck Cassandra
Estimated Impact190

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] [Tijdreeks 2 - Stap 7] [2010-08-09 20:26:01] [0e5311d1fc10a1511b42f76588fb6510] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
408
407
406
404
402
401
402
404
405
405
406
408
405
400
402
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410
402
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386
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372
367
364
364
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353
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337
322
315
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326
329
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274
258
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221
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194
191
185
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185
189
179
162
148
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151
134
122
119
115
113
109

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78548&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78548&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78548&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01110.6455304487033.72971927160447
0.02113.3487657731374.54301829037777
0.03116.6988410113996.76831793158056
0.04120.7669464954159.71442939141969
0.05125.65662245486012.6008533767280
0.06131.26634782811614.8457642311815
0.07137.33548802123516.2456616553187
0.08143.57428427473716.9507494320892
0.09149.75640927964817.2383197486791
0.1155.74324885609917.2896917480517
0.11161.46217784217.1364122059726
0.12166.87660925924716.7633341676030
0.13171.97178681896816.2213766235955
0.14176.75749679069615.6622777559291
0.15181.27524846505415.2877614019343
0.16185.59782999503615.2616195919164
0.17189.81748652785615.6394255818875
0.18194.02705812976416.3566695131642
0.19198.30171418487717.2740147318319
0.2202.68743831734218.2370025871993
0.21207.19860788860119.1198587365031
0.22211.82341583847119.8460229445166
0.23216.53388475202520.3911154638784
0.24221.29695500249420.7733578996857
0.25226.0839753043721.0422546691054
0.26230.87711359602321.2639575627432
0.27235.67220355954621.5093245684108
0.28240.47817126361721.8409155005716
0.29245.31354254615622.2985683511908
0.3250.20079667819322.8873061459623
0.31255.15961043480123.5710389534712
0.32260.20029023849324.2749235678163
0.33265.31877863178124.9006179114254
0.34270.49440976489225.3469707065417
0.35275.69104568913325.5323291925311
0.36280.86146177483325.4102908327166
0.37285.95407995825824.9798254725966
0.38290.92060283361524.2850516913896
0.39295.72293472249423.4052226499515
0.4300.33801514160822.4389699516292
0.41304.75973858056621.4881113798459
0.42308.9978190895620.6384863716818
0.43313.07409540515719.9456224747055
0.44317.01722333203919.4314500773444
0.45320.85689981865819.0791580989442
0.46324.61871088639918.8451772767328
0.47328.32044673624718.6704001767989
0.48331.97036024767918.4938704672887
0.49335.56744186688318.2644535063992
0.5339.10341715025317.9475885736897
0.51342.56589849574317.5325895911188
0.52345.94197402732717.029378889985
0.53349.22150487772916.4667451424023
0.54352.39951510284715.8830416815228
0.55355.47726563031515.3201935898073
0.56358.46186372832214.8139863226036
0.57361.36452893516214.3852081301802
0.58364.19787572289414.0375900137014
0.59366.97274967901813.7532794245785
0.6369.69524204671813.4978756757204
0.61372.36448927400313.2251978759749
0.62374.97173357360912.8875226028485
0.63377.50088918859512.4458511061569
0.64379.93056236392511.8744061617112
0.65382.23716892995411.1689913497079
0.66384.39855217126410.3463867536098
0.67386.3973888359459.44125004150925
0.68388.2237183313678.49992832987999
0.69389.8761323260497.57150543471977
0.7391.3614685048666.70168768556563
0.71392.6931831629085.92268881550234
0.72393.8888479904345.25150684603584
0.73394.9673629579874.68881219841397
0.74395.9464739204374.22095823060814
0.75396.8410463651143.82653555757261
0.76397.6623235207693.48233817996594
0.77398.4181498334263.16941801905785
0.78399.1139272342872.87597889097491
0.79399.7539322269792.59886124345010
0.8400.3425762707662.34101056611818
0.81400.8852424832452.10920643818038
0.82401.3884683455781.91094658703932
0.83401.8594453498551.74954210852614
0.84402.3050340449231.62174182311578
0.85402.7306869269771.51840224856402
0.86403.1397587906421.42639786151034
0.87403.533605280391.33447661002974
0.88403.9126190525081.23754596201904
0.89404.2779999712741.13904987883248
0.9404.633728045751.05045575638009
0.91404.9880092342260.986726190922201
0.92405.3533893335930.96081837620837
0.93405.74475058350.975430324814122
0.94406.1749771138671.01612808790671
0.95406.6507875797951.04731340899839
0.96407.1770667158581.02528763225805
0.97407.7780401328220.961588485448289
0.98408.5080690267441.04385939157189
0.99409.3511613798841.48167558106444

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 110.645530448703 & 3.72971927160447 \tabularnewline
0.02 & 113.348765773137 & 4.54301829037777 \tabularnewline
0.03 & 116.698841011399 & 6.76831793158056 \tabularnewline
0.04 & 120.766946495415 & 9.71442939141969 \tabularnewline
0.05 & 125.656622454860 & 12.6008533767280 \tabularnewline
0.06 & 131.266347828116 & 14.8457642311815 \tabularnewline
0.07 & 137.335488021235 & 16.2456616553187 \tabularnewline
0.08 & 143.574284274737 & 16.9507494320892 \tabularnewline
0.09 & 149.756409279648 & 17.2383197486791 \tabularnewline
0.1 & 155.743248856099 & 17.2896917480517 \tabularnewline
0.11 & 161.462177842 & 17.1364122059726 \tabularnewline
0.12 & 166.876609259247 & 16.7633341676030 \tabularnewline
0.13 & 171.971786818968 & 16.2213766235955 \tabularnewline
0.14 & 176.757496790696 & 15.6622777559291 \tabularnewline
0.15 & 181.275248465054 & 15.2877614019343 \tabularnewline
0.16 & 185.597829995036 & 15.2616195919164 \tabularnewline
0.17 & 189.817486527856 & 15.6394255818875 \tabularnewline
0.18 & 194.027058129764 & 16.3566695131642 \tabularnewline
0.19 & 198.301714184877 & 17.2740147318319 \tabularnewline
0.2 & 202.687438317342 & 18.2370025871993 \tabularnewline
0.21 & 207.198607888601 & 19.1198587365031 \tabularnewline
0.22 & 211.823415838471 & 19.8460229445166 \tabularnewline
0.23 & 216.533884752025 & 20.3911154638784 \tabularnewline
0.24 & 221.296955002494 & 20.7733578996857 \tabularnewline
0.25 & 226.08397530437 & 21.0422546691054 \tabularnewline
0.26 & 230.877113596023 & 21.2639575627432 \tabularnewline
0.27 & 235.672203559546 & 21.5093245684108 \tabularnewline
0.28 & 240.478171263617 & 21.8409155005716 \tabularnewline
0.29 & 245.313542546156 & 22.2985683511908 \tabularnewline
0.3 & 250.200796678193 & 22.8873061459623 \tabularnewline
0.31 & 255.159610434801 & 23.5710389534712 \tabularnewline
0.32 & 260.200290238493 & 24.2749235678163 \tabularnewline
0.33 & 265.318778631781 & 24.9006179114254 \tabularnewline
0.34 & 270.494409764892 & 25.3469707065417 \tabularnewline
0.35 & 275.691045689133 & 25.5323291925311 \tabularnewline
0.36 & 280.861461774833 & 25.4102908327166 \tabularnewline
0.37 & 285.954079958258 & 24.9798254725966 \tabularnewline
0.38 & 290.920602833615 & 24.2850516913896 \tabularnewline
0.39 & 295.722934722494 & 23.4052226499515 \tabularnewline
0.4 & 300.338015141608 & 22.4389699516292 \tabularnewline
0.41 & 304.759738580566 & 21.4881113798459 \tabularnewline
0.42 & 308.99781908956 & 20.6384863716818 \tabularnewline
0.43 & 313.074095405157 & 19.9456224747055 \tabularnewline
0.44 & 317.017223332039 & 19.4314500773444 \tabularnewline
0.45 & 320.856899818658 & 19.0791580989442 \tabularnewline
0.46 & 324.618710886399 & 18.8451772767328 \tabularnewline
0.47 & 328.320446736247 & 18.6704001767989 \tabularnewline
0.48 & 331.970360247679 & 18.4938704672887 \tabularnewline
0.49 & 335.567441866883 & 18.2644535063992 \tabularnewline
0.5 & 339.103417150253 & 17.9475885736897 \tabularnewline
0.51 & 342.565898495743 & 17.5325895911188 \tabularnewline
0.52 & 345.941974027327 & 17.029378889985 \tabularnewline
0.53 & 349.221504877729 & 16.4667451424023 \tabularnewline
0.54 & 352.399515102847 & 15.8830416815228 \tabularnewline
0.55 & 355.477265630315 & 15.3201935898073 \tabularnewline
0.56 & 358.461863728322 & 14.8139863226036 \tabularnewline
0.57 & 361.364528935162 & 14.3852081301802 \tabularnewline
0.58 & 364.197875722894 & 14.0375900137014 \tabularnewline
0.59 & 366.972749679018 & 13.7532794245785 \tabularnewline
0.6 & 369.695242046718 & 13.4978756757204 \tabularnewline
0.61 & 372.364489274003 & 13.2251978759749 \tabularnewline
0.62 & 374.971733573609 & 12.8875226028485 \tabularnewline
0.63 & 377.500889188595 & 12.4458511061569 \tabularnewline
0.64 & 379.930562363925 & 11.8744061617112 \tabularnewline
0.65 & 382.237168929954 & 11.1689913497079 \tabularnewline
0.66 & 384.398552171264 & 10.3463867536098 \tabularnewline
0.67 & 386.397388835945 & 9.44125004150925 \tabularnewline
0.68 & 388.223718331367 & 8.49992832987999 \tabularnewline
0.69 & 389.876132326049 & 7.57150543471977 \tabularnewline
0.7 & 391.361468504866 & 6.70168768556563 \tabularnewline
0.71 & 392.693183162908 & 5.92268881550234 \tabularnewline
0.72 & 393.888847990434 & 5.25150684603584 \tabularnewline
0.73 & 394.967362957987 & 4.68881219841397 \tabularnewline
0.74 & 395.946473920437 & 4.22095823060814 \tabularnewline
0.75 & 396.841046365114 & 3.82653555757261 \tabularnewline
0.76 & 397.662323520769 & 3.48233817996594 \tabularnewline
0.77 & 398.418149833426 & 3.16941801905785 \tabularnewline
0.78 & 399.113927234287 & 2.87597889097491 \tabularnewline
0.79 & 399.753932226979 & 2.59886124345010 \tabularnewline
0.8 & 400.342576270766 & 2.34101056611818 \tabularnewline
0.81 & 400.885242483245 & 2.10920643818038 \tabularnewline
0.82 & 401.388468345578 & 1.91094658703932 \tabularnewline
0.83 & 401.859445349855 & 1.74954210852614 \tabularnewline
0.84 & 402.305034044923 & 1.62174182311578 \tabularnewline
0.85 & 402.730686926977 & 1.51840224856402 \tabularnewline
0.86 & 403.139758790642 & 1.42639786151034 \tabularnewline
0.87 & 403.53360528039 & 1.33447661002974 \tabularnewline
0.88 & 403.912619052508 & 1.23754596201904 \tabularnewline
0.89 & 404.277999971274 & 1.13904987883248 \tabularnewline
0.9 & 404.63372804575 & 1.05045575638009 \tabularnewline
0.91 & 404.988009234226 & 0.986726190922201 \tabularnewline
0.92 & 405.353389333593 & 0.96081837620837 \tabularnewline
0.93 & 405.7447505835 & 0.975430324814122 \tabularnewline
0.94 & 406.174977113867 & 1.01612808790671 \tabularnewline
0.95 & 406.650787579795 & 1.04731340899839 \tabularnewline
0.96 & 407.177066715858 & 1.02528763225805 \tabularnewline
0.97 & 407.778040132822 & 0.961588485448289 \tabularnewline
0.98 & 408.508069026744 & 1.04385939157189 \tabularnewline
0.99 & 409.351161379884 & 1.48167558106444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=78548&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]110.645530448703[/C][C]3.72971927160447[/C][/ROW]
[ROW][C]0.02[/C][C]113.348765773137[/C][C]4.54301829037777[/C][/ROW]
[ROW][C]0.03[/C][C]116.698841011399[/C][C]6.76831793158056[/C][/ROW]
[ROW][C]0.04[/C][C]120.766946495415[/C][C]9.71442939141969[/C][/ROW]
[ROW][C]0.05[/C][C]125.656622454860[/C][C]12.6008533767280[/C][/ROW]
[ROW][C]0.06[/C][C]131.266347828116[/C][C]14.8457642311815[/C][/ROW]
[ROW][C]0.07[/C][C]137.335488021235[/C][C]16.2456616553187[/C][/ROW]
[ROW][C]0.08[/C][C]143.574284274737[/C][C]16.9507494320892[/C][/ROW]
[ROW][C]0.09[/C][C]149.756409279648[/C][C]17.2383197486791[/C][/ROW]
[ROW][C]0.1[/C][C]155.743248856099[/C][C]17.2896917480517[/C][/ROW]
[ROW][C]0.11[/C][C]161.462177842[/C][C]17.1364122059726[/C][/ROW]
[ROW][C]0.12[/C][C]166.876609259247[/C][C]16.7633341676030[/C][/ROW]
[ROW][C]0.13[/C][C]171.971786818968[/C][C]16.2213766235955[/C][/ROW]
[ROW][C]0.14[/C][C]176.757496790696[/C][C]15.6622777559291[/C][/ROW]
[ROW][C]0.15[/C][C]181.275248465054[/C][C]15.2877614019343[/C][/ROW]
[ROW][C]0.16[/C][C]185.597829995036[/C][C]15.2616195919164[/C][/ROW]
[ROW][C]0.17[/C][C]189.817486527856[/C][C]15.6394255818875[/C][/ROW]
[ROW][C]0.18[/C][C]194.027058129764[/C][C]16.3566695131642[/C][/ROW]
[ROW][C]0.19[/C][C]198.301714184877[/C][C]17.2740147318319[/C][/ROW]
[ROW][C]0.2[/C][C]202.687438317342[/C][C]18.2370025871993[/C][/ROW]
[ROW][C]0.21[/C][C]207.198607888601[/C][C]19.1198587365031[/C][/ROW]
[ROW][C]0.22[/C][C]211.823415838471[/C][C]19.8460229445166[/C][/ROW]
[ROW][C]0.23[/C][C]216.533884752025[/C][C]20.3911154638784[/C][/ROW]
[ROW][C]0.24[/C][C]221.296955002494[/C][C]20.7733578996857[/C][/ROW]
[ROW][C]0.25[/C][C]226.08397530437[/C][C]21.0422546691054[/C][/ROW]
[ROW][C]0.26[/C][C]230.877113596023[/C][C]21.2639575627432[/C][/ROW]
[ROW][C]0.27[/C][C]235.672203559546[/C][C]21.5093245684108[/C][/ROW]
[ROW][C]0.28[/C][C]240.478171263617[/C][C]21.8409155005716[/C][/ROW]
[ROW][C]0.29[/C][C]245.313542546156[/C][C]22.2985683511908[/C][/ROW]
[ROW][C]0.3[/C][C]250.200796678193[/C][C]22.8873061459623[/C][/ROW]
[ROW][C]0.31[/C][C]255.159610434801[/C][C]23.5710389534712[/C][/ROW]
[ROW][C]0.32[/C][C]260.200290238493[/C][C]24.2749235678163[/C][/ROW]
[ROW][C]0.33[/C][C]265.318778631781[/C][C]24.9006179114254[/C][/ROW]
[ROW][C]0.34[/C][C]270.494409764892[/C][C]25.3469707065417[/C][/ROW]
[ROW][C]0.35[/C][C]275.691045689133[/C][C]25.5323291925311[/C][/ROW]
[ROW][C]0.36[/C][C]280.861461774833[/C][C]25.4102908327166[/C][/ROW]
[ROW][C]0.37[/C][C]285.954079958258[/C][C]24.9798254725966[/C][/ROW]
[ROW][C]0.38[/C][C]290.920602833615[/C][C]24.2850516913896[/C][/ROW]
[ROW][C]0.39[/C][C]295.722934722494[/C][C]23.4052226499515[/C][/ROW]
[ROW][C]0.4[/C][C]300.338015141608[/C][C]22.4389699516292[/C][/ROW]
[ROW][C]0.41[/C][C]304.759738580566[/C][C]21.4881113798459[/C][/ROW]
[ROW][C]0.42[/C][C]308.99781908956[/C][C]20.6384863716818[/C][/ROW]
[ROW][C]0.43[/C][C]313.074095405157[/C][C]19.9456224747055[/C][/ROW]
[ROW][C]0.44[/C][C]317.017223332039[/C][C]19.4314500773444[/C][/ROW]
[ROW][C]0.45[/C][C]320.856899818658[/C][C]19.0791580989442[/C][/ROW]
[ROW][C]0.46[/C][C]324.618710886399[/C][C]18.8451772767328[/C][/ROW]
[ROW][C]0.47[/C][C]328.320446736247[/C][C]18.6704001767989[/C][/ROW]
[ROW][C]0.48[/C][C]331.970360247679[/C][C]18.4938704672887[/C][/ROW]
[ROW][C]0.49[/C][C]335.567441866883[/C][C]18.2644535063992[/C][/ROW]
[ROW][C]0.5[/C][C]339.103417150253[/C][C]17.9475885736897[/C][/ROW]
[ROW][C]0.51[/C][C]342.565898495743[/C][C]17.5325895911188[/C][/ROW]
[ROW][C]0.52[/C][C]345.941974027327[/C][C]17.029378889985[/C][/ROW]
[ROW][C]0.53[/C][C]349.221504877729[/C][C]16.4667451424023[/C][/ROW]
[ROW][C]0.54[/C][C]352.399515102847[/C][C]15.8830416815228[/C][/ROW]
[ROW][C]0.55[/C][C]355.477265630315[/C][C]15.3201935898073[/C][/ROW]
[ROW][C]0.56[/C][C]358.461863728322[/C][C]14.8139863226036[/C][/ROW]
[ROW][C]0.57[/C][C]361.364528935162[/C][C]14.3852081301802[/C][/ROW]
[ROW][C]0.58[/C][C]364.197875722894[/C][C]14.0375900137014[/C][/ROW]
[ROW][C]0.59[/C][C]366.972749679018[/C][C]13.7532794245785[/C][/ROW]
[ROW][C]0.6[/C][C]369.695242046718[/C][C]13.4978756757204[/C][/ROW]
[ROW][C]0.61[/C][C]372.364489274003[/C][C]13.2251978759749[/C][/ROW]
[ROW][C]0.62[/C][C]374.971733573609[/C][C]12.8875226028485[/C][/ROW]
[ROW][C]0.63[/C][C]377.500889188595[/C][C]12.4458511061569[/C][/ROW]
[ROW][C]0.64[/C][C]379.930562363925[/C][C]11.8744061617112[/C][/ROW]
[ROW][C]0.65[/C][C]382.237168929954[/C][C]11.1689913497079[/C][/ROW]
[ROW][C]0.66[/C][C]384.398552171264[/C][C]10.3463867536098[/C][/ROW]
[ROW][C]0.67[/C][C]386.397388835945[/C][C]9.44125004150925[/C][/ROW]
[ROW][C]0.68[/C][C]388.223718331367[/C][C]8.49992832987999[/C][/ROW]
[ROW][C]0.69[/C][C]389.876132326049[/C][C]7.57150543471977[/C][/ROW]
[ROW][C]0.7[/C][C]391.361468504866[/C][C]6.70168768556563[/C][/ROW]
[ROW][C]0.71[/C][C]392.693183162908[/C][C]5.92268881550234[/C][/ROW]
[ROW][C]0.72[/C][C]393.888847990434[/C][C]5.25150684603584[/C][/ROW]
[ROW][C]0.73[/C][C]394.967362957987[/C][C]4.68881219841397[/C][/ROW]
[ROW][C]0.74[/C][C]395.946473920437[/C][C]4.22095823060814[/C][/ROW]
[ROW][C]0.75[/C][C]396.841046365114[/C][C]3.82653555757261[/C][/ROW]
[ROW][C]0.76[/C][C]397.662323520769[/C][C]3.48233817996594[/C][/ROW]
[ROW][C]0.77[/C][C]398.418149833426[/C][C]3.16941801905785[/C][/ROW]
[ROW][C]0.78[/C][C]399.113927234287[/C][C]2.87597889097491[/C][/ROW]
[ROW][C]0.79[/C][C]399.753932226979[/C][C]2.59886124345010[/C][/ROW]
[ROW][C]0.8[/C][C]400.342576270766[/C][C]2.34101056611818[/C][/ROW]
[ROW][C]0.81[/C][C]400.885242483245[/C][C]2.10920643818038[/C][/ROW]
[ROW][C]0.82[/C][C]401.388468345578[/C][C]1.91094658703932[/C][/ROW]
[ROW][C]0.83[/C][C]401.859445349855[/C][C]1.74954210852614[/C][/ROW]
[ROW][C]0.84[/C][C]402.305034044923[/C][C]1.62174182311578[/C][/ROW]
[ROW][C]0.85[/C][C]402.730686926977[/C][C]1.51840224856402[/C][/ROW]
[ROW][C]0.86[/C][C]403.139758790642[/C][C]1.42639786151034[/C][/ROW]
[ROW][C]0.87[/C][C]403.53360528039[/C][C]1.33447661002974[/C][/ROW]
[ROW][C]0.88[/C][C]403.912619052508[/C][C]1.23754596201904[/C][/ROW]
[ROW][C]0.89[/C][C]404.277999971274[/C][C]1.13904987883248[/C][/ROW]
[ROW][C]0.9[/C][C]404.63372804575[/C][C]1.05045575638009[/C][/ROW]
[ROW][C]0.91[/C][C]404.988009234226[/C][C]0.986726190922201[/C][/ROW]
[ROW][C]0.92[/C][C]405.353389333593[/C][C]0.96081837620837[/C][/ROW]
[ROW][C]0.93[/C][C]405.7447505835[/C][C]0.975430324814122[/C][/ROW]
[ROW][C]0.94[/C][C]406.174977113867[/C][C]1.01612808790671[/C][/ROW]
[ROW][C]0.95[/C][C]406.650787579795[/C][C]1.04731340899839[/C][/ROW]
[ROW][C]0.96[/C][C]407.177066715858[/C][C]1.02528763225805[/C][/ROW]
[ROW][C]0.97[/C][C]407.778040132822[/C][C]0.961588485448289[/C][/ROW]
[ROW][C]0.98[/C][C]408.508069026744[/C][C]1.04385939157189[/C][/ROW]
[ROW][C]0.99[/C][C]409.351161379884[/C][C]1.48167558106444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=78548&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=78548&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
0.01110.6455304487033.72971927160447
0.02113.3487657731374.54301829037777
0.03116.6988410113996.76831793158056
0.04120.7669464954159.71442939141969
0.05125.65662245486012.6008533767280
0.06131.26634782811614.8457642311815
0.07137.33548802123516.2456616553187
0.08143.57428427473716.9507494320892
0.09149.75640927964817.2383197486791
0.1155.74324885609917.2896917480517
0.11161.46217784217.1364122059726
0.12166.87660925924716.7633341676030
0.13171.97178681896816.2213766235955
0.14176.75749679069615.6622777559291
0.15181.27524846505415.2877614019343
0.16185.59782999503615.2616195919164
0.17189.81748652785615.6394255818875
0.18194.02705812976416.3566695131642
0.19198.30171418487717.2740147318319
0.2202.68743831734218.2370025871993
0.21207.19860788860119.1198587365031
0.22211.82341583847119.8460229445166
0.23216.53388475202520.3911154638784
0.24221.29695500249420.7733578996857
0.25226.0839753043721.0422546691054
0.26230.87711359602321.2639575627432
0.27235.67220355954621.5093245684108
0.28240.47817126361721.8409155005716
0.29245.31354254615622.2985683511908
0.3250.20079667819322.8873061459623
0.31255.15961043480123.5710389534712
0.32260.20029023849324.2749235678163
0.33265.31877863178124.9006179114254
0.34270.49440976489225.3469707065417
0.35275.69104568913325.5323291925311
0.36280.86146177483325.4102908327166
0.37285.95407995825824.9798254725966
0.38290.92060283361524.2850516913896
0.39295.72293472249423.4052226499515
0.4300.33801514160822.4389699516292
0.41304.75973858056621.4881113798459
0.42308.9978190895620.6384863716818
0.43313.07409540515719.9456224747055
0.44317.01722333203919.4314500773444
0.45320.85689981865819.0791580989442
0.46324.61871088639918.8451772767328
0.47328.32044673624718.6704001767989
0.48331.97036024767918.4938704672887
0.49335.56744186688318.2644535063992
0.5339.10341715025317.9475885736897
0.51342.56589849574317.5325895911188
0.52345.94197402732717.029378889985
0.53349.22150487772916.4667451424023
0.54352.39951510284715.8830416815228
0.55355.47726563031515.3201935898073
0.56358.46186372832214.8139863226036
0.57361.36452893516214.3852081301802
0.58364.19787572289414.0375900137014
0.59366.97274967901813.7532794245785
0.6369.69524204671813.4978756757204
0.61372.36448927400313.2251978759749
0.62374.97173357360912.8875226028485
0.63377.50088918859512.4458511061569
0.64379.93056236392511.8744061617112
0.65382.23716892995411.1689913497079
0.66384.39855217126410.3463867536098
0.67386.3973888359459.44125004150925
0.68388.2237183313678.49992832987999
0.69389.8761323260497.57150543471977
0.7391.3614685048666.70168768556563
0.71392.6931831629085.92268881550234
0.72393.8888479904345.25150684603584
0.73394.9673629579874.68881219841397
0.74395.9464739204374.22095823060814
0.75396.8410463651143.82653555757261
0.76397.6623235207693.48233817996594
0.77398.4181498334263.16941801905785
0.78399.1139272342872.87597889097491
0.79399.7539322269792.59886124345010
0.8400.3425762707662.34101056611818
0.81400.8852424832452.10920643818038
0.82401.3884683455781.91094658703932
0.83401.8594453498551.74954210852614
0.84402.3050340449231.62174182311578
0.85402.7306869269771.51840224856402
0.86403.1397587906421.42639786151034
0.87403.533605280391.33447661002974
0.88403.9126190525081.23754596201904
0.89404.2779999712741.13904987883248
0.9404.633728045751.05045575638009
0.91404.9880092342260.986726190922201
0.92405.3533893335930.96081837620837
0.93405.74475058350.975430324814122
0.94406.1749771138671.01612808790671
0.95406.6507875797951.04731340899839
0.96407.1770667158581.02528763225805
0.97407.7780401328220.961588485448289
0.98408.5080690267441.04385939157189
0.99409.3511613798841.48167558106444


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')