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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 24 May 2012 15:51:49 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/24/t1337889273q27jsngc4qa4gvn.htm/, Retrieved Sun, 05 May 2024 16:28:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=167399, Retrieved Sun, 05 May 2024 16:28:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact80

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] [Percentielen Werk...] [2012-05-24 19:51:49] [bc909d11ab9ae813672fa3903785080c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
804.7
984.8
904.7
244.7
804.6
254.6
184.7
354.7
204.5
624.4
964.5
324.4
24.6
414.5
884.4
84.5
504.4
194.6
804.7
824.6
144.7
764.7
864.7
5
715
214.9
435.1
295
205.4
845.6
155.8
646.1
876.1
216.5
906.8
257.3
227.8
168.3
808.7
558.9
29.4
749.5
239.5
249.6
259.8
2710
829.9
259.9
179.7
319.8
469.8
789.9
309.6
689.4
269.5
279.6
379.5
469.5
619.8
419.4
419.1
959
148.9
149
659
729.1
739.1
659.1
619
598.9
498.7
398.5

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'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167399&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167399&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167399&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0112.183348795140620.0134140213845
0.0225.078436680169927.476098311218
0.0342.094277662095838.9991581460365
0.0461.788780119207847.5639750051346
0.0582.410017486263549.7289860696417
0.06102.04882109084346.0532330942069
0.07119.26797422290639.228660452077
0.08133.4835336233632.1124203130064
0.09144.8832174838726.5932961005253
0.1154.08533853606223.2929373584889
0.11161.7959281182221.8302022663624
0.12168.59726640063321.430997299839
0.13174.87761141873521.4523382149489
0.14180.85230220728621.5399424439962
0.15186.62050133199321.5658732744777
0.16192.22045704582121.5285623386531
0.17197.66743435380221.4733871254208
0.18202.97290591062321.4432988385059
0.19208.15022059181121.4546066538145
0.2213.21326097628521.4936899168509
0.21218.17331824345521.5276087825954
0.22223.03738721046521.5226511996918
0.23227.80920140883821.4636152913375
0.24232.49289753912821.3671226884746
0.25237.09828288136121.2873779794211
0.26241.6462602845821.3142195536689
0.27246.17298675696121.5596878773607
0.28250.73170405360522.1417690655725
0.29255.39174246709623.1587783023317
0.3260.23480373529424.6715219320505
0.31265.34913433768326.6918062440842
0.32270.82251351056329.1838073958575
0.33276.73507155159932.0727053743876
0.34283.1528531821935.2551511142528
0.35290.12281727895338.6098199470065
0.36297.66969958464142.0109231057049
0.37305.79492583646445.331433997716
0.38314.47758326380948.4552322549999
0.39323.67733571254751.2846594952601
0.4333.3390714496353.7493406576859
0.41343.39896485656255.8135469210249
0.42353.79148956643357.4823368939843
0.43364.45674638251358.8054599375406
0.44375.34730212775559.8747248431462
0.45386.4336344862760.814479671422
0.46397.70730292588861.7659499977616
0.47409.18115542477962.8666888480252
0.48420.88623564818564.2270885176332
0.49432.86553352053965.9036944172753
0.5445.16524676694167.8895901792713
0.51457.82469613494770.1061136427914
0.52470.86636792539272.4120325805769
0.53484.28766897272474.6203816858716
0.54498.05582980660276.5255627958174
0.55512.10698249490377.931692841149
0.56526.34981798406378.6804514364078
0.57540.67348496292978.6752484917312
0.58554.95865382945377.8952155786373
0.59569.09007585676876.4026289243286
0.6582.96864762469674.33398118259
0.61596.52102930516671.8780152761497
0.62609.70527710550669.252710833772
0.63622.51166600026866.6650246309131
0.64634.95875402655164.2867324300435
0.65647.0855843141462.2226201978553
0.66658.94154914232260.5023380410823
0.67670.57571989064659.0837790775928
0.68682.02734006487757.871292355823
0.69693.31875436115156.7387437217779
0.7704.45145839435555.5583092504025
0.71715.40538723234954.2130863783544
0.72726.14116782641152.6156922206165
0.73736.60490013668750.709426793349
0.74746.73504722095548.4716912688799
0.75756.47105755912245.9215419554779
0.76765.76324513364343.1187245060465
0.77774.5831182606740.1707880236959
0.78782.93282634799437.2290304265483
0.79790.85189419818434.4844836643394
0.8798.41924308008432.142594715233
0.81805.74893675947530.3831071921857
0.82812.97925541450629.3197112631021
0.83820.25645290592628.9499222701478
0.84827.71649669008929.1488063823172
0.85835.46964786660229.7030685001765
0.86843.59327032714230.3705713618548
0.87852.13717924111530.9590403204932
0.88861.14287753934931.3856484298794
0.89870.67422509865231.7162627072088
0.9880.85835373047132.1591564413362
0.91891.96295304997433.0023165981301
0.92904.64770687178934.5711679036842
0.93920.84497525492137.6957326186336
0.94946.37026819076946.672635400885
0.95996.98852022467378.7136447871182
0.961108.0761777658173.170476579139
0.971338.89927506551388.744657877633
0.981743.51271414277775.988724498922
0.992278.379536761991289.26267135408

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 12.1833487951406 & 20.0134140213845 \tabularnewline
0.02 & 25.0784366801699 & 27.476098311218 \tabularnewline
0.03 & 42.0942776620958 & 38.9991581460365 \tabularnewline
0.04 & 61.7887801192078 & 47.5639750051346 \tabularnewline
0.05 & 82.4100174862635 & 49.7289860696417 \tabularnewline
0.06 & 102.048821090843 & 46.0532330942069 \tabularnewline
0.07 & 119.267974222906 & 39.228660452077 \tabularnewline
0.08 & 133.48353362336 & 32.1124203130064 \tabularnewline
0.09 & 144.88321748387 & 26.5932961005253 \tabularnewline
0.1 & 154.085338536062 & 23.2929373584889 \tabularnewline
0.11 & 161.79592811822 & 21.8302022663624 \tabularnewline
0.12 & 168.597266400633 & 21.430997299839 \tabularnewline
0.13 & 174.877611418735 & 21.4523382149489 \tabularnewline
0.14 & 180.852302207286 & 21.5399424439962 \tabularnewline
0.15 & 186.620501331993 & 21.5658732744777 \tabularnewline
0.16 & 192.220457045821 & 21.5285623386531 \tabularnewline
0.17 & 197.667434353802 & 21.4733871254208 \tabularnewline
0.18 & 202.972905910623 & 21.4432988385059 \tabularnewline
0.19 & 208.150220591811 & 21.4546066538145 \tabularnewline
0.2 & 213.213260976285 & 21.4936899168509 \tabularnewline
0.21 & 218.173318243455 & 21.5276087825954 \tabularnewline
0.22 & 223.037387210465 & 21.5226511996918 \tabularnewline
0.23 & 227.809201408838 & 21.4636152913375 \tabularnewline
0.24 & 232.492897539128 & 21.3671226884746 \tabularnewline
0.25 & 237.098282881361 & 21.2873779794211 \tabularnewline
0.26 & 241.64626028458 & 21.3142195536689 \tabularnewline
0.27 & 246.172986756961 & 21.5596878773607 \tabularnewline
0.28 & 250.731704053605 & 22.1417690655725 \tabularnewline
0.29 & 255.391742467096 & 23.1587783023317 \tabularnewline
0.3 & 260.234803735294 & 24.6715219320505 \tabularnewline
0.31 & 265.349134337683 & 26.6918062440842 \tabularnewline
0.32 & 270.822513510563 & 29.1838073958575 \tabularnewline
0.33 & 276.735071551599 & 32.0727053743876 \tabularnewline
0.34 & 283.15285318219 & 35.2551511142528 \tabularnewline
0.35 & 290.122817278953 & 38.6098199470065 \tabularnewline
0.36 & 297.669699584641 & 42.0109231057049 \tabularnewline
0.37 & 305.794925836464 & 45.331433997716 \tabularnewline
0.38 & 314.477583263809 & 48.4552322549999 \tabularnewline
0.39 & 323.677335712547 & 51.2846594952601 \tabularnewline
0.4 & 333.33907144963 & 53.7493406576859 \tabularnewline
0.41 & 343.398964856562 & 55.8135469210249 \tabularnewline
0.42 & 353.791489566433 & 57.4823368939843 \tabularnewline
0.43 & 364.456746382513 & 58.8054599375406 \tabularnewline
0.44 & 375.347302127755 & 59.8747248431462 \tabularnewline
0.45 & 386.43363448627 & 60.814479671422 \tabularnewline
0.46 & 397.707302925888 & 61.7659499977616 \tabularnewline
0.47 & 409.181155424779 & 62.8666888480252 \tabularnewline
0.48 & 420.886235648185 & 64.2270885176332 \tabularnewline
0.49 & 432.865533520539 & 65.9036944172753 \tabularnewline
0.5 & 445.165246766941 & 67.8895901792713 \tabularnewline
0.51 & 457.824696134947 & 70.1061136427914 \tabularnewline
0.52 & 470.866367925392 & 72.4120325805769 \tabularnewline
0.53 & 484.287668972724 & 74.6203816858716 \tabularnewline
0.54 & 498.055829806602 & 76.5255627958174 \tabularnewline
0.55 & 512.106982494903 & 77.931692841149 \tabularnewline
0.56 & 526.349817984063 & 78.6804514364078 \tabularnewline
0.57 & 540.673484962929 & 78.6752484917312 \tabularnewline
0.58 & 554.958653829453 & 77.8952155786373 \tabularnewline
0.59 & 569.090075856768 & 76.4026289243286 \tabularnewline
0.6 & 582.968647624696 & 74.33398118259 \tabularnewline
0.61 & 596.521029305166 & 71.8780152761497 \tabularnewline
0.62 & 609.705277105506 & 69.252710833772 \tabularnewline
0.63 & 622.511666000268 & 66.6650246309131 \tabularnewline
0.64 & 634.958754026551 & 64.2867324300435 \tabularnewline
0.65 & 647.08558431414 & 62.2226201978553 \tabularnewline
0.66 & 658.941549142322 & 60.5023380410823 \tabularnewline
0.67 & 670.575719890646 & 59.0837790775928 \tabularnewline
0.68 & 682.027340064877 & 57.871292355823 \tabularnewline
0.69 & 693.318754361151 & 56.7387437217779 \tabularnewline
0.7 & 704.451458394355 & 55.5583092504025 \tabularnewline
0.71 & 715.405387232349 & 54.2130863783544 \tabularnewline
0.72 & 726.141167826411 & 52.6156922206165 \tabularnewline
0.73 & 736.604900136687 & 50.709426793349 \tabularnewline
0.74 & 746.735047220955 & 48.4716912688799 \tabularnewline
0.75 & 756.471057559122 & 45.9215419554779 \tabularnewline
0.76 & 765.763245133643 & 43.1187245060465 \tabularnewline
0.77 & 774.58311826067 & 40.1707880236959 \tabularnewline
0.78 & 782.932826347994 & 37.2290304265483 \tabularnewline
0.79 & 790.851894198184 & 34.4844836643394 \tabularnewline
0.8 & 798.419243080084 & 32.142594715233 \tabularnewline
0.81 & 805.748936759475 & 30.3831071921857 \tabularnewline
0.82 & 812.979255414506 & 29.3197112631021 \tabularnewline
0.83 & 820.256452905926 & 28.9499222701478 \tabularnewline
0.84 & 827.716496690089 & 29.1488063823172 \tabularnewline
0.85 & 835.469647866602 & 29.7030685001765 \tabularnewline
0.86 & 843.593270327142 & 30.3705713618548 \tabularnewline
0.87 & 852.137179241115 & 30.9590403204932 \tabularnewline
0.88 & 861.142877539349 & 31.3856484298794 \tabularnewline
0.89 & 870.674225098652 & 31.7162627072088 \tabularnewline
0.9 & 880.858353730471 & 32.1591564413362 \tabularnewline
0.91 & 891.962953049974 & 33.0023165981301 \tabularnewline
0.92 & 904.647706871789 & 34.5711679036842 \tabularnewline
0.93 & 920.844975254921 & 37.6957326186336 \tabularnewline
0.94 & 946.370268190769 & 46.672635400885 \tabularnewline
0.95 & 996.988520224673 & 78.7136447871182 \tabularnewline
0.96 & 1108.0761777658 & 173.170476579139 \tabularnewline
0.97 & 1338.89927506551 & 388.744657877633 \tabularnewline
0.98 & 1743.51271414277 & 775.988724498922 \tabularnewline
0.99 & 2278.37953676199 & 1289.26267135408 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167399&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]12.1833487951406[/C][C]20.0134140213845[/C][/ROW]
[ROW][C]0.02[/C][C]25.0784366801699[/C][C]27.476098311218[/C][/ROW]
[ROW][C]0.03[/C][C]42.0942776620958[/C][C]38.9991581460365[/C][/ROW]
[ROW][C]0.04[/C][C]61.7887801192078[/C][C]47.5639750051346[/C][/ROW]
[ROW][C]0.05[/C][C]82.4100174862635[/C][C]49.7289860696417[/C][/ROW]
[ROW][C]0.06[/C][C]102.048821090843[/C][C]46.0532330942069[/C][/ROW]
[ROW][C]0.07[/C][C]119.267974222906[/C][C]39.228660452077[/C][/ROW]
[ROW][C]0.08[/C][C]133.48353362336[/C][C]32.1124203130064[/C][/ROW]
[ROW][C]0.09[/C][C]144.88321748387[/C][C]26.5932961005253[/C][/ROW]
[ROW][C]0.1[/C][C]154.085338536062[/C][C]23.2929373584889[/C][/ROW]
[ROW][C]0.11[/C][C]161.79592811822[/C][C]21.8302022663624[/C][/ROW]
[ROW][C]0.12[/C][C]168.597266400633[/C][C]21.430997299839[/C][/ROW]
[ROW][C]0.13[/C][C]174.877611418735[/C][C]21.4523382149489[/C][/ROW]
[ROW][C]0.14[/C][C]180.852302207286[/C][C]21.5399424439962[/C][/ROW]
[ROW][C]0.15[/C][C]186.620501331993[/C][C]21.5658732744777[/C][/ROW]
[ROW][C]0.16[/C][C]192.220457045821[/C][C]21.5285623386531[/C][/ROW]
[ROW][C]0.17[/C][C]197.667434353802[/C][C]21.4733871254208[/C][/ROW]
[ROW][C]0.18[/C][C]202.972905910623[/C][C]21.4432988385059[/C][/ROW]
[ROW][C]0.19[/C][C]208.150220591811[/C][C]21.4546066538145[/C][/ROW]
[ROW][C]0.2[/C][C]213.213260976285[/C][C]21.4936899168509[/C][/ROW]
[ROW][C]0.21[/C][C]218.173318243455[/C][C]21.5276087825954[/C][/ROW]
[ROW][C]0.22[/C][C]223.037387210465[/C][C]21.5226511996918[/C][/ROW]
[ROW][C]0.23[/C][C]227.809201408838[/C][C]21.4636152913375[/C][/ROW]
[ROW][C]0.24[/C][C]232.492897539128[/C][C]21.3671226884746[/C][/ROW]
[ROW][C]0.25[/C][C]237.098282881361[/C][C]21.2873779794211[/C][/ROW]
[ROW][C]0.26[/C][C]241.64626028458[/C][C]21.3142195536689[/C][/ROW]
[ROW][C]0.27[/C][C]246.172986756961[/C][C]21.5596878773607[/C][/ROW]
[ROW][C]0.28[/C][C]250.731704053605[/C][C]22.1417690655725[/C][/ROW]
[ROW][C]0.29[/C][C]255.391742467096[/C][C]23.1587783023317[/C][/ROW]
[ROW][C]0.3[/C][C]260.234803735294[/C][C]24.6715219320505[/C][/ROW]
[ROW][C]0.31[/C][C]265.349134337683[/C][C]26.6918062440842[/C][/ROW]
[ROW][C]0.32[/C][C]270.822513510563[/C][C]29.1838073958575[/C][/ROW]
[ROW][C]0.33[/C][C]276.735071551599[/C][C]32.0727053743876[/C][/ROW]
[ROW][C]0.34[/C][C]283.15285318219[/C][C]35.2551511142528[/C][/ROW]
[ROW][C]0.35[/C][C]290.122817278953[/C][C]38.6098199470065[/C][/ROW]
[ROW][C]0.36[/C][C]297.669699584641[/C][C]42.0109231057049[/C][/ROW]
[ROW][C]0.37[/C][C]305.794925836464[/C][C]45.331433997716[/C][/ROW]
[ROW][C]0.38[/C][C]314.477583263809[/C][C]48.4552322549999[/C][/ROW]
[ROW][C]0.39[/C][C]323.677335712547[/C][C]51.2846594952601[/C][/ROW]
[ROW][C]0.4[/C][C]333.33907144963[/C][C]53.7493406576859[/C][/ROW]
[ROW][C]0.41[/C][C]343.398964856562[/C][C]55.8135469210249[/C][/ROW]
[ROW][C]0.42[/C][C]353.791489566433[/C][C]57.4823368939843[/C][/ROW]
[ROW][C]0.43[/C][C]364.456746382513[/C][C]58.8054599375406[/C][/ROW]
[ROW][C]0.44[/C][C]375.347302127755[/C][C]59.8747248431462[/C][/ROW]
[ROW][C]0.45[/C][C]386.43363448627[/C][C]60.814479671422[/C][/ROW]
[ROW][C]0.46[/C][C]397.707302925888[/C][C]61.7659499977616[/C][/ROW]
[ROW][C]0.47[/C][C]409.181155424779[/C][C]62.8666888480252[/C][/ROW]
[ROW][C]0.48[/C][C]420.886235648185[/C][C]64.2270885176332[/C][/ROW]
[ROW][C]0.49[/C][C]432.865533520539[/C][C]65.9036944172753[/C][/ROW]
[ROW][C]0.5[/C][C]445.165246766941[/C][C]67.8895901792713[/C][/ROW]
[ROW][C]0.51[/C][C]457.824696134947[/C][C]70.1061136427914[/C][/ROW]
[ROW][C]0.52[/C][C]470.866367925392[/C][C]72.4120325805769[/C][/ROW]
[ROW][C]0.53[/C][C]484.287668972724[/C][C]74.6203816858716[/C][/ROW]
[ROW][C]0.54[/C][C]498.055829806602[/C][C]76.5255627958174[/C][/ROW]
[ROW][C]0.55[/C][C]512.106982494903[/C][C]77.931692841149[/C][/ROW]
[ROW][C]0.56[/C][C]526.349817984063[/C][C]78.6804514364078[/C][/ROW]
[ROW][C]0.57[/C][C]540.673484962929[/C][C]78.6752484917312[/C][/ROW]
[ROW][C]0.58[/C][C]554.958653829453[/C][C]77.8952155786373[/C][/ROW]
[ROW][C]0.59[/C][C]569.090075856768[/C][C]76.4026289243286[/C][/ROW]
[ROW][C]0.6[/C][C]582.968647624696[/C][C]74.33398118259[/C][/ROW]
[ROW][C]0.61[/C][C]596.521029305166[/C][C]71.8780152761497[/C][/ROW]
[ROW][C]0.62[/C][C]609.705277105506[/C][C]69.252710833772[/C][/ROW]
[ROW][C]0.63[/C][C]622.511666000268[/C][C]66.6650246309131[/C][/ROW]
[ROW][C]0.64[/C][C]634.958754026551[/C][C]64.2867324300435[/C][/ROW]
[ROW][C]0.65[/C][C]647.08558431414[/C][C]62.2226201978553[/C][/ROW]
[ROW][C]0.66[/C][C]658.941549142322[/C][C]60.5023380410823[/C][/ROW]
[ROW][C]0.67[/C][C]670.575719890646[/C][C]59.0837790775928[/C][/ROW]
[ROW][C]0.68[/C][C]682.027340064877[/C][C]57.871292355823[/C][/ROW]
[ROW][C]0.69[/C][C]693.318754361151[/C][C]56.7387437217779[/C][/ROW]
[ROW][C]0.7[/C][C]704.451458394355[/C][C]55.5583092504025[/C][/ROW]
[ROW][C]0.71[/C][C]715.405387232349[/C][C]54.2130863783544[/C][/ROW]
[ROW][C]0.72[/C][C]726.141167826411[/C][C]52.6156922206165[/C][/ROW]
[ROW][C]0.73[/C][C]736.604900136687[/C][C]50.709426793349[/C][/ROW]
[ROW][C]0.74[/C][C]746.735047220955[/C][C]48.4716912688799[/C][/ROW]
[ROW][C]0.75[/C][C]756.471057559122[/C][C]45.9215419554779[/C][/ROW]
[ROW][C]0.76[/C][C]765.763245133643[/C][C]43.1187245060465[/C][/ROW]
[ROW][C]0.77[/C][C]774.58311826067[/C][C]40.1707880236959[/C][/ROW]
[ROW][C]0.78[/C][C]782.932826347994[/C][C]37.2290304265483[/C][/ROW]
[ROW][C]0.79[/C][C]790.851894198184[/C][C]34.4844836643394[/C][/ROW]
[ROW][C]0.8[/C][C]798.419243080084[/C][C]32.142594715233[/C][/ROW]
[ROW][C]0.81[/C][C]805.748936759475[/C][C]30.3831071921857[/C][/ROW]
[ROW][C]0.82[/C][C]812.979255414506[/C][C]29.3197112631021[/C][/ROW]
[ROW][C]0.83[/C][C]820.256452905926[/C][C]28.9499222701478[/C][/ROW]
[ROW][C]0.84[/C][C]827.716496690089[/C][C]29.1488063823172[/C][/ROW]
[ROW][C]0.85[/C][C]835.469647866602[/C][C]29.7030685001765[/C][/ROW]
[ROW][C]0.86[/C][C]843.593270327142[/C][C]30.3705713618548[/C][/ROW]
[ROW][C]0.87[/C][C]852.137179241115[/C][C]30.9590403204932[/C][/ROW]
[ROW][C]0.88[/C][C]861.142877539349[/C][C]31.3856484298794[/C][/ROW]
[ROW][C]0.89[/C][C]870.674225098652[/C][C]31.7162627072088[/C][/ROW]
[ROW][C]0.9[/C][C]880.858353730471[/C][C]32.1591564413362[/C][/ROW]
[ROW][C]0.91[/C][C]891.962953049974[/C][C]33.0023165981301[/C][/ROW]
[ROW][C]0.92[/C][C]904.647706871789[/C][C]34.5711679036842[/C][/ROW]
[ROW][C]0.93[/C][C]920.844975254921[/C][C]37.6957326186336[/C][/ROW]
[ROW][C]0.94[/C][C]946.370268190769[/C][C]46.672635400885[/C][/ROW]
[ROW][C]0.95[/C][C]996.988520224673[/C][C]78.7136447871182[/C][/ROW]
[ROW][C]0.96[/C][C]1108.0761777658[/C][C]173.170476579139[/C][/ROW]
[ROW][C]0.97[/C][C]1338.89927506551[/C][C]388.744657877633[/C][/ROW]
[ROW][C]0.98[/C][C]1743.51271414277[/C][C]775.988724498922[/C][/ROW]
[ROW][C]0.99[/C][C]2278.37953676199[/C][C]1289.26267135408[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167399&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167399&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
0.0112.183348795140620.0134140213845
0.0225.078436680169927.476098311218
0.0342.094277662095838.9991581460365
0.0461.788780119207847.5639750051346
0.0582.410017486263549.7289860696417
0.06102.04882109084346.0532330942069
0.07119.26797422290639.228660452077
0.08133.4835336233632.1124203130064
0.09144.8832174838726.5932961005253
0.1154.08533853606223.2929373584889
0.11161.7959281182221.8302022663624
0.12168.59726640063321.430997299839
0.13174.87761141873521.4523382149489
0.14180.85230220728621.5399424439962
0.15186.62050133199321.5658732744777
0.16192.22045704582121.5285623386531
0.17197.66743435380221.4733871254208
0.18202.97290591062321.4432988385059
0.19208.15022059181121.4546066538145
0.2213.21326097628521.4936899168509
0.21218.17331824345521.5276087825954
0.22223.03738721046521.5226511996918
0.23227.80920140883821.4636152913375
0.24232.49289753912821.3671226884746
0.25237.09828288136121.2873779794211
0.26241.6462602845821.3142195536689
0.27246.17298675696121.5596878773607
0.28250.73170405360522.1417690655725
0.29255.39174246709623.1587783023317
0.3260.23480373529424.6715219320505
0.31265.34913433768326.6918062440842
0.32270.82251351056329.1838073958575
0.33276.73507155159932.0727053743876
0.34283.1528531821935.2551511142528
0.35290.12281727895338.6098199470065
0.36297.66969958464142.0109231057049
0.37305.79492583646445.331433997716
0.38314.47758326380948.4552322549999
0.39323.67733571254751.2846594952601
0.4333.3390714496353.7493406576859
0.41343.39896485656255.8135469210249
0.42353.79148956643357.4823368939843
0.43364.45674638251358.8054599375406
0.44375.34730212775559.8747248431462
0.45386.4336344862760.814479671422
0.46397.70730292588861.7659499977616
0.47409.18115542477962.8666888480252
0.48420.88623564818564.2270885176332
0.49432.86553352053965.9036944172753
0.5445.16524676694167.8895901792713
0.51457.82469613494770.1061136427914
0.52470.86636792539272.4120325805769
0.53484.28766897272474.6203816858716
0.54498.05582980660276.5255627958174
0.55512.10698249490377.931692841149
0.56526.34981798406378.6804514364078
0.57540.67348496292978.6752484917312
0.58554.95865382945377.8952155786373
0.59569.09007585676876.4026289243286
0.6582.96864762469674.33398118259
0.61596.52102930516671.8780152761497
0.62609.70527710550669.252710833772
0.63622.51166600026866.6650246309131
0.64634.95875402655164.2867324300435
0.65647.0855843141462.2226201978553
0.66658.94154914232260.5023380410823
0.67670.57571989064659.0837790775928
0.68682.02734006487757.871292355823
0.69693.31875436115156.7387437217779
0.7704.45145839435555.5583092504025
0.71715.40538723234954.2130863783544
0.72726.14116782641152.6156922206165
0.73736.60490013668750.709426793349
0.74746.73504722095548.4716912688799
0.75756.47105755912245.9215419554779
0.76765.76324513364343.1187245060465
0.77774.5831182606740.1707880236959
0.78782.93282634799437.2290304265483
0.79790.85189419818434.4844836643394
0.8798.41924308008432.142594715233
0.81805.74893675947530.3831071921857
0.82812.97925541450629.3197112631021
0.83820.25645290592628.9499222701478
0.84827.71649669008929.1488063823172
0.85835.46964786660229.7030685001765
0.86843.59327032714230.3705713618548
0.87852.13717924111530.9590403204932
0.88861.14287753934931.3856484298794
0.89870.67422509865231.7162627072088
0.9880.85835373047132.1591564413362
0.91891.96295304997433.0023165981301
0.92904.64770687178934.5711679036842
0.93920.84497525492137.6957326186336
0.94946.37026819076946.672635400885
0.95996.98852022467378.7136447871182
0.961108.0761777658173.170476579139
0.971338.89927506551388.744657877633
0.981743.51271414277775.988724498922
0.992278.379536761991289.26267135408


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 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')