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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, 10 Oct 2015 12:13:26 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Oct/10/t1444475630ni5gce3l30rfseg.htm/, Retrieved Tue, 14 May 2024 01:52:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=282154, Retrieved Tue, 14 May 2024 01:52:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

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] [] [2015-10-10 11:13:26] [cb8108074d5ede30ed5e3c15decd01d7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
143.7
149.3
121.7
81
68.1
92.3
107.7
114.4
98.6
106.7
73.9
85.9
118.4
144.2
118.4
82.6
68
99.8
93.4
107.9
101.1
100.4
76.7
89.1
105.3
124.8
111.9
89
88.6
84.5
91.1
118.1
103.6
92.6
70.2
70.2
114.3
125.3
98.9
65.4
66
71.2
84.6
102.6
91.8
97.4
64.1
62.3
96.2
104.9
90.3
65.2
57.8
70.5
93.2
74.2
91.1
85
58.9
68.3
98.1
110.5
77.6
55.1
49.8
58.5
86.5
88.8
94
65
52.2
70.9

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'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 & 1 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282154&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282154&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282154&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0150.70506200687122.50383877237564
0.0252.17487404734152.78463641204274
0.0353.8144329728922.96558323676168
0.0455.38650151892492.96803882450254
0.0556.81169724857432.90923871312678
0.0658.09410192479292.90102181265015
0.0759.26554079847522.95109474432033
0.0860.35452092132942.99458860697549
0.0961.37407072175482.96951457135207
0.162.32337459149892.85715109330655
0.1163.19626030843922.68127029381757
0.1263.98957280448042.48741956262763
0.1364.70741029675752.31989741987896
0.1465.36079953117212.20550537876123
0.1565.96463260302442.14872427763112
0.1666.53414162056452.13849136555684
0.1767.08247108352262.15931298087217
0.1867.61986385874092.20018490518232
0.1968.1541736176232.25811734685008
0.268.6920479540962.33728227787006
0.2169.2401267370652.4471247535968
0.2269.8058053934432.59759108294465
0.2370.39737140564252.79571641978632
0.2471.02354101213523.04242136739707
0.2571.69256540850813.331860165714
0.2672.41114152963413.65099578898514
0.2773.18336743603193.98216619123687
0.2874.0099451035314.30489555158051
0.2974.88777055656134.59781734895336
0.375.80997647465154.84136910108539
0.3176.76641711226615.0200800901068
0.3277.74451927134215.12358311159871
0.3378.73037388144225.14787336503877
0.3479.70991581410225.09540303253567
0.3580.67003730703784.97400911938237
0.3681.599501841634.79640667838156
0.3782.48956597190094.57763674153413
0.3883.33426870911224.33380040062143
0.3984.13040185125354.07976234092483
0.484.87722022514383.82801642186286
0.4185.5759804146093.58801423500328
0.4286.22940636684463.36584220274175
0.4386.84117119338033.16450069365808
0.4487.41546148541132.98521539562003
0.4587.95666081655262.8275538928279
0.4688.46916010577762.69103617700611
0.4788.95727954006812.57517935231524
0.4889.42527229010112.47975043436834
0.4989.87737403968692.40522894832099
0.590.31786245294662.352556066973
0.5190.75109485824962.32281454602205
0.5291.18149910015542.31702378562623
0.5391.61350125196562.33549752268498
0.5492.05138493681052.37746556919125
0.5592.49909044647722.44064668111234
0.5692.95997670232162.52095770012488
0.5793.43658293644752.61252717900006
0.5893.93043618927172.70853167799697
0.5994.44195157403272.8011146269491
0.694.97046224864222.88383910643516
0.6195.51439519881422.95107572118666
0.6296.07158051552313.00014795108052
0.6396.63965196818083.03116706560598
0.6497.21647298201613.04682842746624
0.6597.80051172006983.05255814930619
0.6698.39109618362083.05460473443404
0.6798.98850502394333.05938993687295
0.6899.59388716706783.07182308505919
0.69100.2090444769423.0949485144972
0.7100.8361457455213.12874287660537
0.71101.4774574606983.17166697022726
0.72102.1351709013583.22095321701103
0.73102.8113756318913.27417792960922
0.74103.5081822515243.33052047737058
0.75104.2279436667013.39077139396422
0.76104.9734788516773.45792419486767
0.77105.7481806447323.53555255467174
0.78106.5559003687863.62644609398792
0.79107.4005506440463.73074351495698
0.8108.285448565533.84425701874162
0.81109.2125211329013.9580338585715
0.82110.1815945087074.05962359247476
0.83111.1900670986674.13493810789677
0.84112.233303193134.17212969446551
0.85113.3060643369954.16552636049664
0.86114.4052217098674.11996953914801
0.87115.5338967563414.05519185374877
0.88116.7071062154374.00943542415681
0.89117.9588927274494.04177542576079
0.9119.3504156391644.23271450041481
0.91120.9766515136674.68122060555632
0.92122.9653217121595.48487243575469
0.93125.4566634296346.67362844563553
0.94128.5531453982118.08510805721929
0.95132.2450185791429.25916967919257
0.96136.3520367028329.52436064571068
0.97140.5396961457128.42923593054916
0.98144.405021009896.41322787405031
0.99147.505045114295.02701659452345

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 50.7050620068712 & 2.50383877237564 \tabularnewline
0.02 & 52.1748740473415 & 2.78463641204274 \tabularnewline
0.03 & 53.814432972892 & 2.96558323676168 \tabularnewline
0.04 & 55.3865015189249 & 2.96803882450254 \tabularnewline
0.05 & 56.8116972485743 & 2.90923871312678 \tabularnewline
0.06 & 58.0941019247929 & 2.90102181265015 \tabularnewline
0.07 & 59.2655407984752 & 2.95109474432033 \tabularnewline
0.08 & 60.3545209213294 & 2.99458860697549 \tabularnewline
0.09 & 61.3740707217548 & 2.96951457135207 \tabularnewline
0.1 & 62.3233745914989 & 2.85715109330655 \tabularnewline
0.11 & 63.1962603084392 & 2.68127029381757 \tabularnewline
0.12 & 63.9895728044804 & 2.48741956262763 \tabularnewline
0.13 & 64.7074102967575 & 2.31989741987896 \tabularnewline
0.14 & 65.3607995311721 & 2.20550537876123 \tabularnewline
0.15 & 65.9646326030244 & 2.14872427763112 \tabularnewline
0.16 & 66.5341416205645 & 2.13849136555684 \tabularnewline
0.17 & 67.0824710835226 & 2.15931298087217 \tabularnewline
0.18 & 67.6198638587409 & 2.20018490518232 \tabularnewline
0.19 & 68.154173617623 & 2.25811734685008 \tabularnewline
0.2 & 68.692047954096 & 2.33728227787006 \tabularnewline
0.21 & 69.240126737065 & 2.4471247535968 \tabularnewline
0.22 & 69.805805393443 & 2.59759108294465 \tabularnewline
0.23 & 70.3973714056425 & 2.79571641978632 \tabularnewline
0.24 & 71.0235410121352 & 3.04242136739707 \tabularnewline
0.25 & 71.6925654085081 & 3.331860165714 \tabularnewline
0.26 & 72.4111415296341 & 3.65099578898514 \tabularnewline
0.27 & 73.1833674360319 & 3.98216619123687 \tabularnewline
0.28 & 74.009945103531 & 4.30489555158051 \tabularnewline
0.29 & 74.8877705565613 & 4.59781734895336 \tabularnewline
0.3 & 75.8099764746515 & 4.84136910108539 \tabularnewline
0.31 & 76.7664171122661 & 5.0200800901068 \tabularnewline
0.32 & 77.7445192713421 & 5.12358311159871 \tabularnewline
0.33 & 78.7303738814422 & 5.14787336503877 \tabularnewline
0.34 & 79.7099158141022 & 5.09540303253567 \tabularnewline
0.35 & 80.6700373070378 & 4.97400911938237 \tabularnewline
0.36 & 81.59950184163 & 4.79640667838156 \tabularnewline
0.37 & 82.4895659719009 & 4.57763674153413 \tabularnewline
0.38 & 83.3342687091122 & 4.33380040062143 \tabularnewline
0.39 & 84.1304018512535 & 4.07976234092483 \tabularnewline
0.4 & 84.8772202251438 & 3.82801642186286 \tabularnewline
0.41 & 85.575980414609 & 3.58801423500328 \tabularnewline
0.42 & 86.2294063668446 & 3.36584220274175 \tabularnewline
0.43 & 86.8411711933803 & 3.16450069365808 \tabularnewline
0.44 & 87.4154614854113 & 2.98521539562003 \tabularnewline
0.45 & 87.9566608165526 & 2.8275538928279 \tabularnewline
0.46 & 88.4691601057776 & 2.69103617700611 \tabularnewline
0.47 & 88.9572795400681 & 2.57517935231524 \tabularnewline
0.48 & 89.4252722901011 & 2.47975043436834 \tabularnewline
0.49 & 89.8773740396869 & 2.40522894832099 \tabularnewline
0.5 & 90.3178624529466 & 2.352556066973 \tabularnewline
0.51 & 90.7510948582496 & 2.32281454602205 \tabularnewline
0.52 & 91.1814991001554 & 2.31702378562623 \tabularnewline
0.53 & 91.6135012519656 & 2.33549752268498 \tabularnewline
0.54 & 92.0513849368105 & 2.37746556919125 \tabularnewline
0.55 & 92.4990904464772 & 2.44064668111234 \tabularnewline
0.56 & 92.9599767023216 & 2.52095770012488 \tabularnewline
0.57 & 93.4365829364475 & 2.61252717900006 \tabularnewline
0.58 & 93.9304361892717 & 2.70853167799697 \tabularnewline
0.59 & 94.4419515740327 & 2.8011146269491 \tabularnewline
0.6 & 94.9704622486422 & 2.88383910643516 \tabularnewline
0.61 & 95.5143951988142 & 2.95107572118666 \tabularnewline
0.62 & 96.0715805155231 & 3.00014795108052 \tabularnewline
0.63 & 96.6396519681808 & 3.03116706560598 \tabularnewline
0.64 & 97.2164729820161 & 3.04682842746624 \tabularnewline
0.65 & 97.8005117200698 & 3.05255814930619 \tabularnewline
0.66 & 98.3910961836208 & 3.05460473443404 \tabularnewline
0.67 & 98.9885050239433 & 3.05938993687295 \tabularnewline
0.68 & 99.5938871670678 & 3.07182308505919 \tabularnewline
0.69 & 100.209044476942 & 3.0949485144972 \tabularnewline
0.7 & 100.836145745521 & 3.12874287660537 \tabularnewline
0.71 & 101.477457460698 & 3.17166697022726 \tabularnewline
0.72 & 102.135170901358 & 3.22095321701103 \tabularnewline
0.73 & 102.811375631891 & 3.27417792960922 \tabularnewline
0.74 & 103.508182251524 & 3.33052047737058 \tabularnewline
0.75 & 104.227943666701 & 3.39077139396422 \tabularnewline
0.76 & 104.973478851677 & 3.45792419486767 \tabularnewline
0.77 & 105.748180644732 & 3.53555255467174 \tabularnewline
0.78 & 106.555900368786 & 3.62644609398792 \tabularnewline
0.79 & 107.400550644046 & 3.73074351495698 \tabularnewline
0.8 & 108.28544856553 & 3.84425701874162 \tabularnewline
0.81 & 109.212521132901 & 3.9580338585715 \tabularnewline
0.82 & 110.181594508707 & 4.05962359247476 \tabularnewline
0.83 & 111.190067098667 & 4.13493810789677 \tabularnewline
0.84 & 112.23330319313 & 4.17212969446551 \tabularnewline
0.85 & 113.306064336995 & 4.16552636049664 \tabularnewline
0.86 & 114.405221709867 & 4.11996953914801 \tabularnewline
0.87 & 115.533896756341 & 4.05519185374877 \tabularnewline
0.88 & 116.707106215437 & 4.00943542415681 \tabularnewline
0.89 & 117.958892727449 & 4.04177542576079 \tabularnewline
0.9 & 119.350415639164 & 4.23271450041481 \tabularnewline
0.91 & 120.976651513667 & 4.68122060555632 \tabularnewline
0.92 & 122.965321712159 & 5.48487243575469 \tabularnewline
0.93 & 125.456663429634 & 6.67362844563553 \tabularnewline
0.94 & 128.553145398211 & 8.08510805721929 \tabularnewline
0.95 & 132.245018579142 & 9.25916967919257 \tabularnewline
0.96 & 136.352036702832 & 9.52436064571068 \tabularnewline
0.97 & 140.539696145712 & 8.42923593054916 \tabularnewline
0.98 & 144.40502100989 & 6.41322787405031 \tabularnewline
0.99 & 147.50504511429 & 5.02701659452345 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=282154&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]50.7050620068712[/C][C]2.50383877237564[/C][/ROW]
[ROW][C]0.02[/C][C]52.1748740473415[/C][C]2.78463641204274[/C][/ROW]
[ROW][C]0.03[/C][C]53.814432972892[/C][C]2.96558323676168[/C][/ROW]
[ROW][C]0.04[/C][C]55.3865015189249[/C][C]2.96803882450254[/C][/ROW]
[ROW][C]0.05[/C][C]56.8116972485743[/C][C]2.90923871312678[/C][/ROW]
[ROW][C]0.06[/C][C]58.0941019247929[/C][C]2.90102181265015[/C][/ROW]
[ROW][C]0.07[/C][C]59.2655407984752[/C][C]2.95109474432033[/C][/ROW]
[ROW][C]0.08[/C][C]60.3545209213294[/C][C]2.99458860697549[/C][/ROW]
[ROW][C]0.09[/C][C]61.3740707217548[/C][C]2.96951457135207[/C][/ROW]
[ROW][C]0.1[/C][C]62.3233745914989[/C][C]2.85715109330655[/C][/ROW]
[ROW][C]0.11[/C][C]63.1962603084392[/C][C]2.68127029381757[/C][/ROW]
[ROW][C]0.12[/C][C]63.9895728044804[/C][C]2.48741956262763[/C][/ROW]
[ROW][C]0.13[/C][C]64.7074102967575[/C][C]2.31989741987896[/C][/ROW]
[ROW][C]0.14[/C][C]65.3607995311721[/C][C]2.20550537876123[/C][/ROW]
[ROW][C]0.15[/C][C]65.9646326030244[/C][C]2.14872427763112[/C][/ROW]
[ROW][C]0.16[/C][C]66.5341416205645[/C][C]2.13849136555684[/C][/ROW]
[ROW][C]0.17[/C][C]67.0824710835226[/C][C]2.15931298087217[/C][/ROW]
[ROW][C]0.18[/C][C]67.6198638587409[/C][C]2.20018490518232[/C][/ROW]
[ROW][C]0.19[/C][C]68.154173617623[/C][C]2.25811734685008[/C][/ROW]
[ROW][C]0.2[/C][C]68.692047954096[/C][C]2.33728227787006[/C][/ROW]
[ROW][C]0.21[/C][C]69.240126737065[/C][C]2.4471247535968[/C][/ROW]
[ROW][C]0.22[/C][C]69.805805393443[/C][C]2.59759108294465[/C][/ROW]
[ROW][C]0.23[/C][C]70.3973714056425[/C][C]2.79571641978632[/C][/ROW]
[ROW][C]0.24[/C][C]71.0235410121352[/C][C]3.04242136739707[/C][/ROW]
[ROW][C]0.25[/C][C]71.6925654085081[/C][C]3.331860165714[/C][/ROW]
[ROW][C]0.26[/C][C]72.4111415296341[/C][C]3.65099578898514[/C][/ROW]
[ROW][C]0.27[/C][C]73.1833674360319[/C][C]3.98216619123687[/C][/ROW]
[ROW][C]0.28[/C][C]74.009945103531[/C][C]4.30489555158051[/C][/ROW]
[ROW][C]0.29[/C][C]74.8877705565613[/C][C]4.59781734895336[/C][/ROW]
[ROW][C]0.3[/C][C]75.8099764746515[/C][C]4.84136910108539[/C][/ROW]
[ROW][C]0.31[/C][C]76.7664171122661[/C][C]5.0200800901068[/C][/ROW]
[ROW][C]0.32[/C][C]77.7445192713421[/C][C]5.12358311159871[/C][/ROW]
[ROW][C]0.33[/C][C]78.7303738814422[/C][C]5.14787336503877[/C][/ROW]
[ROW][C]0.34[/C][C]79.7099158141022[/C][C]5.09540303253567[/C][/ROW]
[ROW][C]0.35[/C][C]80.6700373070378[/C][C]4.97400911938237[/C][/ROW]
[ROW][C]0.36[/C][C]81.59950184163[/C][C]4.79640667838156[/C][/ROW]
[ROW][C]0.37[/C][C]82.4895659719009[/C][C]4.57763674153413[/C][/ROW]
[ROW][C]0.38[/C][C]83.3342687091122[/C][C]4.33380040062143[/C][/ROW]
[ROW][C]0.39[/C][C]84.1304018512535[/C][C]4.07976234092483[/C][/ROW]
[ROW][C]0.4[/C][C]84.8772202251438[/C][C]3.82801642186286[/C][/ROW]
[ROW][C]0.41[/C][C]85.575980414609[/C][C]3.58801423500328[/C][/ROW]
[ROW][C]0.42[/C][C]86.2294063668446[/C][C]3.36584220274175[/C][/ROW]
[ROW][C]0.43[/C][C]86.8411711933803[/C][C]3.16450069365808[/C][/ROW]
[ROW][C]0.44[/C][C]87.4154614854113[/C][C]2.98521539562003[/C][/ROW]
[ROW][C]0.45[/C][C]87.9566608165526[/C][C]2.8275538928279[/C][/ROW]
[ROW][C]0.46[/C][C]88.4691601057776[/C][C]2.69103617700611[/C][/ROW]
[ROW][C]0.47[/C][C]88.9572795400681[/C][C]2.57517935231524[/C][/ROW]
[ROW][C]0.48[/C][C]89.4252722901011[/C][C]2.47975043436834[/C][/ROW]
[ROW][C]0.49[/C][C]89.8773740396869[/C][C]2.40522894832099[/C][/ROW]
[ROW][C]0.5[/C][C]90.3178624529466[/C][C]2.352556066973[/C][/ROW]
[ROW][C]0.51[/C][C]90.7510948582496[/C][C]2.32281454602205[/C][/ROW]
[ROW][C]0.52[/C][C]91.1814991001554[/C][C]2.31702378562623[/C][/ROW]
[ROW][C]0.53[/C][C]91.6135012519656[/C][C]2.33549752268498[/C][/ROW]
[ROW][C]0.54[/C][C]92.0513849368105[/C][C]2.37746556919125[/C][/ROW]
[ROW][C]0.55[/C][C]92.4990904464772[/C][C]2.44064668111234[/C][/ROW]
[ROW][C]0.56[/C][C]92.9599767023216[/C][C]2.52095770012488[/C][/ROW]
[ROW][C]0.57[/C][C]93.4365829364475[/C][C]2.61252717900006[/C][/ROW]
[ROW][C]0.58[/C][C]93.9304361892717[/C][C]2.70853167799697[/C][/ROW]
[ROW][C]0.59[/C][C]94.4419515740327[/C][C]2.8011146269491[/C][/ROW]
[ROW][C]0.6[/C][C]94.9704622486422[/C][C]2.88383910643516[/C][/ROW]
[ROW][C]0.61[/C][C]95.5143951988142[/C][C]2.95107572118666[/C][/ROW]
[ROW][C]0.62[/C][C]96.0715805155231[/C][C]3.00014795108052[/C][/ROW]
[ROW][C]0.63[/C][C]96.6396519681808[/C][C]3.03116706560598[/C][/ROW]
[ROW][C]0.64[/C][C]97.2164729820161[/C][C]3.04682842746624[/C][/ROW]
[ROW][C]0.65[/C][C]97.8005117200698[/C][C]3.05255814930619[/C][/ROW]
[ROW][C]0.66[/C][C]98.3910961836208[/C][C]3.05460473443404[/C][/ROW]
[ROW][C]0.67[/C][C]98.9885050239433[/C][C]3.05938993687295[/C][/ROW]
[ROW][C]0.68[/C][C]99.5938871670678[/C][C]3.07182308505919[/C][/ROW]
[ROW][C]0.69[/C][C]100.209044476942[/C][C]3.0949485144972[/C][/ROW]
[ROW][C]0.7[/C][C]100.836145745521[/C][C]3.12874287660537[/C][/ROW]
[ROW][C]0.71[/C][C]101.477457460698[/C][C]3.17166697022726[/C][/ROW]
[ROW][C]0.72[/C][C]102.135170901358[/C][C]3.22095321701103[/C][/ROW]
[ROW][C]0.73[/C][C]102.811375631891[/C][C]3.27417792960922[/C][/ROW]
[ROW][C]0.74[/C][C]103.508182251524[/C][C]3.33052047737058[/C][/ROW]
[ROW][C]0.75[/C][C]104.227943666701[/C][C]3.39077139396422[/C][/ROW]
[ROW][C]0.76[/C][C]104.973478851677[/C][C]3.45792419486767[/C][/ROW]
[ROW][C]0.77[/C][C]105.748180644732[/C][C]3.53555255467174[/C][/ROW]
[ROW][C]0.78[/C][C]106.555900368786[/C][C]3.62644609398792[/C][/ROW]
[ROW][C]0.79[/C][C]107.400550644046[/C][C]3.73074351495698[/C][/ROW]
[ROW][C]0.8[/C][C]108.28544856553[/C][C]3.84425701874162[/C][/ROW]
[ROW][C]0.81[/C][C]109.212521132901[/C][C]3.9580338585715[/C][/ROW]
[ROW][C]0.82[/C][C]110.181594508707[/C][C]4.05962359247476[/C][/ROW]
[ROW][C]0.83[/C][C]111.190067098667[/C][C]4.13493810789677[/C][/ROW]
[ROW][C]0.84[/C][C]112.23330319313[/C][C]4.17212969446551[/C][/ROW]
[ROW][C]0.85[/C][C]113.306064336995[/C][C]4.16552636049664[/C][/ROW]
[ROW][C]0.86[/C][C]114.405221709867[/C][C]4.11996953914801[/C][/ROW]
[ROW][C]0.87[/C][C]115.533896756341[/C][C]4.05519185374877[/C][/ROW]
[ROW][C]0.88[/C][C]116.707106215437[/C][C]4.00943542415681[/C][/ROW]
[ROW][C]0.89[/C][C]117.958892727449[/C][C]4.04177542576079[/C][/ROW]
[ROW][C]0.9[/C][C]119.350415639164[/C][C]4.23271450041481[/C][/ROW]
[ROW][C]0.91[/C][C]120.976651513667[/C][C]4.68122060555632[/C][/ROW]
[ROW][C]0.92[/C][C]122.965321712159[/C][C]5.48487243575469[/C][/ROW]
[ROW][C]0.93[/C][C]125.456663429634[/C][C]6.67362844563553[/C][/ROW]
[ROW][C]0.94[/C][C]128.553145398211[/C][C]8.08510805721929[/C][/ROW]
[ROW][C]0.95[/C][C]132.245018579142[/C][C]9.25916967919257[/C][/ROW]
[ROW][C]0.96[/C][C]136.352036702832[/C][C]9.52436064571068[/C][/ROW]
[ROW][C]0.97[/C][C]140.539696145712[/C][C]8.42923593054916[/C][/ROW]
[ROW][C]0.98[/C][C]144.40502100989[/C][C]6.41322787405031[/C][/ROW]
[ROW][C]0.99[/C][C]147.50504511429[/C][C]5.02701659452345[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=282154&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=282154&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
0.0150.70506200687122.50383877237564
0.0252.17487404734152.78463641204274
0.0353.8144329728922.96558323676168
0.0455.38650151892492.96803882450254
0.0556.81169724857432.90923871312678
0.0658.09410192479292.90102181265015
0.0759.26554079847522.95109474432033
0.0860.35452092132942.99458860697549
0.0961.37407072175482.96951457135207
0.162.32337459149892.85715109330655
0.1163.19626030843922.68127029381757
0.1263.98957280448042.48741956262763
0.1364.70741029675752.31989741987896
0.1465.36079953117212.20550537876123
0.1565.96463260302442.14872427763112
0.1666.53414162056452.13849136555684
0.1767.08247108352262.15931298087217
0.1867.61986385874092.20018490518232
0.1968.1541736176232.25811734685008
0.268.6920479540962.33728227787006
0.2169.2401267370652.4471247535968
0.2269.8058053934432.59759108294465
0.2370.39737140564252.79571641978632
0.2471.02354101213523.04242136739707
0.2571.69256540850813.331860165714
0.2672.41114152963413.65099578898514
0.2773.18336743603193.98216619123687
0.2874.0099451035314.30489555158051
0.2974.88777055656134.59781734895336
0.375.80997647465154.84136910108539
0.3176.76641711226615.0200800901068
0.3277.74451927134215.12358311159871
0.3378.73037388144225.14787336503877
0.3479.70991581410225.09540303253567
0.3580.67003730703784.97400911938237
0.3681.599501841634.79640667838156
0.3782.48956597190094.57763674153413
0.3883.33426870911224.33380040062143
0.3984.13040185125354.07976234092483
0.484.87722022514383.82801642186286
0.4185.5759804146093.58801423500328
0.4286.22940636684463.36584220274175
0.4386.84117119338033.16450069365808
0.4487.41546148541132.98521539562003
0.4587.95666081655262.8275538928279
0.4688.46916010577762.69103617700611
0.4788.95727954006812.57517935231524
0.4889.42527229010112.47975043436834
0.4989.87737403968692.40522894832099
0.590.31786245294662.352556066973
0.5190.75109485824962.32281454602205
0.5291.18149910015542.31702378562623
0.5391.61350125196562.33549752268498
0.5492.05138493681052.37746556919125
0.5592.49909044647722.44064668111234
0.5692.95997670232162.52095770012488
0.5793.43658293644752.61252717900006
0.5893.93043618927172.70853167799697
0.5994.44195157403272.8011146269491
0.694.97046224864222.88383910643516
0.6195.51439519881422.95107572118666
0.6296.07158051552313.00014795108052
0.6396.63965196818083.03116706560598
0.6497.21647298201613.04682842746624
0.6597.80051172006983.05255814930619
0.6698.39109618362083.05460473443404
0.6798.98850502394333.05938993687295
0.6899.59388716706783.07182308505919
0.69100.2090444769423.0949485144972
0.7100.8361457455213.12874287660537
0.71101.4774574606983.17166697022726
0.72102.1351709013583.22095321701103
0.73102.8113756318913.27417792960922
0.74103.5081822515243.33052047737058
0.75104.2279436667013.39077139396422
0.76104.9734788516773.45792419486767
0.77105.7481806447323.53555255467174
0.78106.5559003687863.62644609398792
0.79107.4005506440463.73074351495698
0.8108.285448565533.84425701874162
0.81109.2125211329013.9580338585715
0.82110.1815945087074.05962359247476
0.83111.1900670986674.13493810789677
0.84112.233303193134.17212969446551
0.85113.3060643369954.16552636049664
0.86114.4052217098674.11996953914801
0.87115.5338967563414.05519185374877
0.88116.7071062154374.00943542415681
0.89117.9588927274494.04177542576079
0.9119.3504156391644.23271450041481
0.91120.9766515136674.68122060555632
0.92122.9653217121595.48487243575469
0.93125.4566634296346.67362844563553
0.94128.5531453982118.08510805721929
0.95132.2450185791429.25916967919257
0.96136.3520367028329.52436064571068
0.97140.5396961457128.42923593054916
0.98144.405021009896.41322787405031
0.99147.505045114295.02701659452345


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')