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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 computationTue, 15 Jan 2013 06:30:14 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Jan/15/t1358252966cvbuas58f2tibjq.htm/, Retrieved Sat, 27 Apr 2024 19:35:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205445, Retrieved Sat, 27 Apr 2024 19:35:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114

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] [Ruwe aardolie Har...] [2013-01-15 11:30:14] [4633288e60d40b4ed5f0b9573dd4d146] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
132
133,7
127
128,7
127,3
136,7
133,8
137,2
147,4
137,6
123,6
117,4
113,7
106,8
103,3
96,3
96,2
94,7
94,6
95,7
106,7
100,2
94,2
97,6
94,3
98
93,6
86,3
90,7
81,8
87,6
73,8
63,3
59,1
52,9
54,6
52,4
67,5
90,4
126
144,3
167,8
166,2
156
137
129,3
118
114,7
112,8
115,7
103,9
96,9
88,8
93
86,3
82,3
82,4
76,6
72,7
67,5
77,3
73,7
73
78,2
90,7
91,5
86,3
86,8
86,1
77,1
75,7
78,7
71,5
69,6
73,6
78,1
78,3
71,5
68,7
61,2
64,7
64,6
56,3
54,5
49,5
54
59,2
52,4
52,8
47,8
45,2
47,1
42,6
42,1
39,4
39,6

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'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205445&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205445&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205445&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0139.86231596691561.08131855196994
0.0240.89758949674531.96507677732671
0.0342.29081428123942.49585102977081
0.0443.81873956897762.85432963340636
0.0545.35923790137693.07799909089168
0.0646.84880079122233.15035240559255
0.0748.2437768540453.08825471719557
0.0849.51437043903162.92595649410611
0.0950.64932929248882.71637512680208
0.151.65923175952262.53685450532238
0.1152.57539182355352.46964322224198
0.1253.44334924519552.56469028676585
0.1354.31231802181562.81601663500004
0.1455.22431569950063.17463973549729
0.1556.2065979336723.57661909918457
0.1657.26898589962543.96279616164184
0.1758.40555419468434.28793826539347
0.1859.59901738331524.5251044273641
0.1960.8260135533664.66449351925694
0.262.06189906224784.71051594233502
0.2163.28426158456644.67664658394427
0.2264.47491602552284.58028934280116
0.2365.62056624883474.43900266812091
0.2466.71255002181924.26769018274197
0.2567.74613573584654.07859249711618
0.2668.71974866479033.88176191622813
0.2769.63433945766873.68597695299514
0.2870.49294039713213.49970099803255
0.2971.30034135821673.33132532402264
0.372.06278244349613.18780865284615
0.3172.78759473245333.07519234620176
0.3273.48278895351162.99643498392761
0.3374.15664980984652.95218989979975
0.3474.81740828988142.94165957652765
0.3575.47302862732812.96377738289534
0.3676.13108155268633.017324776796
0.3776.79861840339843.10134091788207
0.3877.48194604555023.21293737097709
0.3978.18624454257983.34712522017391
0.478.91505424595743.49432531039964
0.4179.66975043815533.64178549975724
0.4280.44917975853233.77492475362064
0.4381.24962421737313.88014344926926
0.4482.0651825249783.94679077111914
0.4582.88853941777453.97045960934663
0.4683.71197417199653.95197354837756
0.4784.52838282738763.89827325591677
0.4885.3320819981183.81964715733946
0.4986.11922692248293.72752388366992
0.586.88778902129193.63162010433664
0.5187.63716044793533.53791932836211
0.5288.36754688871483.44807418697096
0.5389.0793505669083.36057444452915
0.5489.77272828351473.27198859612604
0.5590.44744784704063.17876644871197
0.5691.1030841251073.07978488714218
0.5791.73951728273132.9770891042517
0.5892.35763735209662.87673004550077
0.5992.96012752871852.78905204499775
0.693.55219099148712.72806981876459
0.6194.14209529659152.7101589947479
0.6294.74142703524132.75275899740029
0.6395.36497322680422.87139383160722
0.6496.03017508253073.07692949514569
0.6596.75613806096613.3732325967831
0.6697.56223394323683.75547041947248
0.6798.46639724595584.20997371203165
0.6899.48329434092694.71474222260777
0.69100.6226154667085.24142570703111
0.7101.8877859684535.7576799039696
0.71103.2753877648456.23099202502621
0.72104.7755013533356.63314853006572
0.73106.3730109281496.94417991256813
0.74108.0496748900397.15571429724307
0.75109.7865055366827.27185151342636
0.76111.5658216307757.30621651069182
0.77113.3723509413497.27726136551643
0.78115.1930437106627.19990835053257
0.79117.0157783016347.07928593595875
0.8118.8277085329196.90916479245499
0.81120.6143165146966.67770728890747
0.82122.3600267540216.37704020558151
0.83124.0504702491076.01364035535398
0.84125.6754792320185.61149843309993
0.85127.2312383486175.205080590397
0.86128.7202905195784.82545429857234
0.87130.1494791648574.48628448915163
0.88131.5279668796834.18171261770404
0.89132.8691727813073.90352053573882
0.9134.200438017743.67190587205767
0.91135.5812783959263.56994367452126
0.92137.1253685828563.75178023452504
0.93139.0157448314774.37354598645816
0.94141.5011597138265.46955498420587
0.95144.8612874730946.91726622411548
0.96149.3131379168058.43908260240316
0.97154.8002206582549.42398815409312
0.98160.6602622333388.66781021258447
0.99165.4788055403315.21318663526563

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 39.8623159669156 & 1.08131855196994 \tabularnewline
0.02 & 40.8975894967453 & 1.96507677732671 \tabularnewline
0.03 & 42.2908142812394 & 2.49585102977081 \tabularnewline
0.04 & 43.8187395689776 & 2.85432963340636 \tabularnewline
0.05 & 45.3592379013769 & 3.07799909089168 \tabularnewline
0.06 & 46.8488007912223 & 3.15035240559255 \tabularnewline
0.07 & 48.243776854045 & 3.08825471719557 \tabularnewline
0.08 & 49.5143704390316 & 2.92595649410611 \tabularnewline
0.09 & 50.6493292924888 & 2.71637512680208 \tabularnewline
0.1 & 51.6592317595226 & 2.53685450532238 \tabularnewline
0.11 & 52.5753918235535 & 2.46964322224198 \tabularnewline
0.12 & 53.4433492451955 & 2.56469028676585 \tabularnewline
0.13 & 54.3123180218156 & 2.81601663500004 \tabularnewline
0.14 & 55.2243156995006 & 3.17463973549729 \tabularnewline
0.15 & 56.206597933672 & 3.57661909918457 \tabularnewline
0.16 & 57.2689858996254 & 3.96279616164184 \tabularnewline
0.17 & 58.4055541946843 & 4.28793826539347 \tabularnewline
0.18 & 59.5990173833152 & 4.5251044273641 \tabularnewline
0.19 & 60.826013553366 & 4.66449351925694 \tabularnewline
0.2 & 62.0618990622478 & 4.71051594233502 \tabularnewline
0.21 & 63.2842615845664 & 4.67664658394427 \tabularnewline
0.22 & 64.4749160255228 & 4.58028934280116 \tabularnewline
0.23 & 65.6205662488347 & 4.43900266812091 \tabularnewline
0.24 & 66.7125500218192 & 4.26769018274197 \tabularnewline
0.25 & 67.7461357358465 & 4.07859249711618 \tabularnewline
0.26 & 68.7197486647903 & 3.88176191622813 \tabularnewline
0.27 & 69.6343394576687 & 3.68597695299514 \tabularnewline
0.28 & 70.4929403971321 & 3.49970099803255 \tabularnewline
0.29 & 71.3003413582167 & 3.33132532402264 \tabularnewline
0.3 & 72.0627824434961 & 3.18780865284615 \tabularnewline
0.31 & 72.7875947324533 & 3.07519234620176 \tabularnewline
0.32 & 73.4827889535116 & 2.99643498392761 \tabularnewline
0.33 & 74.1566498098465 & 2.95218989979975 \tabularnewline
0.34 & 74.8174082898814 & 2.94165957652765 \tabularnewline
0.35 & 75.4730286273281 & 2.96377738289534 \tabularnewline
0.36 & 76.1310815526863 & 3.017324776796 \tabularnewline
0.37 & 76.7986184033984 & 3.10134091788207 \tabularnewline
0.38 & 77.4819460455502 & 3.21293737097709 \tabularnewline
0.39 & 78.1862445425798 & 3.34712522017391 \tabularnewline
0.4 & 78.9150542459574 & 3.49432531039964 \tabularnewline
0.41 & 79.6697504381553 & 3.64178549975724 \tabularnewline
0.42 & 80.4491797585323 & 3.77492475362064 \tabularnewline
0.43 & 81.2496242173731 & 3.88014344926926 \tabularnewline
0.44 & 82.065182524978 & 3.94679077111914 \tabularnewline
0.45 & 82.8885394177745 & 3.97045960934663 \tabularnewline
0.46 & 83.7119741719965 & 3.95197354837756 \tabularnewline
0.47 & 84.5283828273876 & 3.89827325591677 \tabularnewline
0.48 & 85.332081998118 & 3.81964715733946 \tabularnewline
0.49 & 86.1192269224829 & 3.72752388366992 \tabularnewline
0.5 & 86.8877890212919 & 3.63162010433664 \tabularnewline
0.51 & 87.6371604479353 & 3.53791932836211 \tabularnewline
0.52 & 88.3675468887148 & 3.44807418697096 \tabularnewline
0.53 & 89.079350566908 & 3.36057444452915 \tabularnewline
0.54 & 89.7727282835147 & 3.27198859612604 \tabularnewline
0.55 & 90.4474478470406 & 3.17876644871197 \tabularnewline
0.56 & 91.103084125107 & 3.07978488714218 \tabularnewline
0.57 & 91.7395172827313 & 2.9770891042517 \tabularnewline
0.58 & 92.3576373520966 & 2.87673004550077 \tabularnewline
0.59 & 92.9601275287185 & 2.78905204499775 \tabularnewline
0.6 & 93.5521909914871 & 2.72806981876459 \tabularnewline
0.61 & 94.1420952965915 & 2.7101589947479 \tabularnewline
0.62 & 94.7414270352413 & 2.75275899740029 \tabularnewline
0.63 & 95.3649732268042 & 2.87139383160722 \tabularnewline
0.64 & 96.0301750825307 & 3.07692949514569 \tabularnewline
0.65 & 96.7561380609661 & 3.3732325967831 \tabularnewline
0.66 & 97.5622339432368 & 3.75547041947248 \tabularnewline
0.67 & 98.4663972459558 & 4.20997371203165 \tabularnewline
0.68 & 99.4832943409269 & 4.71474222260777 \tabularnewline
0.69 & 100.622615466708 & 5.24142570703111 \tabularnewline
0.7 & 101.887785968453 & 5.7576799039696 \tabularnewline
0.71 & 103.275387764845 & 6.23099202502621 \tabularnewline
0.72 & 104.775501353335 & 6.63314853006572 \tabularnewline
0.73 & 106.373010928149 & 6.94417991256813 \tabularnewline
0.74 & 108.049674890039 & 7.15571429724307 \tabularnewline
0.75 & 109.786505536682 & 7.27185151342636 \tabularnewline
0.76 & 111.565821630775 & 7.30621651069182 \tabularnewline
0.77 & 113.372350941349 & 7.27726136551643 \tabularnewline
0.78 & 115.193043710662 & 7.19990835053257 \tabularnewline
0.79 & 117.015778301634 & 7.07928593595875 \tabularnewline
0.8 & 118.827708532919 & 6.90916479245499 \tabularnewline
0.81 & 120.614316514696 & 6.67770728890747 \tabularnewline
0.82 & 122.360026754021 & 6.37704020558151 \tabularnewline
0.83 & 124.050470249107 & 6.01364035535398 \tabularnewline
0.84 & 125.675479232018 & 5.61149843309993 \tabularnewline
0.85 & 127.231238348617 & 5.205080590397 \tabularnewline
0.86 & 128.720290519578 & 4.82545429857234 \tabularnewline
0.87 & 130.149479164857 & 4.48628448915163 \tabularnewline
0.88 & 131.527966879683 & 4.18171261770404 \tabularnewline
0.89 & 132.869172781307 & 3.90352053573882 \tabularnewline
0.9 & 134.20043801774 & 3.67190587205767 \tabularnewline
0.91 & 135.581278395926 & 3.56994367452126 \tabularnewline
0.92 & 137.125368582856 & 3.75178023452504 \tabularnewline
0.93 & 139.015744831477 & 4.37354598645816 \tabularnewline
0.94 & 141.501159713826 & 5.46955498420587 \tabularnewline
0.95 & 144.861287473094 & 6.91726622411548 \tabularnewline
0.96 & 149.313137916805 & 8.43908260240316 \tabularnewline
0.97 & 154.800220658254 & 9.42398815409312 \tabularnewline
0.98 & 160.660262233338 & 8.66781021258447 \tabularnewline
0.99 & 165.478805540331 & 5.21318663526563 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205445&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]39.8623159669156[/C][C]1.08131855196994[/C][/ROW]
[ROW][C]0.02[/C][C]40.8975894967453[/C][C]1.96507677732671[/C][/ROW]
[ROW][C]0.03[/C][C]42.2908142812394[/C][C]2.49585102977081[/C][/ROW]
[ROW][C]0.04[/C][C]43.8187395689776[/C][C]2.85432963340636[/C][/ROW]
[ROW][C]0.05[/C][C]45.3592379013769[/C][C]3.07799909089168[/C][/ROW]
[ROW][C]0.06[/C][C]46.8488007912223[/C][C]3.15035240559255[/C][/ROW]
[ROW][C]0.07[/C][C]48.243776854045[/C][C]3.08825471719557[/C][/ROW]
[ROW][C]0.08[/C][C]49.5143704390316[/C][C]2.92595649410611[/C][/ROW]
[ROW][C]0.09[/C][C]50.6493292924888[/C][C]2.71637512680208[/C][/ROW]
[ROW][C]0.1[/C][C]51.6592317595226[/C][C]2.53685450532238[/C][/ROW]
[ROW][C]0.11[/C][C]52.5753918235535[/C][C]2.46964322224198[/C][/ROW]
[ROW][C]0.12[/C][C]53.4433492451955[/C][C]2.56469028676585[/C][/ROW]
[ROW][C]0.13[/C][C]54.3123180218156[/C][C]2.81601663500004[/C][/ROW]
[ROW][C]0.14[/C][C]55.2243156995006[/C][C]3.17463973549729[/C][/ROW]
[ROW][C]0.15[/C][C]56.206597933672[/C][C]3.57661909918457[/C][/ROW]
[ROW][C]0.16[/C][C]57.2689858996254[/C][C]3.96279616164184[/C][/ROW]
[ROW][C]0.17[/C][C]58.4055541946843[/C][C]4.28793826539347[/C][/ROW]
[ROW][C]0.18[/C][C]59.5990173833152[/C][C]4.5251044273641[/C][/ROW]
[ROW][C]0.19[/C][C]60.826013553366[/C][C]4.66449351925694[/C][/ROW]
[ROW][C]0.2[/C][C]62.0618990622478[/C][C]4.71051594233502[/C][/ROW]
[ROW][C]0.21[/C][C]63.2842615845664[/C][C]4.67664658394427[/C][/ROW]
[ROW][C]0.22[/C][C]64.4749160255228[/C][C]4.58028934280116[/C][/ROW]
[ROW][C]0.23[/C][C]65.6205662488347[/C][C]4.43900266812091[/C][/ROW]
[ROW][C]0.24[/C][C]66.7125500218192[/C][C]4.26769018274197[/C][/ROW]
[ROW][C]0.25[/C][C]67.7461357358465[/C][C]4.07859249711618[/C][/ROW]
[ROW][C]0.26[/C][C]68.7197486647903[/C][C]3.88176191622813[/C][/ROW]
[ROW][C]0.27[/C][C]69.6343394576687[/C][C]3.68597695299514[/C][/ROW]
[ROW][C]0.28[/C][C]70.4929403971321[/C][C]3.49970099803255[/C][/ROW]
[ROW][C]0.29[/C][C]71.3003413582167[/C][C]3.33132532402264[/C][/ROW]
[ROW][C]0.3[/C][C]72.0627824434961[/C][C]3.18780865284615[/C][/ROW]
[ROW][C]0.31[/C][C]72.7875947324533[/C][C]3.07519234620176[/C][/ROW]
[ROW][C]0.32[/C][C]73.4827889535116[/C][C]2.99643498392761[/C][/ROW]
[ROW][C]0.33[/C][C]74.1566498098465[/C][C]2.95218989979975[/C][/ROW]
[ROW][C]0.34[/C][C]74.8174082898814[/C][C]2.94165957652765[/C][/ROW]
[ROW][C]0.35[/C][C]75.4730286273281[/C][C]2.96377738289534[/C][/ROW]
[ROW][C]0.36[/C][C]76.1310815526863[/C][C]3.017324776796[/C][/ROW]
[ROW][C]0.37[/C][C]76.7986184033984[/C][C]3.10134091788207[/C][/ROW]
[ROW][C]0.38[/C][C]77.4819460455502[/C][C]3.21293737097709[/C][/ROW]
[ROW][C]0.39[/C][C]78.1862445425798[/C][C]3.34712522017391[/C][/ROW]
[ROW][C]0.4[/C][C]78.9150542459574[/C][C]3.49432531039964[/C][/ROW]
[ROW][C]0.41[/C][C]79.6697504381553[/C][C]3.64178549975724[/C][/ROW]
[ROW][C]0.42[/C][C]80.4491797585323[/C][C]3.77492475362064[/C][/ROW]
[ROW][C]0.43[/C][C]81.2496242173731[/C][C]3.88014344926926[/C][/ROW]
[ROW][C]0.44[/C][C]82.065182524978[/C][C]3.94679077111914[/C][/ROW]
[ROW][C]0.45[/C][C]82.8885394177745[/C][C]3.97045960934663[/C][/ROW]
[ROW][C]0.46[/C][C]83.7119741719965[/C][C]3.95197354837756[/C][/ROW]
[ROW][C]0.47[/C][C]84.5283828273876[/C][C]3.89827325591677[/C][/ROW]
[ROW][C]0.48[/C][C]85.332081998118[/C][C]3.81964715733946[/C][/ROW]
[ROW][C]0.49[/C][C]86.1192269224829[/C][C]3.72752388366992[/C][/ROW]
[ROW][C]0.5[/C][C]86.8877890212919[/C][C]3.63162010433664[/C][/ROW]
[ROW][C]0.51[/C][C]87.6371604479353[/C][C]3.53791932836211[/C][/ROW]
[ROW][C]0.52[/C][C]88.3675468887148[/C][C]3.44807418697096[/C][/ROW]
[ROW][C]0.53[/C][C]89.079350566908[/C][C]3.36057444452915[/C][/ROW]
[ROW][C]0.54[/C][C]89.7727282835147[/C][C]3.27198859612604[/C][/ROW]
[ROW][C]0.55[/C][C]90.4474478470406[/C][C]3.17876644871197[/C][/ROW]
[ROW][C]0.56[/C][C]91.103084125107[/C][C]3.07978488714218[/C][/ROW]
[ROW][C]0.57[/C][C]91.7395172827313[/C][C]2.9770891042517[/C][/ROW]
[ROW][C]0.58[/C][C]92.3576373520966[/C][C]2.87673004550077[/C][/ROW]
[ROW][C]0.59[/C][C]92.9601275287185[/C][C]2.78905204499775[/C][/ROW]
[ROW][C]0.6[/C][C]93.5521909914871[/C][C]2.72806981876459[/C][/ROW]
[ROW][C]0.61[/C][C]94.1420952965915[/C][C]2.7101589947479[/C][/ROW]
[ROW][C]0.62[/C][C]94.7414270352413[/C][C]2.75275899740029[/C][/ROW]
[ROW][C]0.63[/C][C]95.3649732268042[/C][C]2.87139383160722[/C][/ROW]
[ROW][C]0.64[/C][C]96.0301750825307[/C][C]3.07692949514569[/C][/ROW]
[ROW][C]0.65[/C][C]96.7561380609661[/C][C]3.3732325967831[/C][/ROW]
[ROW][C]0.66[/C][C]97.5622339432368[/C][C]3.75547041947248[/C][/ROW]
[ROW][C]0.67[/C][C]98.4663972459558[/C][C]4.20997371203165[/C][/ROW]
[ROW][C]0.68[/C][C]99.4832943409269[/C][C]4.71474222260777[/C][/ROW]
[ROW][C]0.69[/C][C]100.622615466708[/C][C]5.24142570703111[/C][/ROW]
[ROW][C]0.7[/C][C]101.887785968453[/C][C]5.7576799039696[/C][/ROW]
[ROW][C]0.71[/C][C]103.275387764845[/C][C]6.23099202502621[/C][/ROW]
[ROW][C]0.72[/C][C]104.775501353335[/C][C]6.63314853006572[/C][/ROW]
[ROW][C]0.73[/C][C]106.373010928149[/C][C]6.94417991256813[/C][/ROW]
[ROW][C]0.74[/C][C]108.049674890039[/C][C]7.15571429724307[/C][/ROW]
[ROW][C]0.75[/C][C]109.786505536682[/C][C]7.27185151342636[/C][/ROW]
[ROW][C]0.76[/C][C]111.565821630775[/C][C]7.30621651069182[/C][/ROW]
[ROW][C]0.77[/C][C]113.372350941349[/C][C]7.27726136551643[/C][/ROW]
[ROW][C]0.78[/C][C]115.193043710662[/C][C]7.19990835053257[/C][/ROW]
[ROW][C]0.79[/C][C]117.015778301634[/C][C]7.07928593595875[/C][/ROW]
[ROW][C]0.8[/C][C]118.827708532919[/C][C]6.90916479245499[/C][/ROW]
[ROW][C]0.81[/C][C]120.614316514696[/C][C]6.67770728890747[/C][/ROW]
[ROW][C]0.82[/C][C]122.360026754021[/C][C]6.37704020558151[/C][/ROW]
[ROW][C]0.83[/C][C]124.050470249107[/C][C]6.01364035535398[/C][/ROW]
[ROW][C]0.84[/C][C]125.675479232018[/C][C]5.61149843309993[/C][/ROW]
[ROW][C]0.85[/C][C]127.231238348617[/C][C]5.205080590397[/C][/ROW]
[ROW][C]0.86[/C][C]128.720290519578[/C][C]4.82545429857234[/C][/ROW]
[ROW][C]0.87[/C][C]130.149479164857[/C][C]4.48628448915163[/C][/ROW]
[ROW][C]0.88[/C][C]131.527966879683[/C][C]4.18171261770404[/C][/ROW]
[ROW][C]0.89[/C][C]132.869172781307[/C][C]3.90352053573882[/C][/ROW]
[ROW][C]0.9[/C][C]134.20043801774[/C][C]3.67190587205767[/C][/ROW]
[ROW][C]0.91[/C][C]135.581278395926[/C][C]3.56994367452126[/C][/ROW]
[ROW][C]0.92[/C][C]137.125368582856[/C][C]3.75178023452504[/C][/ROW]
[ROW][C]0.93[/C][C]139.015744831477[/C][C]4.37354598645816[/C][/ROW]
[ROW][C]0.94[/C][C]141.501159713826[/C][C]5.46955498420587[/C][/ROW]
[ROW][C]0.95[/C][C]144.861287473094[/C][C]6.91726622411548[/C][/ROW]
[ROW][C]0.96[/C][C]149.313137916805[/C][C]8.43908260240316[/C][/ROW]
[ROW][C]0.97[/C][C]154.800220658254[/C][C]9.42398815409312[/C][/ROW]
[ROW][C]0.98[/C][C]160.660262233338[/C][C]8.66781021258447[/C][/ROW]
[ROW][C]0.99[/C][C]165.478805540331[/C][C]5.21318663526563[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205445&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205445&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
0.0139.86231596691561.08131855196994
0.0240.89758949674531.96507677732671
0.0342.29081428123942.49585102977081
0.0443.81873956897762.85432963340636
0.0545.35923790137693.07799909089168
0.0646.84880079122233.15035240559255
0.0748.2437768540453.08825471719557
0.0849.51437043903162.92595649410611
0.0950.64932929248882.71637512680208
0.151.65923175952262.53685450532238
0.1152.57539182355352.46964322224198
0.1253.44334924519552.56469028676585
0.1354.31231802181562.81601663500004
0.1455.22431569950063.17463973549729
0.1556.2065979336723.57661909918457
0.1657.26898589962543.96279616164184
0.1758.40555419468434.28793826539347
0.1859.59901738331524.5251044273641
0.1960.8260135533664.66449351925694
0.262.06189906224784.71051594233502
0.2163.28426158456644.67664658394427
0.2264.47491602552284.58028934280116
0.2365.62056624883474.43900266812091
0.2466.71255002181924.26769018274197
0.2567.74613573584654.07859249711618
0.2668.71974866479033.88176191622813
0.2769.63433945766873.68597695299514
0.2870.49294039713213.49970099803255
0.2971.30034135821673.33132532402264
0.372.06278244349613.18780865284615
0.3172.78759473245333.07519234620176
0.3273.48278895351162.99643498392761
0.3374.15664980984652.95218989979975
0.3474.81740828988142.94165957652765
0.3575.47302862732812.96377738289534
0.3676.13108155268633.017324776796
0.3776.79861840339843.10134091788207
0.3877.48194604555023.21293737097709
0.3978.18624454257983.34712522017391
0.478.91505424595743.49432531039964
0.4179.66975043815533.64178549975724
0.4280.44917975853233.77492475362064
0.4381.24962421737313.88014344926926
0.4482.0651825249783.94679077111914
0.4582.88853941777453.97045960934663
0.4683.71197417199653.95197354837756
0.4784.52838282738763.89827325591677
0.4885.3320819981183.81964715733946
0.4986.11922692248293.72752388366992
0.586.88778902129193.63162010433664
0.5187.63716044793533.53791932836211
0.5288.36754688871483.44807418697096
0.5389.0793505669083.36057444452915
0.5489.77272828351473.27198859612604
0.5590.44744784704063.17876644871197
0.5691.1030841251073.07978488714218
0.5791.73951728273132.9770891042517
0.5892.35763735209662.87673004550077
0.5992.96012752871852.78905204499775
0.693.55219099148712.72806981876459
0.6194.14209529659152.7101589947479
0.6294.74142703524132.75275899740029
0.6395.36497322680422.87139383160722
0.6496.03017508253073.07692949514569
0.6596.75613806096613.3732325967831
0.6697.56223394323683.75547041947248
0.6798.46639724595584.20997371203165
0.6899.48329434092694.71474222260777
0.69100.6226154667085.24142570703111
0.7101.8877859684535.7576799039696
0.71103.2753877648456.23099202502621
0.72104.7755013533356.63314853006572
0.73106.3730109281496.94417991256813
0.74108.0496748900397.15571429724307
0.75109.7865055366827.27185151342636
0.76111.5658216307757.30621651069182
0.77113.3723509413497.27726136551643
0.78115.1930437106627.19990835053257
0.79117.0157783016347.07928593595875
0.8118.8277085329196.90916479245499
0.81120.6143165146966.67770728890747
0.82122.3600267540216.37704020558151
0.83124.0504702491076.01364035535398
0.84125.6754792320185.61149843309993
0.85127.2312383486175.205080590397
0.86128.7202905195784.82545429857234
0.87130.1494791648574.48628448915163
0.88131.5279668796834.18171261770404
0.89132.8691727813073.90352053573882
0.9134.200438017743.67190587205767
0.91135.5812783959263.56994367452126
0.92137.1253685828563.75178023452504
0.93139.0157448314774.37354598645816
0.94141.5011597138265.46955498420587
0.95144.8612874730946.91726622411548
0.96149.3131379168058.43908260240316
0.97154.8002206582549.42398815409312
0.98160.6602622333388.66781021258447
0.99165.4788055403315.21318663526563


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')