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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 computationWed, 22 Feb 2012 18:17:20 -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/2012/Feb/22/t132995274364jykn1dfn55h3c.htm/, Retrieved Mon, 06 May 2024 16:12:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163274, Retrieved Mon, 06 May 2024 16:12:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact75

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] [] [2012-02-22 23:17:20] [30c94b4dfb4338ed9c3f059abdec5f3e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.19
98.19
98.19
98.19
98.19
98.19
98.19
100.48
102.78
102.78
102.78
102.78
102.78
102.78
102.78
102.78
102.78
102.78
102.78
101.67
101.67
101.67
101.67
101.67
101.67
101.67
101.67
101.67
101.67
101.67
101.67
105.79
105.79
105.79
105.79
105.79
105.79
105.79
105.79
105.79
105.79
105.79
105.79
104.47
104.47
104.47
104.47
104.47
104.47
104.47
104.47
105.5
105.5
105.5
105.5
106.61
106.61
106.61
106.61
106.61
106.61
106.61
106.61
112.06
112.06
112.06
112.06
111.18
111.18
111.18

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=163274&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=163274&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163274&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
0.0198.19069301172980.00338187596340757
0.0298.19475409479780.0200273192347706
0.0398.20882916810440.0681106011506083
0.0498.24483276222190.169208173624714
0.0598.31911969409860.337422331236624
0.0698.44883712591590.567954939815768
0.0798.64638350297610.832573629955863
0.0898.91422906093891.08577398208967
0.0999.24245608719361.27952934560674
0.199.61017272246171.37863407469545
0.1199.99020952413251.3707926955023
0.12100.3552213625541.26732741949049
0.13100.6830586718611.09644765721278
0.14100.9599487173260.892927006428274
0.15101.18110719930.688669864365085
0.16101.3493164147130.507205325373051
0.17101.4724461979330.361915263369635
0.18101.560856161180.257991668188538
0.19101.6252943221220.196186877989901
0.2101.675524473820.17430979522639
0.21101.7196267259240.185193226212424
0.22101.7637756984210.217611041064844
0.23101.8122867633690.261990608552403
0.24101.8677779089710.311230226061065
0.25101.9313703132770.359560061017634
0.26102.0029100955270.401928244865537
0.27102.0812233400770.434405171979955
0.28102.164418301970.454309780520355
0.29102.2502329055590.460782746450816
0.3102.3364044398620.454846160557914
0.31102.421021772280.439335625358006
0.32102.5028142590260.418692217962628
0.33102.5813371115240.398381507720422
0.34102.6570279806010.384054155744312
0.35102.7311296434250.381106255612968
0.36102.8054942559330.393009676268728
0.37102.8823018352140.420457079418731
0.38102.963737014130.461640352438885
0.39103.051672569760.512130156441989
0.4103.1474056930860.567220818773501
0.41103.2514840547090.621290807990225
0.42103.3636445956630.669526409108303
0.43103.4828703895630.707800171679037
0.44103.6075522877550.733428107582083
0.45103.7357253019090.745311121775485
0.46103.8653378293030.744057755388129
0.47103.9945073477690.731886704627048
0.48104.1217202814570.71190987395378
0.49104.2459457786240.687891842064488
0.5104.3666507523230.663396107653427
0.51104.4837229866520.640922073223307
0.52104.5973262347780.621829939819667
0.53104.7077224599480.605850678285923
0.54104.8150996137890.591732098690209
0.55104.919438480960.577090128491482
0.56105.0204409052670.55973127419724
0.57105.1175272275350.537689972179354
0.58105.2098965318090.509833431844856
0.59105.2966323672280.475907615333654
0.6105.3768308766060.436364231409826
0.61105.4497281310.392598067625178
0.62105.5148079854990.346348091024693
0.63105.5718790478150.299603892044057
0.64105.6211171680460.254513213830866
0.65105.6630762352120.213089471743846
0.66105.6986736777880.177049820771049
0.67105.729157442860.148089497496809
0.68105.7560587765540.1278910737347
0.69105.7811310132960.118286943804519
0.7105.8062705353580.120410250624724
0.71105.8334141057240.134138560539159
0.72105.8644088186060.157756068117889
0.73105.9008582371810.188801641177441
0.74105.9439609697780.224266230416305
0.75105.9943743500510.260777484254233
0.76106.0521525302040.294810256183297
0.77106.1168200135490.323106804211334
0.78106.1876421837810.343779396960488
0.79106.2641369978360.357244146543534
0.8106.3468301408220.367638445398116
0.81106.4381845397920.38452868658889
0.82106.5435341850060.423818945721062
0.83106.6717341014360.504907975745255
0.84106.8351381812090.643522930728922
0.85107.0484990215760.84488433925965
0.86107.3265326385231.10046772274705
0.87107.6802672737671.38615558535597
0.88108.1128667226511.66246469090104
0.89108.6161914635071.87973737707469
0.9109.1695928573091.99006205649439
0.91109.7419920837641.96239378313223
0.92110.2971313955131.79498909910302
0.93110.8004704885671.51765675344577
0.94111.2254007430991.18147070059833
0.95111.5569310576460.840219846260039
0.96111.7925007045470.535134789976234
0.97111.9408391009730.291482782683113
0.98112.0196601176450.122948322792239
0.99112.0518831988760.0311991357659822

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.1906930117298 & 0.00338187596340757 \tabularnewline
0.02 & 98.1947540947978 & 0.0200273192347706 \tabularnewline
0.03 & 98.2088291681044 & 0.0681106011506083 \tabularnewline
0.04 & 98.2448327622219 & 0.169208173624714 \tabularnewline
0.05 & 98.3191196940986 & 0.337422331236624 \tabularnewline
0.06 & 98.4488371259159 & 0.567954939815768 \tabularnewline
0.07 & 98.6463835029761 & 0.832573629955863 \tabularnewline
0.08 & 98.9142290609389 & 1.08577398208967 \tabularnewline
0.09 & 99.2424560871936 & 1.27952934560674 \tabularnewline
0.1 & 99.6101727224617 & 1.37863407469545 \tabularnewline
0.11 & 99.9902095241325 & 1.3707926955023 \tabularnewline
0.12 & 100.355221362554 & 1.26732741949049 \tabularnewline
0.13 & 100.683058671861 & 1.09644765721278 \tabularnewline
0.14 & 100.959948717326 & 0.892927006428274 \tabularnewline
0.15 & 101.1811071993 & 0.688669864365085 \tabularnewline
0.16 & 101.349316414713 & 0.507205325373051 \tabularnewline
0.17 & 101.472446197933 & 0.361915263369635 \tabularnewline
0.18 & 101.56085616118 & 0.257991668188538 \tabularnewline
0.19 & 101.625294322122 & 0.196186877989901 \tabularnewline
0.2 & 101.67552447382 & 0.17430979522639 \tabularnewline
0.21 & 101.719626725924 & 0.185193226212424 \tabularnewline
0.22 & 101.763775698421 & 0.217611041064844 \tabularnewline
0.23 & 101.812286763369 & 0.261990608552403 \tabularnewline
0.24 & 101.867777908971 & 0.311230226061065 \tabularnewline
0.25 & 101.931370313277 & 0.359560061017634 \tabularnewline
0.26 & 102.002910095527 & 0.401928244865537 \tabularnewline
0.27 & 102.081223340077 & 0.434405171979955 \tabularnewline
0.28 & 102.16441830197 & 0.454309780520355 \tabularnewline
0.29 & 102.250232905559 & 0.460782746450816 \tabularnewline
0.3 & 102.336404439862 & 0.454846160557914 \tabularnewline
0.31 & 102.42102177228 & 0.439335625358006 \tabularnewline
0.32 & 102.502814259026 & 0.418692217962628 \tabularnewline
0.33 & 102.581337111524 & 0.398381507720422 \tabularnewline
0.34 & 102.657027980601 & 0.384054155744312 \tabularnewline
0.35 & 102.731129643425 & 0.381106255612968 \tabularnewline
0.36 & 102.805494255933 & 0.393009676268728 \tabularnewline
0.37 & 102.882301835214 & 0.420457079418731 \tabularnewline
0.38 & 102.96373701413 & 0.461640352438885 \tabularnewline
0.39 & 103.05167256976 & 0.512130156441989 \tabularnewline
0.4 & 103.147405693086 & 0.567220818773501 \tabularnewline
0.41 & 103.251484054709 & 0.621290807990225 \tabularnewline
0.42 & 103.363644595663 & 0.669526409108303 \tabularnewline
0.43 & 103.482870389563 & 0.707800171679037 \tabularnewline
0.44 & 103.607552287755 & 0.733428107582083 \tabularnewline
0.45 & 103.735725301909 & 0.745311121775485 \tabularnewline
0.46 & 103.865337829303 & 0.744057755388129 \tabularnewline
0.47 & 103.994507347769 & 0.731886704627048 \tabularnewline
0.48 & 104.121720281457 & 0.71190987395378 \tabularnewline
0.49 & 104.245945778624 & 0.687891842064488 \tabularnewline
0.5 & 104.366650752323 & 0.663396107653427 \tabularnewline
0.51 & 104.483722986652 & 0.640922073223307 \tabularnewline
0.52 & 104.597326234778 & 0.621829939819667 \tabularnewline
0.53 & 104.707722459948 & 0.605850678285923 \tabularnewline
0.54 & 104.815099613789 & 0.591732098690209 \tabularnewline
0.55 & 104.91943848096 & 0.577090128491482 \tabularnewline
0.56 & 105.020440905267 & 0.55973127419724 \tabularnewline
0.57 & 105.117527227535 & 0.537689972179354 \tabularnewline
0.58 & 105.209896531809 & 0.509833431844856 \tabularnewline
0.59 & 105.296632367228 & 0.475907615333654 \tabularnewline
0.6 & 105.376830876606 & 0.436364231409826 \tabularnewline
0.61 & 105.449728131 & 0.392598067625178 \tabularnewline
0.62 & 105.514807985499 & 0.346348091024693 \tabularnewline
0.63 & 105.571879047815 & 0.299603892044057 \tabularnewline
0.64 & 105.621117168046 & 0.254513213830866 \tabularnewline
0.65 & 105.663076235212 & 0.213089471743846 \tabularnewline
0.66 & 105.698673677788 & 0.177049820771049 \tabularnewline
0.67 & 105.72915744286 & 0.148089497496809 \tabularnewline
0.68 & 105.756058776554 & 0.1278910737347 \tabularnewline
0.69 & 105.781131013296 & 0.118286943804519 \tabularnewline
0.7 & 105.806270535358 & 0.120410250624724 \tabularnewline
0.71 & 105.833414105724 & 0.134138560539159 \tabularnewline
0.72 & 105.864408818606 & 0.157756068117889 \tabularnewline
0.73 & 105.900858237181 & 0.188801641177441 \tabularnewline
0.74 & 105.943960969778 & 0.224266230416305 \tabularnewline
0.75 & 105.994374350051 & 0.260777484254233 \tabularnewline
0.76 & 106.052152530204 & 0.294810256183297 \tabularnewline
0.77 & 106.116820013549 & 0.323106804211334 \tabularnewline
0.78 & 106.187642183781 & 0.343779396960488 \tabularnewline
0.79 & 106.264136997836 & 0.357244146543534 \tabularnewline
0.8 & 106.346830140822 & 0.367638445398116 \tabularnewline
0.81 & 106.438184539792 & 0.38452868658889 \tabularnewline
0.82 & 106.543534185006 & 0.423818945721062 \tabularnewline
0.83 & 106.671734101436 & 0.504907975745255 \tabularnewline
0.84 & 106.835138181209 & 0.643522930728922 \tabularnewline
0.85 & 107.048499021576 & 0.84488433925965 \tabularnewline
0.86 & 107.326532638523 & 1.10046772274705 \tabularnewline
0.87 & 107.680267273767 & 1.38615558535597 \tabularnewline
0.88 & 108.112866722651 & 1.66246469090104 \tabularnewline
0.89 & 108.616191463507 & 1.87973737707469 \tabularnewline
0.9 & 109.169592857309 & 1.99006205649439 \tabularnewline
0.91 & 109.741992083764 & 1.96239378313223 \tabularnewline
0.92 & 110.297131395513 & 1.79498909910302 \tabularnewline
0.93 & 110.800470488567 & 1.51765675344577 \tabularnewline
0.94 & 111.225400743099 & 1.18147070059833 \tabularnewline
0.95 & 111.556931057646 & 0.840219846260039 \tabularnewline
0.96 & 111.792500704547 & 0.535134789976234 \tabularnewline
0.97 & 111.940839100973 & 0.291482782683113 \tabularnewline
0.98 & 112.019660117645 & 0.122948322792239 \tabularnewline
0.99 & 112.051883198876 & 0.0311991357659822 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163274&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]98.1906930117298[/C][C]0.00338187596340757[/C][/ROW]
[ROW][C]0.02[/C][C]98.1947540947978[/C][C]0.0200273192347706[/C][/ROW]
[ROW][C]0.03[/C][C]98.2088291681044[/C][C]0.0681106011506083[/C][/ROW]
[ROW][C]0.04[/C][C]98.2448327622219[/C][C]0.169208173624714[/C][/ROW]
[ROW][C]0.05[/C][C]98.3191196940986[/C][C]0.337422331236624[/C][/ROW]
[ROW][C]0.06[/C][C]98.4488371259159[/C][C]0.567954939815768[/C][/ROW]
[ROW][C]0.07[/C][C]98.6463835029761[/C][C]0.832573629955863[/C][/ROW]
[ROW][C]0.08[/C][C]98.9142290609389[/C][C]1.08577398208967[/C][/ROW]
[ROW][C]0.09[/C][C]99.2424560871936[/C][C]1.27952934560674[/C][/ROW]
[ROW][C]0.1[/C][C]99.6101727224617[/C][C]1.37863407469545[/C][/ROW]
[ROW][C]0.11[/C][C]99.9902095241325[/C][C]1.3707926955023[/C][/ROW]
[ROW][C]0.12[/C][C]100.355221362554[/C][C]1.26732741949049[/C][/ROW]
[ROW][C]0.13[/C][C]100.683058671861[/C][C]1.09644765721278[/C][/ROW]
[ROW][C]0.14[/C][C]100.959948717326[/C][C]0.892927006428274[/C][/ROW]
[ROW][C]0.15[/C][C]101.1811071993[/C][C]0.688669864365085[/C][/ROW]
[ROW][C]0.16[/C][C]101.349316414713[/C][C]0.507205325373051[/C][/ROW]
[ROW][C]0.17[/C][C]101.472446197933[/C][C]0.361915263369635[/C][/ROW]
[ROW][C]0.18[/C][C]101.56085616118[/C][C]0.257991668188538[/C][/ROW]
[ROW][C]0.19[/C][C]101.625294322122[/C][C]0.196186877989901[/C][/ROW]
[ROW][C]0.2[/C][C]101.67552447382[/C][C]0.17430979522639[/C][/ROW]
[ROW][C]0.21[/C][C]101.719626725924[/C][C]0.185193226212424[/C][/ROW]
[ROW][C]0.22[/C][C]101.763775698421[/C][C]0.217611041064844[/C][/ROW]
[ROW][C]0.23[/C][C]101.812286763369[/C][C]0.261990608552403[/C][/ROW]
[ROW][C]0.24[/C][C]101.867777908971[/C][C]0.311230226061065[/C][/ROW]
[ROW][C]0.25[/C][C]101.931370313277[/C][C]0.359560061017634[/C][/ROW]
[ROW][C]0.26[/C][C]102.002910095527[/C][C]0.401928244865537[/C][/ROW]
[ROW][C]0.27[/C][C]102.081223340077[/C][C]0.434405171979955[/C][/ROW]
[ROW][C]0.28[/C][C]102.16441830197[/C][C]0.454309780520355[/C][/ROW]
[ROW][C]0.29[/C][C]102.250232905559[/C][C]0.460782746450816[/C][/ROW]
[ROW][C]0.3[/C][C]102.336404439862[/C][C]0.454846160557914[/C][/ROW]
[ROW][C]0.31[/C][C]102.42102177228[/C][C]0.439335625358006[/C][/ROW]
[ROW][C]0.32[/C][C]102.502814259026[/C][C]0.418692217962628[/C][/ROW]
[ROW][C]0.33[/C][C]102.581337111524[/C][C]0.398381507720422[/C][/ROW]
[ROW][C]0.34[/C][C]102.657027980601[/C][C]0.384054155744312[/C][/ROW]
[ROW][C]0.35[/C][C]102.731129643425[/C][C]0.381106255612968[/C][/ROW]
[ROW][C]0.36[/C][C]102.805494255933[/C][C]0.393009676268728[/C][/ROW]
[ROW][C]0.37[/C][C]102.882301835214[/C][C]0.420457079418731[/C][/ROW]
[ROW][C]0.38[/C][C]102.96373701413[/C][C]0.461640352438885[/C][/ROW]
[ROW][C]0.39[/C][C]103.05167256976[/C][C]0.512130156441989[/C][/ROW]
[ROW][C]0.4[/C][C]103.147405693086[/C][C]0.567220818773501[/C][/ROW]
[ROW][C]0.41[/C][C]103.251484054709[/C][C]0.621290807990225[/C][/ROW]
[ROW][C]0.42[/C][C]103.363644595663[/C][C]0.669526409108303[/C][/ROW]
[ROW][C]0.43[/C][C]103.482870389563[/C][C]0.707800171679037[/C][/ROW]
[ROW][C]0.44[/C][C]103.607552287755[/C][C]0.733428107582083[/C][/ROW]
[ROW][C]0.45[/C][C]103.735725301909[/C][C]0.745311121775485[/C][/ROW]
[ROW][C]0.46[/C][C]103.865337829303[/C][C]0.744057755388129[/C][/ROW]
[ROW][C]0.47[/C][C]103.994507347769[/C][C]0.731886704627048[/C][/ROW]
[ROW][C]0.48[/C][C]104.121720281457[/C][C]0.71190987395378[/C][/ROW]
[ROW][C]0.49[/C][C]104.245945778624[/C][C]0.687891842064488[/C][/ROW]
[ROW][C]0.5[/C][C]104.366650752323[/C][C]0.663396107653427[/C][/ROW]
[ROW][C]0.51[/C][C]104.483722986652[/C][C]0.640922073223307[/C][/ROW]
[ROW][C]0.52[/C][C]104.597326234778[/C][C]0.621829939819667[/C][/ROW]
[ROW][C]0.53[/C][C]104.707722459948[/C][C]0.605850678285923[/C][/ROW]
[ROW][C]0.54[/C][C]104.815099613789[/C][C]0.591732098690209[/C][/ROW]
[ROW][C]0.55[/C][C]104.91943848096[/C][C]0.577090128491482[/C][/ROW]
[ROW][C]0.56[/C][C]105.020440905267[/C][C]0.55973127419724[/C][/ROW]
[ROW][C]0.57[/C][C]105.117527227535[/C][C]0.537689972179354[/C][/ROW]
[ROW][C]0.58[/C][C]105.209896531809[/C][C]0.509833431844856[/C][/ROW]
[ROW][C]0.59[/C][C]105.296632367228[/C][C]0.475907615333654[/C][/ROW]
[ROW][C]0.6[/C][C]105.376830876606[/C][C]0.436364231409826[/C][/ROW]
[ROW][C]0.61[/C][C]105.449728131[/C][C]0.392598067625178[/C][/ROW]
[ROW][C]0.62[/C][C]105.514807985499[/C][C]0.346348091024693[/C][/ROW]
[ROW][C]0.63[/C][C]105.571879047815[/C][C]0.299603892044057[/C][/ROW]
[ROW][C]0.64[/C][C]105.621117168046[/C][C]0.254513213830866[/C][/ROW]
[ROW][C]0.65[/C][C]105.663076235212[/C][C]0.213089471743846[/C][/ROW]
[ROW][C]0.66[/C][C]105.698673677788[/C][C]0.177049820771049[/C][/ROW]
[ROW][C]0.67[/C][C]105.72915744286[/C][C]0.148089497496809[/C][/ROW]
[ROW][C]0.68[/C][C]105.756058776554[/C][C]0.1278910737347[/C][/ROW]
[ROW][C]0.69[/C][C]105.781131013296[/C][C]0.118286943804519[/C][/ROW]
[ROW][C]0.7[/C][C]105.806270535358[/C][C]0.120410250624724[/C][/ROW]
[ROW][C]0.71[/C][C]105.833414105724[/C][C]0.134138560539159[/C][/ROW]
[ROW][C]0.72[/C][C]105.864408818606[/C][C]0.157756068117889[/C][/ROW]
[ROW][C]0.73[/C][C]105.900858237181[/C][C]0.188801641177441[/C][/ROW]
[ROW][C]0.74[/C][C]105.943960969778[/C][C]0.224266230416305[/C][/ROW]
[ROW][C]0.75[/C][C]105.994374350051[/C][C]0.260777484254233[/C][/ROW]
[ROW][C]0.76[/C][C]106.052152530204[/C][C]0.294810256183297[/C][/ROW]
[ROW][C]0.77[/C][C]106.116820013549[/C][C]0.323106804211334[/C][/ROW]
[ROW][C]0.78[/C][C]106.187642183781[/C][C]0.343779396960488[/C][/ROW]
[ROW][C]0.79[/C][C]106.264136997836[/C][C]0.357244146543534[/C][/ROW]
[ROW][C]0.8[/C][C]106.346830140822[/C][C]0.367638445398116[/C][/ROW]
[ROW][C]0.81[/C][C]106.438184539792[/C][C]0.38452868658889[/C][/ROW]
[ROW][C]0.82[/C][C]106.543534185006[/C][C]0.423818945721062[/C][/ROW]
[ROW][C]0.83[/C][C]106.671734101436[/C][C]0.504907975745255[/C][/ROW]
[ROW][C]0.84[/C][C]106.835138181209[/C][C]0.643522930728922[/C][/ROW]
[ROW][C]0.85[/C][C]107.048499021576[/C][C]0.84488433925965[/C][/ROW]
[ROW][C]0.86[/C][C]107.326532638523[/C][C]1.10046772274705[/C][/ROW]
[ROW][C]0.87[/C][C]107.680267273767[/C][C]1.38615558535597[/C][/ROW]
[ROW][C]0.88[/C][C]108.112866722651[/C][C]1.66246469090104[/C][/ROW]
[ROW][C]0.89[/C][C]108.616191463507[/C][C]1.87973737707469[/C][/ROW]
[ROW][C]0.9[/C][C]109.169592857309[/C][C]1.99006205649439[/C][/ROW]
[ROW][C]0.91[/C][C]109.741992083764[/C][C]1.96239378313223[/C][/ROW]
[ROW][C]0.92[/C][C]110.297131395513[/C][C]1.79498909910302[/C][/ROW]
[ROW][C]0.93[/C][C]110.800470488567[/C][C]1.51765675344577[/C][/ROW]
[ROW][C]0.94[/C][C]111.225400743099[/C][C]1.18147070059833[/C][/ROW]
[ROW][C]0.95[/C][C]111.556931057646[/C][C]0.840219846260039[/C][/ROW]
[ROW][C]0.96[/C][C]111.792500704547[/C][C]0.535134789976234[/C][/ROW]
[ROW][C]0.97[/C][C]111.940839100973[/C][C]0.291482782683113[/C][/ROW]
[ROW][C]0.98[/C][C]112.019660117645[/C][C]0.122948322792239[/C][/ROW]
[ROW][C]0.99[/C][C]112.051883198876[/C][C]0.0311991357659822[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163274&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163274&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
0.0198.19069301172980.00338187596340757
0.0298.19475409479780.0200273192347706
0.0398.20882916810440.0681106011506083
0.0498.24483276222190.169208173624714
0.0598.31911969409860.337422331236624
0.0698.44883712591590.567954939815768
0.0798.64638350297610.832573629955863
0.0898.91422906093891.08577398208967
0.0999.24245608719361.27952934560674
0.199.61017272246171.37863407469545
0.1199.99020952413251.3707926955023
0.12100.3552213625541.26732741949049
0.13100.6830586718611.09644765721278
0.14100.9599487173260.892927006428274
0.15101.18110719930.688669864365085
0.16101.3493164147130.507205325373051
0.17101.4724461979330.361915263369635
0.18101.560856161180.257991668188538
0.19101.6252943221220.196186877989901
0.2101.675524473820.17430979522639
0.21101.7196267259240.185193226212424
0.22101.7637756984210.217611041064844
0.23101.8122867633690.261990608552403
0.24101.8677779089710.311230226061065
0.25101.9313703132770.359560061017634
0.26102.0029100955270.401928244865537
0.27102.0812233400770.434405171979955
0.28102.164418301970.454309780520355
0.29102.2502329055590.460782746450816
0.3102.3364044398620.454846160557914
0.31102.421021772280.439335625358006
0.32102.5028142590260.418692217962628
0.33102.5813371115240.398381507720422
0.34102.6570279806010.384054155744312
0.35102.7311296434250.381106255612968
0.36102.8054942559330.393009676268728
0.37102.8823018352140.420457079418731
0.38102.963737014130.461640352438885
0.39103.051672569760.512130156441989
0.4103.1474056930860.567220818773501
0.41103.2514840547090.621290807990225
0.42103.3636445956630.669526409108303
0.43103.4828703895630.707800171679037
0.44103.6075522877550.733428107582083
0.45103.7357253019090.745311121775485
0.46103.8653378293030.744057755388129
0.47103.9945073477690.731886704627048
0.48104.1217202814570.71190987395378
0.49104.2459457786240.687891842064488
0.5104.3666507523230.663396107653427
0.51104.4837229866520.640922073223307
0.52104.5973262347780.621829939819667
0.53104.7077224599480.605850678285923
0.54104.8150996137890.591732098690209
0.55104.919438480960.577090128491482
0.56105.0204409052670.55973127419724
0.57105.1175272275350.537689972179354
0.58105.2098965318090.509833431844856
0.59105.2966323672280.475907615333654
0.6105.3768308766060.436364231409826
0.61105.4497281310.392598067625178
0.62105.5148079854990.346348091024693
0.63105.5718790478150.299603892044057
0.64105.6211171680460.254513213830866
0.65105.6630762352120.213089471743846
0.66105.6986736777880.177049820771049
0.67105.729157442860.148089497496809
0.68105.7560587765540.1278910737347
0.69105.7811310132960.118286943804519
0.7105.8062705353580.120410250624724
0.71105.8334141057240.134138560539159
0.72105.8644088186060.157756068117889
0.73105.9008582371810.188801641177441
0.74105.9439609697780.224266230416305
0.75105.9943743500510.260777484254233
0.76106.0521525302040.294810256183297
0.77106.1168200135490.323106804211334
0.78106.1876421837810.343779396960488
0.79106.2641369978360.357244146543534
0.8106.3468301408220.367638445398116
0.81106.4381845397920.38452868658889
0.82106.5435341850060.423818945721062
0.83106.6717341014360.504907975745255
0.84106.8351381812090.643522930728922
0.85107.0484990215760.84488433925965
0.86107.3265326385231.10046772274705
0.87107.6802672737671.38615558535597
0.88108.1128667226511.66246469090104
0.89108.6161914635071.87973737707469
0.9109.1695928573091.99006205649439
0.91109.7419920837641.96239378313223
0.92110.2971313955131.79498909910302
0.93110.8004704885671.51765675344577
0.94111.2254007430991.18147070059833
0.95111.5569310576460.840219846260039
0.96111.7925007045470.535134789976234
0.97111.9408391009730.291482782683113
0.98112.0196601176450.122948322792239
0.99112.0518831988760.0311991357659822


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.1 ;
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')