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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, 15 Oct 2009 05:01:42 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2009/Oct/15/t1255604581la160ylkm1fmwn5.htm/, Retrieved Sat, 04 May 2024 08:48:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=46539, Retrieved Sat, 04 May 2024 08:48:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact170

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 verk...] [2009-10-15 11:01:42] [a00bf033610db033bc2faa6c748d42a9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
76.3
71
85.9
109
83.4
101.3
81.6
84.8
88
88.4
85.2
139.5
85.3
79.4
131
91.4
88.2
113.2
81.9
89
95.7
93.2
98
140.5
93
82.1
86.3
84.8
85.7
110.8
87.4
100.4
100.4
99.4
108
161.7
109.3
99.9
110.3
97.5
102.4
122.3
104.4
122.7
127.3
128.4
125.3
187.1
131.4
125.6
142.9
116.6
129.7
155.4
138.7
167.7
155.8
157.1
159.9
244.6
154.3
143.2
147.3
155.1
152.2
166.5
161.2
180.1
169.2
164.5
166.2
267.3

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'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46539&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46539&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46539&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'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0172.62391911081564.61823689825386
0.0274.95376847996673.86294622366915
0.0377.1687261553693.19472989973978
0.0478.93409475287532.61637684545973
0.0580.25474041001252.14219101299432
0.0681.24420483501771.81366591492825
0.0782.01474707229861.63164455885303
0.0882.64807312397931.54352109337224
0.0983.19464404929971.48498210643152
0.183.68122691041791.41819450191387
0.1184.1205426490161.33744517694379
0.1284.51980154722851.25838833885592
0.1384.8861987944931.20335625921181
0.1485.22907655088091.19032584736921
0.1585.55969769759861.22676701158724
0.1685.88996181366111.31070349478318
0.1786.23111560276511.43548125253704
0.1886.59297959624051.59434847915685
0.1986.98374588099981.78279605055924
0.287.41013304680521.9983963864851
0.2187.87761474083022.23921986163329
0.2288.39050455325532.50170265270926
0.2388.95180838735462.77943011568925
0.2489.56288508130333.06242386007452
0.2590.22304697570133.33812224312769
0.2690.9292662398263.59229027509118
0.2791.67613122258333.81147621527939
0.2892.45613523212453.98535408469807
0.2993.26030044648814.10734919146182
0.394.0790643172214.17682101263545
0.3194.9033012447154.19832321498464
0.3295.72532673258754.18251119751771
0.3396.5397354475594.14397863806566
0.3497.34395423738424.100196355808
0.3598.1384390325294.06921696974634
0.3698.92650224897484.06715982938028
0.3799.71381573184224.10656571818496
0.38100.5076840348254.19365424968959
0.39101.3162150298274.32918047966823
0.4102.1475226961534.50863875536818
0.41103.0090777950354.72405135006866
0.42103.9072791299364.96632871975118
0.43104.8472605106055.22746906478726
0.44105.8328902977585.50097550328112
0.45106.8668767597325.7827080694853
0.46107.9508757412886.06914467811785
0.47109.0855127744616.35675336205279
0.48110.2702760898776.6399905382553
0.49111.5032976384106.91073203108509
0.5112.7810982577767.15806597796412
0.51114.0984120717307.36929141108495
0.52115.4482106628797.53185638828619
0.53116.82201532457.63636861833942
0.54118.2105223996527.67788618887641
0.55119.6044882001467.65843026271215
0.56120.9957470108827.58736643135968
0.57122.3781881460257.48022180681956
0.58123.7485095435427.35730001534515
0.59125.1065995533377.24042133801642
0.6126.4554679505957.14983794059592
0.61127.8007351783157.1002872579195
0.62129.1497738000497.09933841902227
0.63130.5106570590427.14636927431033
0.64131.8910913202577.23332287279038
0.65133.2974874868637.34760825190574
0.66134.7342690969437.47440083763501
0.67136.2034406525167.59849335974906
0.68137.7043739304757.70672556016916
0.69139.2337361306247.78716219073823
0.7140.785495023167.82845006501728
0.71142.3509890828207.81989229244181
0.72143.9191227240827.75026892994651
0.73145.4768031054197.61022941400939
0.74147.0097400808057.3932987391391
0.75148.5036645086957.09956126485251
0.76149.9458898927406.73798139397033
0.77151.3269867447976.32718785896088
0.78152.6422173784685.89460696207798
0.79153.8923494920445.47198215932836
0.8155.0835627248635.09002677924797
0.81156.2263744241464.77150466203289
0.82157.3337905916034.52588454404505
0.83158.4191690912434.34719990568092
0.84159.4945113583284.21816203513389
0.85160.5700560618174.11755747708044
0.86161.6561423525814.0300613883307
0.87162.7683597772533.95833273393673
0.88163.9370450754743.93617175253545
0.89165.2223721474854.04690712003089
0.9166.7369662878094.43879130252981
0.91168.6793875484025.3253485135942
0.92171.3824707521066.97883308721586
0.93175.3740400106619.76301486281368
0.94181.42151447517914.1499525760048
0.95190.47790725907120.4539288323693
0.96203.38813985330728.0147778124059
0.97220.23160408953934.1891159715455
0.98239.38168214859334.8472205444404
0.99256.85141904194028.6981589675386

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 72.6239191108156 & 4.61823689825386 \tabularnewline
0.02 & 74.9537684799667 & 3.86294622366915 \tabularnewline
0.03 & 77.168726155369 & 3.19472989973978 \tabularnewline
0.04 & 78.9340947528753 & 2.61637684545973 \tabularnewline
0.05 & 80.2547404100125 & 2.14219101299432 \tabularnewline
0.06 & 81.2442048350177 & 1.81366591492825 \tabularnewline
0.07 & 82.0147470722986 & 1.63164455885303 \tabularnewline
0.08 & 82.6480731239793 & 1.54352109337224 \tabularnewline
0.09 & 83.1946440492997 & 1.48498210643152 \tabularnewline
0.1 & 83.6812269104179 & 1.41819450191387 \tabularnewline
0.11 & 84.120542649016 & 1.33744517694379 \tabularnewline
0.12 & 84.5198015472285 & 1.25838833885592 \tabularnewline
0.13 & 84.886198794493 & 1.20335625921181 \tabularnewline
0.14 & 85.2290765508809 & 1.19032584736921 \tabularnewline
0.15 & 85.5596976975986 & 1.22676701158724 \tabularnewline
0.16 & 85.8899618136611 & 1.31070349478318 \tabularnewline
0.17 & 86.2311156027651 & 1.43548125253704 \tabularnewline
0.18 & 86.5929795962405 & 1.59434847915685 \tabularnewline
0.19 & 86.9837458809998 & 1.78279605055924 \tabularnewline
0.2 & 87.4101330468052 & 1.9983963864851 \tabularnewline
0.21 & 87.8776147408302 & 2.23921986163329 \tabularnewline
0.22 & 88.3905045532553 & 2.50170265270926 \tabularnewline
0.23 & 88.9518083873546 & 2.77943011568925 \tabularnewline
0.24 & 89.5628850813033 & 3.06242386007452 \tabularnewline
0.25 & 90.2230469757013 & 3.33812224312769 \tabularnewline
0.26 & 90.929266239826 & 3.59229027509118 \tabularnewline
0.27 & 91.6761312225833 & 3.81147621527939 \tabularnewline
0.28 & 92.4561352321245 & 3.98535408469807 \tabularnewline
0.29 & 93.2603004464881 & 4.10734919146182 \tabularnewline
0.3 & 94.079064317221 & 4.17682101263545 \tabularnewline
0.31 & 94.903301244715 & 4.19832321498464 \tabularnewline
0.32 & 95.7253267325875 & 4.18251119751771 \tabularnewline
0.33 & 96.539735447559 & 4.14397863806566 \tabularnewline
0.34 & 97.3439542373842 & 4.100196355808 \tabularnewline
0.35 & 98.138439032529 & 4.06921696974634 \tabularnewline
0.36 & 98.9265022489748 & 4.06715982938028 \tabularnewline
0.37 & 99.7138157318422 & 4.10656571818496 \tabularnewline
0.38 & 100.507684034825 & 4.19365424968959 \tabularnewline
0.39 & 101.316215029827 & 4.32918047966823 \tabularnewline
0.4 & 102.147522696153 & 4.50863875536818 \tabularnewline
0.41 & 103.009077795035 & 4.72405135006866 \tabularnewline
0.42 & 103.907279129936 & 4.96632871975118 \tabularnewline
0.43 & 104.847260510605 & 5.22746906478726 \tabularnewline
0.44 & 105.832890297758 & 5.50097550328112 \tabularnewline
0.45 & 106.866876759732 & 5.7827080694853 \tabularnewline
0.46 & 107.950875741288 & 6.06914467811785 \tabularnewline
0.47 & 109.085512774461 & 6.35675336205279 \tabularnewline
0.48 & 110.270276089877 & 6.6399905382553 \tabularnewline
0.49 & 111.503297638410 & 6.91073203108509 \tabularnewline
0.5 & 112.781098257776 & 7.15806597796412 \tabularnewline
0.51 & 114.098412071730 & 7.36929141108495 \tabularnewline
0.52 & 115.448210662879 & 7.53185638828619 \tabularnewline
0.53 & 116.8220153245 & 7.63636861833942 \tabularnewline
0.54 & 118.210522399652 & 7.67788618887641 \tabularnewline
0.55 & 119.604488200146 & 7.65843026271215 \tabularnewline
0.56 & 120.995747010882 & 7.58736643135968 \tabularnewline
0.57 & 122.378188146025 & 7.48022180681956 \tabularnewline
0.58 & 123.748509543542 & 7.35730001534515 \tabularnewline
0.59 & 125.106599553337 & 7.24042133801642 \tabularnewline
0.6 & 126.455467950595 & 7.14983794059592 \tabularnewline
0.61 & 127.800735178315 & 7.1002872579195 \tabularnewline
0.62 & 129.149773800049 & 7.09933841902227 \tabularnewline
0.63 & 130.510657059042 & 7.14636927431033 \tabularnewline
0.64 & 131.891091320257 & 7.23332287279038 \tabularnewline
0.65 & 133.297487486863 & 7.34760825190574 \tabularnewline
0.66 & 134.734269096943 & 7.47440083763501 \tabularnewline
0.67 & 136.203440652516 & 7.59849335974906 \tabularnewline
0.68 & 137.704373930475 & 7.70672556016916 \tabularnewline
0.69 & 139.233736130624 & 7.78716219073823 \tabularnewline
0.7 & 140.78549502316 & 7.82845006501728 \tabularnewline
0.71 & 142.350989082820 & 7.81989229244181 \tabularnewline
0.72 & 143.919122724082 & 7.75026892994651 \tabularnewline
0.73 & 145.476803105419 & 7.61022941400939 \tabularnewline
0.74 & 147.009740080805 & 7.3932987391391 \tabularnewline
0.75 & 148.503664508695 & 7.09956126485251 \tabularnewline
0.76 & 149.945889892740 & 6.73798139397033 \tabularnewline
0.77 & 151.326986744797 & 6.32718785896088 \tabularnewline
0.78 & 152.642217378468 & 5.89460696207798 \tabularnewline
0.79 & 153.892349492044 & 5.47198215932836 \tabularnewline
0.8 & 155.083562724863 & 5.09002677924797 \tabularnewline
0.81 & 156.226374424146 & 4.77150466203289 \tabularnewline
0.82 & 157.333790591603 & 4.52588454404505 \tabularnewline
0.83 & 158.419169091243 & 4.34719990568092 \tabularnewline
0.84 & 159.494511358328 & 4.21816203513389 \tabularnewline
0.85 & 160.570056061817 & 4.11755747708044 \tabularnewline
0.86 & 161.656142352581 & 4.0300613883307 \tabularnewline
0.87 & 162.768359777253 & 3.95833273393673 \tabularnewline
0.88 & 163.937045075474 & 3.93617175253545 \tabularnewline
0.89 & 165.222372147485 & 4.04690712003089 \tabularnewline
0.9 & 166.736966287809 & 4.43879130252981 \tabularnewline
0.91 & 168.679387548402 & 5.3253485135942 \tabularnewline
0.92 & 171.382470752106 & 6.97883308721586 \tabularnewline
0.93 & 175.374040010661 & 9.76301486281368 \tabularnewline
0.94 & 181.421514475179 & 14.1499525760048 \tabularnewline
0.95 & 190.477907259071 & 20.4539288323693 \tabularnewline
0.96 & 203.388139853307 & 28.0147778124059 \tabularnewline
0.97 & 220.231604089539 & 34.1891159715455 \tabularnewline
0.98 & 239.381682148593 & 34.8472205444404 \tabularnewline
0.99 & 256.851419041940 & 28.6981589675386 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=46539&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]72.6239191108156[/C][C]4.61823689825386[/C][/ROW]
[ROW][C]0.02[/C][C]74.9537684799667[/C][C]3.86294622366915[/C][/ROW]
[ROW][C]0.03[/C][C]77.168726155369[/C][C]3.19472989973978[/C][/ROW]
[ROW][C]0.04[/C][C]78.9340947528753[/C][C]2.61637684545973[/C][/ROW]
[ROW][C]0.05[/C][C]80.2547404100125[/C][C]2.14219101299432[/C][/ROW]
[ROW][C]0.06[/C][C]81.2442048350177[/C][C]1.81366591492825[/C][/ROW]
[ROW][C]0.07[/C][C]82.0147470722986[/C][C]1.63164455885303[/C][/ROW]
[ROW][C]0.08[/C][C]82.6480731239793[/C][C]1.54352109337224[/C][/ROW]
[ROW][C]0.09[/C][C]83.1946440492997[/C][C]1.48498210643152[/C][/ROW]
[ROW][C]0.1[/C][C]83.6812269104179[/C][C]1.41819450191387[/C][/ROW]
[ROW][C]0.11[/C][C]84.120542649016[/C][C]1.33744517694379[/C][/ROW]
[ROW][C]0.12[/C][C]84.5198015472285[/C][C]1.25838833885592[/C][/ROW]
[ROW][C]0.13[/C][C]84.886198794493[/C][C]1.20335625921181[/C][/ROW]
[ROW][C]0.14[/C][C]85.2290765508809[/C][C]1.19032584736921[/C][/ROW]
[ROW][C]0.15[/C][C]85.5596976975986[/C][C]1.22676701158724[/C][/ROW]
[ROW][C]0.16[/C][C]85.8899618136611[/C][C]1.31070349478318[/C][/ROW]
[ROW][C]0.17[/C][C]86.2311156027651[/C][C]1.43548125253704[/C][/ROW]
[ROW][C]0.18[/C][C]86.5929795962405[/C][C]1.59434847915685[/C][/ROW]
[ROW][C]0.19[/C][C]86.9837458809998[/C][C]1.78279605055924[/C][/ROW]
[ROW][C]0.2[/C][C]87.4101330468052[/C][C]1.9983963864851[/C][/ROW]
[ROW][C]0.21[/C][C]87.8776147408302[/C][C]2.23921986163329[/C][/ROW]
[ROW][C]0.22[/C][C]88.3905045532553[/C][C]2.50170265270926[/C][/ROW]
[ROW][C]0.23[/C][C]88.9518083873546[/C][C]2.77943011568925[/C][/ROW]
[ROW][C]0.24[/C][C]89.5628850813033[/C][C]3.06242386007452[/C][/ROW]
[ROW][C]0.25[/C][C]90.2230469757013[/C][C]3.33812224312769[/C][/ROW]
[ROW][C]0.26[/C][C]90.929266239826[/C][C]3.59229027509118[/C][/ROW]
[ROW][C]0.27[/C][C]91.6761312225833[/C][C]3.81147621527939[/C][/ROW]
[ROW][C]0.28[/C][C]92.4561352321245[/C][C]3.98535408469807[/C][/ROW]
[ROW][C]0.29[/C][C]93.2603004464881[/C][C]4.10734919146182[/C][/ROW]
[ROW][C]0.3[/C][C]94.079064317221[/C][C]4.17682101263545[/C][/ROW]
[ROW][C]0.31[/C][C]94.903301244715[/C][C]4.19832321498464[/C][/ROW]
[ROW][C]0.32[/C][C]95.7253267325875[/C][C]4.18251119751771[/C][/ROW]
[ROW][C]0.33[/C][C]96.539735447559[/C][C]4.14397863806566[/C][/ROW]
[ROW][C]0.34[/C][C]97.3439542373842[/C][C]4.100196355808[/C][/ROW]
[ROW][C]0.35[/C][C]98.138439032529[/C][C]4.06921696974634[/C][/ROW]
[ROW][C]0.36[/C][C]98.9265022489748[/C][C]4.06715982938028[/C][/ROW]
[ROW][C]0.37[/C][C]99.7138157318422[/C][C]4.10656571818496[/C][/ROW]
[ROW][C]0.38[/C][C]100.507684034825[/C][C]4.19365424968959[/C][/ROW]
[ROW][C]0.39[/C][C]101.316215029827[/C][C]4.32918047966823[/C][/ROW]
[ROW][C]0.4[/C][C]102.147522696153[/C][C]4.50863875536818[/C][/ROW]
[ROW][C]0.41[/C][C]103.009077795035[/C][C]4.72405135006866[/C][/ROW]
[ROW][C]0.42[/C][C]103.907279129936[/C][C]4.96632871975118[/C][/ROW]
[ROW][C]0.43[/C][C]104.847260510605[/C][C]5.22746906478726[/C][/ROW]
[ROW][C]0.44[/C][C]105.832890297758[/C][C]5.50097550328112[/C][/ROW]
[ROW][C]0.45[/C][C]106.866876759732[/C][C]5.7827080694853[/C][/ROW]
[ROW][C]0.46[/C][C]107.950875741288[/C][C]6.06914467811785[/C][/ROW]
[ROW][C]0.47[/C][C]109.085512774461[/C][C]6.35675336205279[/C][/ROW]
[ROW][C]0.48[/C][C]110.270276089877[/C][C]6.6399905382553[/C][/ROW]
[ROW][C]0.49[/C][C]111.503297638410[/C][C]6.91073203108509[/C][/ROW]
[ROW][C]0.5[/C][C]112.781098257776[/C][C]7.15806597796412[/C][/ROW]
[ROW][C]0.51[/C][C]114.098412071730[/C][C]7.36929141108495[/C][/ROW]
[ROW][C]0.52[/C][C]115.448210662879[/C][C]7.53185638828619[/C][/ROW]
[ROW][C]0.53[/C][C]116.8220153245[/C][C]7.63636861833942[/C][/ROW]
[ROW][C]0.54[/C][C]118.210522399652[/C][C]7.67788618887641[/C][/ROW]
[ROW][C]0.55[/C][C]119.604488200146[/C][C]7.65843026271215[/C][/ROW]
[ROW][C]0.56[/C][C]120.995747010882[/C][C]7.58736643135968[/C][/ROW]
[ROW][C]0.57[/C][C]122.378188146025[/C][C]7.48022180681956[/C][/ROW]
[ROW][C]0.58[/C][C]123.748509543542[/C][C]7.35730001534515[/C][/ROW]
[ROW][C]0.59[/C][C]125.106599553337[/C][C]7.24042133801642[/C][/ROW]
[ROW][C]0.6[/C][C]126.455467950595[/C][C]7.14983794059592[/C][/ROW]
[ROW][C]0.61[/C][C]127.800735178315[/C][C]7.1002872579195[/C][/ROW]
[ROW][C]0.62[/C][C]129.149773800049[/C][C]7.09933841902227[/C][/ROW]
[ROW][C]0.63[/C][C]130.510657059042[/C][C]7.14636927431033[/C][/ROW]
[ROW][C]0.64[/C][C]131.891091320257[/C][C]7.23332287279038[/C][/ROW]
[ROW][C]0.65[/C][C]133.297487486863[/C][C]7.34760825190574[/C][/ROW]
[ROW][C]0.66[/C][C]134.734269096943[/C][C]7.47440083763501[/C][/ROW]
[ROW][C]0.67[/C][C]136.203440652516[/C][C]7.59849335974906[/C][/ROW]
[ROW][C]0.68[/C][C]137.704373930475[/C][C]7.70672556016916[/C][/ROW]
[ROW][C]0.69[/C][C]139.233736130624[/C][C]7.78716219073823[/C][/ROW]
[ROW][C]0.7[/C][C]140.78549502316[/C][C]7.82845006501728[/C][/ROW]
[ROW][C]0.71[/C][C]142.350989082820[/C][C]7.81989229244181[/C][/ROW]
[ROW][C]0.72[/C][C]143.919122724082[/C][C]7.75026892994651[/C][/ROW]
[ROW][C]0.73[/C][C]145.476803105419[/C][C]7.61022941400939[/C][/ROW]
[ROW][C]0.74[/C][C]147.009740080805[/C][C]7.3932987391391[/C][/ROW]
[ROW][C]0.75[/C][C]148.503664508695[/C][C]7.09956126485251[/C][/ROW]
[ROW][C]0.76[/C][C]149.945889892740[/C][C]6.73798139397033[/C][/ROW]
[ROW][C]0.77[/C][C]151.326986744797[/C][C]6.32718785896088[/C][/ROW]
[ROW][C]0.78[/C][C]152.642217378468[/C][C]5.89460696207798[/C][/ROW]
[ROW][C]0.79[/C][C]153.892349492044[/C][C]5.47198215932836[/C][/ROW]
[ROW][C]0.8[/C][C]155.083562724863[/C][C]5.09002677924797[/C][/ROW]
[ROW][C]0.81[/C][C]156.226374424146[/C][C]4.77150466203289[/C][/ROW]
[ROW][C]0.82[/C][C]157.333790591603[/C][C]4.52588454404505[/C][/ROW]
[ROW][C]0.83[/C][C]158.419169091243[/C][C]4.34719990568092[/C][/ROW]
[ROW][C]0.84[/C][C]159.494511358328[/C][C]4.21816203513389[/C][/ROW]
[ROW][C]0.85[/C][C]160.570056061817[/C][C]4.11755747708044[/C][/ROW]
[ROW][C]0.86[/C][C]161.656142352581[/C][C]4.0300613883307[/C][/ROW]
[ROW][C]0.87[/C][C]162.768359777253[/C][C]3.95833273393673[/C][/ROW]
[ROW][C]0.88[/C][C]163.937045075474[/C][C]3.93617175253545[/C][/ROW]
[ROW][C]0.89[/C][C]165.222372147485[/C][C]4.04690712003089[/C][/ROW]
[ROW][C]0.9[/C][C]166.736966287809[/C][C]4.43879130252981[/C][/ROW]
[ROW][C]0.91[/C][C]168.679387548402[/C][C]5.3253485135942[/C][/ROW]
[ROW][C]0.92[/C][C]171.382470752106[/C][C]6.97883308721586[/C][/ROW]
[ROW][C]0.93[/C][C]175.374040010661[/C][C]9.76301486281368[/C][/ROW]
[ROW][C]0.94[/C][C]181.421514475179[/C][C]14.1499525760048[/C][/ROW]
[ROW][C]0.95[/C][C]190.477907259071[/C][C]20.4539288323693[/C][/ROW]
[ROW][C]0.96[/C][C]203.388139853307[/C][C]28.0147778124059[/C][/ROW]
[ROW][C]0.97[/C][C]220.231604089539[/C][C]34.1891159715455[/C][/ROW]
[ROW][C]0.98[/C][C]239.381682148593[/C][C]34.8472205444404[/C][/ROW]
[ROW][C]0.99[/C][C]256.851419041940[/C][C]28.6981589675386[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=46539&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=46539&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
0.0172.62391911081564.61823689825386
0.0274.95376847996673.86294622366915
0.0377.1687261553693.19472989973978
0.0478.93409475287532.61637684545973
0.0580.25474041001252.14219101299432
0.0681.24420483501771.81366591492825
0.0782.01474707229861.63164455885303
0.0882.64807312397931.54352109337224
0.0983.19464404929971.48498210643152
0.183.68122691041791.41819450191387
0.1184.1205426490161.33744517694379
0.1284.51980154722851.25838833885592
0.1384.8861987944931.20335625921181
0.1485.22907655088091.19032584736921
0.1585.55969769759861.22676701158724
0.1685.88996181366111.31070349478318
0.1786.23111560276511.43548125253704
0.1886.59297959624051.59434847915685
0.1986.98374588099981.78279605055924
0.287.41013304680521.9983963864851
0.2187.87761474083022.23921986163329
0.2288.39050455325532.50170265270926
0.2388.95180838735462.77943011568925
0.2489.56288508130333.06242386007452
0.2590.22304697570133.33812224312769
0.2690.9292662398263.59229027509118
0.2791.67613122258333.81147621527939
0.2892.45613523212453.98535408469807
0.2993.26030044648814.10734919146182
0.394.0790643172214.17682101263545
0.3194.9033012447154.19832321498464
0.3295.72532673258754.18251119751771
0.3396.5397354475594.14397863806566
0.3497.34395423738424.100196355808
0.3598.1384390325294.06921696974634
0.3698.92650224897484.06715982938028
0.3799.71381573184224.10656571818496
0.38100.5076840348254.19365424968959
0.39101.3162150298274.32918047966823
0.4102.1475226961534.50863875536818
0.41103.0090777950354.72405135006866
0.42103.9072791299364.96632871975118
0.43104.8472605106055.22746906478726
0.44105.8328902977585.50097550328112
0.45106.8668767597325.7827080694853
0.46107.9508757412886.06914467811785
0.47109.0855127744616.35675336205279
0.48110.2702760898776.6399905382553
0.49111.5032976384106.91073203108509
0.5112.7810982577767.15806597796412
0.51114.0984120717307.36929141108495
0.52115.4482106628797.53185638828619
0.53116.82201532457.63636861833942
0.54118.2105223996527.67788618887641
0.55119.6044882001467.65843026271215
0.56120.9957470108827.58736643135968
0.57122.3781881460257.48022180681956
0.58123.7485095435427.35730001534515
0.59125.1065995533377.24042133801642
0.6126.4554679505957.14983794059592
0.61127.8007351783157.1002872579195
0.62129.1497738000497.09933841902227
0.63130.5106570590427.14636927431033
0.64131.8910913202577.23332287279038
0.65133.2974874868637.34760825190574
0.66134.7342690969437.47440083763501
0.67136.2034406525167.59849335974906
0.68137.7043739304757.70672556016916
0.69139.2337361306247.78716219073823
0.7140.785495023167.82845006501728
0.71142.3509890828207.81989229244181
0.72143.9191227240827.75026892994651
0.73145.4768031054197.61022941400939
0.74147.0097400808057.3932987391391
0.75148.5036645086957.09956126485251
0.76149.9458898927406.73798139397033
0.77151.3269867447976.32718785896088
0.78152.6422173784685.89460696207798
0.79153.8923494920445.47198215932836
0.8155.0835627248635.09002677924797
0.81156.2263744241464.77150466203289
0.82157.3337905916034.52588454404505
0.83158.4191690912434.34719990568092
0.84159.4945113583284.21816203513389
0.85160.5700560618174.11755747708044
0.86161.6561423525814.0300613883307
0.87162.7683597772533.95833273393673
0.88163.9370450754743.93617175253545
0.89165.2223721474854.04690712003089
0.9166.7369662878094.43879130252981
0.91168.6793875484025.3253485135942
0.92171.3824707521066.97883308721586
0.93175.3740400106619.76301486281368
0.94181.42151447517914.1499525760048
0.95190.47790725907120.4539288323693
0.96203.38813985330728.0147778124059
0.97220.23160408953934.1891159715455
0.98239.38168214859334.8472205444404
0.99256.85141904194028.6981589675386


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')