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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 computationSun, 02 Mar 2008 10:19:36 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t1204478894ahwddvjti4nxico.htm/, Retrieved Mon, 06 May 2024 19:55:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9625, Retrieved Mon, 06 May 2024 19:55:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact153

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] [Cijferreeks - Har...] [2008-03-02 17:19:36] [e744b461908af7c125bdbb2f3548f5e0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
90,2
94,3
96
99
103,3
113,1
112,8
112,1
107,4
111
110,5
110,8
112,4
111,5
116,2
122,5
121,3
113,9
110,7
120,8
141,1
147,4
148
158,1
165
187
190,3
182,4
168,8
151,2
120,1
112,5
106,2
107,1
108,5
106,5
108,3
125,6
124
127,2
136,9
135,8
124,3
115,4
113,6
114,4
118,4
117
116,5
115,4
113,6
117,4
116,9
116,4
111,1
110,2
118,9
131,8
130,6
138,3
148,4
148,7
144,3
152,5
162,9
167,2
166,5
185,6
193,2
207,8
223,4
246,4

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9625&T=0

[TABLE]
[ROW][C]Summary of compuational 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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9625&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9625&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0191.47529404383383.60964297600895
0.0293.41410316185523.39885268305928
0.0395.50037950740173.67732157165582
0.0497.52841151293914.09597806366761
0.0599.45066677668044.29656720539154
0.06101.2291332429604.16340815207135
0.07102.8121434626293.75878317414665
0.08104.1622544419823.22216285257430
0.09105.2750618786962.69090770378888
0.1106.1769417155462.25749074871796
0.11106.9111941967951.95649976771516
0.12107.5233455264551.77354121116776
0.13108.0513118312251.66756194790111
0.14108.5215014615661.59591635403032
0.15108.9494207037951.52857399597666
0.16109.3426435340511.45145411194052
0.17109.7043250849181.36301579601078
0.18110.0361211083341.26989264080865
0.19110.3400346754141.18205245480577
0.2110.6191875990891.10862781996439
0.21110.8777820661771.05564427049843
0.22111.1206111417081.02467055822132
0.23111.3524475011311.01323252226529
0.24111.5775419785051.01712930031646
0.25111.7993448168491.03128369910320
0.26112.0204584134631.05214921105428
0.27112.2427612100311.07762886693975
0.28112.4676134915251.10691052186513
0.29112.6960609916931.13976399239064
0.3112.9289788777391.17691788578539
0.31113.1671333465281.21801507804250
0.32113.4111696971841.26239263439544
0.33113.6615575199641.30878197433299
0.34113.9185329152141.35525574148271
0.35114.1820750584231.39993990777312
0.36114.4519426969141.44135670459530
0.37114.7277791334981.47884862731154
0.38115.0092760848201.51311477184487
0.39115.2963714001971.54641981078584
0.4115.5894461173941.58208634795931
0.41115.8894845980741.62453057132846
0.42116.1981678216021.67867446742069
0.43116.5178829297101.74891225963944
0.44116.8516489699611.83872582191932
0.45117.2029757795541.94992677351756
0.46117.5756863107882.08335216087520
0.47117.9737394167092.23820289835716
0.48118.4010886065002.41312860014280
0.49118.8616027273062.60661194289894
0.5119.3590588362382.81769233534607
0.51119.8971989221943.04599192773463
0.52120.4798245285263.2924393717052
0.53121.1108905360283.55851902911796
0.54121.7945543786873.84571128249212
0.55122.5351413142074.15535769689315
0.56123.3369997344404.48739619317819
0.57124.2042406134364.83953836458621
0.58125.1403781589725.20690058268199
0.59126.1479097852345.58234235203531
0.6127.2278881450645.95561999482836
0.61128.3795431877036.31509630975764
0.62129.6000076933686.64827532630544
0.63130.8841880831296.94262802862304
0.64132.2248083018517.18706497571831
0.65133.6126432902887.37175206760565
0.66135.0369527759777.49035278167061
0.67136.4861240936657.53970781385079
0.68137.9485276510537.5213004327827
0.69139.4135704801467.44088704802266
0.7140.8728935105597.31143170242618
0.71142.3215957927187.15160168984452
0.72143.7592957384956.98647575213768
0.73145.1907816938536.84559279729991
0.74146.6259975648766.75900805009252
0.75148.0791875116866.75120111913085
0.76149.5672019631086.83409017961873
0.77151.1072248704667.00250514700424
0.78152.7144530352837.23373110556696
0.79154.4004354587157.49432070435933
0.8156.1727422385777.75016104034914
0.81158.0362912646617.9788231248481
0.82159.9960275982978.17881859095743
0.83162.0598896382368.37237719460714
0.84164.2404379278878.59621445512314
0.85166.5535882801488.88077876714264
0.86169.0139149846459.2229775296627
0.87171.6279688656159.57000386112439
0.88174.3894345289799.82948977315398
0.89177.2816063083389.90966859090365
0.9180.2921962604289.77772125329684
0.91183.4418545933019.51927554956264
0.92186.8211381045649.3729318925376
0.93190.6233013981409.6943937158303
0.94195.15705425241410.7787541282686
0.95200.82844274146812.6128901018134
0.96208.08341734210814.8173581932618
0.97217.25521115205016.8936101354695
0.98228.12575091645118.7295891596196
0.99239.03805739259920.7740680908239

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 91.4752940438338 & 3.60964297600895 \tabularnewline
0.02 & 93.4141031618552 & 3.39885268305928 \tabularnewline
0.03 & 95.5003795074017 & 3.67732157165582 \tabularnewline
0.04 & 97.5284115129391 & 4.09597806366761 \tabularnewline
0.05 & 99.4506667766804 & 4.29656720539154 \tabularnewline
0.06 & 101.229133242960 & 4.16340815207135 \tabularnewline
0.07 & 102.812143462629 & 3.75878317414665 \tabularnewline
0.08 & 104.162254441982 & 3.22216285257430 \tabularnewline
0.09 & 105.275061878696 & 2.69090770378888 \tabularnewline
0.1 & 106.176941715546 & 2.25749074871796 \tabularnewline
0.11 & 106.911194196795 & 1.95649976771516 \tabularnewline
0.12 & 107.523345526455 & 1.77354121116776 \tabularnewline
0.13 & 108.051311831225 & 1.66756194790111 \tabularnewline
0.14 & 108.521501461566 & 1.59591635403032 \tabularnewline
0.15 & 108.949420703795 & 1.52857399597666 \tabularnewline
0.16 & 109.342643534051 & 1.45145411194052 \tabularnewline
0.17 & 109.704325084918 & 1.36301579601078 \tabularnewline
0.18 & 110.036121108334 & 1.26989264080865 \tabularnewline
0.19 & 110.340034675414 & 1.18205245480577 \tabularnewline
0.2 & 110.619187599089 & 1.10862781996439 \tabularnewline
0.21 & 110.877782066177 & 1.05564427049843 \tabularnewline
0.22 & 111.120611141708 & 1.02467055822132 \tabularnewline
0.23 & 111.352447501131 & 1.01323252226529 \tabularnewline
0.24 & 111.577541978505 & 1.01712930031646 \tabularnewline
0.25 & 111.799344816849 & 1.03128369910320 \tabularnewline
0.26 & 112.020458413463 & 1.05214921105428 \tabularnewline
0.27 & 112.242761210031 & 1.07762886693975 \tabularnewline
0.28 & 112.467613491525 & 1.10691052186513 \tabularnewline
0.29 & 112.696060991693 & 1.13976399239064 \tabularnewline
0.3 & 112.928978877739 & 1.17691788578539 \tabularnewline
0.31 & 113.167133346528 & 1.21801507804250 \tabularnewline
0.32 & 113.411169697184 & 1.26239263439544 \tabularnewline
0.33 & 113.661557519964 & 1.30878197433299 \tabularnewline
0.34 & 113.918532915214 & 1.35525574148271 \tabularnewline
0.35 & 114.182075058423 & 1.39993990777312 \tabularnewline
0.36 & 114.451942696914 & 1.44135670459530 \tabularnewline
0.37 & 114.727779133498 & 1.47884862731154 \tabularnewline
0.38 & 115.009276084820 & 1.51311477184487 \tabularnewline
0.39 & 115.296371400197 & 1.54641981078584 \tabularnewline
0.4 & 115.589446117394 & 1.58208634795931 \tabularnewline
0.41 & 115.889484598074 & 1.62453057132846 \tabularnewline
0.42 & 116.198167821602 & 1.67867446742069 \tabularnewline
0.43 & 116.517882929710 & 1.74891225963944 \tabularnewline
0.44 & 116.851648969961 & 1.83872582191932 \tabularnewline
0.45 & 117.202975779554 & 1.94992677351756 \tabularnewline
0.46 & 117.575686310788 & 2.08335216087520 \tabularnewline
0.47 & 117.973739416709 & 2.23820289835716 \tabularnewline
0.48 & 118.401088606500 & 2.41312860014280 \tabularnewline
0.49 & 118.861602727306 & 2.60661194289894 \tabularnewline
0.5 & 119.359058836238 & 2.81769233534607 \tabularnewline
0.51 & 119.897198922194 & 3.04599192773463 \tabularnewline
0.52 & 120.479824528526 & 3.2924393717052 \tabularnewline
0.53 & 121.110890536028 & 3.55851902911796 \tabularnewline
0.54 & 121.794554378687 & 3.84571128249212 \tabularnewline
0.55 & 122.535141314207 & 4.15535769689315 \tabularnewline
0.56 & 123.336999734440 & 4.48739619317819 \tabularnewline
0.57 & 124.204240613436 & 4.83953836458621 \tabularnewline
0.58 & 125.140378158972 & 5.20690058268199 \tabularnewline
0.59 & 126.147909785234 & 5.58234235203531 \tabularnewline
0.6 & 127.227888145064 & 5.95561999482836 \tabularnewline
0.61 & 128.379543187703 & 6.31509630975764 \tabularnewline
0.62 & 129.600007693368 & 6.64827532630544 \tabularnewline
0.63 & 130.884188083129 & 6.94262802862304 \tabularnewline
0.64 & 132.224808301851 & 7.18706497571831 \tabularnewline
0.65 & 133.612643290288 & 7.37175206760565 \tabularnewline
0.66 & 135.036952775977 & 7.49035278167061 \tabularnewline
0.67 & 136.486124093665 & 7.53970781385079 \tabularnewline
0.68 & 137.948527651053 & 7.5213004327827 \tabularnewline
0.69 & 139.413570480146 & 7.44088704802266 \tabularnewline
0.7 & 140.872893510559 & 7.31143170242618 \tabularnewline
0.71 & 142.321595792718 & 7.15160168984452 \tabularnewline
0.72 & 143.759295738495 & 6.98647575213768 \tabularnewline
0.73 & 145.190781693853 & 6.84559279729991 \tabularnewline
0.74 & 146.625997564876 & 6.75900805009252 \tabularnewline
0.75 & 148.079187511686 & 6.75120111913085 \tabularnewline
0.76 & 149.567201963108 & 6.83409017961873 \tabularnewline
0.77 & 151.107224870466 & 7.00250514700424 \tabularnewline
0.78 & 152.714453035283 & 7.23373110556696 \tabularnewline
0.79 & 154.400435458715 & 7.49432070435933 \tabularnewline
0.8 & 156.172742238577 & 7.75016104034914 \tabularnewline
0.81 & 158.036291264661 & 7.9788231248481 \tabularnewline
0.82 & 159.996027598297 & 8.17881859095743 \tabularnewline
0.83 & 162.059889638236 & 8.37237719460714 \tabularnewline
0.84 & 164.240437927887 & 8.59621445512314 \tabularnewline
0.85 & 166.553588280148 & 8.88077876714264 \tabularnewline
0.86 & 169.013914984645 & 9.2229775296627 \tabularnewline
0.87 & 171.627968865615 & 9.57000386112439 \tabularnewline
0.88 & 174.389434528979 & 9.82948977315398 \tabularnewline
0.89 & 177.281606308338 & 9.90966859090365 \tabularnewline
0.9 & 180.292196260428 & 9.77772125329684 \tabularnewline
0.91 & 183.441854593301 & 9.51927554956264 \tabularnewline
0.92 & 186.821138104564 & 9.3729318925376 \tabularnewline
0.93 & 190.623301398140 & 9.6943937158303 \tabularnewline
0.94 & 195.157054252414 & 10.7787541282686 \tabularnewline
0.95 & 200.828442741468 & 12.6128901018134 \tabularnewline
0.96 & 208.083417342108 & 14.8173581932618 \tabularnewline
0.97 & 217.255211152050 & 16.8936101354695 \tabularnewline
0.98 & 228.125750916451 & 18.7295891596196 \tabularnewline
0.99 & 239.038057392599 & 20.7740680908239 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9625&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]91.4752940438338[/C][C]3.60964297600895[/C][/ROW]
[ROW][C]0.02[/C][C]93.4141031618552[/C][C]3.39885268305928[/C][/ROW]
[ROW][C]0.03[/C][C]95.5003795074017[/C][C]3.67732157165582[/C][/ROW]
[ROW][C]0.04[/C][C]97.5284115129391[/C][C]4.09597806366761[/C][/ROW]
[ROW][C]0.05[/C][C]99.4506667766804[/C][C]4.29656720539154[/C][/ROW]
[ROW][C]0.06[/C][C]101.229133242960[/C][C]4.16340815207135[/C][/ROW]
[ROW][C]0.07[/C][C]102.812143462629[/C][C]3.75878317414665[/C][/ROW]
[ROW][C]0.08[/C][C]104.162254441982[/C][C]3.22216285257430[/C][/ROW]
[ROW][C]0.09[/C][C]105.275061878696[/C][C]2.69090770378888[/C][/ROW]
[ROW][C]0.1[/C][C]106.176941715546[/C][C]2.25749074871796[/C][/ROW]
[ROW][C]0.11[/C][C]106.911194196795[/C][C]1.95649976771516[/C][/ROW]
[ROW][C]0.12[/C][C]107.523345526455[/C][C]1.77354121116776[/C][/ROW]
[ROW][C]0.13[/C][C]108.051311831225[/C][C]1.66756194790111[/C][/ROW]
[ROW][C]0.14[/C][C]108.521501461566[/C][C]1.59591635403032[/C][/ROW]
[ROW][C]0.15[/C][C]108.949420703795[/C][C]1.52857399597666[/C][/ROW]
[ROW][C]0.16[/C][C]109.342643534051[/C][C]1.45145411194052[/C][/ROW]
[ROW][C]0.17[/C][C]109.704325084918[/C][C]1.36301579601078[/C][/ROW]
[ROW][C]0.18[/C][C]110.036121108334[/C][C]1.26989264080865[/C][/ROW]
[ROW][C]0.19[/C][C]110.340034675414[/C][C]1.18205245480577[/C][/ROW]
[ROW][C]0.2[/C][C]110.619187599089[/C][C]1.10862781996439[/C][/ROW]
[ROW][C]0.21[/C][C]110.877782066177[/C][C]1.05564427049843[/C][/ROW]
[ROW][C]0.22[/C][C]111.120611141708[/C][C]1.02467055822132[/C][/ROW]
[ROW][C]0.23[/C][C]111.352447501131[/C][C]1.01323252226529[/C][/ROW]
[ROW][C]0.24[/C][C]111.577541978505[/C][C]1.01712930031646[/C][/ROW]
[ROW][C]0.25[/C][C]111.799344816849[/C][C]1.03128369910320[/C][/ROW]
[ROW][C]0.26[/C][C]112.020458413463[/C][C]1.05214921105428[/C][/ROW]
[ROW][C]0.27[/C][C]112.242761210031[/C][C]1.07762886693975[/C][/ROW]
[ROW][C]0.28[/C][C]112.467613491525[/C][C]1.10691052186513[/C][/ROW]
[ROW][C]0.29[/C][C]112.696060991693[/C][C]1.13976399239064[/C][/ROW]
[ROW][C]0.3[/C][C]112.928978877739[/C][C]1.17691788578539[/C][/ROW]
[ROW][C]0.31[/C][C]113.167133346528[/C][C]1.21801507804250[/C][/ROW]
[ROW][C]0.32[/C][C]113.411169697184[/C][C]1.26239263439544[/C][/ROW]
[ROW][C]0.33[/C][C]113.661557519964[/C][C]1.30878197433299[/C][/ROW]
[ROW][C]0.34[/C][C]113.918532915214[/C][C]1.35525574148271[/C][/ROW]
[ROW][C]0.35[/C][C]114.182075058423[/C][C]1.39993990777312[/C][/ROW]
[ROW][C]0.36[/C][C]114.451942696914[/C][C]1.44135670459530[/C][/ROW]
[ROW][C]0.37[/C][C]114.727779133498[/C][C]1.47884862731154[/C][/ROW]
[ROW][C]0.38[/C][C]115.009276084820[/C][C]1.51311477184487[/C][/ROW]
[ROW][C]0.39[/C][C]115.296371400197[/C][C]1.54641981078584[/C][/ROW]
[ROW][C]0.4[/C][C]115.589446117394[/C][C]1.58208634795931[/C][/ROW]
[ROW][C]0.41[/C][C]115.889484598074[/C][C]1.62453057132846[/C][/ROW]
[ROW][C]0.42[/C][C]116.198167821602[/C][C]1.67867446742069[/C][/ROW]
[ROW][C]0.43[/C][C]116.517882929710[/C][C]1.74891225963944[/C][/ROW]
[ROW][C]0.44[/C][C]116.851648969961[/C][C]1.83872582191932[/C][/ROW]
[ROW][C]0.45[/C][C]117.202975779554[/C][C]1.94992677351756[/C][/ROW]
[ROW][C]0.46[/C][C]117.575686310788[/C][C]2.08335216087520[/C][/ROW]
[ROW][C]0.47[/C][C]117.973739416709[/C][C]2.23820289835716[/C][/ROW]
[ROW][C]0.48[/C][C]118.401088606500[/C][C]2.41312860014280[/C][/ROW]
[ROW][C]0.49[/C][C]118.861602727306[/C][C]2.60661194289894[/C][/ROW]
[ROW][C]0.5[/C][C]119.359058836238[/C][C]2.81769233534607[/C][/ROW]
[ROW][C]0.51[/C][C]119.897198922194[/C][C]3.04599192773463[/C][/ROW]
[ROW][C]0.52[/C][C]120.479824528526[/C][C]3.2924393717052[/C][/ROW]
[ROW][C]0.53[/C][C]121.110890536028[/C][C]3.55851902911796[/C][/ROW]
[ROW][C]0.54[/C][C]121.794554378687[/C][C]3.84571128249212[/C][/ROW]
[ROW][C]0.55[/C][C]122.535141314207[/C][C]4.15535769689315[/C][/ROW]
[ROW][C]0.56[/C][C]123.336999734440[/C][C]4.48739619317819[/C][/ROW]
[ROW][C]0.57[/C][C]124.204240613436[/C][C]4.83953836458621[/C][/ROW]
[ROW][C]0.58[/C][C]125.140378158972[/C][C]5.20690058268199[/C][/ROW]
[ROW][C]0.59[/C][C]126.147909785234[/C][C]5.58234235203531[/C][/ROW]
[ROW][C]0.6[/C][C]127.227888145064[/C][C]5.95561999482836[/C][/ROW]
[ROW][C]0.61[/C][C]128.379543187703[/C][C]6.31509630975764[/C][/ROW]
[ROW][C]0.62[/C][C]129.600007693368[/C][C]6.64827532630544[/C][/ROW]
[ROW][C]0.63[/C][C]130.884188083129[/C][C]6.94262802862304[/C][/ROW]
[ROW][C]0.64[/C][C]132.224808301851[/C][C]7.18706497571831[/C][/ROW]
[ROW][C]0.65[/C][C]133.612643290288[/C][C]7.37175206760565[/C][/ROW]
[ROW][C]0.66[/C][C]135.036952775977[/C][C]7.49035278167061[/C][/ROW]
[ROW][C]0.67[/C][C]136.486124093665[/C][C]7.53970781385079[/C][/ROW]
[ROW][C]0.68[/C][C]137.948527651053[/C][C]7.5213004327827[/C][/ROW]
[ROW][C]0.69[/C][C]139.413570480146[/C][C]7.44088704802266[/C][/ROW]
[ROW][C]0.7[/C][C]140.872893510559[/C][C]7.31143170242618[/C][/ROW]
[ROW][C]0.71[/C][C]142.321595792718[/C][C]7.15160168984452[/C][/ROW]
[ROW][C]0.72[/C][C]143.759295738495[/C][C]6.98647575213768[/C][/ROW]
[ROW][C]0.73[/C][C]145.190781693853[/C][C]6.84559279729991[/C][/ROW]
[ROW][C]0.74[/C][C]146.625997564876[/C][C]6.75900805009252[/C][/ROW]
[ROW][C]0.75[/C][C]148.079187511686[/C][C]6.75120111913085[/C][/ROW]
[ROW][C]0.76[/C][C]149.567201963108[/C][C]6.83409017961873[/C][/ROW]
[ROW][C]0.77[/C][C]151.107224870466[/C][C]7.00250514700424[/C][/ROW]
[ROW][C]0.78[/C][C]152.714453035283[/C][C]7.23373110556696[/C][/ROW]
[ROW][C]0.79[/C][C]154.400435458715[/C][C]7.49432070435933[/C][/ROW]
[ROW][C]0.8[/C][C]156.172742238577[/C][C]7.75016104034914[/C][/ROW]
[ROW][C]0.81[/C][C]158.036291264661[/C][C]7.9788231248481[/C][/ROW]
[ROW][C]0.82[/C][C]159.996027598297[/C][C]8.17881859095743[/C][/ROW]
[ROW][C]0.83[/C][C]162.059889638236[/C][C]8.37237719460714[/C][/ROW]
[ROW][C]0.84[/C][C]164.240437927887[/C][C]8.59621445512314[/C][/ROW]
[ROW][C]0.85[/C][C]166.553588280148[/C][C]8.88077876714264[/C][/ROW]
[ROW][C]0.86[/C][C]169.013914984645[/C][C]9.2229775296627[/C][/ROW]
[ROW][C]0.87[/C][C]171.627968865615[/C][C]9.57000386112439[/C][/ROW]
[ROW][C]0.88[/C][C]174.389434528979[/C][C]9.82948977315398[/C][/ROW]
[ROW][C]0.89[/C][C]177.281606308338[/C][C]9.90966859090365[/C][/ROW]
[ROW][C]0.9[/C][C]180.292196260428[/C][C]9.77772125329684[/C][/ROW]
[ROW][C]0.91[/C][C]183.441854593301[/C][C]9.51927554956264[/C][/ROW]
[ROW][C]0.92[/C][C]186.821138104564[/C][C]9.3729318925376[/C][/ROW]
[ROW][C]0.93[/C][C]190.623301398140[/C][C]9.6943937158303[/C][/ROW]
[ROW][C]0.94[/C][C]195.157054252414[/C][C]10.7787541282686[/C][/ROW]
[ROW][C]0.95[/C][C]200.828442741468[/C][C]12.6128901018134[/C][/ROW]
[ROW][C]0.96[/C][C]208.083417342108[/C][C]14.8173581932618[/C][/ROW]
[ROW][C]0.97[/C][C]217.255211152050[/C][C]16.8936101354695[/C][/ROW]
[ROW][C]0.98[/C][C]228.125750916451[/C][C]18.7295891596196[/C][/ROW]
[ROW][C]0.99[/C][C]239.038057392599[/C][C]20.7740680908239[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9625&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9625&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
0.0191.47529404383383.60964297600895
0.0293.41410316185523.39885268305928
0.0395.50037950740173.67732157165582
0.0497.52841151293914.09597806366761
0.0599.45066677668044.29656720539154
0.06101.2291332429604.16340815207135
0.07102.8121434626293.75878317414665
0.08104.1622544419823.22216285257430
0.09105.2750618786962.69090770378888
0.1106.1769417155462.25749074871796
0.11106.9111941967951.95649976771516
0.12107.5233455264551.77354121116776
0.13108.0513118312251.66756194790111
0.14108.5215014615661.59591635403032
0.15108.9494207037951.52857399597666
0.16109.3426435340511.45145411194052
0.17109.7043250849181.36301579601078
0.18110.0361211083341.26989264080865
0.19110.3400346754141.18205245480577
0.2110.6191875990891.10862781996439
0.21110.8777820661771.05564427049843
0.22111.1206111417081.02467055822132
0.23111.3524475011311.01323252226529
0.24111.5775419785051.01712930031646
0.25111.7993448168491.03128369910320
0.26112.0204584134631.05214921105428
0.27112.2427612100311.07762886693975
0.28112.4676134915251.10691052186513
0.29112.6960609916931.13976399239064
0.3112.9289788777391.17691788578539
0.31113.1671333465281.21801507804250
0.32113.4111696971841.26239263439544
0.33113.6615575199641.30878197433299
0.34113.9185329152141.35525574148271
0.35114.1820750584231.39993990777312
0.36114.4519426969141.44135670459530
0.37114.7277791334981.47884862731154
0.38115.0092760848201.51311477184487
0.39115.2963714001971.54641981078584
0.4115.5894461173941.58208634795931
0.41115.8894845980741.62453057132846
0.42116.1981678216021.67867446742069
0.43116.5178829297101.74891225963944
0.44116.8516489699611.83872582191932
0.45117.2029757795541.94992677351756
0.46117.5756863107882.08335216087520
0.47117.9737394167092.23820289835716
0.48118.4010886065002.41312860014280
0.49118.8616027273062.60661194289894
0.5119.3590588362382.81769233534607
0.51119.8971989221943.04599192773463
0.52120.4798245285263.2924393717052
0.53121.1108905360283.55851902911796
0.54121.7945543786873.84571128249212
0.55122.5351413142074.15535769689315
0.56123.3369997344404.48739619317819
0.57124.2042406134364.83953836458621
0.58125.1403781589725.20690058268199
0.59126.1479097852345.58234235203531
0.6127.2278881450645.95561999482836
0.61128.3795431877036.31509630975764
0.62129.6000076933686.64827532630544
0.63130.8841880831296.94262802862304
0.64132.2248083018517.18706497571831
0.65133.6126432902887.37175206760565
0.66135.0369527759777.49035278167061
0.67136.4861240936657.53970781385079
0.68137.9485276510537.5213004327827
0.69139.4135704801467.44088704802266
0.7140.8728935105597.31143170242618
0.71142.3215957927187.15160168984452
0.72143.7592957384956.98647575213768
0.73145.1907816938536.84559279729991
0.74146.6259975648766.75900805009252
0.75148.0791875116866.75120111913085
0.76149.5672019631086.83409017961873
0.77151.1072248704667.00250514700424
0.78152.7144530352837.23373110556696
0.79154.4004354587157.49432070435933
0.8156.1727422385777.75016104034914
0.81158.0362912646617.9788231248481
0.82159.9960275982978.17881859095743
0.83162.0598896382368.37237719460714
0.84164.2404379278878.59621445512314
0.85166.5535882801488.88077876714264
0.86169.0139149846459.2229775296627
0.87171.6279688656159.57000386112439
0.88174.3894345289799.82948977315398
0.89177.2816063083389.90966859090365
0.9180.2921962604289.77772125329684
0.91183.4418545933019.51927554956264
0.92186.8211381045649.3729318925376
0.93190.6233013981409.6943937158303
0.94195.15705425241410.7787541282686
0.95200.82844274146812.6128901018134
0.96208.08341734210814.8173581932618
0.97217.25521115205016.8936101354695
0.98228.12575091645118.7295891596196
0.99239.03805739259920.7740680908239


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')