FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 15 Dec 2007 15:24:27 -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/2007/Dec/15/t1197756493146nyx24ihro5dr.htm/, Retrieved Thu, 02 May 2024 20:51:35 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4109, Retrieved Thu, 02 May 2024 20:51:35 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact219

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] [] [2007-12-15 22:24:27] [ba3202e2798d2e4685d19d988e9c69df] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
88
88,4
95
101,8
107,6
118,9
126,9
106,3
109,2
104,6
100,8
92,1
86,4
96
98,5
112
113,9
120
126,7
112,8
116,2
110,6
105
101,2
99,3
101,9
106,4
118,9
121,9
132
121,4
117
122,7
113
104
101,2
100,8
98,9
103
117,8
126,6
127,6
115,8
114,8
119,2
109,9
98,9
98,6
96,6
96,7
103,5
115,3
122,5
125,3
111,2
110,7
114,2
105,6
95,5
97,3
95,5
96,3
100,2
113,4
121,4
122,1
119,3
110,8
110,1
99,7
104,8
105,4

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4109&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4109&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4109&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.95011602583691.53853301660796
0.0287.88295392432181.86711452992988
0.0389.0351793629182.45642358346072
0.0490.29389667230812.87771793079563
0.0591.55663250085732.92608051450433
0.0692.72163276507562.64528341130118
0.0793.71565641227252.19611770222238
0.0894.51322109894421.73848601278422
0.0995.13142296252681.37544159984416
0.195.61097998198051.14574809798165
0.1195.99749606285041.03976712540506
0.1296.32975127200721.02108808391004
0.1396.63525973817031.05032091002044
0.1496.93055536162321.09710429418504
0.1597.22360369203051.14202339977984
0.1697.51666883643731.17441291965843
0.1797.80884742287111.19068926176188
0.1898.09800438918931.19255226697593
0.1998.38207456037561.18487407201091
0.298.65978263041041.17399819240103
0.2198.93088335576541.16564604336797
0.2299.19606281298551.1632256498908
0.2399.4566604439171.16840786298959
0.2499.7143570498921.18084031576345
0.2599.97092780628381.20020957338204
0.26100.2280986207211.22585020091042
0.27100.4874905021681.25789995458414
0.28100.7506061020451.29665647889742
0.29101.0188100476721.34192939103543
0.3101.2932741402391.39293178154925
0.31101.5748876527861.44804459273907
0.32101.8641588511051.50417829601414
0.33102.1611471949631.55853085034615
0.34102.4654630056081.60767139214656
0.35102.7763549023301.65001188546829
0.36103.0928810952131.68459457205647
0.37103.4141362277311.71286353934395
0.38103.7394876754231.73710417198885
0.39104.0687684760701.76152312422221
0.4104.4023798151971.79039187409463
0.41104.741272712071.82755073882693
0.42105.0868024772561.87503562994126
0.43105.4404755779771.93297369265345
0.44105.8036314297821.99945489285319
0.45106.1771167119572.06953718356750
0.46106.5610139500852.13732995268464
0.47106.9544782388582.19632822187026
0.48107.3557173119672.24025053947032
0.49107.7621241119592.2645154589347
0.5108.1705426278942.266611268779
0.51108.5776228141752.24656926131156
0.52108.980204135712.20700361842043
0.53109.3756632264522.15241328192888
0.54109.7621701731552.08886247891904
0.55110.1388179420632.02267864773191
0.56110.5056158033911.95969594431214
0.57110.8633641941221.90409427591960
0.58111.2134493036651.85894325717863
0.59111.5576063832021.82472467690004
0.6111.8976996469001.80090397044701
0.61112.2355549038251.78589584101754
0.62112.5728624508011.77826410585295
0.63112.9111473207481.77668102508851
0.64113.2517867330121.78027721807451
0.65113.5960443198431.78892834775079
0.66113.9450892697461.80238478329576
0.67114.2999757585561.82033014463929
0.68114.6615720489591.84206334624836
0.69115.0304463441161.86565528729994
0.7115.4067340473861.88860682796000
0.71115.7900242746721.90763856665960
0.72116.1793080857491.91892302516833
0.73116.5730235833681.91920604248699
0.74116.9692125998251.90632702173711
0.75117.365772798341.87972904962252
0.76117.7607552645221.84099445656196
0.77118.1526331315141.79337944371990
0.78118.5404650485151.74122467814857
0.79118.9239080089121.68864475551035
0.8119.3030964777001.63842720928686
0.81119.6784830686331.59093813693236
0.82120.0507992139941.54522164703316
0.83120.4213026952301.50029459171349
0.84120.7923973921801.45808796516875
0.85121.1685263506031.42570012755337
0.86121.5569814084831.41629441527949
0.87121.9680286727441.44554238862222
0.88122.4136679883951.52375871432644
0.89122.9046072963721.64425121331470
0.9123.445770672391.77789154481294
0.91124.0318238315611.87678698782231
0.92124.6454642609181.88925011966174
0.93125.2620420078771.78198866854614
0.94125.8639204855161.56440491859759
0.95126.4660107758841.31062612685991
0.96127.1465031443961.18912139723963
0.97128.0543443053661.46385877768735
0.98129.3244706322552.27065989879709
0.99130.8378552784253.41665770998197

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.9501160258369 & 1.53853301660796 \tabularnewline
0.02 & 87.8829539243218 & 1.86711452992988 \tabularnewline
0.03 & 89.035179362918 & 2.45642358346072 \tabularnewline
0.04 & 90.2938966723081 & 2.87771793079563 \tabularnewline
0.05 & 91.5566325008573 & 2.92608051450433 \tabularnewline
0.06 & 92.7216327650756 & 2.64528341130118 \tabularnewline
0.07 & 93.7156564122725 & 2.19611770222238 \tabularnewline
0.08 & 94.5132210989442 & 1.73848601278422 \tabularnewline
0.09 & 95.1314229625268 & 1.37544159984416 \tabularnewline
0.1 & 95.6109799819805 & 1.14574809798165 \tabularnewline
0.11 & 95.9974960628504 & 1.03976712540506 \tabularnewline
0.12 & 96.3297512720072 & 1.02108808391004 \tabularnewline
0.13 & 96.6352597381703 & 1.05032091002044 \tabularnewline
0.14 & 96.9305553616232 & 1.09710429418504 \tabularnewline
0.15 & 97.2236036920305 & 1.14202339977984 \tabularnewline
0.16 & 97.5166688364373 & 1.17441291965843 \tabularnewline
0.17 & 97.8088474228711 & 1.19068926176188 \tabularnewline
0.18 & 98.0980043891893 & 1.19255226697593 \tabularnewline
0.19 & 98.3820745603756 & 1.18487407201091 \tabularnewline
0.2 & 98.6597826304104 & 1.17399819240103 \tabularnewline
0.21 & 98.9308833557654 & 1.16564604336797 \tabularnewline
0.22 & 99.1960628129855 & 1.1632256498908 \tabularnewline
0.23 & 99.456660443917 & 1.16840786298959 \tabularnewline
0.24 & 99.714357049892 & 1.18084031576345 \tabularnewline
0.25 & 99.9709278062838 & 1.20020957338204 \tabularnewline
0.26 & 100.228098620721 & 1.22585020091042 \tabularnewline
0.27 & 100.487490502168 & 1.25789995458414 \tabularnewline
0.28 & 100.750606102045 & 1.29665647889742 \tabularnewline
0.29 & 101.018810047672 & 1.34192939103543 \tabularnewline
0.3 & 101.293274140239 & 1.39293178154925 \tabularnewline
0.31 & 101.574887652786 & 1.44804459273907 \tabularnewline
0.32 & 101.864158851105 & 1.50417829601414 \tabularnewline
0.33 & 102.161147194963 & 1.55853085034615 \tabularnewline
0.34 & 102.465463005608 & 1.60767139214656 \tabularnewline
0.35 & 102.776354902330 & 1.65001188546829 \tabularnewline
0.36 & 103.092881095213 & 1.68459457205647 \tabularnewline
0.37 & 103.414136227731 & 1.71286353934395 \tabularnewline
0.38 & 103.739487675423 & 1.73710417198885 \tabularnewline
0.39 & 104.068768476070 & 1.76152312422221 \tabularnewline
0.4 & 104.402379815197 & 1.79039187409463 \tabularnewline
0.41 & 104.74127271207 & 1.82755073882693 \tabularnewline
0.42 & 105.086802477256 & 1.87503562994126 \tabularnewline
0.43 & 105.440475577977 & 1.93297369265345 \tabularnewline
0.44 & 105.803631429782 & 1.99945489285319 \tabularnewline
0.45 & 106.177116711957 & 2.06953718356750 \tabularnewline
0.46 & 106.561013950085 & 2.13732995268464 \tabularnewline
0.47 & 106.954478238858 & 2.19632822187026 \tabularnewline
0.48 & 107.355717311967 & 2.24025053947032 \tabularnewline
0.49 & 107.762124111959 & 2.2645154589347 \tabularnewline
0.5 & 108.170542627894 & 2.266611268779 \tabularnewline
0.51 & 108.577622814175 & 2.24656926131156 \tabularnewline
0.52 & 108.98020413571 & 2.20700361842043 \tabularnewline
0.53 & 109.375663226452 & 2.15241328192888 \tabularnewline
0.54 & 109.762170173155 & 2.08886247891904 \tabularnewline
0.55 & 110.138817942063 & 2.02267864773191 \tabularnewline
0.56 & 110.505615803391 & 1.95969594431214 \tabularnewline
0.57 & 110.863364194122 & 1.90409427591960 \tabularnewline
0.58 & 111.213449303665 & 1.85894325717863 \tabularnewline
0.59 & 111.557606383202 & 1.82472467690004 \tabularnewline
0.6 & 111.897699646900 & 1.80090397044701 \tabularnewline
0.61 & 112.235554903825 & 1.78589584101754 \tabularnewline
0.62 & 112.572862450801 & 1.77826410585295 \tabularnewline
0.63 & 112.911147320748 & 1.77668102508851 \tabularnewline
0.64 & 113.251786733012 & 1.78027721807451 \tabularnewline
0.65 & 113.596044319843 & 1.78892834775079 \tabularnewline
0.66 & 113.945089269746 & 1.80238478329576 \tabularnewline
0.67 & 114.299975758556 & 1.82033014463929 \tabularnewline
0.68 & 114.661572048959 & 1.84206334624836 \tabularnewline
0.69 & 115.030446344116 & 1.86565528729994 \tabularnewline
0.7 & 115.406734047386 & 1.88860682796000 \tabularnewline
0.71 & 115.790024274672 & 1.90763856665960 \tabularnewline
0.72 & 116.179308085749 & 1.91892302516833 \tabularnewline
0.73 & 116.573023583368 & 1.91920604248699 \tabularnewline
0.74 & 116.969212599825 & 1.90632702173711 \tabularnewline
0.75 & 117.36577279834 & 1.87972904962252 \tabularnewline
0.76 & 117.760755264522 & 1.84099445656196 \tabularnewline
0.77 & 118.152633131514 & 1.79337944371990 \tabularnewline
0.78 & 118.540465048515 & 1.74122467814857 \tabularnewline
0.79 & 118.923908008912 & 1.68864475551035 \tabularnewline
0.8 & 119.303096477700 & 1.63842720928686 \tabularnewline
0.81 & 119.678483068633 & 1.59093813693236 \tabularnewline
0.82 & 120.050799213994 & 1.54522164703316 \tabularnewline
0.83 & 120.421302695230 & 1.50029459171349 \tabularnewline
0.84 & 120.792397392180 & 1.45808796516875 \tabularnewline
0.85 & 121.168526350603 & 1.42570012755337 \tabularnewline
0.86 & 121.556981408483 & 1.41629441527949 \tabularnewline
0.87 & 121.968028672744 & 1.44554238862222 \tabularnewline
0.88 & 122.413667988395 & 1.52375871432644 \tabularnewline
0.89 & 122.904607296372 & 1.64425121331470 \tabularnewline
0.9 & 123.44577067239 & 1.77789154481294 \tabularnewline
0.91 & 124.031823831561 & 1.87678698782231 \tabularnewline
0.92 & 124.645464260918 & 1.88925011966174 \tabularnewline
0.93 & 125.262042007877 & 1.78198866854614 \tabularnewline
0.94 & 125.863920485516 & 1.56440491859759 \tabularnewline
0.95 & 126.466010775884 & 1.31062612685991 \tabularnewline
0.96 & 127.146503144396 & 1.18912139723963 \tabularnewline
0.97 & 128.054344305366 & 1.46385877768735 \tabularnewline
0.98 & 129.324470632255 & 2.27065989879709 \tabularnewline
0.99 & 130.837855278425 & 3.41665770998197 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4109&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]86.9501160258369[/C][C]1.53853301660796[/C][/ROW]
[ROW][C]0.02[/C][C]87.8829539243218[/C][C]1.86711452992988[/C][/ROW]
[ROW][C]0.03[/C][C]89.035179362918[/C][C]2.45642358346072[/C][/ROW]
[ROW][C]0.04[/C][C]90.2938966723081[/C][C]2.87771793079563[/C][/ROW]
[ROW][C]0.05[/C][C]91.5566325008573[/C][C]2.92608051450433[/C][/ROW]
[ROW][C]0.06[/C][C]92.7216327650756[/C][C]2.64528341130118[/C][/ROW]
[ROW][C]0.07[/C][C]93.7156564122725[/C][C]2.19611770222238[/C][/ROW]
[ROW][C]0.08[/C][C]94.5132210989442[/C][C]1.73848601278422[/C][/ROW]
[ROW][C]0.09[/C][C]95.1314229625268[/C][C]1.37544159984416[/C][/ROW]
[ROW][C]0.1[/C][C]95.6109799819805[/C][C]1.14574809798165[/C][/ROW]
[ROW][C]0.11[/C][C]95.9974960628504[/C][C]1.03976712540506[/C][/ROW]
[ROW][C]0.12[/C][C]96.3297512720072[/C][C]1.02108808391004[/C][/ROW]
[ROW][C]0.13[/C][C]96.6352597381703[/C][C]1.05032091002044[/C][/ROW]
[ROW][C]0.14[/C][C]96.9305553616232[/C][C]1.09710429418504[/C][/ROW]
[ROW][C]0.15[/C][C]97.2236036920305[/C][C]1.14202339977984[/C][/ROW]
[ROW][C]0.16[/C][C]97.5166688364373[/C][C]1.17441291965843[/C][/ROW]
[ROW][C]0.17[/C][C]97.8088474228711[/C][C]1.19068926176188[/C][/ROW]
[ROW][C]0.18[/C][C]98.0980043891893[/C][C]1.19255226697593[/C][/ROW]
[ROW][C]0.19[/C][C]98.3820745603756[/C][C]1.18487407201091[/C][/ROW]
[ROW][C]0.2[/C][C]98.6597826304104[/C][C]1.17399819240103[/C][/ROW]
[ROW][C]0.21[/C][C]98.9308833557654[/C][C]1.16564604336797[/C][/ROW]
[ROW][C]0.22[/C][C]99.1960628129855[/C][C]1.1632256498908[/C][/ROW]
[ROW][C]0.23[/C][C]99.456660443917[/C][C]1.16840786298959[/C][/ROW]
[ROW][C]0.24[/C][C]99.714357049892[/C][C]1.18084031576345[/C][/ROW]
[ROW][C]0.25[/C][C]99.9709278062838[/C][C]1.20020957338204[/C][/ROW]
[ROW][C]0.26[/C][C]100.228098620721[/C][C]1.22585020091042[/C][/ROW]
[ROW][C]0.27[/C][C]100.487490502168[/C][C]1.25789995458414[/C][/ROW]
[ROW][C]0.28[/C][C]100.750606102045[/C][C]1.29665647889742[/C][/ROW]
[ROW][C]0.29[/C][C]101.018810047672[/C][C]1.34192939103543[/C][/ROW]
[ROW][C]0.3[/C][C]101.293274140239[/C][C]1.39293178154925[/C][/ROW]
[ROW][C]0.31[/C][C]101.574887652786[/C][C]1.44804459273907[/C][/ROW]
[ROW][C]0.32[/C][C]101.864158851105[/C][C]1.50417829601414[/C][/ROW]
[ROW][C]0.33[/C][C]102.161147194963[/C][C]1.55853085034615[/C][/ROW]
[ROW][C]0.34[/C][C]102.465463005608[/C][C]1.60767139214656[/C][/ROW]
[ROW][C]0.35[/C][C]102.776354902330[/C][C]1.65001188546829[/C][/ROW]
[ROW][C]0.36[/C][C]103.092881095213[/C][C]1.68459457205647[/C][/ROW]
[ROW][C]0.37[/C][C]103.414136227731[/C][C]1.71286353934395[/C][/ROW]
[ROW][C]0.38[/C][C]103.739487675423[/C][C]1.73710417198885[/C][/ROW]
[ROW][C]0.39[/C][C]104.068768476070[/C][C]1.76152312422221[/C][/ROW]
[ROW][C]0.4[/C][C]104.402379815197[/C][C]1.79039187409463[/C][/ROW]
[ROW][C]0.41[/C][C]104.74127271207[/C][C]1.82755073882693[/C][/ROW]
[ROW][C]0.42[/C][C]105.086802477256[/C][C]1.87503562994126[/C][/ROW]
[ROW][C]0.43[/C][C]105.440475577977[/C][C]1.93297369265345[/C][/ROW]
[ROW][C]0.44[/C][C]105.803631429782[/C][C]1.99945489285319[/C][/ROW]
[ROW][C]0.45[/C][C]106.177116711957[/C][C]2.06953718356750[/C][/ROW]
[ROW][C]0.46[/C][C]106.561013950085[/C][C]2.13732995268464[/C][/ROW]
[ROW][C]0.47[/C][C]106.954478238858[/C][C]2.19632822187026[/C][/ROW]
[ROW][C]0.48[/C][C]107.355717311967[/C][C]2.24025053947032[/C][/ROW]
[ROW][C]0.49[/C][C]107.762124111959[/C][C]2.2645154589347[/C][/ROW]
[ROW][C]0.5[/C][C]108.170542627894[/C][C]2.266611268779[/C][/ROW]
[ROW][C]0.51[/C][C]108.577622814175[/C][C]2.24656926131156[/C][/ROW]
[ROW][C]0.52[/C][C]108.98020413571[/C][C]2.20700361842043[/C][/ROW]
[ROW][C]0.53[/C][C]109.375663226452[/C][C]2.15241328192888[/C][/ROW]
[ROW][C]0.54[/C][C]109.762170173155[/C][C]2.08886247891904[/C][/ROW]
[ROW][C]0.55[/C][C]110.138817942063[/C][C]2.02267864773191[/C][/ROW]
[ROW][C]0.56[/C][C]110.505615803391[/C][C]1.95969594431214[/C][/ROW]
[ROW][C]0.57[/C][C]110.863364194122[/C][C]1.90409427591960[/C][/ROW]
[ROW][C]0.58[/C][C]111.213449303665[/C][C]1.85894325717863[/C][/ROW]
[ROW][C]0.59[/C][C]111.557606383202[/C][C]1.82472467690004[/C][/ROW]
[ROW][C]0.6[/C][C]111.897699646900[/C][C]1.80090397044701[/C][/ROW]
[ROW][C]0.61[/C][C]112.235554903825[/C][C]1.78589584101754[/C][/ROW]
[ROW][C]0.62[/C][C]112.572862450801[/C][C]1.77826410585295[/C][/ROW]
[ROW][C]0.63[/C][C]112.911147320748[/C][C]1.77668102508851[/C][/ROW]
[ROW][C]0.64[/C][C]113.251786733012[/C][C]1.78027721807451[/C][/ROW]
[ROW][C]0.65[/C][C]113.596044319843[/C][C]1.78892834775079[/C][/ROW]
[ROW][C]0.66[/C][C]113.945089269746[/C][C]1.80238478329576[/C][/ROW]
[ROW][C]0.67[/C][C]114.299975758556[/C][C]1.82033014463929[/C][/ROW]
[ROW][C]0.68[/C][C]114.661572048959[/C][C]1.84206334624836[/C][/ROW]
[ROW][C]0.69[/C][C]115.030446344116[/C][C]1.86565528729994[/C][/ROW]
[ROW][C]0.7[/C][C]115.406734047386[/C][C]1.88860682796000[/C][/ROW]
[ROW][C]0.71[/C][C]115.790024274672[/C][C]1.90763856665960[/C][/ROW]
[ROW][C]0.72[/C][C]116.179308085749[/C][C]1.91892302516833[/C][/ROW]
[ROW][C]0.73[/C][C]116.573023583368[/C][C]1.91920604248699[/C][/ROW]
[ROW][C]0.74[/C][C]116.969212599825[/C][C]1.90632702173711[/C][/ROW]
[ROW][C]0.75[/C][C]117.36577279834[/C][C]1.87972904962252[/C][/ROW]
[ROW][C]0.76[/C][C]117.760755264522[/C][C]1.84099445656196[/C][/ROW]
[ROW][C]0.77[/C][C]118.152633131514[/C][C]1.79337944371990[/C][/ROW]
[ROW][C]0.78[/C][C]118.540465048515[/C][C]1.74122467814857[/C][/ROW]
[ROW][C]0.79[/C][C]118.923908008912[/C][C]1.68864475551035[/C][/ROW]
[ROW][C]0.8[/C][C]119.303096477700[/C][C]1.63842720928686[/C][/ROW]
[ROW][C]0.81[/C][C]119.678483068633[/C][C]1.59093813693236[/C][/ROW]
[ROW][C]0.82[/C][C]120.050799213994[/C][C]1.54522164703316[/C][/ROW]
[ROW][C]0.83[/C][C]120.421302695230[/C][C]1.50029459171349[/C][/ROW]
[ROW][C]0.84[/C][C]120.792397392180[/C][C]1.45808796516875[/C][/ROW]
[ROW][C]0.85[/C][C]121.168526350603[/C][C]1.42570012755337[/C][/ROW]
[ROW][C]0.86[/C][C]121.556981408483[/C][C]1.41629441527949[/C][/ROW]
[ROW][C]0.87[/C][C]121.968028672744[/C][C]1.44554238862222[/C][/ROW]
[ROW][C]0.88[/C][C]122.413667988395[/C][C]1.52375871432644[/C][/ROW]
[ROW][C]0.89[/C][C]122.904607296372[/C][C]1.64425121331470[/C][/ROW]
[ROW][C]0.9[/C][C]123.44577067239[/C][C]1.77789154481294[/C][/ROW]
[ROW][C]0.91[/C][C]124.031823831561[/C][C]1.87678698782231[/C][/ROW]
[ROW][C]0.92[/C][C]124.645464260918[/C][C]1.88925011966174[/C][/ROW]
[ROW][C]0.93[/C][C]125.262042007877[/C][C]1.78198866854614[/C][/ROW]
[ROW][C]0.94[/C][C]125.863920485516[/C][C]1.56440491859759[/C][/ROW]
[ROW][C]0.95[/C][C]126.466010775884[/C][C]1.31062612685991[/C][/ROW]
[ROW][C]0.96[/C][C]127.146503144396[/C][C]1.18912139723963[/C][/ROW]
[ROW][C]0.97[/C][C]128.054344305366[/C][C]1.46385877768735[/C][/ROW]
[ROW][C]0.98[/C][C]129.324470632255[/C][C]2.27065989879709[/C][/ROW]
[ROW][C]0.99[/C][C]130.837855278425[/C][C]3.41665770998197[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4109&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4109&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
0.0186.95011602583691.53853301660796
0.0287.88295392432181.86711452992988
0.0389.0351793629182.45642358346072
0.0490.29389667230812.87771793079563
0.0591.55663250085732.92608051450433
0.0692.72163276507562.64528341130118
0.0793.71565641227252.19611770222238
0.0894.51322109894421.73848601278422
0.0995.13142296252681.37544159984416
0.195.61097998198051.14574809798165
0.1195.99749606285041.03976712540506
0.1296.32975127200721.02108808391004
0.1396.63525973817031.05032091002044
0.1496.93055536162321.09710429418504
0.1597.22360369203051.14202339977984
0.1697.51666883643731.17441291965843
0.1797.80884742287111.19068926176188
0.1898.09800438918931.19255226697593
0.1998.38207456037561.18487407201091
0.298.65978263041041.17399819240103
0.2198.93088335576541.16564604336797
0.2299.19606281298551.1632256498908
0.2399.4566604439171.16840786298959
0.2499.7143570498921.18084031576345
0.2599.97092780628381.20020957338204
0.26100.2280986207211.22585020091042
0.27100.4874905021681.25789995458414
0.28100.7506061020451.29665647889742
0.29101.0188100476721.34192939103543
0.3101.2932741402391.39293178154925
0.31101.5748876527861.44804459273907
0.32101.8641588511051.50417829601414
0.33102.1611471949631.55853085034615
0.34102.4654630056081.60767139214656
0.35102.7763549023301.65001188546829
0.36103.0928810952131.68459457205647
0.37103.4141362277311.71286353934395
0.38103.7394876754231.73710417198885
0.39104.0687684760701.76152312422221
0.4104.4023798151971.79039187409463
0.41104.741272712071.82755073882693
0.42105.0868024772561.87503562994126
0.43105.4404755779771.93297369265345
0.44105.8036314297821.99945489285319
0.45106.1771167119572.06953718356750
0.46106.5610139500852.13732995268464
0.47106.9544782388582.19632822187026
0.48107.3557173119672.24025053947032
0.49107.7621241119592.2645154589347
0.5108.1705426278942.266611268779
0.51108.5776228141752.24656926131156
0.52108.980204135712.20700361842043
0.53109.3756632264522.15241328192888
0.54109.7621701731552.08886247891904
0.55110.1388179420632.02267864773191
0.56110.5056158033911.95969594431214
0.57110.8633641941221.90409427591960
0.58111.2134493036651.85894325717863
0.59111.5576063832021.82472467690004
0.6111.8976996469001.80090397044701
0.61112.2355549038251.78589584101754
0.62112.5728624508011.77826410585295
0.63112.9111473207481.77668102508851
0.64113.2517867330121.78027721807451
0.65113.5960443198431.78892834775079
0.66113.9450892697461.80238478329576
0.67114.2999757585561.82033014463929
0.68114.6615720489591.84206334624836
0.69115.0304463441161.86565528729994
0.7115.4067340473861.88860682796000
0.71115.7900242746721.90763856665960
0.72116.1793080857491.91892302516833
0.73116.5730235833681.91920604248699
0.74116.9692125998251.90632702173711
0.75117.365772798341.87972904962252
0.76117.7607552645221.84099445656196
0.77118.1526331315141.79337944371990
0.78118.5404650485151.74122467814857
0.79118.9239080089121.68864475551035
0.8119.3030964777001.63842720928686
0.81119.6784830686331.59093813693236
0.82120.0507992139941.54522164703316
0.83120.4213026952301.50029459171349
0.84120.7923973921801.45808796516875
0.85121.1685263506031.42570012755337
0.86121.5569814084831.41629441527949
0.87121.9680286727441.44554238862222
0.88122.4136679883951.52375871432644
0.89122.9046072963721.64425121331470
0.9123.445770672391.77789154481294
0.91124.0318238315611.87678698782231
0.92124.6454642609181.88925011966174
0.93125.2620420078771.78198866854614
0.94125.8639204855161.56440491859759
0.95126.4660107758841.31062612685991
0.96127.1465031443961.18912139723963
0.97128.0543443053661.46385877768735
0.98129.3244706322552.27065989879709
0.99130.8378552784253.41665770998197


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')