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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, 19 Oct 2008 13:02:40 -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/2008/Oct/19/t1224442982jtiid4c8mnht9c8.htm/, Retrieved Sun, 19 May 2024 14:32:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=17058, Retrieved Sun, 19 May 2024 14:32:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact149

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [] [2008-10-13 23:08:02] [e6c4428cda034f2790871b3ffa59aa02]
-   PD  [Univariate Data Series] [] [2008-10-19 17:39:13] [7c33e759a6f7358dc2f6505c3a7a1eae]
-   PD    [Univariate Data Series] [] [2008-10-19 17:42:24] [7c33e759a6f7358dc2f6505c3a7a1eae]
-   PD      [Univariate Data Series] [] [2008-10-19 17:44:18] [7c33e759a6f7358dc2f6505c3a7a1eae]
- RMPD        [Central Tendency] [] [2008-10-19 18:11:56] [7c33e759a6f7358dc2f6505c3a7a1eae]
- RM D          [Percentiles] [] [2008-10-19 18:59:59] [e6c4428cda034f2790871b3ffa59aa02]
- RMP               [Harrell-Davis Quantiles] [] [2008-10-19 19:02:40] [c0a347e3519123f7eef62b705326dad9] [Current]
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Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97.6
96.9
105.6
102.8
101.7
104.2
92.7
91.9
106.5
112.3
102.8
96.5
101.0
98.9
105.1
103.0
99.0
104.3
94.6
90.4
108.9
111.4
100.8
102.5
98.2
98.7
113.3
104.6
99.3
111.8
97.3
97.7
115.6
111.9
107.0
107.1
100.6
99.2
108.4
103.0
99.8
115.0
90.8
95.9
114.4
108.2
112.6
109.1
105.0
105.0
118.5
103.7
112.5
116.6
96.6
101.9
116.5
119.3
115.4
108.5
111.5
108.8
121.8
109.6
112.2
119.6
104.1
105.3
115.0
124.1
116.8
107.5
115.6
116.2
116.3
119.0
111.9
118.6
106.7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'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 & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17058&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17058&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17058&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0190.66122469811230.65527637344925
0.0291.1793798857121.08833986007020
0.0391.88133199218441.48284948254555
0.0492.68471413977851.75005107354164
0.0593.5147112985441.85256877571873
0.0694.30798093358721.79198040440524
0.0795.01918306570071.61507717056406
0.0895.62609687868261.39142168067540
0.0996.12863589927641.18310843975270
0.196.5421332120221.02690270926255
0.1196.88861780776790.931436642120769
0.1297.18968328878690.886103475640784
0.1397.46254874605460.873193628283474
0.1497.71905080952630.87751769384124
0.1597.96645307664650.889615947618925
0.1698.20895504426780.905593268442205
0.1798.44914775281030.925446596169
0.1898.68904894709320.951787499990851
0.1998.93062486647440.986661663577875
0.299.17586703624191.03087024804533
0.2199.4265739243491.08267110377807
0.2299.68401310963041.13798207736778
0.2399.94862185615681.19136766861457
0.24100.2198541776641.23780651604898
0.25100.4962175079411.27297879527954
0.26100.7754813665171.29417439139915
0.27101.0549989072651.30059608426643
0.28101.3320658373201.29289163117771
0.29101.6042468566851.27359180577619
0.3101.8696193804281.24584924315573
0.31102.1269091917391.21306637884283
0.32102.3755164486371.17868086386222
0.33102.6154495853761.14560232112868
0.34102.8471975072931.11590439607577
0.35103.0715763398201.09061714899966
0.36103.2895855855061.07008355324518
0.37103.5023003553291.05395431830506
0.38103.7108131034351.04244716077885
0.39103.9162230579541.03506052005992
0.4104.1196580854031.03254435645363
0.41104.3223054965411.03584292680257
0.42104.5254273220171.04545233754639
0.43104.7303418266821.06209265512353
0.44104.9383644579541.08599408900798
0.45105.1507146800171.11612875801548
0.46105.3684065839931.15100177330362
0.47105.5921478626741.18838467286940
0.48105.8222721968761.22570702162298
0.49106.0587244551241.26054093318660
0.5106.3011078716991.29092887631409
0.51106.5487898557131.31595973334757
0.52106.8010507661961.33550644436285
0.53107.0572499990191.35052399346781
0.54107.3169776605431.36327120149813
0.55107.5801590400881.3756966039408
0.56107.8470837481221.39071975546894
0.57108.1183420572051.41000116478919
0.58108.3946672446331.43435350802699
0.59108.6767029358471.46303238556806
0.6108.9647353017401.49323224729946
0.61109.2584466604971.52067947587677
0.62109.5567541251781.54027725180528
0.63109.8577899375371.54704050464622
0.64110.1590573756061.53711032613020
0.65110.4577601536361.50928375475932
0.66110.7512609758121.46501212225344
0.67111.0375863846071.40866744746468
0.68111.3158708674941.34770929387217
0.69111.5866315713531.29088366022566
0.7111.8517892808491.24686386524306
0.71112.1143987888061.22226243841344
0.72112.3781137748181.22005843832118
0.73112.6464747843291.23755885889127
0.74112.9221588928501.26798515685606
0.75113.2063523108271.30108107499071
0.76113.4983933409431.32602414203577
0.77113.7957817163791.33334609338449
0.78114.0945710685421.31705370661441
0.79114.3900742184271.27526594695478
0.8114.6777422381281.21086688711568
0.81114.9540506344151.13057472871731
0.82115.2172475992441.04379367144036
0.83115.467874710320.961055942866622
0.84115.7090227161560.8928491719543
0.85115.9462928303790.848786372838795
0.86116.1873832179540.836529364404669
0.87116.4411553466280.859577452292002
0.88116.7160625941800.913693527651146
0.89117.0180660150680.984594361480991
0.9117.3486595426621.04924893824466
0.91117.7042421642701.08281462917707
0.92118.0784764952751.06968571825373
0.93118.4690151467921.01630189805309
0.94118.8885926448510.96370567866811
0.95119.3775360880300.991933280463984
0.96120.0097105323311.18021181664503
0.97120.8751728940031.51166640993254
0.98122.0089607980561.85943140386468
0.99123.2426801482892.11652532883272

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 90.6612246981123 & 0.65527637344925 \tabularnewline
0.02 & 91.179379885712 & 1.08833986007020 \tabularnewline
0.03 & 91.8813319921844 & 1.48284948254555 \tabularnewline
0.04 & 92.6847141397785 & 1.75005107354164 \tabularnewline
0.05 & 93.514711298544 & 1.85256877571873 \tabularnewline
0.06 & 94.3079809335872 & 1.79198040440524 \tabularnewline
0.07 & 95.0191830657007 & 1.61507717056406 \tabularnewline
0.08 & 95.6260968786826 & 1.39142168067540 \tabularnewline
0.09 & 96.1286358992764 & 1.18310843975270 \tabularnewline
0.1 & 96.542133212022 & 1.02690270926255 \tabularnewline
0.11 & 96.8886178077679 & 0.931436642120769 \tabularnewline
0.12 & 97.1896832887869 & 0.886103475640784 \tabularnewline
0.13 & 97.4625487460546 & 0.873193628283474 \tabularnewline
0.14 & 97.7190508095263 & 0.87751769384124 \tabularnewline
0.15 & 97.9664530766465 & 0.889615947618925 \tabularnewline
0.16 & 98.2089550442678 & 0.905593268442205 \tabularnewline
0.17 & 98.4491477528103 & 0.925446596169 \tabularnewline
0.18 & 98.6890489470932 & 0.951787499990851 \tabularnewline
0.19 & 98.9306248664744 & 0.986661663577875 \tabularnewline
0.2 & 99.1758670362419 & 1.03087024804533 \tabularnewline
0.21 & 99.426573924349 & 1.08267110377807 \tabularnewline
0.22 & 99.6840131096304 & 1.13798207736778 \tabularnewline
0.23 & 99.9486218561568 & 1.19136766861457 \tabularnewline
0.24 & 100.219854177664 & 1.23780651604898 \tabularnewline
0.25 & 100.496217507941 & 1.27297879527954 \tabularnewline
0.26 & 100.775481366517 & 1.29417439139915 \tabularnewline
0.27 & 101.054998907265 & 1.30059608426643 \tabularnewline
0.28 & 101.332065837320 & 1.29289163117771 \tabularnewline
0.29 & 101.604246856685 & 1.27359180577619 \tabularnewline
0.3 & 101.869619380428 & 1.24584924315573 \tabularnewline
0.31 & 102.126909191739 & 1.21306637884283 \tabularnewline
0.32 & 102.375516448637 & 1.17868086386222 \tabularnewline
0.33 & 102.615449585376 & 1.14560232112868 \tabularnewline
0.34 & 102.847197507293 & 1.11590439607577 \tabularnewline
0.35 & 103.071576339820 & 1.09061714899966 \tabularnewline
0.36 & 103.289585585506 & 1.07008355324518 \tabularnewline
0.37 & 103.502300355329 & 1.05395431830506 \tabularnewline
0.38 & 103.710813103435 & 1.04244716077885 \tabularnewline
0.39 & 103.916223057954 & 1.03506052005992 \tabularnewline
0.4 & 104.119658085403 & 1.03254435645363 \tabularnewline
0.41 & 104.322305496541 & 1.03584292680257 \tabularnewline
0.42 & 104.525427322017 & 1.04545233754639 \tabularnewline
0.43 & 104.730341826682 & 1.06209265512353 \tabularnewline
0.44 & 104.938364457954 & 1.08599408900798 \tabularnewline
0.45 & 105.150714680017 & 1.11612875801548 \tabularnewline
0.46 & 105.368406583993 & 1.15100177330362 \tabularnewline
0.47 & 105.592147862674 & 1.18838467286940 \tabularnewline
0.48 & 105.822272196876 & 1.22570702162298 \tabularnewline
0.49 & 106.058724455124 & 1.26054093318660 \tabularnewline
0.5 & 106.301107871699 & 1.29092887631409 \tabularnewline
0.51 & 106.548789855713 & 1.31595973334757 \tabularnewline
0.52 & 106.801050766196 & 1.33550644436285 \tabularnewline
0.53 & 107.057249999019 & 1.35052399346781 \tabularnewline
0.54 & 107.316977660543 & 1.36327120149813 \tabularnewline
0.55 & 107.580159040088 & 1.3756966039408 \tabularnewline
0.56 & 107.847083748122 & 1.39071975546894 \tabularnewline
0.57 & 108.118342057205 & 1.41000116478919 \tabularnewline
0.58 & 108.394667244633 & 1.43435350802699 \tabularnewline
0.59 & 108.676702935847 & 1.46303238556806 \tabularnewline
0.6 & 108.964735301740 & 1.49323224729946 \tabularnewline
0.61 & 109.258446660497 & 1.52067947587677 \tabularnewline
0.62 & 109.556754125178 & 1.54027725180528 \tabularnewline
0.63 & 109.857789937537 & 1.54704050464622 \tabularnewline
0.64 & 110.159057375606 & 1.53711032613020 \tabularnewline
0.65 & 110.457760153636 & 1.50928375475932 \tabularnewline
0.66 & 110.751260975812 & 1.46501212225344 \tabularnewline
0.67 & 111.037586384607 & 1.40866744746468 \tabularnewline
0.68 & 111.315870867494 & 1.34770929387217 \tabularnewline
0.69 & 111.586631571353 & 1.29088366022566 \tabularnewline
0.7 & 111.851789280849 & 1.24686386524306 \tabularnewline
0.71 & 112.114398788806 & 1.22226243841344 \tabularnewline
0.72 & 112.378113774818 & 1.22005843832118 \tabularnewline
0.73 & 112.646474784329 & 1.23755885889127 \tabularnewline
0.74 & 112.922158892850 & 1.26798515685606 \tabularnewline
0.75 & 113.206352310827 & 1.30108107499071 \tabularnewline
0.76 & 113.498393340943 & 1.32602414203577 \tabularnewline
0.77 & 113.795781716379 & 1.33334609338449 \tabularnewline
0.78 & 114.094571068542 & 1.31705370661441 \tabularnewline
0.79 & 114.390074218427 & 1.27526594695478 \tabularnewline
0.8 & 114.677742238128 & 1.21086688711568 \tabularnewline
0.81 & 114.954050634415 & 1.13057472871731 \tabularnewline
0.82 & 115.217247599244 & 1.04379367144036 \tabularnewline
0.83 & 115.46787471032 & 0.961055942866622 \tabularnewline
0.84 & 115.709022716156 & 0.8928491719543 \tabularnewline
0.85 & 115.946292830379 & 0.848786372838795 \tabularnewline
0.86 & 116.187383217954 & 0.836529364404669 \tabularnewline
0.87 & 116.441155346628 & 0.859577452292002 \tabularnewline
0.88 & 116.716062594180 & 0.913693527651146 \tabularnewline
0.89 & 117.018066015068 & 0.984594361480991 \tabularnewline
0.9 & 117.348659542662 & 1.04924893824466 \tabularnewline
0.91 & 117.704242164270 & 1.08281462917707 \tabularnewline
0.92 & 118.078476495275 & 1.06968571825373 \tabularnewline
0.93 & 118.469015146792 & 1.01630189805309 \tabularnewline
0.94 & 118.888592644851 & 0.96370567866811 \tabularnewline
0.95 & 119.377536088030 & 0.991933280463984 \tabularnewline
0.96 & 120.009710532331 & 1.18021181664503 \tabularnewline
0.97 & 120.875172894003 & 1.51166640993254 \tabularnewline
0.98 & 122.008960798056 & 1.85943140386468 \tabularnewline
0.99 & 123.242680148289 & 2.11652532883272 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=17058&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]90.6612246981123[/C][C]0.65527637344925[/C][/ROW]
[ROW][C]0.02[/C][C]91.179379885712[/C][C]1.08833986007020[/C][/ROW]
[ROW][C]0.03[/C][C]91.8813319921844[/C][C]1.48284948254555[/C][/ROW]
[ROW][C]0.04[/C][C]92.6847141397785[/C][C]1.75005107354164[/C][/ROW]
[ROW][C]0.05[/C][C]93.514711298544[/C][C]1.85256877571873[/C][/ROW]
[ROW][C]0.06[/C][C]94.3079809335872[/C][C]1.79198040440524[/C][/ROW]
[ROW][C]0.07[/C][C]95.0191830657007[/C][C]1.61507717056406[/C][/ROW]
[ROW][C]0.08[/C][C]95.6260968786826[/C][C]1.39142168067540[/C][/ROW]
[ROW][C]0.09[/C][C]96.1286358992764[/C][C]1.18310843975270[/C][/ROW]
[ROW][C]0.1[/C][C]96.542133212022[/C][C]1.02690270926255[/C][/ROW]
[ROW][C]0.11[/C][C]96.8886178077679[/C][C]0.931436642120769[/C][/ROW]
[ROW][C]0.12[/C][C]97.1896832887869[/C][C]0.886103475640784[/C][/ROW]
[ROW][C]0.13[/C][C]97.4625487460546[/C][C]0.873193628283474[/C][/ROW]
[ROW][C]0.14[/C][C]97.7190508095263[/C][C]0.87751769384124[/C][/ROW]
[ROW][C]0.15[/C][C]97.9664530766465[/C][C]0.889615947618925[/C][/ROW]
[ROW][C]0.16[/C][C]98.2089550442678[/C][C]0.905593268442205[/C][/ROW]
[ROW][C]0.17[/C][C]98.4491477528103[/C][C]0.925446596169[/C][/ROW]
[ROW][C]0.18[/C][C]98.6890489470932[/C][C]0.951787499990851[/C][/ROW]
[ROW][C]0.19[/C][C]98.9306248664744[/C][C]0.986661663577875[/C][/ROW]
[ROW][C]0.2[/C][C]99.1758670362419[/C][C]1.03087024804533[/C][/ROW]
[ROW][C]0.21[/C][C]99.426573924349[/C][C]1.08267110377807[/C][/ROW]
[ROW][C]0.22[/C][C]99.6840131096304[/C][C]1.13798207736778[/C][/ROW]
[ROW][C]0.23[/C][C]99.9486218561568[/C][C]1.19136766861457[/C][/ROW]
[ROW][C]0.24[/C][C]100.219854177664[/C][C]1.23780651604898[/C][/ROW]
[ROW][C]0.25[/C][C]100.496217507941[/C][C]1.27297879527954[/C][/ROW]
[ROW][C]0.26[/C][C]100.775481366517[/C][C]1.29417439139915[/C][/ROW]
[ROW][C]0.27[/C][C]101.054998907265[/C][C]1.30059608426643[/C][/ROW]
[ROW][C]0.28[/C][C]101.332065837320[/C][C]1.29289163117771[/C][/ROW]
[ROW][C]0.29[/C][C]101.604246856685[/C][C]1.27359180577619[/C][/ROW]
[ROW][C]0.3[/C][C]101.869619380428[/C][C]1.24584924315573[/C][/ROW]
[ROW][C]0.31[/C][C]102.126909191739[/C][C]1.21306637884283[/C][/ROW]
[ROW][C]0.32[/C][C]102.375516448637[/C][C]1.17868086386222[/C][/ROW]
[ROW][C]0.33[/C][C]102.615449585376[/C][C]1.14560232112868[/C][/ROW]
[ROW][C]0.34[/C][C]102.847197507293[/C][C]1.11590439607577[/C][/ROW]
[ROW][C]0.35[/C][C]103.071576339820[/C][C]1.09061714899966[/C][/ROW]
[ROW][C]0.36[/C][C]103.289585585506[/C][C]1.07008355324518[/C][/ROW]
[ROW][C]0.37[/C][C]103.502300355329[/C][C]1.05395431830506[/C][/ROW]
[ROW][C]0.38[/C][C]103.710813103435[/C][C]1.04244716077885[/C][/ROW]
[ROW][C]0.39[/C][C]103.916223057954[/C][C]1.03506052005992[/C][/ROW]
[ROW][C]0.4[/C][C]104.119658085403[/C][C]1.03254435645363[/C][/ROW]
[ROW][C]0.41[/C][C]104.322305496541[/C][C]1.03584292680257[/C][/ROW]
[ROW][C]0.42[/C][C]104.525427322017[/C][C]1.04545233754639[/C][/ROW]
[ROW][C]0.43[/C][C]104.730341826682[/C][C]1.06209265512353[/C][/ROW]
[ROW][C]0.44[/C][C]104.938364457954[/C][C]1.08599408900798[/C][/ROW]
[ROW][C]0.45[/C][C]105.150714680017[/C][C]1.11612875801548[/C][/ROW]
[ROW][C]0.46[/C][C]105.368406583993[/C][C]1.15100177330362[/C][/ROW]
[ROW][C]0.47[/C][C]105.592147862674[/C][C]1.18838467286940[/C][/ROW]
[ROW][C]0.48[/C][C]105.822272196876[/C][C]1.22570702162298[/C][/ROW]
[ROW][C]0.49[/C][C]106.058724455124[/C][C]1.26054093318660[/C][/ROW]
[ROW][C]0.5[/C][C]106.301107871699[/C][C]1.29092887631409[/C][/ROW]
[ROW][C]0.51[/C][C]106.548789855713[/C][C]1.31595973334757[/C][/ROW]
[ROW][C]0.52[/C][C]106.801050766196[/C][C]1.33550644436285[/C][/ROW]
[ROW][C]0.53[/C][C]107.057249999019[/C][C]1.35052399346781[/C][/ROW]
[ROW][C]0.54[/C][C]107.316977660543[/C][C]1.36327120149813[/C][/ROW]
[ROW][C]0.55[/C][C]107.580159040088[/C][C]1.3756966039408[/C][/ROW]
[ROW][C]0.56[/C][C]107.847083748122[/C][C]1.39071975546894[/C][/ROW]
[ROW][C]0.57[/C][C]108.118342057205[/C][C]1.41000116478919[/C][/ROW]
[ROW][C]0.58[/C][C]108.394667244633[/C][C]1.43435350802699[/C][/ROW]
[ROW][C]0.59[/C][C]108.676702935847[/C][C]1.46303238556806[/C][/ROW]
[ROW][C]0.6[/C][C]108.964735301740[/C][C]1.49323224729946[/C][/ROW]
[ROW][C]0.61[/C][C]109.258446660497[/C][C]1.52067947587677[/C][/ROW]
[ROW][C]0.62[/C][C]109.556754125178[/C][C]1.54027725180528[/C][/ROW]
[ROW][C]0.63[/C][C]109.857789937537[/C][C]1.54704050464622[/C][/ROW]
[ROW][C]0.64[/C][C]110.159057375606[/C][C]1.53711032613020[/C][/ROW]
[ROW][C]0.65[/C][C]110.457760153636[/C][C]1.50928375475932[/C][/ROW]
[ROW][C]0.66[/C][C]110.751260975812[/C][C]1.46501212225344[/C][/ROW]
[ROW][C]0.67[/C][C]111.037586384607[/C][C]1.40866744746468[/C][/ROW]
[ROW][C]0.68[/C][C]111.315870867494[/C][C]1.34770929387217[/C][/ROW]
[ROW][C]0.69[/C][C]111.586631571353[/C][C]1.29088366022566[/C][/ROW]
[ROW][C]0.7[/C][C]111.851789280849[/C][C]1.24686386524306[/C][/ROW]
[ROW][C]0.71[/C][C]112.114398788806[/C][C]1.22226243841344[/C][/ROW]
[ROW][C]0.72[/C][C]112.378113774818[/C][C]1.22005843832118[/C][/ROW]
[ROW][C]0.73[/C][C]112.646474784329[/C][C]1.23755885889127[/C][/ROW]
[ROW][C]0.74[/C][C]112.922158892850[/C][C]1.26798515685606[/C][/ROW]
[ROW][C]0.75[/C][C]113.206352310827[/C][C]1.30108107499071[/C][/ROW]
[ROW][C]0.76[/C][C]113.498393340943[/C][C]1.32602414203577[/C][/ROW]
[ROW][C]0.77[/C][C]113.795781716379[/C][C]1.33334609338449[/C][/ROW]
[ROW][C]0.78[/C][C]114.094571068542[/C][C]1.31705370661441[/C][/ROW]
[ROW][C]0.79[/C][C]114.390074218427[/C][C]1.27526594695478[/C][/ROW]
[ROW][C]0.8[/C][C]114.677742238128[/C][C]1.21086688711568[/C][/ROW]
[ROW][C]0.81[/C][C]114.954050634415[/C][C]1.13057472871731[/C][/ROW]
[ROW][C]0.82[/C][C]115.217247599244[/C][C]1.04379367144036[/C][/ROW]
[ROW][C]0.83[/C][C]115.46787471032[/C][C]0.961055942866622[/C][/ROW]
[ROW][C]0.84[/C][C]115.709022716156[/C][C]0.8928491719543[/C][/ROW]
[ROW][C]0.85[/C][C]115.946292830379[/C][C]0.848786372838795[/C][/ROW]
[ROW][C]0.86[/C][C]116.187383217954[/C][C]0.836529364404669[/C][/ROW]
[ROW][C]0.87[/C][C]116.441155346628[/C][C]0.859577452292002[/C][/ROW]
[ROW][C]0.88[/C][C]116.716062594180[/C][C]0.913693527651146[/C][/ROW]
[ROW][C]0.89[/C][C]117.018066015068[/C][C]0.984594361480991[/C][/ROW]
[ROW][C]0.9[/C][C]117.348659542662[/C][C]1.04924893824466[/C][/ROW]
[ROW][C]0.91[/C][C]117.704242164270[/C][C]1.08281462917707[/C][/ROW]
[ROW][C]0.92[/C][C]118.078476495275[/C][C]1.06968571825373[/C][/ROW]
[ROW][C]0.93[/C][C]118.469015146792[/C][C]1.01630189805309[/C][/ROW]
[ROW][C]0.94[/C][C]118.888592644851[/C][C]0.96370567866811[/C][/ROW]
[ROW][C]0.95[/C][C]119.377536088030[/C][C]0.991933280463984[/C][/ROW]
[ROW][C]0.96[/C][C]120.009710532331[/C][C]1.18021181664503[/C][/ROW]
[ROW][C]0.97[/C][C]120.875172894003[/C][C]1.51166640993254[/C][/ROW]
[ROW][C]0.98[/C][C]122.008960798056[/C][C]1.85943140386468[/C][/ROW]
[ROW][C]0.99[/C][C]123.242680148289[/C][C]2.11652532883272[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=17058&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=17058&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
0.0190.66122469811230.65527637344925
0.0291.1793798857121.08833986007020
0.0391.88133199218441.48284948254555
0.0492.68471413977851.75005107354164
0.0593.5147112985441.85256877571873
0.0694.30798093358721.79198040440524
0.0795.01918306570071.61507717056406
0.0895.62609687868261.39142168067540
0.0996.12863589927641.18310843975270
0.196.5421332120221.02690270926255
0.1196.88861780776790.931436642120769
0.1297.18968328878690.886103475640784
0.1397.46254874605460.873193628283474
0.1497.71905080952630.87751769384124
0.1597.96645307664650.889615947618925
0.1698.20895504426780.905593268442205
0.1798.44914775281030.925446596169
0.1898.68904894709320.951787499990851
0.1998.93062486647440.986661663577875
0.299.17586703624191.03087024804533
0.2199.4265739243491.08267110377807
0.2299.68401310963041.13798207736778
0.2399.94862185615681.19136766861457
0.24100.2198541776641.23780651604898
0.25100.4962175079411.27297879527954
0.26100.7754813665171.29417439139915
0.27101.0549989072651.30059608426643
0.28101.3320658373201.29289163117771
0.29101.6042468566851.27359180577619
0.3101.8696193804281.24584924315573
0.31102.1269091917391.21306637884283
0.32102.3755164486371.17868086386222
0.33102.6154495853761.14560232112868
0.34102.8471975072931.11590439607577
0.35103.0715763398201.09061714899966
0.36103.2895855855061.07008355324518
0.37103.5023003553291.05395431830506
0.38103.7108131034351.04244716077885
0.39103.9162230579541.03506052005992
0.4104.1196580854031.03254435645363
0.41104.3223054965411.03584292680257
0.42104.5254273220171.04545233754639
0.43104.7303418266821.06209265512353
0.44104.9383644579541.08599408900798
0.45105.1507146800171.11612875801548
0.46105.3684065839931.15100177330362
0.47105.5921478626741.18838467286940
0.48105.8222721968761.22570702162298
0.49106.0587244551241.26054093318660
0.5106.3011078716991.29092887631409
0.51106.5487898557131.31595973334757
0.52106.8010507661961.33550644436285
0.53107.0572499990191.35052399346781
0.54107.3169776605431.36327120149813
0.55107.5801590400881.3756966039408
0.56107.8470837481221.39071975546894
0.57108.1183420572051.41000116478919
0.58108.3946672446331.43435350802699
0.59108.6767029358471.46303238556806
0.6108.9647353017401.49323224729946
0.61109.2584466604971.52067947587677
0.62109.5567541251781.54027725180528
0.63109.8577899375371.54704050464622
0.64110.1590573756061.53711032613020
0.65110.4577601536361.50928375475932
0.66110.7512609758121.46501212225344
0.67111.0375863846071.40866744746468
0.68111.3158708674941.34770929387217
0.69111.5866315713531.29088366022566
0.7111.8517892808491.24686386524306
0.71112.1143987888061.22226243841344
0.72112.3781137748181.22005843832118
0.73112.6464747843291.23755885889127
0.74112.9221588928501.26798515685606
0.75113.2063523108271.30108107499071
0.76113.4983933409431.32602414203577
0.77113.7957817163791.33334609338449
0.78114.0945710685421.31705370661441
0.79114.3900742184271.27526594695478
0.8114.6777422381281.21086688711568
0.81114.9540506344151.13057472871731
0.82115.2172475992441.04379367144036
0.83115.467874710320.961055942866622
0.84115.7090227161560.8928491719543
0.85115.9462928303790.848786372838795
0.86116.1873832179540.836529364404669
0.87116.4411553466280.859577452292002
0.88116.7160625941800.913693527651146
0.89117.0180660150680.984594361480991
0.9117.3486595426621.04924893824466
0.91117.7042421642701.08281462917707
0.92118.0784764952751.06968571825373
0.93118.4690151467921.01630189805309
0.94118.8885926448510.96370567866811
0.95119.3775360880300.991933280463984
0.96120.0097105323311.18021181664503
0.97120.8751728940031.51166640993254
0.98122.0089607980561.85943140386468
0.99123.2426801482892.11652532883272


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')