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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, 12 Feb 2015 18:55:18 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/12/t1423767332y5dkhdw66d2v01r.htm/, Retrieved Tue, 21 May 2024 16:02:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277260, Retrieved Tue, 21 May 2024 16:02:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

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] [] [2015-02-12 18:55:18] [aed7930eb470b174eb4d45bdfa14c6e0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
100.8
100.9
101.5
101.8
102.3
102.7
103.3
104.3
103.9
104.1
104.5
104
105.3
105.3
105.7
105.7
105.3
105.6
106.5
107
106.6
106.4
105.6
105.8
106.3
105.2
104.1
103.4
102.6
101.6
101.7
101
100.7
100.8
100.3
99.8
100
100.3
100.1
100.8
100.1
99.9
100.5
100.6
99.9
99.5
99.2
98.9
98.8
98.4
98.9
98.4
98.3
98.1
98.2
97.6
96.8
96.6
96
94.9
95.2
95
93.7
92.9
92.3
93.2
89.6
89.2
88.7
88.4
88.9
88.3
85.8
86.8
86.9
85.7
84.5
84
85
85.2
85
84.8
84.5
85

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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277260&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277260&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277260&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0184.16318403493190.372441061634731
0.0284.37620049028350.265581800900001
0.0384.56135809411570.244078444890672
0.0484.7150038218560.262702776944691
0.0584.85560562538310.296107960296825
0.0684.99951833359230.363067463524266
0.0785.16118042725550.478221452725926
0.0885.3542208396180.634702312756814
0.0985.58903327127450.814659739446339
0.185.87029732344350.997508809643241
0.1186.19660784978091.16642814702718
0.1286.56208833614761.31140720081551
0.1386.95897422907721.43196175749943
0.1487.38016867158571.53564835293859
0.1587.82104984152871.63603095676991
0.1688.28012580915641.74646435192512
0.1788.75848127357941.87457976729153
0.1889.25831477863982.01836337779017
0.1989.78112775470622.16633045520224
0.290.32619558616162.3018146331774
0.2190.88979777329382.40845382171128
0.2291.46537951542162.47425065883296
0.2392.04449101587652.49441271673909
0.2492.61812690492922.47128159281132
0.2593.17802977923192.41259617920488
0.2693.71761710890342.32873608930097
0.2794.23237371271492.22984804432353
0.2894.71974122369672.12418664798484
0.2995.17866896503182.01613500882804
0.395.6090408395631.90766559210146
0.3196.01116780352531.79829863010853
0.3296.38546369507291.68729626748587
0.3396.73233717296771.57400829865574
0.3497.05226130204341.45904068411448
0.3597.34594005681121.34425594200504
0.3697.61448099637191.23293654264922
0.3797.85950002414481.12864974573718
0.3898.08311701683591.03469221727383
0.3998.28783850304840.953350252528053
0.498.47635543017050.88567258055815
0.4198.65130373411760.830770762488535
0.4298.81504040435040.786670807759573
0.4398.96947934389880.750469172956829
0.4499.11601369095650.718835382206317
0.4599.25552989205110.689221847895121
0.4699.38849911624870.659456198995816
0.4799.51511776751030.62887151999825
0.4899.6354631637590.597367094386348
0.4999.74963306864540.565822362790417
0.599.85784697471280.535159011866579
0.5199.96049983771230.50693777149019
0.52100.0581718341320.482085696337718
0.53100.1516074751670.461580691646819
0.54100.2416819473990.445653168531416
0.55100.3293712814290.434846126285938
0.56100.4157368949910.429188329919663
0.57100.5019264902320.429161372080247
0.58100.5891850408080.435394864423927
0.59100.678864227750.448230556357446
0.6100.7724176587740.468542411003292
0.61100.8713725197240.496542720506826
0.62100.9772744988780.531972938944345
0.63101.0916095506320.574252426083484
0.64101.2157109994120.621810249308574
0.65101.3506622435210.673246889684459
0.66101.4972040287610.726364025848744
0.67101.6556525047220.779194240546392
0.68101.8258323646080.829096493590476
0.69102.0070301897260.873552631636187
0.7102.1979770012760.910001100709452
0.71102.3968741233670.936025111021995
0.72102.6014790503890.949754252649825
0.73102.8092637354850.950090484558685
0.74103.0176436218140.937027215518839
0.75103.2242524716850.912341712578333
0.76103.4272113514270.878885399381793
0.77103.6253205729510.840627182184635
0.78103.818103499760.80174252334872
0.79104.0056598816860.765426500360365
0.8104.1883427163830.733134003679809
0.81104.3663412256540.703461318124637
0.82104.5393059999140.673089039576042
0.83104.7061619563870.637755403282594
0.84104.8652066720350.594430812356094
0.85105.0144999630330.542415482285391
0.86105.1524552099760.483870374881197
0.87105.2784870151150.423700393804597
0.88105.3935661159730.368041814624641
0.89105.5005458141040.323781120603091
0.9105.6040995612690.297115132491722
0.91105.7100496981120.291906174600395
0.92105.8239053512070.305208154085004
0.93105.9487862669390.325087051797503
0.94106.083685389960.333799426956113
0.95106.2238937049930.316994640596124
0.96106.3654349238520.274936490154255
0.97106.5126064543780.231530066828431
0.98106.6791296474880.235367742076608
0.99106.8628784990510.311419714954081

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 84.1631840349319 & 0.372441061634731 \tabularnewline
0.02 & 84.3762004902835 & 0.265581800900001 \tabularnewline
0.03 & 84.5613580941157 & 0.244078444890672 \tabularnewline
0.04 & 84.715003821856 & 0.262702776944691 \tabularnewline
0.05 & 84.8556056253831 & 0.296107960296825 \tabularnewline
0.06 & 84.9995183335923 & 0.363067463524266 \tabularnewline
0.07 & 85.1611804272555 & 0.478221452725926 \tabularnewline
0.08 & 85.354220839618 & 0.634702312756814 \tabularnewline
0.09 & 85.5890332712745 & 0.814659739446339 \tabularnewline
0.1 & 85.8702973234435 & 0.997508809643241 \tabularnewline
0.11 & 86.1966078497809 & 1.16642814702718 \tabularnewline
0.12 & 86.5620883361476 & 1.31140720081551 \tabularnewline
0.13 & 86.9589742290772 & 1.43196175749943 \tabularnewline
0.14 & 87.3801686715857 & 1.53564835293859 \tabularnewline
0.15 & 87.8210498415287 & 1.63603095676991 \tabularnewline
0.16 & 88.2801258091564 & 1.74646435192512 \tabularnewline
0.17 & 88.7584812735794 & 1.87457976729153 \tabularnewline
0.18 & 89.2583147786398 & 2.01836337779017 \tabularnewline
0.19 & 89.7811277547062 & 2.16633045520224 \tabularnewline
0.2 & 90.3261955861616 & 2.3018146331774 \tabularnewline
0.21 & 90.8897977732938 & 2.40845382171128 \tabularnewline
0.22 & 91.4653795154216 & 2.47425065883296 \tabularnewline
0.23 & 92.0444910158765 & 2.49441271673909 \tabularnewline
0.24 & 92.6181269049292 & 2.47128159281132 \tabularnewline
0.25 & 93.1780297792319 & 2.41259617920488 \tabularnewline
0.26 & 93.7176171089034 & 2.32873608930097 \tabularnewline
0.27 & 94.2323737127149 & 2.22984804432353 \tabularnewline
0.28 & 94.7197412236967 & 2.12418664798484 \tabularnewline
0.29 & 95.1786689650318 & 2.01613500882804 \tabularnewline
0.3 & 95.609040839563 & 1.90766559210146 \tabularnewline
0.31 & 96.0111678035253 & 1.79829863010853 \tabularnewline
0.32 & 96.3854636950729 & 1.68729626748587 \tabularnewline
0.33 & 96.7323371729677 & 1.57400829865574 \tabularnewline
0.34 & 97.0522613020434 & 1.45904068411448 \tabularnewline
0.35 & 97.3459400568112 & 1.34425594200504 \tabularnewline
0.36 & 97.6144809963719 & 1.23293654264922 \tabularnewline
0.37 & 97.8595000241448 & 1.12864974573718 \tabularnewline
0.38 & 98.0831170168359 & 1.03469221727383 \tabularnewline
0.39 & 98.2878385030484 & 0.953350252528053 \tabularnewline
0.4 & 98.4763554301705 & 0.88567258055815 \tabularnewline
0.41 & 98.6513037341176 & 0.830770762488535 \tabularnewline
0.42 & 98.8150404043504 & 0.786670807759573 \tabularnewline
0.43 & 98.9694793438988 & 0.750469172956829 \tabularnewline
0.44 & 99.1160136909565 & 0.718835382206317 \tabularnewline
0.45 & 99.2555298920511 & 0.689221847895121 \tabularnewline
0.46 & 99.3884991162487 & 0.659456198995816 \tabularnewline
0.47 & 99.5151177675103 & 0.62887151999825 \tabularnewline
0.48 & 99.635463163759 & 0.597367094386348 \tabularnewline
0.49 & 99.7496330686454 & 0.565822362790417 \tabularnewline
0.5 & 99.8578469747128 & 0.535159011866579 \tabularnewline
0.51 & 99.9604998377123 & 0.50693777149019 \tabularnewline
0.52 & 100.058171834132 & 0.482085696337718 \tabularnewline
0.53 & 100.151607475167 & 0.461580691646819 \tabularnewline
0.54 & 100.241681947399 & 0.445653168531416 \tabularnewline
0.55 & 100.329371281429 & 0.434846126285938 \tabularnewline
0.56 & 100.415736894991 & 0.429188329919663 \tabularnewline
0.57 & 100.501926490232 & 0.429161372080247 \tabularnewline
0.58 & 100.589185040808 & 0.435394864423927 \tabularnewline
0.59 & 100.67886422775 & 0.448230556357446 \tabularnewline
0.6 & 100.772417658774 & 0.468542411003292 \tabularnewline
0.61 & 100.871372519724 & 0.496542720506826 \tabularnewline
0.62 & 100.977274498878 & 0.531972938944345 \tabularnewline
0.63 & 101.091609550632 & 0.574252426083484 \tabularnewline
0.64 & 101.215710999412 & 0.621810249308574 \tabularnewline
0.65 & 101.350662243521 & 0.673246889684459 \tabularnewline
0.66 & 101.497204028761 & 0.726364025848744 \tabularnewline
0.67 & 101.655652504722 & 0.779194240546392 \tabularnewline
0.68 & 101.825832364608 & 0.829096493590476 \tabularnewline
0.69 & 102.007030189726 & 0.873552631636187 \tabularnewline
0.7 & 102.197977001276 & 0.910001100709452 \tabularnewline
0.71 & 102.396874123367 & 0.936025111021995 \tabularnewline
0.72 & 102.601479050389 & 0.949754252649825 \tabularnewline
0.73 & 102.809263735485 & 0.950090484558685 \tabularnewline
0.74 & 103.017643621814 & 0.937027215518839 \tabularnewline
0.75 & 103.224252471685 & 0.912341712578333 \tabularnewline
0.76 & 103.427211351427 & 0.878885399381793 \tabularnewline
0.77 & 103.625320572951 & 0.840627182184635 \tabularnewline
0.78 & 103.81810349976 & 0.80174252334872 \tabularnewline
0.79 & 104.005659881686 & 0.765426500360365 \tabularnewline
0.8 & 104.188342716383 & 0.733134003679809 \tabularnewline
0.81 & 104.366341225654 & 0.703461318124637 \tabularnewline
0.82 & 104.539305999914 & 0.673089039576042 \tabularnewline
0.83 & 104.706161956387 & 0.637755403282594 \tabularnewline
0.84 & 104.865206672035 & 0.594430812356094 \tabularnewline
0.85 & 105.014499963033 & 0.542415482285391 \tabularnewline
0.86 & 105.152455209976 & 0.483870374881197 \tabularnewline
0.87 & 105.278487015115 & 0.423700393804597 \tabularnewline
0.88 & 105.393566115973 & 0.368041814624641 \tabularnewline
0.89 & 105.500545814104 & 0.323781120603091 \tabularnewline
0.9 & 105.604099561269 & 0.297115132491722 \tabularnewline
0.91 & 105.710049698112 & 0.291906174600395 \tabularnewline
0.92 & 105.823905351207 & 0.305208154085004 \tabularnewline
0.93 & 105.948786266939 & 0.325087051797503 \tabularnewline
0.94 & 106.08368538996 & 0.333799426956113 \tabularnewline
0.95 & 106.223893704993 & 0.316994640596124 \tabularnewline
0.96 & 106.365434923852 & 0.274936490154255 \tabularnewline
0.97 & 106.512606454378 & 0.231530066828431 \tabularnewline
0.98 & 106.679129647488 & 0.235367742076608 \tabularnewline
0.99 & 106.862878499051 & 0.311419714954081 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277260&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]84.1631840349319[/C][C]0.372441061634731[/C][/ROW]
[ROW][C]0.02[/C][C]84.3762004902835[/C][C]0.265581800900001[/C][/ROW]
[ROW][C]0.03[/C][C]84.5613580941157[/C][C]0.244078444890672[/C][/ROW]
[ROW][C]0.04[/C][C]84.715003821856[/C][C]0.262702776944691[/C][/ROW]
[ROW][C]0.05[/C][C]84.8556056253831[/C][C]0.296107960296825[/C][/ROW]
[ROW][C]0.06[/C][C]84.9995183335923[/C][C]0.363067463524266[/C][/ROW]
[ROW][C]0.07[/C][C]85.1611804272555[/C][C]0.478221452725926[/C][/ROW]
[ROW][C]0.08[/C][C]85.354220839618[/C][C]0.634702312756814[/C][/ROW]
[ROW][C]0.09[/C][C]85.5890332712745[/C][C]0.814659739446339[/C][/ROW]
[ROW][C]0.1[/C][C]85.8702973234435[/C][C]0.997508809643241[/C][/ROW]
[ROW][C]0.11[/C][C]86.1966078497809[/C][C]1.16642814702718[/C][/ROW]
[ROW][C]0.12[/C][C]86.5620883361476[/C][C]1.31140720081551[/C][/ROW]
[ROW][C]0.13[/C][C]86.9589742290772[/C][C]1.43196175749943[/C][/ROW]
[ROW][C]0.14[/C][C]87.3801686715857[/C][C]1.53564835293859[/C][/ROW]
[ROW][C]0.15[/C][C]87.8210498415287[/C][C]1.63603095676991[/C][/ROW]
[ROW][C]0.16[/C][C]88.2801258091564[/C][C]1.74646435192512[/C][/ROW]
[ROW][C]0.17[/C][C]88.7584812735794[/C][C]1.87457976729153[/C][/ROW]
[ROW][C]0.18[/C][C]89.2583147786398[/C][C]2.01836337779017[/C][/ROW]
[ROW][C]0.19[/C][C]89.7811277547062[/C][C]2.16633045520224[/C][/ROW]
[ROW][C]0.2[/C][C]90.3261955861616[/C][C]2.3018146331774[/C][/ROW]
[ROW][C]0.21[/C][C]90.8897977732938[/C][C]2.40845382171128[/C][/ROW]
[ROW][C]0.22[/C][C]91.4653795154216[/C][C]2.47425065883296[/C][/ROW]
[ROW][C]0.23[/C][C]92.0444910158765[/C][C]2.49441271673909[/C][/ROW]
[ROW][C]0.24[/C][C]92.6181269049292[/C][C]2.47128159281132[/C][/ROW]
[ROW][C]0.25[/C][C]93.1780297792319[/C][C]2.41259617920488[/C][/ROW]
[ROW][C]0.26[/C][C]93.7176171089034[/C][C]2.32873608930097[/C][/ROW]
[ROW][C]0.27[/C][C]94.2323737127149[/C][C]2.22984804432353[/C][/ROW]
[ROW][C]0.28[/C][C]94.7197412236967[/C][C]2.12418664798484[/C][/ROW]
[ROW][C]0.29[/C][C]95.1786689650318[/C][C]2.01613500882804[/C][/ROW]
[ROW][C]0.3[/C][C]95.609040839563[/C][C]1.90766559210146[/C][/ROW]
[ROW][C]0.31[/C][C]96.0111678035253[/C][C]1.79829863010853[/C][/ROW]
[ROW][C]0.32[/C][C]96.3854636950729[/C][C]1.68729626748587[/C][/ROW]
[ROW][C]0.33[/C][C]96.7323371729677[/C][C]1.57400829865574[/C][/ROW]
[ROW][C]0.34[/C][C]97.0522613020434[/C][C]1.45904068411448[/C][/ROW]
[ROW][C]0.35[/C][C]97.3459400568112[/C][C]1.34425594200504[/C][/ROW]
[ROW][C]0.36[/C][C]97.6144809963719[/C][C]1.23293654264922[/C][/ROW]
[ROW][C]0.37[/C][C]97.8595000241448[/C][C]1.12864974573718[/C][/ROW]
[ROW][C]0.38[/C][C]98.0831170168359[/C][C]1.03469221727383[/C][/ROW]
[ROW][C]0.39[/C][C]98.2878385030484[/C][C]0.953350252528053[/C][/ROW]
[ROW][C]0.4[/C][C]98.4763554301705[/C][C]0.88567258055815[/C][/ROW]
[ROW][C]0.41[/C][C]98.6513037341176[/C][C]0.830770762488535[/C][/ROW]
[ROW][C]0.42[/C][C]98.8150404043504[/C][C]0.786670807759573[/C][/ROW]
[ROW][C]0.43[/C][C]98.9694793438988[/C][C]0.750469172956829[/C][/ROW]
[ROW][C]0.44[/C][C]99.1160136909565[/C][C]0.718835382206317[/C][/ROW]
[ROW][C]0.45[/C][C]99.2555298920511[/C][C]0.689221847895121[/C][/ROW]
[ROW][C]0.46[/C][C]99.3884991162487[/C][C]0.659456198995816[/C][/ROW]
[ROW][C]0.47[/C][C]99.5151177675103[/C][C]0.62887151999825[/C][/ROW]
[ROW][C]0.48[/C][C]99.635463163759[/C][C]0.597367094386348[/C][/ROW]
[ROW][C]0.49[/C][C]99.7496330686454[/C][C]0.565822362790417[/C][/ROW]
[ROW][C]0.5[/C][C]99.8578469747128[/C][C]0.535159011866579[/C][/ROW]
[ROW][C]0.51[/C][C]99.9604998377123[/C][C]0.50693777149019[/C][/ROW]
[ROW][C]0.52[/C][C]100.058171834132[/C][C]0.482085696337718[/C][/ROW]
[ROW][C]0.53[/C][C]100.151607475167[/C][C]0.461580691646819[/C][/ROW]
[ROW][C]0.54[/C][C]100.241681947399[/C][C]0.445653168531416[/C][/ROW]
[ROW][C]0.55[/C][C]100.329371281429[/C][C]0.434846126285938[/C][/ROW]
[ROW][C]0.56[/C][C]100.415736894991[/C][C]0.429188329919663[/C][/ROW]
[ROW][C]0.57[/C][C]100.501926490232[/C][C]0.429161372080247[/C][/ROW]
[ROW][C]0.58[/C][C]100.589185040808[/C][C]0.435394864423927[/C][/ROW]
[ROW][C]0.59[/C][C]100.67886422775[/C][C]0.448230556357446[/C][/ROW]
[ROW][C]0.6[/C][C]100.772417658774[/C][C]0.468542411003292[/C][/ROW]
[ROW][C]0.61[/C][C]100.871372519724[/C][C]0.496542720506826[/C][/ROW]
[ROW][C]0.62[/C][C]100.977274498878[/C][C]0.531972938944345[/C][/ROW]
[ROW][C]0.63[/C][C]101.091609550632[/C][C]0.574252426083484[/C][/ROW]
[ROW][C]0.64[/C][C]101.215710999412[/C][C]0.621810249308574[/C][/ROW]
[ROW][C]0.65[/C][C]101.350662243521[/C][C]0.673246889684459[/C][/ROW]
[ROW][C]0.66[/C][C]101.497204028761[/C][C]0.726364025848744[/C][/ROW]
[ROW][C]0.67[/C][C]101.655652504722[/C][C]0.779194240546392[/C][/ROW]
[ROW][C]0.68[/C][C]101.825832364608[/C][C]0.829096493590476[/C][/ROW]
[ROW][C]0.69[/C][C]102.007030189726[/C][C]0.873552631636187[/C][/ROW]
[ROW][C]0.7[/C][C]102.197977001276[/C][C]0.910001100709452[/C][/ROW]
[ROW][C]0.71[/C][C]102.396874123367[/C][C]0.936025111021995[/C][/ROW]
[ROW][C]0.72[/C][C]102.601479050389[/C][C]0.949754252649825[/C][/ROW]
[ROW][C]0.73[/C][C]102.809263735485[/C][C]0.950090484558685[/C][/ROW]
[ROW][C]0.74[/C][C]103.017643621814[/C][C]0.937027215518839[/C][/ROW]
[ROW][C]0.75[/C][C]103.224252471685[/C][C]0.912341712578333[/C][/ROW]
[ROW][C]0.76[/C][C]103.427211351427[/C][C]0.878885399381793[/C][/ROW]
[ROW][C]0.77[/C][C]103.625320572951[/C][C]0.840627182184635[/C][/ROW]
[ROW][C]0.78[/C][C]103.81810349976[/C][C]0.80174252334872[/C][/ROW]
[ROW][C]0.79[/C][C]104.005659881686[/C][C]0.765426500360365[/C][/ROW]
[ROW][C]0.8[/C][C]104.188342716383[/C][C]0.733134003679809[/C][/ROW]
[ROW][C]0.81[/C][C]104.366341225654[/C][C]0.703461318124637[/C][/ROW]
[ROW][C]0.82[/C][C]104.539305999914[/C][C]0.673089039576042[/C][/ROW]
[ROW][C]0.83[/C][C]104.706161956387[/C][C]0.637755403282594[/C][/ROW]
[ROW][C]0.84[/C][C]104.865206672035[/C][C]0.594430812356094[/C][/ROW]
[ROW][C]0.85[/C][C]105.014499963033[/C][C]0.542415482285391[/C][/ROW]
[ROW][C]0.86[/C][C]105.152455209976[/C][C]0.483870374881197[/C][/ROW]
[ROW][C]0.87[/C][C]105.278487015115[/C][C]0.423700393804597[/C][/ROW]
[ROW][C]0.88[/C][C]105.393566115973[/C][C]0.368041814624641[/C][/ROW]
[ROW][C]0.89[/C][C]105.500545814104[/C][C]0.323781120603091[/C][/ROW]
[ROW][C]0.9[/C][C]105.604099561269[/C][C]0.297115132491722[/C][/ROW]
[ROW][C]0.91[/C][C]105.710049698112[/C][C]0.291906174600395[/C][/ROW]
[ROW][C]0.92[/C][C]105.823905351207[/C][C]0.305208154085004[/C][/ROW]
[ROW][C]0.93[/C][C]105.948786266939[/C][C]0.325087051797503[/C][/ROW]
[ROW][C]0.94[/C][C]106.08368538996[/C][C]0.333799426956113[/C][/ROW]
[ROW][C]0.95[/C][C]106.223893704993[/C][C]0.316994640596124[/C][/ROW]
[ROW][C]0.96[/C][C]106.365434923852[/C][C]0.274936490154255[/C][/ROW]
[ROW][C]0.97[/C][C]106.512606454378[/C][C]0.231530066828431[/C][/ROW]
[ROW][C]0.98[/C][C]106.679129647488[/C][C]0.235367742076608[/C][/ROW]
[ROW][C]0.99[/C][C]106.862878499051[/C][C]0.311419714954081[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277260&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277260&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
0.0184.16318403493190.372441061634731
0.0284.37620049028350.265581800900001
0.0384.56135809411570.244078444890672
0.0484.7150038218560.262702776944691
0.0584.85560562538310.296107960296825
0.0684.99951833359230.363067463524266
0.0785.16118042725550.478221452725926
0.0885.3542208396180.634702312756814
0.0985.58903327127450.814659739446339
0.185.87029732344350.997508809643241
0.1186.19660784978091.16642814702718
0.1286.56208833614761.31140720081551
0.1386.95897422907721.43196175749943
0.1487.38016867158571.53564835293859
0.1587.82104984152871.63603095676991
0.1688.28012580915641.74646435192512
0.1788.75848127357941.87457976729153
0.1889.25831477863982.01836337779017
0.1989.78112775470622.16633045520224
0.290.32619558616162.3018146331774
0.2190.88979777329382.40845382171128
0.2291.46537951542162.47425065883296
0.2392.04449101587652.49441271673909
0.2492.61812690492922.47128159281132
0.2593.17802977923192.41259617920488
0.2693.71761710890342.32873608930097
0.2794.23237371271492.22984804432353
0.2894.71974122369672.12418664798484
0.2995.17866896503182.01613500882804
0.395.6090408395631.90766559210146
0.3196.01116780352531.79829863010853
0.3296.38546369507291.68729626748587
0.3396.73233717296771.57400829865574
0.3497.05226130204341.45904068411448
0.3597.34594005681121.34425594200504
0.3697.61448099637191.23293654264922
0.3797.85950002414481.12864974573718
0.3898.08311701683591.03469221727383
0.3998.28783850304840.953350252528053
0.498.47635543017050.88567258055815
0.4198.65130373411760.830770762488535
0.4298.81504040435040.786670807759573
0.4398.96947934389880.750469172956829
0.4499.11601369095650.718835382206317
0.4599.25552989205110.689221847895121
0.4699.38849911624870.659456198995816
0.4799.51511776751030.62887151999825
0.4899.6354631637590.597367094386348
0.4999.74963306864540.565822362790417
0.599.85784697471280.535159011866579
0.5199.96049983771230.50693777149019
0.52100.0581718341320.482085696337718
0.53100.1516074751670.461580691646819
0.54100.2416819473990.445653168531416
0.55100.3293712814290.434846126285938
0.56100.4157368949910.429188329919663
0.57100.5019264902320.429161372080247
0.58100.5891850408080.435394864423927
0.59100.678864227750.448230556357446
0.6100.7724176587740.468542411003292
0.61100.8713725197240.496542720506826
0.62100.9772744988780.531972938944345
0.63101.0916095506320.574252426083484
0.64101.2157109994120.621810249308574
0.65101.3506622435210.673246889684459
0.66101.4972040287610.726364025848744
0.67101.6556525047220.779194240546392
0.68101.8258323646080.829096493590476
0.69102.0070301897260.873552631636187
0.7102.1979770012760.910001100709452
0.71102.3968741233670.936025111021995
0.72102.6014790503890.949754252649825
0.73102.8092637354850.950090484558685
0.74103.0176436218140.937027215518839
0.75103.2242524716850.912341712578333
0.76103.4272113514270.878885399381793
0.77103.6253205729510.840627182184635
0.78103.818103499760.80174252334872
0.79104.0056598816860.765426500360365
0.8104.1883427163830.733134003679809
0.81104.3663412256540.703461318124637
0.82104.5393059999140.673089039576042
0.83104.7061619563870.637755403282594
0.84104.8652066720350.594430812356094
0.85105.0144999630330.542415482285391
0.86105.1524552099760.483870374881197
0.87105.2784870151150.423700393804597
0.88105.3935661159730.368041814624641
0.89105.5005458141040.323781120603091
0.9105.6040995612690.297115132491722
0.91105.7100496981120.291906174600395
0.92105.8239053512070.305208154085004
0.93105.9487862669390.325087051797503
0.94106.083685389960.333799426956113
0.95106.2238937049930.316994640596124
0.96106.3654349238520.274936490154255
0.97106.5126064543780.231530066828431
0.98106.6791296474880.235367742076608
0.99106.8628784990510.311419714954081


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):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')