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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 computationWed, 12 Oct 2011 05:45:00 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Oct/12/t1318412824k4pea4uieerh2cz.htm/, Retrieved Fri, 10 May 2024 15:42:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=128260, Retrieved Fri, 10 May 2024 15:42:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact151

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] [HD kwantielen 2] [2011-10-12 09:45:00] [4e392218a4dc028c31ee423f9fa38414] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7,6
7,4
7,3
7,1
6,9
6,8
7,5
7,6
7,8
8
8,1
8,2
8,3
8,2
8
7,9
7,6
7,6
8,3
8,4
8,4
8,4
8,4
8,6
8,9
8,8
8,3
7,5
7,2
7,4
8,8
9,3
9,3
8,7
8,2
8,3
8,5
8,6
8,5
8,2
8,1
7,9
8,6
8,7
8,7
8,5
8,4
8,5
8,7
8,7
8,6
8,5
8,3
8
8,2
8,1
8,1
8
7,9
7,9
8
8
7,9
8
7,7
7,2
7,5
7,3
7
7
7
7,2
7,3
7,1
6,8
6,4
6,1
6,5
7,7
7,9
7,5
6,9
6,6
6,9
7,7
8
8
7,7
7,3
7,4
8,1
8,3
8,1
7,9
7,9
8,3
8,6
8,7
8,5
8,3
8
8
8,8
8,7
8,5
8,1
7,8
7,6

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128260&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128260&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128260&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.246833673481350.223729644335885
0.026.427336514829990.175903335258273
0.036.57046199792980.167949789094659
0.046.680951460956980.155863352775621
0.056.767989253168430.133194698414022
0.066.835952246078130.111749202748088
0.076.889796574162230.0996430101849368
0.086.935119552250160.0971394682595313
0.096.976432291859630.100603741263037
0.17.016432632573980.10629386958476
0.117.056233904551120.111573219373955
0.127.095916654109550.114933049828825
0.137.135054395770380.115890664500939
0.147.173112964167080.114826990290624
0.157.209706133648640.112674914431964
0.167.244707057294560.110460558761852
0.177.27823367379290.108931067813127
0.187.310551507327320.108346138624492
0.197.341951079493920.108483221608897
0.27.372650204232720.108861149770918
0.217.402749229015840.108969239919505
0.227.432241645245040.108507356944166
0.237.461063296014630.107450583858666
0.247.489155152424130.106021711746133
0.257.516516561798140.10462117889924
0.267.543233967737210.103711027011897
0.277.569479711589560.103658418695254
0.287.595483505324260.104661047390967
0.297.621484539208640.106642331748769
0.37.647675351049510.109278794214746
0.317.674150036464790.111986272155649
0.327.700868998861020.114099595282843
0.337.727649665189790.11493729642818
0.347.754187185126730.114007381526759
0.357.780101838053020.111086974426284
0.367.805002571310080.10627723305861
0.377.828551239610180.0999772753992484
0.387.850511732333710.0927873417032826
0.397.870772843648890.085352353213043
0.47.889342105441460.0782282926245505
0.417.906316928869360.0717705278827389
0.427.921845904977790.0660881903178601
0.437.936094603632780.0611203743916653
0.447.949226325358890.0567521834587867
0.457.961400828642430.0529244281421878
0.467.972786256865890.0497379887513685
0.477.983574461078120.0474034362146455
0.487.993989440554480.0461831378489354
0.498.004282486507930.0462556595463412
0.58.014713845013030.0476448480416245
0.518.025526542426230.0501179545068821
0.528.036921070873380.0533491704751028
0.538.049038880678950.0569700931902604
0.548.061958691171920.060660449239195
0.558.075704399790080.0642398741142254
0.568.090259123121810.0675767717757084
0.578.105578342504980.0706603375964893
0.588.121596711489110.0734106297887954
0.598.138226945863410.075751862226852
0.68.15535363251650.0775122515793061
0.618.172827935466910.078515585283101
0.628.190469814751060.0786032259851544
0.638.20808223583610.0776926929180947
0.648.225477613003670.0758691497806286
0.658.242511760315020.0733845606116224
0.668.259116578305540.0706475660638937
0.678.275321107760710.068188811621652
0.688.291252342898850.0664897760933711
0.698.307112173032870.0658681223095594
0.78.32313366162490.0663928989606799
0.718.339526371200590.067798392383927
0.728.356424409645290.0695825190770386
0.738.373851066089930.0711934103028575
0.748.391710435231480.0720788818119356
0.758.409810349957580.0718922482356263
0.768.42791343884350.0705311273130594
0.778.445805197184690.0682155815632065
0.788.463361050167560.0654020122959155
0.798.480591207533920.0627470420049163
0.88.497646048012530.0609042273996698

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.24683367348135 & 0.223729644335885 \tabularnewline
0.02 & 6.42733651482999 & 0.175903335258273 \tabularnewline
0.03 & 6.5704619979298 & 0.167949789094659 \tabularnewline
0.04 & 6.68095146095698 & 0.155863352775621 \tabularnewline
0.05 & 6.76798925316843 & 0.133194698414022 \tabularnewline
0.06 & 6.83595224607813 & 0.111749202748088 \tabularnewline
0.07 & 6.88979657416223 & 0.0996430101849368 \tabularnewline
0.08 & 6.93511955225016 & 0.0971394682595313 \tabularnewline
0.09 & 6.97643229185963 & 0.100603741263037 \tabularnewline
0.1 & 7.01643263257398 & 0.10629386958476 \tabularnewline
0.11 & 7.05623390455112 & 0.111573219373955 \tabularnewline
0.12 & 7.09591665410955 & 0.114933049828825 \tabularnewline
0.13 & 7.13505439577038 & 0.115890664500939 \tabularnewline
0.14 & 7.17311296416708 & 0.114826990290624 \tabularnewline
0.15 & 7.20970613364864 & 0.112674914431964 \tabularnewline
0.16 & 7.24470705729456 & 0.110460558761852 \tabularnewline
0.17 & 7.2782336737929 & 0.108931067813127 \tabularnewline
0.18 & 7.31055150732732 & 0.108346138624492 \tabularnewline
0.19 & 7.34195107949392 & 0.108483221608897 \tabularnewline
0.2 & 7.37265020423272 & 0.108861149770918 \tabularnewline
0.21 & 7.40274922901584 & 0.108969239919505 \tabularnewline
0.22 & 7.43224164524504 & 0.108507356944166 \tabularnewline
0.23 & 7.46106329601463 & 0.107450583858666 \tabularnewline
0.24 & 7.48915515242413 & 0.106021711746133 \tabularnewline
0.25 & 7.51651656179814 & 0.10462117889924 \tabularnewline
0.26 & 7.54323396773721 & 0.103711027011897 \tabularnewline
0.27 & 7.56947971158956 & 0.103658418695254 \tabularnewline
0.28 & 7.59548350532426 & 0.104661047390967 \tabularnewline
0.29 & 7.62148453920864 & 0.106642331748769 \tabularnewline
0.3 & 7.64767535104951 & 0.109278794214746 \tabularnewline
0.31 & 7.67415003646479 & 0.111986272155649 \tabularnewline
0.32 & 7.70086899886102 & 0.114099595282843 \tabularnewline
0.33 & 7.72764966518979 & 0.11493729642818 \tabularnewline
0.34 & 7.75418718512673 & 0.114007381526759 \tabularnewline
0.35 & 7.78010183805302 & 0.111086974426284 \tabularnewline
0.36 & 7.80500257131008 & 0.10627723305861 \tabularnewline
0.37 & 7.82855123961018 & 0.0999772753992484 \tabularnewline
0.38 & 7.85051173233371 & 0.0927873417032826 \tabularnewline
0.39 & 7.87077284364889 & 0.085352353213043 \tabularnewline
0.4 & 7.88934210544146 & 0.0782282926245505 \tabularnewline
0.41 & 7.90631692886936 & 0.0717705278827389 \tabularnewline
0.42 & 7.92184590497779 & 0.0660881903178601 \tabularnewline
0.43 & 7.93609460363278 & 0.0611203743916653 \tabularnewline
0.44 & 7.94922632535889 & 0.0567521834587867 \tabularnewline
0.45 & 7.96140082864243 & 0.0529244281421878 \tabularnewline
0.46 & 7.97278625686589 & 0.0497379887513685 \tabularnewline
0.47 & 7.98357446107812 & 0.0474034362146455 \tabularnewline
0.48 & 7.99398944055448 & 0.0461831378489354 \tabularnewline
0.49 & 8.00428248650793 & 0.0462556595463412 \tabularnewline
0.5 & 8.01471384501303 & 0.0476448480416245 \tabularnewline
0.51 & 8.02552654242623 & 0.0501179545068821 \tabularnewline
0.52 & 8.03692107087338 & 0.0533491704751028 \tabularnewline
0.53 & 8.04903888067895 & 0.0569700931902604 \tabularnewline
0.54 & 8.06195869117192 & 0.060660449239195 \tabularnewline
0.55 & 8.07570439979008 & 0.0642398741142254 \tabularnewline
0.56 & 8.09025912312181 & 0.0675767717757084 \tabularnewline
0.57 & 8.10557834250498 & 0.0706603375964893 \tabularnewline
0.58 & 8.12159671148911 & 0.0734106297887954 \tabularnewline
0.59 & 8.13822694586341 & 0.075751862226852 \tabularnewline
0.6 & 8.1553536325165 & 0.0775122515793061 \tabularnewline
0.61 & 8.17282793546691 & 0.078515585283101 \tabularnewline
0.62 & 8.19046981475106 & 0.0786032259851544 \tabularnewline
0.63 & 8.2080822358361 & 0.0776926929180947 \tabularnewline
0.64 & 8.22547761300367 & 0.0758691497806286 \tabularnewline
0.65 & 8.24251176031502 & 0.0733845606116224 \tabularnewline
0.66 & 8.25911657830554 & 0.0706475660638937 \tabularnewline
0.67 & 8.27532110776071 & 0.068188811621652 \tabularnewline
0.68 & 8.29125234289885 & 0.0664897760933711 \tabularnewline
0.69 & 8.30711217303287 & 0.0658681223095594 \tabularnewline
0.7 & 8.3231336616249 & 0.0663928989606799 \tabularnewline
0.71 & 8.33952637120059 & 0.067798392383927 \tabularnewline
0.72 & 8.35642440964529 & 0.0695825190770386 \tabularnewline
0.73 & 8.37385106608993 & 0.0711934103028575 \tabularnewline
0.74 & 8.39171043523148 & 0.0720788818119356 \tabularnewline
0.75 & 8.40981034995758 & 0.0718922482356263 \tabularnewline
0.76 & 8.4279134388435 & 0.0705311273130594 \tabularnewline
0.77 & 8.44580519718469 & 0.0682155815632065 \tabularnewline
0.78 & 8.46336105016756 & 0.0654020122959155 \tabularnewline
0.79 & 8.48059120753392 & 0.0627470420049163 \tabularnewline
0.8 & 8.49764604801253 & 0.0609042273996698 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=128260&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]6.24683367348135[/C][C]0.223729644335885[/C][/ROW]
[ROW][C]0.02[/C][C]6.42733651482999[/C][C]0.175903335258273[/C][/ROW]
[ROW][C]0.03[/C][C]6.5704619979298[/C][C]0.167949789094659[/C][/ROW]
[ROW][C]0.04[/C][C]6.68095146095698[/C][C]0.155863352775621[/C][/ROW]
[ROW][C]0.05[/C][C]6.76798925316843[/C][C]0.133194698414022[/C][/ROW]
[ROW][C]0.06[/C][C]6.83595224607813[/C][C]0.111749202748088[/C][/ROW]
[ROW][C]0.07[/C][C]6.88979657416223[/C][C]0.0996430101849368[/C][/ROW]
[ROW][C]0.08[/C][C]6.93511955225016[/C][C]0.0971394682595313[/C][/ROW]
[ROW][C]0.09[/C][C]6.97643229185963[/C][C]0.100603741263037[/C][/ROW]
[ROW][C]0.1[/C][C]7.01643263257398[/C][C]0.10629386958476[/C][/ROW]
[ROW][C]0.11[/C][C]7.05623390455112[/C][C]0.111573219373955[/C][/ROW]
[ROW][C]0.12[/C][C]7.09591665410955[/C][C]0.114933049828825[/C][/ROW]
[ROW][C]0.13[/C][C]7.13505439577038[/C][C]0.115890664500939[/C][/ROW]
[ROW][C]0.14[/C][C]7.17311296416708[/C][C]0.114826990290624[/C][/ROW]
[ROW][C]0.15[/C][C]7.20970613364864[/C][C]0.112674914431964[/C][/ROW]
[ROW][C]0.16[/C][C]7.24470705729456[/C][C]0.110460558761852[/C][/ROW]
[ROW][C]0.17[/C][C]7.2782336737929[/C][C]0.108931067813127[/C][/ROW]
[ROW][C]0.18[/C][C]7.31055150732732[/C][C]0.108346138624492[/C][/ROW]
[ROW][C]0.19[/C][C]7.34195107949392[/C][C]0.108483221608897[/C][/ROW]
[ROW][C]0.2[/C][C]7.37265020423272[/C][C]0.108861149770918[/C][/ROW]
[ROW][C]0.21[/C][C]7.40274922901584[/C][C]0.108969239919505[/C][/ROW]
[ROW][C]0.22[/C][C]7.43224164524504[/C][C]0.108507356944166[/C][/ROW]
[ROW][C]0.23[/C][C]7.46106329601463[/C][C]0.107450583858666[/C][/ROW]
[ROW][C]0.24[/C][C]7.48915515242413[/C][C]0.106021711746133[/C][/ROW]
[ROW][C]0.25[/C][C]7.51651656179814[/C][C]0.10462117889924[/C][/ROW]
[ROW][C]0.26[/C][C]7.54323396773721[/C][C]0.103711027011897[/C][/ROW]
[ROW][C]0.27[/C][C]7.56947971158956[/C][C]0.103658418695254[/C][/ROW]
[ROW][C]0.28[/C][C]7.59548350532426[/C][C]0.104661047390967[/C][/ROW]
[ROW][C]0.29[/C][C]7.62148453920864[/C][C]0.106642331748769[/C][/ROW]
[ROW][C]0.3[/C][C]7.64767535104951[/C][C]0.109278794214746[/C][/ROW]
[ROW][C]0.31[/C][C]7.67415003646479[/C][C]0.111986272155649[/C][/ROW]
[ROW][C]0.32[/C][C]7.70086899886102[/C][C]0.114099595282843[/C][/ROW]
[ROW][C]0.33[/C][C]7.72764966518979[/C][C]0.11493729642818[/C][/ROW]
[ROW][C]0.34[/C][C]7.75418718512673[/C][C]0.114007381526759[/C][/ROW]
[ROW][C]0.35[/C][C]7.78010183805302[/C][C]0.111086974426284[/C][/ROW]
[ROW][C]0.36[/C][C]7.80500257131008[/C][C]0.10627723305861[/C][/ROW]
[ROW][C]0.37[/C][C]7.82855123961018[/C][C]0.0999772753992484[/C][/ROW]
[ROW][C]0.38[/C][C]7.85051173233371[/C][C]0.0927873417032826[/C][/ROW]
[ROW][C]0.39[/C][C]7.87077284364889[/C][C]0.085352353213043[/C][/ROW]
[ROW][C]0.4[/C][C]7.88934210544146[/C][C]0.0782282926245505[/C][/ROW]
[ROW][C]0.41[/C][C]7.90631692886936[/C][C]0.0717705278827389[/C][/ROW]
[ROW][C]0.42[/C][C]7.92184590497779[/C][C]0.0660881903178601[/C][/ROW]
[ROW][C]0.43[/C][C]7.93609460363278[/C][C]0.0611203743916653[/C][/ROW]
[ROW][C]0.44[/C][C]7.94922632535889[/C][C]0.0567521834587867[/C][/ROW]
[ROW][C]0.45[/C][C]7.96140082864243[/C][C]0.0529244281421878[/C][/ROW]
[ROW][C]0.46[/C][C]7.97278625686589[/C][C]0.0497379887513685[/C][/ROW]
[ROW][C]0.47[/C][C]7.98357446107812[/C][C]0.0474034362146455[/C][/ROW]
[ROW][C]0.48[/C][C]7.99398944055448[/C][C]0.0461831378489354[/C][/ROW]
[ROW][C]0.49[/C][C]8.00428248650793[/C][C]0.0462556595463412[/C][/ROW]
[ROW][C]0.5[/C][C]8.01471384501303[/C][C]0.0476448480416245[/C][/ROW]
[ROW][C]0.51[/C][C]8.02552654242623[/C][C]0.0501179545068821[/C][/ROW]
[ROW][C]0.52[/C][C]8.03692107087338[/C][C]0.0533491704751028[/C][/ROW]
[ROW][C]0.53[/C][C]8.04903888067895[/C][C]0.0569700931902604[/C][/ROW]
[ROW][C]0.54[/C][C]8.06195869117192[/C][C]0.060660449239195[/C][/ROW]
[ROW][C]0.55[/C][C]8.07570439979008[/C][C]0.0642398741142254[/C][/ROW]
[ROW][C]0.56[/C][C]8.09025912312181[/C][C]0.0675767717757084[/C][/ROW]
[ROW][C]0.57[/C][C]8.10557834250498[/C][C]0.0706603375964893[/C][/ROW]
[ROW][C]0.58[/C][C]8.12159671148911[/C][C]0.0734106297887954[/C][/ROW]
[ROW][C]0.59[/C][C]8.13822694586341[/C][C]0.075751862226852[/C][/ROW]
[ROW][C]0.6[/C][C]8.1553536325165[/C][C]0.0775122515793061[/C][/ROW]
[ROW][C]0.61[/C][C]8.17282793546691[/C][C]0.078515585283101[/C][/ROW]
[ROW][C]0.62[/C][C]8.19046981475106[/C][C]0.0786032259851544[/C][/ROW]
[ROW][C]0.63[/C][C]8.2080822358361[/C][C]0.0776926929180947[/C][/ROW]
[ROW][C]0.64[/C][C]8.22547761300367[/C][C]0.0758691497806286[/C][/ROW]
[ROW][C]0.65[/C][C]8.24251176031502[/C][C]0.0733845606116224[/C][/ROW]
[ROW][C]0.66[/C][C]8.25911657830554[/C][C]0.0706475660638937[/C][/ROW]
[ROW][C]0.67[/C][C]8.27532110776071[/C][C]0.068188811621652[/C][/ROW]
[ROW][C]0.68[/C][C]8.29125234289885[/C][C]0.0664897760933711[/C][/ROW]
[ROW][C]0.69[/C][C]8.30711217303287[/C][C]0.0658681223095594[/C][/ROW]
[ROW][C]0.7[/C][C]8.3231336616249[/C][C]0.0663928989606799[/C][/ROW]
[ROW][C]0.71[/C][C]8.33952637120059[/C][C]0.067798392383927[/C][/ROW]
[ROW][C]0.72[/C][C]8.35642440964529[/C][C]0.0695825190770386[/C][/ROW]
[ROW][C]0.73[/C][C]8.37385106608993[/C][C]0.0711934103028575[/C][/ROW]
[ROW][C]0.74[/C][C]8.39171043523148[/C][C]0.0720788818119356[/C][/ROW]
[ROW][C]0.75[/C][C]8.40981034995758[/C][C]0.0718922482356263[/C][/ROW]
[ROW][C]0.76[/C][C]8.4279134388435[/C][C]0.0705311273130594[/C][/ROW]
[ROW][C]0.77[/C][C]8.44580519718469[/C][C]0.0682155815632065[/C][/ROW]
[ROW][C]0.78[/C][C]8.46336105016756[/C][C]0.0654020122959155[/C][/ROW]
[ROW][C]0.79[/C][C]8.48059120753392[/C][C]0.0627470420049163[/C][/ROW]
[ROW][C]0.8[/C][C]8.49764604801253[/C][C]0.0609042273996698[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=128260&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=128260&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
0.016.246833673481350.223729644335885
0.026.427336514829990.175903335258273
0.036.57046199792980.167949789094659
0.046.680951460956980.155863352775621
0.056.767989253168430.133194698414022
0.066.835952246078130.111749202748088
0.076.889796574162230.0996430101849368
0.086.935119552250160.0971394682595313
0.096.976432291859630.100603741263037
0.17.016432632573980.10629386958476
0.117.056233904551120.111573219373955
0.127.095916654109550.114933049828825
0.137.135054395770380.115890664500939
0.147.173112964167080.114826990290624
0.157.209706133648640.112674914431964
0.167.244707057294560.110460558761852
0.177.27823367379290.108931067813127
0.187.310551507327320.108346138624492
0.197.341951079493920.108483221608897
0.27.372650204232720.108861149770918
0.217.402749229015840.108969239919505
0.227.432241645245040.108507356944166
0.237.461063296014630.107450583858666
0.247.489155152424130.106021711746133
0.257.516516561798140.10462117889924
0.267.543233967737210.103711027011897
0.277.569479711589560.103658418695254
0.287.595483505324260.104661047390967
0.297.621484539208640.106642331748769
0.37.647675351049510.109278794214746
0.317.674150036464790.111986272155649
0.327.700868998861020.114099595282843
0.337.727649665189790.11493729642818
0.347.754187185126730.114007381526759
0.357.780101838053020.111086974426284
0.367.805002571310080.10627723305861
0.377.828551239610180.0999772753992484
0.387.850511732333710.0927873417032826
0.397.870772843648890.085352353213043
0.47.889342105441460.0782282926245505
0.417.906316928869360.0717705278827389
0.427.921845904977790.0660881903178601
0.437.936094603632780.0611203743916653
0.447.949226325358890.0567521834587867
0.457.961400828642430.0529244281421878
0.467.972786256865890.0497379887513685
0.477.983574461078120.0474034362146455
0.487.993989440554480.0461831378489354
0.498.004282486507930.0462556595463412
0.58.014713845013030.0476448480416245
0.518.025526542426230.0501179545068821
0.528.036921070873380.0533491704751028
0.538.049038880678950.0569700931902604
0.548.061958691171920.060660449239195
0.558.075704399790080.0642398741142254
0.568.090259123121810.0675767717757084
0.578.105578342504980.0706603375964893
0.588.121596711489110.0734106297887954
0.598.138226945863410.075751862226852
0.68.15535363251650.0775122515793061
0.618.172827935466910.078515585283101
0.628.190469814751060.0786032259851544
0.638.20808223583610.0776926929180947
0.648.225477613003670.0758691497806286
0.658.242511760315020.0733845606116224
0.668.259116578305540.0706475660638937
0.678.275321107760710.068188811621652
0.688.291252342898850.0664897760933711
0.698.307112173032870.0658681223095594
0.78.32313366162490.0663928989606799
0.718.339526371200590.067798392383927
0.728.356424409645290.0695825190770386
0.738.373851066089930.0711934103028575
0.748.391710435231480.0720788818119356
0.758.409810349957580.0718922482356263
0.768.42791343884350.0705311273130594
0.778.445805197184690.0682155815632065
0.788.463361050167560.0654020122959155
0.798.480591207533920.0627470420049163
0.88.497646048012530.0609042273996698


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.80 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.80 ; 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')