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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davies.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 19 Oct 2009 01:39:46 -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/2009/Oct/19/t1255938026huakzo1g4t17e58.htm/, Retrieved Mon, 29 Apr 2024 18:39:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=47563, Retrieved Mon, 29 Apr 2024 18:39:07 +0000
QR Codes:

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

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [WS3] [2009-10-19 07:39:46] [eeda0e496238f8886c14dbbeff6ff613] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.5
6.8
6.5
6.6
7.6
8
8.1
7.7
7.5
7.6
7.8
7.8
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.2
7.9
7.3
6.9
6.6
6.7
6.9
7
7.1
7.2
7.1
6.9
7
6.8
6.4
6.7
6.6
6.4
6.3
6.2
6.5
6.8
6.8
6.4
6.1
5.8
6.1
7.2
7.3
6.9
6.1
5.8
6.2
7.1
7.7
7.9

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' @ 193.190.124.24

\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' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47563&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' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47563&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47563&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' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015.81829346082530.0586585492744001
0.025.857237898607940.117890392017505
0.035.911379601826380.145972886974638
0.045.970592711775020.142065817699289
0.056.026336305924560.122755834633618
0.066.074638203351250.104909459593399
0.076.11560398695910.0970193165929554
0.086.151393867846770.0984277002806615
0.096.184400933237340.104427378412470
0.16.216308009273110.111092995398769
0.116.2479142030340.116333166213258
0.126.279360896812730.11941130144112
0.136.310450415664550.120446168634846
0.146.340900390624460.120007291206098
0.156.370491448016860.118829112969535
0.166.399122751966570.117568578065835
0.176.426807146895530.116656226479704
0.186.453636182459140.116257137963384
0.196.479737570223550.116319170331740
0.26.505238903922580.116675195908876
0.216.530243779313760.117135590351883
0.226.554820726603430.117534696938886
0.236.57900206491290.117735328547471
0.246.60278877689410.117643356899725
0.256.626158114194230.117193385580265
0.266.649071958166110.11632773133041
0.276.671485165556230.115032471811785
0.286.69335377803120.113314311577417
0.296.714643023772120.111256422377072
0.36.735334725054950.108978943006276
0.316.755433372161510.106653901310435
0.326.7749699820370.104486205639432
0.336.794003027336960.102671813665142
0.346.812616147087450.101381547440863
0.356.830912894483930.10073596734959
0.366.849009284944570.100796946155024
0.376.867025261721470.101553808814414
0.386.885076341344760.102941819118622
0.396.903266635476160.104848010863669
0.46.921684201175580.107147834049354
0.416.940399292780660.109703323912938
0.426.959465622812120.112393973849567
0.436.978924237170330.115159016095906
0.446.998809131303830.117973126239204
0.457.019153351019540.120873862020360
0.467.039994112000790.123937867446024
0.477.061375503538180.127265889603820
0.487.083347650727110.130942446559417
0.497.105961781779350.135002819358270
0.57.129261411059260.139402386929877
0.517.15327067951470.143988266654925
0.527.177981635800710.148506013902588
0.537.203342735381850.152619804741990
0.547.229250954866290.155951130535109
0.557.25554959948980.158113557574038
0.567.282033137651780.158782814938404
0.577.308459326510240.157732381269672
0.587.33456766804440.154875167586938
0.597.360102072341960.150281277105501
0.67.384834727864030.144191812960428
0.617.408587774004130.136985647985639
0.627.431249548497050.129139375918772
0.637.452782943359560.121189913237969
0.647.47322463430820.113657733316935
0.657.492675435716050.106970291911915
0.667.511283500256980.101439720672128
0.677.529223247140480.0971734214213587
0.687.546673536010350.0941194945579262
0.697.563798578969360.0920637397309875
0.77.580734406508060.0907108946200282
0.717.59758251312810.0897632766889555
0.727.614410850327490.0889652978332994
0.737.631260911239180.088148544993843
0.747.648158562233980.08725326567042
0.757.665125757103560.086308836799672
0.767.682190438646230.0853976887240617
0.777.699392764972680.0846351676099684
0.787.716787118377350.0841081789744144
0.797.73444085792410.08386520561317
0.87.752432064699890.0839006087578296
0.817.770849159547380.0841726635332145
0.827.789794834468350.0846509346652344
0.837.809394969898580.0853552971171074
0.847.829810202304460.0863834938154041
0.857.851244253938240.0879288885667127
0.867.87394047712450.090213631554078
0.877.89815821969520.0933599656374257
0.887.924125048469970.0972116516409246
0.897.95196907946560.101215769288740
0.97.981644090941640.104445656254863
0.918.012863083547570.105822183190583
0.928.045050116877320.104401448777092
0.938.077310649475130.0995684514055019
0.948.108422422241560.0909799947621027
0.958.136876261950830.0783892999037648
0.968.161037669726450.0617998822259537
0.978.179501813506940.0422590938532554
0.988.191608726965050.0227283206595809
0.998.197880092569140.00757738421698069

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5.8182934608253 & 0.0586585492744001 \tabularnewline
0.02 & 5.85723789860794 & 0.117890392017505 \tabularnewline
0.03 & 5.91137960182638 & 0.145972886974638 \tabularnewline
0.04 & 5.97059271177502 & 0.142065817699289 \tabularnewline
0.05 & 6.02633630592456 & 0.122755834633618 \tabularnewline
0.06 & 6.07463820335125 & 0.104909459593399 \tabularnewline
0.07 & 6.1156039869591 & 0.0970193165929554 \tabularnewline
0.08 & 6.15139386784677 & 0.0984277002806615 \tabularnewline
0.09 & 6.18440093323734 & 0.104427378412470 \tabularnewline
0.1 & 6.21630800927311 & 0.111092995398769 \tabularnewline
0.11 & 6.247914203034 & 0.116333166213258 \tabularnewline
0.12 & 6.27936089681273 & 0.11941130144112 \tabularnewline
0.13 & 6.31045041566455 & 0.120446168634846 \tabularnewline
0.14 & 6.34090039062446 & 0.120007291206098 \tabularnewline
0.15 & 6.37049144801686 & 0.118829112969535 \tabularnewline
0.16 & 6.39912275196657 & 0.117568578065835 \tabularnewline
0.17 & 6.42680714689553 & 0.116656226479704 \tabularnewline
0.18 & 6.45363618245914 & 0.116257137963384 \tabularnewline
0.19 & 6.47973757022355 & 0.116319170331740 \tabularnewline
0.2 & 6.50523890392258 & 0.116675195908876 \tabularnewline
0.21 & 6.53024377931376 & 0.117135590351883 \tabularnewline
0.22 & 6.55482072660343 & 0.117534696938886 \tabularnewline
0.23 & 6.5790020649129 & 0.117735328547471 \tabularnewline
0.24 & 6.6027887768941 & 0.117643356899725 \tabularnewline
0.25 & 6.62615811419423 & 0.117193385580265 \tabularnewline
0.26 & 6.64907195816611 & 0.11632773133041 \tabularnewline
0.27 & 6.67148516555623 & 0.115032471811785 \tabularnewline
0.28 & 6.6933537780312 & 0.113314311577417 \tabularnewline
0.29 & 6.71464302377212 & 0.111256422377072 \tabularnewline
0.3 & 6.73533472505495 & 0.108978943006276 \tabularnewline
0.31 & 6.75543337216151 & 0.106653901310435 \tabularnewline
0.32 & 6.774969982037 & 0.104486205639432 \tabularnewline
0.33 & 6.79400302733696 & 0.102671813665142 \tabularnewline
0.34 & 6.81261614708745 & 0.101381547440863 \tabularnewline
0.35 & 6.83091289448393 & 0.10073596734959 \tabularnewline
0.36 & 6.84900928494457 & 0.100796946155024 \tabularnewline
0.37 & 6.86702526172147 & 0.101553808814414 \tabularnewline
0.38 & 6.88507634134476 & 0.102941819118622 \tabularnewline
0.39 & 6.90326663547616 & 0.104848010863669 \tabularnewline
0.4 & 6.92168420117558 & 0.107147834049354 \tabularnewline
0.41 & 6.94039929278066 & 0.109703323912938 \tabularnewline
0.42 & 6.95946562281212 & 0.112393973849567 \tabularnewline
0.43 & 6.97892423717033 & 0.115159016095906 \tabularnewline
0.44 & 6.99880913130383 & 0.117973126239204 \tabularnewline
0.45 & 7.01915335101954 & 0.120873862020360 \tabularnewline
0.46 & 7.03999411200079 & 0.123937867446024 \tabularnewline
0.47 & 7.06137550353818 & 0.127265889603820 \tabularnewline
0.48 & 7.08334765072711 & 0.130942446559417 \tabularnewline
0.49 & 7.10596178177935 & 0.135002819358270 \tabularnewline
0.5 & 7.12926141105926 & 0.139402386929877 \tabularnewline
0.51 & 7.1532706795147 & 0.143988266654925 \tabularnewline
0.52 & 7.17798163580071 & 0.148506013902588 \tabularnewline
0.53 & 7.20334273538185 & 0.152619804741990 \tabularnewline
0.54 & 7.22925095486629 & 0.155951130535109 \tabularnewline
0.55 & 7.2555495994898 & 0.158113557574038 \tabularnewline
0.56 & 7.28203313765178 & 0.158782814938404 \tabularnewline
0.57 & 7.30845932651024 & 0.157732381269672 \tabularnewline
0.58 & 7.3345676680444 & 0.154875167586938 \tabularnewline
0.59 & 7.36010207234196 & 0.150281277105501 \tabularnewline
0.6 & 7.38483472786403 & 0.144191812960428 \tabularnewline
0.61 & 7.40858777400413 & 0.136985647985639 \tabularnewline
0.62 & 7.43124954849705 & 0.129139375918772 \tabularnewline
0.63 & 7.45278294335956 & 0.121189913237969 \tabularnewline
0.64 & 7.4732246343082 & 0.113657733316935 \tabularnewline
0.65 & 7.49267543571605 & 0.106970291911915 \tabularnewline
0.66 & 7.51128350025698 & 0.101439720672128 \tabularnewline
0.67 & 7.52922324714048 & 0.0971734214213587 \tabularnewline
0.68 & 7.54667353601035 & 0.0941194945579262 \tabularnewline
0.69 & 7.56379857896936 & 0.0920637397309875 \tabularnewline
0.7 & 7.58073440650806 & 0.0907108946200282 \tabularnewline
0.71 & 7.5975825131281 & 0.0897632766889555 \tabularnewline
0.72 & 7.61441085032749 & 0.0889652978332994 \tabularnewline
0.73 & 7.63126091123918 & 0.088148544993843 \tabularnewline
0.74 & 7.64815856223398 & 0.08725326567042 \tabularnewline
0.75 & 7.66512575710356 & 0.086308836799672 \tabularnewline
0.76 & 7.68219043864623 & 0.0853976887240617 \tabularnewline
0.77 & 7.69939276497268 & 0.0846351676099684 \tabularnewline
0.78 & 7.71678711837735 & 0.0841081789744144 \tabularnewline
0.79 & 7.7344408579241 & 0.08386520561317 \tabularnewline
0.8 & 7.75243206469989 & 0.0839006087578296 \tabularnewline
0.81 & 7.77084915954738 & 0.0841726635332145 \tabularnewline
0.82 & 7.78979483446835 & 0.0846509346652344 \tabularnewline
0.83 & 7.80939496989858 & 0.0853552971171074 \tabularnewline
0.84 & 7.82981020230446 & 0.0863834938154041 \tabularnewline
0.85 & 7.85124425393824 & 0.0879288885667127 \tabularnewline
0.86 & 7.8739404771245 & 0.090213631554078 \tabularnewline
0.87 & 7.8981582196952 & 0.0933599656374257 \tabularnewline
0.88 & 7.92412504846997 & 0.0972116516409246 \tabularnewline
0.89 & 7.9519690794656 & 0.101215769288740 \tabularnewline
0.9 & 7.98164409094164 & 0.104445656254863 \tabularnewline
0.91 & 8.01286308354757 & 0.105822183190583 \tabularnewline
0.92 & 8.04505011687732 & 0.104401448777092 \tabularnewline
0.93 & 8.07731064947513 & 0.0995684514055019 \tabularnewline
0.94 & 8.10842242224156 & 0.0909799947621027 \tabularnewline
0.95 & 8.13687626195083 & 0.0783892999037648 \tabularnewline
0.96 & 8.16103766972645 & 0.0617998822259537 \tabularnewline
0.97 & 8.17950181350694 & 0.0422590938532554 \tabularnewline
0.98 & 8.19160872696505 & 0.0227283206595809 \tabularnewline
0.99 & 8.19788009256914 & 0.00757738421698069 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=47563&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]5.8182934608253[/C][C]0.0586585492744001[/C][/ROW]
[ROW][C]0.02[/C][C]5.85723789860794[/C][C]0.117890392017505[/C][/ROW]
[ROW][C]0.03[/C][C]5.91137960182638[/C][C]0.145972886974638[/C][/ROW]
[ROW][C]0.04[/C][C]5.97059271177502[/C][C]0.142065817699289[/C][/ROW]
[ROW][C]0.05[/C][C]6.02633630592456[/C][C]0.122755834633618[/C][/ROW]
[ROW][C]0.06[/C][C]6.07463820335125[/C][C]0.104909459593399[/C][/ROW]
[ROW][C]0.07[/C][C]6.1156039869591[/C][C]0.0970193165929554[/C][/ROW]
[ROW][C]0.08[/C][C]6.15139386784677[/C][C]0.0984277002806615[/C][/ROW]
[ROW][C]0.09[/C][C]6.18440093323734[/C][C]0.104427378412470[/C][/ROW]
[ROW][C]0.1[/C][C]6.21630800927311[/C][C]0.111092995398769[/C][/ROW]
[ROW][C]0.11[/C][C]6.247914203034[/C][C]0.116333166213258[/C][/ROW]
[ROW][C]0.12[/C][C]6.27936089681273[/C][C]0.11941130144112[/C][/ROW]
[ROW][C]0.13[/C][C]6.31045041566455[/C][C]0.120446168634846[/C][/ROW]
[ROW][C]0.14[/C][C]6.34090039062446[/C][C]0.120007291206098[/C][/ROW]
[ROW][C]0.15[/C][C]6.37049144801686[/C][C]0.118829112969535[/C][/ROW]
[ROW][C]0.16[/C][C]6.39912275196657[/C][C]0.117568578065835[/C][/ROW]
[ROW][C]0.17[/C][C]6.42680714689553[/C][C]0.116656226479704[/C][/ROW]
[ROW][C]0.18[/C][C]6.45363618245914[/C][C]0.116257137963384[/C][/ROW]
[ROW][C]0.19[/C][C]6.47973757022355[/C][C]0.116319170331740[/C][/ROW]
[ROW][C]0.2[/C][C]6.50523890392258[/C][C]0.116675195908876[/C][/ROW]
[ROW][C]0.21[/C][C]6.53024377931376[/C][C]0.117135590351883[/C][/ROW]
[ROW][C]0.22[/C][C]6.55482072660343[/C][C]0.117534696938886[/C][/ROW]
[ROW][C]0.23[/C][C]6.5790020649129[/C][C]0.117735328547471[/C][/ROW]
[ROW][C]0.24[/C][C]6.6027887768941[/C][C]0.117643356899725[/C][/ROW]
[ROW][C]0.25[/C][C]6.62615811419423[/C][C]0.117193385580265[/C][/ROW]
[ROW][C]0.26[/C][C]6.64907195816611[/C][C]0.11632773133041[/C][/ROW]
[ROW][C]0.27[/C][C]6.67148516555623[/C][C]0.115032471811785[/C][/ROW]
[ROW][C]0.28[/C][C]6.6933537780312[/C][C]0.113314311577417[/C][/ROW]
[ROW][C]0.29[/C][C]6.71464302377212[/C][C]0.111256422377072[/C][/ROW]
[ROW][C]0.3[/C][C]6.73533472505495[/C][C]0.108978943006276[/C][/ROW]
[ROW][C]0.31[/C][C]6.75543337216151[/C][C]0.106653901310435[/C][/ROW]
[ROW][C]0.32[/C][C]6.774969982037[/C][C]0.104486205639432[/C][/ROW]
[ROW][C]0.33[/C][C]6.79400302733696[/C][C]0.102671813665142[/C][/ROW]
[ROW][C]0.34[/C][C]6.81261614708745[/C][C]0.101381547440863[/C][/ROW]
[ROW][C]0.35[/C][C]6.83091289448393[/C][C]0.10073596734959[/C][/ROW]
[ROW][C]0.36[/C][C]6.84900928494457[/C][C]0.100796946155024[/C][/ROW]
[ROW][C]0.37[/C][C]6.86702526172147[/C][C]0.101553808814414[/C][/ROW]
[ROW][C]0.38[/C][C]6.88507634134476[/C][C]0.102941819118622[/C][/ROW]
[ROW][C]0.39[/C][C]6.90326663547616[/C][C]0.104848010863669[/C][/ROW]
[ROW][C]0.4[/C][C]6.92168420117558[/C][C]0.107147834049354[/C][/ROW]
[ROW][C]0.41[/C][C]6.94039929278066[/C][C]0.109703323912938[/C][/ROW]
[ROW][C]0.42[/C][C]6.95946562281212[/C][C]0.112393973849567[/C][/ROW]
[ROW][C]0.43[/C][C]6.97892423717033[/C][C]0.115159016095906[/C][/ROW]
[ROW][C]0.44[/C][C]6.99880913130383[/C][C]0.117973126239204[/C][/ROW]
[ROW][C]0.45[/C][C]7.01915335101954[/C][C]0.120873862020360[/C][/ROW]
[ROW][C]0.46[/C][C]7.03999411200079[/C][C]0.123937867446024[/C][/ROW]
[ROW][C]0.47[/C][C]7.06137550353818[/C][C]0.127265889603820[/C][/ROW]
[ROW][C]0.48[/C][C]7.08334765072711[/C][C]0.130942446559417[/C][/ROW]
[ROW][C]0.49[/C][C]7.10596178177935[/C][C]0.135002819358270[/C][/ROW]
[ROW][C]0.5[/C][C]7.12926141105926[/C][C]0.139402386929877[/C][/ROW]
[ROW][C]0.51[/C][C]7.1532706795147[/C][C]0.143988266654925[/C][/ROW]
[ROW][C]0.52[/C][C]7.17798163580071[/C][C]0.148506013902588[/C][/ROW]
[ROW][C]0.53[/C][C]7.20334273538185[/C][C]0.152619804741990[/C][/ROW]
[ROW][C]0.54[/C][C]7.22925095486629[/C][C]0.155951130535109[/C][/ROW]
[ROW][C]0.55[/C][C]7.2555495994898[/C][C]0.158113557574038[/C][/ROW]
[ROW][C]0.56[/C][C]7.28203313765178[/C][C]0.158782814938404[/C][/ROW]
[ROW][C]0.57[/C][C]7.30845932651024[/C][C]0.157732381269672[/C][/ROW]
[ROW][C]0.58[/C][C]7.3345676680444[/C][C]0.154875167586938[/C][/ROW]
[ROW][C]0.59[/C][C]7.36010207234196[/C][C]0.150281277105501[/C][/ROW]
[ROW][C]0.6[/C][C]7.38483472786403[/C][C]0.144191812960428[/C][/ROW]
[ROW][C]0.61[/C][C]7.40858777400413[/C][C]0.136985647985639[/C][/ROW]
[ROW][C]0.62[/C][C]7.43124954849705[/C][C]0.129139375918772[/C][/ROW]
[ROW][C]0.63[/C][C]7.45278294335956[/C][C]0.121189913237969[/C][/ROW]
[ROW][C]0.64[/C][C]7.4732246343082[/C][C]0.113657733316935[/C][/ROW]
[ROW][C]0.65[/C][C]7.49267543571605[/C][C]0.106970291911915[/C][/ROW]
[ROW][C]0.66[/C][C]7.51128350025698[/C][C]0.101439720672128[/C][/ROW]
[ROW][C]0.67[/C][C]7.52922324714048[/C][C]0.0971734214213587[/C][/ROW]
[ROW][C]0.68[/C][C]7.54667353601035[/C][C]0.0941194945579262[/C][/ROW]
[ROW][C]0.69[/C][C]7.56379857896936[/C][C]0.0920637397309875[/C][/ROW]
[ROW][C]0.7[/C][C]7.58073440650806[/C][C]0.0907108946200282[/C][/ROW]
[ROW][C]0.71[/C][C]7.5975825131281[/C][C]0.0897632766889555[/C][/ROW]
[ROW][C]0.72[/C][C]7.61441085032749[/C][C]0.0889652978332994[/C][/ROW]
[ROW][C]0.73[/C][C]7.63126091123918[/C][C]0.088148544993843[/C][/ROW]
[ROW][C]0.74[/C][C]7.64815856223398[/C][C]0.08725326567042[/C][/ROW]
[ROW][C]0.75[/C][C]7.66512575710356[/C][C]0.086308836799672[/C][/ROW]
[ROW][C]0.76[/C][C]7.68219043864623[/C][C]0.0853976887240617[/C][/ROW]
[ROW][C]0.77[/C][C]7.69939276497268[/C][C]0.0846351676099684[/C][/ROW]
[ROW][C]0.78[/C][C]7.71678711837735[/C][C]0.0841081789744144[/C][/ROW]
[ROW][C]0.79[/C][C]7.7344408579241[/C][C]0.08386520561317[/C][/ROW]
[ROW][C]0.8[/C][C]7.75243206469989[/C][C]0.0839006087578296[/C][/ROW]
[ROW][C]0.81[/C][C]7.77084915954738[/C][C]0.0841726635332145[/C][/ROW]
[ROW][C]0.82[/C][C]7.78979483446835[/C][C]0.0846509346652344[/C][/ROW]
[ROW][C]0.83[/C][C]7.80939496989858[/C][C]0.0853552971171074[/C][/ROW]
[ROW][C]0.84[/C][C]7.82981020230446[/C][C]0.0863834938154041[/C][/ROW]
[ROW][C]0.85[/C][C]7.85124425393824[/C][C]0.0879288885667127[/C][/ROW]
[ROW][C]0.86[/C][C]7.8739404771245[/C][C]0.090213631554078[/C][/ROW]
[ROW][C]0.87[/C][C]7.8981582196952[/C][C]0.0933599656374257[/C][/ROW]
[ROW][C]0.88[/C][C]7.92412504846997[/C][C]0.0972116516409246[/C][/ROW]
[ROW][C]0.89[/C][C]7.9519690794656[/C][C]0.101215769288740[/C][/ROW]
[ROW][C]0.9[/C][C]7.98164409094164[/C][C]0.104445656254863[/C][/ROW]
[ROW][C]0.91[/C][C]8.01286308354757[/C][C]0.105822183190583[/C][/ROW]
[ROW][C]0.92[/C][C]8.04505011687732[/C][C]0.104401448777092[/C][/ROW]
[ROW][C]0.93[/C][C]8.07731064947513[/C][C]0.0995684514055019[/C][/ROW]
[ROW][C]0.94[/C][C]8.10842242224156[/C][C]0.0909799947621027[/C][/ROW]
[ROW][C]0.95[/C][C]8.13687626195083[/C][C]0.0783892999037648[/C][/ROW]
[ROW][C]0.96[/C][C]8.16103766972645[/C][C]0.0617998822259537[/C][/ROW]
[ROW][C]0.97[/C][C]8.17950181350694[/C][C]0.0422590938532554[/C][/ROW]
[ROW][C]0.98[/C][C]8.19160872696505[/C][C]0.0227283206595809[/C][/ROW]
[ROW][C]0.99[/C][C]8.19788009256914[/C][C]0.00757738421698069[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=47563&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=47563&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
0.015.81829346082530.0586585492744001
0.025.857237898607940.117890392017505
0.035.911379601826380.145972886974638
0.045.970592711775020.142065817699289
0.056.026336305924560.122755834633618
0.066.074638203351250.104909459593399
0.076.11560398695910.0970193165929554
0.086.151393867846770.0984277002806615
0.096.184400933237340.104427378412470
0.16.216308009273110.111092995398769
0.116.2479142030340.116333166213258
0.126.279360896812730.11941130144112
0.136.310450415664550.120446168634846
0.146.340900390624460.120007291206098
0.156.370491448016860.118829112969535
0.166.399122751966570.117568578065835
0.176.426807146895530.116656226479704
0.186.453636182459140.116257137963384
0.196.479737570223550.116319170331740
0.26.505238903922580.116675195908876
0.216.530243779313760.117135590351883
0.226.554820726603430.117534696938886
0.236.57900206491290.117735328547471
0.246.60278877689410.117643356899725
0.256.626158114194230.117193385580265
0.266.649071958166110.11632773133041
0.276.671485165556230.115032471811785
0.286.69335377803120.113314311577417
0.296.714643023772120.111256422377072
0.36.735334725054950.108978943006276
0.316.755433372161510.106653901310435
0.326.7749699820370.104486205639432
0.336.794003027336960.102671813665142
0.346.812616147087450.101381547440863
0.356.830912894483930.10073596734959
0.366.849009284944570.100796946155024
0.376.867025261721470.101553808814414
0.386.885076341344760.102941819118622
0.396.903266635476160.104848010863669
0.46.921684201175580.107147834049354
0.416.940399292780660.109703323912938
0.426.959465622812120.112393973849567
0.436.978924237170330.115159016095906
0.446.998809131303830.117973126239204
0.457.019153351019540.120873862020360
0.467.039994112000790.123937867446024
0.477.061375503538180.127265889603820
0.487.083347650727110.130942446559417
0.497.105961781779350.135002819358270
0.57.129261411059260.139402386929877
0.517.15327067951470.143988266654925
0.527.177981635800710.148506013902588
0.537.203342735381850.152619804741990
0.547.229250954866290.155951130535109
0.557.25554959948980.158113557574038
0.567.282033137651780.158782814938404
0.577.308459326510240.157732381269672
0.587.33456766804440.154875167586938
0.597.360102072341960.150281277105501
0.67.384834727864030.144191812960428
0.617.408587774004130.136985647985639
0.627.431249548497050.129139375918772
0.637.452782943359560.121189913237969
0.647.47322463430820.113657733316935
0.657.492675435716050.106970291911915
0.667.511283500256980.101439720672128
0.677.529223247140480.0971734214213587
0.687.546673536010350.0941194945579262
0.697.563798578969360.0920637397309875
0.77.580734406508060.0907108946200282
0.717.59758251312810.0897632766889555
0.727.614410850327490.0889652978332994
0.737.631260911239180.088148544993843
0.747.648158562233980.08725326567042
0.757.665125757103560.086308836799672
0.767.682190438646230.0853976887240617
0.777.699392764972680.0846351676099684
0.787.716787118377350.0841081789744144
0.797.73444085792410.08386520561317
0.87.752432064699890.0839006087578296
0.817.770849159547380.0841726635332145
0.827.789794834468350.0846509346652344
0.837.809394969898580.0853552971171074
0.847.829810202304460.0863834938154041
0.857.851244253938240.0879288885667127
0.867.87394047712450.090213631554078
0.877.89815821969520.0933599656374257
0.887.924125048469970.0972116516409246
0.897.95196907946560.101215769288740
0.97.981644090941640.104445656254863
0.918.012863083547570.105822183190583
0.928.045050116877320.104401448777092
0.938.077310649475130.0995684514055019
0.948.108422422241560.0909799947621027
0.958.136876261950830.0783892999037648
0.968.161037669726450.0617998822259537
0.978.179501813506940.0422590938532554
0.988.191608726965050.0227283206595809
0.998.197880092569140.00757738421698069


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')