FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationMon, 27 Dec 2010 13:52:47 +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/2010/Dec/27/t1293457845wwwu00fnuvzv0n4.htm/, Retrieved Tue, 07 May 2024 03:16:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=115993, Retrieved Tue, 07 May 2024 03:16:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact108

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] [percentielen cons...] [2010-12-27 13:52:47] [923770d86edf74ed976a539eae527e37] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98.4
96.5
97.4
99.2
100.8
101.8
102.7
100
100.8
101.7
99
101.7
100.2
101.2
99.5
100.8
100.7
99.5
99.4
101.1
97.2
98.1
97.8
95.5
96.3
93.6
96.7
95.1
97.7
96.5
98.1
97.3
97
93.7
95.6
94.6
95.1
94.5
93.6
92.1
95.9
98.1
98.2
96.2
94.1
95
93.4
95.4
93.5
94.5
94.3
95.7
98.4
99.4
99.2
99
99.4
99.3
98.6
98.7
96
98.7
100.1
100
101.5
101.5
103.8
104.1
101
104.9
104.4
105.6
103.4
101.7
103.5
101.2
105.4
105.4
108.6
110.6
110.2
106.2
108.6
107.5
106.9
108.4
109.9
108.6
106.5
105.7
105.6
104.2
105.1
102.7
108.3
104.2
105.4
104.6
106.4
111
111.7
113.8
115.9
117.3
113.6
113.6
114.6
113.2
112.8
109.6
111.1
109.7
113
111
113.3
111.8
107.2
106.4
110
108.2

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115993&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]3 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=115993&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115993&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0192.72061452224880.749267671643823
0.0293.2876611139790.312766057373711
0.0393.57473682067730.234001190122164
0.0493.7624876786630.309165855503275
0.0593.95253715919340.385399439797716
0.0694.1578018662480.424776723454667
0.0794.36613826467960.437280995468312
0.0894.56818030938910.443219303441065
0.0994.76179619809970.451703240195180
0.194.94840292273520.461264293632541
0.1195.12963748488160.469832688142144
0.1295.30657060140720.477986830712784
0.1395.48022438389340.488352381950877
0.1495.65199074887740.502711794784448
0.1595.82356356682130.521875839525978
0.1695.99662088601470.545050166204518
0.1796.1725201709450.571303269473534
0.1896.35208797955150.598813643903202
0.1996.535479678730.624928782350956
0.296.72209364890150.646974538293286
0.2196.91057114249320.661964746822993
0.2297.09892812228790.667803860122897
0.2397.28483158629730.663659646082614
0.2497.46597449421770.650181908370903
0.2597.64045700498540.629780552188505
0.2697.80707151402970.605612124065446
0.2797.96541806772330.580927401434241
0.2898.11583154339970.558554545182615
0.2998.2591612862840.539973263439258
0.398.39648701519680.525368183186005
0.3198.52886779376790.513978198787667
0.3298.65720053020980.504975149155077
0.3398.78221922740650.497433812542159
0.3498.90461277142270.491932986204725
0.3599.02519612722070.489497962922862
0.3699.1450515103580.492078833241717
0.3799.26556760550630.501446198419497
0.3899.3883414820170.518357804053462
0.3999.51495692687080.542129867404764
0.499.64669819376960.570708716894501
0.4199.7842848426630.600635925762292
0.4299.92771286013250.628199560537164
0.43100.0762601301850.650148727796652
0.44100.2286698303060.664580611711794
0.45100.3834778814200.671602635279273
0.46100.5394142981840.673076930846639
0.47100.6957919512950.672599738285287
0.48100.8528009442010.67483471491791
0.49101.0116471275990.684655078684841
0.5101.1745013218460.706442583929617
0.51101.3442555078230.743186645932974
0.52101.5241114137470.794909842894943
0.53101.7170558866020.859311383139293
0.54101.9253050908690.931172624594013
0.55102.1498200457361.00355884406797
0.56102.3899990016351.06863498405461
0.57102.6436280576161.11946527993608
0.58102.9071187474201.15049450009463
0.59103.1759916741821.15937732104287
0.6103.4455014974441.14667548941482
0.61103.7112654866391.11565231762784
0.62103.9697697350951.07145911638769
0.63104.2186790916591.01996194838799
0.64104.4569458158280.966803004080111
0.65104.6847675978980.916730018572482
0.66104.9034657616990.873878703181404
0.67105.1153361220610.841901279153912
0.68105.3234842835650.823565478785359
0.69105.5316193119310.82126954033895
0.7105.7437651435520.835327112782839
0.71105.9638650439170.864607622139638
0.72106.1952953034240.90552634160141
0.73106.4403574120420.952386198918543
0.74106.6998667846920.998414687690577
0.75106.9729795603361.03647036793472
0.76107.2573719463561.06091688399283
0.77107.5497924379291.06919701324642
0.78107.8468614568391.06255120881108
0.79108.1458580971631.04552093004965
0.8108.4451995337891.02382473146290
0.81108.7444427339611.00219932957249
0.82109.0438842468350.982277808702167
0.83109.3440692850560.963007306626288
0.84109.6455953232450.943032001309184
0.85109.9494422532410.923126653847002
0.86110.2577321844020.907322585809435
0.87110.574429543160.90201168968579
0.88110.9051745264990.91260416367314
0.89111.2554422878260.93722884103376
0.9111.6269114607560.96118585773264
0.91112.0134606003080.958694720957767
0.92112.3998736499980.90464637765647
0.93112.7666081619700.7934697632404
0.94113.1021444022880.65254477561093
0.95113.4218141329640.545067091033651
0.96113.7889120817980.56740832898585
0.97114.3254017022110.782986680628588
0.98115.1802328071481.09564735451384
0.99116.3622027458651.29136745830540

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 92.7206145222488 & 0.749267671643823 \tabularnewline
0.02 & 93.287661113979 & 0.312766057373711 \tabularnewline
0.03 & 93.5747368206773 & 0.234001190122164 \tabularnewline
0.04 & 93.762487678663 & 0.309165855503275 \tabularnewline
0.05 & 93.9525371591934 & 0.385399439797716 \tabularnewline
0.06 & 94.157801866248 & 0.424776723454667 \tabularnewline
0.07 & 94.3661382646796 & 0.437280995468312 \tabularnewline
0.08 & 94.5681803093891 & 0.443219303441065 \tabularnewline
0.09 & 94.7617961980997 & 0.451703240195180 \tabularnewline
0.1 & 94.9484029227352 & 0.461264293632541 \tabularnewline
0.11 & 95.1296374848816 & 0.469832688142144 \tabularnewline
0.12 & 95.3065706014072 & 0.477986830712784 \tabularnewline
0.13 & 95.4802243838934 & 0.488352381950877 \tabularnewline
0.14 & 95.6519907488774 & 0.502711794784448 \tabularnewline
0.15 & 95.8235635668213 & 0.521875839525978 \tabularnewline
0.16 & 95.9966208860147 & 0.545050166204518 \tabularnewline
0.17 & 96.172520170945 & 0.571303269473534 \tabularnewline
0.18 & 96.3520879795515 & 0.598813643903202 \tabularnewline
0.19 & 96.53547967873 & 0.624928782350956 \tabularnewline
0.2 & 96.7220936489015 & 0.646974538293286 \tabularnewline
0.21 & 96.9105711424932 & 0.661964746822993 \tabularnewline
0.22 & 97.0989281222879 & 0.667803860122897 \tabularnewline
0.23 & 97.2848315862973 & 0.663659646082614 \tabularnewline
0.24 & 97.4659744942177 & 0.650181908370903 \tabularnewline
0.25 & 97.6404570049854 & 0.629780552188505 \tabularnewline
0.26 & 97.8070715140297 & 0.605612124065446 \tabularnewline
0.27 & 97.9654180677233 & 0.580927401434241 \tabularnewline
0.28 & 98.1158315433997 & 0.558554545182615 \tabularnewline
0.29 & 98.259161286284 & 0.539973263439258 \tabularnewline
0.3 & 98.3964870151968 & 0.525368183186005 \tabularnewline
0.31 & 98.5288677937679 & 0.513978198787667 \tabularnewline
0.32 & 98.6572005302098 & 0.504975149155077 \tabularnewline
0.33 & 98.7822192274065 & 0.497433812542159 \tabularnewline
0.34 & 98.9046127714227 & 0.491932986204725 \tabularnewline
0.35 & 99.0251961272207 & 0.489497962922862 \tabularnewline
0.36 & 99.145051510358 & 0.492078833241717 \tabularnewline
0.37 & 99.2655676055063 & 0.501446198419497 \tabularnewline
0.38 & 99.388341482017 & 0.518357804053462 \tabularnewline
0.39 & 99.5149569268708 & 0.542129867404764 \tabularnewline
0.4 & 99.6466981937696 & 0.570708716894501 \tabularnewline
0.41 & 99.784284842663 & 0.600635925762292 \tabularnewline
0.42 & 99.9277128601325 & 0.628199560537164 \tabularnewline
0.43 & 100.076260130185 & 0.650148727796652 \tabularnewline
0.44 & 100.228669830306 & 0.664580611711794 \tabularnewline
0.45 & 100.383477881420 & 0.671602635279273 \tabularnewline
0.46 & 100.539414298184 & 0.673076930846639 \tabularnewline
0.47 & 100.695791951295 & 0.672599738285287 \tabularnewline
0.48 & 100.852800944201 & 0.67483471491791 \tabularnewline
0.49 & 101.011647127599 & 0.684655078684841 \tabularnewline
0.5 & 101.174501321846 & 0.706442583929617 \tabularnewline
0.51 & 101.344255507823 & 0.743186645932974 \tabularnewline
0.52 & 101.524111413747 & 0.794909842894943 \tabularnewline
0.53 & 101.717055886602 & 0.859311383139293 \tabularnewline
0.54 & 101.925305090869 & 0.931172624594013 \tabularnewline
0.55 & 102.149820045736 & 1.00355884406797 \tabularnewline
0.56 & 102.389999001635 & 1.06863498405461 \tabularnewline
0.57 & 102.643628057616 & 1.11946527993608 \tabularnewline
0.58 & 102.907118747420 & 1.15049450009463 \tabularnewline
0.59 & 103.175991674182 & 1.15937732104287 \tabularnewline
0.6 & 103.445501497444 & 1.14667548941482 \tabularnewline
0.61 & 103.711265486639 & 1.11565231762784 \tabularnewline
0.62 & 103.969769735095 & 1.07145911638769 \tabularnewline
0.63 & 104.218679091659 & 1.01996194838799 \tabularnewline
0.64 & 104.456945815828 & 0.966803004080111 \tabularnewline
0.65 & 104.684767597898 & 0.916730018572482 \tabularnewline
0.66 & 104.903465761699 & 0.873878703181404 \tabularnewline
0.67 & 105.115336122061 & 0.841901279153912 \tabularnewline
0.68 & 105.323484283565 & 0.823565478785359 \tabularnewline
0.69 & 105.531619311931 & 0.82126954033895 \tabularnewline
0.7 & 105.743765143552 & 0.835327112782839 \tabularnewline
0.71 & 105.963865043917 & 0.864607622139638 \tabularnewline
0.72 & 106.195295303424 & 0.90552634160141 \tabularnewline
0.73 & 106.440357412042 & 0.952386198918543 \tabularnewline
0.74 & 106.699866784692 & 0.998414687690577 \tabularnewline
0.75 & 106.972979560336 & 1.03647036793472 \tabularnewline
0.76 & 107.257371946356 & 1.06091688399283 \tabularnewline
0.77 & 107.549792437929 & 1.06919701324642 \tabularnewline
0.78 & 107.846861456839 & 1.06255120881108 \tabularnewline
0.79 & 108.145858097163 & 1.04552093004965 \tabularnewline
0.8 & 108.445199533789 & 1.02382473146290 \tabularnewline
0.81 & 108.744442733961 & 1.00219932957249 \tabularnewline
0.82 & 109.043884246835 & 0.982277808702167 \tabularnewline
0.83 & 109.344069285056 & 0.963007306626288 \tabularnewline
0.84 & 109.645595323245 & 0.943032001309184 \tabularnewline
0.85 & 109.949442253241 & 0.923126653847002 \tabularnewline
0.86 & 110.257732184402 & 0.907322585809435 \tabularnewline
0.87 & 110.57442954316 & 0.90201168968579 \tabularnewline
0.88 & 110.905174526499 & 0.91260416367314 \tabularnewline
0.89 & 111.255442287826 & 0.93722884103376 \tabularnewline
0.9 & 111.626911460756 & 0.96118585773264 \tabularnewline
0.91 & 112.013460600308 & 0.958694720957767 \tabularnewline
0.92 & 112.399873649998 & 0.90464637765647 \tabularnewline
0.93 & 112.766608161970 & 0.7934697632404 \tabularnewline
0.94 & 113.102144402288 & 0.65254477561093 \tabularnewline
0.95 & 113.421814132964 & 0.545067091033651 \tabularnewline
0.96 & 113.788912081798 & 0.56740832898585 \tabularnewline
0.97 & 114.325401702211 & 0.782986680628588 \tabularnewline
0.98 & 115.180232807148 & 1.09564735451384 \tabularnewline
0.99 & 116.362202745865 & 1.29136745830540 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=115993&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]92.7206145222488[/C][C]0.749267671643823[/C][/ROW]
[ROW][C]0.02[/C][C]93.287661113979[/C][C]0.312766057373711[/C][/ROW]
[ROW][C]0.03[/C][C]93.5747368206773[/C][C]0.234001190122164[/C][/ROW]
[ROW][C]0.04[/C][C]93.762487678663[/C][C]0.309165855503275[/C][/ROW]
[ROW][C]0.05[/C][C]93.9525371591934[/C][C]0.385399439797716[/C][/ROW]
[ROW][C]0.06[/C][C]94.157801866248[/C][C]0.424776723454667[/C][/ROW]
[ROW][C]0.07[/C][C]94.3661382646796[/C][C]0.437280995468312[/C][/ROW]
[ROW][C]0.08[/C][C]94.5681803093891[/C][C]0.443219303441065[/C][/ROW]
[ROW][C]0.09[/C][C]94.7617961980997[/C][C]0.451703240195180[/C][/ROW]
[ROW][C]0.1[/C][C]94.9484029227352[/C][C]0.461264293632541[/C][/ROW]
[ROW][C]0.11[/C][C]95.1296374848816[/C][C]0.469832688142144[/C][/ROW]
[ROW][C]0.12[/C][C]95.3065706014072[/C][C]0.477986830712784[/C][/ROW]
[ROW][C]0.13[/C][C]95.4802243838934[/C][C]0.488352381950877[/C][/ROW]
[ROW][C]0.14[/C][C]95.6519907488774[/C][C]0.502711794784448[/C][/ROW]
[ROW][C]0.15[/C][C]95.8235635668213[/C][C]0.521875839525978[/C][/ROW]
[ROW][C]0.16[/C][C]95.9966208860147[/C][C]0.545050166204518[/C][/ROW]
[ROW][C]0.17[/C][C]96.172520170945[/C][C]0.571303269473534[/C][/ROW]
[ROW][C]0.18[/C][C]96.3520879795515[/C][C]0.598813643903202[/C][/ROW]
[ROW][C]0.19[/C][C]96.53547967873[/C][C]0.624928782350956[/C][/ROW]
[ROW][C]0.2[/C][C]96.7220936489015[/C][C]0.646974538293286[/C][/ROW]
[ROW][C]0.21[/C][C]96.9105711424932[/C][C]0.661964746822993[/C][/ROW]
[ROW][C]0.22[/C][C]97.0989281222879[/C][C]0.667803860122897[/C][/ROW]
[ROW][C]0.23[/C][C]97.2848315862973[/C][C]0.663659646082614[/C][/ROW]
[ROW][C]0.24[/C][C]97.4659744942177[/C][C]0.650181908370903[/C][/ROW]
[ROW][C]0.25[/C][C]97.6404570049854[/C][C]0.629780552188505[/C][/ROW]
[ROW][C]0.26[/C][C]97.8070715140297[/C][C]0.605612124065446[/C][/ROW]
[ROW][C]0.27[/C][C]97.9654180677233[/C][C]0.580927401434241[/C][/ROW]
[ROW][C]0.28[/C][C]98.1158315433997[/C][C]0.558554545182615[/C][/ROW]
[ROW][C]0.29[/C][C]98.259161286284[/C][C]0.539973263439258[/C][/ROW]
[ROW][C]0.3[/C][C]98.3964870151968[/C][C]0.525368183186005[/C][/ROW]
[ROW][C]0.31[/C][C]98.5288677937679[/C][C]0.513978198787667[/C][/ROW]
[ROW][C]0.32[/C][C]98.6572005302098[/C][C]0.504975149155077[/C][/ROW]
[ROW][C]0.33[/C][C]98.7822192274065[/C][C]0.497433812542159[/C][/ROW]
[ROW][C]0.34[/C][C]98.9046127714227[/C][C]0.491932986204725[/C][/ROW]
[ROW][C]0.35[/C][C]99.0251961272207[/C][C]0.489497962922862[/C][/ROW]
[ROW][C]0.36[/C][C]99.145051510358[/C][C]0.492078833241717[/C][/ROW]
[ROW][C]0.37[/C][C]99.2655676055063[/C][C]0.501446198419497[/C][/ROW]
[ROW][C]0.38[/C][C]99.388341482017[/C][C]0.518357804053462[/C][/ROW]
[ROW][C]0.39[/C][C]99.5149569268708[/C][C]0.542129867404764[/C][/ROW]
[ROW][C]0.4[/C][C]99.6466981937696[/C][C]0.570708716894501[/C][/ROW]
[ROW][C]0.41[/C][C]99.784284842663[/C][C]0.600635925762292[/C][/ROW]
[ROW][C]0.42[/C][C]99.9277128601325[/C][C]0.628199560537164[/C][/ROW]
[ROW][C]0.43[/C][C]100.076260130185[/C][C]0.650148727796652[/C][/ROW]
[ROW][C]0.44[/C][C]100.228669830306[/C][C]0.664580611711794[/C][/ROW]
[ROW][C]0.45[/C][C]100.383477881420[/C][C]0.671602635279273[/C][/ROW]
[ROW][C]0.46[/C][C]100.539414298184[/C][C]0.673076930846639[/C][/ROW]
[ROW][C]0.47[/C][C]100.695791951295[/C][C]0.672599738285287[/C][/ROW]
[ROW][C]0.48[/C][C]100.852800944201[/C][C]0.67483471491791[/C][/ROW]
[ROW][C]0.49[/C][C]101.011647127599[/C][C]0.684655078684841[/C][/ROW]
[ROW][C]0.5[/C][C]101.174501321846[/C][C]0.706442583929617[/C][/ROW]
[ROW][C]0.51[/C][C]101.344255507823[/C][C]0.743186645932974[/C][/ROW]
[ROW][C]0.52[/C][C]101.524111413747[/C][C]0.794909842894943[/C][/ROW]
[ROW][C]0.53[/C][C]101.717055886602[/C][C]0.859311383139293[/C][/ROW]
[ROW][C]0.54[/C][C]101.925305090869[/C][C]0.931172624594013[/C][/ROW]
[ROW][C]0.55[/C][C]102.149820045736[/C][C]1.00355884406797[/C][/ROW]
[ROW][C]0.56[/C][C]102.389999001635[/C][C]1.06863498405461[/C][/ROW]
[ROW][C]0.57[/C][C]102.643628057616[/C][C]1.11946527993608[/C][/ROW]
[ROW][C]0.58[/C][C]102.907118747420[/C][C]1.15049450009463[/C][/ROW]
[ROW][C]0.59[/C][C]103.175991674182[/C][C]1.15937732104287[/C][/ROW]
[ROW][C]0.6[/C][C]103.445501497444[/C][C]1.14667548941482[/C][/ROW]
[ROW][C]0.61[/C][C]103.711265486639[/C][C]1.11565231762784[/C][/ROW]
[ROW][C]0.62[/C][C]103.969769735095[/C][C]1.07145911638769[/C][/ROW]
[ROW][C]0.63[/C][C]104.218679091659[/C][C]1.01996194838799[/C][/ROW]
[ROW][C]0.64[/C][C]104.456945815828[/C][C]0.966803004080111[/C][/ROW]
[ROW][C]0.65[/C][C]104.684767597898[/C][C]0.916730018572482[/C][/ROW]
[ROW][C]0.66[/C][C]104.903465761699[/C][C]0.873878703181404[/C][/ROW]
[ROW][C]0.67[/C][C]105.115336122061[/C][C]0.841901279153912[/C][/ROW]
[ROW][C]0.68[/C][C]105.323484283565[/C][C]0.823565478785359[/C][/ROW]
[ROW][C]0.69[/C][C]105.531619311931[/C][C]0.82126954033895[/C][/ROW]
[ROW][C]0.7[/C][C]105.743765143552[/C][C]0.835327112782839[/C][/ROW]
[ROW][C]0.71[/C][C]105.963865043917[/C][C]0.864607622139638[/C][/ROW]
[ROW][C]0.72[/C][C]106.195295303424[/C][C]0.90552634160141[/C][/ROW]
[ROW][C]0.73[/C][C]106.440357412042[/C][C]0.952386198918543[/C][/ROW]
[ROW][C]0.74[/C][C]106.699866784692[/C][C]0.998414687690577[/C][/ROW]
[ROW][C]0.75[/C][C]106.972979560336[/C][C]1.03647036793472[/C][/ROW]
[ROW][C]0.76[/C][C]107.257371946356[/C][C]1.06091688399283[/C][/ROW]
[ROW][C]0.77[/C][C]107.549792437929[/C][C]1.06919701324642[/C][/ROW]
[ROW][C]0.78[/C][C]107.846861456839[/C][C]1.06255120881108[/C][/ROW]
[ROW][C]0.79[/C][C]108.145858097163[/C][C]1.04552093004965[/C][/ROW]
[ROW][C]0.8[/C][C]108.445199533789[/C][C]1.02382473146290[/C][/ROW]
[ROW][C]0.81[/C][C]108.744442733961[/C][C]1.00219932957249[/C][/ROW]
[ROW][C]0.82[/C][C]109.043884246835[/C][C]0.982277808702167[/C][/ROW]
[ROW][C]0.83[/C][C]109.344069285056[/C][C]0.963007306626288[/C][/ROW]
[ROW][C]0.84[/C][C]109.645595323245[/C][C]0.943032001309184[/C][/ROW]
[ROW][C]0.85[/C][C]109.949442253241[/C][C]0.923126653847002[/C][/ROW]
[ROW][C]0.86[/C][C]110.257732184402[/C][C]0.907322585809435[/C][/ROW]
[ROW][C]0.87[/C][C]110.57442954316[/C][C]0.90201168968579[/C][/ROW]
[ROW][C]0.88[/C][C]110.905174526499[/C][C]0.91260416367314[/C][/ROW]
[ROW][C]0.89[/C][C]111.255442287826[/C][C]0.93722884103376[/C][/ROW]
[ROW][C]0.9[/C][C]111.626911460756[/C][C]0.96118585773264[/C][/ROW]
[ROW][C]0.91[/C][C]112.013460600308[/C][C]0.958694720957767[/C][/ROW]
[ROW][C]0.92[/C][C]112.399873649998[/C][C]0.90464637765647[/C][/ROW]
[ROW][C]0.93[/C][C]112.766608161970[/C][C]0.7934697632404[/C][/ROW]
[ROW][C]0.94[/C][C]113.102144402288[/C][C]0.65254477561093[/C][/ROW]
[ROW][C]0.95[/C][C]113.421814132964[/C][C]0.545067091033651[/C][/ROW]
[ROW][C]0.96[/C][C]113.788912081798[/C][C]0.56740832898585[/C][/ROW]
[ROW][C]0.97[/C][C]114.325401702211[/C][C]0.782986680628588[/C][/ROW]
[ROW][C]0.98[/C][C]115.180232807148[/C][C]1.09564735451384[/C][/ROW]
[ROW][C]0.99[/C][C]116.362202745865[/C][C]1.29136745830540[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=115993&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=115993&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
0.0192.72061452224880.749267671643823
0.0293.2876611139790.312766057373711
0.0393.57473682067730.234001190122164
0.0493.7624876786630.309165855503275
0.0593.95253715919340.385399439797716
0.0694.1578018662480.424776723454667
0.0794.36613826467960.437280995468312
0.0894.56818030938910.443219303441065
0.0994.76179619809970.451703240195180
0.194.94840292273520.461264293632541
0.1195.12963748488160.469832688142144
0.1295.30657060140720.477986830712784
0.1395.48022438389340.488352381950877
0.1495.65199074887740.502711794784448
0.1595.82356356682130.521875839525978
0.1695.99662088601470.545050166204518
0.1796.1725201709450.571303269473534
0.1896.35208797955150.598813643903202
0.1996.535479678730.624928782350956
0.296.72209364890150.646974538293286
0.2196.91057114249320.661964746822993
0.2297.09892812228790.667803860122897
0.2397.28483158629730.663659646082614
0.2497.46597449421770.650181908370903
0.2597.64045700498540.629780552188505
0.2697.80707151402970.605612124065446
0.2797.96541806772330.580927401434241
0.2898.11583154339970.558554545182615
0.2998.2591612862840.539973263439258
0.398.39648701519680.525368183186005
0.3198.52886779376790.513978198787667
0.3298.65720053020980.504975149155077
0.3398.78221922740650.497433812542159
0.3498.90461277142270.491932986204725
0.3599.02519612722070.489497962922862
0.3699.1450515103580.492078833241717
0.3799.26556760550630.501446198419497
0.3899.3883414820170.518357804053462
0.3999.51495692687080.542129867404764
0.499.64669819376960.570708716894501
0.4199.7842848426630.600635925762292
0.4299.92771286013250.628199560537164
0.43100.0762601301850.650148727796652
0.44100.2286698303060.664580611711794
0.45100.3834778814200.671602635279273
0.46100.5394142981840.673076930846639
0.47100.6957919512950.672599738285287
0.48100.8528009442010.67483471491791
0.49101.0116471275990.684655078684841
0.5101.1745013218460.706442583929617
0.51101.3442555078230.743186645932974
0.52101.5241114137470.794909842894943
0.53101.7170558866020.859311383139293
0.54101.9253050908690.931172624594013
0.55102.1498200457361.00355884406797
0.56102.3899990016351.06863498405461
0.57102.6436280576161.11946527993608
0.58102.9071187474201.15049450009463
0.59103.1759916741821.15937732104287
0.6103.4455014974441.14667548941482
0.61103.7112654866391.11565231762784
0.62103.9697697350951.07145911638769
0.63104.2186790916591.01996194838799
0.64104.4569458158280.966803004080111
0.65104.6847675978980.916730018572482
0.66104.9034657616990.873878703181404
0.67105.1153361220610.841901279153912
0.68105.3234842835650.823565478785359
0.69105.5316193119310.82126954033895
0.7105.7437651435520.835327112782839
0.71105.9638650439170.864607622139638
0.72106.1952953034240.90552634160141
0.73106.4403574120420.952386198918543
0.74106.6998667846920.998414687690577
0.75106.9729795603361.03647036793472
0.76107.2573719463561.06091688399283
0.77107.5497924379291.06919701324642
0.78107.8468614568391.06255120881108
0.79108.1458580971631.04552093004965
0.8108.4451995337891.02382473146290
0.81108.7444427339611.00219932957249
0.82109.0438842468350.982277808702167
0.83109.3440692850560.963007306626288
0.84109.6455953232450.943032001309184
0.85109.9494422532410.923126653847002
0.86110.2577321844020.907322585809435
0.87110.574429543160.90201168968579
0.88110.9051745264990.91260416367314
0.89111.2554422878260.93722884103376
0.9111.6269114607560.96118585773264
0.91112.0134606003080.958694720957767
0.92112.3998736499980.90464637765647
0.93112.7666081619700.7934697632404
0.94113.1021444022880.65254477561093
0.95113.4218141329640.545067091033651
0.96113.7889120817980.56740832898585
0.97114.3254017022110.782986680628588
0.98115.1802328071481.09564735451384
0.99116.3622027458651.29136745830540


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = grey ;
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')