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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 computationWed, 21 Oct 2009 12:47:32 -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/21/t1256151027ybi2iakz00z2dn0.htm/, Retrieved Thu, 02 May 2024 03:36:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=49586, Retrieved Thu, 02 May 2024 03:36:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact124

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Data Series] [Bivariate dataset] [2008-01-05 23:51:08] [74be16979710d4c4e7c6647856088456]
F RMPD  [Univariate Explorative Data Analysis] [Colombia Coffee] [2008-01-07 14:21:11] [74be16979710d4c4e7c6647856088456]
F RMPD    [Univariate Data Series] [] [2009-10-14 08:30:28] [74be16979710d4c4e7c6647856088456]
- RMPD      [Histogram] [Workshop 3 part 2] [2009-10-21 14:40:32] [786e067c4f7cec17385c4742b96b6dfa]
- RMPD          [Harrell-Davis Quantiles] [Workshop3] [2009-10-21 18:47:32] [5cd0e65b1f56b3935a0672588b930e12] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3,04
3,12
3,21
3,34
3,45
3,74
4,02
4,24
4,87
5,62
6,02
5,98
5,89
5,76
5,58
5,39
5,19
5,16
5,2
5,25
5,26
5,21
5,18
5,13
5,03
5,01
4,87
4,86
4,82
4,69
4,65
4,61
4,47
4,37
4,29
4,2
4,19
4,09
3,88
3,87
3,74
3,61
3,43
3,29
3,18
3,07
3,02
2,97
2,98
3,01
3,06
3,12
3,16
3,19
3,21
3,27
3,36
3,45
3,52
3,58

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=49586&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=49586&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49586&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
0.012.974092348623860.0135019882091066
0.022.981507586266810.0189851960965806
0.032.991184722915160.0235383741635707
0.043.002035742718290.0265902624313794
0.053.013355163505760.0290408419787643
0.063.024847964888790.0317710104862034
0.073.036492097415930.0350437313252662
0.083.048378518319260.0386869931586053
0.093.060596363153540.0423782305199901
0.13.073178363297420.045821349892646
0.113.086093505722230.0488099753443146
0.123.099266284562170.0512582357445644
0.133.112605593648730.0531995765127229
0.143.126032734833510.0547906736953223
0.153.139502978865430.0562636363403357
0.163.153018130341690.0579047789244911
0.173.166629459889470.059991058664548
0.183.180431841538700.0627372545249533
0.193.194551143774310.0662663126390046
0.23.209127767987330.070586935141135
0.213.224299574020920.0756089591902147
0.223.240187226198520.081157669050378
0.233.256884287331590.087038498984381
0.243.274453329488270.0930641240581298
0.253.292928130132590.0990969558154098
0.263.312320912291170.10506843297141
0.273.332632768350530.110980494647864
0.283.3538650054870.116909373393337
0.293.376029197499930.122990111780204
0.33.399154162588980.129370760197459
0.313.423288782632680.136201279334777
0.323.448500378738260.143591248624155
0.333.474869106132120.151590241750286
0.343.502479407077650.160175778061111
0.353.531409891993470.169246932843388
0.363.561723091415930.178650499257121
0.373.593456371323890.18817215739108
0.383.626615004162380.197580440362851
0.393.661168024600420.206630541435469
0.43.697047150741070.215086286298908
0.413.734148768640740.222734438609823
0.423.772338774229760.229399328952706
0.433.811459921902820.234955706771704
0.443.851341203491990.239330940811642
0.453.89180863667770.24252602933366
0.463.932696661439640.244611491767416
0.473.973859144612370.245743391341137
0.484.015178828255710.246121091895218
0.494.056574000767080.246017195565191
0.54.098001291454130.245707369185722
0.514.139453831717650.245463692069429
0.524.180954581120750.245485927252175
0.534.222545318128250.245893921107533
0.544.264272526576690.246676415743002
0.554.306172026346990.247708097924952
0.564.348254562271440.248748931579403
0.574.390494580024870.249492895409364
0.584.432824046740240.249597592082327
0.594.47513245702680.248768585167724
0.64.517273209934060.246753754084410
0.614.559075505046230.243431831280423
0.624.600359961312460.238804860836975
0.634.64095547450760.232994790893756
0.644.68071452576110.226223678989120
0.654.719524306503610.218793044861212
0.664.757311640325120.211029063427172
0.674.794040694974350.203222239862639
0.684.829703755178910.195584849338098
0.694.86430667831530.188223367844545
0.74.897851852506070.181081628373623
0.714.930322289494450.174004326693237
0.724.961670722483810.166740066252560
0.734.991817139331730.159013449301848
0.745.020657084529470.150612152594882
0.755.048081462329890.141452980565023
0.765.074006725860960.13163387830989
0.775.098412540374670.121463274560287
0.785.12138251495910.111468118814404
0.795.143142541615880.102394789341635
0.85.164090667046560.09517186027683
0.815.184812194421380.0908377316797712
0.825.206073909192740.0904083533861688
0.835.228792251960640.0945805519951634
0.845.253972550852880.103482515038732
0.855.282620795151390.116551864585887
0.865.315636091369990.132622180313966
0.875.353699769544280.150076565022561
0.885.397183084555750.167031389546649
0.895.44609512956220.181620484402481
0.95.500082115137140.192300069468524
0.915.55846877843230.198127879738390
0.925.620309710529640.198772165679071
0.935.684407088367830.194243159174019
0.945.749266335882240.184404409413964
0.955.813004224793360.168651429607545
0.965.873269438847920.146165218745639
0.975.927238665024680.116965824000649
0.985.971712881258490.0838092669735321
0.996.003414981378230.0544319889688105

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.97409234862386 & 0.0135019882091066 \tabularnewline
0.02 & 2.98150758626681 & 0.0189851960965806 \tabularnewline
0.03 & 2.99118472291516 & 0.0235383741635707 \tabularnewline
0.04 & 3.00203574271829 & 0.0265902624313794 \tabularnewline
0.05 & 3.01335516350576 & 0.0290408419787643 \tabularnewline
0.06 & 3.02484796488879 & 0.0317710104862034 \tabularnewline
0.07 & 3.03649209741593 & 0.0350437313252662 \tabularnewline
0.08 & 3.04837851831926 & 0.0386869931586053 \tabularnewline
0.09 & 3.06059636315354 & 0.0423782305199901 \tabularnewline
0.1 & 3.07317836329742 & 0.045821349892646 \tabularnewline
0.11 & 3.08609350572223 & 0.0488099753443146 \tabularnewline
0.12 & 3.09926628456217 & 0.0512582357445644 \tabularnewline
0.13 & 3.11260559364873 & 0.0531995765127229 \tabularnewline
0.14 & 3.12603273483351 & 0.0547906736953223 \tabularnewline
0.15 & 3.13950297886543 & 0.0562636363403357 \tabularnewline
0.16 & 3.15301813034169 & 0.0579047789244911 \tabularnewline
0.17 & 3.16662945988947 & 0.059991058664548 \tabularnewline
0.18 & 3.18043184153870 & 0.0627372545249533 \tabularnewline
0.19 & 3.19455114377431 & 0.0662663126390046 \tabularnewline
0.2 & 3.20912776798733 & 0.070586935141135 \tabularnewline
0.21 & 3.22429957402092 & 0.0756089591902147 \tabularnewline
0.22 & 3.24018722619852 & 0.081157669050378 \tabularnewline
0.23 & 3.25688428733159 & 0.087038498984381 \tabularnewline
0.24 & 3.27445332948827 & 0.0930641240581298 \tabularnewline
0.25 & 3.29292813013259 & 0.0990969558154098 \tabularnewline
0.26 & 3.31232091229117 & 0.10506843297141 \tabularnewline
0.27 & 3.33263276835053 & 0.110980494647864 \tabularnewline
0.28 & 3.353865005487 & 0.116909373393337 \tabularnewline
0.29 & 3.37602919749993 & 0.122990111780204 \tabularnewline
0.3 & 3.39915416258898 & 0.129370760197459 \tabularnewline
0.31 & 3.42328878263268 & 0.136201279334777 \tabularnewline
0.32 & 3.44850037873826 & 0.143591248624155 \tabularnewline
0.33 & 3.47486910613212 & 0.151590241750286 \tabularnewline
0.34 & 3.50247940707765 & 0.160175778061111 \tabularnewline
0.35 & 3.53140989199347 & 0.169246932843388 \tabularnewline
0.36 & 3.56172309141593 & 0.178650499257121 \tabularnewline
0.37 & 3.59345637132389 & 0.18817215739108 \tabularnewline
0.38 & 3.62661500416238 & 0.197580440362851 \tabularnewline
0.39 & 3.66116802460042 & 0.206630541435469 \tabularnewline
0.4 & 3.69704715074107 & 0.215086286298908 \tabularnewline
0.41 & 3.73414876864074 & 0.222734438609823 \tabularnewline
0.42 & 3.77233877422976 & 0.229399328952706 \tabularnewline
0.43 & 3.81145992190282 & 0.234955706771704 \tabularnewline
0.44 & 3.85134120349199 & 0.239330940811642 \tabularnewline
0.45 & 3.8918086366777 & 0.24252602933366 \tabularnewline
0.46 & 3.93269666143964 & 0.244611491767416 \tabularnewline
0.47 & 3.97385914461237 & 0.245743391341137 \tabularnewline
0.48 & 4.01517882825571 & 0.246121091895218 \tabularnewline
0.49 & 4.05657400076708 & 0.246017195565191 \tabularnewline
0.5 & 4.09800129145413 & 0.245707369185722 \tabularnewline
0.51 & 4.13945383171765 & 0.245463692069429 \tabularnewline
0.52 & 4.18095458112075 & 0.245485927252175 \tabularnewline
0.53 & 4.22254531812825 & 0.245893921107533 \tabularnewline
0.54 & 4.26427252657669 & 0.246676415743002 \tabularnewline
0.55 & 4.30617202634699 & 0.247708097924952 \tabularnewline
0.56 & 4.34825456227144 & 0.248748931579403 \tabularnewline
0.57 & 4.39049458002487 & 0.249492895409364 \tabularnewline
0.58 & 4.43282404674024 & 0.249597592082327 \tabularnewline
0.59 & 4.4751324570268 & 0.248768585167724 \tabularnewline
0.6 & 4.51727320993406 & 0.246753754084410 \tabularnewline
0.61 & 4.55907550504623 & 0.243431831280423 \tabularnewline
0.62 & 4.60035996131246 & 0.238804860836975 \tabularnewline
0.63 & 4.6409554745076 & 0.232994790893756 \tabularnewline
0.64 & 4.6807145257611 & 0.226223678989120 \tabularnewline
0.65 & 4.71952430650361 & 0.218793044861212 \tabularnewline
0.66 & 4.75731164032512 & 0.211029063427172 \tabularnewline
0.67 & 4.79404069497435 & 0.203222239862639 \tabularnewline
0.68 & 4.82970375517891 & 0.195584849338098 \tabularnewline
0.69 & 4.8643066783153 & 0.188223367844545 \tabularnewline
0.7 & 4.89785185250607 & 0.181081628373623 \tabularnewline
0.71 & 4.93032228949445 & 0.174004326693237 \tabularnewline
0.72 & 4.96167072248381 & 0.166740066252560 \tabularnewline
0.73 & 4.99181713933173 & 0.159013449301848 \tabularnewline
0.74 & 5.02065708452947 & 0.150612152594882 \tabularnewline
0.75 & 5.04808146232989 & 0.141452980565023 \tabularnewline
0.76 & 5.07400672586096 & 0.13163387830989 \tabularnewline
0.77 & 5.09841254037467 & 0.121463274560287 \tabularnewline
0.78 & 5.1213825149591 & 0.111468118814404 \tabularnewline
0.79 & 5.14314254161588 & 0.102394789341635 \tabularnewline
0.8 & 5.16409066704656 & 0.09517186027683 \tabularnewline
0.81 & 5.18481219442138 & 0.0908377316797712 \tabularnewline
0.82 & 5.20607390919274 & 0.0904083533861688 \tabularnewline
0.83 & 5.22879225196064 & 0.0945805519951634 \tabularnewline
0.84 & 5.25397255085288 & 0.103482515038732 \tabularnewline
0.85 & 5.28262079515139 & 0.116551864585887 \tabularnewline
0.86 & 5.31563609136999 & 0.132622180313966 \tabularnewline
0.87 & 5.35369976954428 & 0.150076565022561 \tabularnewline
0.88 & 5.39718308455575 & 0.167031389546649 \tabularnewline
0.89 & 5.4460951295622 & 0.181620484402481 \tabularnewline
0.9 & 5.50008211513714 & 0.192300069468524 \tabularnewline
0.91 & 5.5584687784323 & 0.198127879738390 \tabularnewline
0.92 & 5.62030971052964 & 0.198772165679071 \tabularnewline
0.93 & 5.68440708836783 & 0.194243159174019 \tabularnewline
0.94 & 5.74926633588224 & 0.184404409413964 \tabularnewline
0.95 & 5.81300422479336 & 0.168651429607545 \tabularnewline
0.96 & 5.87326943884792 & 0.146165218745639 \tabularnewline
0.97 & 5.92723866502468 & 0.116965824000649 \tabularnewline
0.98 & 5.97171288125849 & 0.0838092669735321 \tabularnewline
0.99 & 6.00341498137823 & 0.0544319889688105 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=49586&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]2.97409234862386[/C][C]0.0135019882091066[/C][/ROW]
[ROW][C]0.02[/C][C]2.98150758626681[/C][C]0.0189851960965806[/C][/ROW]
[ROW][C]0.03[/C][C]2.99118472291516[/C][C]0.0235383741635707[/C][/ROW]
[ROW][C]0.04[/C][C]3.00203574271829[/C][C]0.0265902624313794[/C][/ROW]
[ROW][C]0.05[/C][C]3.01335516350576[/C][C]0.0290408419787643[/C][/ROW]
[ROW][C]0.06[/C][C]3.02484796488879[/C][C]0.0317710104862034[/C][/ROW]
[ROW][C]0.07[/C][C]3.03649209741593[/C][C]0.0350437313252662[/C][/ROW]
[ROW][C]0.08[/C][C]3.04837851831926[/C][C]0.0386869931586053[/C][/ROW]
[ROW][C]0.09[/C][C]3.06059636315354[/C][C]0.0423782305199901[/C][/ROW]
[ROW][C]0.1[/C][C]3.07317836329742[/C][C]0.045821349892646[/C][/ROW]
[ROW][C]0.11[/C][C]3.08609350572223[/C][C]0.0488099753443146[/C][/ROW]
[ROW][C]0.12[/C][C]3.09926628456217[/C][C]0.0512582357445644[/C][/ROW]
[ROW][C]0.13[/C][C]3.11260559364873[/C][C]0.0531995765127229[/C][/ROW]
[ROW][C]0.14[/C][C]3.12603273483351[/C][C]0.0547906736953223[/C][/ROW]
[ROW][C]0.15[/C][C]3.13950297886543[/C][C]0.0562636363403357[/C][/ROW]
[ROW][C]0.16[/C][C]3.15301813034169[/C][C]0.0579047789244911[/C][/ROW]
[ROW][C]0.17[/C][C]3.16662945988947[/C][C]0.059991058664548[/C][/ROW]
[ROW][C]0.18[/C][C]3.18043184153870[/C][C]0.0627372545249533[/C][/ROW]
[ROW][C]0.19[/C][C]3.19455114377431[/C][C]0.0662663126390046[/C][/ROW]
[ROW][C]0.2[/C][C]3.20912776798733[/C][C]0.070586935141135[/C][/ROW]
[ROW][C]0.21[/C][C]3.22429957402092[/C][C]0.0756089591902147[/C][/ROW]
[ROW][C]0.22[/C][C]3.24018722619852[/C][C]0.081157669050378[/C][/ROW]
[ROW][C]0.23[/C][C]3.25688428733159[/C][C]0.087038498984381[/C][/ROW]
[ROW][C]0.24[/C][C]3.27445332948827[/C][C]0.0930641240581298[/C][/ROW]
[ROW][C]0.25[/C][C]3.29292813013259[/C][C]0.0990969558154098[/C][/ROW]
[ROW][C]0.26[/C][C]3.31232091229117[/C][C]0.10506843297141[/C][/ROW]
[ROW][C]0.27[/C][C]3.33263276835053[/C][C]0.110980494647864[/C][/ROW]
[ROW][C]0.28[/C][C]3.353865005487[/C][C]0.116909373393337[/C][/ROW]
[ROW][C]0.29[/C][C]3.37602919749993[/C][C]0.122990111780204[/C][/ROW]
[ROW][C]0.3[/C][C]3.39915416258898[/C][C]0.129370760197459[/C][/ROW]
[ROW][C]0.31[/C][C]3.42328878263268[/C][C]0.136201279334777[/C][/ROW]
[ROW][C]0.32[/C][C]3.44850037873826[/C][C]0.143591248624155[/C][/ROW]
[ROW][C]0.33[/C][C]3.47486910613212[/C][C]0.151590241750286[/C][/ROW]
[ROW][C]0.34[/C][C]3.50247940707765[/C][C]0.160175778061111[/C][/ROW]
[ROW][C]0.35[/C][C]3.53140989199347[/C][C]0.169246932843388[/C][/ROW]
[ROW][C]0.36[/C][C]3.56172309141593[/C][C]0.178650499257121[/C][/ROW]
[ROW][C]0.37[/C][C]3.59345637132389[/C][C]0.18817215739108[/C][/ROW]
[ROW][C]0.38[/C][C]3.62661500416238[/C][C]0.197580440362851[/C][/ROW]
[ROW][C]0.39[/C][C]3.66116802460042[/C][C]0.206630541435469[/C][/ROW]
[ROW][C]0.4[/C][C]3.69704715074107[/C][C]0.215086286298908[/C][/ROW]
[ROW][C]0.41[/C][C]3.73414876864074[/C][C]0.222734438609823[/C][/ROW]
[ROW][C]0.42[/C][C]3.77233877422976[/C][C]0.229399328952706[/C][/ROW]
[ROW][C]0.43[/C][C]3.81145992190282[/C][C]0.234955706771704[/C][/ROW]
[ROW][C]0.44[/C][C]3.85134120349199[/C][C]0.239330940811642[/C][/ROW]
[ROW][C]0.45[/C][C]3.8918086366777[/C][C]0.24252602933366[/C][/ROW]
[ROW][C]0.46[/C][C]3.93269666143964[/C][C]0.244611491767416[/C][/ROW]
[ROW][C]0.47[/C][C]3.97385914461237[/C][C]0.245743391341137[/C][/ROW]
[ROW][C]0.48[/C][C]4.01517882825571[/C][C]0.246121091895218[/C][/ROW]
[ROW][C]0.49[/C][C]4.05657400076708[/C][C]0.246017195565191[/C][/ROW]
[ROW][C]0.5[/C][C]4.09800129145413[/C][C]0.245707369185722[/C][/ROW]
[ROW][C]0.51[/C][C]4.13945383171765[/C][C]0.245463692069429[/C][/ROW]
[ROW][C]0.52[/C][C]4.18095458112075[/C][C]0.245485927252175[/C][/ROW]
[ROW][C]0.53[/C][C]4.22254531812825[/C][C]0.245893921107533[/C][/ROW]
[ROW][C]0.54[/C][C]4.26427252657669[/C][C]0.246676415743002[/C][/ROW]
[ROW][C]0.55[/C][C]4.30617202634699[/C][C]0.247708097924952[/C][/ROW]
[ROW][C]0.56[/C][C]4.34825456227144[/C][C]0.248748931579403[/C][/ROW]
[ROW][C]0.57[/C][C]4.39049458002487[/C][C]0.249492895409364[/C][/ROW]
[ROW][C]0.58[/C][C]4.43282404674024[/C][C]0.249597592082327[/C][/ROW]
[ROW][C]0.59[/C][C]4.4751324570268[/C][C]0.248768585167724[/C][/ROW]
[ROW][C]0.6[/C][C]4.51727320993406[/C][C]0.246753754084410[/C][/ROW]
[ROW][C]0.61[/C][C]4.55907550504623[/C][C]0.243431831280423[/C][/ROW]
[ROW][C]0.62[/C][C]4.60035996131246[/C][C]0.238804860836975[/C][/ROW]
[ROW][C]0.63[/C][C]4.6409554745076[/C][C]0.232994790893756[/C][/ROW]
[ROW][C]0.64[/C][C]4.6807145257611[/C][C]0.226223678989120[/C][/ROW]
[ROW][C]0.65[/C][C]4.71952430650361[/C][C]0.218793044861212[/C][/ROW]
[ROW][C]0.66[/C][C]4.75731164032512[/C][C]0.211029063427172[/C][/ROW]
[ROW][C]0.67[/C][C]4.79404069497435[/C][C]0.203222239862639[/C][/ROW]
[ROW][C]0.68[/C][C]4.82970375517891[/C][C]0.195584849338098[/C][/ROW]
[ROW][C]0.69[/C][C]4.8643066783153[/C][C]0.188223367844545[/C][/ROW]
[ROW][C]0.7[/C][C]4.89785185250607[/C][C]0.181081628373623[/C][/ROW]
[ROW][C]0.71[/C][C]4.93032228949445[/C][C]0.174004326693237[/C][/ROW]
[ROW][C]0.72[/C][C]4.96167072248381[/C][C]0.166740066252560[/C][/ROW]
[ROW][C]0.73[/C][C]4.99181713933173[/C][C]0.159013449301848[/C][/ROW]
[ROW][C]0.74[/C][C]5.02065708452947[/C][C]0.150612152594882[/C][/ROW]
[ROW][C]0.75[/C][C]5.04808146232989[/C][C]0.141452980565023[/C][/ROW]
[ROW][C]0.76[/C][C]5.07400672586096[/C][C]0.13163387830989[/C][/ROW]
[ROW][C]0.77[/C][C]5.09841254037467[/C][C]0.121463274560287[/C][/ROW]
[ROW][C]0.78[/C][C]5.1213825149591[/C][C]0.111468118814404[/C][/ROW]
[ROW][C]0.79[/C][C]5.14314254161588[/C][C]0.102394789341635[/C][/ROW]
[ROW][C]0.8[/C][C]5.16409066704656[/C][C]0.09517186027683[/C][/ROW]
[ROW][C]0.81[/C][C]5.18481219442138[/C][C]0.0908377316797712[/C][/ROW]
[ROW][C]0.82[/C][C]5.20607390919274[/C][C]0.0904083533861688[/C][/ROW]
[ROW][C]0.83[/C][C]5.22879225196064[/C][C]0.0945805519951634[/C][/ROW]
[ROW][C]0.84[/C][C]5.25397255085288[/C][C]0.103482515038732[/C][/ROW]
[ROW][C]0.85[/C][C]5.28262079515139[/C][C]0.116551864585887[/C][/ROW]
[ROW][C]0.86[/C][C]5.31563609136999[/C][C]0.132622180313966[/C][/ROW]
[ROW][C]0.87[/C][C]5.35369976954428[/C][C]0.150076565022561[/C][/ROW]
[ROW][C]0.88[/C][C]5.39718308455575[/C][C]0.167031389546649[/C][/ROW]
[ROW][C]0.89[/C][C]5.4460951295622[/C][C]0.181620484402481[/C][/ROW]
[ROW][C]0.9[/C][C]5.50008211513714[/C][C]0.192300069468524[/C][/ROW]
[ROW][C]0.91[/C][C]5.5584687784323[/C][C]0.198127879738390[/C][/ROW]
[ROW][C]0.92[/C][C]5.62030971052964[/C][C]0.198772165679071[/C][/ROW]
[ROW][C]0.93[/C][C]5.68440708836783[/C][C]0.194243159174019[/C][/ROW]
[ROW][C]0.94[/C][C]5.74926633588224[/C][C]0.184404409413964[/C][/ROW]
[ROW][C]0.95[/C][C]5.81300422479336[/C][C]0.168651429607545[/C][/ROW]
[ROW][C]0.96[/C][C]5.87326943884792[/C][C]0.146165218745639[/C][/ROW]
[ROW][C]0.97[/C][C]5.92723866502468[/C][C]0.116965824000649[/C][/ROW]
[ROW][C]0.98[/C][C]5.97171288125849[/C][C]0.0838092669735321[/C][/ROW]
[ROW][C]0.99[/C][C]6.00341498137823[/C][C]0.0544319889688105[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=49586&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=49586&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
0.012.974092348623860.0135019882091066
0.022.981507586266810.0189851960965806
0.032.991184722915160.0235383741635707
0.043.002035742718290.0265902624313794
0.053.013355163505760.0290408419787643
0.063.024847964888790.0317710104862034
0.073.036492097415930.0350437313252662
0.083.048378518319260.0386869931586053
0.093.060596363153540.0423782305199901
0.13.073178363297420.045821349892646
0.113.086093505722230.0488099753443146
0.123.099266284562170.0512582357445644
0.133.112605593648730.0531995765127229
0.143.126032734833510.0547906736953223
0.153.139502978865430.0562636363403357
0.163.153018130341690.0579047789244911
0.173.166629459889470.059991058664548
0.183.180431841538700.0627372545249533
0.193.194551143774310.0662663126390046
0.23.209127767987330.070586935141135
0.213.224299574020920.0756089591902147
0.223.240187226198520.081157669050378
0.233.256884287331590.087038498984381
0.243.274453329488270.0930641240581298
0.253.292928130132590.0990969558154098
0.263.312320912291170.10506843297141
0.273.332632768350530.110980494647864
0.283.3538650054870.116909373393337
0.293.376029197499930.122990111780204
0.33.399154162588980.129370760197459
0.313.423288782632680.136201279334777
0.323.448500378738260.143591248624155
0.333.474869106132120.151590241750286
0.343.502479407077650.160175778061111
0.353.531409891993470.169246932843388
0.363.561723091415930.178650499257121
0.373.593456371323890.18817215739108
0.383.626615004162380.197580440362851
0.393.661168024600420.206630541435469
0.43.697047150741070.215086286298908
0.413.734148768640740.222734438609823
0.423.772338774229760.229399328952706
0.433.811459921902820.234955706771704
0.443.851341203491990.239330940811642
0.453.89180863667770.24252602933366
0.463.932696661439640.244611491767416
0.473.973859144612370.245743391341137
0.484.015178828255710.246121091895218
0.494.056574000767080.246017195565191
0.54.098001291454130.245707369185722
0.514.139453831717650.245463692069429
0.524.180954581120750.245485927252175
0.534.222545318128250.245893921107533
0.544.264272526576690.246676415743002
0.554.306172026346990.247708097924952
0.564.348254562271440.248748931579403
0.574.390494580024870.249492895409364
0.584.432824046740240.249597592082327
0.594.47513245702680.248768585167724
0.64.517273209934060.246753754084410
0.614.559075505046230.243431831280423
0.624.600359961312460.238804860836975
0.634.64095547450760.232994790893756
0.644.68071452576110.226223678989120
0.654.719524306503610.218793044861212
0.664.757311640325120.211029063427172
0.674.794040694974350.203222239862639
0.684.829703755178910.195584849338098
0.694.86430667831530.188223367844545
0.74.897851852506070.181081628373623
0.714.930322289494450.174004326693237
0.724.961670722483810.166740066252560
0.734.991817139331730.159013449301848
0.745.020657084529470.150612152594882
0.755.048081462329890.141452980565023
0.765.074006725860960.13163387830989
0.775.098412540374670.121463274560287
0.785.12138251495910.111468118814404
0.795.143142541615880.102394789341635
0.85.164090667046560.09517186027683
0.815.184812194421380.0908377316797712
0.825.206073909192740.0904083533861688
0.835.228792251960640.0945805519951634
0.845.253972550852880.103482515038732
0.855.282620795151390.116551864585887
0.865.315636091369990.132622180313966
0.875.353699769544280.150076565022561
0.885.397183084555750.167031389546649
0.895.44609512956220.181620484402481
0.95.500082115137140.192300069468524
0.915.55846877843230.198127879738390
0.925.620309710529640.198772165679071
0.935.684407088367830.194243159174019
0.945.749266335882240.184404409413964
0.955.813004224793360.168651429607545
0.965.873269438847920.146165218745639
0.975.927238665024680.116965824000649
0.985.971712881258490.0838092669735321
0.996.003414981378230.0544319889688105


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')