Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 11 Mar 2017 19:07:56 +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/2017/Mar/11/t1489259366t1cfz2x3mzvqzjt.htm/, Retrieved Tue, 14 May 2024 21:49:16 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 21:49:16 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0
Dataseries X:
84,11
85,86
86,27
87,26
88,89
89,68
90,12
90,18
90,32
91,15
91,2
92,69
95,46
97,02
97,24
97,28
97,57
97,64
98,07
98,44
98,46
98,67
98,86
99,09
99,21
99,26
99,5
99,51
99,56
99,57
99,63
99,79
99,81
99,88
99,97
99,98
100,08
100,14
100,24
100,34
100,39
100,4
100,42
100,42
100,45
100,46
100,47
100,48
100,51
100,52
100,55
100,59
100,67
100,72
100,96
101,05
101,29
101,37
101,42
101,46
101,53
101,59
101,64
101,65
101,66
101,72
101,77
101,99
102,07
102,17
102,34
102,34
102,37
102,4
102,4
102,4
102,42
102,42
102,44
102,44
102,45
102,47
102,48
102,51
102,53
102,57
102,59
102,61
102,67
102,69
102,73
102,75
102,78
102,83
102,84
102,87
102,89
102,91
102,92
102,93
102,93
102,94
102,96
102,97
102,99
103,02
103,04
103,04
103,05
103,06
103,08
103,09
103,1
103,11
103,13
103,14
103,16
103,17
103,18
103,19
103,2
103,2
103,22
103,22
103,23
103,25
103,26
103,26
103,29
103,31
103,32
103,34
103,37
103,38
103,41
103,41
103,42
103,45
103,47
103,47
103,47
103,53
103,54
103,55
103,61
103,64
103,68
103,69
103,71
103,71
103,74
103,77
103,81
103,81
103,83
103,86
103,89
103,9
103,92
103,93
103,93
103,94
103,97
103,97
103,97
103,98
103,98
103,99
104
104,03
104,05
104,05
104,06
104,09
104,1
104,13
104,15
104,16
104,2
104,21
104,24
104,25
104,28
104,28
104,28
104,31
104,31
104,32
104,35
104,39
104,46
104,46
104,59
104,61
104,64
104,64
104,65
104,67
104,7
104,73
104,74
104,75
104,76
104,8
104,8
104,8
104,9
104,95
104,95
104,95
104,97
104,97
105
105
105
105,02
105,03
105,03
105,03
105,07
105,07
105,09
105,1
105,16
105,17
105,18
105,2
105,21
105,25
105,27
105,28
105,29
105,3
105,3
105,36
105,37
105,37
105,4
105,41
105,41
105,43
105,45
105,51
105,66
105,67
105,71
105,78
106,01
106,03
106,07
106,89
106,94
107
107,17
107,23
107,68
107,69
107,7
107,72
107,8
107,82
107,85
108,03
108,04
108,09
108,11
108,15
108,24
108,91
108,94
108,96
109,4
109,68
113,65
114,31
114,32
114,72
115,07
116,45
116,47
116,47
116,48
116,76
116,84
116,92
117,34
132,09
132,09
132,09
132,09
132,09
132,09
132,09
132,09
132,09
132,09
132,09
132,09
132,09




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ yule.wessa.net

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

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

As an alternative you can also use a 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'George Udny Yule' @ yule.wessa.net







Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.93492093564071.45472946176982
0.0289.39427779809011.4473484350202
0.0391.40894238929572.0976044925242
0.0493.81194080990042.74648123887635
0.0596.08488191240812.1367087049371
0.0697.5573330889661.27469581725475
0.0798.39447399087930.834118754546849
0.0898.92781699914310.625669523229158
0.0999.30711808823150.486286867290795
0.199.59132710124630.397722551519089
0.1199.81897307138360.350750094316383
0.12100.0128588071780.317795962489019
0.13100.1801929675120.281598529561943
0.14100.3241615268660.252959337862687
0.15100.4557484146960.257401070446799
0.16100.5945357242770.308055626529018
0.17100.7586394966780.385631120126096
0.18100.9537678778980.455325143151624
0.19101.1712482265960.492684301588976
0.2101.3955495019720.495599872857738
0.21101.6131560024010.475465640236539
0.22101.8155364087570.441586203766431
0.23101.9969730439120.393552912174249
0.24102.1528675174960.334107182399652
0.25102.2812096457680.27245022478615
0.26102.3847455579790.222623275274888
0.27102.4705513676830.193310384272452
0.28102.5468695343650.183178910950576
0.29102.6196769359870.182321975496624
0.3102.6911833956310.181184402756859
0.31102.7605684820020.174799877003256
0.32102.8258333361760.162540316518357
0.33102.8854431351980.147358508204057
0.34102.9390514082590.133154961396559
0.35102.9873457800550.121493482262096
0.36103.0314896709130.112976120584343
0.37103.0726447184210.107325256653829
0.38103.1117991044370.103567167292639
0.39103.1498486620410.102174322851454
0.4103.1877444316740.104101444912539
0.41103.2265476606230.108680381218804
0.42103.2673478808630.116045156585375
0.43103.3111092523750.125922610015097
0.44103.3585417829540.137267223826852
0.45103.4100346164540.149198558192546
0.46103.4656077371880.160601963745969
0.47103.5248295199580.170089638867108
0.48103.5867251213980.176027440995815
0.49103.649778487970.176952472203592
0.5103.7121196387210.172124568570839
0.51103.7718944235190.162656829779701
0.52103.8277147193130.149992948159917
0.53103.8790407500090.136822538331401
0.54103.9263560574880.126712328597548
0.55103.9710506963650.121377466801991
0.56104.0150344893360.12207457600109
0.57104.0602367585920.127548491535481
0.58104.1082272982610.136521308394415
0.59104.1601221363160.147997754378852
0.6104.2167223684710.161182946792375
0.61104.2786292700710.1757171885268
0.62104.3460908983790.190173106533703
0.63104.4186153157540.201906734070899
0.64104.4947007262390.207740321077876
0.65104.5720354744550.206382476490143
0.66104.6481369812140.198641865146137
0.67104.7209973868570.18659871089082
0.68104.7893338305610.172147031747485
0.69104.8524837673380.157033488793849
0.7104.9103248549530.141876332611156
0.71104.9634314164090.129337930397773
0.72105.0132247181540.121272745352821
0.73105.0617199215180.119051006250834
0.74105.1108604363740.121323214065416
0.75105.1619735767530.125657167701348
0.76105.2160301490930.131433206266047
0.77105.2750241750410.143499845397657
0.78105.3442108246160.171089136771813
0.79105.4343649716080.228889910593938
0.8105.5625332924310.328774787219572
0.81105.749076268040.469522865601895
0.82106.0093771421180.627747352700197
0.83106.342247762090.756089085500509
0.84106.7229322096110.805734810631851
0.85107.1106926668560.761797159098711
0.86107.473728912660.670725113887597
0.87107.8229728932770.642709095021239
0.88108.2420176264860.832580182836355
0.89108.8950832656431.35309111876192
0.9109.9704485554322.12223914598509
0.91111.5272475758382.76149450596203
0.92113.372760663932.85394895388375
0.93115.286650372312.65708877419876
0.94117.6621918705323.5229763506516
0.95121.5656304499975.7336233244131
0.96126.7732223695756.00358291962068
0.97130.6594556360092.89613537366462
0.98131.9467207243180.466922931473531
0.99132.0873071686780.013106462593432

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 86.9349209356407 & 1.45472946176982 \tabularnewline
0.02 & 89.3942777980901 & 1.4473484350202 \tabularnewline
0.03 & 91.4089423892957 & 2.0976044925242 \tabularnewline
0.04 & 93.8119408099004 & 2.74648123887635 \tabularnewline
0.05 & 96.0848819124081 & 2.1367087049371 \tabularnewline
0.06 & 97.557333088966 & 1.27469581725475 \tabularnewline
0.07 & 98.3944739908793 & 0.834118754546849 \tabularnewline
0.08 & 98.9278169991431 & 0.625669523229158 \tabularnewline
0.09 & 99.3071180882315 & 0.486286867290795 \tabularnewline
0.1 & 99.5913271012463 & 0.397722551519089 \tabularnewline
0.11 & 99.8189730713836 & 0.350750094316383 \tabularnewline
0.12 & 100.012858807178 & 0.317795962489019 \tabularnewline
0.13 & 100.180192967512 & 0.281598529561943 \tabularnewline
0.14 & 100.324161526866 & 0.252959337862687 \tabularnewline
0.15 & 100.455748414696 & 0.257401070446799 \tabularnewline
0.16 & 100.594535724277 & 0.308055626529018 \tabularnewline
0.17 & 100.758639496678 & 0.385631120126096 \tabularnewline
0.18 & 100.953767877898 & 0.455325143151624 \tabularnewline
0.19 & 101.171248226596 & 0.492684301588976 \tabularnewline
0.2 & 101.395549501972 & 0.495599872857738 \tabularnewline
0.21 & 101.613156002401 & 0.475465640236539 \tabularnewline
0.22 & 101.815536408757 & 0.441586203766431 \tabularnewline
0.23 & 101.996973043912 & 0.393552912174249 \tabularnewline
0.24 & 102.152867517496 & 0.334107182399652 \tabularnewline
0.25 & 102.281209645768 & 0.27245022478615 \tabularnewline
0.26 & 102.384745557979 & 0.222623275274888 \tabularnewline
0.27 & 102.470551367683 & 0.193310384272452 \tabularnewline
0.28 & 102.546869534365 & 0.183178910950576 \tabularnewline
0.29 & 102.619676935987 & 0.182321975496624 \tabularnewline
0.3 & 102.691183395631 & 0.181184402756859 \tabularnewline
0.31 & 102.760568482002 & 0.174799877003256 \tabularnewline
0.32 & 102.825833336176 & 0.162540316518357 \tabularnewline
0.33 & 102.885443135198 & 0.147358508204057 \tabularnewline
0.34 & 102.939051408259 & 0.133154961396559 \tabularnewline
0.35 & 102.987345780055 & 0.121493482262096 \tabularnewline
0.36 & 103.031489670913 & 0.112976120584343 \tabularnewline
0.37 & 103.072644718421 & 0.107325256653829 \tabularnewline
0.38 & 103.111799104437 & 0.103567167292639 \tabularnewline
0.39 & 103.149848662041 & 0.102174322851454 \tabularnewline
0.4 & 103.187744431674 & 0.104101444912539 \tabularnewline
0.41 & 103.226547660623 & 0.108680381218804 \tabularnewline
0.42 & 103.267347880863 & 0.116045156585375 \tabularnewline
0.43 & 103.311109252375 & 0.125922610015097 \tabularnewline
0.44 & 103.358541782954 & 0.137267223826852 \tabularnewline
0.45 & 103.410034616454 & 0.149198558192546 \tabularnewline
0.46 & 103.465607737188 & 0.160601963745969 \tabularnewline
0.47 & 103.524829519958 & 0.170089638867108 \tabularnewline
0.48 & 103.586725121398 & 0.176027440995815 \tabularnewline
0.49 & 103.64977848797 & 0.176952472203592 \tabularnewline
0.5 & 103.712119638721 & 0.172124568570839 \tabularnewline
0.51 & 103.771894423519 & 0.162656829779701 \tabularnewline
0.52 & 103.827714719313 & 0.149992948159917 \tabularnewline
0.53 & 103.879040750009 & 0.136822538331401 \tabularnewline
0.54 & 103.926356057488 & 0.126712328597548 \tabularnewline
0.55 & 103.971050696365 & 0.121377466801991 \tabularnewline
0.56 & 104.015034489336 & 0.12207457600109 \tabularnewline
0.57 & 104.060236758592 & 0.127548491535481 \tabularnewline
0.58 & 104.108227298261 & 0.136521308394415 \tabularnewline
0.59 & 104.160122136316 & 0.147997754378852 \tabularnewline
0.6 & 104.216722368471 & 0.161182946792375 \tabularnewline
0.61 & 104.278629270071 & 0.1757171885268 \tabularnewline
0.62 & 104.346090898379 & 0.190173106533703 \tabularnewline
0.63 & 104.418615315754 & 0.201906734070899 \tabularnewline
0.64 & 104.494700726239 & 0.207740321077876 \tabularnewline
0.65 & 104.572035474455 & 0.206382476490143 \tabularnewline
0.66 & 104.648136981214 & 0.198641865146137 \tabularnewline
0.67 & 104.720997386857 & 0.18659871089082 \tabularnewline
0.68 & 104.789333830561 & 0.172147031747485 \tabularnewline
0.69 & 104.852483767338 & 0.157033488793849 \tabularnewline
0.7 & 104.910324854953 & 0.141876332611156 \tabularnewline
0.71 & 104.963431416409 & 0.129337930397773 \tabularnewline
0.72 & 105.013224718154 & 0.121272745352821 \tabularnewline
0.73 & 105.061719921518 & 0.119051006250834 \tabularnewline
0.74 & 105.110860436374 & 0.121323214065416 \tabularnewline
0.75 & 105.161973576753 & 0.125657167701348 \tabularnewline
0.76 & 105.216030149093 & 0.131433206266047 \tabularnewline
0.77 & 105.275024175041 & 0.143499845397657 \tabularnewline
0.78 & 105.344210824616 & 0.171089136771813 \tabularnewline
0.79 & 105.434364971608 & 0.228889910593938 \tabularnewline
0.8 & 105.562533292431 & 0.328774787219572 \tabularnewline
0.81 & 105.74907626804 & 0.469522865601895 \tabularnewline
0.82 & 106.009377142118 & 0.627747352700197 \tabularnewline
0.83 & 106.34224776209 & 0.756089085500509 \tabularnewline
0.84 & 106.722932209611 & 0.805734810631851 \tabularnewline
0.85 & 107.110692666856 & 0.761797159098711 \tabularnewline
0.86 & 107.47372891266 & 0.670725113887597 \tabularnewline
0.87 & 107.822972893277 & 0.642709095021239 \tabularnewline
0.88 & 108.242017626486 & 0.832580182836355 \tabularnewline
0.89 & 108.895083265643 & 1.35309111876192 \tabularnewline
0.9 & 109.970448555432 & 2.12223914598509 \tabularnewline
0.91 & 111.527247575838 & 2.76149450596203 \tabularnewline
0.92 & 113.37276066393 & 2.85394895388375 \tabularnewline
0.93 & 115.28665037231 & 2.65708877419876 \tabularnewline
0.94 & 117.662191870532 & 3.5229763506516 \tabularnewline
0.95 & 121.565630449997 & 5.7336233244131 \tabularnewline
0.96 & 126.773222369575 & 6.00358291962068 \tabularnewline
0.97 & 130.659455636009 & 2.89613537366462 \tabularnewline
0.98 & 131.946720724318 & 0.466922931473531 \tabularnewline
0.99 & 132.087307168678 & 0.013106462593432 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]86.9349209356407[/C][C]1.45472946176982[/C][/ROW]
[ROW][C]0.02[/C][C]89.3942777980901[/C][C]1.4473484350202[/C][/ROW]
[ROW][C]0.03[/C][C]91.4089423892957[/C][C]2.0976044925242[/C][/ROW]
[ROW][C]0.04[/C][C]93.8119408099004[/C][C]2.74648123887635[/C][/ROW]
[ROW][C]0.05[/C][C]96.0848819124081[/C][C]2.1367087049371[/C][/ROW]
[ROW][C]0.06[/C][C]97.557333088966[/C][C]1.27469581725475[/C][/ROW]
[ROW][C]0.07[/C][C]98.3944739908793[/C][C]0.834118754546849[/C][/ROW]
[ROW][C]0.08[/C][C]98.9278169991431[/C][C]0.625669523229158[/C][/ROW]
[ROW][C]0.09[/C][C]99.3071180882315[/C][C]0.486286867290795[/C][/ROW]
[ROW][C]0.1[/C][C]99.5913271012463[/C][C]0.397722551519089[/C][/ROW]
[ROW][C]0.11[/C][C]99.8189730713836[/C][C]0.350750094316383[/C][/ROW]
[ROW][C]0.12[/C][C]100.012858807178[/C][C]0.317795962489019[/C][/ROW]
[ROW][C]0.13[/C][C]100.180192967512[/C][C]0.281598529561943[/C][/ROW]
[ROW][C]0.14[/C][C]100.324161526866[/C][C]0.252959337862687[/C][/ROW]
[ROW][C]0.15[/C][C]100.455748414696[/C][C]0.257401070446799[/C][/ROW]
[ROW][C]0.16[/C][C]100.594535724277[/C][C]0.308055626529018[/C][/ROW]
[ROW][C]0.17[/C][C]100.758639496678[/C][C]0.385631120126096[/C][/ROW]
[ROW][C]0.18[/C][C]100.953767877898[/C][C]0.455325143151624[/C][/ROW]
[ROW][C]0.19[/C][C]101.171248226596[/C][C]0.492684301588976[/C][/ROW]
[ROW][C]0.2[/C][C]101.395549501972[/C][C]0.495599872857738[/C][/ROW]
[ROW][C]0.21[/C][C]101.613156002401[/C][C]0.475465640236539[/C][/ROW]
[ROW][C]0.22[/C][C]101.815536408757[/C][C]0.441586203766431[/C][/ROW]
[ROW][C]0.23[/C][C]101.996973043912[/C][C]0.393552912174249[/C][/ROW]
[ROW][C]0.24[/C][C]102.152867517496[/C][C]0.334107182399652[/C][/ROW]
[ROW][C]0.25[/C][C]102.281209645768[/C][C]0.27245022478615[/C][/ROW]
[ROW][C]0.26[/C][C]102.384745557979[/C][C]0.222623275274888[/C][/ROW]
[ROW][C]0.27[/C][C]102.470551367683[/C][C]0.193310384272452[/C][/ROW]
[ROW][C]0.28[/C][C]102.546869534365[/C][C]0.183178910950576[/C][/ROW]
[ROW][C]0.29[/C][C]102.619676935987[/C][C]0.182321975496624[/C][/ROW]
[ROW][C]0.3[/C][C]102.691183395631[/C][C]0.181184402756859[/C][/ROW]
[ROW][C]0.31[/C][C]102.760568482002[/C][C]0.174799877003256[/C][/ROW]
[ROW][C]0.32[/C][C]102.825833336176[/C][C]0.162540316518357[/C][/ROW]
[ROW][C]0.33[/C][C]102.885443135198[/C][C]0.147358508204057[/C][/ROW]
[ROW][C]0.34[/C][C]102.939051408259[/C][C]0.133154961396559[/C][/ROW]
[ROW][C]0.35[/C][C]102.987345780055[/C][C]0.121493482262096[/C][/ROW]
[ROW][C]0.36[/C][C]103.031489670913[/C][C]0.112976120584343[/C][/ROW]
[ROW][C]0.37[/C][C]103.072644718421[/C][C]0.107325256653829[/C][/ROW]
[ROW][C]0.38[/C][C]103.111799104437[/C][C]0.103567167292639[/C][/ROW]
[ROW][C]0.39[/C][C]103.149848662041[/C][C]0.102174322851454[/C][/ROW]
[ROW][C]0.4[/C][C]103.187744431674[/C][C]0.104101444912539[/C][/ROW]
[ROW][C]0.41[/C][C]103.226547660623[/C][C]0.108680381218804[/C][/ROW]
[ROW][C]0.42[/C][C]103.267347880863[/C][C]0.116045156585375[/C][/ROW]
[ROW][C]0.43[/C][C]103.311109252375[/C][C]0.125922610015097[/C][/ROW]
[ROW][C]0.44[/C][C]103.358541782954[/C][C]0.137267223826852[/C][/ROW]
[ROW][C]0.45[/C][C]103.410034616454[/C][C]0.149198558192546[/C][/ROW]
[ROW][C]0.46[/C][C]103.465607737188[/C][C]0.160601963745969[/C][/ROW]
[ROW][C]0.47[/C][C]103.524829519958[/C][C]0.170089638867108[/C][/ROW]
[ROW][C]0.48[/C][C]103.586725121398[/C][C]0.176027440995815[/C][/ROW]
[ROW][C]0.49[/C][C]103.64977848797[/C][C]0.176952472203592[/C][/ROW]
[ROW][C]0.5[/C][C]103.712119638721[/C][C]0.172124568570839[/C][/ROW]
[ROW][C]0.51[/C][C]103.771894423519[/C][C]0.162656829779701[/C][/ROW]
[ROW][C]0.52[/C][C]103.827714719313[/C][C]0.149992948159917[/C][/ROW]
[ROW][C]0.53[/C][C]103.879040750009[/C][C]0.136822538331401[/C][/ROW]
[ROW][C]0.54[/C][C]103.926356057488[/C][C]0.126712328597548[/C][/ROW]
[ROW][C]0.55[/C][C]103.971050696365[/C][C]0.121377466801991[/C][/ROW]
[ROW][C]0.56[/C][C]104.015034489336[/C][C]0.12207457600109[/C][/ROW]
[ROW][C]0.57[/C][C]104.060236758592[/C][C]0.127548491535481[/C][/ROW]
[ROW][C]0.58[/C][C]104.108227298261[/C][C]0.136521308394415[/C][/ROW]
[ROW][C]0.59[/C][C]104.160122136316[/C][C]0.147997754378852[/C][/ROW]
[ROW][C]0.6[/C][C]104.216722368471[/C][C]0.161182946792375[/C][/ROW]
[ROW][C]0.61[/C][C]104.278629270071[/C][C]0.1757171885268[/C][/ROW]
[ROW][C]0.62[/C][C]104.346090898379[/C][C]0.190173106533703[/C][/ROW]
[ROW][C]0.63[/C][C]104.418615315754[/C][C]0.201906734070899[/C][/ROW]
[ROW][C]0.64[/C][C]104.494700726239[/C][C]0.207740321077876[/C][/ROW]
[ROW][C]0.65[/C][C]104.572035474455[/C][C]0.206382476490143[/C][/ROW]
[ROW][C]0.66[/C][C]104.648136981214[/C][C]0.198641865146137[/C][/ROW]
[ROW][C]0.67[/C][C]104.720997386857[/C][C]0.18659871089082[/C][/ROW]
[ROW][C]0.68[/C][C]104.789333830561[/C][C]0.172147031747485[/C][/ROW]
[ROW][C]0.69[/C][C]104.852483767338[/C][C]0.157033488793849[/C][/ROW]
[ROW][C]0.7[/C][C]104.910324854953[/C][C]0.141876332611156[/C][/ROW]
[ROW][C]0.71[/C][C]104.963431416409[/C][C]0.129337930397773[/C][/ROW]
[ROW][C]0.72[/C][C]105.013224718154[/C][C]0.121272745352821[/C][/ROW]
[ROW][C]0.73[/C][C]105.061719921518[/C][C]0.119051006250834[/C][/ROW]
[ROW][C]0.74[/C][C]105.110860436374[/C][C]0.121323214065416[/C][/ROW]
[ROW][C]0.75[/C][C]105.161973576753[/C][C]0.125657167701348[/C][/ROW]
[ROW][C]0.76[/C][C]105.216030149093[/C][C]0.131433206266047[/C][/ROW]
[ROW][C]0.77[/C][C]105.275024175041[/C][C]0.143499845397657[/C][/ROW]
[ROW][C]0.78[/C][C]105.344210824616[/C][C]0.171089136771813[/C][/ROW]
[ROW][C]0.79[/C][C]105.434364971608[/C][C]0.228889910593938[/C][/ROW]
[ROW][C]0.8[/C][C]105.562533292431[/C][C]0.328774787219572[/C][/ROW]
[ROW][C]0.81[/C][C]105.74907626804[/C][C]0.469522865601895[/C][/ROW]
[ROW][C]0.82[/C][C]106.009377142118[/C][C]0.627747352700197[/C][/ROW]
[ROW][C]0.83[/C][C]106.34224776209[/C][C]0.756089085500509[/C][/ROW]
[ROW][C]0.84[/C][C]106.722932209611[/C][C]0.805734810631851[/C][/ROW]
[ROW][C]0.85[/C][C]107.110692666856[/C][C]0.761797159098711[/C][/ROW]
[ROW][C]0.86[/C][C]107.47372891266[/C][C]0.670725113887597[/C][/ROW]
[ROW][C]0.87[/C][C]107.822972893277[/C][C]0.642709095021239[/C][/ROW]
[ROW][C]0.88[/C][C]108.242017626486[/C][C]0.832580182836355[/C][/ROW]
[ROW][C]0.89[/C][C]108.895083265643[/C][C]1.35309111876192[/C][/ROW]
[ROW][C]0.9[/C][C]109.970448555432[/C][C]2.12223914598509[/C][/ROW]
[ROW][C]0.91[/C][C]111.527247575838[/C][C]2.76149450596203[/C][/ROW]
[ROW][C]0.92[/C][C]113.37276066393[/C][C]2.85394895388375[/C][/ROW]
[ROW][C]0.93[/C][C]115.28665037231[/C][C]2.65708877419876[/C][/ROW]
[ROW][C]0.94[/C][C]117.662191870532[/C][C]3.5229763506516[/C][/ROW]
[ROW][C]0.95[/C][C]121.565630449997[/C][C]5.7336233244131[/C][/ROW]
[ROW][C]0.96[/C][C]126.773222369575[/C][C]6.00358291962068[/C][/ROW]
[ROW][C]0.97[/C][C]130.659455636009[/C][C]2.89613537366462[/C][/ROW]
[ROW][C]0.98[/C][C]131.946720724318[/C][C]0.466922931473531[/C][/ROW]
[ROW][C]0.99[/C][C]132.087307168678[/C][C]0.013106462593432[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.93492093564071.45472946176982
0.0289.39427779809011.4473484350202
0.0391.40894238929572.0976044925242
0.0493.81194080990042.74648123887635
0.0596.08488191240812.1367087049371
0.0697.5573330889661.27469581725475
0.0798.39447399087930.834118754546849
0.0898.92781699914310.625669523229158
0.0999.30711808823150.486286867290795
0.199.59132710124630.397722551519089
0.1199.81897307138360.350750094316383
0.12100.0128588071780.317795962489019
0.13100.1801929675120.281598529561943
0.14100.3241615268660.252959337862687
0.15100.4557484146960.257401070446799
0.16100.5945357242770.308055626529018
0.17100.7586394966780.385631120126096
0.18100.9537678778980.455325143151624
0.19101.1712482265960.492684301588976
0.2101.3955495019720.495599872857738
0.21101.6131560024010.475465640236539
0.22101.8155364087570.441586203766431
0.23101.9969730439120.393552912174249
0.24102.1528675174960.334107182399652
0.25102.2812096457680.27245022478615
0.26102.3847455579790.222623275274888
0.27102.4705513676830.193310384272452
0.28102.5468695343650.183178910950576
0.29102.6196769359870.182321975496624
0.3102.6911833956310.181184402756859
0.31102.7605684820020.174799877003256
0.32102.8258333361760.162540316518357
0.33102.8854431351980.147358508204057
0.34102.9390514082590.133154961396559
0.35102.9873457800550.121493482262096
0.36103.0314896709130.112976120584343
0.37103.0726447184210.107325256653829
0.38103.1117991044370.103567167292639
0.39103.1498486620410.102174322851454
0.4103.1877444316740.104101444912539
0.41103.2265476606230.108680381218804
0.42103.2673478808630.116045156585375
0.43103.3111092523750.125922610015097
0.44103.3585417829540.137267223826852
0.45103.4100346164540.149198558192546
0.46103.4656077371880.160601963745969
0.47103.5248295199580.170089638867108
0.48103.5867251213980.176027440995815
0.49103.649778487970.176952472203592
0.5103.7121196387210.172124568570839
0.51103.7718944235190.162656829779701
0.52103.8277147193130.149992948159917
0.53103.8790407500090.136822538331401
0.54103.9263560574880.126712328597548
0.55103.9710506963650.121377466801991
0.56104.0150344893360.12207457600109
0.57104.0602367585920.127548491535481
0.58104.1082272982610.136521308394415
0.59104.1601221363160.147997754378852
0.6104.2167223684710.161182946792375
0.61104.2786292700710.1757171885268
0.62104.3460908983790.190173106533703
0.63104.4186153157540.201906734070899
0.64104.4947007262390.207740321077876
0.65104.5720354744550.206382476490143
0.66104.6481369812140.198641865146137
0.67104.7209973868570.18659871089082
0.68104.7893338305610.172147031747485
0.69104.8524837673380.157033488793849
0.7104.9103248549530.141876332611156
0.71104.9634314164090.129337930397773
0.72105.0132247181540.121272745352821
0.73105.0617199215180.119051006250834
0.74105.1108604363740.121323214065416
0.75105.1619735767530.125657167701348
0.76105.2160301490930.131433206266047
0.77105.2750241750410.143499845397657
0.78105.3442108246160.171089136771813
0.79105.4343649716080.228889910593938
0.8105.5625332924310.328774787219572
0.81105.749076268040.469522865601895
0.82106.0093771421180.627747352700197
0.83106.342247762090.756089085500509
0.84106.7229322096110.805734810631851
0.85107.1106926668560.761797159098711
0.86107.473728912660.670725113887597
0.87107.8229728932770.642709095021239
0.88108.2420176264860.832580182836355
0.89108.8950832656431.35309111876192
0.9109.9704485554322.12223914598509
0.91111.5272475758382.76149450596203
0.92113.372760663932.85394895388375
0.93115.286650372312.65708877419876
0.94117.6621918705323.5229763506516
0.95121.5656304499975.7336233244131
0.96126.7732223695756.00358291962068
0.97130.6594556360092.89613537366462
0.98131.9467207243180.466922931473531
0.99132.0873071686780.013106462593432



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')