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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 03 Oct 2013 17:23:58 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Oct/03/t1380835446iv4r9ouvc91h2v7.htm/, Retrieved Thu, 02 May 2024 03:14:24 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=213039, Retrieved Thu, 02 May 2024 03:14:24 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Quartiles] [] [2013-10-03 20:39:34] [d2a97e7888fceb17f0b9d57dc11e6fdc]
- RMP     [Harrell-Davis Quantiles] [] [2013-10-03 21:23:58] [df14db71c8d078cdcecf2ce9850db3a5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
106,68
109,73
108,06
111,33
105,66
103,65
100,34
100,56
102,67
101,5
102,35
104,98
106,31
103,73
106,62
108,54
105,12
105,29
104,62
104,34
108,23
107,6
106,87
107,96
108,34
109,04
106,95
105,59
108,08
108,48
106,84
105,6
106,9
106,84
106,81
106,98
107,53
107,37
106,98
108,94
106,38
109,02
106,53
105,02
109,7
108,39
110,18
109,54
109,1
110,85
112,23
110,58
110,77
108,08
108,05
108,87
109,61
111,27
107,61
110,98
106,63
106,83
108,77
106,12
106,8
106,34
105,16
107,97
106,76
108,78
105,58
109,22
105,67
109,04
106,59
109,66
108,05
109,91
107,63
107,15
103,8
103,43
103,59
107,63

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'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213039&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213039&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213039&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01100.5374413978020.477963788014324
0.02100.9329165144720.790174056608131
0.03101.4355334822280.93682439361704
0.04101.9484565983280.933105827141471
0.05102.4115405989450.854582402914785
0.06102.8027691285150.753039596450154
0.07103.1242210951050.657183392360567
0.08103.3891903422420.586847581628777
0.09103.6143607130470.553049862264196
0.1103.8152576841140.552808145524536
0.11104.0034630178750.570574955093203
0.12104.185401128230.588129196252068
0.13104.362739463020.593049557305756
0.14104.533967669480.581166815079262
0.15104.696359234110.55462164482045
0.16104.8475868843590.519633492145136
0.17104.9866166121250.483319267427788
0.18105.1138816264780.451401766380294
0.19105.2309674412550.427684978672627
0.2105.3400913389340.41309928775536
0.21105.443591949220.406917114098074
0.22105.5435389946150.40745488664693
0.23105.6414882693190.412330554694231
0.24105.7383640849980.418133010969199
0.25105.8344428354250.422524673504107
0.26105.9294173156540.422798654158418
0.27106.0225257635550.417309418569398
0.28106.1127264565770.405153415040387
0.29106.1988914036950.38685304359298
0.3106.2799880427820.363198495626818
0.31106.3552207361570.336010855638391
0.32106.4241145186280.306900877334726
0.33106.4865382916010.2777584559479
0.34106.5426782887590.250068919291716
0.35106.5929810604020.224832365021798
0.36106.6380868425370.202802605282584
0.37106.6787699283550.184640905406114
0.38106.7158950539650.170429138137681
0.39106.7503907098540.160791025603177
0.4106.7832339631550.156094014509456
0.41106.8154380565730.156557426860216
0.42106.848033945570.162662149757496
0.43106.8820394957790.173976784994763
0.44106.9184143095330.190090554600421
0.45106.9580029489360.210548482896639
0.46107.0014735670140.233531606006946
0.47107.049261702740.258060607793834
0.48107.1015295827970.282315536721118
0.49107.1581494716640.304742151814982
0.5107.2187157316680.323940867022816
0.51107.2825851605280.338837506596285
0.52107.3489401286140.348839943108933
0.53107.416865366470.353622850713048
0.54107.4854279081980.353441833609631
0.55107.5537508947250.348910016822593
0.56107.6210750400460.340727213223197
0.57107.6868052771660.329800987655594
0.58107.7505430011750.317217011938179
0.59107.8121054379510.304038052436436
0.6107.8715328820540.291458239542181
0.61107.9290826743740.280475455681113
0.62107.9852071832640.272095139954811
0.63108.0405129898080.2671954780144
0.64108.0957005686830.266143444206614
0.65108.1514876555350.268971599470957
0.66108.2085240433850.274986003206865
0.67108.2673092777630.283048069136668
0.68108.3281264174640.291870006317069
0.69108.3910041678820.300006249447727
0.7108.4557164761180.306070621456171
0.71108.5218237413160.309171620211538
0.72108.5887538035450.308767929272409
0.73108.6559142548450.304910517870034
0.74108.7228206539550.298311464062884
0.75108.78921855160.290361917078459
0.76108.8551724321710.28270969777599
0.77108.9210945791810.277341968387622
0.78108.9876949814120.275724259171771
0.79109.0558521782840.278429658271227
0.8109.1264332260110.285033943985585
0.81109.2001215765190.293807038434268
0.82109.2773310617310.302604076556081
0.83109.3582758502850.309751214927877
0.84109.4432183057740.315113631775433
0.85109.5328318377670.320499680978386
0.86109.6285193226530.329637422078531
0.87109.7324672148970.346361713016932
0.88109.847248191480.372218593554073
0.89109.9749492177330.403951319754835
0.9110.1160770295850.433414603703761
0.91110.2687662260330.450360768879468
0.92110.4288892906130.446809339526928
0.93110.5913780194110.421203818081131
0.94110.7525603048970.380608533236822
0.95110.9133409142850.337892096264062
0.96111.0842717978770.307135563097061
0.97111.2928497463780.313837622559894
0.98111.5794067840850.422030376174261
0.99111.9410199357080.660735084185111

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 100.537441397802 & 0.477963788014324 \tabularnewline
0.02 & 100.932916514472 & 0.790174056608131 \tabularnewline
0.03 & 101.435533482228 & 0.93682439361704 \tabularnewline
0.04 & 101.948456598328 & 0.933105827141471 \tabularnewline
0.05 & 102.411540598945 & 0.854582402914785 \tabularnewline
0.06 & 102.802769128515 & 0.753039596450154 \tabularnewline
0.07 & 103.124221095105 & 0.657183392360567 \tabularnewline
0.08 & 103.389190342242 & 0.586847581628777 \tabularnewline
0.09 & 103.614360713047 & 0.553049862264196 \tabularnewline
0.1 & 103.815257684114 & 0.552808145524536 \tabularnewline
0.11 & 104.003463017875 & 0.570574955093203 \tabularnewline
0.12 & 104.18540112823 & 0.588129196252068 \tabularnewline
0.13 & 104.36273946302 & 0.593049557305756 \tabularnewline
0.14 & 104.53396766948 & 0.581166815079262 \tabularnewline
0.15 & 104.69635923411 & 0.55462164482045 \tabularnewline
0.16 & 104.847586884359 & 0.519633492145136 \tabularnewline
0.17 & 104.986616612125 & 0.483319267427788 \tabularnewline
0.18 & 105.113881626478 & 0.451401766380294 \tabularnewline
0.19 & 105.230967441255 & 0.427684978672627 \tabularnewline
0.2 & 105.340091338934 & 0.41309928775536 \tabularnewline
0.21 & 105.44359194922 & 0.406917114098074 \tabularnewline
0.22 & 105.543538994615 & 0.40745488664693 \tabularnewline
0.23 & 105.641488269319 & 0.412330554694231 \tabularnewline
0.24 & 105.738364084998 & 0.418133010969199 \tabularnewline
0.25 & 105.834442835425 & 0.422524673504107 \tabularnewline
0.26 & 105.929417315654 & 0.422798654158418 \tabularnewline
0.27 & 106.022525763555 & 0.417309418569398 \tabularnewline
0.28 & 106.112726456577 & 0.405153415040387 \tabularnewline
0.29 & 106.198891403695 & 0.38685304359298 \tabularnewline
0.3 & 106.279988042782 & 0.363198495626818 \tabularnewline
0.31 & 106.355220736157 & 0.336010855638391 \tabularnewline
0.32 & 106.424114518628 & 0.306900877334726 \tabularnewline
0.33 & 106.486538291601 & 0.2777584559479 \tabularnewline
0.34 & 106.542678288759 & 0.250068919291716 \tabularnewline
0.35 & 106.592981060402 & 0.224832365021798 \tabularnewline
0.36 & 106.638086842537 & 0.202802605282584 \tabularnewline
0.37 & 106.678769928355 & 0.184640905406114 \tabularnewline
0.38 & 106.715895053965 & 0.170429138137681 \tabularnewline
0.39 & 106.750390709854 & 0.160791025603177 \tabularnewline
0.4 & 106.783233963155 & 0.156094014509456 \tabularnewline
0.41 & 106.815438056573 & 0.156557426860216 \tabularnewline
0.42 & 106.84803394557 & 0.162662149757496 \tabularnewline
0.43 & 106.882039495779 & 0.173976784994763 \tabularnewline
0.44 & 106.918414309533 & 0.190090554600421 \tabularnewline
0.45 & 106.958002948936 & 0.210548482896639 \tabularnewline
0.46 & 107.001473567014 & 0.233531606006946 \tabularnewline
0.47 & 107.04926170274 & 0.258060607793834 \tabularnewline
0.48 & 107.101529582797 & 0.282315536721118 \tabularnewline
0.49 & 107.158149471664 & 0.304742151814982 \tabularnewline
0.5 & 107.218715731668 & 0.323940867022816 \tabularnewline
0.51 & 107.282585160528 & 0.338837506596285 \tabularnewline
0.52 & 107.348940128614 & 0.348839943108933 \tabularnewline
0.53 & 107.41686536647 & 0.353622850713048 \tabularnewline
0.54 & 107.485427908198 & 0.353441833609631 \tabularnewline
0.55 & 107.553750894725 & 0.348910016822593 \tabularnewline
0.56 & 107.621075040046 & 0.340727213223197 \tabularnewline
0.57 & 107.686805277166 & 0.329800987655594 \tabularnewline
0.58 & 107.750543001175 & 0.317217011938179 \tabularnewline
0.59 & 107.812105437951 & 0.304038052436436 \tabularnewline
0.6 & 107.871532882054 & 0.291458239542181 \tabularnewline
0.61 & 107.929082674374 & 0.280475455681113 \tabularnewline
0.62 & 107.985207183264 & 0.272095139954811 \tabularnewline
0.63 & 108.040512989808 & 0.2671954780144 \tabularnewline
0.64 & 108.095700568683 & 0.266143444206614 \tabularnewline
0.65 & 108.151487655535 & 0.268971599470957 \tabularnewline
0.66 & 108.208524043385 & 0.274986003206865 \tabularnewline
0.67 & 108.267309277763 & 0.283048069136668 \tabularnewline
0.68 & 108.328126417464 & 0.291870006317069 \tabularnewline
0.69 & 108.391004167882 & 0.300006249447727 \tabularnewline
0.7 & 108.455716476118 & 0.306070621456171 \tabularnewline
0.71 & 108.521823741316 & 0.309171620211538 \tabularnewline
0.72 & 108.588753803545 & 0.308767929272409 \tabularnewline
0.73 & 108.655914254845 & 0.304910517870034 \tabularnewline
0.74 & 108.722820653955 & 0.298311464062884 \tabularnewline
0.75 & 108.7892185516 & 0.290361917078459 \tabularnewline
0.76 & 108.855172432171 & 0.28270969777599 \tabularnewline
0.77 & 108.921094579181 & 0.277341968387622 \tabularnewline
0.78 & 108.987694981412 & 0.275724259171771 \tabularnewline
0.79 & 109.055852178284 & 0.278429658271227 \tabularnewline
0.8 & 109.126433226011 & 0.285033943985585 \tabularnewline
0.81 & 109.200121576519 & 0.293807038434268 \tabularnewline
0.82 & 109.277331061731 & 0.302604076556081 \tabularnewline
0.83 & 109.358275850285 & 0.309751214927877 \tabularnewline
0.84 & 109.443218305774 & 0.315113631775433 \tabularnewline
0.85 & 109.532831837767 & 0.320499680978386 \tabularnewline
0.86 & 109.628519322653 & 0.329637422078531 \tabularnewline
0.87 & 109.732467214897 & 0.346361713016932 \tabularnewline
0.88 & 109.84724819148 & 0.372218593554073 \tabularnewline
0.89 & 109.974949217733 & 0.403951319754835 \tabularnewline
0.9 & 110.116077029585 & 0.433414603703761 \tabularnewline
0.91 & 110.268766226033 & 0.450360768879468 \tabularnewline
0.92 & 110.428889290613 & 0.446809339526928 \tabularnewline
0.93 & 110.591378019411 & 0.421203818081131 \tabularnewline
0.94 & 110.752560304897 & 0.380608533236822 \tabularnewline
0.95 & 110.913340914285 & 0.337892096264062 \tabularnewline
0.96 & 111.084271797877 & 0.307135563097061 \tabularnewline
0.97 & 111.292849746378 & 0.313837622559894 \tabularnewline
0.98 & 111.579406784085 & 0.422030376174261 \tabularnewline
0.99 & 111.941019935708 & 0.660735084185111 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=213039&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]100.537441397802[/C][C]0.477963788014324[/C][/ROW]
[ROW][C]0.02[/C][C]100.932916514472[/C][C]0.790174056608131[/C][/ROW]
[ROW][C]0.03[/C][C]101.435533482228[/C][C]0.93682439361704[/C][/ROW]
[ROW][C]0.04[/C][C]101.948456598328[/C][C]0.933105827141471[/C][/ROW]
[ROW][C]0.05[/C][C]102.411540598945[/C][C]0.854582402914785[/C][/ROW]
[ROW][C]0.06[/C][C]102.802769128515[/C][C]0.753039596450154[/C][/ROW]
[ROW][C]0.07[/C][C]103.124221095105[/C][C]0.657183392360567[/C][/ROW]
[ROW][C]0.08[/C][C]103.389190342242[/C][C]0.586847581628777[/C][/ROW]
[ROW][C]0.09[/C][C]103.614360713047[/C][C]0.553049862264196[/C][/ROW]
[ROW][C]0.1[/C][C]103.815257684114[/C][C]0.552808145524536[/C][/ROW]
[ROW][C]0.11[/C][C]104.003463017875[/C][C]0.570574955093203[/C][/ROW]
[ROW][C]0.12[/C][C]104.18540112823[/C][C]0.588129196252068[/C][/ROW]
[ROW][C]0.13[/C][C]104.36273946302[/C][C]0.593049557305756[/C][/ROW]
[ROW][C]0.14[/C][C]104.53396766948[/C][C]0.581166815079262[/C][/ROW]
[ROW][C]0.15[/C][C]104.69635923411[/C][C]0.55462164482045[/C][/ROW]
[ROW][C]0.16[/C][C]104.847586884359[/C][C]0.519633492145136[/C][/ROW]
[ROW][C]0.17[/C][C]104.986616612125[/C][C]0.483319267427788[/C][/ROW]
[ROW][C]0.18[/C][C]105.113881626478[/C][C]0.451401766380294[/C][/ROW]
[ROW][C]0.19[/C][C]105.230967441255[/C][C]0.427684978672627[/C][/ROW]
[ROW][C]0.2[/C][C]105.340091338934[/C][C]0.41309928775536[/C][/ROW]
[ROW][C]0.21[/C][C]105.44359194922[/C][C]0.406917114098074[/C][/ROW]
[ROW][C]0.22[/C][C]105.543538994615[/C][C]0.40745488664693[/C][/ROW]
[ROW][C]0.23[/C][C]105.641488269319[/C][C]0.412330554694231[/C][/ROW]
[ROW][C]0.24[/C][C]105.738364084998[/C][C]0.418133010969199[/C][/ROW]
[ROW][C]0.25[/C][C]105.834442835425[/C][C]0.422524673504107[/C][/ROW]
[ROW][C]0.26[/C][C]105.929417315654[/C][C]0.422798654158418[/C][/ROW]
[ROW][C]0.27[/C][C]106.022525763555[/C][C]0.417309418569398[/C][/ROW]
[ROW][C]0.28[/C][C]106.112726456577[/C][C]0.405153415040387[/C][/ROW]
[ROW][C]0.29[/C][C]106.198891403695[/C][C]0.38685304359298[/C][/ROW]
[ROW][C]0.3[/C][C]106.279988042782[/C][C]0.363198495626818[/C][/ROW]
[ROW][C]0.31[/C][C]106.355220736157[/C][C]0.336010855638391[/C][/ROW]
[ROW][C]0.32[/C][C]106.424114518628[/C][C]0.306900877334726[/C][/ROW]
[ROW][C]0.33[/C][C]106.486538291601[/C][C]0.2777584559479[/C][/ROW]
[ROW][C]0.34[/C][C]106.542678288759[/C][C]0.250068919291716[/C][/ROW]
[ROW][C]0.35[/C][C]106.592981060402[/C][C]0.224832365021798[/C][/ROW]
[ROW][C]0.36[/C][C]106.638086842537[/C][C]0.202802605282584[/C][/ROW]
[ROW][C]0.37[/C][C]106.678769928355[/C][C]0.184640905406114[/C][/ROW]
[ROW][C]0.38[/C][C]106.715895053965[/C][C]0.170429138137681[/C][/ROW]
[ROW][C]0.39[/C][C]106.750390709854[/C][C]0.160791025603177[/C][/ROW]
[ROW][C]0.4[/C][C]106.783233963155[/C][C]0.156094014509456[/C][/ROW]
[ROW][C]0.41[/C][C]106.815438056573[/C][C]0.156557426860216[/C][/ROW]
[ROW][C]0.42[/C][C]106.84803394557[/C][C]0.162662149757496[/C][/ROW]
[ROW][C]0.43[/C][C]106.882039495779[/C][C]0.173976784994763[/C][/ROW]
[ROW][C]0.44[/C][C]106.918414309533[/C][C]0.190090554600421[/C][/ROW]
[ROW][C]0.45[/C][C]106.958002948936[/C][C]0.210548482896639[/C][/ROW]
[ROW][C]0.46[/C][C]107.001473567014[/C][C]0.233531606006946[/C][/ROW]
[ROW][C]0.47[/C][C]107.04926170274[/C][C]0.258060607793834[/C][/ROW]
[ROW][C]0.48[/C][C]107.101529582797[/C][C]0.282315536721118[/C][/ROW]
[ROW][C]0.49[/C][C]107.158149471664[/C][C]0.304742151814982[/C][/ROW]
[ROW][C]0.5[/C][C]107.218715731668[/C][C]0.323940867022816[/C][/ROW]
[ROW][C]0.51[/C][C]107.282585160528[/C][C]0.338837506596285[/C][/ROW]
[ROW][C]0.52[/C][C]107.348940128614[/C][C]0.348839943108933[/C][/ROW]
[ROW][C]0.53[/C][C]107.41686536647[/C][C]0.353622850713048[/C][/ROW]
[ROW][C]0.54[/C][C]107.485427908198[/C][C]0.353441833609631[/C][/ROW]
[ROW][C]0.55[/C][C]107.553750894725[/C][C]0.348910016822593[/C][/ROW]
[ROW][C]0.56[/C][C]107.621075040046[/C][C]0.340727213223197[/C][/ROW]
[ROW][C]0.57[/C][C]107.686805277166[/C][C]0.329800987655594[/C][/ROW]
[ROW][C]0.58[/C][C]107.750543001175[/C][C]0.317217011938179[/C][/ROW]
[ROW][C]0.59[/C][C]107.812105437951[/C][C]0.304038052436436[/C][/ROW]
[ROW][C]0.6[/C][C]107.871532882054[/C][C]0.291458239542181[/C][/ROW]
[ROW][C]0.61[/C][C]107.929082674374[/C][C]0.280475455681113[/C][/ROW]
[ROW][C]0.62[/C][C]107.985207183264[/C][C]0.272095139954811[/C][/ROW]
[ROW][C]0.63[/C][C]108.040512989808[/C][C]0.2671954780144[/C][/ROW]
[ROW][C]0.64[/C][C]108.095700568683[/C][C]0.266143444206614[/C][/ROW]
[ROW][C]0.65[/C][C]108.151487655535[/C][C]0.268971599470957[/C][/ROW]
[ROW][C]0.66[/C][C]108.208524043385[/C][C]0.274986003206865[/C][/ROW]
[ROW][C]0.67[/C][C]108.267309277763[/C][C]0.283048069136668[/C][/ROW]
[ROW][C]0.68[/C][C]108.328126417464[/C][C]0.291870006317069[/C][/ROW]
[ROW][C]0.69[/C][C]108.391004167882[/C][C]0.300006249447727[/C][/ROW]
[ROW][C]0.7[/C][C]108.455716476118[/C][C]0.306070621456171[/C][/ROW]
[ROW][C]0.71[/C][C]108.521823741316[/C][C]0.309171620211538[/C][/ROW]
[ROW][C]0.72[/C][C]108.588753803545[/C][C]0.308767929272409[/C][/ROW]
[ROW][C]0.73[/C][C]108.655914254845[/C][C]0.304910517870034[/C][/ROW]
[ROW][C]0.74[/C][C]108.722820653955[/C][C]0.298311464062884[/C][/ROW]
[ROW][C]0.75[/C][C]108.7892185516[/C][C]0.290361917078459[/C][/ROW]
[ROW][C]0.76[/C][C]108.855172432171[/C][C]0.28270969777599[/C][/ROW]
[ROW][C]0.77[/C][C]108.921094579181[/C][C]0.277341968387622[/C][/ROW]
[ROW][C]0.78[/C][C]108.987694981412[/C][C]0.275724259171771[/C][/ROW]
[ROW][C]0.79[/C][C]109.055852178284[/C][C]0.278429658271227[/C][/ROW]
[ROW][C]0.8[/C][C]109.126433226011[/C][C]0.285033943985585[/C][/ROW]
[ROW][C]0.81[/C][C]109.200121576519[/C][C]0.293807038434268[/C][/ROW]
[ROW][C]0.82[/C][C]109.277331061731[/C][C]0.302604076556081[/C][/ROW]
[ROW][C]0.83[/C][C]109.358275850285[/C][C]0.309751214927877[/C][/ROW]
[ROW][C]0.84[/C][C]109.443218305774[/C][C]0.315113631775433[/C][/ROW]
[ROW][C]0.85[/C][C]109.532831837767[/C][C]0.320499680978386[/C][/ROW]
[ROW][C]0.86[/C][C]109.628519322653[/C][C]0.329637422078531[/C][/ROW]
[ROW][C]0.87[/C][C]109.732467214897[/C][C]0.346361713016932[/C][/ROW]
[ROW][C]0.88[/C][C]109.84724819148[/C][C]0.372218593554073[/C][/ROW]
[ROW][C]0.89[/C][C]109.974949217733[/C][C]0.403951319754835[/C][/ROW]
[ROW][C]0.9[/C][C]110.116077029585[/C][C]0.433414603703761[/C][/ROW]
[ROW][C]0.91[/C][C]110.268766226033[/C][C]0.450360768879468[/C][/ROW]
[ROW][C]0.92[/C][C]110.428889290613[/C][C]0.446809339526928[/C][/ROW]
[ROW][C]0.93[/C][C]110.591378019411[/C][C]0.421203818081131[/C][/ROW]
[ROW][C]0.94[/C][C]110.752560304897[/C][C]0.380608533236822[/C][/ROW]
[ROW][C]0.95[/C][C]110.913340914285[/C][C]0.337892096264062[/C][/ROW]
[ROW][C]0.96[/C][C]111.084271797877[/C][C]0.307135563097061[/C][/ROW]
[ROW][C]0.97[/C][C]111.292849746378[/C][C]0.313837622559894[/C][/ROW]
[ROW][C]0.98[/C][C]111.579406784085[/C][C]0.422030376174261[/C][/ROW]
[ROW][C]0.99[/C][C]111.941019935708[/C][C]0.660735084185111[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=213039&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=213039&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
0.01100.5374413978020.477963788014324
0.02100.9329165144720.790174056608131
0.03101.4355334822280.93682439361704
0.04101.9484565983280.933105827141471
0.05102.4115405989450.854582402914785
0.06102.8027691285150.753039596450154
0.07103.1242210951050.657183392360567
0.08103.3891903422420.586847581628777
0.09103.6143607130470.553049862264196
0.1103.8152576841140.552808145524536
0.11104.0034630178750.570574955093203
0.12104.185401128230.588129196252068
0.13104.362739463020.593049557305756
0.14104.533967669480.581166815079262
0.15104.696359234110.55462164482045
0.16104.8475868843590.519633492145136
0.17104.9866166121250.483319267427788
0.18105.1138816264780.451401766380294
0.19105.2309674412550.427684978672627
0.2105.3400913389340.41309928775536
0.21105.443591949220.406917114098074
0.22105.5435389946150.40745488664693
0.23105.6414882693190.412330554694231
0.24105.7383640849980.418133010969199
0.25105.8344428354250.422524673504107
0.26105.9294173156540.422798654158418
0.27106.0225257635550.417309418569398
0.28106.1127264565770.405153415040387
0.29106.1988914036950.38685304359298
0.3106.2799880427820.363198495626818
0.31106.3552207361570.336010855638391
0.32106.4241145186280.306900877334726
0.33106.4865382916010.2777584559479
0.34106.5426782887590.250068919291716
0.35106.5929810604020.224832365021798
0.36106.6380868425370.202802605282584
0.37106.6787699283550.184640905406114
0.38106.7158950539650.170429138137681
0.39106.7503907098540.160791025603177
0.4106.7832339631550.156094014509456
0.41106.8154380565730.156557426860216
0.42106.848033945570.162662149757496
0.43106.8820394957790.173976784994763
0.44106.9184143095330.190090554600421
0.45106.9580029489360.210548482896639
0.46107.0014735670140.233531606006946
0.47107.049261702740.258060607793834
0.48107.1015295827970.282315536721118
0.49107.1581494716640.304742151814982
0.5107.2187157316680.323940867022816
0.51107.2825851605280.338837506596285
0.52107.3489401286140.348839943108933
0.53107.416865366470.353622850713048
0.54107.4854279081980.353441833609631
0.55107.5537508947250.348910016822593
0.56107.6210750400460.340727213223197
0.57107.6868052771660.329800987655594
0.58107.7505430011750.317217011938179
0.59107.8121054379510.304038052436436
0.6107.8715328820540.291458239542181
0.61107.9290826743740.280475455681113
0.62107.9852071832640.272095139954811
0.63108.0405129898080.2671954780144
0.64108.0957005686830.266143444206614
0.65108.1514876555350.268971599470957
0.66108.2085240433850.274986003206865
0.67108.2673092777630.283048069136668
0.68108.3281264174640.291870006317069
0.69108.3910041678820.300006249447727
0.7108.4557164761180.306070621456171
0.71108.5218237413160.309171620211538
0.72108.5887538035450.308767929272409
0.73108.6559142548450.304910517870034
0.74108.7228206539550.298311464062884
0.75108.78921855160.290361917078459
0.76108.8551724321710.28270969777599
0.77108.9210945791810.277341968387622
0.78108.9876949814120.275724259171771
0.79109.0558521782840.278429658271227
0.8109.1264332260110.285033943985585
0.81109.2001215765190.293807038434268
0.82109.2773310617310.302604076556081
0.83109.3582758502850.309751214927877
0.84109.4432183057740.315113631775433
0.85109.5328318377670.320499680978386
0.86109.6285193226530.329637422078531
0.87109.7324672148970.346361713016932
0.88109.847248191480.372218593554073
0.89109.9749492177330.403951319754835
0.9110.1160770295850.433414603703761
0.91110.2687662260330.450360768879468
0.92110.4288892906130.446809339526928
0.93110.5913780194110.421203818081131
0.94110.7525603048970.380608533236822
0.95110.9133409142850.337892096264062
0.96111.0842717978770.307135563097061
0.97111.2928497463780.313837622559894
0.98111.5794067840850.422030376174261
0.99111.9410199357080.660735084185111


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')