## 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, 21 Dec 2013 10:50:38 -0500
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/Dec/21/t1387641077rne3kyzutaqfcx4.htm/, Retrieved Sat, 21 May 2022 15:07:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=232493, Retrieved Sat, 21 May 2022 15:07:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact116
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [werkloosheidscijf...] [2013-10-08 18:26:09] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD    [Harrell-Davis Quantiles] [consumtieprijs va...] [2013-12-21 15:50:38] [4a7f7842fc88d649abcd00dd10ef7b6c] [Current]
-   PD      [Harrell-Davis Quantiles] [] [2013-12-21 16:11:56] [6a1a05b03d1c87a66b915fc3d5866cc8]
- R P         [Harrell-Davis Quantiles] [] [2013-12-21 16:16:29] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD        [(Partial) Autocorrelation Function] [] [2013-12-21 18:23:11] [6a1a05b03d1c87a66b915fc3d5866cc8]
-    D          [(Partial) Autocorrelation Function] [] [2013-12-22 16:04:51] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD          [Mean Plot] [] [2013-12-22 16:12:13] [6a1a05b03d1c87a66b915fc3d5866cc8]
- R PD          [(Partial) Autocorrelation Function] [] [2013-12-22 16:16:18] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD          [Variability] [] [2013-12-22 17:47:13] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD          [Standard Deviation Plot] [] [2013-12-22 18:10:49] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD          [Standard Deviation-Mean Plot] [] [2013-12-22 19:00:26] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD          [Variability] [] [2013-12-22 19:09:26] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD          [Standard Deviation Plot] [] [2013-12-22 19:16:43] [6a1a05b03d1c87a66b915fc3d5866cc8]
- RMPD          [Standard Deviation-Mean Plot] [] [2013-12-22 19:33:36] [6a1a05b03d1c87a66b915fc3d5866cc8]
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Dataseries X:
2,17
2,17
2,08
2,12
2,18
2,13
2,21
2,06
1,91
1,99
2,04
2,02
2,01
2,1
2,01
2,07
2,05
2,1
2,15
2,15
1,96
2,06
2,07
2,05
2,08
2,14
2,16
2,35
2,31
2,2
2,3
2,22
2,14
2,17
2,12
2,1
2,17
2,29
2,17
2,25
2,13
2,23
2,17
2,24
2,13
2,16
2,1
2,05
2,03
2,24
2,17
2,13
2,21
2,18
2,21
2,23
2,09
2,16
2,13
2,12
2,04
2,2
2,16
2,14
2,18
2,08
2,1
2,04
1,98
1,99
1,99
2
2,02
2,02
2,03
1,96
1,95
1,94
1,96
2
1,88
1,98
1,99
1,96


 Summary of computational transaction Raw Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 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=232493&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=232493&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232493&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 Input view raw input (R code) Raw Output view raw output of R engine Computing time 2 seconds R Server 'Gertrude Mary Cox' @ cox.wessa.net

 Harrell-Davis Quantiles quantiles value standard error 0.01 1.89251882207826 0.028322959363384 0.02 1.91071400487598 0.026068841148337 0.03 1.92742437263506 0.0219431993873843 0.04 1.94011676812761 0.0169880429683749 0.05 1.9491026128595 0.0129751068603349 0.06 1.95552565008418 0.0107898093263805 0.07 1.96049557459243 0.0103983394336887 0.08 1.96481690888191 0.0110958748558642 0.09 1.96894599180642 0.0120334978102137 0.1 1.97305131341612 0.0126509439259236 0.11 1.97712151454074 0.0127631380505069 0.12 1.98107709046261 0.0124811700375334 0.13 1.98485235853965 0.0120621847910718 0.14 1.98843330257118 0.0117708458262855 0.15 1.99185665620867 0.0117603127307576 0.16 1.99518709690255 0.0120385516356162 0.17 1.99849038510543 0.0125147432229424 0.18 2.001814268571 0.0130592854763352 0.19 2.00518118139426 0.0135668057745005 0.2 2.00859088274461 0.0139746504312594 0.21 2.01202849894806 0.0142634791241725 0.22 2.01547348612476 0.0144492197844652 0.23 2.01890659336493 0.014555999982297 0.24 2.02231377990478 0.0146175191359435 0.25 2.02568744665134 0.0146583312510955 0.26 2.02902599876381 0.0146952663970803 0.27 2.03233275445864 0.0147495067540696 0.28 2.0356148393525 0.0148328063597748 0.29 2.03888225884338 0.0149598226481131 0.3 2.0421470342967 0.0151400485549938 0.31 2.04542219999956 0.0153825981806352 0.32 2.04872055010407 0.0156824817323446 0.33 2.05205319885567 0.0160273109547562 0.34 2.05542816952154 0.0163968246345667 0.35 2.05884929074112 0.016763930003806 0.36 2.06231563859473 0.0171009320699645 0.37 2.06582164641048 0.0173858648002739 0.38 2.06935786015319 0.0176039069484999 0.39 2.07291218970487 0.0177425307653689 0.4 2.07647142210993 0.0178004656156032 0.41 2.08002272868809 0.0177859601424891 0.42 2.08355490822812 0.0177110959798663 0.43 2.08705915553504 0.0175940741446576 0.44 2.09052922441761 0.0174502755200137 0.45 2.09396096468805 0.0172908517625336 0.46 2.09735134602675 0.0171164615209957 0.47 2.10069721641636 0.016928874870008 0.48 2.1039941439342 0.0167091195144477 0.49 2.107235717817 0.0164467114422657 0.5 2.11041360956323 0.0161208184350724 0.51 2.11351851761605 0.0157276757136472 0.52 2.11654187629851 0.0152705762168796 0.53 2.11947796709069 0.01477120120648 0.54 2.12232590339795 0.0142617051204913 0.55 2.12509092729057 0.0137899292951951 0.56 2.12778457846688 0.0133922884546306 0.57 2.13042354501012 0.0131020202726812 0.58 2.13302731626108 0.0129315525311564 0.59 2.13561504605214 0.0128698572944605 0.6 2.1382022235844 0.0128871465930999 0.61 2.14079779401509 0.012933814033056 0.62 2.1434022684226 0.0129594619590269 0.63 2.14600715093623 0.0129120510643275 0.64 2.14859575403128 0.0127526231337752 0.65 2.15114524161383 0.012457766769986 0.66 2.15362958742057 0.0120174470388963 0.67 2.15602308418425 0.0114444215237415 0.68 2.15830406898578 0.0107655172395773 0.69 2.16045859393348 0.0100229551698944 0.7 2.16248381102599 0.00927358827389324 0.71 2.16439081514041 0.00858553816732839 0.72 2.16620659777381 0.0080373438630749 0.73 2.16797465041178 0.00771176081416806 0.74 2.16975369757061 0.00768688417958659 0.75 2.17161411934992 0.00801498578552521 0.76 2.17363190062925 0.0087034787391848 0.77 2.17588042785502 0.00970589307280962 0.78 2.1784210877217 0.0109264792112646 0.79 2.18129427162166 0.0122381789529027 0.8 2.18451284283187 0.0134988625111149 0.81 2.18806011168392 0.0145694334297059 0.82 2.19189364878684 0.0153451418535935 0.83 2.19595480529277 0.0157750068859547 0.84 2.20018195747491 0.0158768331104564 0.85 2.20452409817973 0.0157311036241954 0.86 2.208951591431 0.0154552325325366 0.87 2.21346346502279 0.0151589843914879 0.88 2.21809498667278 0.0149335215821578 0.89 2.22293268303204 0.0148751548676977 0.9 2.22814146062776 0.0151595437760212 0.91 2.23399521296744 0.0161108817512635 0.92 2.24087954218888 0.0181001997321266 0.93 2.24921975525997 0.0211670770690148 0.94 2.25931622907123 0.0245900646920065 0.95 2.27118013475543 0.0269048284370492 0.96 2.28461624076644 0.0267787289822395 0.97 2.29972682839754 0.0247341797951866 0.98 2.31716778063685 0.0249079909958307 0.99 2.33610522389572 0.0315300811222246

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.89251882207826 & 0.028322959363384 \tabularnewline
0.02 & 1.91071400487598 & 0.026068841148337 \tabularnewline
0.03 & 1.92742437263506 & 0.0219431993873843 \tabularnewline
0.04 & 1.94011676812761 & 0.0169880429683749 \tabularnewline
0.05 & 1.9491026128595 & 0.0129751068603349 \tabularnewline
0.06 & 1.95552565008418 & 0.0107898093263805 \tabularnewline
0.07 & 1.96049557459243 & 0.0103983394336887 \tabularnewline
0.08 & 1.96481690888191 & 0.0110958748558642 \tabularnewline
0.09 & 1.96894599180642 & 0.0120334978102137 \tabularnewline
0.1 & 1.97305131341612 & 0.0126509439259236 \tabularnewline
0.11 & 1.97712151454074 & 0.0127631380505069 \tabularnewline
0.12 & 1.98107709046261 & 0.0124811700375334 \tabularnewline
0.13 & 1.98485235853965 & 0.0120621847910718 \tabularnewline
0.14 & 1.98843330257118 & 0.0117708458262855 \tabularnewline
0.15 & 1.99185665620867 & 0.0117603127307576 \tabularnewline
0.16 & 1.99518709690255 & 0.0120385516356162 \tabularnewline
0.17 & 1.99849038510543 & 0.0125147432229424 \tabularnewline
0.18 & 2.001814268571 & 0.0130592854763352 \tabularnewline
0.19 & 2.00518118139426 & 0.0135668057745005 \tabularnewline
0.2 & 2.00859088274461 & 0.0139746504312594 \tabularnewline
0.21 & 2.01202849894806 & 0.0142634791241725 \tabularnewline
0.22 & 2.01547348612476 & 0.0144492197844652 \tabularnewline
0.23 & 2.01890659336493 & 0.014555999982297 \tabularnewline
0.24 & 2.02231377990478 & 0.0146175191359435 \tabularnewline
0.25 & 2.02568744665134 & 0.0146583312510955 \tabularnewline
0.26 & 2.02902599876381 & 0.0146952663970803 \tabularnewline
0.27 & 2.03233275445864 & 0.0147495067540696 \tabularnewline
0.28 & 2.0356148393525 & 0.0148328063597748 \tabularnewline
0.29 & 2.03888225884338 & 0.0149598226481131 \tabularnewline
0.3 & 2.0421470342967 & 0.0151400485549938 \tabularnewline
0.31 & 2.04542219999956 & 0.0153825981806352 \tabularnewline
0.32 & 2.04872055010407 & 0.0156824817323446 \tabularnewline
0.33 & 2.05205319885567 & 0.0160273109547562 \tabularnewline
0.34 & 2.05542816952154 & 0.0163968246345667 \tabularnewline
0.35 & 2.05884929074112 & 0.016763930003806 \tabularnewline
0.36 & 2.06231563859473 & 0.0171009320699645 \tabularnewline
0.37 & 2.06582164641048 & 0.0173858648002739 \tabularnewline
0.38 & 2.06935786015319 & 0.0176039069484999 \tabularnewline
0.39 & 2.07291218970487 & 0.0177425307653689 \tabularnewline
0.4 & 2.07647142210993 & 0.0178004656156032 \tabularnewline
0.41 & 2.08002272868809 & 0.0177859601424891 \tabularnewline
0.42 & 2.08355490822812 & 0.0177110959798663 \tabularnewline
0.43 & 2.08705915553504 & 0.0175940741446576 \tabularnewline
0.44 & 2.09052922441761 & 0.0174502755200137 \tabularnewline
0.45 & 2.09396096468805 & 0.0172908517625336 \tabularnewline
0.46 & 2.09735134602675 & 0.0171164615209957 \tabularnewline
0.47 & 2.10069721641636 & 0.016928874870008 \tabularnewline
0.48 & 2.1039941439342 & 0.0167091195144477 \tabularnewline
0.49 & 2.107235717817 & 0.0164467114422657 \tabularnewline
0.5 & 2.11041360956323 & 0.0161208184350724 \tabularnewline
0.51 & 2.11351851761605 & 0.0157276757136472 \tabularnewline
0.52 & 2.11654187629851 & 0.0152705762168796 \tabularnewline
0.53 & 2.11947796709069 & 0.01477120120648 \tabularnewline
0.54 & 2.12232590339795 & 0.0142617051204913 \tabularnewline
0.55 & 2.12509092729057 & 0.0137899292951951 \tabularnewline
0.56 & 2.12778457846688 & 0.0133922884546306 \tabularnewline
0.57 & 2.13042354501012 & 0.0131020202726812 \tabularnewline
0.58 & 2.13302731626108 & 0.0129315525311564 \tabularnewline
0.59 & 2.13561504605214 & 0.0128698572944605 \tabularnewline
0.6 & 2.1382022235844 & 0.0128871465930999 \tabularnewline
0.61 & 2.14079779401509 & 0.012933814033056 \tabularnewline
0.62 & 2.1434022684226 & 0.0129594619590269 \tabularnewline
0.63 & 2.14600715093623 & 0.0129120510643275 \tabularnewline
0.64 & 2.14859575403128 & 0.0127526231337752 \tabularnewline
0.65 & 2.15114524161383 & 0.012457766769986 \tabularnewline
0.66 & 2.15362958742057 & 0.0120174470388963 \tabularnewline
0.67 & 2.15602308418425 & 0.0114444215237415 \tabularnewline
0.68 & 2.15830406898578 & 0.0107655172395773 \tabularnewline
0.69 & 2.16045859393348 & 0.0100229551698944 \tabularnewline
0.7 & 2.16248381102599 & 0.00927358827389324 \tabularnewline
0.71 & 2.16439081514041 & 0.00858553816732839 \tabularnewline
0.72 & 2.16620659777381 & 0.0080373438630749 \tabularnewline
0.73 & 2.16797465041178 & 0.00771176081416806 \tabularnewline
0.74 & 2.16975369757061 & 0.00768688417958659 \tabularnewline
0.75 & 2.17161411934992 & 0.00801498578552521 \tabularnewline
0.76 & 2.17363190062925 & 0.0087034787391848 \tabularnewline
0.77 & 2.17588042785502 & 0.00970589307280962 \tabularnewline
0.78 & 2.1784210877217 & 0.0109264792112646 \tabularnewline
0.79 & 2.18129427162166 & 0.0122381789529027 \tabularnewline
0.8 & 2.18451284283187 & 0.0134988625111149 \tabularnewline
0.81 & 2.18806011168392 & 0.0145694334297059 \tabularnewline
0.82 & 2.19189364878684 & 0.0153451418535935 \tabularnewline
0.83 & 2.19595480529277 & 0.0157750068859547 \tabularnewline
0.84 & 2.20018195747491 & 0.0158768331104564 \tabularnewline
0.85 & 2.20452409817973 & 0.0157311036241954 \tabularnewline
0.86 & 2.208951591431 & 0.0154552325325366 \tabularnewline
0.87 & 2.21346346502279 & 0.0151589843914879 \tabularnewline
0.88 & 2.21809498667278 & 0.0149335215821578 \tabularnewline
0.89 & 2.22293268303204 & 0.0148751548676977 \tabularnewline
0.9 & 2.22814146062776 & 0.0151595437760212 \tabularnewline
0.91 & 2.23399521296744 & 0.0161108817512635 \tabularnewline
0.92 & 2.24087954218888 & 0.0181001997321266 \tabularnewline
0.93 & 2.24921975525997 & 0.0211670770690148 \tabularnewline
0.94 & 2.25931622907123 & 0.0245900646920065 \tabularnewline
0.95 & 2.27118013475543 & 0.0269048284370492 \tabularnewline
0.96 & 2.28461624076644 & 0.0267787289822395 \tabularnewline
0.97 & 2.29972682839754 & 0.0247341797951866 \tabularnewline
0.98 & 2.31716778063685 & 0.0249079909958307 \tabularnewline
0.99 & 2.33610522389572 & 0.0315300811222246 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=232493&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]1.89251882207826[/C][C]0.028322959363384[/C][/ROW]
[ROW][C]0.02[/C][C]1.91071400487598[/C][C]0.026068841148337[/C][/ROW]
[ROW][C]0.03[/C][C]1.92742437263506[/C][C]0.0219431993873843[/C][/ROW]
[ROW][C]0.04[/C][C]1.94011676812761[/C][C]0.0169880429683749[/C][/ROW]
[ROW][C]0.05[/C][C]1.9491026128595[/C][C]0.0129751068603349[/C][/ROW]
[ROW][C]0.06[/C][C]1.95552565008418[/C][C]0.0107898093263805[/C][/ROW]
[ROW][C]0.07[/C][C]1.96049557459243[/C][C]0.0103983394336887[/C][/ROW]
[ROW][C]0.08[/C][C]1.96481690888191[/C][C]0.0110958748558642[/C][/ROW]
[ROW][C]0.09[/C][C]1.96894599180642[/C][C]0.0120334978102137[/C][/ROW]
[ROW][C]0.1[/C][C]1.97305131341612[/C][C]0.0126509439259236[/C][/ROW]
[ROW][C]0.11[/C][C]1.97712151454074[/C][C]0.0127631380505069[/C][/ROW]
[ROW][C]0.12[/C][C]1.98107709046261[/C][C]0.0124811700375334[/C][/ROW]
[ROW][C]0.13[/C][C]1.98485235853965[/C][C]0.0120621847910718[/C][/ROW]
[ROW][C]0.14[/C][C]1.98843330257118[/C][C]0.0117708458262855[/C][/ROW]
[ROW][C]0.15[/C][C]1.99185665620867[/C][C]0.0117603127307576[/C][/ROW]
[ROW][C]0.16[/C][C]1.99518709690255[/C][C]0.0120385516356162[/C][/ROW]
[ROW][C]0.17[/C][C]1.99849038510543[/C][C]0.0125147432229424[/C][/ROW]
[ROW][C]0.18[/C][C]2.001814268571[/C][C]0.0130592854763352[/C][/ROW]
[ROW][C]0.19[/C][C]2.00518118139426[/C][C]0.0135668057745005[/C][/ROW]
[ROW][C]0.2[/C][C]2.00859088274461[/C][C]0.0139746504312594[/C][/ROW]
[ROW][C]0.21[/C][C]2.01202849894806[/C][C]0.0142634791241725[/C][/ROW]
[ROW][C]0.22[/C][C]2.01547348612476[/C][C]0.0144492197844652[/C][/ROW]
[ROW][C]0.23[/C][C]2.01890659336493[/C][C]0.014555999982297[/C][/ROW]
[ROW][C]0.24[/C][C]2.02231377990478[/C][C]0.0146175191359435[/C][/ROW]
[ROW][C]0.25[/C][C]2.02568744665134[/C][C]0.0146583312510955[/C][/ROW]
[ROW][C]0.26[/C][C]2.02902599876381[/C][C]0.0146952663970803[/C][/ROW]
[ROW][C]0.27[/C][C]2.03233275445864[/C][C]0.0147495067540696[/C][/ROW]
[ROW][C]0.28[/C][C]2.0356148393525[/C][C]0.0148328063597748[/C][/ROW]
[ROW][C]0.29[/C][C]2.03888225884338[/C][C]0.0149598226481131[/C][/ROW]
[ROW][C]0.3[/C][C]2.0421470342967[/C][C]0.0151400485549938[/C][/ROW]
[ROW][C]0.31[/C][C]2.04542219999956[/C][C]0.0153825981806352[/C][/ROW]
[ROW][C]0.32[/C][C]2.04872055010407[/C][C]0.0156824817323446[/C][/ROW]
[ROW][C]0.33[/C][C]2.05205319885567[/C][C]0.0160273109547562[/C][/ROW]
[ROW][C]0.34[/C][C]2.05542816952154[/C][C]0.0163968246345667[/C][/ROW]
[ROW][C]0.35[/C][C]2.05884929074112[/C][C]0.016763930003806[/C][/ROW]
[ROW][C]0.36[/C][C]2.06231563859473[/C][C]0.0171009320699645[/C][/ROW]
[ROW][C]0.37[/C][C]2.06582164641048[/C][C]0.0173858648002739[/C][/ROW]
[ROW][C]0.38[/C][C]2.06935786015319[/C][C]0.0176039069484999[/C][/ROW]
[ROW][C]0.39[/C][C]2.07291218970487[/C][C]0.0177425307653689[/C][/ROW]
[ROW][C]0.4[/C][C]2.07647142210993[/C][C]0.0178004656156032[/C][/ROW]
[ROW][C]0.41[/C][C]2.08002272868809[/C][C]0.0177859601424891[/C][/ROW]
[ROW][C]0.42[/C][C]2.08355490822812[/C][C]0.0177110959798663[/C][/ROW]
[ROW][C]0.43[/C][C]2.08705915553504[/C][C]0.0175940741446576[/C][/ROW]
[ROW][C]0.44[/C][C]2.09052922441761[/C][C]0.0174502755200137[/C][/ROW]
[ROW][C]0.45[/C][C]2.09396096468805[/C][C]0.0172908517625336[/C][/ROW]
[ROW][C]0.46[/C][C]2.09735134602675[/C][C]0.0171164615209957[/C][/ROW]
[ROW][C]0.47[/C][C]2.10069721641636[/C][C]0.016928874870008[/C][/ROW]
[ROW][C]0.48[/C][C]2.1039941439342[/C][C]0.0167091195144477[/C][/ROW]
[ROW][C]0.49[/C][C]2.107235717817[/C][C]0.0164467114422657[/C][/ROW]
[ROW][C]0.5[/C][C]2.11041360956323[/C][C]0.0161208184350724[/C][/ROW]
[ROW][C]0.51[/C][C]2.11351851761605[/C][C]0.0157276757136472[/C][/ROW]
[ROW][C]0.52[/C][C]2.11654187629851[/C][C]0.0152705762168796[/C][/ROW]
[ROW][C]0.53[/C][C]2.11947796709069[/C][C]0.01477120120648[/C][/ROW]
[ROW][C]0.54[/C][C]2.12232590339795[/C][C]0.0142617051204913[/C][/ROW]
[ROW][C]0.55[/C][C]2.12509092729057[/C][C]0.0137899292951951[/C][/ROW]
[ROW][C]0.56[/C][C]2.12778457846688[/C][C]0.0133922884546306[/C][/ROW]
[ROW][C]0.57[/C][C]2.13042354501012[/C][C]0.0131020202726812[/C][/ROW]
[ROW][C]0.58[/C][C]2.13302731626108[/C][C]0.0129315525311564[/C][/ROW]
[ROW][C]0.59[/C][C]2.13561504605214[/C][C]0.0128698572944605[/C][/ROW]
[ROW][C]0.6[/C][C]2.1382022235844[/C][C]0.0128871465930999[/C][/ROW]
[ROW][C]0.61[/C][C]2.14079779401509[/C][C]0.012933814033056[/C][/ROW]
[ROW][C]0.62[/C][C]2.1434022684226[/C][C]0.0129594619590269[/C][/ROW]
[ROW][C]0.63[/C][C]2.14600715093623[/C][C]0.0129120510643275[/C][/ROW]
[ROW][C]0.64[/C][C]2.14859575403128[/C][C]0.0127526231337752[/C][/ROW]
[ROW][C]0.65[/C][C]2.15114524161383[/C][C]0.012457766769986[/C][/ROW]
[ROW][C]0.66[/C][C]2.15362958742057[/C][C]0.0120174470388963[/C][/ROW]
[ROW][C]0.67[/C][C]2.15602308418425[/C][C]0.0114444215237415[/C][/ROW]
[ROW][C]0.68[/C][C]2.15830406898578[/C][C]0.0107655172395773[/C][/ROW]
[ROW][C]0.69[/C][C]2.16045859393348[/C][C]0.0100229551698944[/C][/ROW]
[ROW][C]0.7[/C][C]2.16248381102599[/C][C]0.00927358827389324[/C][/ROW]
[ROW][C]0.71[/C][C]2.16439081514041[/C][C]0.00858553816732839[/C][/ROW]
[ROW][C]0.72[/C][C]2.16620659777381[/C][C]0.0080373438630749[/C][/ROW]
[ROW][C]0.73[/C][C]2.16797465041178[/C][C]0.00771176081416806[/C][/ROW]
[ROW][C]0.74[/C][C]2.16975369757061[/C][C]0.00768688417958659[/C][/ROW]
[ROW][C]0.75[/C][C]2.17161411934992[/C][C]0.00801498578552521[/C][/ROW]
[ROW][C]0.76[/C][C]2.17363190062925[/C][C]0.0087034787391848[/C][/ROW]
[ROW][C]0.77[/C][C]2.17588042785502[/C][C]0.00970589307280962[/C][/ROW]
[ROW][C]0.78[/C][C]2.1784210877217[/C][C]0.0109264792112646[/C][/ROW]
[ROW][C]0.79[/C][C]2.18129427162166[/C][C]0.0122381789529027[/C][/ROW]
[ROW][C]0.8[/C][C]2.18451284283187[/C][C]0.0134988625111149[/C][/ROW]
[ROW][C]0.81[/C][C]2.18806011168392[/C][C]0.0145694334297059[/C][/ROW]
[ROW][C]0.82[/C][C]2.19189364878684[/C][C]0.0153451418535935[/C][/ROW]
[ROW][C]0.83[/C][C]2.19595480529277[/C][C]0.0157750068859547[/C][/ROW]
[ROW][C]0.84[/C][C]2.20018195747491[/C][C]0.0158768331104564[/C][/ROW]
[ROW][C]0.85[/C][C]2.20452409817973[/C][C]0.0157311036241954[/C][/ROW]
[ROW][C]0.86[/C][C]2.208951591431[/C][C]0.0154552325325366[/C][/ROW]
[ROW][C]0.87[/C][C]2.21346346502279[/C][C]0.0151589843914879[/C][/ROW]
[ROW][C]0.88[/C][C]2.21809498667278[/C][C]0.0149335215821578[/C][/ROW]
[ROW][C]0.89[/C][C]2.22293268303204[/C][C]0.0148751548676977[/C][/ROW]
[ROW][C]0.9[/C][C]2.22814146062776[/C][C]0.0151595437760212[/C][/ROW]
[ROW][C]0.91[/C][C]2.23399521296744[/C][C]0.0161108817512635[/C][/ROW]
[ROW][C]0.92[/C][C]2.24087954218888[/C][C]0.0181001997321266[/C][/ROW]
[ROW][C]0.93[/C][C]2.24921975525997[/C][C]0.0211670770690148[/C][/ROW]
[ROW][C]0.94[/C][C]2.25931622907123[/C][C]0.0245900646920065[/C][/ROW]
[ROW][C]0.95[/C][C]2.27118013475543[/C][C]0.0269048284370492[/C][/ROW]
[ROW][C]0.96[/C][C]2.28461624076644[/C][C]0.0267787289822395[/C][/ROW]
[ROW][C]0.97[/C][C]2.29972682839754[/C][C]0.0247341797951866[/C][/ROW]
[ROW][C]0.98[/C][C]2.31716778063685[/C][C]0.0249079909958307[/C][/ROW]
[ROW][C]0.99[/C][C]2.33610522389572[/C][C]0.0315300811222246[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=232493&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=232493&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 quantiles value standard error 0.01 1.89251882207826 0.028322959363384 0.02 1.91071400487598 0.026068841148337 0.03 1.92742437263506 0.0219431993873843 0.04 1.94011676812761 0.0169880429683749 0.05 1.9491026128595 0.0129751068603349 0.06 1.95552565008418 0.0107898093263805 0.07 1.96049557459243 0.0103983394336887 0.08 1.96481690888191 0.0110958748558642 0.09 1.96894599180642 0.0120334978102137 0.1 1.97305131341612 0.0126509439259236 0.11 1.97712151454074 0.0127631380505069 0.12 1.98107709046261 0.0124811700375334 0.13 1.98485235853965 0.0120621847910718 0.14 1.98843330257118 0.0117708458262855 0.15 1.99185665620867 0.0117603127307576 0.16 1.99518709690255 0.0120385516356162 0.17 1.99849038510543 0.0125147432229424 0.18 2.001814268571 0.0130592854763352 0.19 2.00518118139426 0.0135668057745005 0.2 2.00859088274461 0.0139746504312594 0.21 2.01202849894806 0.0142634791241725 0.22 2.01547348612476 0.0144492197844652 0.23 2.01890659336493 0.014555999982297 0.24 2.02231377990478 0.0146175191359435 0.25 2.02568744665134 0.0146583312510955 0.26 2.02902599876381 0.0146952663970803 0.27 2.03233275445864 0.0147495067540696 0.28 2.0356148393525 0.0148328063597748 0.29 2.03888225884338 0.0149598226481131 0.3 2.0421470342967 0.0151400485549938 0.31 2.04542219999956 0.0153825981806352 0.32 2.04872055010407 0.0156824817323446 0.33 2.05205319885567 0.0160273109547562 0.34 2.05542816952154 0.0163968246345667 0.35 2.05884929074112 0.016763930003806 0.36 2.06231563859473 0.0171009320699645 0.37 2.06582164641048 0.0173858648002739 0.38 2.06935786015319 0.0176039069484999 0.39 2.07291218970487 0.0177425307653689 0.4 2.07647142210993 0.0178004656156032 0.41 2.08002272868809 0.0177859601424891 0.42 2.08355490822812 0.0177110959798663 0.43 2.08705915553504 0.0175940741446576 0.44 2.09052922441761 0.0174502755200137 0.45 2.09396096468805 0.0172908517625336 0.46 2.09735134602675 0.0171164615209957 0.47 2.10069721641636 0.016928874870008 0.48 2.1039941439342 0.0167091195144477 0.49 2.107235717817 0.0164467114422657 0.5 2.11041360956323 0.0161208184350724 0.51 2.11351851761605 0.0157276757136472 0.52 2.11654187629851 0.0152705762168796 0.53 2.11947796709069 0.01477120120648 0.54 2.12232590339795 0.0142617051204913 0.55 2.12509092729057 0.0137899292951951 0.56 2.12778457846688 0.0133922884546306 0.57 2.13042354501012 0.0131020202726812 0.58 2.13302731626108 0.0129315525311564 0.59 2.13561504605214 0.0128698572944605 0.6 2.1382022235844 0.0128871465930999 0.61 2.14079779401509 0.012933814033056 0.62 2.1434022684226 0.0129594619590269 0.63 2.14600715093623 0.0129120510643275 0.64 2.14859575403128 0.0127526231337752 0.65 2.15114524161383 0.012457766769986 0.66 2.15362958742057 0.0120174470388963 0.67 2.15602308418425 0.0114444215237415 0.68 2.15830406898578 0.0107655172395773 0.69 2.16045859393348 0.0100229551698944 0.7 2.16248381102599 0.00927358827389324 0.71 2.16439081514041 0.00858553816732839 0.72 2.16620659777381 0.0080373438630749 0.73 2.16797465041178 0.00771176081416806 0.74 2.16975369757061 0.00768688417958659 0.75 2.17161411934992 0.00801498578552521 0.76 2.17363190062925 0.0087034787391848 0.77 2.17588042785502 0.00970589307280962 0.78 2.1784210877217 0.0109264792112646 0.79 2.18129427162166 0.0122381789529027 0.8 2.18451284283187 0.0134988625111149 0.81 2.18806011168392 0.0145694334297059 0.82 2.19189364878684 0.0153451418535935 0.83 2.19595480529277 0.0157750068859547 0.84 2.20018195747491 0.0158768331104564 0.85 2.20452409817973 0.0157311036241954 0.86 2.208951591431 0.0154552325325366 0.87 2.21346346502279 0.0151589843914879 0.88 2.21809498667278 0.0149335215821578 0.89 2.22293268303204 0.0148751548676977 0.9 2.22814146062776 0.0151595437760212 0.91 2.23399521296744 0.0161108817512635 0.92 2.24087954218888 0.0181001997321266 0.93 2.24921975525997 0.0211670770690148 0.94 2.25931622907123 0.0245900646920065 0.95 2.27118013475543 0.0269048284370492 0.96 2.28461624076644 0.0267787289822395 0.97 2.29972682839754 0.0247341797951866 0.98 2.31716778063685 0.0249079909958307 0.99 2.33610522389572 0.0315300811222246

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')