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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 computationWed, 11 Feb 2015 16:46:45 +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/2015/Feb/11/t1423673330hyyfv44ewvxi4z2.htm/, Retrieved Sun, 19 May 2024 03:24:56 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277035, Retrieved Sun, 19 May 2024 03:24:56 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact89

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2015-02-11 16:46:45] [464dfecbd4863ecbf0b1962220ac611d] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
8.41
8.39
8.43
8.44
8.49
8.47
8.53
8.52
8.51
8.53
8.54
8.53
8.47
8.63
8.67
8.73
8.57
8.55
8.63
8.65
8.44
8.62
8.37
8.59
8.84
8.72
8.8
8.69
8.68
8.57
8.85
8.85
8.85
8.93
8.75
8.78
8.77
9.03
9.01
9.07
8.99
9.02
8.99
8.98
8.94
8.94
8.75
8.86
8.87
8.84
8.84
9.91
10.18
10.34
10.36
10.26
10.16
10.31
10.46
10.54
10.47
10.48
10.46
11.3
11.58
11.69
11.63
11.51
11.37
11.42
11.7
11.75
11.43
11.36
11.3
11.85
11.99
12.07
12.21
12.13
12.3
12.27
12.32
12.38
12.4
12.33
12.25
12.41
12.38
12.58
12.45
12.43
12.38
12.34
11.98
12.24

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.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 & 1 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277035&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277035&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277035&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 time1 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.018.380693702536960.0203736299558916
0.028.397015570636310.0222910621322117
0.038.413270296452920.0231236624426999
0.048.427828882977960.0234901927533179
0.058.441002938580650.0248620852787334
0.068.453487302932440.0271393128329733
0.078.465741869424650.0292759865948563
0.088.477837714237740.0304547227900693
0.098.489577853865850.0304470313954454
0.18.500713207073340.029553430325965
0.118.511115401641610.0284416486365025
0.128.520852296150910.0278848439971682
0.138.530170964054630.0284770570733935
0.148.539420196075920.0304033618050665
0.158.548953313533080.0334502841270494
0.168.559047384534760.0371465407770647
0.178.569859997528840.0410055329933806
0.188.581426570303670.0446349554822777
0.198.593687373468280.0478440362414409
0.28.606527747555370.0505129399650442
0.218.619816547426810.0526966216358554
0.228.633433440830810.0545053617953356
0.238.647282053778430.0560311422974768
0.248.661290914860230.0573304488712276
0.258.675406765935550.0584649477052603
0.268.689585143183370.0593964205116645
0.278.703781929009110.0601204494921491
0.288.717947852012860.0605588274174738
0.298.732026541750180.0607039516360197
0.38.74595612199070.0605023563681236
0.318.759674293993340.0599778661663468
0.328.773126932690090.0591543906623523
0.338.786279957342340.058159274340414
0.348.79913357639880.057166794387399
0.358.811737313706820.0564507622864507
0.368.824204086891180.0563879692058553
0.378.836722441164950.057397315882867
0.388.849567729489350.0599305316510766
0.398.863114819265080.064526134072419
0.48.877855619439430.0717899261502336
0.418.89442325341390.0824943076832401
0.428.913620611339980.0976087894441131
0.438.93644498219650.118258204584679
0.448.964094394264420.145512986379402
0.458.997937913007570.180184306253338
0.469.039434152587360.222479216162647
0.479.089991181075820.27159154294407
0.489.150776189896180.325747573646758
0.499.222501483105010.381947160942543
0.59.305229123007890.436365430932764
0.519.398243916757740.484761147238615
0.529.500038815351770.52312873642486
0.539.608437200674250.548484535946193
0.549.720846461272710.559406417268499
0.559.834604173390110.556429681596062
0.569.947351444086440.542040088354389
0.5710.05735578775450.520269507687341
0.5810.16371275701890.4960235936491
0.5910.26638062933480.474092767818213
0.610.36603989456390.458195047759385
0.6110.46380984040990.450054489206912
0.6210.56088802972610.448986607564628
0.6310.65819639256540.452322976789008
0.6410.75611523427860.456141661469999
0.6510.85436392453030.456598300257557
0.6610.95204987181470.450662027167536
0.6711.04786529199790.436834075431449
0.6811.14037570034450.415292950156857
0.6911.22832481290020.387785671978636
0.711.31088250303690.357058066591296
0.7111.387783706890.326303363195575
0.7211.45933869777470.298387025525083
0.7311.5263280143670.275411978932029
0.7411.58981896305520.258286205363997
0.7511.65095025103510.246813623375326
0.7611.71072793143570.239817185620364
0.7711.76986448041570.235510671651357
0.7811.82867937672070.231927144371777
0.7911.88706803692250.227198496688936
0.811.94453748118680.219877715774899
0.8112.00030060302130.209039111613716
0.8212.05341478065650.1944222201792
0.8312.10294408726960.176468744673761
0.8412.14811844070890.156139825403356
0.8512.18846006784210.134821029943515
0.8612.22385053420510.114003151739438
0.8712.25452215907950.0950008988590305
0.8812.28097542913820.07869926018634
0.8912.30384601797440.0653663216051724
0.912.32376585568580.0546966051143732
0.9112.34127373734260.0460282721058176
0.9212.35682001372570.038736482992751
0.9312.37087021143410.0326521527879268
0.9412.38406930915260.0281389932919214
0.9512.39747614209310.0257823067792789
0.9612.41316212013310.0261795553377463
0.9712.43576006072160.0318269979229475
0.9812.47362486305830.051106107723728
0.9912.53042314775810.0904350845057762

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 8.38069370253696 & 0.0203736299558916 \tabularnewline
0.02 & 8.39701557063631 & 0.0222910621322117 \tabularnewline
0.03 & 8.41327029645292 & 0.0231236624426999 \tabularnewline
0.04 & 8.42782888297796 & 0.0234901927533179 \tabularnewline
0.05 & 8.44100293858065 & 0.0248620852787334 \tabularnewline
0.06 & 8.45348730293244 & 0.0271393128329733 \tabularnewline
0.07 & 8.46574186942465 & 0.0292759865948563 \tabularnewline
0.08 & 8.47783771423774 & 0.0304547227900693 \tabularnewline
0.09 & 8.48957785386585 & 0.0304470313954454 \tabularnewline
0.1 & 8.50071320707334 & 0.029553430325965 \tabularnewline
0.11 & 8.51111540164161 & 0.0284416486365025 \tabularnewline
0.12 & 8.52085229615091 & 0.0278848439971682 \tabularnewline
0.13 & 8.53017096405463 & 0.0284770570733935 \tabularnewline
0.14 & 8.53942019607592 & 0.0304033618050665 \tabularnewline
0.15 & 8.54895331353308 & 0.0334502841270494 \tabularnewline
0.16 & 8.55904738453476 & 0.0371465407770647 \tabularnewline
0.17 & 8.56985999752884 & 0.0410055329933806 \tabularnewline
0.18 & 8.58142657030367 & 0.0446349554822777 \tabularnewline
0.19 & 8.59368737346828 & 0.0478440362414409 \tabularnewline
0.2 & 8.60652774755537 & 0.0505129399650442 \tabularnewline
0.21 & 8.61981654742681 & 0.0526966216358554 \tabularnewline
0.22 & 8.63343344083081 & 0.0545053617953356 \tabularnewline
0.23 & 8.64728205377843 & 0.0560311422974768 \tabularnewline
0.24 & 8.66129091486023 & 0.0573304488712276 \tabularnewline
0.25 & 8.67540676593555 & 0.0584649477052603 \tabularnewline
0.26 & 8.68958514318337 & 0.0593964205116645 \tabularnewline
0.27 & 8.70378192900911 & 0.0601204494921491 \tabularnewline
0.28 & 8.71794785201286 & 0.0605588274174738 \tabularnewline
0.29 & 8.73202654175018 & 0.0607039516360197 \tabularnewline
0.3 & 8.7459561219907 & 0.0605023563681236 \tabularnewline
0.31 & 8.75967429399334 & 0.0599778661663468 \tabularnewline
0.32 & 8.77312693269009 & 0.0591543906623523 \tabularnewline
0.33 & 8.78627995734234 & 0.058159274340414 \tabularnewline
0.34 & 8.7991335763988 & 0.057166794387399 \tabularnewline
0.35 & 8.81173731370682 & 0.0564507622864507 \tabularnewline
0.36 & 8.82420408689118 & 0.0563879692058553 \tabularnewline
0.37 & 8.83672244116495 & 0.057397315882867 \tabularnewline
0.38 & 8.84956772948935 & 0.0599305316510766 \tabularnewline
0.39 & 8.86311481926508 & 0.064526134072419 \tabularnewline
0.4 & 8.87785561943943 & 0.0717899261502336 \tabularnewline
0.41 & 8.8944232534139 & 0.0824943076832401 \tabularnewline
0.42 & 8.91362061133998 & 0.0976087894441131 \tabularnewline
0.43 & 8.9364449821965 & 0.118258204584679 \tabularnewline
0.44 & 8.96409439426442 & 0.145512986379402 \tabularnewline
0.45 & 8.99793791300757 & 0.180184306253338 \tabularnewline
0.46 & 9.03943415258736 & 0.222479216162647 \tabularnewline
0.47 & 9.08999118107582 & 0.27159154294407 \tabularnewline
0.48 & 9.15077618989618 & 0.325747573646758 \tabularnewline
0.49 & 9.22250148310501 & 0.381947160942543 \tabularnewline
0.5 & 9.30522912300789 & 0.436365430932764 \tabularnewline
0.51 & 9.39824391675774 & 0.484761147238615 \tabularnewline
0.52 & 9.50003881535177 & 0.52312873642486 \tabularnewline
0.53 & 9.60843720067425 & 0.548484535946193 \tabularnewline
0.54 & 9.72084646127271 & 0.559406417268499 \tabularnewline
0.55 & 9.83460417339011 & 0.556429681596062 \tabularnewline
0.56 & 9.94735144408644 & 0.542040088354389 \tabularnewline
0.57 & 10.0573557877545 & 0.520269507687341 \tabularnewline
0.58 & 10.1637127570189 & 0.4960235936491 \tabularnewline
0.59 & 10.2663806293348 & 0.474092767818213 \tabularnewline
0.6 & 10.3660398945639 & 0.458195047759385 \tabularnewline
0.61 & 10.4638098404099 & 0.450054489206912 \tabularnewline
0.62 & 10.5608880297261 & 0.448986607564628 \tabularnewline
0.63 & 10.6581963925654 & 0.452322976789008 \tabularnewline
0.64 & 10.7561152342786 & 0.456141661469999 \tabularnewline
0.65 & 10.8543639245303 & 0.456598300257557 \tabularnewline
0.66 & 10.9520498718147 & 0.450662027167536 \tabularnewline
0.67 & 11.0478652919979 & 0.436834075431449 \tabularnewline
0.68 & 11.1403757003445 & 0.415292950156857 \tabularnewline
0.69 & 11.2283248129002 & 0.387785671978636 \tabularnewline
0.7 & 11.3108825030369 & 0.357058066591296 \tabularnewline
0.71 & 11.38778370689 & 0.326303363195575 \tabularnewline
0.72 & 11.4593386977747 & 0.298387025525083 \tabularnewline
0.73 & 11.526328014367 & 0.275411978932029 \tabularnewline
0.74 & 11.5898189630552 & 0.258286205363997 \tabularnewline
0.75 & 11.6509502510351 & 0.246813623375326 \tabularnewline
0.76 & 11.7107279314357 & 0.239817185620364 \tabularnewline
0.77 & 11.7698644804157 & 0.235510671651357 \tabularnewline
0.78 & 11.8286793767207 & 0.231927144371777 \tabularnewline
0.79 & 11.8870680369225 & 0.227198496688936 \tabularnewline
0.8 & 11.9445374811868 & 0.219877715774899 \tabularnewline
0.81 & 12.0003006030213 & 0.209039111613716 \tabularnewline
0.82 & 12.0534147806565 & 0.1944222201792 \tabularnewline
0.83 & 12.1029440872696 & 0.176468744673761 \tabularnewline
0.84 & 12.1481184407089 & 0.156139825403356 \tabularnewline
0.85 & 12.1884600678421 & 0.134821029943515 \tabularnewline
0.86 & 12.2238505342051 & 0.114003151739438 \tabularnewline
0.87 & 12.2545221590795 & 0.0950008988590305 \tabularnewline
0.88 & 12.2809754291382 & 0.07869926018634 \tabularnewline
0.89 & 12.3038460179744 & 0.0653663216051724 \tabularnewline
0.9 & 12.3237658556858 & 0.0546966051143732 \tabularnewline
0.91 & 12.3412737373426 & 0.0460282721058176 \tabularnewline
0.92 & 12.3568200137257 & 0.038736482992751 \tabularnewline
0.93 & 12.3708702114341 & 0.0326521527879268 \tabularnewline
0.94 & 12.3840693091526 & 0.0281389932919214 \tabularnewline
0.95 & 12.3974761420931 & 0.0257823067792789 \tabularnewline
0.96 & 12.4131621201331 & 0.0261795553377463 \tabularnewline
0.97 & 12.4357600607216 & 0.0318269979229475 \tabularnewline
0.98 & 12.4736248630583 & 0.051106107723728 \tabularnewline
0.99 & 12.5304231477581 & 0.0904350845057762 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277035&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]8.38069370253696[/C][C]0.0203736299558916[/C][/ROW]
[ROW][C]0.02[/C][C]8.39701557063631[/C][C]0.0222910621322117[/C][/ROW]
[ROW][C]0.03[/C][C]8.41327029645292[/C][C]0.0231236624426999[/C][/ROW]
[ROW][C]0.04[/C][C]8.42782888297796[/C][C]0.0234901927533179[/C][/ROW]
[ROW][C]0.05[/C][C]8.44100293858065[/C][C]0.0248620852787334[/C][/ROW]
[ROW][C]0.06[/C][C]8.45348730293244[/C][C]0.0271393128329733[/C][/ROW]
[ROW][C]0.07[/C][C]8.46574186942465[/C][C]0.0292759865948563[/C][/ROW]
[ROW][C]0.08[/C][C]8.47783771423774[/C][C]0.0304547227900693[/C][/ROW]
[ROW][C]0.09[/C][C]8.48957785386585[/C][C]0.0304470313954454[/C][/ROW]
[ROW][C]0.1[/C][C]8.50071320707334[/C][C]0.029553430325965[/C][/ROW]
[ROW][C]0.11[/C][C]8.51111540164161[/C][C]0.0284416486365025[/C][/ROW]
[ROW][C]0.12[/C][C]8.52085229615091[/C][C]0.0278848439971682[/C][/ROW]
[ROW][C]0.13[/C][C]8.53017096405463[/C][C]0.0284770570733935[/C][/ROW]
[ROW][C]0.14[/C][C]8.53942019607592[/C][C]0.0304033618050665[/C][/ROW]
[ROW][C]0.15[/C][C]8.54895331353308[/C][C]0.0334502841270494[/C][/ROW]
[ROW][C]0.16[/C][C]8.55904738453476[/C][C]0.0371465407770647[/C][/ROW]
[ROW][C]0.17[/C][C]8.56985999752884[/C][C]0.0410055329933806[/C][/ROW]
[ROW][C]0.18[/C][C]8.58142657030367[/C][C]0.0446349554822777[/C][/ROW]
[ROW][C]0.19[/C][C]8.59368737346828[/C][C]0.0478440362414409[/C][/ROW]
[ROW][C]0.2[/C][C]8.60652774755537[/C][C]0.0505129399650442[/C][/ROW]
[ROW][C]0.21[/C][C]8.61981654742681[/C][C]0.0526966216358554[/C][/ROW]
[ROW][C]0.22[/C][C]8.63343344083081[/C][C]0.0545053617953356[/C][/ROW]
[ROW][C]0.23[/C][C]8.64728205377843[/C][C]0.0560311422974768[/C][/ROW]
[ROW][C]0.24[/C][C]8.66129091486023[/C][C]0.0573304488712276[/C][/ROW]
[ROW][C]0.25[/C][C]8.67540676593555[/C][C]0.0584649477052603[/C][/ROW]
[ROW][C]0.26[/C][C]8.68958514318337[/C][C]0.0593964205116645[/C][/ROW]
[ROW][C]0.27[/C][C]8.70378192900911[/C][C]0.0601204494921491[/C][/ROW]
[ROW][C]0.28[/C][C]8.71794785201286[/C][C]0.0605588274174738[/C][/ROW]
[ROW][C]0.29[/C][C]8.73202654175018[/C][C]0.0607039516360197[/C][/ROW]
[ROW][C]0.3[/C][C]8.7459561219907[/C][C]0.0605023563681236[/C][/ROW]
[ROW][C]0.31[/C][C]8.75967429399334[/C][C]0.0599778661663468[/C][/ROW]
[ROW][C]0.32[/C][C]8.77312693269009[/C][C]0.0591543906623523[/C][/ROW]
[ROW][C]0.33[/C][C]8.78627995734234[/C][C]0.058159274340414[/C][/ROW]
[ROW][C]0.34[/C][C]8.7991335763988[/C][C]0.057166794387399[/C][/ROW]
[ROW][C]0.35[/C][C]8.81173731370682[/C][C]0.0564507622864507[/C][/ROW]
[ROW][C]0.36[/C][C]8.82420408689118[/C][C]0.0563879692058553[/C][/ROW]
[ROW][C]0.37[/C][C]8.83672244116495[/C][C]0.057397315882867[/C][/ROW]
[ROW][C]0.38[/C][C]8.84956772948935[/C][C]0.0599305316510766[/C][/ROW]
[ROW][C]0.39[/C][C]8.86311481926508[/C][C]0.064526134072419[/C][/ROW]
[ROW][C]0.4[/C][C]8.87785561943943[/C][C]0.0717899261502336[/C][/ROW]
[ROW][C]0.41[/C][C]8.8944232534139[/C][C]0.0824943076832401[/C][/ROW]
[ROW][C]0.42[/C][C]8.91362061133998[/C][C]0.0976087894441131[/C][/ROW]
[ROW][C]0.43[/C][C]8.9364449821965[/C][C]0.118258204584679[/C][/ROW]
[ROW][C]0.44[/C][C]8.96409439426442[/C][C]0.145512986379402[/C][/ROW]
[ROW][C]0.45[/C][C]8.99793791300757[/C][C]0.180184306253338[/C][/ROW]
[ROW][C]0.46[/C][C]9.03943415258736[/C][C]0.222479216162647[/C][/ROW]
[ROW][C]0.47[/C][C]9.08999118107582[/C][C]0.27159154294407[/C][/ROW]
[ROW][C]0.48[/C][C]9.15077618989618[/C][C]0.325747573646758[/C][/ROW]
[ROW][C]0.49[/C][C]9.22250148310501[/C][C]0.381947160942543[/C][/ROW]
[ROW][C]0.5[/C][C]9.30522912300789[/C][C]0.436365430932764[/C][/ROW]
[ROW][C]0.51[/C][C]9.39824391675774[/C][C]0.484761147238615[/C][/ROW]
[ROW][C]0.52[/C][C]9.50003881535177[/C][C]0.52312873642486[/C][/ROW]
[ROW][C]0.53[/C][C]9.60843720067425[/C][C]0.548484535946193[/C][/ROW]
[ROW][C]0.54[/C][C]9.72084646127271[/C][C]0.559406417268499[/C][/ROW]
[ROW][C]0.55[/C][C]9.83460417339011[/C][C]0.556429681596062[/C][/ROW]
[ROW][C]0.56[/C][C]9.94735144408644[/C][C]0.542040088354389[/C][/ROW]
[ROW][C]0.57[/C][C]10.0573557877545[/C][C]0.520269507687341[/C][/ROW]
[ROW][C]0.58[/C][C]10.1637127570189[/C][C]0.4960235936491[/C][/ROW]
[ROW][C]0.59[/C][C]10.2663806293348[/C][C]0.474092767818213[/C][/ROW]
[ROW][C]0.6[/C][C]10.3660398945639[/C][C]0.458195047759385[/C][/ROW]
[ROW][C]0.61[/C][C]10.4638098404099[/C][C]0.450054489206912[/C][/ROW]
[ROW][C]0.62[/C][C]10.5608880297261[/C][C]0.448986607564628[/C][/ROW]
[ROW][C]0.63[/C][C]10.6581963925654[/C][C]0.452322976789008[/C][/ROW]
[ROW][C]0.64[/C][C]10.7561152342786[/C][C]0.456141661469999[/C][/ROW]
[ROW][C]0.65[/C][C]10.8543639245303[/C][C]0.456598300257557[/C][/ROW]
[ROW][C]0.66[/C][C]10.9520498718147[/C][C]0.450662027167536[/C][/ROW]
[ROW][C]0.67[/C][C]11.0478652919979[/C][C]0.436834075431449[/C][/ROW]
[ROW][C]0.68[/C][C]11.1403757003445[/C][C]0.415292950156857[/C][/ROW]
[ROW][C]0.69[/C][C]11.2283248129002[/C][C]0.387785671978636[/C][/ROW]
[ROW][C]0.7[/C][C]11.3108825030369[/C][C]0.357058066591296[/C][/ROW]
[ROW][C]0.71[/C][C]11.38778370689[/C][C]0.326303363195575[/C][/ROW]
[ROW][C]0.72[/C][C]11.4593386977747[/C][C]0.298387025525083[/C][/ROW]
[ROW][C]0.73[/C][C]11.526328014367[/C][C]0.275411978932029[/C][/ROW]
[ROW][C]0.74[/C][C]11.5898189630552[/C][C]0.258286205363997[/C][/ROW]
[ROW][C]0.75[/C][C]11.6509502510351[/C][C]0.246813623375326[/C][/ROW]
[ROW][C]0.76[/C][C]11.7107279314357[/C][C]0.239817185620364[/C][/ROW]
[ROW][C]0.77[/C][C]11.7698644804157[/C][C]0.235510671651357[/C][/ROW]
[ROW][C]0.78[/C][C]11.8286793767207[/C][C]0.231927144371777[/C][/ROW]
[ROW][C]0.79[/C][C]11.8870680369225[/C][C]0.227198496688936[/C][/ROW]
[ROW][C]0.8[/C][C]11.9445374811868[/C][C]0.219877715774899[/C][/ROW]
[ROW][C]0.81[/C][C]12.0003006030213[/C][C]0.209039111613716[/C][/ROW]
[ROW][C]0.82[/C][C]12.0534147806565[/C][C]0.1944222201792[/C][/ROW]
[ROW][C]0.83[/C][C]12.1029440872696[/C][C]0.176468744673761[/C][/ROW]
[ROW][C]0.84[/C][C]12.1481184407089[/C][C]0.156139825403356[/C][/ROW]
[ROW][C]0.85[/C][C]12.1884600678421[/C][C]0.134821029943515[/C][/ROW]
[ROW][C]0.86[/C][C]12.2238505342051[/C][C]0.114003151739438[/C][/ROW]
[ROW][C]0.87[/C][C]12.2545221590795[/C][C]0.0950008988590305[/C][/ROW]
[ROW][C]0.88[/C][C]12.2809754291382[/C][C]0.07869926018634[/C][/ROW]
[ROW][C]0.89[/C][C]12.3038460179744[/C][C]0.0653663216051724[/C][/ROW]
[ROW][C]0.9[/C][C]12.3237658556858[/C][C]0.0546966051143732[/C][/ROW]
[ROW][C]0.91[/C][C]12.3412737373426[/C][C]0.0460282721058176[/C][/ROW]
[ROW][C]0.92[/C][C]12.3568200137257[/C][C]0.038736482992751[/C][/ROW]
[ROW][C]0.93[/C][C]12.3708702114341[/C][C]0.0326521527879268[/C][/ROW]
[ROW][C]0.94[/C][C]12.3840693091526[/C][C]0.0281389932919214[/C][/ROW]
[ROW][C]0.95[/C][C]12.3974761420931[/C][C]0.0257823067792789[/C][/ROW]
[ROW][C]0.96[/C][C]12.4131621201331[/C][C]0.0261795553377463[/C][/ROW]
[ROW][C]0.97[/C][C]12.4357600607216[/C][C]0.0318269979229475[/C][/ROW]
[ROW][C]0.98[/C][C]12.4736248630583[/C][C]0.051106107723728[/C][/ROW]
[ROW][C]0.99[/C][C]12.5304231477581[/C][C]0.0904350845057762[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277035&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277035&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
0.018.380693702536960.0203736299558916
0.028.397015570636310.0222910621322117
0.038.413270296452920.0231236624426999
0.048.427828882977960.0234901927533179
0.058.441002938580650.0248620852787334
0.068.453487302932440.0271393128329733
0.078.465741869424650.0292759865948563
0.088.477837714237740.0304547227900693
0.098.489577853865850.0304470313954454
0.18.500713207073340.029553430325965
0.118.511115401641610.0284416486365025
0.128.520852296150910.0278848439971682
0.138.530170964054630.0284770570733935
0.148.539420196075920.0304033618050665
0.158.548953313533080.0334502841270494
0.168.559047384534760.0371465407770647
0.178.569859997528840.0410055329933806
0.188.581426570303670.0446349554822777
0.198.593687373468280.0478440362414409
0.28.606527747555370.0505129399650442
0.218.619816547426810.0526966216358554
0.228.633433440830810.0545053617953356
0.238.647282053778430.0560311422974768
0.248.661290914860230.0573304488712276
0.258.675406765935550.0584649477052603
0.268.689585143183370.0593964205116645
0.278.703781929009110.0601204494921491
0.288.717947852012860.0605588274174738
0.298.732026541750180.0607039516360197
0.38.74595612199070.0605023563681236
0.318.759674293993340.0599778661663468
0.328.773126932690090.0591543906623523
0.338.786279957342340.058159274340414
0.348.79913357639880.057166794387399
0.358.811737313706820.0564507622864507
0.368.824204086891180.0563879692058553
0.378.836722441164950.057397315882867
0.388.849567729489350.0599305316510766
0.398.863114819265080.064526134072419
0.48.877855619439430.0717899261502336
0.418.89442325341390.0824943076832401
0.428.913620611339980.0976087894441131
0.438.93644498219650.118258204584679
0.448.964094394264420.145512986379402
0.458.997937913007570.180184306253338
0.469.039434152587360.222479216162647
0.479.089991181075820.27159154294407
0.489.150776189896180.325747573646758
0.499.222501483105010.381947160942543
0.59.305229123007890.436365430932764
0.519.398243916757740.484761147238615
0.529.500038815351770.52312873642486
0.539.608437200674250.548484535946193
0.549.720846461272710.559406417268499
0.559.834604173390110.556429681596062
0.569.947351444086440.542040088354389
0.5710.05735578775450.520269507687341
0.5810.16371275701890.4960235936491
0.5910.26638062933480.474092767818213
0.610.36603989456390.458195047759385
0.6110.46380984040990.450054489206912
0.6210.56088802972610.448986607564628
0.6310.65819639256540.452322976789008
0.6410.75611523427860.456141661469999
0.6510.85436392453030.456598300257557
0.6610.95204987181470.450662027167536
0.6711.04786529199790.436834075431449
0.6811.14037570034450.415292950156857
0.6911.22832481290020.387785671978636
0.711.31088250303690.357058066591296
0.7111.387783706890.326303363195575
0.7211.45933869777470.298387025525083
0.7311.5263280143670.275411978932029
0.7411.58981896305520.258286205363997
0.7511.65095025103510.246813623375326
0.7611.71072793143570.239817185620364
0.7711.76986448041570.235510671651357
0.7811.82867937672070.231927144371777
0.7911.88706803692250.227198496688936
0.811.94453748118680.219877715774899
0.8112.00030060302130.209039111613716
0.8212.05341478065650.1944222201792
0.8312.10294408726960.176468744673761
0.8412.14811844070890.156139825403356
0.8512.18846006784210.134821029943515
0.8612.22385053420510.114003151739438
0.8712.25452215907950.0950008988590305
0.8812.28097542913820.07869926018634
0.8912.30384601797440.0653663216051724
0.912.32376585568580.0546966051143732
0.9112.34127373734260.0460282721058176
0.9212.35682001372570.038736482992751
0.9312.37087021143410.0326521527879268
0.9412.38406930915260.0281389932919214
0.9512.39747614209310.0257823067792789
0.9612.41316212013310.0261795553377463
0.9712.43576006072160.0318269979229475
0.9812.47362486305830.051106107723728
0.9912.53042314775810.0904350845057762


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.1 ; par2 = 0.9 ; par3 = 0.001 ;
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')