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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, 08 Oct 2014 09:13:06 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Oct/08/t1412756098aw2l3p9wzxgprgt.htm/, Retrieved Sat, 11 May 2024 18:50:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=239441, Retrieved Sat, 11 May 2024 18:50:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129

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] [] [2014-10-08 07:55:00] [6810af6d6f20a73d913783292b34521a]
-    D  [Harrell-Davis Quantiles] [] [2014-10-08 08:08:07] [6810af6d6f20a73d913783292b34521a]
- R PD      [Harrell-Davis Quantiles] [] [2014-10-08 08:13:06] [10cb439e718ee6ebb3ca27a8e32cf1a7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
27.88
28.06
28.08
28.12
28.11
28.18
28.2
28.37
28.64
28.75
28.97
29.08
29.16
29.24
29.36
29.35
29.43
29.49
29.61
29.66
29.75
29.74
29.97
30.02
30.09
30.16
30.33
30.41
30.44
30.45
30.46
30.51
30.54
30.82
30.88
30.89
31.13
31.41
31.47
31.56
31.62
31.65
31.79
31.98
32.14
32.32
32.5
32.55
32.66
32.68
32.72
32.8
32.93
32.96
32.98
33.09
33.46
33.65
33.82
33.83
33.92
33.87
34.03
34.11
34.29
34.44
34.64
34.77
35.01
35.19
35.32
35.35

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'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 & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239441&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239441&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239441&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'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0127.92748577674220.139563133264428
0.0227.98991868313840.0942170722276434
0.0328.04398270925570.0662681516445429
0.0428.08593856596490.065142959521427
0.0528.12271153365160.0862818714211995
0.0628.16236488286180.12218474216122
0.0728.21054484436660.167607043564862
0.0828.27017914622790.217280534507597
0.0928.34191086980690.265374079428825
0.128.4245455187710.306352397838357
0.1128.51553928497810.336318715203639
0.1228.61158269366440.353423660858307
0.1328.70921219149560.358067409326118
0.1428.80533266696860.352276784993974
0.1528.89756435597640.339103068505978
0.1628.98438995757110.32170333241769
0.1729.0651317250660.303055941614234
0.1829.13981606196250.285570948381553
0.1929.2089855853060.270907439181526
0.229.27350559904060.259991984670552
0.2129.33439400873260.25327352853048
0.2229.392687847750.250604844759769
0.2329.44934853183550.251530713933344
0.2429.5052016723120.255366220320844
0.2529.56090456703240.261321621471669
0.2629.61693408670910.268642847258223
0.2729.67358863861620.276578953240886
0.2829.73099957522290.2843167148748
0.2929.78914932696210.291264466431043
0.329.84789523439720.296835157016646
0.3129.90699915363420.300676532673234
0.3229.96616315959970.302501732988864
0.3330.02507102943360.302322868628714
0.3430.08343383941530.300383211100055
0.3530.14103633698620.297189367087755
0.3630.19777924779770.293548783098685
0.3730.25371183465620.290379545599349
0.3830.30904920732290.28880758685874
0.3930.36417023952460.289841477060795
0.430.4195943648640.294369386908546
0.4130.47593862017970.302843149729451
0.4230.53385951964470.315336461810122
0.4330.59398704594580.331337434467174
0.4430.65685968110310.350056650572229
0.4530.72286960961340.370315521477662
0.4630.7922259187730.390830329064853
0.4730.86494097971810.410392460249743
0.4830.94084163315350.427960880418189
0.4931.01960289368040.442745819211432
0.531.10079825757740.454387943217008
0.5131.1839579597960.462910937211477
0.5231.26862518068090.468596936935155
0.5331.35440056899270.472061688246069
0.5431.44096757973220.473994055114048
0.5531.52809475987980.475018093835144
0.5631.6156156660070.475553610807228
0.5731.70339172357150.475621648579922
0.5831.79126709238720.47507463610331
0.5931.87902664340720.473297162125483
0.631.96636795477620.469509543755083
0.6132.05289575262730.463154216223313
0.6232.13814292479850.453668164442379
0.6332.22161701199750.44092283141689
0.6432.30286601484360.425239937959159
0.6532.38155344375240.407444965722683
0.6632.45753043906460.388718522020901
0.6732.53089268208220.3705945966567
0.6832.60201144039220.354717788840162
0.6932.67153092839330.342735111744375
0.732.74032772748430.335957593756046
0.7132.80943207017760.335142693556535
0.7232.87991543267450.340344562580929
0.7332.95275430006880.35066184466521
0.7433.02868606944310.364410733909862
0.7533.10807900219910.37923433316315
0.7633.19084215641190.392397314360379
0.7733.27640091493380.401233112105695
0.7833.3637568952820.403620388227058
0.7933.45163693407540.398384929727481
0.833.53871619753570.38559242773077
0.8133.62387971520430.366641223203107
0.8233.70647099918060.344226128949529
0.8333.78647193347530.321778351890116
0.8433.86456826360720.302930068081608
0.8533.94207893748440.290620954662304
0.8634.02075979620660.286351614955943
0.8734.10252392653860.289740225284648
0.8834.18914249194860.298720024451512
0.8934.28199232743840.310335327306343
0.934.38189465760280.321479138170822
0.9134.48904416124630.329622534133838
0.9234.60297157115670.332796260012165
0.9334.72244258607980.329401303410989
0.9434.84520685001920.317483398994349
0.9534.96760164577660.29424535567041
0.9635.08418513303520.256643411518729
0.9735.18777081831980.203032939836394
0.9835.27033159017590.136292519284256
0.9935.32510661838280.0691850592195166

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 27.9274857767422 & 0.139563133264428 \tabularnewline
0.02 & 27.9899186831384 & 0.0942170722276434 \tabularnewline
0.03 & 28.0439827092557 & 0.0662681516445429 \tabularnewline
0.04 & 28.0859385659649 & 0.065142959521427 \tabularnewline
0.05 & 28.1227115336516 & 0.0862818714211995 \tabularnewline
0.06 & 28.1623648828618 & 0.12218474216122 \tabularnewline
0.07 & 28.2105448443666 & 0.167607043564862 \tabularnewline
0.08 & 28.2701791462279 & 0.217280534507597 \tabularnewline
0.09 & 28.3419108698069 & 0.265374079428825 \tabularnewline
0.1 & 28.424545518771 & 0.306352397838357 \tabularnewline
0.11 & 28.5155392849781 & 0.336318715203639 \tabularnewline
0.12 & 28.6115826936644 & 0.353423660858307 \tabularnewline
0.13 & 28.7092121914956 & 0.358067409326118 \tabularnewline
0.14 & 28.8053326669686 & 0.352276784993974 \tabularnewline
0.15 & 28.8975643559764 & 0.339103068505978 \tabularnewline
0.16 & 28.9843899575711 & 0.32170333241769 \tabularnewline
0.17 & 29.065131725066 & 0.303055941614234 \tabularnewline
0.18 & 29.1398160619625 & 0.285570948381553 \tabularnewline
0.19 & 29.208985585306 & 0.270907439181526 \tabularnewline
0.2 & 29.2735055990406 & 0.259991984670552 \tabularnewline
0.21 & 29.3343940087326 & 0.25327352853048 \tabularnewline
0.22 & 29.39268784775 & 0.250604844759769 \tabularnewline
0.23 & 29.4493485318355 & 0.251530713933344 \tabularnewline
0.24 & 29.505201672312 & 0.255366220320844 \tabularnewline
0.25 & 29.5609045670324 & 0.261321621471669 \tabularnewline
0.26 & 29.6169340867091 & 0.268642847258223 \tabularnewline
0.27 & 29.6735886386162 & 0.276578953240886 \tabularnewline
0.28 & 29.7309995752229 & 0.2843167148748 \tabularnewline
0.29 & 29.7891493269621 & 0.291264466431043 \tabularnewline
0.3 & 29.8478952343972 & 0.296835157016646 \tabularnewline
0.31 & 29.9069991536342 & 0.300676532673234 \tabularnewline
0.32 & 29.9661631595997 & 0.302501732988864 \tabularnewline
0.33 & 30.0250710294336 & 0.302322868628714 \tabularnewline
0.34 & 30.0834338394153 & 0.300383211100055 \tabularnewline
0.35 & 30.1410363369862 & 0.297189367087755 \tabularnewline
0.36 & 30.1977792477977 & 0.293548783098685 \tabularnewline
0.37 & 30.2537118346562 & 0.290379545599349 \tabularnewline
0.38 & 30.3090492073229 & 0.28880758685874 \tabularnewline
0.39 & 30.3641702395246 & 0.289841477060795 \tabularnewline
0.4 & 30.419594364864 & 0.294369386908546 \tabularnewline
0.41 & 30.4759386201797 & 0.302843149729451 \tabularnewline
0.42 & 30.5338595196447 & 0.315336461810122 \tabularnewline
0.43 & 30.5939870459458 & 0.331337434467174 \tabularnewline
0.44 & 30.6568596811031 & 0.350056650572229 \tabularnewline
0.45 & 30.7228696096134 & 0.370315521477662 \tabularnewline
0.46 & 30.792225918773 & 0.390830329064853 \tabularnewline
0.47 & 30.8649409797181 & 0.410392460249743 \tabularnewline
0.48 & 30.9408416331535 & 0.427960880418189 \tabularnewline
0.49 & 31.0196028936804 & 0.442745819211432 \tabularnewline
0.5 & 31.1007982575774 & 0.454387943217008 \tabularnewline
0.51 & 31.183957959796 & 0.462910937211477 \tabularnewline
0.52 & 31.2686251806809 & 0.468596936935155 \tabularnewline
0.53 & 31.3544005689927 & 0.472061688246069 \tabularnewline
0.54 & 31.4409675797322 & 0.473994055114048 \tabularnewline
0.55 & 31.5280947598798 & 0.475018093835144 \tabularnewline
0.56 & 31.615615666007 & 0.475553610807228 \tabularnewline
0.57 & 31.7033917235715 & 0.475621648579922 \tabularnewline
0.58 & 31.7912670923872 & 0.47507463610331 \tabularnewline
0.59 & 31.8790266434072 & 0.473297162125483 \tabularnewline
0.6 & 31.9663679547762 & 0.469509543755083 \tabularnewline
0.61 & 32.0528957526273 & 0.463154216223313 \tabularnewline
0.62 & 32.1381429247985 & 0.453668164442379 \tabularnewline
0.63 & 32.2216170119975 & 0.44092283141689 \tabularnewline
0.64 & 32.3028660148436 & 0.425239937959159 \tabularnewline
0.65 & 32.3815534437524 & 0.407444965722683 \tabularnewline
0.66 & 32.4575304390646 & 0.388718522020901 \tabularnewline
0.67 & 32.5308926820822 & 0.3705945966567 \tabularnewline
0.68 & 32.6020114403922 & 0.354717788840162 \tabularnewline
0.69 & 32.6715309283933 & 0.342735111744375 \tabularnewline
0.7 & 32.7403277274843 & 0.335957593756046 \tabularnewline
0.71 & 32.8094320701776 & 0.335142693556535 \tabularnewline
0.72 & 32.8799154326745 & 0.340344562580929 \tabularnewline
0.73 & 32.9527543000688 & 0.35066184466521 \tabularnewline
0.74 & 33.0286860694431 & 0.364410733909862 \tabularnewline
0.75 & 33.1080790021991 & 0.37923433316315 \tabularnewline
0.76 & 33.1908421564119 & 0.392397314360379 \tabularnewline
0.77 & 33.2764009149338 & 0.401233112105695 \tabularnewline
0.78 & 33.363756895282 & 0.403620388227058 \tabularnewline
0.79 & 33.4516369340754 & 0.398384929727481 \tabularnewline
0.8 & 33.5387161975357 & 0.38559242773077 \tabularnewline
0.81 & 33.6238797152043 & 0.366641223203107 \tabularnewline
0.82 & 33.7064709991806 & 0.344226128949529 \tabularnewline
0.83 & 33.7864719334753 & 0.321778351890116 \tabularnewline
0.84 & 33.8645682636072 & 0.302930068081608 \tabularnewline
0.85 & 33.9420789374844 & 0.290620954662304 \tabularnewline
0.86 & 34.0207597962066 & 0.286351614955943 \tabularnewline
0.87 & 34.1025239265386 & 0.289740225284648 \tabularnewline
0.88 & 34.1891424919486 & 0.298720024451512 \tabularnewline
0.89 & 34.2819923274384 & 0.310335327306343 \tabularnewline
0.9 & 34.3818946576028 & 0.321479138170822 \tabularnewline
0.91 & 34.4890441612463 & 0.329622534133838 \tabularnewline
0.92 & 34.6029715711567 & 0.332796260012165 \tabularnewline
0.93 & 34.7224425860798 & 0.329401303410989 \tabularnewline
0.94 & 34.8452068500192 & 0.317483398994349 \tabularnewline
0.95 & 34.9676016457766 & 0.29424535567041 \tabularnewline
0.96 & 35.0841851330352 & 0.256643411518729 \tabularnewline
0.97 & 35.1877708183198 & 0.203032939836394 \tabularnewline
0.98 & 35.2703315901759 & 0.136292519284256 \tabularnewline
0.99 & 35.3251066183828 & 0.0691850592195166 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=239441&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]27.9274857767422[/C][C]0.139563133264428[/C][/ROW]
[ROW][C]0.02[/C][C]27.9899186831384[/C][C]0.0942170722276434[/C][/ROW]
[ROW][C]0.03[/C][C]28.0439827092557[/C][C]0.0662681516445429[/C][/ROW]
[ROW][C]0.04[/C][C]28.0859385659649[/C][C]0.065142959521427[/C][/ROW]
[ROW][C]0.05[/C][C]28.1227115336516[/C][C]0.0862818714211995[/C][/ROW]
[ROW][C]0.06[/C][C]28.1623648828618[/C][C]0.12218474216122[/C][/ROW]
[ROW][C]0.07[/C][C]28.2105448443666[/C][C]0.167607043564862[/C][/ROW]
[ROW][C]0.08[/C][C]28.2701791462279[/C][C]0.217280534507597[/C][/ROW]
[ROW][C]0.09[/C][C]28.3419108698069[/C][C]0.265374079428825[/C][/ROW]
[ROW][C]0.1[/C][C]28.424545518771[/C][C]0.306352397838357[/C][/ROW]
[ROW][C]0.11[/C][C]28.5155392849781[/C][C]0.336318715203639[/C][/ROW]
[ROW][C]0.12[/C][C]28.6115826936644[/C][C]0.353423660858307[/C][/ROW]
[ROW][C]0.13[/C][C]28.7092121914956[/C][C]0.358067409326118[/C][/ROW]
[ROW][C]0.14[/C][C]28.8053326669686[/C][C]0.352276784993974[/C][/ROW]
[ROW][C]0.15[/C][C]28.8975643559764[/C][C]0.339103068505978[/C][/ROW]
[ROW][C]0.16[/C][C]28.9843899575711[/C][C]0.32170333241769[/C][/ROW]
[ROW][C]0.17[/C][C]29.065131725066[/C][C]0.303055941614234[/C][/ROW]
[ROW][C]0.18[/C][C]29.1398160619625[/C][C]0.285570948381553[/C][/ROW]
[ROW][C]0.19[/C][C]29.208985585306[/C][C]0.270907439181526[/C][/ROW]
[ROW][C]0.2[/C][C]29.2735055990406[/C][C]0.259991984670552[/C][/ROW]
[ROW][C]0.21[/C][C]29.3343940087326[/C][C]0.25327352853048[/C][/ROW]
[ROW][C]0.22[/C][C]29.39268784775[/C][C]0.250604844759769[/C][/ROW]
[ROW][C]0.23[/C][C]29.4493485318355[/C][C]0.251530713933344[/C][/ROW]
[ROW][C]0.24[/C][C]29.505201672312[/C][C]0.255366220320844[/C][/ROW]
[ROW][C]0.25[/C][C]29.5609045670324[/C][C]0.261321621471669[/C][/ROW]
[ROW][C]0.26[/C][C]29.6169340867091[/C][C]0.268642847258223[/C][/ROW]
[ROW][C]0.27[/C][C]29.6735886386162[/C][C]0.276578953240886[/C][/ROW]
[ROW][C]0.28[/C][C]29.7309995752229[/C][C]0.2843167148748[/C][/ROW]
[ROW][C]0.29[/C][C]29.7891493269621[/C][C]0.291264466431043[/C][/ROW]
[ROW][C]0.3[/C][C]29.8478952343972[/C][C]0.296835157016646[/C][/ROW]
[ROW][C]0.31[/C][C]29.9069991536342[/C][C]0.300676532673234[/C][/ROW]
[ROW][C]0.32[/C][C]29.9661631595997[/C][C]0.302501732988864[/C][/ROW]
[ROW][C]0.33[/C][C]30.0250710294336[/C][C]0.302322868628714[/C][/ROW]
[ROW][C]0.34[/C][C]30.0834338394153[/C][C]0.300383211100055[/C][/ROW]
[ROW][C]0.35[/C][C]30.1410363369862[/C][C]0.297189367087755[/C][/ROW]
[ROW][C]0.36[/C][C]30.1977792477977[/C][C]0.293548783098685[/C][/ROW]
[ROW][C]0.37[/C][C]30.2537118346562[/C][C]0.290379545599349[/C][/ROW]
[ROW][C]0.38[/C][C]30.3090492073229[/C][C]0.28880758685874[/C][/ROW]
[ROW][C]0.39[/C][C]30.3641702395246[/C][C]0.289841477060795[/C][/ROW]
[ROW][C]0.4[/C][C]30.419594364864[/C][C]0.294369386908546[/C][/ROW]
[ROW][C]0.41[/C][C]30.4759386201797[/C][C]0.302843149729451[/C][/ROW]
[ROW][C]0.42[/C][C]30.5338595196447[/C][C]0.315336461810122[/C][/ROW]
[ROW][C]0.43[/C][C]30.5939870459458[/C][C]0.331337434467174[/C][/ROW]
[ROW][C]0.44[/C][C]30.6568596811031[/C][C]0.350056650572229[/C][/ROW]
[ROW][C]0.45[/C][C]30.7228696096134[/C][C]0.370315521477662[/C][/ROW]
[ROW][C]0.46[/C][C]30.792225918773[/C][C]0.390830329064853[/C][/ROW]
[ROW][C]0.47[/C][C]30.8649409797181[/C][C]0.410392460249743[/C][/ROW]
[ROW][C]0.48[/C][C]30.9408416331535[/C][C]0.427960880418189[/C][/ROW]
[ROW][C]0.49[/C][C]31.0196028936804[/C][C]0.442745819211432[/C][/ROW]
[ROW][C]0.5[/C][C]31.1007982575774[/C][C]0.454387943217008[/C][/ROW]
[ROW][C]0.51[/C][C]31.183957959796[/C][C]0.462910937211477[/C][/ROW]
[ROW][C]0.52[/C][C]31.2686251806809[/C][C]0.468596936935155[/C][/ROW]
[ROW][C]0.53[/C][C]31.3544005689927[/C][C]0.472061688246069[/C][/ROW]
[ROW][C]0.54[/C][C]31.4409675797322[/C][C]0.473994055114048[/C][/ROW]
[ROW][C]0.55[/C][C]31.5280947598798[/C][C]0.475018093835144[/C][/ROW]
[ROW][C]0.56[/C][C]31.615615666007[/C][C]0.475553610807228[/C][/ROW]
[ROW][C]0.57[/C][C]31.7033917235715[/C][C]0.475621648579922[/C][/ROW]
[ROW][C]0.58[/C][C]31.7912670923872[/C][C]0.47507463610331[/C][/ROW]
[ROW][C]0.59[/C][C]31.8790266434072[/C][C]0.473297162125483[/C][/ROW]
[ROW][C]0.6[/C][C]31.9663679547762[/C][C]0.469509543755083[/C][/ROW]
[ROW][C]0.61[/C][C]32.0528957526273[/C][C]0.463154216223313[/C][/ROW]
[ROW][C]0.62[/C][C]32.1381429247985[/C][C]0.453668164442379[/C][/ROW]
[ROW][C]0.63[/C][C]32.2216170119975[/C][C]0.44092283141689[/C][/ROW]
[ROW][C]0.64[/C][C]32.3028660148436[/C][C]0.425239937959159[/C][/ROW]
[ROW][C]0.65[/C][C]32.3815534437524[/C][C]0.407444965722683[/C][/ROW]
[ROW][C]0.66[/C][C]32.4575304390646[/C][C]0.388718522020901[/C][/ROW]
[ROW][C]0.67[/C][C]32.5308926820822[/C][C]0.3705945966567[/C][/ROW]
[ROW][C]0.68[/C][C]32.6020114403922[/C][C]0.354717788840162[/C][/ROW]
[ROW][C]0.69[/C][C]32.6715309283933[/C][C]0.342735111744375[/C][/ROW]
[ROW][C]0.7[/C][C]32.7403277274843[/C][C]0.335957593756046[/C][/ROW]
[ROW][C]0.71[/C][C]32.8094320701776[/C][C]0.335142693556535[/C][/ROW]
[ROW][C]0.72[/C][C]32.8799154326745[/C][C]0.340344562580929[/C][/ROW]
[ROW][C]0.73[/C][C]32.9527543000688[/C][C]0.35066184466521[/C][/ROW]
[ROW][C]0.74[/C][C]33.0286860694431[/C][C]0.364410733909862[/C][/ROW]
[ROW][C]0.75[/C][C]33.1080790021991[/C][C]0.37923433316315[/C][/ROW]
[ROW][C]0.76[/C][C]33.1908421564119[/C][C]0.392397314360379[/C][/ROW]
[ROW][C]0.77[/C][C]33.2764009149338[/C][C]0.401233112105695[/C][/ROW]
[ROW][C]0.78[/C][C]33.363756895282[/C][C]0.403620388227058[/C][/ROW]
[ROW][C]0.79[/C][C]33.4516369340754[/C][C]0.398384929727481[/C][/ROW]
[ROW][C]0.8[/C][C]33.5387161975357[/C][C]0.38559242773077[/C][/ROW]
[ROW][C]0.81[/C][C]33.6238797152043[/C][C]0.366641223203107[/C][/ROW]
[ROW][C]0.82[/C][C]33.7064709991806[/C][C]0.344226128949529[/C][/ROW]
[ROW][C]0.83[/C][C]33.7864719334753[/C][C]0.321778351890116[/C][/ROW]
[ROW][C]0.84[/C][C]33.8645682636072[/C][C]0.302930068081608[/C][/ROW]
[ROW][C]0.85[/C][C]33.9420789374844[/C][C]0.290620954662304[/C][/ROW]
[ROW][C]0.86[/C][C]34.0207597962066[/C][C]0.286351614955943[/C][/ROW]
[ROW][C]0.87[/C][C]34.1025239265386[/C][C]0.289740225284648[/C][/ROW]
[ROW][C]0.88[/C][C]34.1891424919486[/C][C]0.298720024451512[/C][/ROW]
[ROW][C]0.89[/C][C]34.2819923274384[/C][C]0.310335327306343[/C][/ROW]
[ROW][C]0.9[/C][C]34.3818946576028[/C][C]0.321479138170822[/C][/ROW]
[ROW][C]0.91[/C][C]34.4890441612463[/C][C]0.329622534133838[/C][/ROW]
[ROW][C]0.92[/C][C]34.6029715711567[/C][C]0.332796260012165[/C][/ROW]
[ROW][C]0.93[/C][C]34.7224425860798[/C][C]0.329401303410989[/C][/ROW]
[ROW][C]0.94[/C][C]34.8452068500192[/C][C]0.317483398994349[/C][/ROW]
[ROW][C]0.95[/C][C]34.9676016457766[/C][C]0.29424535567041[/C][/ROW]
[ROW][C]0.96[/C][C]35.0841851330352[/C][C]0.256643411518729[/C][/ROW]
[ROW][C]0.97[/C][C]35.1877708183198[/C][C]0.203032939836394[/C][/ROW]
[ROW][C]0.98[/C][C]35.2703315901759[/C][C]0.136292519284256[/C][/ROW]
[ROW][C]0.99[/C][C]35.3251066183828[/C][C]0.0691850592195166[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=239441&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=239441&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
0.0127.92748577674220.139563133264428
0.0227.98991868313840.0942170722276434
0.0328.04398270925570.0662681516445429
0.0428.08593856596490.065142959521427
0.0528.12271153365160.0862818714211995
0.0628.16236488286180.12218474216122
0.0728.21054484436660.167607043564862
0.0828.27017914622790.217280534507597
0.0928.34191086980690.265374079428825
0.128.4245455187710.306352397838357
0.1128.51553928497810.336318715203639
0.1228.61158269366440.353423660858307
0.1328.70921219149560.358067409326118
0.1428.80533266696860.352276784993974
0.1528.89756435597640.339103068505978
0.1628.98438995757110.32170333241769
0.1729.0651317250660.303055941614234
0.1829.13981606196250.285570948381553
0.1929.2089855853060.270907439181526
0.229.27350559904060.259991984670552
0.2129.33439400873260.25327352853048
0.2229.392687847750.250604844759769
0.2329.44934853183550.251530713933344
0.2429.5052016723120.255366220320844
0.2529.56090456703240.261321621471669
0.2629.61693408670910.268642847258223
0.2729.67358863861620.276578953240886
0.2829.73099957522290.2843167148748
0.2929.78914932696210.291264466431043
0.329.84789523439720.296835157016646
0.3129.90699915363420.300676532673234
0.3229.96616315959970.302501732988864
0.3330.02507102943360.302322868628714
0.3430.08343383941530.300383211100055
0.3530.14103633698620.297189367087755
0.3630.19777924779770.293548783098685
0.3730.25371183465620.290379545599349
0.3830.30904920732290.28880758685874
0.3930.36417023952460.289841477060795
0.430.4195943648640.294369386908546
0.4130.47593862017970.302843149729451
0.4230.53385951964470.315336461810122
0.4330.59398704594580.331337434467174
0.4430.65685968110310.350056650572229
0.4530.72286960961340.370315521477662
0.4630.7922259187730.390830329064853
0.4730.86494097971810.410392460249743
0.4830.94084163315350.427960880418189
0.4931.01960289368040.442745819211432
0.531.10079825757740.454387943217008
0.5131.1839579597960.462910937211477
0.5231.26862518068090.468596936935155
0.5331.35440056899270.472061688246069
0.5431.44096757973220.473994055114048
0.5531.52809475987980.475018093835144
0.5631.6156156660070.475553610807228
0.5731.70339172357150.475621648579922
0.5831.79126709238720.47507463610331
0.5931.87902664340720.473297162125483
0.631.96636795477620.469509543755083
0.6132.05289575262730.463154216223313
0.6232.13814292479850.453668164442379
0.6332.22161701199750.44092283141689
0.6432.30286601484360.425239937959159
0.6532.38155344375240.407444965722683
0.6632.45753043906460.388718522020901
0.6732.53089268208220.3705945966567
0.6832.60201144039220.354717788840162
0.6932.67153092839330.342735111744375
0.732.74032772748430.335957593756046
0.7132.80943207017760.335142693556535
0.7232.87991543267450.340344562580929
0.7332.95275430006880.35066184466521
0.7433.02868606944310.364410733909862
0.7533.10807900219910.37923433316315
0.7633.19084215641190.392397314360379
0.7733.27640091493380.401233112105695
0.7833.3637568952820.403620388227058
0.7933.45163693407540.398384929727481
0.833.53871619753570.38559242773077
0.8133.62387971520430.366641223203107
0.8233.70647099918060.344226128949529
0.8333.78647193347530.321778351890116
0.8433.86456826360720.302930068081608
0.8533.94207893748440.290620954662304
0.8634.02075979620660.286351614955943
0.8734.10252392653860.289740225284648
0.8834.18914249194860.298720024451512
0.8934.28199232743840.310335327306343
0.934.38189465760280.321479138170822
0.9134.48904416124630.329622534133838
0.9234.60297157115670.332796260012165
0.9334.72244258607980.329401303410989
0.9434.84520685001920.317483398994349
0.9534.96760164577660.29424535567041
0.9635.08418513303520.256643411518729
0.9735.18777081831980.203032939836394
0.9835.27033159017590.136292519284256
0.9935.32510661838280.0691850592195166


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')