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 computationSun, 26 Oct 2008 09:46:52 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/26/t12250360377o7dml6gcmdfyue.htm/, Retrieved Sun, 19 May 2024 13:00:21 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=18948, Retrieved Sun, 19 May 2024 13:00:21 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact151
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Univariate Data Series] [Werkloosheid mannen] [2008-10-13 15:28:04] [7d3039e6253bb5fb3b26df1537d500b4]
-   PD  [Univariate Data Series] [] [2008-10-20 14:53:04] [af90f76a5211a482a7c35f2c76d2fd61]
- RMPD    [Central Tendency] [] [2008-10-26 15:32:39] [af90f76a5211a482a7c35f2c76d2fd61]
- RMP       [Stem-and-leaf Plot] [] [2008-10-26 15:35:41] [af90f76a5211a482a7c35f2c76d2fd61]
- RMPD        [Percentiles] [] [2008-10-26 15:38:00] [af90f76a5211a482a7c35f2c76d2fd61]
- RMP           [Harrell-Davis Quantiles] [] [2008-10-26 15:40:03] [af90f76a5211a482a7c35f2c76d2fd61]
- RMPD            [Central Tendency] [] [2008-10-26 15:42:50] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D              [Stem-and-leaf Plot] [] [2008-10-26 15:44:02] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                  [Percentiles] [] [2008-10-26 15:45:16] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                      [Harrell-Davis Quantiles] [] [2008-10-26 15:46:52] [e0f4dc76ea1a8276fe566258b977cec4] [Current]
- RM D                      [Central Tendency] [] [2008-10-26 15:49:47] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                        [Stem-and-leaf Plot] [] [2008-10-26 15:51:02] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                            [Percentiles] [] [2008-10-26 15:52:22] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                              [Harrell-Davis Quantiles] [] [2008-10-26 15:53:29] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                              [Central Tendency] [] [2008-10-26 15:55:24] [af90f76a5211a482a7c35f2c76d2fd61]
- RM D                                [Stem-and-leaf Plot] [] [2008-10-26 15:56:53] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                                    [Percentiles] [] [2008-10-26 15:58:01] [af90f76a5211a482a7c35f2c76d2fd61]
- RM                                      [Harrell-Davis Quantiles] [] [2008-10-26 15:59:16] [af90f76a5211a482a7c35f2c76d2fd61]
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Post a new message
Dataseries X:
1.6600
1.6700
1.6500
1.6600
1.6500
1.6400
1.6500
1.6400
1.6400
1.6400
1.6400
1.6300
1.6400
1.6400
1.6400
1.6500
1.6400
1.6400
1.6300
1.6200
1.6100
1.6100
1.6200
1.6100
1.6200
1.6200
1.6200
1.6200
1.6200
1.6400
1.6400
1.6300
1.6200
1.6200
1.6200
1.6000
1.6300
1.6500
1.6700
1.6600
1.6700
1.6600
1.6600
1.6700
1.6700
1.6600
1.6600
1.6700
1.6700
1.6700
1.6700
1.6700
1.6600
1.6500
1.6500
1.6500
1.6300
1.6200
1.6200
1.6200
1.5300
1.5200
1.5100
1.5300
1.5500
1.5600
1.5700
1.5800
1.5800
1.5800
1.5800
1.5800
1.5900
1.5700
1.5900
1.5700
1.5800
1.5800
1.5800
1.5700




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18948&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18948&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18948&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.514023683424440.0097280094020695
0.021.520363481428370.0104437826162969
0.031.527351041004540.0122384837488141
0.041.534420404600760.0144000435551514
0.051.541452835955190.0158163100277011
0.061.548235480173050.0158088769782962
0.071.554439971100620.0144727537639188
0.081.559794957414770.0123921166975766
0.091.564198978450770.0102172099799876
0.11.567717147375920.00838200234566946
0.111.570510198746190.00703303009761448
0.121.572758718060230.00609968941324365
0.131.574617513688650.00543752522338731
0.141.576204380800080.00495579744213177
0.151.577610513600520.00466195394822898
0.161.578916751226650.00464097509738967
0.171.580204687978290.00498701203891377
0.181.581558550074770.00573117105878178
0.191.583059096765650.00681961017028462
0.21.584773459791120.00814117723991368
0.211.58674513875870.0095551005243132
0.221.588987275035330.0109173154174585
0.231.591480747427580.0120869347023596
0.241.594177169534950.0129499897180288
0.251.597005806276750.0134300015272099
0.261.599882842150110.0134919714419079
0.271.602721291801340.013147668131827
0.281.605440052261020.0124427447142494
0.291.607971030477480.0114508063996569
0.31.610263802216610.0102594392516430
0.311.612287745338450.00896296656778092
0.321.614031956161430.00764994601152463
0.331.615503466190340.0063963621068653
0.341.616724337465170.00526694210358902
0.351.617728166805610.00431006917333794
0.361.618556420510930.00356266746551094
0.371.619254894557150.00305182483305438
0.381.619870481285630.00279239554864787
0.391.620448338493370.00277830121279600
0.41.621029505409090.00297884143312818
0.411.621648987869140.00334422616955681
0.421.622334331437440.00381940954815504
0.431.623104702792240.00435671954810287
0.441.623970494475560.00491051635526059
0.451.624933449796120.00543653930590926
0.461.625987274987670.00590050880683398
0.471.627118673244620.00627025042960552
0.481.628308711093170.006523858278704
0.491.629534419519600.00664785310458145
0.51.630770540511260.0066329801508046
0.511.631991346092570.0064838561658535
0.521.633172468980090.00620829317571751
0.531.634292680839840.00582748773006069
0.541.635335532538190.00536590323369913
0.551.636290737412590.0048581041710457
0.561.637155148085080.00434113579562432
0.571.637933166976940.00385693681243294
0.581.638636454242940.00344655454744376
0.591.639282860146290.00314707267786904
0.61.639894608119140.00298907695802043
0.611.640495877145350.00298206247630490
0.621.641110057731230.00311260559581194
0.631.641757059408420.00334504531437850
0.641.642451101422760.00363380684260967
0.651.643199395498530.00393038401322797
0.661.644002012714490.00419384748090304
0.671.644853016600330.00439416540474025
0.681.645742669956390.00451732868425637
0.691.646660242024490.00456704269117643
0.71.647596735677460.00456282019723639
0.711.648546802678310.00453567942339462
0.721.649509272497030.00451818371622334
0.731.650486084365660.00453243002741665
0.741.651479909143570.00457908725557037
0.751.652491238293550.00463778697316925
0.761.653516031450670.00467238678509813
0.771.654545003242450.0046453103896802
0.781.65556522564450.0045314351777679
0.791.656563977760810.00433161415431524
0.81.657533875183830.00407543142179875
0.811.658477540412720.00382166075075193
0.821.659409750241200.00364460266487249
0.831.660355368959580.0036094493527393
0.841.661342529986150.00373444671007800
0.851.662392271255050.00396483181034991
0.861.663507640295390.00419642878028825
0.871.664666381926310.00430509587064394
0.881.665820928510260.00419282319046027
0.891.666907202991920.00381730901926608
0.91.667860265219730.00320986185248724
0.911.668631554962010.00246477162894086
0.921.669201219665780.00170760069347792
0.931.669580816356680.00105275846612903
0.941.669805925205040.00056728191204327
0.951.669922684011960.000261369726723272
0.961.669974423442179.91278968222836e-05
0.971.669993356905242.94348593166353e-05
0.981.669998777665616.30746985356472e-06
0.991.669999876805587.00829983729413e-07

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.51402368342444 & 0.0097280094020695 \tabularnewline
0.02 & 1.52036348142837 & 0.0104437826162969 \tabularnewline
0.03 & 1.52735104100454 & 0.0122384837488141 \tabularnewline
0.04 & 1.53442040460076 & 0.0144000435551514 \tabularnewline
0.05 & 1.54145283595519 & 0.0158163100277011 \tabularnewline
0.06 & 1.54823548017305 & 0.0158088769782962 \tabularnewline
0.07 & 1.55443997110062 & 0.0144727537639188 \tabularnewline
0.08 & 1.55979495741477 & 0.0123921166975766 \tabularnewline
0.09 & 1.56419897845077 & 0.0102172099799876 \tabularnewline
0.1 & 1.56771714737592 & 0.00838200234566946 \tabularnewline
0.11 & 1.57051019874619 & 0.00703303009761448 \tabularnewline
0.12 & 1.57275871806023 & 0.00609968941324365 \tabularnewline
0.13 & 1.57461751368865 & 0.00543752522338731 \tabularnewline
0.14 & 1.57620438080008 & 0.00495579744213177 \tabularnewline
0.15 & 1.57761051360052 & 0.00466195394822898 \tabularnewline
0.16 & 1.57891675122665 & 0.00464097509738967 \tabularnewline
0.17 & 1.58020468797829 & 0.00498701203891377 \tabularnewline
0.18 & 1.58155855007477 & 0.00573117105878178 \tabularnewline
0.19 & 1.58305909676565 & 0.00681961017028462 \tabularnewline
0.2 & 1.58477345979112 & 0.00814117723991368 \tabularnewline
0.21 & 1.5867451387587 & 0.0095551005243132 \tabularnewline
0.22 & 1.58898727503533 & 0.0109173154174585 \tabularnewline
0.23 & 1.59148074742758 & 0.0120869347023596 \tabularnewline
0.24 & 1.59417716953495 & 0.0129499897180288 \tabularnewline
0.25 & 1.59700580627675 & 0.0134300015272099 \tabularnewline
0.26 & 1.59988284215011 & 0.0134919714419079 \tabularnewline
0.27 & 1.60272129180134 & 0.013147668131827 \tabularnewline
0.28 & 1.60544005226102 & 0.0124427447142494 \tabularnewline
0.29 & 1.60797103047748 & 0.0114508063996569 \tabularnewline
0.3 & 1.61026380221661 & 0.0102594392516430 \tabularnewline
0.31 & 1.61228774533845 & 0.00896296656778092 \tabularnewline
0.32 & 1.61403195616143 & 0.00764994601152463 \tabularnewline
0.33 & 1.61550346619034 & 0.0063963621068653 \tabularnewline
0.34 & 1.61672433746517 & 0.00526694210358902 \tabularnewline
0.35 & 1.61772816680561 & 0.00431006917333794 \tabularnewline
0.36 & 1.61855642051093 & 0.00356266746551094 \tabularnewline
0.37 & 1.61925489455715 & 0.00305182483305438 \tabularnewline
0.38 & 1.61987048128563 & 0.00279239554864787 \tabularnewline
0.39 & 1.62044833849337 & 0.00277830121279600 \tabularnewline
0.4 & 1.62102950540909 & 0.00297884143312818 \tabularnewline
0.41 & 1.62164898786914 & 0.00334422616955681 \tabularnewline
0.42 & 1.62233433143744 & 0.00381940954815504 \tabularnewline
0.43 & 1.62310470279224 & 0.00435671954810287 \tabularnewline
0.44 & 1.62397049447556 & 0.00491051635526059 \tabularnewline
0.45 & 1.62493344979612 & 0.00543653930590926 \tabularnewline
0.46 & 1.62598727498767 & 0.00590050880683398 \tabularnewline
0.47 & 1.62711867324462 & 0.00627025042960552 \tabularnewline
0.48 & 1.62830871109317 & 0.006523858278704 \tabularnewline
0.49 & 1.62953441951960 & 0.00664785310458145 \tabularnewline
0.5 & 1.63077054051126 & 0.0066329801508046 \tabularnewline
0.51 & 1.63199134609257 & 0.0064838561658535 \tabularnewline
0.52 & 1.63317246898009 & 0.00620829317571751 \tabularnewline
0.53 & 1.63429268083984 & 0.00582748773006069 \tabularnewline
0.54 & 1.63533553253819 & 0.00536590323369913 \tabularnewline
0.55 & 1.63629073741259 & 0.0048581041710457 \tabularnewline
0.56 & 1.63715514808508 & 0.00434113579562432 \tabularnewline
0.57 & 1.63793316697694 & 0.00385693681243294 \tabularnewline
0.58 & 1.63863645424294 & 0.00344655454744376 \tabularnewline
0.59 & 1.63928286014629 & 0.00314707267786904 \tabularnewline
0.6 & 1.63989460811914 & 0.00298907695802043 \tabularnewline
0.61 & 1.64049587714535 & 0.00298206247630490 \tabularnewline
0.62 & 1.64111005773123 & 0.00311260559581194 \tabularnewline
0.63 & 1.64175705940842 & 0.00334504531437850 \tabularnewline
0.64 & 1.64245110142276 & 0.00363380684260967 \tabularnewline
0.65 & 1.64319939549853 & 0.00393038401322797 \tabularnewline
0.66 & 1.64400201271449 & 0.00419384748090304 \tabularnewline
0.67 & 1.64485301660033 & 0.00439416540474025 \tabularnewline
0.68 & 1.64574266995639 & 0.00451732868425637 \tabularnewline
0.69 & 1.64666024202449 & 0.00456704269117643 \tabularnewline
0.7 & 1.64759673567746 & 0.00456282019723639 \tabularnewline
0.71 & 1.64854680267831 & 0.00453567942339462 \tabularnewline
0.72 & 1.64950927249703 & 0.00451818371622334 \tabularnewline
0.73 & 1.65048608436566 & 0.00453243002741665 \tabularnewline
0.74 & 1.65147990914357 & 0.00457908725557037 \tabularnewline
0.75 & 1.65249123829355 & 0.00463778697316925 \tabularnewline
0.76 & 1.65351603145067 & 0.00467238678509813 \tabularnewline
0.77 & 1.65454500324245 & 0.0046453103896802 \tabularnewline
0.78 & 1.6555652256445 & 0.0045314351777679 \tabularnewline
0.79 & 1.65656397776081 & 0.00433161415431524 \tabularnewline
0.8 & 1.65753387518383 & 0.00407543142179875 \tabularnewline
0.81 & 1.65847754041272 & 0.00382166075075193 \tabularnewline
0.82 & 1.65940975024120 & 0.00364460266487249 \tabularnewline
0.83 & 1.66035536895958 & 0.0036094493527393 \tabularnewline
0.84 & 1.66134252998615 & 0.00373444671007800 \tabularnewline
0.85 & 1.66239227125505 & 0.00396483181034991 \tabularnewline
0.86 & 1.66350764029539 & 0.00419642878028825 \tabularnewline
0.87 & 1.66466638192631 & 0.00430509587064394 \tabularnewline
0.88 & 1.66582092851026 & 0.00419282319046027 \tabularnewline
0.89 & 1.66690720299192 & 0.00381730901926608 \tabularnewline
0.9 & 1.66786026521973 & 0.00320986185248724 \tabularnewline
0.91 & 1.66863155496201 & 0.00246477162894086 \tabularnewline
0.92 & 1.66920121966578 & 0.00170760069347792 \tabularnewline
0.93 & 1.66958081635668 & 0.00105275846612903 \tabularnewline
0.94 & 1.66980592520504 & 0.00056728191204327 \tabularnewline
0.95 & 1.66992268401196 & 0.000261369726723272 \tabularnewline
0.96 & 1.66997442344217 & 9.91278968222836e-05 \tabularnewline
0.97 & 1.66999335690524 & 2.94348593166353e-05 \tabularnewline
0.98 & 1.66999877766561 & 6.30746985356472e-06 \tabularnewline
0.99 & 1.66999987680558 & 7.00829983729413e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=18948&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]1.51402368342444[/C][C]0.0097280094020695[/C][/ROW]
[ROW][C]0.02[/C][C]1.52036348142837[/C][C]0.0104437826162969[/C][/ROW]
[ROW][C]0.03[/C][C]1.52735104100454[/C][C]0.0122384837488141[/C][/ROW]
[ROW][C]0.04[/C][C]1.53442040460076[/C][C]0.0144000435551514[/C][/ROW]
[ROW][C]0.05[/C][C]1.54145283595519[/C][C]0.0158163100277011[/C][/ROW]
[ROW][C]0.06[/C][C]1.54823548017305[/C][C]0.0158088769782962[/C][/ROW]
[ROW][C]0.07[/C][C]1.55443997110062[/C][C]0.0144727537639188[/C][/ROW]
[ROW][C]0.08[/C][C]1.55979495741477[/C][C]0.0123921166975766[/C][/ROW]
[ROW][C]0.09[/C][C]1.56419897845077[/C][C]0.0102172099799876[/C][/ROW]
[ROW][C]0.1[/C][C]1.56771714737592[/C][C]0.00838200234566946[/C][/ROW]
[ROW][C]0.11[/C][C]1.57051019874619[/C][C]0.00703303009761448[/C][/ROW]
[ROW][C]0.12[/C][C]1.57275871806023[/C][C]0.00609968941324365[/C][/ROW]
[ROW][C]0.13[/C][C]1.57461751368865[/C][C]0.00543752522338731[/C][/ROW]
[ROW][C]0.14[/C][C]1.57620438080008[/C][C]0.00495579744213177[/C][/ROW]
[ROW][C]0.15[/C][C]1.57761051360052[/C][C]0.00466195394822898[/C][/ROW]
[ROW][C]0.16[/C][C]1.57891675122665[/C][C]0.00464097509738967[/C][/ROW]
[ROW][C]0.17[/C][C]1.58020468797829[/C][C]0.00498701203891377[/C][/ROW]
[ROW][C]0.18[/C][C]1.58155855007477[/C][C]0.00573117105878178[/C][/ROW]
[ROW][C]0.19[/C][C]1.58305909676565[/C][C]0.00681961017028462[/C][/ROW]
[ROW][C]0.2[/C][C]1.58477345979112[/C][C]0.00814117723991368[/C][/ROW]
[ROW][C]0.21[/C][C]1.5867451387587[/C][C]0.0095551005243132[/C][/ROW]
[ROW][C]0.22[/C][C]1.58898727503533[/C][C]0.0109173154174585[/C][/ROW]
[ROW][C]0.23[/C][C]1.59148074742758[/C][C]0.0120869347023596[/C][/ROW]
[ROW][C]0.24[/C][C]1.59417716953495[/C][C]0.0129499897180288[/C][/ROW]
[ROW][C]0.25[/C][C]1.59700580627675[/C][C]0.0134300015272099[/C][/ROW]
[ROW][C]0.26[/C][C]1.59988284215011[/C][C]0.0134919714419079[/C][/ROW]
[ROW][C]0.27[/C][C]1.60272129180134[/C][C]0.013147668131827[/C][/ROW]
[ROW][C]0.28[/C][C]1.60544005226102[/C][C]0.0124427447142494[/C][/ROW]
[ROW][C]0.29[/C][C]1.60797103047748[/C][C]0.0114508063996569[/C][/ROW]
[ROW][C]0.3[/C][C]1.61026380221661[/C][C]0.0102594392516430[/C][/ROW]
[ROW][C]0.31[/C][C]1.61228774533845[/C][C]0.00896296656778092[/C][/ROW]
[ROW][C]0.32[/C][C]1.61403195616143[/C][C]0.00764994601152463[/C][/ROW]
[ROW][C]0.33[/C][C]1.61550346619034[/C][C]0.0063963621068653[/C][/ROW]
[ROW][C]0.34[/C][C]1.61672433746517[/C][C]0.00526694210358902[/C][/ROW]
[ROW][C]0.35[/C][C]1.61772816680561[/C][C]0.00431006917333794[/C][/ROW]
[ROW][C]0.36[/C][C]1.61855642051093[/C][C]0.00356266746551094[/C][/ROW]
[ROW][C]0.37[/C][C]1.61925489455715[/C][C]0.00305182483305438[/C][/ROW]
[ROW][C]0.38[/C][C]1.61987048128563[/C][C]0.00279239554864787[/C][/ROW]
[ROW][C]0.39[/C][C]1.62044833849337[/C][C]0.00277830121279600[/C][/ROW]
[ROW][C]0.4[/C][C]1.62102950540909[/C][C]0.00297884143312818[/C][/ROW]
[ROW][C]0.41[/C][C]1.62164898786914[/C][C]0.00334422616955681[/C][/ROW]
[ROW][C]0.42[/C][C]1.62233433143744[/C][C]0.00381940954815504[/C][/ROW]
[ROW][C]0.43[/C][C]1.62310470279224[/C][C]0.00435671954810287[/C][/ROW]
[ROW][C]0.44[/C][C]1.62397049447556[/C][C]0.00491051635526059[/C][/ROW]
[ROW][C]0.45[/C][C]1.62493344979612[/C][C]0.00543653930590926[/C][/ROW]
[ROW][C]0.46[/C][C]1.62598727498767[/C][C]0.00590050880683398[/C][/ROW]
[ROW][C]0.47[/C][C]1.62711867324462[/C][C]0.00627025042960552[/C][/ROW]
[ROW][C]0.48[/C][C]1.62830871109317[/C][C]0.006523858278704[/C][/ROW]
[ROW][C]0.49[/C][C]1.62953441951960[/C][C]0.00664785310458145[/C][/ROW]
[ROW][C]0.5[/C][C]1.63077054051126[/C][C]0.0066329801508046[/C][/ROW]
[ROW][C]0.51[/C][C]1.63199134609257[/C][C]0.0064838561658535[/C][/ROW]
[ROW][C]0.52[/C][C]1.63317246898009[/C][C]0.00620829317571751[/C][/ROW]
[ROW][C]0.53[/C][C]1.63429268083984[/C][C]0.00582748773006069[/C][/ROW]
[ROW][C]0.54[/C][C]1.63533553253819[/C][C]0.00536590323369913[/C][/ROW]
[ROW][C]0.55[/C][C]1.63629073741259[/C][C]0.0048581041710457[/C][/ROW]
[ROW][C]0.56[/C][C]1.63715514808508[/C][C]0.00434113579562432[/C][/ROW]
[ROW][C]0.57[/C][C]1.63793316697694[/C][C]0.00385693681243294[/C][/ROW]
[ROW][C]0.58[/C][C]1.63863645424294[/C][C]0.00344655454744376[/C][/ROW]
[ROW][C]0.59[/C][C]1.63928286014629[/C][C]0.00314707267786904[/C][/ROW]
[ROW][C]0.6[/C][C]1.63989460811914[/C][C]0.00298907695802043[/C][/ROW]
[ROW][C]0.61[/C][C]1.64049587714535[/C][C]0.00298206247630490[/C][/ROW]
[ROW][C]0.62[/C][C]1.64111005773123[/C][C]0.00311260559581194[/C][/ROW]
[ROW][C]0.63[/C][C]1.64175705940842[/C][C]0.00334504531437850[/C][/ROW]
[ROW][C]0.64[/C][C]1.64245110142276[/C][C]0.00363380684260967[/C][/ROW]
[ROW][C]0.65[/C][C]1.64319939549853[/C][C]0.00393038401322797[/C][/ROW]
[ROW][C]0.66[/C][C]1.64400201271449[/C][C]0.00419384748090304[/C][/ROW]
[ROW][C]0.67[/C][C]1.64485301660033[/C][C]0.00439416540474025[/C][/ROW]
[ROW][C]0.68[/C][C]1.64574266995639[/C][C]0.00451732868425637[/C][/ROW]
[ROW][C]0.69[/C][C]1.64666024202449[/C][C]0.00456704269117643[/C][/ROW]
[ROW][C]0.7[/C][C]1.64759673567746[/C][C]0.00456282019723639[/C][/ROW]
[ROW][C]0.71[/C][C]1.64854680267831[/C][C]0.00453567942339462[/C][/ROW]
[ROW][C]0.72[/C][C]1.64950927249703[/C][C]0.00451818371622334[/C][/ROW]
[ROW][C]0.73[/C][C]1.65048608436566[/C][C]0.00453243002741665[/C][/ROW]
[ROW][C]0.74[/C][C]1.65147990914357[/C][C]0.00457908725557037[/C][/ROW]
[ROW][C]0.75[/C][C]1.65249123829355[/C][C]0.00463778697316925[/C][/ROW]
[ROW][C]0.76[/C][C]1.65351603145067[/C][C]0.00467238678509813[/C][/ROW]
[ROW][C]0.77[/C][C]1.65454500324245[/C][C]0.0046453103896802[/C][/ROW]
[ROW][C]0.78[/C][C]1.6555652256445[/C][C]0.0045314351777679[/C][/ROW]
[ROW][C]0.79[/C][C]1.65656397776081[/C][C]0.00433161415431524[/C][/ROW]
[ROW][C]0.8[/C][C]1.65753387518383[/C][C]0.00407543142179875[/C][/ROW]
[ROW][C]0.81[/C][C]1.65847754041272[/C][C]0.00382166075075193[/C][/ROW]
[ROW][C]0.82[/C][C]1.65940975024120[/C][C]0.00364460266487249[/C][/ROW]
[ROW][C]0.83[/C][C]1.66035536895958[/C][C]0.0036094493527393[/C][/ROW]
[ROW][C]0.84[/C][C]1.66134252998615[/C][C]0.00373444671007800[/C][/ROW]
[ROW][C]0.85[/C][C]1.66239227125505[/C][C]0.00396483181034991[/C][/ROW]
[ROW][C]0.86[/C][C]1.66350764029539[/C][C]0.00419642878028825[/C][/ROW]
[ROW][C]0.87[/C][C]1.66466638192631[/C][C]0.00430509587064394[/C][/ROW]
[ROW][C]0.88[/C][C]1.66582092851026[/C][C]0.00419282319046027[/C][/ROW]
[ROW][C]0.89[/C][C]1.66690720299192[/C][C]0.00381730901926608[/C][/ROW]
[ROW][C]0.9[/C][C]1.66786026521973[/C][C]0.00320986185248724[/C][/ROW]
[ROW][C]0.91[/C][C]1.66863155496201[/C][C]0.00246477162894086[/C][/ROW]
[ROW][C]0.92[/C][C]1.66920121966578[/C][C]0.00170760069347792[/C][/ROW]
[ROW][C]0.93[/C][C]1.66958081635668[/C][C]0.00105275846612903[/C][/ROW]
[ROW][C]0.94[/C][C]1.66980592520504[/C][C]0.00056728191204327[/C][/ROW]
[ROW][C]0.95[/C][C]1.66992268401196[/C][C]0.000261369726723272[/C][/ROW]
[ROW][C]0.96[/C][C]1.66997442344217[/C][C]9.91278968222836e-05[/C][/ROW]
[ROW][C]0.97[/C][C]1.66999335690524[/C][C]2.94348593166353e-05[/C][/ROW]
[ROW][C]0.98[/C][C]1.66999877766561[/C][C]6.30746985356472e-06[/C][/ROW]
[ROW][C]0.99[/C][C]1.66999987680558[/C][C]7.00829983729413e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=18948&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=18948&T=1

As an alternative you can also use a QR Code:  

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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.514023683424440.0097280094020695
0.021.520363481428370.0104437826162969
0.031.527351041004540.0122384837488141
0.041.534420404600760.0144000435551514
0.051.541452835955190.0158163100277011
0.061.548235480173050.0158088769782962
0.071.554439971100620.0144727537639188
0.081.559794957414770.0123921166975766
0.091.564198978450770.0102172099799876
0.11.567717147375920.00838200234566946
0.111.570510198746190.00703303009761448
0.121.572758718060230.00609968941324365
0.131.574617513688650.00543752522338731
0.141.576204380800080.00495579744213177
0.151.577610513600520.00466195394822898
0.161.578916751226650.00464097509738967
0.171.580204687978290.00498701203891377
0.181.581558550074770.00573117105878178
0.191.583059096765650.00681961017028462
0.21.584773459791120.00814117723991368
0.211.58674513875870.0095551005243132
0.221.588987275035330.0109173154174585
0.231.591480747427580.0120869347023596
0.241.594177169534950.0129499897180288
0.251.597005806276750.0134300015272099
0.261.599882842150110.0134919714419079
0.271.602721291801340.013147668131827
0.281.605440052261020.0124427447142494
0.291.607971030477480.0114508063996569
0.31.610263802216610.0102594392516430
0.311.612287745338450.00896296656778092
0.321.614031956161430.00764994601152463
0.331.615503466190340.0063963621068653
0.341.616724337465170.00526694210358902
0.351.617728166805610.00431006917333794
0.361.618556420510930.00356266746551094
0.371.619254894557150.00305182483305438
0.381.619870481285630.00279239554864787
0.391.620448338493370.00277830121279600
0.41.621029505409090.00297884143312818
0.411.621648987869140.00334422616955681
0.421.622334331437440.00381940954815504
0.431.623104702792240.00435671954810287
0.441.623970494475560.00491051635526059
0.451.624933449796120.00543653930590926
0.461.625987274987670.00590050880683398
0.471.627118673244620.00627025042960552
0.481.628308711093170.006523858278704
0.491.629534419519600.00664785310458145
0.51.630770540511260.0066329801508046
0.511.631991346092570.0064838561658535
0.521.633172468980090.00620829317571751
0.531.634292680839840.00582748773006069
0.541.635335532538190.00536590323369913
0.551.636290737412590.0048581041710457
0.561.637155148085080.00434113579562432
0.571.637933166976940.00385693681243294
0.581.638636454242940.00344655454744376
0.591.639282860146290.00314707267786904
0.61.639894608119140.00298907695802043
0.611.640495877145350.00298206247630490
0.621.641110057731230.00311260559581194
0.631.641757059408420.00334504531437850
0.641.642451101422760.00363380684260967
0.651.643199395498530.00393038401322797
0.661.644002012714490.00419384748090304
0.671.644853016600330.00439416540474025
0.681.645742669956390.00451732868425637
0.691.646660242024490.00456704269117643
0.71.647596735677460.00456282019723639
0.711.648546802678310.00453567942339462
0.721.649509272497030.00451818371622334
0.731.650486084365660.00453243002741665
0.741.651479909143570.00457908725557037
0.751.652491238293550.00463778697316925
0.761.653516031450670.00467238678509813
0.771.654545003242450.0046453103896802
0.781.65556522564450.0045314351777679
0.791.656563977760810.00433161415431524
0.81.657533875183830.00407543142179875
0.811.658477540412720.00382166075075193
0.821.659409750241200.00364460266487249
0.831.660355368959580.0036094493527393
0.841.661342529986150.00373444671007800
0.851.662392271255050.00396483181034991
0.861.663507640295390.00419642878028825
0.871.664666381926310.00430509587064394
0.881.665820928510260.00419282319046027
0.891.666907202991920.00381730901926608
0.91.667860265219730.00320986185248724
0.911.668631554962010.00246477162894086
0.921.669201219665780.00170760069347792
0.931.669580816356680.00105275846612903
0.941.669805925205040.00056728191204327
0.951.669922684011960.000261369726723272
0.961.669974423442179.91278968222836e-05
0.971.669993356905242.94348593166353e-05
0.981.669998777665616.30746985356472e-06
0.991.669999876805587.00829983729413e-07



Parameters (Session):
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')