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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 computationMon, 29 Dec 2014 10:01:24 +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/2014/Dec/29/t1419847310cwse5dmwlvntlx6.htm/, Retrieved Thu, 16 May 2024 15:06:43 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271645, Retrieved Thu, 16 May 2024 15:06:43 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111

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] [] [2014-10-05 16:12:30] [4df2cd86c9043e1a56e9383f8c504201]
- R P     [Harrell-Davis Quantiles] [] [2014-12-29 10:01:24] [062c419fa600f620f2df94d64c8876ba] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
53
47
49
44
48
51
47
44
33
47
41
36
46
24
17
22
30
24
18
24
24
28
19
22
26
14
16
21
15
23
29
17
24
18
22
8
26
22
34
25
20
35
38
24
14
25
31
17
32
27
30
19
36
27
28
38
26
25
30
27
30
50
48
34
41
26
39
33
38
28
36
20
39
22
32
32
31
28
44
40
32
35
32
31
41
23
36
36
42
36
64
30
25
51
38
27

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=271645&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=271645&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271645&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
0.0110.18395284914163.9822565981524
0.0212.61193239187912.09474493785592
0.0314.19760114824131.36713367726519
0.0415.17222288651181.26179916315921
0.0515.88430999220921.20753287517929
0.0616.47637257554751.13055276319557
0.0716.99338266235861.0921683640871
0.0817.46462026445851.12257550338861
0.0917.91716556980221.202840728728
0.118.36973514820541.29881019975206
0.1118.82971045767211.38379590041326
0.1219.29520803332921.44166170427821
0.1319.75890628266391.46411965174205
0.1420.21150269472281.44926292982819
0.1520.64430426050421.40189552298853
0.1621.0510187360031.3328279303818
0.1721.42871566491171.25635870634311
0.1821.77783924960391.18586499771966
0.1922.10133987861831.1292423207844
0.222.40330246377571.08717884680696
0.2122.68762760006651.0546452685786
0.2222.95723302717931.02521893914886
0.2323.21394900415390.994802029544034
0.2423.45895700837060.963497804860278
0.2523.69342796139820.934850569789023
0.2623.9190159983770.913924363947857
0.2724.13801127171190.90475724623781
0.2824.35314809150980.908821517690434
0.2924.56720811807540.924726916036626
0.324.7826066006090.949110615071175
0.3125.00111139686170.978017353466907
0.3225.22376131897951.00814931961518
0.3325.45096798730221.03732371316023
0.3425.68273323665021.06468529417413
0.3525.91889933390891.09054428051023
0.3626.15936254235591.11598101441226
0.3726.40420672189681.14233799519013
0.3826.65374027972121.17090777226045
0.3926.90844094027851.20238536443517
0.427.16882802207641.23667937697856
0.4127.43529288008161.2726500583316
0.4227.70792565447051.30821940236686
0.4327.98637908336871.34060673536001
0.4428.26980533978541.36690985184307
0.4528.55688816292051.38461947388011
0.4628.84597161316311.39224297668012
0.4729.13526385081881.38960355925105
0.4829.42307670003551.37797600354652
0.4929.70805558490351.35985898429763
0.529.98936166937751.33839217943346
0.5130.26678506317721.31711591121979
0.5230.54078690514771.29935170427812
0.5330.81248056978411.28808224060306
0.5431.08356341173021.28589966290076
0.5531.35620193237721.29486599711753
0.5631.63286240816331.31621676233836
0.5731.91607549185031.34999249757405
0.5832.20813393782891.39452648453974
0.5932.51074743738471.44612048585908
0.632.82470971053061.49908226737585
0.6133.14965725089881.54683447985028
0.6233.48400300971281.58281570687984
0.6333.82510390712061.60192443546157
0.6434.16967008362981.60164283640926
0.6534.51435851404411.58305600095484
0.6634.85643397387761.55069083083802
0.6735.19434794856291.51192152987239
0.6835.52809623559431.47554820527892
0.6935.8592706885561.44986053253555
0.736.19080517515051.44064513649782
0.7136.52650237954851.45017367480304
0.7236.87048526233151.47726426022718
0.7337.22672373151011.51863773400971
0.7437.59874303671141.57052725778337
0.7537.98954669849741.62982728735125
0.7638.401714973021.6947316091555
0.7738.83759469940611.76431752943251
0.7839.29948352339261.83834690580986
0.7939.78971884713081.91671472265452
0.840.31059381294561.99880169659597
0.8140.86403564213582.08282670020984
0.8241.45100852176722.16434482615272
0.8342.07066394589662.23574742015704
0.8442.71936991606112.28595286837789
0.8543.38990454726242.30186842765563
0.8644.0712673327952.2709529984761
0.8744.74965527935672.18505972837206
0.8845.41101688455152.04552604206005
0.8946.04507350995881.86782413266354
0.946.64977662298361.68289532709513
0.9147.23417711947711.53092347488899
0.9247.81738435341171.44459050287602
0.9348.42297943613971.42576095359393
0.9449.07405669571311.43768105982107
0.9549.80745837959131.44284534266476
0.9650.74845312080961.5181601230018
0.9752.28705584825892.09858882655536
0.9855.19301137114724.01541836890426
0.9959.84201125747057.58280066644481

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.1839528491416 & 3.9822565981524 \tabularnewline
0.02 & 12.6119323918791 & 2.09474493785592 \tabularnewline
0.03 & 14.1976011482413 & 1.36713367726519 \tabularnewline
0.04 & 15.1722228865118 & 1.26179916315921 \tabularnewline
0.05 & 15.8843099922092 & 1.20753287517929 \tabularnewline
0.06 & 16.4763725755475 & 1.13055276319557 \tabularnewline
0.07 & 16.9933826623586 & 1.0921683640871 \tabularnewline
0.08 & 17.4646202644585 & 1.12257550338861 \tabularnewline
0.09 & 17.9171655698022 & 1.202840728728 \tabularnewline
0.1 & 18.3697351482054 & 1.29881019975206 \tabularnewline
0.11 & 18.8297104576721 & 1.38379590041326 \tabularnewline
0.12 & 19.2952080333292 & 1.44166170427821 \tabularnewline
0.13 & 19.7589062826639 & 1.46411965174205 \tabularnewline
0.14 & 20.2115026947228 & 1.44926292982819 \tabularnewline
0.15 & 20.6443042605042 & 1.40189552298853 \tabularnewline
0.16 & 21.051018736003 & 1.3328279303818 \tabularnewline
0.17 & 21.4287156649117 & 1.25635870634311 \tabularnewline
0.18 & 21.7778392496039 & 1.18586499771966 \tabularnewline
0.19 & 22.1013398786183 & 1.1292423207844 \tabularnewline
0.2 & 22.4033024637757 & 1.08717884680696 \tabularnewline
0.21 & 22.6876276000665 & 1.0546452685786 \tabularnewline
0.22 & 22.9572330271793 & 1.02521893914886 \tabularnewline
0.23 & 23.2139490041539 & 0.994802029544034 \tabularnewline
0.24 & 23.4589570083706 & 0.963497804860278 \tabularnewline
0.25 & 23.6934279613982 & 0.934850569789023 \tabularnewline
0.26 & 23.919015998377 & 0.913924363947857 \tabularnewline
0.27 & 24.1380112717119 & 0.90475724623781 \tabularnewline
0.28 & 24.3531480915098 & 0.908821517690434 \tabularnewline
0.29 & 24.5672081180754 & 0.924726916036626 \tabularnewline
0.3 & 24.782606600609 & 0.949110615071175 \tabularnewline
0.31 & 25.0011113968617 & 0.978017353466907 \tabularnewline
0.32 & 25.2237613189795 & 1.00814931961518 \tabularnewline
0.33 & 25.4509679873022 & 1.03732371316023 \tabularnewline
0.34 & 25.6827332366502 & 1.06468529417413 \tabularnewline
0.35 & 25.9188993339089 & 1.09054428051023 \tabularnewline
0.36 & 26.1593625423559 & 1.11598101441226 \tabularnewline
0.37 & 26.4042067218968 & 1.14233799519013 \tabularnewline
0.38 & 26.6537402797212 & 1.17090777226045 \tabularnewline
0.39 & 26.9084409402785 & 1.20238536443517 \tabularnewline
0.4 & 27.1688280220764 & 1.23667937697856 \tabularnewline
0.41 & 27.4352928800816 & 1.2726500583316 \tabularnewline
0.42 & 27.7079256544705 & 1.30821940236686 \tabularnewline
0.43 & 27.9863790833687 & 1.34060673536001 \tabularnewline
0.44 & 28.2698053397854 & 1.36690985184307 \tabularnewline
0.45 & 28.5568881629205 & 1.38461947388011 \tabularnewline
0.46 & 28.8459716131631 & 1.39224297668012 \tabularnewline
0.47 & 29.1352638508188 & 1.38960355925105 \tabularnewline
0.48 & 29.4230767000355 & 1.37797600354652 \tabularnewline
0.49 & 29.7080555849035 & 1.35985898429763 \tabularnewline
0.5 & 29.9893616693775 & 1.33839217943346 \tabularnewline
0.51 & 30.2667850631772 & 1.31711591121979 \tabularnewline
0.52 & 30.5407869051477 & 1.29935170427812 \tabularnewline
0.53 & 30.8124805697841 & 1.28808224060306 \tabularnewline
0.54 & 31.0835634117302 & 1.28589966290076 \tabularnewline
0.55 & 31.3562019323772 & 1.29486599711753 \tabularnewline
0.56 & 31.6328624081633 & 1.31621676233836 \tabularnewline
0.57 & 31.9160754918503 & 1.34999249757405 \tabularnewline
0.58 & 32.2081339378289 & 1.39452648453974 \tabularnewline
0.59 & 32.5107474373847 & 1.44612048585908 \tabularnewline
0.6 & 32.8247097105306 & 1.49908226737585 \tabularnewline
0.61 & 33.1496572508988 & 1.54683447985028 \tabularnewline
0.62 & 33.4840030097128 & 1.58281570687984 \tabularnewline
0.63 & 33.8251039071206 & 1.60192443546157 \tabularnewline
0.64 & 34.1696700836298 & 1.60164283640926 \tabularnewline
0.65 & 34.5143585140441 & 1.58305600095484 \tabularnewline
0.66 & 34.8564339738776 & 1.55069083083802 \tabularnewline
0.67 & 35.1943479485629 & 1.51192152987239 \tabularnewline
0.68 & 35.5280962355943 & 1.47554820527892 \tabularnewline
0.69 & 35.859270688556 & 1.44986053253555 \tabularnewline
0.7 & 36.1908051751505 & 1.44064513649782 \tabularnewline
0.71 & 36.5265023795485 & 1.45017367480304 \tabularnewline
0.72 & 36.8704852623315 & 1.47726426022718 \tabularnewline
0.73 & 37.2267237315101 & 1.51863773400971 \tabularnewline
0.74 & 37.5987430367114 & 1.57052725778337 \tabularnewline
0.75 & 37.9895466984974 & 1.62982728735125 \tabularnewline
0.76 & 38.40171497302 & 1.6947316091555 \tabularnewline
0.77 & 38.8375946994061 & 1.76431752943251 \tabularnewline
0.78 & 39.2994835233926 & 1.83834690580986 \tabularnewline
0.79 & 39.7897188471308 & 1.91671472265452 \tabularnewline
0.8 & 40.3105938129456 & 1.99880169659597 \tabularnewline
0.81 & 40.8640356421358 & 2.08282670020984 \tabularnewline
0.82 & 41.4510085217672 & 2.16434482615272 \tabularnewline
0.83 & 42.0706639458966 & 2.23574742015704 \tabularnewline
0.84 & 42.7193699160611 & 2.28595286837789 \tabularnewline
0.85 & 43.3899045472624 & 2.30186842765563 \tabularnewline
0.86 & 44.071267332795 & 2.2709529984761 \tabularnewline
0.87 & 44.7496552793567 & 2.18505972837206 \tabularnewline
0.88 & 45.4110168845515 & 2.04552604206005 \tabularnewline
0.89 & 46.0450735099588 & 1.86782413266354 \tabularnewline
0.9 & 46.6497766229836 & 1.68289532709513 \tabularnewline
0.91 & 47.2341771194771 & 1.53092347488899 \tabularnewline
0.92 & 47.8173843534117 & 1.44459050287602 \tabularnewline
0.93 & 48.4229794361397 & 1.42576095359393 \tabularnewline
0.94 & 49.0740566957131 & 1.43768105982107 \tabularnewline
0.95 & 49.8074583795913 & 1.44284534266476 \tabularnewline
0.96 & 50.7484531208096 & 1.5181601230018 \tabularnewline
0.97 & 52.2870558482589 & 2.09858882655536 \tabularnewline
0.98 & 55.1930113711472 & 4.01541836890426 \tabularnewline
0.99 & 59.8420112574705 & 7.58280066644481 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271645&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]10.1839528491416[/C][C]3.9822565981524[/C][/ROW]
[ROW][C]0.02[/C][C]12.6119323918791[/C][C]2.09474493785592[/C][/ROW]
[ROW][C]0.03[/C][C]14.1976011482413[/C][C]1.36713367726519[/C][/ROW]
[ROW][C]0.04[/C][C]15.1722228865118[/C][C]1.26179916315921[/C][/ROW]
[ROW][C]0.05[/C][C]15.8843099922092[/C][C]1.20753287517929[/C][/ROW]
[ROW][C]0.06[/C][C]16.4763725755475[/C][C]1.13055276319557[/C][/ROW]
[ROW][C]0.07[/C][C]16.9933826623586[/C][C]1.0921683640871[/C][/ROW]
[ROW][C]0.08[/C][C]17.4646202644585[/C][C]1.12257550338861[/C][/ROW]
[ROW][C]0.09[/C][C]17.9171655698022[/C][C]1.202840728728[/C][/ROW]
[ROW][C]0.1[/C][C]18.3697351482054[/C][C]1.29881019975206[/C][/ROW]
[ROW][C]0.11[/C][C]18.8297104576721[/C][C]1.38379590041326[/C][/ROW]
[ROW][C]0.12[/C][C]19.2952080333292[/C][C]1.44166170427821[/C][/ROW]
[ROW][C]0.13[/C][C]19.7589062826639[/C][C]1.46411965174205[/C][/ROW]
[ROW][C]0.14[/C][C]20.2115026947228[/C][C]1.44926292982819[/C][/ROW]
[ROW][C]0.15[/C][C]20.6443042605042[/C][C]1.40189552298853[/C][/ROW]
[ROW][C]0.16[/C][C]21.051018736003[/C][C]1.3328279303818[/C][/ROW]
[ROW][C]0.17[/C][C]21.4287156649117[/C][C]1.25635870634311[/C][/ROW]
[ROW][C]0.18[/C][C]21.7778392496039[/C][C]1.18586499771966[/C][/ROW]
[ROW][C]0.19[/C][C]22.1013398786183[/C][C]1.1292423207844[/C][/ROW]
[ROW][C]0.2[/C][C]22.4033024637757[/C][C]1.08717884680696[/C][/ROW]
[ROW][C]0.21[/C][C]22.6876276000665[/C][C]1.0546452685786[/C][/ROW]
[ROW][C]0.22[/C][C]22.9572330271793[/C][C]1.02521893914886[/C][/ROW]
[ROW][C]0.23[/C][C]23.2139490041539[/C][C]0.994802029544034[/C][/ROW]
[ROW][C]0.24[/C][C]23.4589570083706[/C][C]0.963497804860278[/C][/ROW]
[ROW][C]0.25[/C][C]23.6934279613982[/C][C]0.934850569789023[/C][/ROW]
[ROW][C]0.26[/C][C]23.919015998377[/C][C]0.913924363947857[/C][/ROW]
[ROW][C]0.27[/C][C]24.1380112717119[/C][C]0.90475724623781[/C][/ROW]
[ROW][C]0.28[/C][C]24.3531480915098[/C][C]0.908821517690434[/C][/ROW]
[ROW][C]0.29[/C][C]24.5672081180754[/C][C]0.924726916036626[/C][/ROW]
[ROW][C]0.3[/C][C]24.782606600609[/C][C]0.949110615071175[/C][/ROW]
[ROW][C]0.31[/C][C]25.0011113968617[/C][C]0.978017353466907[/C][/ROW]
[ROW][C]0.32[/C][C]25.2237613189795[/C][C]1.00814931961518[/C][/ROW]
[ROW][C]0.33[/C][C]25.4509679873022[/C][C]1.03732371316023[/C][/ROW]
[ROW][C]0.34[/C][C]25.6827332366502[/C][C]1.06468529417413[/C][/ROW]
[ROW][C]0.35[/C][C]25.9188993339089[/C][C]1.09054428051023[/C][/ROW]
[ROW][C]0.36[/C][C]26.1593625423559[/C][C]1.11598101441226[/C][/ROW]
[ROW][C]0.37[/C][C]26.4042067218968[/C][C]1.14233799519013[/C][/ROW]
[ROW][C]0.38[/C][C]26.6537402797212[/C][C]1.17090777226045[/C][/ROW]
[ROW][C]0.39[/C][C]26.9084409402785[/C][C]1.20238536443517[/C][/ROW]
[ROW][C]0.4[/C][C]27.1688280220764[/C][C]1.23667937697856[/C][/ROW]
[ROW][C]0.41[/C][C]27.4352928800816[/C][C]1.2726500583316[/C][/ROW]
[ROW][C]0.42[/C][C]27.7079256544705[/C][C]1.30821940236686[/C][/ROW]
[ROW][C]0.43[/C][C]27.9863790833687[/C][C]1.34060673536001[/C][/ROW]
[ROW][C]0.44[/C][C]28.2698053397854[/C][C]1.36690985184307[/C][/ROW]
[ROW][C]0.45[/C][C]28.5568881629205[/C][C]1.38461947388011[/C][/ROW]
[ROW][C]0.46[/C][C]28.8459716131631[/C][C]1.39224297668012[/C][/ROW]
[ROW][C]0.47[/C][C]29.1352638508188[/C][C]1.38960355925105[/C][/ROW]
[ROW][C]0.48[/C][C]29.4230767000355[/C][C]1.37797600354652[/C][/ROW]
[ROW][C]0.49[/C][C]29.7080555849035[/C][C]1.35985898429763[/C][/ROW]
[ROW][C]0.5[/C][C]29.9893616693775[/C][C]1.33839217943346[/C][/ROW]
[ROW][C]0.51[/C][C]30.2667850631772[/C][C]1.31711591121979[/C][/ROW]
[ROW][C]0.52[/C][C]30.5407869051477[/C][C]1.29935170427812[/C][/ROW]
[ROW][C]0.53[/C][C]30.8124805697841[/C][C]1.28808224060306[/C][/ROW]
[ROW][C]0.54[/C][C]31.0835634117302[/C][C]1.28589966290076[/C][/ROW]
[ROW][C]0.55[/C][C]31.3562019323772[/C][C]1.29486599711753[/C][/ROW]
[ROW][C]0.56[/C][C]31.6328624081633[/C][C]1.31621676233836[/C][/ROW]
[ROW][C]0.57[/C][C]31.9160754918503[/C][C]1.34999249757405[/C][/ROW]
[ROW][C]0.58[/C][C]32.2081339378289[/C][C]1.39452648453974[/C][/ROW]
[ROW][C]0.59[/C][C]32.5107474373847[/C][C]1.44612048585908[/C][/ROW]
[ROW][C]0.6[/C][C]32.8247097105306[/C][C]1.49908226737585[/C][/ROW]
[ROW][C]0.61[/C][C]33.1496572508988[/C][C]1.54683447985028[/C][/ROW]
[ROW][C]0.62[/C][C]33.4840030097128[/C][C]1.58281570687984[/C][/ROW]
[ROW][C]0.63[/C][C]33.8251039071206[/C][C]1.60192443546157[/C][/ROW]
[ROW][C]0.64[/C][C]34.1696700836298[/C][C]1.60164283640926[/C][/ROW]
[ROW][C]0.65[/C][C]34.5143585140441[/C][C]1.58305600095484[/C][/ROW]
[ROW][C]0.66[/C][C]34.8564339738776[/C][C]1.55069083083802[/C][/ROW]
[ROW][C]0.67[/C][C]35.1943479485629[/C][C]1.51192152987239[/C][/ROW]
[ROW][C]0.68[/C][C]35.5280962355943[/C][C]1.47554820527892[/C][/ROW]
[ROW][C]0.69[/C][C]35.859270688556[/C][C]1.44986053253555[/C][/ROW]
[ROW][C]0.7[/C][C]36.1908051751505[/C][C]1.44064513649782[/C][/ROW]
[ROW][C]0.71[/C][C]36.5265023795485[/C][C]1.45017367480304[/C][/ROW]
[ROW][C]0.72[/C][C]36.8704852623315[/C][C]1.47726426022718[/C][/ROW]
[ROW][C]0.73[/C][C]37.2267237315101[/C][C]1.51863773400971[/C][/ROW]
[ROW][C]0.74[/C][C]37.5987430367114[/C][C]1.57052725778337[/C][/ROW]
[ROW][C]0.75[/C][C]37.9895466984974[/C][C]1.62982728735125[/C][/ROW]
[ROW][C]0.76[/C][C]38.40171497302[/C][C]1.6947316091555[/C][/ROW]
[ROW][C]0.77[/C][C]38.8375946994061[/C][C]1.76431752943251[/C][/ROW]
[ROW][C]0.78[/C][C]39.2994835233926[/C][C]1.83834690580986[/C][/ROW]
[ROW][C]0.79[/C][C]39.7897188471308[/C][C]1.91671472265452[/C][/ROW]
[ROW][C]0.8[/C][C]40.3105938129456[/C][C]1.99880169659597[/C][/ROW]
[ROW][C]0.81[/C][C]40.8640356421358[/C][C]2.08282670020984[/C][/ROW]
[ROW][C]0.82[/C][C]41.4510085217672[/C][C]2.16434482615272[/C][/ROW]
[ROW][C]0.83[/C][C]42.0706639458966[/C][C]2.23574742015704[/C][/ROW]
[ROW][C]0.84[/C][C]42.7193699160611[/C][C]2.28595286837789[/C][/ROW]
[ROW][C]0.85[/C][C]43.3899045472624[/C][C]2.30186842765563[/C][/ROW]
[ROW][C]0.86[/C][C]44.071267332795[/C][C]2.2709529984761[/C][/ROW]
[ROW][C]0.87[/C][C]44.7496552793567[/C][C]2.18505972837206[/C][/ROW]
[ROW][C]0.88[/C][C]45.4110168845515[/C][C]2.04552604206005[/C][/ROW]
[ROW][C]0.89[/C][C]46.0450735099588[/C][C]1.86782413266354[/C][/ROW]
[ROW][C]0.9[/C][C]46.6497766229836[/C][C]1.68289532709513[/C][/ROW]
[ROW][C]0.91[/C][C]47.2341771194771[/C][C]1.53092347488899[/C][/ROW]
[ROW][C]0.92[/C][C]47.8173843534117[/C][C]1.44459050287602[/C][/ROW]
[ROW][C]0.93[/C][C]48.4229794361397[/C][C]1.42576095359393[/C][/ROW]
[ROW][C]0.94[/C][C]49.0740566957131[/C][C]1.43768105982107[/C][/ROW]
[ROW][C]0.95[/C][C]49.8074583795913[/C][C]1.44284534266476[/C][/ROW]
[ROW][C]0.96[/C][C]50.7484531208096[/C][C]1.5181601230018[/C][/ROW]
[ROW][C]0.97[/C][C]52.2870558482589[/C][C]2.09858882655536[/C][/ROW]
[ROW][C]0.98[/C][C]55.1930113711472[/C][C]4.01541836890426[/C][/ROW]
[ROW][C]0.99[/C][C]59.8420112574705[/C][C]7.58280066644481[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271645&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271645&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
0.0110.18395284914163.9822565981524
0.0212.61193239187912.09474493785592
0.0314.19760114824131.36713367726519
0.0415.17222288651181.26179916315921
0.0515.88430999220921.20753287517929
0.0616.47637257554751.13055276319557
0.0716.99338266235861.0921683640871
0.0817.46462026445851.12257550338861
0.0917.91716556980221.202840728728
0.118.36973514820541.29881019975206
0.1118.82971045767211.38379590041326
0.1219.29520803332921.44166170427821
0.1319.75890628266391.46411965174205
0.1420.21150269472281.44926292982819
0.1520.64430426050421.40189552298853
0.1621.0510187360031.3328279303818
0.1721.42871566491171.25635870634311
0.1821.77783924960391.18586499771966
0.1922.10133987861831.1292423207844
0.222.40330246377571.08717884680696
0.2122.68762760006651.0546452685786
0.2222.95723302717931.02521893914886
0.2323.21394900415390.994802029544034
0.2423.45895700837060.963497804860278
0.2523.69342796139820.934850569789023
0.2623.9190159983770.913924363947857
0.2724.13801127171190.90475724623781
0.2824.35314809150980.908821517690434
0.2924.56720811807540.924726916036626
0.324.7826066006090.949110615071175
0.3125.00111139686170.978017353466907
0.3225.22376131897951.00814931961518
0.3325.45096798730221.03732371316023
0.3425.68273323665021.06468529417413
0.3525.91889933390891.09054428051023
0.3626.15936254235591.11598101441226
0.3726.40420672189681.14233799519013
0.3826.65374027972121.17090777226045
0.3926.90844094027851.20238536443517
0.427.16882802207641.23667937697856
0.4127.43529288008161.2726500583316
0.4227.70792565447051.30821940236686
0.4327.98637908336871.34060673536001
0.4428.26980533978541.36690985184307
0.4528.55688816292051.38461947388011
0.4628.84597161316311.39224297668012
0.4729.13526385081881.38960355925105
0.4829.42307670003551.37797600354652
0.4929.70805558490351.35985898429763
0.529.98936166937751.33839217943346
0.5130.26678506317721.31711591121979
0.5230.54078690514771.29935170427812
0.5330.81248056978411.28808224060306
0.5431.08356341173021.28589966290076
0.5531.35620193237721.29486599711753
0.5631.63286240816331.31621676233836
0.5731.91607549185031.34999249757405
0.5832.20813393782891.39452648453974
0.5932.51074743738471.44612048585908
0.632.82470971053061.49908226737585
0.6133.14965725089881.54683447985028
0.6233.48400300971281.58281570687984
0.6333.82510390712061.60192443546157
0.6434.16967008362981.60164283640926
0.6534.51435851404411.58305600095484
0.6634.85643397387761.55069083083802
0.6735.19434794856291.51192152987239
0.6835.52809623559431.47554820527892
0.6935.8592706885561.44986053253555
0.736.19080517515051.44064513649782
0.7136.52650237954851.45017367480304
0.7236.87048526233151.47726426022718
0.7337.22672373151011.51863773400971
0.7437.59874303671141.57052725778337
0.7537.98954669849741.62982728735125
0.7638.401714973021.6947316091555
0.7738.83759469940611.76431752943251
0.7839.29948352339261.83834690580986
0.7939.78971884713081.91671472265452
0.840.31059381294561.99880169659597
0.8140.86403564213582.08282670020984
0.8241.45100852176722.16434482615272
0.8342.07066394589662.23574742015704
0.8442.71936991606112.28595286837789
0.8543.38990454726242.30186842765563
0.8644.0712673327952.2709529984761
0.8744.74965527935672.18505972837206
0.8845.41101688455152.04552604206005
0.8946.04507350995881.86782413266354
0.946.64977662298361.68289532709513
0.9147.23417711947711.53092347488899
0.9247.81738435341171.44459050287602
0.9348.42297943613971.42576095359393
0.9449.07405669571311.43768105982107
0.9549.80745837959131.44284534266476
0.9650.74845312080961.5181601230018
0.9752.28705584825892.09858882655536
0.9855.19301137114724.01541836890426
0.9959.84201125747057.58280066644481


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):
par3 <- '0.01'
par2 <- '0.09'
par1 <- '0.01'
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')