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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 computationThu, 12 Feb 2015 21:56:04 +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/12/t1423778242bu66gh4pk6wbneh.htm/, Retrieved Sat, 18 May 2024 11:44:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277342, Retrieved Sat, 18 May 2024 11:44:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact51

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] [Percentielen, voo...] [2015-02-12 21:56:04] [181905e06b04c65545707bd953ef5b1f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
24
24
31
25
28
24
25
16
17
11
12
39
19
14
15
7
12
12
14
9
8
4
7
3
5
0
-2
6
11
9
17
21
21
41
57
65
68
73
71
71
70
69
65
57
57
57
55
65
65
64
60
43
47
40
31
27
24
23
17
16
15
8
5
6
5
12
8
17
22
24
36
31
34
47
33
35
31
35
39
46
40
50
62
57
59
52
63
56
55
54
48
39
40
38
34
32

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=277342&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=277342&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277342&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
0.01-0.8548630128485232.20220117268463
0.020.8632874306821822.28176516866702
0.032.428456260705451.92960573091616
0.043.594574287858461.45650519156111
0.054.407713942867271.12640077160308
0.064.99606459578620.995500436584688
0.075.472632210998261.00755742929041
0.085.908461770768711.08166493195946
0.096.337816449052891.16629187518902
0.16.772785623943511.24550929032784
0.117.216391941213411.32474443174245
0.127.670278549552621.41478432143883
0.138.137061114720481.5198785861777
0.148.619383823216961.63342979685042
0.159.118070218630361.7415221640291
0.169.631078504173811.83036006074375
0.1710.15388849432251.8927616199415
0.1810.68098385988441.93059424690875
0.1911.20758466973221.95288869371293
0.211.73082495553481.97086795944127
0.2112.25000112507141.99299188790745
0.2212.76603668324512.02241712740328
0.2313.28063998037132.05791204996451
0.2413.79565445298852.09710657338996
0.2514.31287366519322.13959245977068
0.2614.83428040960632.18852370572994
0.2715.36243501456752.24981042639264
0.2815.9006738633912.32958851696671
0.2916.45288301417352.43080326361681
0.317.02281448709842.55079718649342
0.3117.61312139511232.68061838318853
0.3218.22442428794652.80650275187469
0.3318.85474283664842.9132698555205
0.3419.49953390795912.98802388459679
0.3520.15240368930433.02361462401344
0.3620.80636334861583.02078783329973
0.3721.45533415292592.98855067488685
0.3822.09552585889922.94277998735527
0.3922.72633377489112.90310358692842
0.423.35051805252312.88831900474218
0.4123.97361023284242.91176136154596
0.4224.60268731189192.97753772555178
0.4325.24481039235743.07954543013003
0.4425.90550234144323.20332074090725
0.4526.58761779991243.33026264482427
0.4627.2908474832273.44201483504859
0.4728.01192981528833.52432121605593
0.4828.74546456016393.56953046866755
0.4929.48508423490493.57726777120282
0.530.22467508345843.55360395738887
0.5130.95936215066363.50870535031942
0.5231.68606891610833.45401447026571
0.5332.40359816471733.39986301834701
0.5433.11231664886423.35279623398968
0.5533.81362539902823.31583793078245
0.5634.50943723912973.28863099524706
0.5735.20185702040383.26955130907097
0.5835.89317827559913.2578784637905
0.5936.58619510409313.25573774603695
0.637.28471088994043.26897477087966
0.6137.99403892776383.30707910128779
0.6238.72126188230823.38070506166105
0.6339.47506089126713.4986064866842
0.6440.2650333908163.66404764430465
0.6541.10056094079873.87236435037104
0.6641.98941882317164.1106812625735
0.6742.9363934739324.35993792185069
0.6843.94216757834084.59761619006397
0.6945.00265428089544.80097457220736
0.746.10885026926754.94925555198333
0.7147.24718361206855.02543705134019
0.7248.40029336855985.01701866810624
0.7349.54819708204754.91677332333783
0.7450.6698455504964.72414404085849
0.7551.74507903584034.4465235511413
0.7652.75694212721624.10070877168241
0.7753.69417582501683.7134391268937
0.7854.55351627096243.32036219148158
0.7955.34125440337192.96313534355717
0.856.07343123390222.68421474106155
0.8156.77413925429972.51827979487401
0.8257.47172610057342.47959444963412
0.8358.19324848823142.55129747962972
0.8458.95820801604542.68658664298649
0.8559.77322114739852.82205927841579
0.8660.62957553411952.89540268838993
0.8761.50535304984322.86248884074127
0.8862.37277643295072.71191478079298
0.8963.20960510435492.47401235585031
0.964.01098051758682.21942048935742

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & -0.854863012848523 & 2.20220117268463 \tabularnewline
0.02 & 0.863287430682182 & 2.28176516866702 \tabularnewline
0.03 & 2.42845626070545 & 1.92960573091616 \tabularnewline
0.04 & 3.59457428785846 & 1.45650519156111 \tabularnewline
0.05 & 4.40771394286727 & 1.12640077160308 \tabularnewline
0.06 & 4.9960645957862 & 0.995500436584688 \tabularnewline
0.07 & 5.47263221099826 & 1.00755742929041 \tabularnewline
0.08 & 5.90846177076871 & 1.08166493195946 \tabularnewline
0.09 & 6.33781644905289 & 1.16629187518902 \tabularnewline
0.1 & 6.77278562394351 & 1.24550929032784 \tabularnewline
0.11 & 7.21639194121341 & 1.32474443174245 \tabularnewline
0.12 & 7.67027854955262 & 1.41478432143883 \tabularnewline
0.13 & 8.13706111472048 & 1.5198785861777 \tabularnewline
0.14 & 8.61938382321696 & 1.63342979685042 \tabularnewline
0.15 & 9.11807021863036 & 1.7415221640291 \tabularnewline
0.16 & 9.63107850417381 & 1.83036006074375 \tabularnewline
0.17 & 10.1538884943225 & 1.8927616199415 \tabularnewline
0.18 & 10.6809838598844 & 1.93059424690875 \tabularnewline
0.19 & 11.2075846697322 & 1.95288869371293 \tabularnewline
0.2 & 11.7308249555348 & 1.97086795944127 \tabularnewline
0.21 & 12.2500011250714 & 1.99299188790745 \tabularnewline
0.22 & 12.7660366832451 & 2.02241712740328 \tabularnewline
0.23 & 13.2806399803713 & 2.05791204996451 \tabularnewline
0.24 & 13.7956544529885 & 2.09710657338996 \tabularnewline
0.25 & 14.3128736651932 & 2.13959245977068 \tabularnewline
0.26 & 14.8342804096063 & 2.18852370572994 \tabularnewline
0.27 & 15.3624350145675 & 2.24981042639264 \tabularnewline
0.28 & 15.900673863391 & 2.32958851696671 \tabularnewline
0.29 & 16.4528830141735 & 2.43080326361681 \tabularnewline
0.3 & 17.0228144870984 & 2.55079718649342 \tabularnewline
0.31 & 17.6131213951123 & 2.68061838318853 \tabularnewline
0.32 & 18.2244242879465 & 2.80650275187469 \tabularnewline
0.33 & 18.8547428366484 & 2.9132698555205 \tabularnewline
0.34 & 19.4995339079591 & 2.98802388459679 \tabularnewline
0.35 & 20.1524036893043 & 3.02361462401344 \tabularnewline
0.36 & 20.8063633486158 & 3.02078783329973 \tabularnewline
0.37 & 21.4553341529259 & 2.98855067488685 \tabularnewline
0.38 & 22.0955258588992 & 2.94277998735527 \tabularnewline
0.39 & 22.7263337748911 & 2.90310358692842 \tabularnewline
0.4 & 23.3505180525231 & 2.88831900474218 \tabularnewline
0.41 & 23.9736102328424 & 2.91176136154596 \tabularnewline
0.42 & 24.6026873118919 & 2.97753772555178 \tabularnewline
0.43 & 25.2448103923574 & 3.07954543013003 \tabularnewline
0.44 & 25.9055023414432 & 3.20332074090725 \tabularnewline
0.45 & 26.5876177999124 & 3.33026264482427 \tabularnewline
0.46 & 27.290847483227 & 3.44201483504859 \tabularnewline
0.47 & 28.0119298152883 & 3.52432121605593 \tabularnewline
0.48 & 28.7454645601639 & 3.56953046866755 \tabularnewline
0.49 & 29.4850842349049 & 3.57726777120282 \tabularnewline
0.5 & 30.2246750834584 & 3.55360395738887 \tabularnewline
0.51 & 30.9593621506636 & 3.50870535031942 \tabularnewline
0.52 & 31.6860689161083 & 3.45401447026571 \tabularnewline
0.53 & 32.4035981647173 & 3.39986301834701 \tabularnewline
0.54 & 33.1123166488642 & 3.35279623398968 \tabularnewline
0.55 & 33.8136253990282 & 3.31583793078245 \tabularnewline
0.56 & 34.5094372391297 & 3.28863099524706 \tabularnewline
0.57 & 35.2018570204038 & 3.26955130907097 \tabularnewline
0.58 & 35.8931782755991 & 3.2578784637905 \tabularnewline
0.59 & 36.5861951040931 & 3.25573774603695 \tabularnewline
0.6 & 37.2847108899404 & 3.26897477087966 \tabularnewline
0.61 & 37.9940389277638 & 3.30707910128779 \tabularnewline
0.62 & 38.7212618823082 & 3.38070506166105 \tabularnewline
0.63 & 39.4750608912671 & 3.4986064866842 \tabularnewline
0.64 & 40.265033390816 & 3.66404764430465 \tabularnewline
0.65 & 41.1005609407987 & 3.87236435037104 \tabularnewline
0.66 & 41.9894188231716 & 4.1106812625735 \tabularnewline
0.67 & 42.936393473932 & 4.35993792185069 \tabularnewline
0.68 & 43.9421675783408 & 4.59761619006397 \tabularnewline
0.69 & 45.0026542808954 & 4.80097457220736 \tabularnewline
0.7 & 46.1088502692675 & 4.94925555198333 \tabularnewline
0.71 & 47.2471836120685 & 5.02543705134019 \tabularnewline
0.72 & 48.4002933685598 & 5.01701866810624 \tabularnewline
0.73 & 49.5481970820475 & 4.91677332333783 \tabularnewline
0.74 & 50.669845550496 & 4.72414404085849 \tabularnewline
0.75 & 51.7450790358403 & 4.4465235511413 \tabularnewline
0.76 & 52.7569421272162 & 4.10070877168241 \tabularnewline
0.77 & 53.6941758250168 & 3.7134391268937 \tabularnewline
0.78 & 54.5535162709624 & 3.32036219148158 \tabularnewline
0.79 & 55.3412544033719 & 2.96313534355717 \tabularnewline
0.8 & 56.0734312339022 & 2.68421474106155 \tabularnewline
0.81 & 56.7741392542997 & 2.51827979487401 \tabularnewline
0.82 & 57.4717261005734 & 2.47959444963412 \tabularnewline
0.83 & 58.1932484882314 & 2.55129747962972 \tabularnewline
0.84 & 58.9582080160454 & 2.68658664298649 \tabularnewline
0.85 & 59.7732211473985 & 2.82205927841579 \tabularnewline
0.86 & 60.6295755341195 & 2.89540268838993 \tabularnewline
0.87 & 61.5053530498432 & 2.86248884074127 \tabularnewline
0.88 & 62.3727764329507 & 2.71191478079298 \tabularnewline
0.89 & 63.2096051043549 & 2.47401235585031 \tabularnewline
0.9 & 64.0109805175868 & 2.21942048935742 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277342&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]-0.854863012848523[/C][C]2.20220117268463[/C][/ROW]
[ROW][C]0.02[/C][C]0.863287430682182[/C][C]2.28176516866702[/C][/ROW]
[ROW][C]0.03[/C][C]2.42845626070545[/C][C]1.92960573091616[/C][/ROW]
[ROW][C]0.04[/C][C]3.59457428785846[/C][C]1.45650519156111[/C][/ROW]
[ROW][C]0.05[/C][C]4.40771394286727[/C][C]1.12640077160308[/C][/ROW]
[ROW][C]0.06[/C][C]4.9960645957862[/C][C]0.995500436584688[/C][/ROW]
[ROW][C]0.07[/C][C]5.47263221099826[/C][C]1.00755742929041[/C][/ROW]
[ROW][C]0.08[/C][C]5.90846177076871[/C][C]1.08166493195946[/C][/ROW]
[ROW][C]0.09[/C][C]6.33781644905289[/C][C]1.16629187518902[/C][/ROW]
[ROW][C]0.1[/C][C]6.77278562394351[/C][C]1.24550929032784[/C][/ROW]
[ROW][C]0.11[/C][C]7.21639194121341[/C][C]1.32474443174245[/C][/ROW]
[ROW][C]0.12[/C][C]7.67027854955262[/C][C]1.41478432143883[/C][/ROW]
[ROW][C]0.13[/C][C]8.13706111472048[/C][C]1.5198785861777[/C][/ROW]
[ROW][C]0.14[/C][C]8.61938382321696[/C][C]1.63342979685042[/C][/ROW]
[ROW][C]0.15[/C][C]9.11807021863036[/C][C]1.7415221640291[/C][/ROW]
[ROW][C]0.16[/C][C]9.63107850417381[/C][C]1.83036006074375[/C][/ROW]
[ROW][C]0.17[/C][C]10.1538884943225[/C][C]1.8927616199415[/C][/ROW]
[ROW][C]0.18[/C][C]10.6809838598844[/C][C]1.93059424690875[/C][/ROW]
[ROW][C]0.19[/C][C]11.2075846697322[/C][C]1.95288869371293[/C][/ROW]
[ROW][C]0.2[/C][C]11.7308249555348[/C][C]1.97086795944127[/C][/ROW]
[ROW][C]0.21[/C][C]12.2500011250714[/C][C]1.99299188790745[/C][/ROW]
[ROW][C]0.22[/C][C]12.7660366832451[/C][C]2.02241712740328[/C][/ROW]
[ROW][C]0.23[/C][C]13.2806399803713[/C][C]2.05791204996451[/C][/ROW]
[ROW][C]0.24[/C][C]13.7956544529885[/C][C]2.09710657338996[/C][/ROW]
[ROW][C]0.25[/C][C]14.3128736651932[/C][C]2.13959245977068[/C][/ROW]
[ROW][C]0.26[/C][C]14.8342804096063[/C][C]2.18852370572994[/C][/ROW]
[ROW][C]0.27[/C][C]15.3624350145675[/C][C]2.24981042639264[/C][/ROW]
[ROW][C]0.28[/C][C]15.900673863391[/C][C]2.32958851696671[/C][/ROW]
[ROW][C]0.29[/C][C]16.4528830141735[/C][C]2.43080326361681[/C][/ROW]
[ROW][C]0.3[/C][C]17.0228144870984[/C][C]2.55079718649342[/C][/ROW]
[ROW][C]0.31[/C][C]17.6131213951123[/C][C]2.68061838318853[/C][/ROW]
[ROW][C]0.32[/C][C]18.2244242879465[/C][C]2.80650275187469[/C][/ROW]
[ROW][C]0.33[/C][C]18.8547428366484[/C][C]2.9132698555205[/C][/ROW]
[ROW][C]0.34[/C][C]19.4995339079591[/C][C]2.98802388459679[/C][/ROW]
[ROW][C]0.35[/C][C]20.1524036893043[/C][C]3.02361462401344[/C][/ROW]
[ROW][C]0.36[/C][C]20.8063633486158[/C][C]3.02078783329973[/C][/ROW]
[ROW][C]0.37[/C][C]21.4553341529259[/C][C]2.98855067488685[/C][/ROW]
[ROW][C]0.38[/C][C]22.0955258588992[/C][C]2.94277998735527[/C][/ROW]
[ROW][C]0.39[/C][C]22.7263337748911[/C][C]2.90310358692842[/C][/ROW]
[ROW][C]0.4[/C][C]23.3505180525231[/C][C]2.88831900474218[/C][/ROW]
[ROW][C]0.41[/C][C]23.9736102328424[/C][C]2.91176136154596[/C][/ROW]
[ROW][C]0.42[/C][C]24.6026873118919[/C][C]2.97753772555178[/C][/ROW]
[ROW][C]0.43[/C][C]25.2448103923574[/C][C]3.07954543013003[/C][/ROW]
[ROW][C]0.44[/C][C]25.9055023414432[/C][C]3.20332074090725[/C][/ROW]
[ROW][C]0.45[/C][C]26.5876177999124[/C][C]3.33026264482427[/C][/ROW]
[ROW][C]0.46[/C][C]27.290847483227[/C][C]3.44201483504859[/C][/ROW]
[ROW][C]0.47[/C][C]28.0119298152883[/C][C]3.52432121605593[/C][/ROW]
[ROW][C]0.48[/C][C]28.7454645601639[/C][C]3.56953046866755[/C][/ROW]
[ROW][C]0.49[/C][C]29.4850842349049[/C][C]3.57726777120282[/C][/ROW]
[ROW][C]0.5[/C][C]30.2246750834584[/C][C]3.55360395738887[/C][/ROW]
[ROW][C]0.51[/C][C]30.9593621506636[/C][C]3.50870535031942[/C][/ROW]
[ROW][C]0.52[/C][C]31.6860689161083[/C][C]3.45401447026571[/C][/ROW]
[ROW][C]0.53[/C][C]32.4035981647173[/C][C]3.39986301834701[/C][/ROW]
[ROW][C]0.54[/C][C]33.1123166488642[/C][C]3.35279623398968[/C][/ROW]
[ROW][C]0.55[/C][C]33.8136253990282[/C][C]3.31583793078245[/C][/ROW]
[ROW][C]0.56[/C][C]34.5094372391297[/C][C]3.28863099524706[/C][/ROW]
[ROW][C]0.57[/C][C]35.2018570204038[/C][C]3.26955130907097[/C][/ROW]
[ROW][C]0.58[/C][C]35.8931782755991[/C][C]3.2578784637905[/C][/ROW]
[ROW][C]0.59[/C][C]36.5861951040931[/C][C]3.25573774603695[/C][/ROW]
[ROW][C]0.6[/C][C]37.2847108899404[/C][C]3.26897477087966[/C][/ROW]
[ROW][C]0.61[/C][C]37.9940389277638[/C][C]3.30707910128779[/C][/ROW]
[ROW][C]0.62[/C][C]38.7212618823082[/C][C]3.38070506166105[/C][/ROW]
[ROW][C]0.63[/C][C]39.4750608912671[/C][C]3.4986064866842[/C][/ROW]
[ROW][C]0.64[/C][C]40.265033390816[/C][C]3.66404764430465[/C][/ROW]
[ROW][C]0.65[/C][C]41.1005609407987[/C][C]3.87236435037104[/C][/ROW]
[ROW][C]0.66[/C][C]41.9894188231716[/C][C]4.1106812625735[/C][/ROW]
[ROW][C]0.67[/C][C]42.936393473932[/C][C]4.35993792185069[/C][/ROW]
[ROW][C]0.68[/C][C]43.9421675783408[/C][C]4.59761619006397[/C][/ROW]
[ROW][C]0.69[/C][C]45.0026542808954[/C][C]4.80097457220736[/C][/ROW]
[ROW][C]0.7[/C][C]46.1088502692675[/C][C]4.94925555198333[/C][/ROW]
[ROW][C]0.71[/C][C]47.2471836120685[/C][C]5.02543705134019[/C][/ROW]
[ROW][C]0.72[/C][C]48.4002933685598[/C][C]5.01701866810624[/C][/ROW]
[ROW][C]0.73[/C][C]49.5481970820475[/C][C]4.91677332333783[/C][/ROW]
[ROW][C]0.74[/C][C]50.669845550496[/C][C]4.72414404085849[/C][/ROW]
[ROW][C]0.75[/C][C]51.7450790358403[/C][C]4.4465235511413[/C][/ROW]
[ROW][C]0.76[/C][C]52.7569421272162[/C][C]4.10070877168241[/C][/ROW]
[ROW][C]0.77[/C][C]53.6941758250168[/C][C]3.7134391268937[/C][/ROW]
[ROW][C]0.78[/C][C]54.5535162709624[/C][C]3.32036219148158[/C][/ROW]
[ROW][C]0.79[/C][C]55.3412544033719[/C][C]2.96313534355717[/C][/ROW]
[ROW][C]0.8[/C][C]56.0734312339022[/C][C]2.68421474106155[/C][/ROW]
[ROW][C]0.81[/C][C]56.7741392542997[/C][C]2.51827979487401[/C][/ROW]
[ROW][C]0.82[/C][C]57.4717261005734[/C][C]2.47959444963412[/C][/ROW]
[ROW][C]0.83[/C][C]58.1932484882314[/C][C]2.55129747962972[/C][/ROW]
[ROW][C]0.84[/C][C]58.9582080160454[/C][C]2.68658664298649[/C][/ROW]
[ROW][C]0.85[/C][C]59.7732211473985[/C][C]2.82205927841579[/C][/ROW]
[ROW][C]0.86[/C][C]60.6295755341195[/C][C]2.89540268838993[/C][/ROW]
[ROW][C]0.87[/C][C]61.5053530498432[/C][C]2.86248884074127[/C][/ROW]
[ROW][C]0.88[/C][C]62.3727764329507[/C][C]2.71191478079298[/C][/ROW]
[ROW][C]0.89[/C][C]63.2096051043549[/C][C]2.47401235585031[/C][/ROW]
[ROW][C]0.9[/C][C]64.0109805175868[/C][C]2.21942048935742[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277342&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277342&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
0.01-0.8548630128485232.20220117268463
0.020.8632874306821822.28176516866702
0.032.428456260705451.92960573091616
0.043.594574287858461.45650519156111
0.054.407713942867271.12640077160308
0.064.99606459578620.995500436584688
0.075.472632210998261.00755742929041
0.085.908461770768711.08166493195946
0.096.337816449052891.16629187518902
0.16.772785623943511.24550929032784
0.117.216391941213411.32474443174245
0.127.670278549552621.41478432143883
0.138.137061114720481.5198785861777
0.148.619383823216961.63342979685042
0.159.118070218630361.7415221640291
0.169.631078504173811.83036006074375
0.1710.15388849432251.8927616199415
0.1810.68098385988441.93059424690875
0.1911.20758466973221.95288869371293
0.211.73082495553481.97086795944127
0.2112.25000112507141.99299188790745
0.2212.76603668324512.02241712740328
0.2313.28063998037132.05791204996451
0.2413.79565445298852.09710657338996
0.2514.31287366519322.13959245977068
0.2614.83428040960632.18852370572994
0.2715.36243501456752.24981042639264
0.2815.9006738633912.32958851696671
0.2916.45288301417352.43080326361681
0.317.02281448709842.55079718649342
0.3117.61312139511232.68061838318853
0.3218.22442428794652.80650275187469
0.3318.85474283664842.9132698555205
0.3419.49953390795912.98802388459679
0.3520.15240368930433.02361462401344
0.3620.80636334861583.02078783329973
0.3721.45533415292592.98855067488685
0.3822.09552585889922.94277998735527
0.3922.72633377489112.90310358692842
0.423.35051805252312.88831900474218
0.4123.97361023284242.91176136154596
0.4224.60268731189192.97753772555178
0.4325.24481039235743.07954543013003
0.4425.90550234144323.20332074090725
0.4526.58761779991243.33026264482427
0.4627.2908474832273.44201483504859
0.4728.01192981528833.52432121605593
0.4828.74546456016393.56953046866755
0.4929.48508423490493.57726777120282
0.530.22467508345843.55360395738887
0.5130.95936215066363.50870535031942
0.5231.68606891610833.45401447026571
0.5332.40359816471733.39986301834701
0.5433.11231664886423.35279623398968
0.5533.81362539902823.31583793078245
0.5634.50943723912973.28863099524706
0.5735.20185702040383.26955130907097
0.5835.89317827559913.2578784637905
0.5936.58619510409313.25573774603695
0.637.28471088994043.26897477087966
0.6137.99403892776383.30707910128779
0.6238.72126188230823.38070506166105
0.6339.47506089126713.4986064866842
0.6440.2650333908163.66404764430465
0.6541.10056094079873.87236435037104
0.6641.98941882317164.1106812625735
0.6742.9363934739324.35993792185069
0.6843.94216757834084.59761619006397
0.6945.00265428089544.80097457220736
0.746.10885026926754.94925555198333
0.7147.24718361206855.02543705134019
0.7248.40029336855985.01701866810624
0.7349.54819708204754.91677332333783
0.7450.6698455504964.72414404085849
0.7551.74507903584034.4465235511413
0.7652.75694212721624.10070877168241
0.7753.69417582501683.7134391268937
0.7854.55351627096243.32036219148158
0.7955.34125440337192.96313534355717
0.856.07343123390222.68421474106155
0.8156.77413925429972.51827979487401
0.8257.47172610057342.47959444963412
0.8358.19324848823142.55129747962972
0.8458.95820801604542.68658664298649
0.8559.77322114739852.82205927841579
0.8660.62957553411952.89540268838993
0.8761.50535304984322.86248884074127
0.8862.37277643295072.71191478079298
0.8963.20960510435492.47401235585031
0.964.01098051758682.21942048935742


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.90 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.90 ; par3 = 0.01 ;
R code (references can be found in the software module):
par3 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')