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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, 22 Feb 2012 12:37:22 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Feb/22/t1329932353n01m5lwjeq50c3j.htm/, Retrieved Mon, 06 May 2024 11:44:16 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163133, Retrieved Mon, 06 May 2024 11:44:16 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact77

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] [Opgave4Oefening2S...] [2012-02-22 17:37:22] [08dcc0ed4004cc7fccfdee3f5920290a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
46,83
45,93
45,93
45,93
45,9
45,91
45,85
45,58
45,56
45,5
45,5
45,5
45,51
45,49
45,4
45,38
45,38
45,38
45,49
45,41
44,99
44,98
44,93
44,93
44,91
44,86
44,76
44,89
44,89
45
45,01
45,11
45,05
44,67
44,48
44,48
44,48
44,58
44,79
44,79
44,41
44,41
44,44
44,43
44,36
44,39
44,39
44,41
44,32
44,43
44,82
44,97
44,91
44,79
44,76
44,8
44,65
44,49
44,56
44,4

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=163133&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=163133&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163133&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
0.0144.32977508718140.0360753254585178
0.0244.34416090849630.0313346810254176
0.0344.35891625311580.0262016977722382
0.0444.3715703059960.021375939530793
0.0544.38152403350890.0174688001811906
0.0644.38918467580070.0148968672916288
0.0744.39524536516210.0136524588989659
0.0844.40034002306590.0134949297099585
0.0944.40495053258610.0141526064794813
0.144.40942213779530.0155092489840431
0.1144.41400459800680.0175211565032944
0.1244.41888630426860.0201311382416987
0.1344.4242149854520.0232443818890967
0.1444.43010920213940.0267870049801235
0.1544.43666646450370.0307468415318937
0.1644.44397137777720.0350740000491411
0.1744.45210402899720.039892228242458
0.1844.46114669720580.045223226113508
0.1944.47118642687060.0512326847972404
0.244.48231178137280.0578625467695084
0.2144.49460359824110.0650861679266463
0.2244.50812119038230.0727048158954747
0.2344.52288669389270.0803938499162797
0.2444.53887085405850.0877996983454435
0.2544.55598337156740.0945310178101572
0.2644.57407009564870.100198704338226
0.2744.59291808587280.104483129388977
0.2844.61226817097790.107106165549298
0.2944.63183339723790.108022665928614
0.344.65132088967060.107246722036621
0.3144.6704542508880.104876618082444
0.3244.68899369796210.101206673439707
0.3344.70675161471850.0965347163976201
0.3444.72360195797910.0913345625670364
0.3544.73948286593840.0859295177537145
0.3644.75439274009050.0806828101139797
0.3744.76838088679550.0759072054532814
0.3844.78153441095090.0718019414438701
0.3944.79396338426380.0684380014762557
0.444.80578633636780.0658077119884982
0.4144.81711785582880.0638341092429526
0.4244.82805960105260.0623880985933021
0.4344.83869540335520.0612814003802485
0.4444.84909050763950.060388386345591
0.4544.85929444664050.0596337841817496
0.4644.86934666244150.0589469424809917
0.4744.87928381173410.0583301668784531
0.4844.88914770892390.0579417755842922
0.4944.89899302080120.0578042286130607
0.544.90889404815430.0580619655339376
0.5144.91895012874120.0590448382712306
0.5244.9292893070760.0607787145705125
0.5344.94006991332480.0635706148742471
0.5444.95147959959010.0675984208539259
0.5544.96373126730720.0730208757921544
0.5644.97705528497870.0799487514466748
0.5744.99168754350070.0883661590926046
0.5845.00785329673820.0981570735925287
0.5945.02574739290320.109018803011429
0.645.04551233829480.120638045522526
0.6145.06721648636450.132392375019796
0.6245.09083529292520.143666874551859
0.6345.11623879846470.153792232938539
0.6445.14318812661110.162014448409269
0.6545.1713427814050.167769798978052
0.6645.20027900333510.170650502933992
0.6745.22951768175130.170370304944795
0.6845.25855870355470.166964768163954
0.6945.28691754413330.160648412086808
0.745.31415967815190.151883220569196
0.7145.3399291103360.141241130074374
0.7245.36396885612710.129421974069065
0.7345.38613316190680.117067843743538
0.7445.40639311840040.104857809883522
0.7545.42483854528340.0933425763648112
0.7645.44167918857970.0830915909707132
0.7745.45724718593830.0745919520396041
0.7845.47200051830990.0684569232118904
0.7945.48652417637420.0653214620202134
0.845.50152269839910.0659559782372542
0.8145.51779549983770.070792165696986
0.8245.53618611653750.0799048278900661
0.8345.55749925476850.0927633893252607
0.8445.58238619266060.108217608248743
0.8545.61120951872830.124558643090216
0.8645.64391078648290.139680360420017
0.8745.67991598052770.15116928413606
0.8845.71811942669850.156766451295531
0.8945.75698462967480.154815983521053
0.945.79479511698760.144834312775863
0.9145.83009616458350.127786440481704
0.9245.86241438559120.106259459678488
0.9345.89342924085060.0848104566854641
0.9445.92878845446050.0723213597630197
0.9545.9803374014790.0886588707226088
0.9646.06702807613560.156377972493558
0.9746.21002159774330.288798502170419
0.9846.41609829242660.486714742138008
0.9946.65119941270640.713505816225978

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 44.3297750871814 & 0.0360753254585178 \tabularnewline
0.02 & 44.3441609084963 & 0.0313346810254176 \tabularnewline
0.03 & 44.3589162531158 & 0.0262016977722382 \tabularnewline
0.04 & 44.371570305996 & 0.021375939530793 \tabularnewline
0.05 & 44.3815240335089 & 0.0174688001811906 \tabularnewline
0.06 & 44.3891846758007 & 0.0148968672916288 \tabularnewline
0.07 & 44.3952453651621 & 0.0136524588989659 \tabularnewline
0.08 & 44.4003400230659 & 0.0134949297099585 \tabularnewline
0.09 & 44.4049505325861 & 0.0141526064794813 \tabularnewline
0.1 & 44.4094221377953 & 0.0155092489840431 \tabularnewline
0.11 & 44.4140045980068 & 0.0175211565032944 \tabularnewline
0.12 & 44.4188863042686 & 0.0201311382416987 \tabularnewline
0.13 & 44.424214985452 & 0.0232443818890967 \tabularnewline
0.14 & 44.4301092021394 & 0.0267870049801235 \tabularnewline
0.15 & 44.4366664645037 & 0.0307468415318937 \tabularnewline
0.16 & 44.4439713777772 & 0.0350740000491411 \tabularnewline
0.17 & 44.4521040289972 & 0.039892228242458 \tabularnewline
0.18 & 44.4611466972058 & 0.045223226113508 \tabularnewline
0.19 & 44.4711864268706 & 0.0512326847972404 \tabularnewline
0.2 & 44.4823117813728 & 0.0578625467695084 \tabularnewline
0.21 & 44.4946035982411 & 0.0650861679266463 \tabularnewline
0.22 & 44.5081211903823 & 0.0727048158954747 \tabularnewline
0.23 & 44.5228866938927 & 0.0803938499162797 \tabularnewline
0.24 & 44.5388708540585 & 0.0877996983454435 \tabularnewline
0.25 & 44.5559833715674 & 0.0945310178101572 \tabularnewline
0.26 & 44.5740700956487 & 0.100198704338226 \tabularnewline
0.27 & 44.5929180858728 & 0.104483129388977 \tabularnewline
0.28 & 44.6122681709779 & 0.107106165549298 \tabularnewline
0.29 & 44.6318333972379 & 0.108022665928614 \tabularnewline
0.3 & 44.6513208896706 & 0.107246722036621 \tabularnewline
0.31 & 44.670454250888 & 0.104876618082444 \tabularnewline
0.32 & 44.6889936979621 & 0.101206673439707 \tabularnewline
0.33 & 44.7067516147185 & 0.0965347163976201 \tabularnewline
0.34 & 44.7236019579791 & 0.0913345625670364 \tabularnewline
0.35 & 44.7394828659384 & 0.0859295177537145 \tabularnewline
0.36 & 44.7543927400905 & 0.0806828101139797 \tabularnewline
0.37 & 44.7683808867955 & 0.0759072054532814 \tabularnewline
0.38 & 44.7815344109509 & 0.0718019414438701 \tabularnewline
0.39 & 44.7939633842638 & 0.0684380014762557 \tabularnewline
0.4 & 44.8057863363678 & 0.0658077119884982 \tabularnewline
0.41 & 44.8171178558288 & 0.0638341092429526 \tabularnewline
0.42 & 44.8280596010526 & 0.0623880985933021 \tabularnewline
0.43 & 44.8386954033552 & 0.0612814003802485 \tabularnewline
0.44 & 44.8490905076395 & 0.060388386345591 \tabularnewline
0.45 & 44.8592944466405 & 0.0596337841817496 \tabularnewline
0.46 & 44.8693466624415 & 0.0589469424809917 \tabularnewline
0.47 & 44.8792838117341 & 0.0583301668784531 \tabularnewline
0.48 & 44.8891477089239 & 0.0579417755842922 \tabularnewline
0.49 & 44.8989930208012 & 0.0578042286130607 \tabularnewline
0.5 & 44.9088940481543 & 0.0580619655339376 \tabularnewline
0.51 & 44.9189501287412 & 0.0590448382712306 \tabularnewline
0.52 & 44.929289307076 & 0.0607787145705125 \tabularnewline
0.53 & 44.9400699133248 & 0.0635706148742471 \tabularnewline
0.54 & 44.9514795995901 & 0.0675984208539259 \tabularnewline
0.55 & 44.9637312673072 & 0.0730208757921544 \tabularnewline
0.56 & 44.9770552849787 & 0.0799487514466748 \tabularnewline
0.57 & 44.9916875435007 & 0.0883661590926046 \tabularnewline
0.58 & 45.0078532967382 & 0.0981570735925287 \tabularnewline
0.59 & 45.0257473929032 & 0.109018803011429 \tabularnewline
0.6 & 45.0455123382948 & 0.120638045522526 \tabularnewline
0.61 & 45.0672164863645 & 0.132392375019796 \tabularnewline
0.62 & 45.0908352929252 & 0.143666874551859 \tabularnewline
0.63 & 45.1162387984647 & 0.153792232938539 \tabularnewline
0.64 & 45.1431881266111 & 0.162014448409269 \tabularnewline
0.65 & 45.171342781405 & 0.167769798978052 \tabularnewline
0.66 & 45.2002790033351 & 0.170650502933992 \tabularnewline
0.67 & 45.2295176817513 & 0.170370304944795 \tabularnewline
0.68 & 45.2585587035547 & 0.166964768163954 \tabularnewline
0.69 & 45.2869175441333 & 0.160648412086808 \tabularnewline
0.7 & 45.3141596781519 & 0.151883220569196 \tabularnewline
0.71 & 45.339929110336 & 0.141241130074374 \tabularnewline
0.72 & 45.3639688561271 & 0.129421974069065 \tabularnewline
0.73 & 45.3861331619068 & 0.117067843743538 \tabularnewline
0.74 & 45.4063931184004 & 0.104857809883522 \tabularnewline
0.75 & 45.4248385452834 & 0.0933425763648112 \tabularnewline
0.76 & 45.4416791885797 & 0.0830915909707132 \tabularnewline
0.77 & 45.4572471859383 & 0.0745919520396041 \tabularnewline
0.78 & 45.4720005183099 & 0.0684569232118904 \tabularnewline
0.79 & 45.4865241763742 & 0.0653214620202134 \tabularnewline
0.8 & 45.5015226983991 & 0.0659559782372542 \tabularnewline
0.81 & 45.5177954998377 & 0.070792165696986 \tabularnewline
0.82 & 45.5361861165375 & 0.0799048278900661 \tabularnewline
0.83 & 45.5574992547685 & 0.0927633893252607 \tabularnewline
0.84 & 45.5823861926606 & 0.108217608248743 \tabularnewline
0.85 & 45.6112095187283 & 0.124558643090216 \tabularnewline
0.86 & 45.6439107864829 & 0.139680360420017 \tabularnewline
0.87 & 45.6799159805277 & 0.15116928413606 \tabularnewline
0.88 & 45.7181194266985 & 0.156766451295531 \tabularnewline
0.89 & 45.7569846296748 & 0.154815983521053 \tabularnewline
0.9 & 45.7947951169876 & 0.144834312775863 \tabularnewline
0.91 & 45.8300961645835 & 0.127786440481704 \tabularnewline
0.92 & 45.8624143855912 & 0.106259459678488 \tabularnewline
0.93 & 45.8934292408506 & 0.0848104566854641 \tabularnewline
0.94 & 45.9287884544605 & 0.0723213597630197 \tabularnewline
0.95 & 45.980337401479 & 0.0886588707226088 \tabularnewline
0.96 & 46.0670280761356 & 0.156377972493558 \tabularnewline
0.97 & 46.2100215977433 & 0.288798502170419 \tabularnewline
0.98 & 46.4160982924266 & 0.486714742138008 \tabularnewline
0.99 & 46.6511994127064 & 0.713505816225978 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163133&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]44.3297750871814[/C][C]0.0360753254585178[/C][/ROW]
[ROW][C]0.02[/C][C]44.3441609084963[/C][C]0.0313346810254176[/C][/ROW]
[ROW][C]0.03[/C][C]44.3589162531158[/C][C]0.0262016977722382[/C][/ROW]
[ROW][C]0.04[/C][C]44.371570305996[/C][C]0.021375939530793[/C][/ROW]
[ROW][C]0.05[/C][C]44.3815240335089[/C][C]0.0174688001811906[/C][/ROW]
[ROW][C]0.06[/C][C]44.3891846758007[/C][C]0.0148968672916288[/C][/ROW]
[ROW][C]0.07[/C][C]44.3952453651621[/C][C]0.0136524588989659[/C][/ROW]
[ROW][C]0.08[/C][C]44.4003400230659[/C][C]0.0134949297099585[/C][/ROW]
[ROW][C]0.09[/C][C]44.4049505325861[/C][C]0.0141526064794813[/C][/ROW]
[ROW][C]0.1[/C][C]44.4094221377953[/C][C]0.0155092489840431[/C][/ROW]
[ROW][C]0.11[/C][C]44.4140045980068[/C][C]0.0175211565032944[/C][/ROW]
[ROW][C]0.12[/C][C]44.4188863042686[/C][C]0.0201311382416987[/C][/ROW]
[ROW][C]0.13[/C][C]44.424214985452[/C][C]0.0232443818890967[/C][/ROW]
[ROW][C]0.14[/C][C]44.4301092021394[/C][C]0.0267870049801235[/C][/ROW]
[ROW][C]0.15[/C][C]44.4366664645037[/C][C]0.0307468415318937[/C][/ROW]
[ROW][C]0.16[/C][C]44.4439713777772[/C][C]0.0350740000491411[/C][/ROW]
[ROW][C]0.17[/C][C]44.4521040289972[/C][C]0.039892228242458[/C][/ROW]
[ROW][C]0.18[/C][C]44.4611466972058[/C][C]0.045223226113508[/C][/ROW]
[ROW][C]0.19[/C][C]44.4711864268706[/C][C]0.0512326847972404[/C][/ROW]
[ROW][C]0.2[/C][C]44.4823117813728[/C][C]0.0578625467695084[/C][/ROW]
[ROW][C]0.21[/C][C]44.4946035982411[/C][C]0.0650861679266463[/C][/ROW]
[ROW][C]0.22[/C][C]44.5081211903823[/C][C]0.0727048158954747[/C][/ROW]
[ROW][C]0.23[/C][C]44.5228866938927[/C][C]0.0803938499162797[/C][/ROW]
[ROW][C]0.24[/C][C]44.5388708540585[/C][C]0.0877996983454435[/C][/ROW]
[ROW][C]0.25[/C][C]44.5559833715674[/C][C]0.0945310178101572[/C][/ROW]
[ROW][C]0.26[/C][C]44.5740700956487[/C][C]0.100198704338226[/C][/ROW]
[ROW][C]0.27[/C][C]44.5929180858728[/C][C]0.104483129388977[/C][/ROW]
[ROW][C]0.28[/C][C]44.6122681709779[/C][C]0.107106165549298[/C][/ROW]
[ROW][C]0.29[/C][C]44.6318333972379[/C][C]0.108022665928614[/C][/ROW]
[ROW][C]0.3[/C][C]44.6513208896706[/C][C]0.107246722036621[/C][/ROW]
[ROW][C]0.31[/C][C]44.670454250888[/C][C]0.104876618082444[/C][/ROW]
[ROW][C]0.32[/C][C]44.6889936979621[/C][C]0.101206673439707[/C][/ROW]
[ROW][C]0.33[/C][C]44.7067516147185[/C][C]0.0965347163976201[/C][/ROW]
[ROW][C]0.34[/C][C]44.7236019579791[/C][C]0.0913345625670364[/C][/ROW]
[ROW][C]0.35[/C][C]44.7394828659384[/C][C]0.0859295177537145[/C][/ROW]
[ROW][C]0.36[/C][C]44.7543927400905[/C][C]0.0806828101139797[/C][/ROW]
[ROW][C]0.37[/C][C]44.7683808867955[/C][C]0.0759072054532814[/C][/ROW]
[ROW][C]0.38[/C][C]44.7815344109509[/C][C]0.0718019414438701[/C][/ROW]
[ROW][C]0.39[/C][C]44.7939633842638[/C][C]0.0684380014762557[/C][/ROW]
[ROW][C]0.4[/C][C]44.8057863363678[/C][C]0.0658077119884982[/C][/ROW]
[ROW][C]0.41[/C][C]44.8171178558288[/C][C]0.0638341092429526[/C][/ROW]
[ROW][C]0.42[/C][C]44.8280596010526[/C][C]0.0623880985933021[/C][/ROW]
[ROW][C]0.43[/C][C]44.8386954033552[/C][C]0.0612814003802485[/C][/ROW]
[ROW][C]0.44[/C][C]44.8490905076395[/C][C]0.060388386345591[/C][/ROW]
[ROW][C]0.45[/C][C]44.8592944466405[/C][C]0.0596337841817496[/C][/ROW]
[ROW][C]0.46[/C][C]44.8693466624415[/C][C]0.0589469424809917[/C][/ROW]
[ROW][C]0.47[/C][C]44.8792838117341[/C][C]0.0583301668784531[/C][/ROW]
[ROW][C]0.48[/C][C]44.8891477089239[/C][C]0.0579417755842922[/C][/ROW]
[ROW][C]0.49[/C][C]44.8989930208012[/C][C]0.0578042286130607[/C][/ROW]
[ROW][C]0.5[/C][C]44.9088940481543[/C][C]0.0580619655339376[/C][/ROW]
[ROW][C]0.51[/C][C]44.9189501287412[/C][C]0.0590448382712306[/C][/ROW]
[ROW][C]0.52[/C][C]44.929289307076[/C][C]0.0607787145705125[/C][/ROW]
[ROW][C]0.53[/C][C]44.9400699133248[/C][C]0.0635706148742471[/C][/ROW]
[ROW][C]0.54[/C][C]44.9514795995901[/C][C]0.0675984208539259[/C][/ROW]
[ROW][C]0.55[/C][C]44.9637312673072[/C][C]0.0730208757921544[/C][/ROW]
[ROW][C]0.56[/C][C]44.9770552849787[/C][C]0.0799487514466748[/C][/ROW]
[ROW][C]0.57[/C][C]44.9916875435007[/C][C]0.0883661590926046[/C][/ROW]
[ROW][C]0.58[/C][C]45.0078532967382[/C][C]0.0981570735925287[/C][/ROW]
[ROW][C]0.59[/C][C]45.0257473929032[/C][C]0.109018803011429[/C][/ROW]
[ROW][C]0.6[/C][C]45.0455123382948[/C][C]0.120638045522526[/C][/ROW]
[ROW][C]0.61[/C][C]45.0672164863645[/C][C]0.132392375019796[/C][/ROW]
[ROW][C]0.62[/C][C]45.0908352929252[/C][C]0.143666874551859[/C][/ROW]
[ROW][C]0.63[/C][C]45.1162387984647[/C][C]0.153792232938539[/C][/ROW]
[ROW][C]0.64[/C][C]45.1431881266111[/C][C]0.162014448409269[/C][/ROW]
[ROW][C]0.65[/C][C]45.171342781405[/C][C]0.167769798978052[/C][/ROW]
[ROW][C]0.66[/C][C]45.2002790033351[/C][C]0.170650502933992[/C][/ROW]
[ROW][C]0.67[/C][C]45.2295176817513[/C][C]0.170370304944795[/C][/ROW]
[ROW][C]0.68[/C][C]45.2585587035547[/C][C]0.166964768163954[/C][/ROW]
[ROW][C]0.69[/C][C]45.2869175441333[/C][C]0.160648412086808[/C][/ROW]
[ROW][C]0.7[/C][C]45.3141596781519[/C][C]0.151883220569196[/C][/ROW]
[ROW][C]0.71[/C][C]45.339929110336[/C][C]0.141241130074374[/C][/ROW]
[ROW][C]0.72[/C][C]45.3639688561271[/C][C]0.129421974069065[/C][/ROW]
[ROW][C]0.73[/C][C]45.3861331619068[/C][C]0.117067843743538[/C][/ROW]
[ROW][C]0.74[/C][C]45.4063931184004[/C][C]0.104857809883522[/C][/ROW]
[ROW][C]0.75[/C][C]45.4248385452834[/C][C]0.0933425763648112[/C][/ROW]
[ROW][C]0.76[/C][C]45.4416791885797[/C][C]0.0830915909707132[/C][/ROW]
[ROW][C]0.77[/C][C]45.4572471859383[/C][C]0.0745919520396041[/C][/ROW]
[ROW][C]0.78[/C][C]45.4720005183099[/C][C]0.0684569232118904[/C][/ROW]
[ROW][C]0.79[/C][C]45.4865241763742[/C][C]0.0653214620202134[/C][/ROW]
[ROW][C]0.8[/C][C]45.5015226983991[/C][C]0.0659559782372542[/C][/ROW]
[ROW][C]0.81[/C][C]45.5177954998377[/C][C]0.070792165696986[/C][/ROW]
[ROW][C]0.82[/C][C]45.5361861165375[/C][C]0.0799048278900661[/C][/ROW]
[ROW][C]0.83[/C][C]45.5574992547685[/C][C]0.0927633893252607[/C][/ROW]
[ROW][C]0.84[/C][C]45.5823861926606[/C][C]0.108217608248743[/C][/ROW]
[ROW][C]0.85[/C][C]45.6112095187283[/C][C]0.124558643090216[/C][/ROW]
[ROW][C]0.86[/C][C]45.6439107864829[/C][C]0.139680360420017[/C][/ROW]
[ROW][C]0.87[/C][C]45.6799159805277[/C][C]0.15116928413606[/C][/ROW]
[ROW][C]0.88[/C][C]45.7181194266985[/C][C]0.156766451295531[/C][/ROW]
[ROW][C]0.89[/C][C]45.7569846296748[/C][C]0.154815983521053[/C][/ROW]
[ROW][C]0.9[/C][C]45.7947951169876[/C][C]0.144834312775863[/C][/ROW]
[ROW][C]0.91[/C][C]45.8300961645835[/C][C]0.127786440481704[/C][/ROW]
[ROW][C]0.92[/C][C]45.8624143855912[/C][C]0.106259459678488[/C][/ROW]
[ROW][C]0.93[/C][C]45.8934292408506[/C][C]0.0848104566854641[/C][/ROW]
[ROW][C]0.94[/C][C]45.9287884544605[/C][C]0.0723213597630197[/C][/ROW]
[ROW][C]0.95[/C][C]45.980337401479[/C][C]0.0886588707226088[/C][/ROW]
[ROW][C]0.96[/C][C]46.0670280761356[/C][C]0.156377972493558[/C][/ROW]
[ROW][C]0.97[/C][C]46.2100215977433[/C][C]0.288798502170419[/C][/ROW]
[ROW][C]0.98[/C][C]46.4160982924266[/C][C]0.486714742138008[/C][/ROW]
[ROW][C]0.99[/C][C]46.6511994127064[/C][C]0.713505816225978[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163133&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163133&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
0.0144.32977508718140.0360753254585178
0.0244.34416090849630.0313346810254176
0.0344.35891625311580.0262016977722382
0.0444.3715703059960.021375939530793
0.0544.38152403350890.0174688001811906
0.0644.38918467580070.0148968672916288
0.0744.39524536516210.0136524588989659
0.0844.40034002306590.0134949297099585
0.0944.40495053258610.0141526064794813
0.144.40942213779530.0155092489840431
0.1144.41400459800680.0175211565032944
0.1244.41888630426860.0201311382416987
0.1344.4242149854520.0232443818890967
0.1444.43010920213940.0267870049801235
0.1544.43666646450370.0307468415318937
0.1644.44397137777720.0350740000491411
0.1744.45210402899720.039892228242458
0.1844.46114669720580.045223226113508
0.1944.47118642687060.0512326847972404
0.244.48231178137280.0578625467695084
0.2144.49460359824110.0650861679266463
0.2244.50812119038230.0727048158954747
0.2344.52288669389270.0803938499162797
0.2444.53887085405850.0877996983454435
0.2544.55598337156740.0945310178101572
0.2644.57407009564870.100198704338226
0.2744.59291808587280.104483129388977
0.2844.61226817097790.107106165549298
0.2944.63183339723790.108022665928614
0.344.65132088967060.107246722036621
0.3144.6704542508880.104876618082444
0.3244.68899369796210.101206673439707
0.3344.70675161471850.0965347163976201
0.3444.72360195797910.0913345625670364
0.3544.73948286593840.0859295177537145
0.3644.75439274009050.0806828101139797
0.3744.76838088679550.0759072054532814
0.3844.78153441095090.0718019414438701
0.3944.79396338426380.0684380014762557
0.444.80578633636780.0658077119884982
0.4144.81711785582880.0638341092429526
0.4244.82805960105260.0623880985933021
0.4344.83869540335520.0612814003802485
0.4444.84909050763950.060388386345591
0.4544.85929444664050.0596337841817496
0.4644.86934666244150.0589469424809917
0.4744.87928381173410.0583301668784531
0.4844.88914770892390.0579417755842922
0.4944.89899302080120.0578042286130607
0.544.90889404815430.0580619655339376
0.5144.91895012874120.0590448382712306
0.5244.9292893070760.0607787145705125
0.5344.94006991332480.0635706148742471
0.5444.95147959959010.0675984208539259
0.5544.96373126730720.0730208757921544
0.5644.97705528497870.0799487514466748
0.5744.99168754350070.0883661590926046
0.5845.00785329673820.0981570735925287
0.5945.02574739290320.109018803011429
0.645.04551233829480.120638045522526
0.6145.06721648636450.132392375019796
0.6245.09083529292520.143666874551859
0.6345.11623879846470.153792232938539
0.6445.14318812661110.162014448409269
0.6545.1713427814050.167769798978052
0.6645.20027900333510.170650502933992
0.6745.22951768175130.170370304944795
0.6845.25855870355470.166964768163954
0.6945.28691754413330.160648412086808
0.745.31415967815190.151883220569196
0.7145.3399291103360.141241130074374
0.7245.36396885612710.129421974069065
0.7345.38613316190680.117067843743538
0.7445.40639311840040.104857809883522
0.7545.42483854528340.0933425763648112
0.7645.44167918857970.0830915909707132
0.7745.45724718593830.0745919520396041
0.7845.47200051830990.0684569232118904
0.7945.48652417637420.0653214620202134
0.845.50152269839910.0659559782372542
0.8145.51779549983770.070792165696986
0.8245.53618611653750.0799048278900661
0.8345.55749925476850.0927633893252607
0.8445.58238619266060.108217608248743
0.8545.61120951872830.124558643090216
0.8645.64391078648290.139680360420017
0.8745.67991598052770.15116928413606
0.8845.71811942669850.156766451295531
0.8945.75698462967480.154815983521053
0.945.79479511698760.144834312775863
0.9145.83009616458350.127786440481704
0.9245.86241438559120.106259459678488
0.9345.89342924085060.0848104566854641
0.9445.92878845446050.0723213597630197
0.9545.9803374014790.0886588707226088
0.9646.06702807613560.156377972493558
0.9746.21002159774330.288798502170419
0.9846.41609829242660.486714742138008
0.9946.65119941270640.713505816225978


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')