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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, 03 Jun 2010 14:50:39 +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/2010/Jun/03/t12755766632lvc91joxw9a6m1.htm/, Retrieved Sun, 05 May 2024 11:17:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=77392, Retrieved Sun, 05 May 2024 11:17:44 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDGP1W42
Estimated Impact225

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [reeks 1] [2010-05-24 14:23:50] [d1b5c9274b6f3a044d3a238a9a6b4dd1]
- RMPD  [Quartiles] [] [2010-06-01 15:07:50] [d1b5c9274b6f3a044d3a238a9a6b4dd1]
- RMPD      [Harrell-Davis Quantiles] [] [2010-06-03 14:50:39] [07915b1f88a41fb8d82e27c5eaa7bbed] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
25000
25284
12434,5
33955
14980,5
50831
4198,5
34566
35000
11055,5
20807
21887,29
16977,5
19613,5
14570
24416,5
16825,5
13980
21450,5
27239,5
19078,5
20459,1
20373,5
19306,5
16723,16
11638
20917
17903,5
28218,5
15268
21555
23143
16691
17932,5
30512
41931,5
10853,5
25939,5
14900
25127,76
22063,5
25306,5
31217,5
23201,5
38148
26264
16359
27945,5
16218,5
36003,5
20323,5
20100,5
18741
24426,75
19174,5
13766
18999
21745
34469
13248
16218,5
36003,5
20323,5
20100,5
18741
24426,75
19174,5
13766
18999
21745
34469
13248

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 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 & 12 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77392&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]12 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=77392&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77392&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 time12 seconds
R Server'George Udny Yule' @ 72.249.76.132






Harrell-Davis Quantiles
quantilesvaluestandard error
0.015894.809874300735035.77127393426
0.028049.636572901333170.31281320749
0.039777.901573863331834.48761372436
0.0410905.85634266081206.19578616316
0.0511619.88785513271021.84036643553
0.0612120.5943587345971.40756565019
0.0712519.8984958629925.392379855772
0.0812862.7695682322866.513365133565
0.0913165.4192194813810.223749103714
0.113436.7259736050773.021121445526
0.1113685.1397855237762.044967825402
0.1213919.0490551921774.72611909626
0.1314145.5637910576803.088014131931
0.1414369.6384923231838.118698484252
0.1514593.9020883825872.319832569224
0.1614819.0087036208900.451647145102
0.1715044.2351435673919.55152802315
0.1815268.1219136004928.65018918608
0.1915489.0441704676928.631703560045
0.215705.6589794429921.959533417995
0.2115917.2031869782912.299390651769
0.2216123.6277102404903.858599540068
0.2316325.5653621658900.400234014453
0.2416524.1484242006904.276200100305
0.2516720.7170066649915.718299632834
0.2616916.481368353932.637441304986
0.2717112.2116907081951.255953312257
0.2817308.0222552775966.828554481224
0.2917503.2945272299974.97732827849
0.317696.7514429846972.301261102694
0.3117886.6619076994957.050326400198
0.3218071.1283309496929.395266798299
0.3318248.3964356938891.3070092318
0.3418417.1272804067846.117756232487
0.3518576.5845867418798.001877326937
0.3618726.7116952458751.214080139864
0.3718868.0963123448709.644822365568
0.3819001.8424705485676.008152935001
0.3919129.3839109194651.701471841984
0.419252.2793798221636.621785724077
0.4119372.0280245935629.43166067555
0.4219489.9337553843628.187146874925
0.4319607.0338400395630.81440870706
0.4419724.0923514551635.558816551105
0.4519841.6464839115641.359136896161
0.4619960.0855621723647.84933375644
0.4720079.7399970543655.288046666337
0.4820200.9603544159664.299637310687
0.4920324.1736932364675.783362297834
0.520449.9130859353690.533311448489
0.5120578.8241493734709.07653802022
0.5220711.6572635420731.7610289782
0.5320849.2547127431758.830873729172
0.5420992.5383922530790.545172344235
0.5521142.4974822258827.151647574249
0.5621300.16905404869.052336387924
0.5721466.6006318311916.43066788601
0.5821642.7843627537969.095220275007
0.5921829.55839377251026.11854929525
0.622027.48133389141085.61481885910
0.6122236.69772859251144.74977551660
0.6222456.82275827821199.97573717845
0.6322686.87939821451247.37787258684
0.6422925.31865006551283.41882596510
0.6523170.14269845571305.54610908187
0.6623419.13368919461312.69171456513
0.6723670.17084677431305.86200147733
0.6823921.60036184381288.16007521043
0.6924172.61013235211264.89876502749
0.724423.55787029571243.06027610396
0.7124676.20693153081230.78972393865
0.7224933.83769766191236.48704290022
0.7325201.21954390211267.64305234715
0.7425484.44422067131329.98503961762
0.7525790.63077421691426.63623862094
0.7626127.51162680621557.84774087606
0.7726502.89956656931721.1675321419
0.7826924.02204117971911.21835871421
0.7927396.70406776142119.51528841037
0.827924.39970615722333.87813084084
0.8128507.12759978472537.99954346676
0.8229140.46019236312711.86734320866
0.8329814.82903462922833.25145800629
0.8430515.49427398782880.94399349372
0.8531223.52163237672839.26305446153
0.8631917.96090828052702.98870867617
0.8732579.12370887732481.33487719228
0.8833192.50330770952199.26894043608
0.8933752.65038709831895.32857343576
0.934266.42881380691616.51548815342
0.9134755.63136124341412.41013745291
0.9235259.80885032961330.57477326893
0.9335841.052232231413.85521087824
0.9436593.08490121421699.71318442762
0.9537656.32675044972220.63373229313
0.9639232.23265781523008.6433894018
0.9741556.22176131704116.95937924287
0.9844721.33280214875619.52154270099
0.9948260.20851241097398.34201931474

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 5894.80987430073 & 5035.77127393426 \tabularnewline
0.02 & 8049.63657290133 & 3170.31281320749 \tabularnewline
0.03 & 9777.90157386333 & 1834.48761372436 \tabularnewline
0.04 & 10905.8563426608 & 1206.19578616316 \tabularnewline
0.05 & 11619.8878551327 & 1021.84036643553 \tabularnewline
0.06 & 12120.5943587345 & 971.40756565019 \tabularnewline
0.07 & 12519.8984958629 & 925.392379855772 \tabularnewline
0.08 & 12862.7695682322 & 866.513365133565 \tabularnewline
0.09 & 13165.4192194813 & 810.223749103714 \tabularnewline
0.1 & 13436.7259736050 & 773.021121445526 \tabularnewline
0.11 & 13685.1397855237 & 762.044967825402 \tabularnewline
0.12 & 13919.0490551921 & 774.72611909626 \tabularnewline
0.13 & 14145.5637910576 & 803.088014131931 \tabularnewline
0.14 & 14369.6384923231 & 838.118698484252 \tabularnewline
0.15 & 14593.9020883825 & 872.319832569224 \tabularnewline
0.16 & 14819.0087036208 & 900.451647145102 \tabularnewline
0.17 & 15044.2351435673 & 919.55152802315 \tabularnewline
0.18 & 15268.1219136004 & 928.65018918608 \tabularnewline
0.19 & 15489.0441704676 & 928.631703560045 \tabularnewline
0.2 & 15705.6589794429 & 921.959533417995 \tabularnewline
0.21 & 15917.2031869782 & 912.299390651769 \tabularnewline
0.22 & 16123.6277102404 & 903.858599540068 \tabularnewline
0.23 & 16325.5653621658 & 900.400234014453 \tabularnewline
0.24 & 16524.1484242006 & 904.276200100305 \tabularnewline
0.25 & 16720.7170066649 & 915.718299632834 \tabularnewline
0.26 & 16916.481368353 & 932.637441304986 \tabularnewline
0.27 & 17112.2116907081 & 951.255953312257 \tabularnewline
0.28 & 17308.0222552775 & 966.828554481224 \tabularnewline
0.29 & 17503.2945272299 & 974.97732827849 \tabularnewline
0.3 & 17696.7514429846 & 972.301261102694 \tabularnewline
0.31 & 17886.6619076994 & 957.050326400198 \tabularnewline
0.32 & 18071.1283309496 & 929.395266798299 \tabularnewline
0.33 & 18248.3964356938 & 891.3070092318 \tabularnewline
0.34 & 18417.1272804067 & 846.117756232487 \tabularnewline
0.35 & 18576.5845867418 & 798.001877326937 \tabularnewline
0.36 & 18726.7116952458 & 751.214080139864 \tabularnewline
0.37 & 18868.0963123448 & 709.644822365568 \tabularnewline
0.38 & 19001.8424705485 & 676.008152935001 \tabularnewline
0.39 & 19129.3839109194 & 651.701471841984 \tabularnewline
0.4 & 19252.2793798221 & 636.621785724077 \tabularnewline
0.41 & 19372.0280245935 & 629.43166067555 \tabularnewline
0.42 & 19489.9337553843 & 628.187146874925 \tabularnewline
0.43 & 19607.0338400395 & 630.81440870706 \tabularnewline
0.44 & 19724.0923514551 & 635.558816551105 \tabularnewline
0.45 & 19841.6464839115 & 641.359136896161 \tabularnewline
0.46 & 19960.0855621723 & 647.84933375644 \tabularnewline
0.47 & 20079.7399970543 & 655.288046666337 \tabularnewline
0.48 & 20200.9603544159 & 664.299637310687 \tabularnewline
0.49 & 20324.1736932364 & 675.783362297834 \tabularnewline
0.5 & 20449.9130859353 & 690.533311448489 \tabularnewline
0.51 & 20578.8241493734 & 709.07653802022 \tabularnewline
0.52 & 20711.6572635420 & 731.7610289782 \tabularnewline
0.53 & 20849.2547127431 & 758.830873729172 \tabularnewline
0.54 & 20992.5383922530 & 790.545172344235 \tabularnewline
0.55 & 21142.4974822258 & 827.151647574249 \tabularnewline
0.56 & 21300.16905404 & 869.052336387924 \tabularnewline
0.57 & 21466.6006318311 & 916.43066788601 \tabularnewline
0.58 & 21642.7843627537 & 969.095220275007 \tabularnewline
0.59 & 21829.5583937725 & 1026.11854929525 \tabularnewline
0.6 & 22027.4813338914 & 1085.61481885910 \tabularnewline
0.61 & 22236.6977285925 & 1144.74977551660 \tabularnewline
0.62 & 22456.8227582782 & 1199.97573717845 \tabularnewline
0.63 & 22686.8793982145 & 1247.37787258684 \tabularnewline
0.64 & 22925.3186500655 & 1283.41882596510 \tabularnewline
0.65 & 23170.1426984557 & 1305.54610908187 \tabularnewline
0.66 & 23419.1336891946 & 1312.69171456513 \tabularnewline
0.67 & 23670.1708467743 & 1305.86200147733 \tabularnewline
0.68 & 23921.6003618438 & 1288.16007521043 \tabularnewline
0.69 & 24172.6101323521 & 1264.89876502749 \tabularnewline
0.7 & 24423.5578702957 & 1243.06027610396 \tabularnewline
0.71 & 24676.2069315308 & 1230.78972393865 \tabularnewline
0.72 & 24933.8376976619 & 1236.48704290022 \tabularnewline
0.73 & 25201.2195439021 & 1267.64305234715 \tabularnewline
0.74 & 25484.4442206713 & 1329.98503961762 \tabularnewline
0.75 & 25790.6307742169 & 1426.63623862094 \tabularnewline
0.76 & 26127.5116268062 & 1557.84774087606 \tabularnewline
0.77 & 26502.8995665693 & 1721.1675321419 \tabularnewline
0.78 & 26924.0220411797 & 1911.21835871421 \tabularnewline
0.79 & 27396.7040677614 & 2119.51528841037 \tabularnewline
0.8 & 27924.3997061572 & 2333.87813084084 \tabularnewline
0.81 & 28507.1275997847 & 2537.99954346676 \tabularnewline
0.82 & 29140.4601923631 & 2711.86734320866 \tabularnewline
0.83 & 29814.8290346292 & 2833.25145800629 \tabularnewline
0.84 & 30515.4942739878 & 2880.94399349372 \tabularnewline
0.85 & 31223.5216323767 & 2839.26305446153 \tabularnewline
0.86 & 31917.9609082805 & 2702.98870867617 \tabularnewline
0.87 & 32579.1237088773 & 2481.33487719228 \tabularnewline
0.88 & 33192.5033077095 & 2199.26894043608 \tabularnewline
0.89 & 33752.6503870983 & 1895.32857343576 \tabularnewline
0.9 & 34266.4288138069 & 1616.51548815342 \tabularnewline
0.91 & 34755.6313612434 & 1412.41013745291 \tabularnewline
0.92 & 35259.8088503296 & 1330.57477326893 \tabularnewline
0.93 & 35841.05223223 & 1413.85521087824 \tabularnewline
0.94 & 36593.0849012142 & 1699.71318442762 \tabularnewline
0.95 & 37656.3267504497 & 2220.63373229313 \tabularnewline
0.96 & 39232.2326578152 & 3008.6433894018 \tabularnewline
0.97 & 41556.2217613170 & 4116.95937924287 \tabularnewline
0.98 & 44721.3328021487 & 5619.52154270099 \tabularnewline
0.99 & 48260.2085124109 & 7398.34201931474 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=77392&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]5894.80987430073[/C][C]5035.77127393426[/C][/ROW]
[ROW][C]0.02[/C][C]8049.63657290133[/C][C]3170.31281320749[/C][/ROW]
[ROW][C]0.03[/C][C]9777.90157386333[/C][C]1834.48761372436[/C][/ROW]
[ROW][C]0.04[/C][C]10905.8563426608[/C][C]1206.19578616316[/C][/ROW]
[ROW][C]0.05[/C][C]11619.8878551327[/C][C]1021.84036643553[/C][/ROW]
[ROW][C]0.06[/C][C]12120.5943587345[/C][C]971.40756565019[/C][/ROW]
[ROW][C]0.07[/C][C]12519.8984958629[/C][C]925.392379855772[/C][/ROW]
[ROW][C]0.08[/C][C]12862.7695682322[/C][C]866.513365133565[/C][/ROW]
[ROW][C]0.09[/C][C]13165.4192194813[/C][C]810.223749103714[/C][/ROW]
[ROW][C]0.1[/C][C]13436.7259736050[/C][C]773.021121445526[/C][/ROW]
[ROW][C]0.11[/C][C]13685.1397855237[/C][C]762.044967825402[/C][/ROW]
[ROW][C]0.12[/C][C]13919.0490551921[/C][C]774.72611909626[/C][/ROW]
[ROW][C]0.13[/C][C]14145.5637910576[/C][C]803.088014131931[/C][/ROW]
[ROW][C]0.14[/C][C]14369.6384923231[/C][C]838.118698484252[/C][/ROW]
[ROW][C]0.15[/C][C]14593.9020883825[/C][C]872.319832569224[/C][/ROW]
[ROW][C]0.16[/C][C]14819.0087036208[/C][C]900.451647145102[/C][/ROW]
[ROW][C]0.17[/C][C]15044.2351435673[/C][C]919.55152802315[/C][/ROW]
[ROW][C]0.18[/C][C]15268.1219136004[/C][C]928.65018918608[/C][/ROW]
[ROW][C]0.19[/C][C]15489.0441704676[/C][C]928.631703560045[/C][/ROW]
[ROW][C]0.2[/C][C]15705.6589794429[/C][C]921.959533417995[/C][/ROW]
[ROW][C]0.21[/C][C]15917.2031869782[/C][C]912.299390651769[/C][/ROW]
[ROW][C]0.22[/C][C]16123.6277102404[/C][C]903.858599540068[/C][/ROW]
[ROW][C]0.23[/C][C]16325.5653621658[/C][C]900.400234014453[/C][/ROW]
[ROW][C]0.24[/C][C]16524.1484242006[/C][C]904.276200100305[/C][/ROW]
[ROW][C]0.25[/C][C]16720.7170066649[/C][C]915.718299632834[/C][/ROW]
[ROW][C]0.26[/C][C]16916.481368353[/C][C]932.637441304986[/C][/ROW]
[ROW][C]0.27[/C][C]17112.2116907081[/C][C]951.255953312257[/C][/ROW]
[ROW][C]0.28[/C][C]17308.0222552775[/C][C]966.828554481224[/C][/ROW]
[ROW][C]0.29[/C][C]17503.2945272299[/C][C]974.97732827849[/C][/ROW]
[ROW][C]0.3[/C][C]17696.7514429846[/C][C]972.301261102694[/C][/ROW]
[ROW][C]0.31[/C][C]17886.6619076994[/C][C]957.050326400198[/C][/ROW]
[ROW][C]0.32[/C][C]18071.1283309496[/C][C]929.395266798299[/C][/ROW]
[ROW][C]0.33[/C][C]18248.3964356938[/C][C]891.3070092318[/C][/ROW]
[ROW][C]0.34[/C][C]18417.1272804067[/C][C]846.117756232487[/C][/ROW]
[ROW][C]0.35[/C][C]18576.5845867418[/C][C]798.001877326937[/C][/ROW]
[ROW][C]0.36[/C][C]18726.7116952458[/C][C]751.214080139864[/C][/ROW]
[ROW][C]0.37[/C][C]18868.0963123448[/C][C]709.644822365568[/C][/ROW]
[ROW][C]0.38[/C][C]19001.8424705485[/C][C]676.008152935001[/C][/ROW]
[ROW][C]0.39[/C][C]19129.3839109194[/C][C]651.701471841984[/C][/ROW]
[ROW][C]0.4[/C][C]19252.2793798221[/C][C]636.621785724077[/C][/ROW]
[ROW][C]0.41[/C][C]19372.0280245935[/C][C]629.43166067555[/C][/ROW]
[ROW][C]0.42[/C][C]19489.9337553843[/C][C]628.187146874925[/C][/ROW]
[ROW][C]0.43[/C][C]19607.0338400395[/C][C]630.81440870706[/C][/ROW]
[ROW][C]0.44[/C][C]19724.0923514551[/C][C]635.558816551105[/C][/ROW]
[ROW][C]0.45[/C][C]19841.6464839115[/C][C]641.359136896161[/C][/ROW]
[ROW][C]0.46[/C][C]19960.0855621723[/C][C]647.84933375644[/C][/ROW]
[ROW][C]0.47[/C][C]20079.7399970543[/C][C]655.288046666337[/C][/ROW]
[ROW][C]0.48[/C][C]20200.9603544159[/C][C]664.299637310687[/C][/ROW]
[ROW][C]0.49[/C][C]20324.1736932364[/C][C]675.783362297834[/C][/ROW]
[ROW][C]0.5[/C][C]20449.9130859353[/C][C]690.533311448489[/C][/ROW]
[ROW][C]0.51[/C][C]20578.8241493734[/C][C]709.07653802022[/C][/ROW]
[ROW][C]0.52[/C][C]20711.6572635420[/C][C]731.7610289782[/C][/ROW]
[ROW][C]0.53[/C][C]20849.2547127431[/C][C]758.830873729172[/C][/ROW]
[ROW][C]0.54[/C][C]20992.5383922530[/C][C]790.545172344235[/C][/ROW]
[ROW][C]0.55[/C][C]21142.4974822258[/C][C]827.151647574249[/C][/ROW]
[ROW][C]0.56[/C][C]21300.16905404[/C][C]869.052336387924[/C][/ROW]
[ROW][C]0.57[/C][C]21466.6006318311[/C][C]916.43066788601[/C][/ROW]
[ROW][C]0.58[/C][C]21642.7843627537[/C][C]969.095220275007[/C][/ROW]
[ROW][C]0.59[/C][C]21829.5583937725[/C][C]1026.11854929525[/C][/ROW]
[ROW][C]0.6[/C][C]22027.4813338914[/C][C]1085.61481885910[/C][/ROW]
[ROW][C]0.61[/C][C]22236.6977285925[/C][C]1144.74977551660[/C][/ROW]
[ROW][C]0.62[/C][C]22456.8227582782[/C][C]1199.97573717845[/C][/ROW]
[ROW][C]0.63[/C][C]22686.8793982145[/C][C]1247.37787258684[/C][/ROW]
[ROW][C]0.64[/C][C]22925.3186500655[/C][C]1283.41882596510[/C][/ROW]
[ROW][C]0.65[/C][C]23170.1426984557[/C][C]1305.54610908187[/C][/ROW]
[ROW][C]0.66[/C][C]23419.1336891946[/C][C]1312.69171456513[/C][/ROW]
[ROW][C]0.67[/C][C]23670.1708467743[/C][C]1305.86200147733[/C][/ROW]
[ROW][C]0.68[/C][C]23921.6003618438[/C][C]1288.16007521043[/C][/ROW]
[ROW][C]0.69[/C][C]24172.6101323521[/C][C]1264.89876502749[/C][/ROW]
[ROW][C]0.7[/C][C]24423.5578702957[/C][C]1243.06027610396[/C][/ROW]
[ROW][C]0.71[/C][C]24676.2069315308[/C][C]1230.78972393865[/C][/ROW]
[ROW][C]0.72[/C][C]24933.8376976619[/C][C]1236.48704290022[/C][/ROW]
[ROW][C]0.73[/C][C]25201.2195439021[/C][C]1267.64305234715[/C][/ROW]
[ROW][C]0.74[/C][C]25484.4442206713[/C][C]1329.98503961762[/C][/ROW]
[ROW][C]0.75[/C][C]25790.6307742169[/C][C]1426.63623862094[/C][/ROW]
[ROW][C]0.76[/C][C]26127.5116268062[/C][C]1557.84774087606[/C][/ROW]
[ROW][C]0.77[/C][C]26502.8995665693[/C][C]1721.1675321419[/C][/ROW]
[ROW][C]0.78[/C][C]26924.0220411797[/C][C]1911.21835871421[/C][/ROW]
[ROW][C]0.79[/C][C]27396.7040677614[/C][C]2119.51528841037[/C][/ROW]
[ROW][C]0.8[/C][C]27924.3997061572[/C][C]2333.87813084084[/C][/ROW]
[ROW][C]0.81[/C][C]28507.1275997847[/C][C]2537.99954346676[/C][/ROW]
[ROW][C]0.82[/C][C]29140.4601923631[/C][C]2711.86734320866[/C][/ROW]
[ROW][C]0.83[/C][C]29814.8290346292[/C][C]2833.25145800629[/C][/ROW]
[ROW][C]0.84[/C][C]30515.4942739878[/C][C]2880.94399349372[/C][/ROW]
[ROW][C]0.85[/C][C]31223.5216323767[/C][C]2839.26305446153[/C][/ROW]
[ROW][C]0.86[/C][C]31917.9609082805[/C][C]2702.98870867617[/C][/ROW]
[ROW][C]0.87[/C][C]32579.1237088773[/C][C]2481.33487719228[/C][/ROW]
[ROW][C]0.88[/C][C]33192.5033077095[/C][C]2199.26894043608[/C][/ROW]
[ROW][C]0.89[/C][C]33752.6503870983[/C][C]1895.32857343576[/C][/ROW]
[ROW][C]0.9[/C][C]34266.4288138069[/C][C]1616.51548815342[/C][/ROW]
[ROW][C]0.91[/C][C]34755.6313612434[/C][C]1412.41013745291[/C][/ROW]
[ROW][C]0.92[/C][C]35259.8088503296[/C][C]1330.57477326893[/C][/ROW]
[ROW][C]0.93[/C][C]35841.05223223[/C][C]1413.85521087824[/C][/ROW]
[ROW][C]0.94[/C][C]36593.0849012142[/C][C]1699.71318442762[/C][/ROW]
[ROW][C]0.95[/C][C]37656.3267504497[/C][C]2220.63373229313[/C][/ROW]
[ROW][C]0.96[/C][C]39232.2326578152[/C][C]3008.6433894018[/C][/ROW]
[ROW][C]0.97[/C][C]41556.2217613170[/C][C]4116.95937924287[/C][/ROW]
[ROW][C]0.98[/C][C]44721.3328021487[/C][C]5619.52154270099[/C][/ROW]
[ROW][C]0.99[/C][C]48260.2085124109[/C][C]7398.34201931474[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=77392&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=77392&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
0.015894.809874300735035.77127393426
0.028049.636572901333170.31281320749
0.039777.901573863331834.48761372436
0.0410905.85634266081206.19578616316
0.0511619.88785513271021.84036643553
0.0612120.5943587345971.40756565019
0.0712519.8984958629925.392379855772
0.0812862.7695682322866.513365133565
0.0913165.4192194813810.223749103714
0.113436.7259736050773.021121445526
0.1113685.1397855237762.044967825402
0.1213919.0490551921774.72611909626
0.1314145.5637910576803.088014131931
0.1414369.6384923231838.118698484252
0.1514593.9020883825872.319832569224
0.1614819.0087036208900.451647145102
0.1715044.2351435673919.55152802315
0.1815268.1219136004928.65018918608
0.1915489.0441704676928.631703560045
0.215705.6589794429921.959533417995
0.2115917.2031869782912.299390651769
0.2216123.6277102404903.858599540068
0.2316325.5653621658900.400234014453
0.2416524.1484242006904.276200100305
0.2516720.7170066649915.718299632834
0.2616916.481368353932.637441304986
0.2717112.2116907081951.255953312257
0.2817308.0222552775966.828554481224
0.2917503.2945272299974.97732827849
0.317696.7514429846972.301261102694
0.3117886.6619076994957.050326400198
0.3218071.1283309496929.395266798299
0.3318248.3964356938891.3070092318
0.3418417.1272804067846.117756232487
0.3518576.5845867418798.001877326937
0.3618726.7116952458751.214080139864
0.3718868.0963123448709.644822365568
0.3819001.8424705485676.008152935001
0.3919129.3839109194651.701471841984
0.419252.2793798221636.621785724077
0.4119372.0280245935629.43166067555
0.4219489.9337553843628.187146874925
0.4319607.0338400395630.81440870706
0.4419724.0923514551635.558816551105
0.4519841.6464839115641.359136896161
0.4619960.0855621723647.84933375644
0.4720079.7399970543655.288046666337
0.4820200.9603544159664.299637310687
0.4920324.1736932364675.783362297834
0.520449.9130859353690.533311448489
0.5120578.8241493734709.07653802022
0.5220711.6572635420731.7610289782
0.5320849.2547127431758.830873729172
0.5420992.5383922530790.545172344235
0.5521142.4974822258827.151647574249
0.5621300.16905404869.052336387924
0.5721466.6006318311916.43066788601
0.5821642.7843627537969.095220275007
0.5921829.55839377251026.11854929525
0.622027.48133389141085.61481885910
0.6122236.69772859251144.74977551660
0.6222456.82275827821199.97573717845
0.6322686.87939821451247.37787258684
0.6422925.31865006551283.41882596510
0.6523170.14269845571305.54610908187
0.6623419.13368919461312.69171456513
0.6723670.17084677431305.86200147733
0.6823921.60036184381288.16007521043
0.6924172.61013235211264.89876502749
0.724423.55787029571243.06027610396
0.7124676.20693153081230.78972393865
0.7224933.83769766191236.48704290022
0.7325201.21954390211267.64305234715
0.7425484.44422067131329.98503961762
0.7525790.63077421691426.63623862094
0.7626127.51162680621557.84774087606
0.7726502.89956656931721.1675321419
0.7826924.02204117971911.21835871421
0.7927396.70406776142119.51528841037
0.827924.39970615722333.87813084084
0.8128507.12759978472537.99954346676
0.8229140.46019236312711.86734320866
0.8329814.82903462922833.25145800629
0.8430515.49427398782880.94399349372
0.8531223.52163237672839.26305446153
0.8631917.96090828052702.98870867617
0.8732579.12370887732481.33487719228
0.8833192.50330770952199.26894043608
0.8933752.65038709831895.32857343576
0.934266.42881380691616.51548815342
0.9134755.63136124341412.41013745291
0.9235259.80885032961330.57477326893
0.9335841.052232231413.85521087824
0.9436593.08490121421699.71318442762
0.9537656.32675044972220.63373229313
0.9639232.23265781523008.6433894018
0.9741556.22176131704116.95937924287
0.9844721.33280214875619.52154270099
0.9948260.20851241097398.34201931474


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')