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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 computationSun, 05 Oct 2014 16:38:05 +0100
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/Oct/05/t1412523506urrw172tckzox6z.htm/, Retrieved Sun, 12 May 2024 09:30:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=238829, Retrieved Sun, 12 May 2024 09:30:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact90

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 15:38:05] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
790
766
1040
2596
949
758
1023
2730
921
775
907
2603
835
871
836
2542
10471
789
811
996
2596
778
603
990
2371
735
800
706
2241
766
870
647
2283
9491
726
784
884
2394
696
893
674
2263
703
799
793
2295
799
1022
758
2579
9531
1021
944
915
2880
864
1022
891
2777
1087
822
890
2799
1092
967
833
2892
11348
1104
1063
1103
3270
1039
1185
1047
3271
1155
878
879
2912
1133
920
943
2996
12449

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238829&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238829&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238829&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01620.11155423889638.0169961406672
0.02644.10143129345832.312646190088
0.03665.73118906115128.0124184270632
0.04682.74280451054224.7799180883948
0.05696.1613837056423.1240982019394
0.06707.41883503014723.1073709171576
0.07717.51135677533123.8220411601329
0.08726.92171089720524.2180482852632
0.09735.75025722806223.751014008534
0.1743.90696078693122.4322937555262
0.11751.27962220943920.6083129127824
0.12757.82820370288218.7015259541321
0.13763.60400871117417.0351606985127
0.14768.72330476853115.7635555186065
0.15773.32889190169514.8997388556839
0.16777.56111222658514.3950662614418
0.17781.54499524188214.2090239418906
0.18785.39010768955814.3400797963549
0.19789.19588709779214.8180591566401
0.2793.05612592403715.6697158952875
0.21797.05927020055116.8935312372469
0.22801.28424774584418.4415165744594
0.23805.79356588860120.2147222254282
0.24810.6261793076222.0848672050454
0.25815.79238506030723.9073391980701
0.26821.27219331170425.5420077644725
0.27827.01765905934826.8693992929545
0.28832.95882366461427.804369931045
0.29839.01233650850628.3063796357545
0.3845.09151855357828.3808255515037
0.31851.11654072573528.0797762943436
0.32857.02346375926427.500225704619
0.33862.77108893998326.7657705186661
0.34868.34488786300726.0232036000641
0.35873.75769563179425.4139746876543
0.36879.04731773822425.0651284898866
0.37884.27163396700625.0704233008752
0.38889.50208823962425.4807701145758
0.39894.81656004549126.3048789218265
0.4900.29250479535727.5140194852353
0.41906.00097692427229.0522726378345
0.42912.00181169931230.8464611582616
0.43918.33995645425932.8139494002466
0.44925.04280171072434.8592500972296
0.45932.11840308288936.883151046236
0.46939.55467323400138.7804407000661
0.47947.31987069031940.4463232380938
0.48955.36490783706741.7929791758205
0.49963.6280546521242.7566813110332
0.5972.04250021121443.3136157514679
0.51980.54700416663943.5089354185789
0.52989.09964550264743.4552603567422
0.53997.69459235930343.3645914945128
0.541006.3819500110443.5570153163445
0.551015.2910285407244.4865168395205
0.561024.6575526529646.7740543510202
0.571034.8549915380151.227465883389
0.581046.4288475220158.8475597523092
0.591060.1301109302770.789953281216
0.61076.9403144922188.2677007891045
0.611098.07653382528112.411357429124
0.621124.96184414867144.076740216059
0.631159.14718423031183.578449624834
0.641202.17613442054230.416483965497
0.651255.3955016684283.025281313045
0.661319.73051368094338.674879763955
0.671395.46013490214393.578969592538
0.681482.03995288047443.256449310876
0.691578.02147893746483.13699488913
0.71681.10399190286509.291753098216
0.711788.32903630643519.130405507619
0.721896.39437283549511.914757071921
0.732002.03341977049488.904818926886
0.742102.38830937459453.135538478874
0.752195.30614027317408.842738693722
0.762279.50856924624360.720125984627
0.772354.617338675313.164901156962
0.782421.05165359407269.707694953401
0.792479.83778436072232.708360954273
0.82532.38308240865203.314809125215
0.812580.26977531427181.616168290609
0.822625.12879977458166.968728749217
0.832668.67349579205158.557710756185
0.842713.01795500422156.370566819339
0.852761.47547522443163.028969674613
0.862820.09967170163186.984774400605
0.872900.19939528739246.577485145654
0.883021.73318190289371.099795677104
0.893216.61782346745596.279548616714
0.93529.52086374804953.741454388099
0.914012.329586087331449.25317947853
0.924709.027470586332031.7888045652
0.935632.432700873012573.91557889791
0.946743.135169905362896.1121759365
0.957948.290606459422852.13243151633
0.969133.134135938972438.51509462328
0.9710214.24117807181836.08346972059
0.9811167.23209057351317.92864346015
0.9911963.79202020111083.00375636885

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 620.111554238896 & 38.0169961406672 \tabularnewline
0.02 & 644.101431293458 & 32.312646190088 \tabularnewline
0.03 & 665.731189061151 & 28.0124184270632 \tabularnewline
0.04 & 682.742804510542 & 24.7799180883948 \tabularnewline
0.05 & 696.16138370564 & 23.1240982019394 \tabularnewline
0.06 & 707.418835030147 & 23.1073709171576 \tabularnewline
0.07 & 717.511356775331 & 23.8220411601329 \tabularnewline
0.08 & 726.921710897205 & 24.2180482852632 \tabularnewline
0.09 & 735.750257228062 & 23.751014008534 \tabularnewline
0.1 & 743.906960786931 & 22.4322937555262 \tabularnewline
0.11 & 751.279622209439 & 20.6083129127824 \tabularnewline
0.12 & 757.828203702882 & 18.7015259541321 \tabularnewline
0.13 & 763.604008711174 & 17.0351606985127 \tabularnewline
0.14 & 768.723304768531 & 15.7635555186065 \tabularnewline
0.15 & 773.328891901695 & 14.8997388556839 \tabularnewline
0.16 & 777.561112226585 & 14.3950662614418 \tabularnewline
0.17 & 781.544995241882 & 14.2090239418906 \tabularnewline
0.18 & 785.390107689558 & 14.3400797963549 \tabularnewline
0.19 & 789.195887097792 & 14.8180591566401 \tabularnewline
0.2 & 793.056125924037 & 15.6697158952875 \tabularnewline
0.21 & 797.059270200551 & 16.8935312372469 \tabularnewline
0.22 & 801.284247745844 & 18.4415165744594 \tabularnewline
0.23 & 805.793565888601 & 20.2147222254282 \tabularnewline
0.24 & 810.62617930762 & 22.0848672050454 \tabularnewline
0.25 & 815.792385060307 & 23.9073391980701 \tabularnewline
0.26 & 821.272193311704 & 25.5420077644725 \tabularnewline
0.27 & 827.017659059348 & 26.8693992929545 \tabularnewline
0.28 & 832.958823664614 & 27.804369931045 \tabularnewline
0.29 & 839.012336508506 & 28.3063796357545 \tabularnewline
0.3 & 845.091518553578 & 28.3808255515037 \tabularnewline
0.31 & 851.116540725735 & 28.0797762943436 \tabularnewline
0.32 & 857.023463759264 & 27.500225704619 \tabularnewline
0.33 & 862.771088939983 & 26.7657705186661 \tabularnewline
0.34 & 868.344887863007 & 26.0232036000641 \tabularnewline
0.35 & 873.757695631794 & 25.4139746876543 \tabularnewline
0.36 & 879.047317738224 & 25.0651284898866 \tabularnewline
0.37 & 884.271633967006 & 25.0704233008752 \tabularnewline
0.38 & 889.502088239624 & 25.4807701145758 \tabularnewline
0.39 & 894.816560045491 & 26.3048789218265 \tabularnewline
0.4 & 900.292504795357 & 27.5140194852353 \tabularnewline
0.41 & 906.000976924272 & 29.0522726378345 \tabularnewline
0.42 & 912.001811699312 & 30.8464611582616 \tabularnewline
0.43 & 918.339956454259 & 32.8139494002466 \tabularnewline
0.44 & 925.042801710724 & 34.8592500972296 \tabularnewline
0.45 & 932.118403082889 & 36.883151046236 \tabularnewline
0.46 & 939.554673234001 & 38.7804407000661 \tabularnewline
0.47 & 947.319870690319 & 40.4463232380938 \tabularnewline
0.48 & 955.364907837067 & 41.7929791758205 \tabularnewline
0.49 & 963.62805465212 & 42.7566813110332 \tabularnewline
0.5 & 972.042500211214 & 43.3136157514679 \tabularnewline
0.51 & 980.547004166639 & 43.5089354185789 \tabularnewline
0.52 & 989.099645502647 & 43.4552603567422 \tabularnewline
0.53 & 997.694592359303 & 43.3645914945128 \tabularnewline
0.54 & 1006.38195001104 & 43.5570153163445 \tabularnewline
0.55 & 1015.29102854072 & 44.4865168395205 \tabularnewline
0.56 & 1024.65755265296 & 46.7740543510202 \tabularnewline
0.57 & 1034.85499153801 & 51.227465883389 \tabularnewline
0.58 & 1046.42884752201 & 58.8475597523092 \tabularnewline
0.59 & 1060.13011093027 & 70.789953281216 \tabularnewline
0.6 & 1076.94031449221 & 88.2677007891045 \tabularnewline
0.61 & 1098.07653382528 & 112.411357429124 \tabularnewline
0.62 & 1124.96184414867 & 144.076740216059 \tabularnewline
0.63 & 1159.14718423031 & 183.578449624834 \tabularnewline
0.64 & 1202.17613442054 & 230.416483965497 \tabularnewline
0.65 & 1255.3955016684 & 283.025281313045 \tabularnewline
0.66 & 1319.73051368094 & 338.674879763955 \tabularnewline
0.67 & 1395.46013490214 & 393.578969592538 \tabularnewline
0.68 & 1482.03995288047 & 443.256449310876 \tabularnewline
0.69 & 1578.02147893746 & 483.13699488913 \tabularnewline
0.7 & 1681.10399190286 & 509.291753098216 \tabularnewline
0.71 & 1788.32903630643 & 519.130405507619 \tabularnewline
0.72 & 1896.39437283549 & 511.914757071921 \tabularnewline
0.73 & 2002.03341977049 & 488.904818926886 \tabularnewline
0.74 & 2102.38830937459 & 453.135538478874 \tabularnewline
0.75 & 2195.30614027317 & 408.842738693722 \tabularnewline
0.76 & 2279.50856924624 & 360.720125984627 \tabularnewline
0.77 & 2354.617338675 & 313.164901156962 \tabularnewline
0.78 & 2421.05165359407 & 269.707694953401 \tabularnewline
0.79 & 2479.83778436072 & 232.708360954273 \tabularnewline
0.8 & 2532.38308240865 & 203.314809125215 \tabularnewline
0.81 & 2580.26977531427 & 181.616168290609 \tabularnewline
0.82 & 2625.12879977458 & 166.968728749217 \tabularnewline
0.83 & 2668.67349579205 & 158.557710756185 \tabularnewline
0.84 & 2713.01795500422 & 156.370566819339 \tabularnewline
0.85 & 2761.47547522443 & 163.028969674613 \tabularnewline
0.86 & 2820.09967170163 & 186.984774400605 \tabularnewline
0.87 & 2900.19939528739 & 246.577485145654 \tabularnewline
0.88 & 3021.73318190289 & 371.099795677104 \tabularnewline
0.89 & 3216.61782346745 & 596.279548616714 \tabularnewline
0.9 & 3529.52086374804 & 953.741454388099 \tabularnewline
0.91 & 4012.32958608733 & 1449.25317947853 \tabularnewline
0.92 & 4709.02747058633 & 2031.7888045652 \tabularnewline
0.93 & 5632.43270087301 & 2573.91557889791 \tabularnewline
0.94 & 6743.13516990536 & 2896.1121759365 \tabularnewline
0.95 & 7948.29060645942 & 2852.13243151633 \tabularnewline
0.96 & 9133.13413593897 & 2438.51509462328 \tabularnewline
0.97 & 10214.2411780718 & 1836.08346972059 \tabularnewline
0.98 & 11167.2320905735 & 1317.92864346015 \tabularnewline
0.99 & 11963.7920202011 & 1083.00375636885 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=238829&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]620.111554238896[/C][C]38.0169961406672[/C][/ROW]
[ROW][C]0.02[/C][C]644.101431293458[/C][C]32.312646190088[/C][/ROW]
[ROW][C]0.03[/C][C]665.731189061151[/C][C]28.0124184270632[/C][/ROW]
[ROW][C]0.04[/C][C]682.742804510542[/C][C]24.7799180883948[/C][/ROW]
[ROW][C]0.05[/C][C]696.16138370564[/C][C]23.1240982019394[/C][/ROW]
[ROW][C]0.06[/C][C]707.418835030147[/C][C]23.1073709171576[/C][/ROW]
[ROW][C]0.07[/C][C]717.511356775331[/C][C]23.8220411601329[/C][/ROW]
[ROW][C]0.08[/C][C]726.921710897205[/C][C]24.2180482852632[/C][/ROW]
[ROW][C]0.09[/C][C]735.750257228062[/C][C]23.751014008534[/C][/ROW]
[ROW][C]0.1[/C][C]743.906960786931[/C][C]22.4322937555262[/C][/ROW]
[ROW][C]0.11[/C][C]751.279622209439[/C][C]20.6083129127824[/C][/ROW]
[ROW][C]0.12[/C][C]757.828203702882[/C][C]18.7015259541321[/C][/ROW]
[ROW][C]0.13[/C][C]763.604008711174[/C][C]17.0351606985127[/C][/ROW]
[ROW][C]0.14[/C][C]768.723304768531[/C][C]15.7635555186065[/C][/ROW]
[ROW][C]0.15[/C][C]773.328891901695[/C][C]14.8997388556839[/C][/ROW]
[ROW][C]0.16[/C][C]777.561112226585[/C][C]14.3950662614418[/C][/ROW]
[ROW][C]0.17[/C][C]781.544995241882[/C][C]14.2090239418906[/C][/ROW]
[ROW][C]0.18[/C][C]785.390107689558[/C][C]14.3400797963549[/C][/ROW]
[ROW][C]0.19[/C][C]789.195887097792[/C][C]14.8180591566401[/C][/ROW]
[ROW][C]0.2[/C][C]793.056125924037[/C][C]15.6697158952875[/C][/ROW]
[ROW][C]0.21[/C][C]797.059270200551[/C][C]16.8935312372469[/C][/ROW]
[ROW][C]0.22[/C][C]801.284247745844[/C][C]18.4415165744594[/C][/ROW]
[ROW][C]0.23[/C][C]805.793565888601[/C][C]20.2147222254282[/C][/ROW]
[ROW][C]0.24[/C][C]810.62617930762[/C][C]22.0848672050454[/C][/ROW]
[ROW][C]0.25[/C][C]815.792385060307[/C][C]23.9073391980701[/C][/ROW]
[ROW][C]0.26[/C][C]821.272193311704[/C][C]25.5420077644725[/C][/ROW]
[ROW][C]0.27[/C][C]827.017659059348[/C][C]26.8693992929545[/C][/ROW]
[ROW][C]0.28[/C][C]832.958823664614[/C][C]27.804369931045[/C][/ROW]
[ROW][C]0.29[/C][C]839.012336508506[/C][C]28.3063796357545[/C][/ROW]
[ROW][C]0.3[/C][C]845.091518553578[/C][C]28.3808255515037[/C][/ROW]
[ROW][C]0.31[/C][C]851.116540725735[/C][C]28.0797762943436[/C][/ROW]
[ROW][C]0.32[/C][C]857.023463759264[/C][C]27.500225704619[/C][/ROW]
[ROW][C]0.33[/C][C]862.771088939983[/C][C]26.7657705186661[/C][/ROW]
[ROW][C]0.34[/C][C]868.344887863007[/C][C]26.0232036000641[/C][/ROW]
[ROW][C]0.35[/C][C]873.757695631794[/C][C]25.4139746876543[/C][/ROW]
[ROW][C]0.36[/C][C]879.047317738224[/C][C]25.0651284898866[/C][/ROW]
[ROW][C]0.37[/C][C]884.271633967006[/C][C]25.0704233008752[/C][/ROW]
[ROW][C]0.38[/C][C]889.502088239624[/C][C]25.4807701145758[/C][/ROW]
[ROW][C]0.39[/C][C]894.816560045491[/C][C]26.3048789218265[/C][/ROW]
[ROW][C]0.4[/C][C]900.292504795357[/C][C]27.5140194852353[/C][/ROW]
[ROW][C]0.41[/C][C]906.000976924272[/C][C]29.0522726378345[/C][/ROW]
[ROW][C]0.42[/C][C]912.001811699312[/C][C]30.8464611582616[/C][/ROW]
[ROW][C]0.43[/C][C]918.339956454259[/C][C]32.8139494002466[/C][/ROW]
[ROW][C]0.44[/C][C]925.042801710724[/C][C]34.8592500972296[/C][/ROW]
[ROW][C]0.45[/C][C]932.118403082889[/C][C]36.883151046236[/C][/ROW]
[ROW][C]0.46[/C][C]939.554673234001[/C][C]38.7804407000661[/C][/ROW]
[ROW][C]0.47[/C][C]947.319870690319[/C][C]40.4463232380938[/C][/ROW]
[ROW][C]0.48[/C][C]955.364907837067[/C][C]41.7929791758205[/C][/ROW]
[ROW][C]0.49[/C][C]963.62805465212[/C][C]42.7566813110332[/C][/ROW]
[ROW][C]0.5[/C][C]972.042500211214[/C][C]43.3136157514679[/C][/ROW]
[ROW][C]0.51[/C][C]980.547004166639[/C][C]43.5089354185789[/C][/ROW]
[ROW][C]0.52[/C][C]989.099645502647[/C][C]43.4552603567422[/C][/ROW]
[ROW][C]0.53[/C][C]997.694592359303[/C][C]43.3645914945128[/C][/ROW]
[ROW][C]0.54[/C][C]1006.38195001104[/C][C]43.5570153163445[/C][/ROW]
[ROW][C]0.55[/C][C]1015.29102854072[/C][C]44.4865168395205[/C][/ROW]
[ROW][C]0.56[/C][C]1024.65755265296[/C][C]46.7740543510202[/C][/ROW]
[ROW][C]0.57[/C][C]1034.85499153801[/C][C]51.227465883389[/C][/ROW]
[ROW][C]0.58[/C][C]1046.42884752201[/C][C]58.8475597523092[/C][/ROW]
[ROW][C]0.59[/C][C]1060.13011093027[/C][C]70.789953281216[/C][/ROW]
[ROW][C]0.6[/C][C]1076.94031449221[/C][C]88.2677007891045[/C][/ROW]
[ROW][C]0.61[/C][C]1098.07653382528[/C][C]112.411357429124[/C][/ROW]
[ROW][C]0.62[/C][C]1124.96184414867[/C][C]144.076740216059[/C][/ROW]
[ROW][C]0.63[/C][C]1159.14718423031[/C][C]183.578449624834[/C][/ROW]
[ROW][C]0.64[/C][C]1202.17613442054[/C][C]230.416483965497[/C][/ROW]
[ROW][C]0.65[/C][C]1255.3955016684[/C][C]283.025281313045[/C][/ROW]
[ROW][C]0.66[/C][C]1319.73051368094[/C][C]338.674879763955[/C][/ROW]
[ROW][C]0.67[/C][C]1395.46013490214[/C][C]393.578969592538[/C][/ROW]
[ROW][C]0.68[/C][C]1482.03995288047[/C][C]443.256449310876[/C][/ROW]
[ROW][C]0.69[/C][C]1578.02147893746[/C][C]483.13699488913[/C][/ROW]
[ROW][C]0.7[/C][C]1681.10399190286[/C][C]509.291753098216[/C][/ROW]
[ROW][C]0.71[/C][C]1788.32903630643[/C][C]519.130405507619[/C][/ROW]
[ROW][C]0.72[/C][C]1896.39437283549[/C][C]511.914757071921[/C][/ROW]
[ROW][C]0.73[/C][C]2002.03341977049[/C][C]488.904818926886[/C][/ROW]
[ROW][C]0.74[/C][C]2102.38830937459[/C][C]453.135538478874[/C][/ROW]
[ROW][C]0.75[/C][C]2195.30614027317[/C][C]408.842738693722[/C][/ROW]
[ROW][C]0.76[/C][C]2279.50856924624[/C][C]360.720125984627[/C][/ROW]
[ROW][C]0.77[/C][C]2354.617338675[/C][C]313.164901156962[/C][/ROW]
[ROW][C]0.78[/C][C]2421.05165359407[/C][C]269.707694953401[/C][/ROW]
[ROW][C]0.79[/C][C]2479.83778436072[/C][C]232.708360954273[/C][/ROW]
[ROW][C]0.8[/C][C]2532.38308240865[/C][C]203.314809125215[/C][/ROW]
[ROW][C]0.81[/C][C]2580.26977531427[/C][C]181.616168290609[/C][/ROW]
[ROW][C]0.82[/C][C]2625.12879977458[/C][C]166.968728749217[/C][/ROW]
[ROW][C]0.83[/C][C]2668.67349579205[/C][C]158.557710756185[/C][/ROW]
[ROW][C]0.84[/C][C]2713.01795500422[/C][C]156.370566819339[/C][/ROW]
[ROW][C]0.85[/C][C]2761.47547522443[/C][C]163.028969674613[/C][/ROW]
[ROW][C]0.86[/C][C]2820.09967170163[/C][C]186.984774400605[/C][/ROW]
[ROW][C]0.87[/C][C]2900.19939528739[/C][C]246.577485145654[/C][/ROW]
[ROW][C]0.88[/C][C]3021.73318190289[/C][C]371.099795677104[/C][/ROW]
[ROW][C]0.89[/C][C]3216.61782346745[/C][C]596.279548616714[/C][/ROW]
[ROW][C]0.9[/C][C]3529.52086374804[/C][C]953.741454388099[/C][/ROW]
[ROW][C]0.91[/C][C]4012.32958608733[/C][C]1449.25317947853[/C][/ROW]
[ROW][C]0.92[/C][C]4709.02747058633[/C][C]2031.7888045652[/C][/ROW]
[ROW][C]0.93[/C][C]5632.43270087301[/C][C]2573.91557889791[/C][/ROW]
[ROW][C]0.94[/C][C]6743.13516990536[/C][C]2896.1121759365[/C][/ROW]
[ROW][C]0.95[/C][C]7948.29060645942[/C][C]2852.13243151633[/C][/ROW]
[ROW][C]0.96[/C][C]9133.13413593897[/C][C]2438.51509462328[/C][/ROW]
[ROW][C]0.97[/C][C]10214.2411780718[/C][C]1836.08346972059[/C][/ROW]
[ROW][C]0.98[/C][C]11167.2320905735[/C][C]1317.92864346015[/C][/ROW]
[ROW][C]0.99[/C][C]11963.7920202011[/C][C]1083.00375636885[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=238829&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=238829&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
0.01620.11155423889638.0169961406672
0.02644.10143129345832.312646190088
0.03665.73118906115128.0124184270632
0.04682.74280451054224.7799180883948
0.05696.1613837056423.1240982019394
0.06707.41883503014723.1073709171576
0.07717.51135677533123.8220411601329
0.08726.92171089720524.2180482852632
0.09735.75025722806223.751014008534
0.1743.90696078693122.4322937555262
0.11751.27962220943920.6083129127824
0.12757.82820370288218.7015259541321
0.13763.60400871117417.0351606985127
0.14768.72330476853115.7635555186065
0.15773.32889190169514.8997388556839
0.16777.56111222658514.3950662614418
0.17781.54499524188214.2090239418906
0.18785.39010768955814.3400797963549
0.19789.19588709779214.8180591566401
0.2793.05612592403715.6697158952875
0.21797.05927020055116.8935312372469
0.22801.28424774584418.4415165744594
0.23805.79356588860120.2147222254282
0.24810.6261793076222.0848672050454
0.25815.79238506030723.9073391980701
0.26821.27219331170425.5420077644725
0.27827.01765905934826.8693992929545
0.28832.95882366461427.804369931045
0.29839.01233650850628.3063796357545
0.3845.09151855357828.3808255515037
0.31851.11654072573528.0797762943436
0.32857.02346375926427.500225704619
0.33862.77108893998326.7657705186661
0.34868.34488786300726.0232036000641
0.35873.75769563179425.4139746876543
0.36879.04731773822425.0651284898866
0.37884.27163396700625.0704233008752
0.38889.50208823962425.4807701145758
0.39894.81656004549126.3048789218265
0.4900.29250479535727.5140194852353
0.41906.00097692427229.0522726378345
0.42912.00181169931230.8464611582616
0.43918.33995645425932.8139494002466
0.44925.04280171072434.8592500972296
0.45932.11840308288936.883151046236
0.46939.55467323400138.7804407000661
0.47947.31987069031940.4463232380938
0.48955.36490783706741.7929791758205
0.49963.6280546521242.7566813110332
0.5972.04250021121443.3136157514679
0.51980.54700416663943.5089354185789
0.52989.09964550264743.4552603567422
0.53997.69459235930343.3645914945128
0.541006.3819500110443.5570153163445
0.551015.2910285407244.4865168395205
0.561024.6575526529646.7740543510202
0.571034.8549915380151.227465883389
0.581046.4288475220158.8475597523092
0.591060.1301109302770.789953281216
0.61076.9403144922188.2677007891045
0.611098.07653382528112.411357429124
0.621124.96184414867144.076740216059
0.631159.14718423031183.578449624834
0.641202.17613442054230.416483965497
0.651255.3955016684283.025281313045
0.661319.73051368094338.674879763955
0.671395.46013490214393.578969592538
0.681482.03995288047443.256449310876
0.691578.02147893746483.13699488913
0.71681.10399190286509.291753098216
0.711788.32903630643519.130405507619
0.721896.39437283549511.914757071921
0.732002.03341977049488.904818926886
0.742102.38830937459453.135538478874
0.752195.30614027317408.842738693722
0.762279.50856924624360.720125984627
0.772354.617338675313.164901156962
0.782421.05165359407269.707694953401
0.792479.83778436072232.708360954273
0.82532.38308240865203.314809125215
0.812580.26977531427181.616168290609
0.822625.12879977458166.968728749217
0.832668.67349579205158.557710756185
0.842713.01795500422156.370566819339
0.852761.47547522443163.028969674613
0.862820.09967170163186.984774400605
0.872900.19939528739246.577485145654
0.883021.73318190289371.099795677104
0.893216.61782346745596.279548616714
0.93529.52086374804953.741454388099
0.914012.329586087331449.25317947853
0.924709.027470586332031.7888045652
0.935632.432700873012573.91557889791
0.946743.135169905362896.1121759365
0.957948.290606459422852.13243151633
0.969133.134135938972438.51509462328
0.9710214.24117807181836.08346972059
0.9811167.23209057351317.92864346015
0.9911963.79202020111083.00375636885


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')