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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 15:35:03 -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/t1329943085kekt5ld6xij40wf.htm/, Retrieved Mon, 06 May 2024 16:04:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163194, Retrieved Mon, 06 May 2024 16:04:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact126

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] [] [2012-02-22 20:30:01] [bcbf127980f01368c37450d58f0e1935]
- R P     [Harrell-Davis Quantiles] [] [2012-02-22 20:35:03] [118c7cedabc991c3d34fa0c13010a5e0] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.2103
1.1938
1.202
1.2271
1.277
1.265
1.2684
1.2811
1.2727
1.2611
1.2881
1.3213
1.2999
1.3074
1.3242
1.3516
1.3511
1.3419
1.3716
1.3622
1.3896
1.4227
1.4684
1.457
1.4718
1.4748
1.5527
1.5751
1.5557
1.5553
1.577
1.4975
1.437
1.3322
1.2732
1.3449
1.3239
1.2785
1.305
1.319
1.365
1.4016
1.4088
1.4268
1.4562
1.4816
1.4914
1.4614
1.4272
1.3686
1.3569
1.3406
1.2565
1.2209
1.277
1.2894
1.3067
1.3898
1.3661
1.322
1.336
1.3649
1.3999
1.4442
1.4349
1.4388
1.4264
1.4343
1.377
1.3706
1.3556
1.3179

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'Gwilym Jenkins' @ jenkins.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 & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163194&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163194&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163194&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'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.196902445811160.00857001058848773
0.021.202181702217930.0104238605567074
0.031.20866123590530.0132820492788415
0.041.215819493253980.0163108935522816
0.051.22340459003620.0188078424982141
0.061.23115646921450.0201985206378613
0.071.238738957613190.0202029510355848
0.081.245807311761090.0189382336204585
0.091.252098826914470.0168340703189344
0.11.257485832193080.0144279506008825
0.111.261977303784910.0121756144148073
0.121.26568379322660.0103598276292746
0.131.268769829483590.00909727195026788
0.141.271412871874080.0083826763636636
0.151.273776992346880.0081606650068212
0.161.276000422448290.00835189623104817
0.171.278192033749290.00886721331376374
0.181.280431919202770.0096066286075686
0.191.28277320921310.0104743490661117
0.21.285244204283640.0113690888728401
0.211.287850997098390.012205250408168
0.221.290580982233080.0129090333858636
0.231.293407373544510.0134310226901551
0.241.296294450520980.0137490885465942
0.251.299202979423790.0138645712960306
0.261.302095187246180.0137963739510016
0.271.304938776723370.0135806063035086
0.281.307709676592780.0132684651419545
0.291.310393439116950.0129051196267887
0.31.312985371103630.0125409646369443
0.311.315489596481640.0122227427335653
0.321.317917307070290.0119798609008739
0.331.320284483920060.011833527005357
0.341.322609380725790.0117882371262529
0.351.324910057618990.0118383582632932
0.361.32720223203180.0119560234114182
0.371.329497664608580.0121186770662681
0.381.331803219822110.0122883840229849
0.391.334120641587590.0124342482217985
0.41.336446982183460.0125391390050886
0.411.338775540212010.0125814802177617
0.421.341097117706930.012555732005293
0.431.343401404580310.0124608583032689
0.441.345678334335890.0123041769083356
0.451.347919312085750.012097384635215
0.461.35011827379920.0118556602130804
0.471.352272576238990.0116027821863355
0.481.354383729875950.011359266570332
0.491.356457972185350.0111542338777749
0.51.3585066455840.0110172466300917
0.511.36054630835260.0109831013792012
0.521.362598484768770.0110768308162184
0.531.364688964984460.0113292005941523
0.541.366846600877340.0117556078727178
0.551.36910160692830.0123582099560023
0.561.37148345273960.0131246018652681
0.571.37401850905270.0140239710514704
0.581.376727665225290.0150168207335212
0.591.379624161329920.0160480274203116
0.61.3827118688630.0170629031668802
0.611.385984215616990.0179977501380693
0.621.389423893528470.0187950966130637
0.631.393003425206880.019404906620038
0.641.396686603324440.0197878441670635
0.651.40043075824720.0199150004567914
0.661.404189748336370.019772768592762
0.671.407917497694160.0193742246364896
0.681.411571825591910.0187459914681977
0.691.415118227546480.0179345872347208
0.71.418533197754680.0170048753283721
0.711.421806651314910.0160348995771128
0.721.424943037446640.0151051831464906
0.731.427960848670410.0142966741741306
0.741.430890427468110.0136721767184568
0.751.433770234355080.0132702069448665
0.761.436642033908240.0130976355901285
0.771.43954572791250.0131258605092923
0.781.442514761349110.0132968706702784
0.791.44557309892680.0135392091354014
0.81.448734692054030.013784494932509
0.811.452006137664860.0139822488479937
0.821.455392908026750.0141163372628578
0.831.458909131992710.0142159524018412
0.841.462590381241160.0143628735665107
0.851.466508056694020.0146972364073135
0.861.470782438170750.0154155435245298
0.871.475589013279490.0167351738165102
0.881.481149791834890.0188338437823409
0.891.487699906908980.0217287384072671
0.91.49542372860840.0251528543273687
0.911.504368109929360.0284847412285527
0.921.514362954065610.0308116287760313
0.931.524999547040520.0312045462935916
0.941.535710280655170.0291744169059348
0.951.545936039684590.0251015150887657
0.961.555274407025620.0202215884018898
0.971.563459737717360.0157234912148095
0.981.570153950811770.0113467781374665
0.991.57480997791790.00613313191381586

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.19690244581116 & 0.00857001058848773 \tabularnewline
0.02 & 1.20218170221793 & 0.0104238605567074 \tabularnewline
0.03 & 1.2086612359053 & 0.0132820492788415 \tabularnewline
0.04 & 1.21581949325398 & 0.0163108935522816 \tabularnewline
0.05 & 1.2234045900362 & 0.0188078424982141 \tabularnewline
0.06 & 1.2311564692145 & 0.0201985206378613 \tabularnewline
0.07 & 1.23873895761319 & 0.0202029510355848 \tabularnewline
0.08 & 1.24580731176109 & 0.0189382336204585 \tabularnewline
0.09 & 1.25209882691447 & 0.0168340703189344 \tabularnewline
0.1 & 1.25748583219308 & 0.0144279506008825 \tabularnewline
0.11 & 1.26197730378491 & 0.0121756144148073 \tabularnewline
0.12 & 1.2656837932266 & 0.0103598276292746 \tabularnewline
0.13 & 1.26876982948359 & 0.00909727195026788 \tabularnewline
0.14 & 1.27141287187408 & 0.0083826763636636 \tabularnewline
0.15 & 1.27377699234688 & 0.0081606650068212 \tabularnewline
0.16 & 1.27600042244829 & 0.00835189623104817 \tabularnewline
0.17 & 1.27819203374929 & 0.00886721331376374 \tabularnewline
0.18 & 1.28043191920277 & 0.0096066286075686 \tabularnewline
0.19 & 1.2827732092131 & 0.0104743490661117 \tabularnewline
0.2 & 1.28524420428364 & 0.0113690888728401 \tabularnewline
0.21 & 1.28785099709839 & 0.012205250408168 \tabularnewline
0.22 & 1.29058098223308 & 0.0129090333858636 \tabularnewline
0.23 & 1.29340737354451 & 0.0134310226901551 \tabularnewline
0.24 & 1.29629445052098 & 0.0137490885465942 \tabularnewline
0.25 & 1.29920297942379 & 0.0138645712960306 \tabularnewline
0.26 & 1.30209518724618 & 0.0137963739510016 \tabularnewline
0.27 & 1.30493877672337 & 0.0135806063035086 \tabularnewline
0.28 & 1.30770967659278 & 0.0132684651419545 \tabularnewline
0.29 & 1.31039343911695 & 0.0129051196267887 \tabularnewline
0.3 & 1.31298537110363 & 0.0125409646369443 \tabularnewline
0.31 & 1.31548959648164 & 0.0122227427335653 \tabularnewline
0.32 & 1.31791730707029 & 0.0119798609008739 \tabularnewline
0.33 & 1.32028448392006 & 0.011833527005357 \tabularnewline
0.34 & 1.32260938072579 & 0.0117882371262529 \tabularnewline
0.35 & 1.32491005761899 & 0.0118383582632932 \tabularnewline
0.36 & 1.3272022320318 & 0.0119560234114182 \tabularnewline
0.37 & 1.32949766460858 & 0.0121186770662681 \tabularnewline
0.38 & 1.33180321982211 & 0.0122883840229849 \tabularnewline
0.39 & 1.33412064158759 & 0.0124342482217985 \tabularnewline
0.4 & 1.33644698218346 & 0.0125391390050886 \tabularnewline
0.41 & 1.33877554021201 & 0.0125814802177617 \tabularnewline
0.42 & 1.34109711770693 & 0.012555732005293 \tabularnewline
0.43 & 1.34340140458031 & 0.0124608583032689 \tabularnewline
0.44 & 1.34567833433589 & 0.0123041769083356 \tabularnewline
0.45 & 1.34791931208575 & 0.012097384635215 \tabularnewline
0.46 & 1.3501182737992 & 0.0118556602130804 \tabularnewline
0.47 & 1.35227257623899 & 0.0116027821863355 \tabularnewline
0.48 & 1.35438372987595 & 0.011359266570332 \tabularnewline
0.49 & 1.35645797218535 & 0.0111542338777749 \tabularnewline
0.5 & 1.358506645584 & 0.0110172466300917 \tabularnewline
0.51 & 1.3605463083526 & 0.0109831013792012 \tabularnewline
0.52 & 1.36259848476877 & 0.0110768308162184 \tabularnewline
0.53 & 1.36468896498446 & 0.0113292005941523 \tabularnewline
0.54 & 1.36684660087734 & 0.0117556078727178 \tabularnewline
0.55 & 1.3691016069283 & 0.0123582099560023 \tabularnewline
0.56 & 1.3714834527396 & 0.0131246018652681 \tabularnewline
0.57 & 1.3740185090527 & 0.0140239710514704 \tabularnewline
0.58 & 1.37672766522529 & 0.0150168207335212 \tabularnewline
0.59 & 1.37962416132992 & 0.0160480274203116 \tabularnewline
0.6 & 1.382711868863 & 0.0170629031668802 \tabularnewline
0.61 & 1.38598421561699 & 0.0179977501380693 \tabularnewline
0.62 & 1.38942389352847 & 0.0187950966130637 \tabularnewline
0.63 & 1.39300342520688 & 0.019404906620038 \tabularnewline
0.64 & 1.39668660332444 & 0.0197878441670635 \tabularnewline
0.65 & 1.4004307582472 & 0.0199150004567914 \tabularnewline
0.66 & 1.40418974833637 & 0.019772768592762 \tabularnewline
0.67 & 1.40791749769416 & 0.0193742246364896 \tabularnewline
0.68 & 1.41157182559191 & 0.0187459914681977 \tabularnewline
0.69 & 1.41511822754648 & 0.0179345872347208 \tabularnewline
0.7 & 1.41853319775468 & 0.0170048753283721 \tabularnewline
0.71 & 1.42180665131491 & 0.0160348995771128 \tabularnewline
0.72 & 1.42494303744664 & 0.0151051831464906 \tabularnewline
0.73 & 1.42796084867041 & 0.0142966741741306 \tabularnewline
0.74 & 1.43089042746811 & 0.0136721767184568 \tabularnewline
0.75 & 1.43377023435508 & 0.0132702069448665 \tabularnewline
0.76 & 1.43664203390824 & 0.0130976355901285 \tabularnewline
0.77 & 1.4395457279125 & 0.0131258605092923 \tabularnewline
0.78 & 1.44251476134911 & 0.0132968706702784 \tabularnewline
0.79 & 1.4455730989268 & 0.0135392091354014 \tabularnewline
0.8 & 1.44873469205403 & 0.013784494932509 \tabularnewline
0.81 & 1.45200613766486 & 0.0139822488479937 \tabularnewline
0.82 & 1.45539290802675 & 0.0141163372628578 \tabularnewline
0.83 & 1.45890913199271 & 0.0142159524018412 \tabularnewline
0.84 & 1.46259038124116 & 0.0143628735665107 \tabularnewline
0.85 & 1.46650805669402 & 0.0146972364073135 \tabularnewline
0.86 & 1.47078243817075 & 0.0154155435245298 \tabularnewline
0.87 & 1.47558901327949 & 0.0167351738165102 \tabularnewline
0.88 & 1.48114979183489 & 0.0188338437823409 \tabularnewline
0.89 & 1.48769990690898 & 0.0217287384072671 \tabularnewline
0.9 & 1.4954237286084 & 0.0251528543273687 \tabularnewline
0.91 & 1.50436810992936 & 0.0284847412285527 \tabularnewline
0.92 & 1.51436295406561 & 0.0308116287760313 \tabularnewline
0.93 & 1.52499954704052 & 0.0312045462935916 \tabularnewline
0.94 & 1.53571028065517 & 0.0291744169059348 \tabularnewline
0.95 & 1.54593603968459 & 0.0251015150887657 \tabularnewline
0.96 & 1.55527440702562 & 0.0202215884018898 \tabularnewline
0.97 & 1.56345973771736 & 0.0157234912148095 \tabularnewline
0.98 & 1.57015395081177 & 0.0113467781374665 \tabularnewline
0.99 & 1.5748099779179 & 0.00613313191381586 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163194&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]1.19690244581116[/C][C]0.00857001058848773[/C][/ROW]
[ROW][C]0.02[/C][C]1.20218170221793[/C][C]0.0104238605567074[/C][/ROW]
[ROW][C]0.03[/C][C]1.2086612359053[/C][C]0.0132820492788415[/C][/ROW]
[ROW][C]0.04[/C][C]1.21581949325398[/C][C]0.0163108935522816[/C][/ROW]
[ROW][C]0.05[/C][C]1.2234045900362[/C][C]0.0188078424982141[/C][/ROW]
[ROW][C]0.06[/C][C]1.2311564692145[/C][C]0.0201985206378613[/C][/ROW]
[ROW][C]0.07[/C][C]1.23873895761319[/C][C]0.0202029510355848[/C][/ROW]
[ROW][C]0.08[/C][C]1.24580731176109[/C][C]0.0189382336204585[/C][/ROW]
[ROW][C]0.09[/C][C]1.25209882691447[/C][C]0.0168340703189344[/C][/ROW]
[ROW][C]0.1[/C][C]1.25748583219308[/C][C]0.0144279506008825[/C][/ROW]
[ROW][C]0.11[/C][C]1.26197730378491[/C][C]0.0121756144148073[/C][/ROW]
[ROW][C]0.12[/C][C]1.2656837932266[/C][C]0.0103598276292746[/C][/ROW]
[ROW][C]0.13[/C][C]1.26876982948359[/C][C]0.00909727195026788[/C][/ROW]
[ROW][C]0.14[/C][C]1.27141287187408[/C][C]0.0083826763636636[/C][/ROW]
[ROW][C]0.15[/C][C]1.27377699234688[/C][C]0.0081606650068212[/C][/ROW]
[ROW][C]0.16[/C][C]1.27600042244829[/C][C]0.00835189623104817[/C][/ROW]
[ROW][C]0.17[/C][C]1.27819203374929[/C][C]0.00886721331376374[/C][/ROW]
[ROW][C]0.18[/C][C]1.28043191920277[/C][C]0.0096066286075686[/C][/ROW]
[ROW][C]0.19[/C][C]1.2827732092131[/C][C]0.0104743490661117[/C][/ROW]
[ROW][C]0.2[/C][C]1.28524420428364[/C][C]0.0113690888728401[/C][/ROW]
[ROW][C]0.21[/C][C]1.28785099709839[/C][C]0.012205250408168[/C][/ROW]
[ROW][C]0.22[/C][C]1.29058098223308[/C][C]0.0129090333858636[/C][/ROW]
[ROW][C]0.23[/C][C]1.29340737354451[/C][C]0.0134310226901551[/C][/ROW]
[ROW][C]0.24[/C][C]1.29629445052098[/C][C]0.0137490885465942[/C][/ROW]
[ROW][C]0.25[/C][C]1.29920297942379[/C][C]0.0138645712960306[/C][/ROW]
[ROW][C]0.26[/C][C]1.30209518724618[/C][C]0.0137963739510016[/C][/ROW]
[ROW][C]0.27[/C][C]1.30493877672337[/C][C]0.0135806063035086[/C][/ROW]
[ROW][C]0.28[/C][C]1.30770967659278[/C][C]0.0132684651419545[/C][/ROW]
[ROW][C]0.29[/C][C]1.31039343911695[/C][C]0.0129051196267887[/C][/ROW]
[ROW][C]0.3[/C][C]1.31298537110363[/C][C]0.0125409646369443[/C][/ROW]
[ROW][C]0.31[/C][C]1.31548959648164[/C][C]0.0122227427335653[/C][/ROW]
[ROW][C]0.32[/C][C]1.31791730707029[/C][C]0.0119798609008739[/C][/ROW]
[ROW][C]0.33[/C][C]1.32028448392006[/C][C]0.011833527005357[/C][/ROW]
[ROW][C]0.34[/C][C]1.32260938072579[/C][C]0.0117882371262529[/C][/ROW]
[ROW][C]0.35[/C][C]1.32491005761899[/C][C]0.0118383582632932[/C][/ROW]
[ROW][C]0.36[/C][C]1.3272022320318[/C][C]0.0119560234114182[/C][/ROW]
[ROW][C]0.37[/C][C]1.32949766460858[/C][C]0.0121186770662681[/C][/ROW]
[ROW][C]0.38[/C][C]1.33180321982211[/C][C]0.0122883840229849[/C][/ROW]
[ROW][C]0.39[/C][C]1.33412064158759[/C][C]0.0124342482217985[/C][/ROW]
[ROW][C]0.4[/C][C]1.33644698218346[/C][C]0.0125391390050886[/C][/ROW]
[ROW][C]0.41[/C][C]1.33877554021201[/C][C]0.0125814802177617[/C][/ROW]
[ROW][C]0.42[/C][C]1.34109711770693[/C][C]0.012555732005293[/C][/ROW]
[ROW][C]0.43[/C][C]1.34340140458031[/C][C]0.0124608583032689[/C][/ROW]
[ROW][C]0.44[/C][C]1.34567833433589[/C][C]0.0123041769083356[/C][/ROW]
[ROW][C]0.45[/C][C]1.34791931208575[/C][C]0.012097384635215[/C][/ROW]
[ROW][C]0.46[/C][C]1.3501182737992[/C][C]0.0118556602130804[/C][/ROW]
[ROW][C]0.47[/C][C]1.35227257623899[/C][C]0.0116027821863355[/C][/ROW]
[ROW][C]0.48[/C][C]1.35438372987595[/C][C]0.011359266570332[/C][/ROW]
[ROW][C]0.49[/C][C]1.35645797218535[/C][C]0.0111542338777749[/C][/ROW]
[ROW][C]0.5[/C][C]1.358506645584[/C][C]0.0110172466300917[/C][/ROW]
[ROW][C]0.51[/C][C]1.3605463083526[/C][C]0.0109831013792012[/C][/ROW]
[ROW][C]0.52[/C][C]1.36259848476877[/C][C]0.0110768308162184[/C][/ROW]
[ROW][C]0.53[/C][C]1.36468896498446[/C][C]0.0113292005941523[/C][/ROW]
[ROW][C]0.54[/C][C]1.36684660087734[/C][C]0.0117556078727178[/C][/ROW]
[ROW][C]0.55[/C][C]1.3691016069283[/C][C]0.0123582099560023[/C][/ROW]
[ROW][C]0.56[/C][C]1.3714834527396[/C][C]0.0131246018652681[/C][/ROW]
[ROW][C]0.57[/C][C]1.3740185090527[/C][C]0.0140239710514704[/C][/ROW]
[ROW][C]0.58[/C][C]1.37672766522529[/C][C]0.0150168207335212[/C][/ROW]
[ROW][C]0.59[/C][C]1.37962416132992[/C][C]0.0160480274203116[/C][/ROW]
[ROW][C]0.6[/C][C]1.382711868863[/C][C]0.0170629031668802[/C][/ROW]
[ROW][C]0.61[/C][C]1.38598421561699[/C][C]0.0179977501380693[/C][/ROW]
[ROW][C]0.62[/C][C]1.38942389352847[/C][C]0.0187950966130637[/C][/ROW]
[ROW][C]0.63[/C][C]1.39300342520688[/C][C]0.019404906620038[/C][/ROW]
[ROW][C]0.64[/C][C]1.39668660332444[/C][C]0.0197878441670635[/C][/ROW]
[ROW][C]0.65[/C][C]1.4004307582472[/C][C]0.0199150004567914[/C][/ROW]
[ROW][C]0.66[/C][C]1.40418974833637[/C][C]0.019772768592762[/C][/ROW]
[ROW][C]0.67[/C][C]1.40791749769416[/C][C]0.0193742246364896[/C][/ROW]
[ROW][C]0.68[/C][C]1.41157182559191[/C][C]0.0187459914681977[/C][/ROW]
[ROW][C]0.69[/C][C]1.41511822754648[/C][C]0.0179345872347208[/C][/ROW]
[ROW][C]0.7[/C][C]1.41853319775468[/C][C]0.0170048753283721[/C][/ROW]
[ROW][C]0.71[/C][C]1.42180665131491[/C][C]0.0160348995771128[/C][/ROW]
[ROW][C]0.72[/C][C]1.42494303744664[/C][C]0.0151051831464906[/C][/ROW]
[ROW][C]0.73[/C][C]1.42796084867041[/C][C]0.0142966741741306[/C][/ROW]
[ROW][C]0.74[/C][C]1.43089042746811[/C][C]0.0136721767184568[/C][/ROW]
[ROW][C]0.75[/C][C]1.43377023435508[/C][C]0.0132702069448665[/C][/ROW]
[ROW][C]0.76[/C][C]1.43664203390824[/C][C]0.0130976355901285[/C][/ROW]
[ROW][C]0.77[/C][C]1.4395457279125[/C][C]0.0131258605092923[/C][/ROW]
[ROW][C]0.78[/C][C]1.44251476134911[/C][C]0.0132968706702784[/C][/ROW]
[ROW][C]0.79[/C][C]1.4455730989268[/C][C]0.0135392091354014[/C][/ROW]
[ROW][C]0.8[/C][C]1.44873469205403[/C][C]0.013784494932509[/C][/ROW]
[ROW][C]0.81[/C][C]1.45200613766486[/C][C]0.0139822488479937[/C][/ROW]
[ROW][C]0.82[/C][C]1.45539290802675[/C][C]0.0141163372628578[/C][/ROW]
[ROW][C]0.83[/C][C]1.45890913199271[/C][C]0.0142159524018412[/C][/ROW]
[ROW][C]0.84[/C][C]1.46259038124116[/C][C]0.0143628735665107[/C][/ROW]
[ROW][C]0.85[/C][C]1.46650805669402[/C][C]0.0146972364073135[/C][/ROW]
[ROW][C]0.86[/C][C]1.47078243817075[/C][C]0.0154155435245298[/C][/ROW]
[ROW][C]0.87[/C][C]1.47558901327949[/C][C]0.0167351738165102[/C][/ROW]
[ROW][C]0.88[/C][C]1.48114979183489[/C][C]0.0188338437823409[/C][/ROW]
[ROW][C]0.89[/C][C]1.48769990690898[/C][C]0.0217287384072671[/C][/ROW]
[ROW][C]0.9[/C][C]1.4954237286084[/C][C]0.0251528543273687[/C][/ROW]
[ROW][C]0.91[/C][C]1.50436810992936[/C][C]0.0284847412285527[/C][/ROW]
[ROW][C]0.92[/C][C]1.51436295406561[/C][C]0.0308116287760313[/C][/ROW]
[ROW][C]0.93[/C][C]1.52499954704052[/C][C]0.0312045462935916[/C][/ROW]
[ROW][C]0.94[/C][C]1.53571028065517[/C][C]0.0291744169059348[/C][/ROW]
[ROW][C]0.95[/C][C]1.54593603968459[/C][C]0.0251015150887657[/C][/ROW]
[ROW][C]0.96[/C][C]1.55527440702562[/C][C]0.0202215884018898[/C][/ROW]
[ROW][C]0.97[/C][C]1.56345973771736[/C][C]0.0157234912148095[/C][/ROW]
[ROW][C]0.98[/C][C]1.57015395081177[/C][C]0.0113467781374665[/C][/ROW]
[ROW][C]0.99[/C][C]1.5748099779179[/C][C]0.00613313191381586[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163194&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163194&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
0.011.196902445811160.00857001058848773
0.021.202181702217930.0104238605567074
0.031.20866123590530.0132820492788415
0.041.215819493253980.0163108935522816
0.051.22340459003620.0188078424982141
0.061.23115646921450.0201985206378613
0.071.238738957613190.0202029510355848
0.081.245807311761090.0189382336204585
0.091.252098826914470.0168340703189344
0.11.257485832193080.0144279506008825
0.111.261977303784910.0121756144148073
0.121.26568379322660.0103598276292746
0.131.268769829483590.00909727195026788
0.141.271412871874080.0083826763636636
0.151.273776992346880.0081606650068212
0.161.276000422448290.00835189623104817
0.171.278192033749290.00886721331376374
0.181.280431919202770.0096066286075686
0.191.28277320921310.0104743490661117
0.21.285244204283640.0113690888728401
0.211.287850997098390.012205250408168
0.221.290580982233080.0129090333858636
0.231.293407373544510.0134310226901551
0.241.296294450520980.0137490885465942
0.251.299202979423790.0138645712960306
0.261.302095187246180.0137963739510016
0.271.304938776723370.0135806063035086
0.281.307709676592780.0132684651419545
0.291.310393439116950.0129051196267887
0.31.312985371103630.0125409646369443
0.311.315489596481640.0122227427335653
0.321.317917307070290.0119798609008739
0.331.320284483920060.011833527005357
0.341.322609380725790.0117882371262529
0.351.324910057618990.0118383582632932
0.361.32720223203180.0119560234114182
0.371.329497664608580.0121186770662681
0.381.331803219822110.0122883840229849
0.391.334120641587590.0124342482217985
0.41.336446982183460.0125391390050886
0.411.338775540212010.0125814802177617
0.421.341097117706930.012555732005293
0.431.343401404580310.0124608583032689
0.441.345678334335890.0123041769083356
0.451.347919312085750.012097384635215
0.461.35011827379920.0118556602130804
0.471.352272576238990.0116027821863355
0.481.354383729875950.011359266570332
0.491.356457972185350.0111542338777749
0.51.3585066455840.0110172466300917
0.511.36054630835260.0109831013792012
0.521.362598484768770.0110768308162184
0.531.364688964984460.0113292005941523
0.541.366846600877340.0117556078727178
0.551.36910160692830.0123582099560023
0.561.37148345273960.0131246018652681
0.571.37401850905270.0140239710514704
0.581.376727665225290.0150168207335212
0.591.379624161329920.0160480274203116
0.61.3827118688630.0170629031668802
0.611.385984215616990.0179977501380693
0.621.389423893528470.0187950966130637
0.631.393003425206880.019404906620038
0.641.396686603324440.0197878441670635
0.651.40043075824720.0199150004567914
0.661.404189748336370.019772768592762
0.671.407917497694160.0193742246364896
0.681.411571825591910.0187459914681977
0.691.415118227546480.0179345872347208
0.71.418533197754680.0170048753283721
0.711.421806651314910.0160348995771128
0.721.424943037446640.0151051831464906
0.731.427960848670410.0142966741741306
0.741.430890427468110.0136721767184568
0.751.433770234355080.0132702069448665
0.761.436642033908240.0130976355901285
0.771.43954572791250.0131258605092923
0.781.442514761349110.0132968706702784
0.791.44557309892680.0135392091354014
0.81.448734692054030.013784494932509
0.811.452006137664860.0139822488479937
0.821.455392908026750.0141163372628578
0.831.458909131992710.0142159524018412
0.841.462590381241160.0143628735665107
0.851.466508056694020.0146972364073135
0.861.470782438170750.0154155435245298
0.871.475589013279490.0167351738165102
0.881.481149791834890.0188338437823409
0.891.487699906908980.0217287384072671
0.91.49542372860840.0251528543273687
0.911.504368109929360.0284847412285527
0.921.514362954065610.0308116287760313
0.931.524999547040520.0312045462935916
0.941.535710280655170.0291744169059348
0.951.545936039684590.0251015150887657
0.961.555274407025620.0202215884018898
0.971.563459737717360.0157234912148095
0.981.570153950811770.0113467781374665
0.991.57480997791790.00613313191381586


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')