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Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 02 Mar 2008 10:43:19 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Mar/02/t1204479905dozg5msjkzlk47z.htm/, Retrieved Tue, 07 May 2024 00:31:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9632, Retrieved Tue, 07 May 2024 00:31:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact172
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [Percentielen prij...] [2008-03-02 17:43:19] [a3a2988ef7dc4a3ac06bf68b078ac3cb] [Current]
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Dataseries X:
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.43
1.44
1.47
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.48
1.57
1.58
1.58
1.58
1.58
1.59
1.6
1.6
1.6
1.6
1.61
1.61
1.62
1.63
1.63
1.63
1.63
1.63
1.64
1.64
1.64
1.65
1.65







Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9632&T=0

[TABLE]
[ROW][C]Summary of compuational 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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9632&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9632&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.430001125273225.665153971563e-06
0.021.430007999377053.80937259152660e-05
0.031.430034065754600.000145655713543708
0.041.430109272859220.000417353590807571
0.051.430288321214380.000981340722263868
0.061.430655706711620.0019792564631196
0.071.431323280739160.00352572858500211
0.081.432417605847130.00565846006674835
0.091.434057810292400.00829354303370105
0.11.436328599561980.0112193532726990
0.111.439255763293720.014125242196662
0.121.442791600859500.0166590022793076
0.131.446815026377060.0185051656214303
0.141.451146764463630.0194478150620847
0.151.455575717615530.0194100633865849
0.161.459889814989340.0184569258821646
0.171.463904195146490.0167683349511007
0.181.467481229522410.0145901221288941
0.191.470539761796980.0121839196924032
0.21.473053911155910.00978397093503636
0.211.475043986668860.00756684481232976
0.221.476563077300090.00564530902727626
0.231.477682778035220.00406764125276411
0.241.478480653075270.00283446281082894
0.251.479030880291900.00191176405883414
0.261.47939844879720.00124937225393497
0.271.479636515426310.000791797923888488
0.281.479786126084650.000487225422575526
0.291.479877419616040.000291059522766551
0.31.479931547349970.000169242569344155
0.311.479962750510469.54270638492725e-05
0.321.479980256581725.23975070603779e-05
0.331.479989836341732.82133239386545e-05
0.341.479994988198141.46941298808028e-05
0.351.479997788655428.06641052417415e-06
0.361.479999480016465.22082331236992e-06
0.371.480000873687536.78251808103109e-06
0.381.480002642370091.19101418982366e-05
0.391.480005565757462.21179482481168e-05
0.41.480010786982914.0076357820276e-05
0.411.480020132654897.22787970507769e-05
0.421.480036547086860.000125274027377699
0.431.480064688675170.000214041444516296
0.441.480111729343470.000354101698520102
0.451.480188381807020.000571764795670026
0.461.480310149408210.000898493525640876
0.471.480498746072800.00137922017093970
0.481.480783569247940.00206263768238866
0.491.481203031205140.00300821126105666
0.51.481805475009630.00427728443961082
0.511.482649338767920.00593026281722792
0.521.483802208590950.00801681291884485
0.531.485338441104450.0105705611121480
0.541.487335158720250.0135889088585290
0.551.489866630222430.0170373327764700
0.561.492997330069730.0208303825578934
0.571.496774282874550.0248350153365013
0.581.501219584319410.0288769882081932
0.591.506324174725720.0327459965622746
0.61.512043960500120.0362172170025782
0.611.518299190816780.0390760353615351
0.621.524977603562470.0411357769032978
0.631.531941307988310.0422650175165516
0.641.539036769696080.0424050962223992
0.651.546106730814440.0415727468616772
0.661.553002554619370.0398632371433443
0.671.559595412279430.0374340529137226
0.681.565784949888390.0344885911017686
0.691.571504534812520.031247615714577
0.71.576722770412270.0279314540172129
0.711.581441547406170.0247343041250527
0.721.585691340089580.0218127281364064
0.731.589524676480220.0192766513024918
0.741.593008703612540.0171913272631208
0.751.596217592026780.0155763130588112
0.761.599225281807000.0144139478422383
0.771.602098878376830.0136465585028356
0.781.604892938662800.0131886601264932
0.791.607644963487710.0129288330152284
0.81.610372574035180.0127449038408871
0.811.613072983969750.0125192059077464
0.821.615725345015010.0121537139379319
0.831.618296227649330.0115840852961582
0.841.620747863628850.0107935208776122
0.851.623047913375220.00981724568992406
0.861.625178673440030.00873723463858569
0.871.627143192510200.00767309554799006
0.881.628966157228320.00675294777561882
0.891.630688935685690.00607685348992438
0.91.632360657307210.00566791400008822
0.911.634029671137970.00545423936173241
0.921.635740231110230.00532214257020093
0.931.637535610498340.00520618316889263
0.941.639460615589540.00515255649145959
0.951.641548106647750.00525910924823742
0.961.643776557323590.00544091335422723
0.971.646010571779380.00525058719138475
0.981.647978709780860.00412220693978129
0.991.649362075084330.0020256772826385

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.43000112527322 & 5.665153971563e-06 \tabularnewline
0.02 & 1.43000799937705 & 3.80937259152660e-05 \tabularnewline
0.03 & 1.43003406575460 & 0.000145655713543708 \tabularnewline
0.04 & 1.43010927285922 & 0.000417353590807571 \tabularnewline
0.05 & 1.43028832121438 & 0.000981340722263868 \tabularnewline
0.06 & 1.43065570671162 & 0.0019792564631196 \tabularnewline
0.07 & 1.43132328073916 & 0.00352572858500211 \tabularnewline
0.08 & 1.43241760584713 & 0.00565846006674835 \tabularnewline
0.09 & 1.43405781029240 & 0.00829354303370105 \tabularnewline
0.1 & 1.43632859956198 & 0.0112193532726990 \tabularnewline
0.11 & 1.43925576329372 & 0.014125242196662 \tabularnewline
0.12 & 1.44279160085950 & 0.0166590022793076 \tabularnewline
0.13 & 1.44681502637706 & 0.0185051656214303 \tabularnewline
0.14 & 1.45114676446363 & 0.0194478150620847 \tabularnewline
0.15 & 1.45557571761553 & 0.0194100633865849 \tabularnewline
0.16 & 1.45988981498934 & 0.0184569258821646 \tabularnewline
0.17 & 1.46390419514649 & 0.0167683349511007 \tabularnewline
0.18 & 1.46748122952241 & 0.0145901221288941 \tabularnewline
0.19 & 1.47053976179698 & 0.0121839196924032 \tabularnewline
0.2 & 1.47305391115591 & 0.00978397093503636 \tabularnewline
0.21 & 1.47504398666886 & 0.00756684481232976 \tabularnewline
0.22 & 1.47656307730009 & 0.00564530902727626 \tabularnewline
0.23 & 1.47768277803522 & 0.00406764125276411 \tabularnewline
0.24 & 1.47848065307527 & 0.00283446281082894 \tabularnewline
0.25 & 1.47903088029190 & 0.00191176405883414 \tabularnewline
0.26 & 1.4793984487972 & 0.00124937225393497 \tabularnewline
0.27 & 1.47963651542631 & 0.000791797923888488 \tabularnewline
0.28 & 1.47978612608465 & 0.000487225422575526 \tabularnewline
0.29 & 1.47987741961604 & 0.000291059522766551 \tabularnewline
0.3 & 1.47993154734997 & 0.000169242569344155 \tabularnewline
0.31 & 1.47996275051046 & 9.54270638492725e-05 \tabularnewline
0.32 & 1.47998025658172 & 5.23975070603779e-05 \tabularnewline
0.33 & 1.47998983634173 & 2.82133239386545e-05 \tabularnewline
0.34 & 1.47999498819814 & 1.46941298808028e-05 \tabularnewline
0.35 & 1.47999778865542 & 8.06641052417415e-06 \tabularnewline
0.36 & 1.47999948001646 & 5.22082331236992e-06 \tabularnewline
0.37 & 1.48000087368753 & 6.78251808103109e-06 \tabularnewline
0.38 & 1.48000264237009 & 1.19101418982366e-05 \tabularnewline
0.39 & 1.48000556575746 & 2.21179482481168e-05 \tabularnewline
0.4 & 1.48001078698291 & 4.0076357820276e-05 \tabularnewline
0.41 & 1.48002013265489 & 7.22787970507769e-05 \tabularnewline
0.42 & 1.48003654708686 & 0.000125274027377699 \tabularnewline
0.43 & 1.48006468867517 & 0.000214041444516296 \tabularnewline
0.44 & 1.48011172934347 & 0.000354101698520102 \tabularnewline
0.45 & 1.48018838180702 & 0.000571764795670026 \tabularnewline
0.46 & 1.48031014940821 & 0.000898493525640876 \tabularnewline
0.47 & 1.48049874607280 & 0.00137922017093970 \tabularnewline
0.48 & 1.48078356924794 & 0.00206263768238866 \tabularnewline
0.49 & 1.48120303120514 & 0.00300821126105666 \tabularnewline
0.5 & 1.48180547500963 & 0.00427728443961082 \tabularnewline
0.51 & 1.48264933876792 & 0.00593026281722792 \tabularnewline
0.52 & 1.48380220859095 & 0.00801681291884485 \tabularnewline
0.53 & 1.48533844110445 & 0.0105705611121480 \tabularnewline
0.54 & 1.48733515872025 & 0.0135889088585290 \tabularnewline
0.55 & 1.48986663022243 & 0.0170373327764700 \tabularnewline
0.56 & 1.49299733006973 & 0.0208303825578934 \tabularnewline
0.57 & 1.49677428287455 & 0.0248350153365013 \tabularnewline
0.58 & 1.50121958431941 & 0.0288769882081932 \tabularnewline
0.59 & 1.50632417472572 & 0.0327459965622746 \tabularnewline
0.6 & 1.51204396050012 & 0.0362172170025782 \tabularnewline
0.61 & 1.51829919081678 & 0.0390760353615351 \tabularnewline
0.62 & 1.52497760356247 & 0.0411357769032978 \tabularnewline
0.63 & 1.53194130798831 & 0.0422650175165516 \tabularnewline
0.64 & 1.53903676969608 & 0.0424050962223992 \tabularnewline
0.65 & 1.54610673081444 & 0.0415727468616772 \tabularnewline
0.66 & 1.55300255461937 & 0.0398632371433443 \tabularnewline
0.67 & 1.55959541227943 & 0.0374340529137226 \tabularnewline
0.68 & 1.56578494988839 & 0.0344885911017686 \tabularnewline
0.69 & 1.57150453481252 & 0.031247615714577 \tabularnewline
0.7 & 1.57672277041227 & 0.0279314540172129 \tabularnewline
0.71 & 1.58144154740617 & 0.0247343041250527 \tabularnewline
0.72 & 1.58569134008958 & 0.0218127281364064 \tabularnewline
0.73 & 1.58952467648022 & 0.0192766513024918 \tabularnewline
0.74 & 1.59300870361254 & 0.0171913272631208 \tabularnewline
0.75 & 1.59621759202678 & 0.0155763130588112 \tabularnewline
0.76 & 1.59922528180700 & 0.0144139478422383 \tabularnewline
0.77 & 1.60209887837683 & 0.0136465585028356 \tabularnewline
0.78 & 1.60489293866280 & 0.0131886601264932 \tabularnewline
0.79 & 1.60764496348771 & 0.0129288330152284 \tabularnewline
0.8 & 1.61037257403518 & 0.0127449038408871 \tabularnewline
0.81 & 1.61307298396975 & 0.0125192059077464 \tabularnewline
0.82 & 1.61572534501501 & 0.0121537139379319 \tabularnewline
0.83 & 1.61829622764933 & 0.0115840852961582 \tabularnewline
0.84 & 1.62074786362885 & 0.0107935208776122 \tabularnewline
0.85 & 1.62304791337522 & 0.00981724568992406 \tabularnewline
0.86 & 1.62517867344003 & 0.00873723463858569 \tabularnewline
0.87 & 1.62714319251020 & 0.00767309554799006 \tabularnewline
0.88 & 1.62896615722832 & 0.00675294777561882 \tabularnewline
0.89 & 1.63068893568569 & 0.00607685348992438 \tabularnewline
0.9 & 1.63236065730721 & 0.00566791400008822 \tabularnewline
0.91 & 1.63402967113797 & 0.00545423936173241 \tabularnewline
0.92 & 1.63574023111023 & 0.00532214257020093 \tabularnewline
0.93 & 1.63753561049834 & 0.00520618316889263 \tabularnewline
0.94 & 1.63946061558954 & 0.00515255649145959 \tabularnewline
0.95 & 1.64154810664775 & 0.00525910924823742 \tabularnewline
0.96 & 1.64377655732359 & 0.00544091335422723 \tabularnewline
0.97 & 1.64601057177938 & 0.00525058719138475 \tabularnewline
0.98 & 1.64797870978086 & 0.00412220693978129 \tabularnewline
0.99 & 1.64936207508433 & 0.0020256772826385 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9632&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]1.43000112527322[/C][C]5.665153971563e-06[/C][/ROW]
[ROW][C]0.02[/C][C]1.43000799937705[/C][C]3.80937259152660e-05[/C][/ROW]
[ROW][C]0.03[/C][C]1.43003406575460[/C][C]0.000145655713543708[/C][/ROW]
[ROW][C]0.04[/C][C]1.43010927285922[/C][C]0.000417353590807571[/C][/ROW]
[ROW][C]0.05[/C][C]1.43028832121438[/C][C]0.000981340722263868[/C][/ROW]
[ROW][C]0.06[/C][C]1.43065570671162[/C][C]0.0019792564631196[/C][/ROW]
[ROW][C]0.07[/C][C]1.43132328073916[/C][C]0.00352572858500211[/C][/ROW]
[ROW][C]0.08[/C][C]1.43241760584713[/C][C]0.00565846006674835[/C][/ROW]
[ROW][C]0.09[/C][C]1.43405781029240[/C][C]0.00829354303370105[/C][/ROW]
[ROW][C]0.1[/C][C]1.43632859956198[/C][C]0.0112193532726990[/C][/ROW]
[ROW][C]0.11[/C][C]1.43925576329372[/C][C]0.014125242196662[/C][/ROW]
[ROW][C]0.12[/C][C]1.44279160085950[/C][C]0.0166590022793076[/C][/ROW]
[ROW][C]0.13[/C][C]1.44681502637706[/C][C]0.0185051656214303[/C][/ROW]
[ROW][C]0.14[/C][C]1.45114676446363[/C][C]0.0194478150620847[/C][/ROW]
[ROW][C]0.15[/C][C]1.45557571761553[/C][C]0.0194100633865849[/C][/ROW]
[ROW][C]0.16[/C][C]1.45988981498934[/C][C]0.0184569258821646[/C][/ROW]
[ROW][C]0.17[/C][C]1.46390419514649[/C][C]0.0167683349511007[/C][/ROW]
[ROW][C]0.18[/C][C]1.46748122952241[/C][C]0.0145901221288941[/C][/ROW]
[ROW][C]0.19[/C][C]1.47053976179698[/C][C]0.0121839196924032[/C][/ROW]
[ROW][C]0.2[/C][C]1.47305391115591[/C][C]0.00978397093503636[/C][/ROW]
[ROW][C]0.21[/C][C]1.47504398666886[/C][C]0.00756684481232976[/C][/ROW]
[ROW][C]0.22[/C][C]1.47656307730009[/C][C]0.00564530902727626[/C][/ROW]
[ROW][C]0.23[/C][C]1.47768277803522[/C][C]0.00406764125276411[/C][/ROW]
[ROW][C]0.24[/C][C]1.47848065307527[/C][C]0.00283446281082894[/C][/ROW]
[ROW][C]0.25[/C][C]1.47903088029190[/C][C]0.00191176405883414[/C][/ROW]
[ROW][C]0.26[/C][C]1.4793984487972[/C][C]0.00124937225393497[/C][/ROW]
[ROW][C]0.27[/C][C]1.47963651542631[/C][C]0.000791797923888488[/C][/ROW]
[ROW][C]0.28[/C][C]1.47978612608465[/C][C]0.000487225422575526[/C][/ROW]
[ROW][C]0.29[/C][C]1.47987741961604[/C][C]0.000291059522766551[/C][/ROW]
[ROW][C]0.3[/C][C]1.47993154734997[/C][C]0.000169242569344155[/C][/ROW]
[ROW][C]0.31[/C][C]1.47996275051046[/C][C]9.54270638492725e-05[/C][/ROW]
[ROW][C]0.32[/C][C]1.47998025658172[/C][C]5.23975070603779e-05[/C][/ROW]
[ROW][C]0.33[/C][C]1.47998983634173[/C][C]2.82133239386545e-05[/C][/ROW]
[ROW][C]0.34[/C][C]1.47999498819814[/C][C]1.46941298808028e-05[/C][/ROW]
[ROW][C]0.35[/C][C]1.47999778865542[/C][C]8.06641052417415e-06[/C][/ROW]
[ROW][C]0.36[/C][C]1.47999948001646[/C][C]5.22082331236992e-06[/C][/ROW]
[ROW][C]0.37[/C][C]1.48000087368753[/C][C]6.78251808103109e-06[/C][/ROW]
[ROW][C]0.38[/C][C]1.48000264237009[/C][C]1.19101418982366e-05[/C][/ROW]
[ROW][C]0.39[/C][C]1.48000556575746[/C][C]2.21179482481168e-05[/C][/ROW]
[ROW][C]0.4[/C][C]1.48001078698291[/C][C]4.0076357820276e-05[/C][/ROW]
[ROW][C]0.41[/C][C]1.48002013265489[/C][C]7.22787970507769e-05[/C][/ROW]
[ROW][C]0.42[/C][C]1.48003654708686[/C][C]0.000125274027377699[/C][/ROW]
[ROW][C]0.43[/C][C]1.48006468867517[/C][C]0.000214041444516296[/C][/ROW]
[ROW][C]0.44[/C][C]1.48011172934347[/C][C]0.000354101698520102[/C][/ROW]
[ROW][C]0.45[/C][C]1.48018838180702[/C][C]0.000571764795670026[/C][/ROW]
[ROW][C]0.46[/C][C]1.48031014940821[/C][C]0.000898493525640876[/C][/ROW]
[ROW][C]0.47[/C][C]1.48049874607280[/C][C]0.00137922017093970[/C][/ROW]
[ROW][C]0.48[/C][C]1.48078356924794[/C][C]0.00206263768238866[/C][/ROW]
[ROW][C]0.49[/C][C]1.48120303120514[/C][C]0.00300821126105666[/C][/ROW]
[ROW][C]0.5[/C][C]1.48180547500963[/C][C]0.00427728443961082[/C][/ROW]
[ROW][C]0.51[/C][C]1.48264933876792[/C][C]0.00593026281722792[/C][/ROW]
[ROW][C]0.52[/C][C]1.48380220859095[/C][C]0.00801681291884485[/C][/ROW]
[ROW][C]0.53[/C][C]1.48533844110445[/C][C]0.0105705611121480[/C][/ROW]
[ROW][C]0.54[/C][C]1.48733515872025[/C][C]0.0135889088585290[/C][/ROW]
[ROW][C]0.55[/C][C]1.48986663022243[/C][C]0.0170373327764700[/C][/ROW]
[ROW][C]0.56[/C][C]1.49299733006973[/C][C]0.0208303825578934[/C][/ROW]
[ROW][C]0.57[/C][C]1.49677428287455[/C][C]0.0248350153365013[/C][/ROW]
[ROW][C]0.58[/C][C]1.50121958431941[/C][C]0.0288769882081932[/C][/ROW]
[ROW][C]0.59[/C][C]1.50632417472572[/C][C]0.0327459965622746[/C][/ROW]
[ROW][C]0.6[/C][C]1.51204396050012[/C][C]0.0362172170025782[/C][/ROW]
[ROW][C]0.61[/C][C]1.51829919081678[/C][C]0.0390760353615351[/C][/ROW]
[ROW][C]0.62[/C][C]1.52497760356247[/C][C]0.0411357769032978[/C][/ROW]
[ROW][C]0.63[/C][C]1.53194130798831[/C][C]0.0422650175165516[/C][/ROW]
[ROW][C]0.64[/C][C]1.53903676969608[/C][C]0.0424050962223992[/C][/ROW]
[ROW][C]0.65[/C][C]1.54610673081444[/C][C]0.0415727468616772[/C][/ROW]
[ROW][C]0.66[/C][C]1.55300255461937[/C][C]0.0398632371433443[/C][/ROW]
[ROW][C]0.67[/C][C]1.55959541227943[/C][C]0.0374340529137226[/C][/ROW]
[ROW][C]0.68[/C][C]1.56578494988839[/C][C]0.0344885911017686[/C][/ROW]
[ROW][C]0.69[/C][C]1.57150453481252[/C][C]0.031247615714577[/C][/ROW]
[ROW][C]0.7[/C][C]1.57672277041227[/C][C]0.0279314540172129[/C][/ROW]
[ROW][C]0.71[/C][C]1.58144154740617[/C][C]0.0247343041250527[/C][/ROW]
[ROW][C]0.72[/C][C]1.58569134008958[/C][C]0.0218127281364064[/C][/ROW]
[ROW][C]0.73[/C][C]1.58952467648022[/C][C]0.0192766513024918[/C][/ROW]
[ROW][C]0.74[/C][C]1.59300870361254[/C][C]0.0171913272631208[/C][/ROW]
[ROW][C]0.75[/C][C]1.59621759202678[/C][C]0.0155763130588112[/C][/ROW]
[ROW][C]0.76[/C][C]1.59922528180700[/C][C]0.0144139478422383[/C][/ROW]
[ROW][C]0.77[/C][C]1.60209887837683[/C][C]0.0136465585028356[/C][/ROW]
[ROW][C]0.78[/C][C]1.60489293866280[/C][C]0.0131886601264932[/C][/ROW]
[ROW][C]0.79[/C][C]1.60764496348771[/C][C]0.0129288330152284[/C][/ROW]
[ROW][C]0.8[/C][C]1.61037257403518[/C][C]0.0127449038408871[/C][/ROW]
[ROW][C]0.81[/C][C]1.61307298396975[/C][C]0.0125192059077464[/C][/ROW]
[ROW][C]0.82[/C][C]1.61572534501501[/C][C]0.0121537139379319[/C][/ROW]
[ROW][C]0.83[/C][C]1.61829622764933[/C][C]0.0115840852961582[/C][/ROW]
[ROW][C]0.84[/C][C]1.62074786362885[/C][C]0.0107935208776122[/C][/ROW]
[ROW][C]0.85[/C][C]1.62304791337522[/C][C]0.00981724568992406[/C][/ROW]
[ROW][C]0.86[/C][C]1.62517867344003[/C][C]0.00873723463858569[/C][/ROW]
[ROW][C]0.87[/C][C]1.62714319251020[/C][C]0.00767309554799006[/C][/ROW]
[ROW][C]0.88[/C][C]1.62896615722832[/C][C]0.00675294777561882[/C][/ROW]
[ROW][C]0.89[/C][C]1.63068893568569[/C][C]0.00607685348992438[/C][/ROW]
[ROW][C]0.9[/C][C]1.63236065730721[/C][C]0.00566791400008822[/C][/ROW]
[ROW][C]0.91[/C][C]1.63402967113797[/C][C]0.00545423936173241[/C][/ROW]
[ROW][C]0.92[/C][C]1.63574023111023[/C][C]0.00532214257020093[/C][/ROW]
[ROW][C]0.93[/C][C]1.63753561049834[/C][C]0.00520618316889263[/C][/ROW]
[ROW][C]0.94[/C][C]1.63946061558954[/C][C]0.00515255649145959[/C][/ROW]
[ROW][C]0.95[/C][C]1.64154810664775[/C][C]0.00525910924823742[/C][/ROW]
[ROW][C]0.96[/C][C]1.64377655732359[/C][C]0.00544091335422723[/C][/ROW]
[ROW][C]0.97[/C][C]1.64601057177938[/C][C]0.00525058719138475[/C][/ROW]
[ROW][C]0.98[/C][C]1.64797870978086[/C][C]0.00412220693978129[/C][/ROW]
[ROW][C]0.99[/C][C]1.64936207508433[/C][C]0.0020256772826385[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9632&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9632&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.430001125273225.665153971563e-06
0.021.430007999377053.80937259152660e-05
0.031.430034065754600.000145655713543708
0.041.430109272859220.000417353590807571
0.051.430288321214380.000981340722263868
0.061.430655706711620.0019792564631196
0.071.431323280739160.00352572858500211
0.081.432417605847130.00565846006674835
0.091.434057810292400.00829354303370105
0.11.436328599561980.0112193532726990
0.111.439255763293720.014125242196662
0.121.442791600859500.0166590022793076
0.131.446815026377060.0185051656214303
0.141.451146764463630.0194478150620847
0.151.455575717615530.0194100633865849
0.161.459889814989340.0184569258821646
0.171.463904195146490.0167683349511007
0.181.467481229522410.0145901221288941
0.191.470539761796980.0121839196924032
0.21.473053911155910.00978397093503636
0.211.475043986668860.00756684481232976
0.221.476563077300090.00564530902727626
0.231.477682778035220.00406764125276411
0.241.478480653075270.00283446281082894
0.251.479030880291900.00191176405883414
0.261.47939844879720.00124937225393497
0.271.479636515426310.000791797923888488
0.281.479786126084650.000487225422575526
0.291.479877419616040.000291059522766551
0.31.479931547349970.000169242569344155
0.311.479962750510469.54270638492725e-05
0.321.479980256581725.23975070603779e-05
0.331.479989836341732.82133239386545e-05
0.341.479994988198141.46941298808028e-05
0.351.479997788655428.06641052417415e-06
0.361.479999480016465.22082331236992e-06
0.371.480000873687536.78251808103109e-06
0.381.480002642370091.19101418982366e-05
0.391.480005565757462.21179482481168e-05
0.41.480010786982914.0076357820276e-05
0.411.480020132654897.22787970507769e-05
0.421.480036547086860.000125274027377699
0.431.480064688675170.000214041444516296
0.441.480111729343470.000354101698520102
0.451.480188381807020.000571764795670026
0.461.480310149408210.000898493525640876
0.471.480498746072800.00137922017093970
0.481.480783569247940.00206263768238866
0.491.481203031205140.00300821126105666
0.51.481805475009630.00427728443961082
0.511.482649338767920.00593026281722792
0.521.483802208590950.00801681291884485
0.531.485338441104450.0105705611121480
0.541.487335158720250.0135889088585290
0.551.489866630222430.0170373327764700
0.561.492997330069730.0208303825578934
0.571.496774282874550.0248350153365013
0.581.501219584319410.0288769882081932
0.591.506324174725720.0327459965622746
0.61.512043960500120.0362172170025782
0.611.518299190816780.0390760353615351
0.621.524977603562470.0411357769032978
0.631.531941307988310.0422650175165516
0.641.539036769696080.0424050962223992
0.651.546106730814440.0415727468616772
0.661.553002554619370.0398632371433443
0.671.559595412279430.0374340529137226
0.681.565784949888390.0344885911017686
0.691.571504534812520.031247615714577
0.71.576722770412270.0279314540172129
0.711.581441547406170.0247343041250527
0.721.585691340089580.0218127281364064
0.731.589524676480220.0192766513024918
0.741.593008703612540.0171913272631208
0.751.596217592026780.0155763130588112
0.761.599225281807000.0144139478422383
0.771.602098878376830.0136465585028356
0.781.604892938662800.0131886601264932
0.791.607644963487710.0129288330152284
0.81.610372574035180.0127449038408871
0.811.613072983969750.0125192059077464
0.821.615725345015010.0121537139379319
0.831.618296227649330.0115840852961582
0.841.620747863628850.0107935208776122
0.851.623047913375220.00981724568992406
0.861.625178673440030.00873723463858569
0.871.627143192510200.00767309554799006
0.881.628966157228320.00675294777561882
0.891.630688935685690.00607685348992438
0.91.632360657307210.00566791400008822
0.911.634029671137970.00545423936173241
0.921.635740231110230.00532214257020093
0.931.637535610498340.00520618316889263
0.941.639460615589540.00515255649145959
0.951.641548106647750.00525910924823742
0.961.643776557323590.00544091335422723
0.971.646010571779380.00525058719138475
0.981.647978709780860.00412220693978129
0.991.649362075084330.0020256772826385



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')