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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, 02 Mar 2008 06:33:28 -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/t1204464877gtgrwohy7nzc4f7.htm/, Retrieved Mon, 06 May 2024 18:39:18 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=9515, Retrieved Mon, 06 May 2024 18:39:18 +0000
QR Codes:

Original text written by user:Tomas van Gastel
IsPrivate?No (this computation is public)
User-defined keywordsvoetbal 1ste klasse
Estimated Impact198

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] [inkomprijzen] [2008-03-02 13:33:28] [c0c8a7bf52d32ed636461b577d7f50ce] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14.32
14.32
14.32
14.32
14.32
14.32
14.32
14.67
14.8
14.8
14.8
14.8
14.8
14.8
14.8
14.8
14.8
14.8
14.8
15.56
15.56
15.56
15.56
15.56
15.56
15.56
15.56
15.56
15.56
15.56
15.56
16.8
16.8
16.8
16.8
16.8
16.8
16.8
16.8
16.8
16.8
16.8
16.8
17.43
17.43
17.43
17.43
17.43
17.43
17.43
17.43
17.43
17.43
17.43
17.43
18.61
18.61
18.61
18.61
18.61
18.61
18.61
18.61
18.61
18.61
18.61
18.61
20
20
20
20
20
20
20
20
20
20
20
20
20.61
20.61
20.61
20.61
20.61
20.61
20.61
20.61
20.61
20.61
20.61
20.61
19.47
19.47
19.47
19.47
19.47

Tables (Output of Computation)





Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9515&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9515&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9515&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0114.32025284829080.00116694422942306
0.0214.32214565218240.00804869988279541
0.0314.32930001787040.0280314754633794
0.0414.34739124718330.065395120373282
0.0514.38172787350030.114730617840320
0.0614.43382913095850.161265528110522
0.0714.49962534876110.189120521551457
0.0814.57077990673600.190488261817027
0.0914.63820849400750.168861749336390
0.114.69552572264370.135530343061100
0.1114.74072501317720.103669670110699
0.1214.77587340543780.0848688183276094
0.1314.80563552239720.087171282767314
0.1414.83557098101980.110597814170933
0.1514.87074644391100.148890330925722
0.1614.91479653945500.194875958489696
0.1714.96939839397910.241073348807049
0.1815.03413545356360.280041527197021
0.1915.10676128263880.305873060324241
0.215.18383914352610.315598447996776
0.2115.26163685535860.310111522785765
0.2215.33706476694150.294038523327595
0.2315.40841798994950.274837198726045
0.2415.47573957343790.261326114273497
0.2515.54073295968720.261499029120264
0.2615.60627405936080.279689232749983
0.2715.67566634273870.314786948204017
0.2815.75182737625390.361281016748618
0.2915.83659220395160.411433253413914
0.315.93027818923390.457108434724317
0.3116.03159048453050.491079490763099
0.3216.13787052090040.508255884229532
0.3316.24561605808490.506426498647268
0.3416.35114547603120.486664519545313
0.3516.45125400555020.452871010479661
0.3616.54372152464750.410920898609913
0.3716.62757638857910.367482853293082
0.3816.70308417396720.328727175261366
0.3916.77149605964140.299312586030575
0.416.83464205438360.281353193241143
0.4116.89447891334150.274064281721758
0.4216.95269907519710.274419766018244
0.4317.01048014974670.278435471444833
0.4417.06841354453560.282546292585896
0.4517.12660615469600.284563932150263
0.4617.18491004286400.283921240401064
0.4717.24320875855900.281890112097488
0.4817.30167950195360.281107596243051
0.4917.36095869560010.285025432884181
0.517.42216256755260.296799400233066
0.5117.48674918131610.318070887866911
0.5217.55624697619390.348206104363942
0.5317.63190922584310.384245663178997
0.5417.71437608140220.421605271026311
0.5517.80343012159770.455003886734667
0.5617.89791516620560.479449288186037
0.5717.99585377469620.491164973617684
0.5818.09475344813430.488346350606749
0.5918.19204577013800.471706852744091
0.618.28556821721860.444343320940831
0.6118.37398445605450.411330397183799
0.6218.45704975740660.378968286817034
0.6318.53566132613850.353667338394505
0.6418.61168069094040.340655762090441
0.6518.68756516583540.34247462578373
0.6618.76588579725620.358095557398724
0.6718.84883077564150.383468956869992
0.6818.93779145669840.412937492083694
0.6919.03310427261650.440625141178967
0.719.13398305915520.461362258064766
0.7119.23863388865750.471313597603082
0.7219.34451036721940.46824494169189
0.7319.44865015545700.451584088514844
0.7419.54803516476860.422245014372905
0.7519.63993314623820.382331448713372
0.7619.72219748925170.334863099193184
0.7719.79351577676800.283544790838028
0.7819.85360138550620.232514386607824
0.7919.90331676193890.186146981884558
0.819.94470517844430.148948090488435
0.8119.98089325707660.125619411546565
0.8220.01581458472990.120486071588703
0.8320.05370732998740.134348963969973
0.8420.09837620900960.162568157690599
0.8520.15229882153490.19708661678854
0.8620.21578765483680.228444688733849
0.8720.28653113409130.247209935773846
0.8820.35983032901790.246380504805638
0.8920.42964672824120.223891282227981
0.920.49021623982500.183783279345551
0.9120.53764584569480.134874857047758
0.9220.57083072964280.087420090095365
0.9320.59132538386670.049284303864075
0.9420.60232836854850.0236830262580360
0.9520.60736189378610.00944369894401437
0.9620.60927113754140.00300034185200457
0.9720.60984824707630.000713196014001086
0.9820.60997879972210.000110668347000168
0.9920.60999850310471.22964830000187e-05

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 14.3202528482908 & 0.00116694422942306 \tabularnewline
0.02 & 14.3221456521824 & 0.00804869988279541 \tabularnewline
0.03 & 14.3293000178704 & 0.0280314754633794 \tabularnewline
0.04 & 14.3473912471833 & 0.065395120373282 \tabularnewline
0.05 & 14.3817278735003 & 0.114730617840320 \tabularnewline
0.06 & 14.4338291309585 & 0.161265528110522 \tabularnewline
0.07 & 14.4996253487611 & 0.189120521551457 \tabularnewline
0.08 & 14.5707799067360 & 0.190488261817027 \tabularnewline
0.09 & 14.6382084940075 & 0.168861749336390 \tabularnewline
0.1 & 14.6955257226437 & 0.135530343061100 \tabularnewline
0.11 & 14.7407250131772 & 0.103669670110699 \tabularnewline
0.12 & 14.7758734054378 & 0.0848688183276094 \tabularnewline
0.13 & 14.8056355223972 & 0.087171282767314 \tabularnewline
0.14 & 14.8355709810198 & 0.110597814170933 \tabularnewline
0.15 & 14.8707464439110 & 0.148890330925722 \tabularnewline
0.16 & 14.9147965394550 & 0.194875958489696 \tabularnewline
0.17 & 14.9693983939791 & 0.241073348807049 \tabularnewline
0.18 & 15.0341354535636 & 0.280041527197021 \tabularnewline
0.19 & 15.1067612826388 & 0.305873060324241 \tabularnewline
0.2 & 15.1838391435261 & 0.315598447996776 \tabularnewline
0.21 & 15.2616368553586 & 0.310111522785765 \tabularnewline
0.22 & 15.3370647669415 & 0.294038523327595 \tabularnewline
0.23 & 15.4084179899495 & 0.274837198726045 \tabularnewline
0.24 & 15.4757395734379 & 0.261326114273497 \tabularnewline
0.25 & 15.5407329596872 & 0.261499029120264 \tabularnewline
0.26 & 15.6062740593608 & 0.279689232749983 \tabularnewline
0.27 & 15.6756663427387 & 0.314786948204017 \tabularnewline
0.28 & 15.7518273762539 & 0.361281016748618 \tabularnewline
0.29 & 15.8365922039516 & 0.411433253413914 \tabularnewline
0.3 & 15.9302781892339 & 0.457108434724317 \tabularnewline
0.31 & 16.0315904845305 & 0.491079490763099 \tabularnewline
0.32 & 16.1378705209004 & 0.508255884229532 \tabularnewline
0.33 & 16.2456160580849 & 0.506426498647268 \tabularnewline
0.34 & 16.3511454760312 & 0.486664519545313 \tabularnewline
0.35 & 16.4512540055502 & 0.452871010479661 \tabularnewline
0.36 & 16.5437215246475 & 0.410920898609913 \tabularnewline
0.37 & 16.6275763885791 & 0.367482853293082 \tabularnewline
0.38 & 16.7030841739672 & 0.328727175261366 \tabularnewline
0.39 & 16.7714960596414 & 0.299312586030575 \tabularnewline
0.4 & 16.8346420543836 & 0.281353193241143 \tabularnewline
0.41 & 16.8944789133415 & 0.274064281721758 \tabularnewline
0.42 & 16.9526990751971 & 0.274419766018244 \tabularnewline
0.43 & 17.0104801497467 & 0.278435471444833 \tabularnewline
0.44 & 17.0684135445356 & 0.282546292585896 \tabularnewline
0.45 & 17.1266061546960 & 0.284563932150263 \tabularnewline
0.46 & 17.1849100428640 & 0.283921240401064 \tabularnewline
0.47 & 17.2432087585590 & 0.281890112097488 \tabularnewline
0.48 & 17.3016795019536 & 0.281107596243051 \tabularnewline
0.49 & 17.3609586956001 & 0.285025432884181 \tabularnewline
0.5 & 17.4221625675526 & 0.296799400233066 \tabularnewline
0.51 & 17.4867491813161 & 0.318070887866911 \tabularnewline
0.52 & 17.5562469761939 & 0.348206104363942 \tabularnewline
0.53 & 17.6319092258431 & 0.384245663178997 \tabularnewline
0.54 & 17.7143760814022 & 0.421605271026311 \tabularnewline
0.55 & 17.8034301215977 & 0.455003886734667 \tabularnewline
0.56 & 17.8979151662056 & 0.479449288186037 \tabularnewline
0.57 & 17.9958537746962 & 0.491164973617684 \tabularnewline
0.58 & 18.0947534481343 & 0.488346350606749 \tabularnewline
0.59 & 18.1920457701380 & 0.471706852744091 \tabularnewline
0.6 & 18.2855682172186 & 0.444343320940831 \tabularnewline
0.61 & 18.3739844560545 & 0.411330397183799 \tabularnewline
0.62 & 18.4570497574066 & 0.378968286817034 \tabularnewline
0.63 & 18.5356613261385 & 0.353667338394505 \tabularnewline
0.64 & 18.6116806909404 & 0.340655762090441 \tabularnewline
0.65 & 18.6875651658354 & 0.34247462578373 \tabularnewline
0.66 & 18.7658857972562 & 0.358095557398724 \tabularnewline
0.67 & 18.8488307756415 & 0.383468956869992 \tabularnewline
0.68 & 18.9377914566984 & 0.412937492083694 \tabularnewline
0.69 & 19.0331042726165 & 0.440625141178967 \tabularnewline
0.7 & 19.1339830591552 & 0.461362258064766 \tabularnewline
0.71 & 19.2386338886575 & 0.471313597603082 \tabularnewline
0.72 & 19.3445103672194 & 0.46824494169189 \tabularnewline
0.73 & 19.4486501554570 & 0.451584088514844 \tabularnewline
0.74 & 19.5480351647686 & 0.422245014372905 \tabularnewline
0.75 & 19.6399331462382 & 0.382331448713372 \tabularnewline
0.76 & 19.7221974892517 & 0.334863099193184 \tabularnewline
0.77 & 19.7935157767680 & 0.283544790838028 \tabularnewline
0.78 & 19.8536013855062 & 0.232514386607824 \tabularnewline
0.79 & 19.9033167619389 & 0.186146981884558 \tabularnewline
0.8 & 19.9447051784443 & 0.148948090488435 \tabularnewline
0.81 & 19.9808932570766 & 0.125619411546565 \tabularnewline
0.82 & 20.0158145847299 & 0.120486071588703 \tabularnewline
0.83 & 20.0537073299874 & 0.134348963969973 \tabularnewline
0.84 & 20.0983762090096 & 0.162568157690599 \tabularnewline
0.85 & 20.1522988215349 & 0.19708661678854 \tabularnewline
0.86 & 20.2157876548368 & 0.228444688733849 \tabularnewline
0.87 & 20.2865311340913 & 0.247209935773846 \tabularnewline
0.88 & 20.3598303290179 & 0.246380504805638 \tabularnewline
0.89 & 20.4296467282412 & 0.223891282227981 \tabularnewline
0.9 & 20.4902162398250 & 0.183783279345551 \tabularnewline
0.91 & 20.5376458456948 & 0.134874857047758 \tabularnewline
0.92 & 20.5708307296428 & 0.087420090095365 \tabularnewline
0.93 & 20.5913253838667 & 0.049284303864075 \tabularnewline
0.94 & 20.6023283685485 & 0.0236830262580360 \tabularnewline
0.95 & 20.6073618937861 & 0.00944369894401437 \tabularnewline
0.96 & 20.6092711375414 & 0.00300034185200457 \tabularnewline
0.97 & 20.6098482470763 & 0.000713196014001086 \tabularnewline
0.98 & 20.6099787997221 & 0.000110668347000168 \tabularnewline
0.99 & 20.6099985031047 & 1.22964830000187e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=9515&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]14.3202528482908[/C][C]0.00116694422942306[/C][/ROW]
[ROW][C]0.02[/C][C]14.3221456521824[/C][C]0.00804869988279541[/C][/ROW]
[ROW][C]0.03[/C][C]14.3293000178704[/C][C]0.0280314754633794[/C][/ROW]
[ROW][C]0.04[/C][C]14.3473912471833[/C][C]0.065395120373282[/C][/ROW]
[ROW][C]0.05[/C][C]14.3817278735003[/C][C]0.114730617840320[/C][/ROW]
[ROW][C]0.06[/C][C]14.4338291309585[/C][C]0.161265528110522[/C][/ROW]
[ROW][C]0.07[/C][C]14.4996253487611[/C][C]0.189120521551457[/C][/ROW]
[ROW][C]0.08[/C][C]14.5707799067360[/C][C]0.190488261817027[/C][/ROW]
[ROW][C]0.09[/C][C]14.6382084940075[/C][C]0.168861749336390[/C][/ROW]
[ROW][C]0.1[/C][C]14.6955257226437[/C][C]0.135530343061100[/C][/ROW]
[ROW][C]0.11[/C][C]14.7407250131772[/C][C]0.103669670110699[/C][/ROW]
[ROW][C]0.12[/C][C]14.7758734054378[/C][C]0.0848688183276094[/C][/ROW]
[ROW][C]0.13[/C][C]14.8056355223972[/C][C]0.087171282767314[/C][/ROW]
[ROW][C]0.14[/C][C]14.8355709810198[/C][C]0.110597814170933[/C][/ROW]
[ROW][C]0.15[/C][C]14.8707464439110[/C][C]0.148890330925722[/C][/ROW]
[ROW][C]0.16[/C][C]14.9147965394550[/C][C]0.194875958489696[/C][/ROW]
[ROW][C]0.17[/C][C]14.9693983939791[/C][C]0.241073348807049[/C][/ROW]
[ROW][C]0.18[/C][C]15.0341354535636[/C][C]0.280041527197021[/C][/ROW]
[ROW][C]0.19[/C][C]15.1067612826388[/C][C]0.305873060324241[/C][/ROW]
[ROW][C]0.2[/C][C]15.1838391435261[/C][C]0.315598447996776[/C][/ROW]
[ROW][C]0.21[/C][C]15.2616368553586[/C][C]0.310111522785765[/C][/ROW]
[ROW][C]0.22[/C][C]15.3370647669415[/C][C]0.294038523327595[/C][/ROW]
[ROW][C]0.23[/C][C]15.4084179899495[/C][C]0.274837198726045[/C][/ROW]
[ROW][C]0.24[/C][C]15.4757395734379[/C][C]0.261326114273497[/C][/ROW]
[ROW][C]0.25[/C][C]15.5407329596872[/C][C]0.261499029120264[/C][/ROW]
[ROW][C]0.26[/C][C]15.6062740593608[/C][C]0.279689232749983[/C][/ROW]
[ROW][C]0.27[/C][C]15.6756663427387[/C][C]0.314786948204017[/C][/ROW]
[ROW][C]0.28[/C][C]15.7518273762539[/C][C]0.361281016748618[/C][/ROW]
[ROW][C]0.29[/C][C]15.8365922039516[/C][C]0.411433253413914[/C][/ROW]
[ROW][C]0.3[/C][C]15.9302781892339[/C][C]0.457108434724317[/C][/ROW]
[ROW][C]0.31[/C][C]16.0315904845305[/C][C]0.491079490763099[/C][/ROW]
[ROW][C]0.32[/C][C]16.1378705209004[/C][C]0.508255884229532[/C][/ROW]
[ROW][C]0.33[/C][C]16.2456160580849[/C][C]0.506426498647268[/C][/ROW]
[ROW][C]0.34[/C][C]16.3511454760312[/C][C]0.486664519545313[/C][/ROW]
[ROW][C]0.35[/C][C]16.4512540055502[/C][C]0.452871010479661[/C][/ROW]
[ROW][C]0.36[/C][C]16.5437215246475[/C][C]0.410920898609913[/C][/ROW]
[ROW][C]0.37[/C][C]16.6275763885791[/C][C]0.367482853293082[/C][/ROW]
[ROW][C]0.38[/C][C]16.7030841739672[/C][C]0.328727175261366[/C][/ROW]
[ROW][C]0.39[/C][C]16.7714960596414[/C][C]0.299312586030575[/C][/ROW]
[ROW][C]0.4[/C][C]16.8346420543836[/C][C]0.281353193241143[/C][/ROW]
[ROW][C]0.41[/C][C]16.8944789133415[/C][C]0.274064281721758[/C][/ROW]
[ROW][C]0.42[/C][C]16.9526990751971[/C][C]0.274419766018244[/C][/ROW]
[ROW][C]0.43[/C][C]17.0104801497467[/C][C]0.278435471444833[/C][/ROW]
[ROW][C]0.44[/C][C]17.0684135445356[/C][C]0.282546292585896[/C][/ROW]
[ROW][C]0.45[/C][C]17.1266061546960[/C][C]0.284563932150263[/C][/ROW]
[ROW][C]0.46[/C][C]17.1849100428640[/C][C]0.283921240401064[/C][/ROW]
[ROW][C]0.47[/C][C]17.2432087585590[/C][C]0.281890112097488[/C][/ROW]
[ROW][C]0.48[/C][C]17.3016795019536[/C][C]0.281107596243051[/C][/ROW]
[ROW][C]0.49[/C][C]17.3609586956001[/C][C]0.285025432884181[/C][/ROW]
[ROW][C]0.5[/C][C]17.4221625675526[/C][C]0.296799400233066[/C][/ROW]
[ROW][C]0.51[/C][C]17.4867491813161[/C][C]0.318070887866911[/C][/ROW]
[ROW][C]0.52[/C][C]17.5562469761939[/C][C]0.348206104363942[/C][/ROW]
[ROW][C]0.53[/C][C]17.6319092258431[/C][C]0.384245663178997[/C][/ROW]
[ROW][C]0.54[/C][C]17.7143760814022[/C][C]0.421605271026311[/C][/ROW]
[ROW][C]0.55[/C][C]17.8034301215977[/C][C]0.455003886734667[/C][/ROW]
[ROW][C]0.56[/C][C]17.8979151662056[/C][C]0.479449288186037[/C][/ROW]
[ROW][C]0.57[/C][C]17.9958537746962[/C][C]0.491164973617684[/C][/ROW]
[ROW][C]0.58[/C][C]18.0947534481343[/C][C]0.488346350606749[/C][/ROW]
[ROW][C]0.59[/C][C]18.1920457701380[/C][C]0.471706852744091[/C][/ROW]
[ROW][C]0.6[/C][C]18.2855682172186[/C][C]0.444343320940831[/C][/ROW]
[ROW][C]0.61[/C][C]18.3739844560545[/C][C]0.411330397183799[/C][/ROW]
[ROW][C]0.62[/C][C]18.4570497574066[/C][C]0.378968286817034[/C][/ROW]
[ROW][C]0.63[/C][C]18.5356613261385[/C][C]0.353667338394505[/C][/ROW]
[ROW][C]0.64[/C][C]18.6116806909404[/C][C]0.340655762090441[/C][/ROW]
[ROW][C]0.65[/C][C]18.6875651658354[/C][C]0.34247462578373[/C][/ROW]
[ROW][C]0.66[/C][C]18.7658857972562[/C][C]0.358095557398724[/C][/ROW]
[ROW][C]0.67[/C][C]18.8488307756415[/C][C]0.383468956869992[/C][/ROW]
[ROW][C]0.68[/C][C]18.9377914566984[/C][C]0.412937492083694[/C][/ROW]
[ROW][C]0.69[/C][C]19.0331042726165[/C][C]0.440625141178967[/C][/ROW]
[ROW][C]0.7[/C][C]19.1339830591552[/C][C]0.461362258064766[/C][/ROW]
[ROW][C]0.71[/C][C]19.2386338886575[/C][C]0.471313597603082[/C][/ROW]
[ROW][C]0.72[/C][C]19.3445103672194[/C][C]0.46824494169189[/C][/ROW]
[ROW][C]0.73[/C][C]19.4486501554570[/C][C]0.451584088514844[/C][/ROW]
[ROW][C]0.74[/C][C]19.5480351647686[/C][C]0.422245014372905[/C][/ROW]
[ROW][C]0.75[/C][C]19.6399331462382[/C][C]0.382331448713372[/C][/ROW]
[ROW][C]0.76[/C][C]19.7221974892517[/C][C]0.334863099193184[/C][/ROW]
[ROW][C]0.77[/C][C]19.7935157767680[/C][C]0.283544790838028[/C][/ROW]
[ROW][C]0.78[/C][C]19.8536013855062[/C][C]0.232514386607824[/C][/ROW]
[ROW][C]0.79[/C][C]19.9033167619389[/C][C]0.186146981884558[/C][/ROW]
[ROW][C]0.8[/C][C]19.9447051784443[/C][C]0.148948090488435[/C][/ROW]
[ROW][C]0.81[/C][C]19.9808932570766[/C][C]0.125619411546565[/C][/ROW]
[ROW][C]0.82[/C][C]20.0158145847299[/C][C]0.120486071588703[/C][/ROW]
[ROW][C]0.83[/C][C]20.0537073299874[/C][C]0.134348963969973[/C][/ROW]
[ROW][C]0.84[/C][C]20.0983762090096[/C][C]0.162568157690599[/C][/ROW]
[ROW][C]0.85[/C][C]20.1522988215349[/C][C]0.19708661678854[/C][/ROW]
[ROW][C]0.86[/C][C]20.2157876548368[/C][C]0.228444688733849[/C][/ROW]
[ROW][C]0.87[/C][C]20.2865311340913[/C][C]0.247209935773846[/C][/ROW]
[ROW][C]0.88[/C][C]20.3598303290179[/C][C]0.246380504805638[/C][/ROW]
[ROW][C]0.89[/C][C]20.4296467282412[/C][C]0.223891282227981[/C][/ROW]
[ROW][C]0.9[/C][C]20.4902162398250[/C][C]0.183783279345551[/C][/ROW]
[ROW][C]0.91[/C][C]20.5376458456948[/C][C]0.134874857047758[/C][/ROW]
[ROW][C]0.92[/C][C]20.5708307296428[/C][C]0.087420090095365[/C][/ROW]
[ROW][C]0.93[/C][C]20.5913253838667[/C][C]0.049284303864075[/C][/ROW]
[ROW][C]0.94[/C][C]20.6023283685485[/C][C]0.0236830262580360[/C][/ROW]
[ROW][C]0.95[/C][C]20.6073618937861[/C][C]0.00944369894401437[/C][/ROW]
[ROW][C]0.96[/C][C]20.6092711375414[/C][C]0.00300034185200457[/C][/ROW]
[ROW][C]0.97[/C][C]20.6098482470763[/C][C]0.000713196014001086[/C][/ROW]
[ROW][C]0.98[/C][C]20.6099787997221[/C][C]0.000110668347000168[/C][/ROW]
[ROW][C]0.99[/C][C]20.6099985031047[/C][C]1.22964830000187e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=9515&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=9515&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
0.0114.32025284829080.00116694422942306
0.0214.32214565218240.00804869988279541
0.0314.32930001787040.0280314754633794
0.0414.34739124718330.065395120373282
0.0514.38172787350030.114730617840320
0.0614.43382913095850.161265528110522
0.0714.49962534876110.189120521551457
0.0814.57077990673600.190488261817027
0.0914.63820849400750.168861749336390
0.114.69552572264370.135530343061100
0.1114.74072501317720.103669670110699
0.1214.77587340543780.0848688183276094
0.1314.80563552239720.087171282767314
0.1414.83557098101980.110597814170933
0.1514.87074644391100.148890330925722
0.1614.91479653945500.194875958489696
0.1714.96939839397910.241073348807049
0.1815.03413545356360.280041527197021
0.1915.10676128263880.305873060324241
0.215.18383914352610.315598447996776
0.2115.26163685535860.310111522785765
0.2215.33706476694150.294038523327595
0.2315.40841798994950.274837198726045
0.2415.47573957343790.261326114273497
0.2515.54073295968720.261499029120264
0.2615.60627405936080.279689232749983
0.2715.67566634273870.314786948204017
0.2815.75182737625390.361281016748618
0.2915.83659220395160.411433253413914
0.315.93027818923390.457108434724317
0.3116.03159048453050.491079490763099
0.3216.13787052090040.508255884229532
0.3316.24561605808490.506426498647268
0.3416.35114547603120.486664519545313
0.3516.45125400555020.452871010479661
0.3616.54372152464750.410920898609913
0.3716.62757638857910.367482853293082
0.3816.70308417396720.328727175261366
0.3916.77149605964140.299312586030575
0.416.83464205438360.281353193241143
0.4116.89447891334150.274064281721758
0.4216.95269907519710.274419766018244
0.4317.01048014974670.278435471444833
0.4417.06841354453560.282546292585896
0.4517.12660615469600.284563932150263
0.4617.18491004286400.283921240401064
0.4717.24320875855900.281890112097488
0.4817.30167950195360.281107596243051
0.4917.36095869560010.285025432884181
0.517.42216256755260.296799400233066
0.5117.48674918131610.318070887866911
0.5217.55624697619390.348206104363942
0.5317.63190922584310.384245663178997
0.5417.71437608140220.421605271026311
0.5517.80343012159770.455003886734667
0.5617.89791516620560.479449288186037
0.5717.99585377469620.491164973617684
0.5818.09475344813430.488346350606749
0.5918.19204577013800.471706852744091
0.618.28556821721860.444343320940831
0.6118.37398445605450.411330397183799
0.6218.45704975740660.378968286817034
0.6318.53566132613850.353667338394505
0.6418.61168069094040.340655762090441
0.6518.68756516583540.34247462578373
0.6618.76588579725620.358095557398724
0.6718.84883077564150.383468956869992
0.6818.93779145669840.412937492083694
0.6919.03310427261650.440625141178967
0.719.13398305915520.461362258064766
0.7119.23863388865750.471313597603082
0.7219.34451036721940.46824494169189
0.7319.44865015545700.451584088514844
0.7419.54803516476860.422245014372905
0.7519.63993314623820.382331448713372
0.7619.72219748925170.334863099193184
0.7719.79351577676800.283544790838028
0.7819.85360138550620.232514386607824
0.7919.90331676193890.186146981884558
0.819.94470517844430.148948090488435
0.8119.98089325707660.125619411546565
0.8220.01581458472990.120486071588703
0.8320.05370732998740.134348963969973
0.8420.09837620900960.162568157690599
0.8520.15229882153490.19708661678854
0.8620.21578765483680.228444688733849
0.8720.28653113409130.247209935773846
0.8820.35983032901790.246380504805638
0.8920.42964672824120.223891282227981
0.920.49021623982500.183783279345551
0.9120.53764584569480.134874857047758
0.9220.57083072964280.087420090095365
0.9320.59132538386670.049284303864075
0.9420.60232836854850.0236830262580360
0.9520.60736189378610.00944369894401437
0.9620.60927113754140.00300034185200457
0.9720.60984824707630.000713196014001086
0.9820.60997879972210.000110668347000168
0.9920.60999850310471.22964830000187e-05


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 10698 ; par2 = 43129 ; par3 = 0.1 ;
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')