FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationFri, 19 Nov 2010 09:21:14 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/19/t12901584064vmay8zpyer8g0p.htm/, Retrieved Fri, 03 May 2024 19:55:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=97864, Retrieved Fri, 03 May 2024 19:55:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact146

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2010-10-20 18:18:38] [b98453cac15ba1066b407e146608df68]
- RMP   [Harrell-Davis Quantiles] [] [2010-11-04 21:27:04] [b98453cac15ba1066b407e146608df68]
-   PD    [Harrell-Davis Quantiles] [] [2010-11-19 08:48:34] [fc9068db680cd880760a7c0fccd81a61]
-    D        [Harrell-Davis Quantiles] [HAR Buy] [2010-11-19 09:21:14] [a8abc7260f3c847aeac0a796e7895a2e] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
-4.3964831775156E-14
-4.3964831775156E-14
-0.003712875552444
-1.7319479184152E-14
-1.7319479184152E-14
-1.7319479184152E-14
0.0037128755523828
-4.3964831775156E-14
-4.3964831775156E-14
-4.3964831775156E-14
-4.3964831775156E-14
-0.003712875552444
-1.7319479184152E-14
-1.7319479184152E-14
0.0037128755523828
-4.3964831775156E-14
-4.3964831775156E-14
-4.3964831775156E-14
-4.3964831775156E-14
-4.3964831775156E-14
-0.003712875552444
-1.7319479184152E-14
-1.7319479184152E-14
0.0037128755523828
-4.3964831775156E-14
-4.3964831775156E-14
-0.003712875552444
0.0037128755523828
-4.3964831775156E-14
-4.3964831775156E-14
-4.3964831775156E-14
-0.003712875552444
0.0037128755523828
-0.003712875552444
-1.7319479184152E-14
-1.7319479184152E-14
0.0037128755523828
-4.3964831775156E-14
-4.3964831775156E-14
-4.3964831775156E-14
-4.3964831775156E-14
-4.3964831775156E-14
-0.003712875552444
-1.7319479184152E-14
-1.7319479184152E-14
-1.7319479184152E-14
-1.7319479184152E-14
-1.7319479184152E-14
0.0037128755523828
-4.3964831775156E-14
-0.003712875552444
0.014158439037482
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
0.0036742233618829
-0.0036742233619012
-1.6875389974302E-14
0.0036742233618829
-0.0036742233619012
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
0.0036742233618829
-0.0036742233619012
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
0.0036742233618829
-0.0036742233619012
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-0.0036742233619012
0.0036742233618829
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
-1.6875389974302E-14
0.0036742233618829
-0.0036742233619012
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
0.0036742233618829
-0.0036742233619012
-1.6875389974302E-14
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
-1.3322676295502E-15
-1.3322676295502E-15
-0.0036742233619012
0.0036742233618829
-0.0036742233619012
-1.6875389974302E-14
0.0036742233618829
-1.3322676295502E-15
0.014563364187899
2.2204460492503E-15
2.2204460492503E-15
2.2204460492503E-15
-0.0048309272696976
0.0048309272696678
2.2204460492503E-15
-0.0048309272696976
0.018591240109868
0.0035587226169853
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-0.0035587226170088
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
0.0035587226169853
-8.8817841970013E-15
-0.0035587226170088
-1.4654943925052E-14
0.0035587226169853
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-0.0035587226170088
0.0035587226169853
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-0.0035587226170088
-1.4654943925052E-14
0.0035587226169853
-0.0035587226170088
-1.4654943925052E-14
0.0035587226169853
-8.8817841970013E-15
-0.0035587226170088
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
0.0035587226169853
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-0.0035587226170088
0.0035587226169853
-8.8817841970013E-15
-8.8817841970013E-15
-0.0035587226170088
0.0035587226169853
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-0.0035587226170088
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
0.0035587226169853
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-0.0035587226170088
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
0.0035587226169853
-8.8817841970013E-15
-0.0035587226170088
0.0035587226169853
-8.8817841970013E-15
-0.0035587226170088
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
-1.4654943925052E-14
0.0035587226169853
-8.8817841970013E-15
-8.8817841970013E-15
-8.8817841970013E-15
-0.0035587226170088
-1.4654943925052E-14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk

\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 & 3 seconds \tabularnewline
R Server & 'RServer@AstonUniversity' @ vre.aston.ac.uk \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97864&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'RServer@AstonUniversity' @ vre.aston.ac.uk[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97864&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97864&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 time3 seconds
R Server'RServer@AstonUniversity' @ vre.aston.ac.uk






Harrell-Davis Quantiles
quantilesvaluestandard error
0.90.003610886051090160.000112914878395013
0.9010.003617210299346940.000102073767615348
0.9020.003622954885612829.22580245312737e-05
0.9030.003628170988136088.33750367511461e-05
0.9040.003632905471283877.53431905409736e-05
0.9050.003637201113752246.80773198521852e-05
0.9060.00364109686324326.15043725959307e-05
0.9070.003644628108602265.55561993074728e-05
0.9080.00364782696117965.01656762337276e-05
0.9090.00365072253807114.52766806525603e-05
0.910.003653341240875234.08381093100559e-05
0.9110.003655707024630373.68029606962031e-05
0.9120.003657841652640233.31310178429001e-05
0.9130.00365976493392062.97868031572081e-05
0.9140.003661494940980982.6736440477488e-05
0.9150.003663048206565922.39572952845522e-05
0.9160.003664439898804072.14223417670781e-05
0.9170.00366568397493461.91118601711768e-05
0.9180.003666793314391761.70071316496816e-05
0.9190.003667779832523951.5091383634802e-05
0.920.003668654576605451.33507135879906e-05
0.9210.003669427806069821.177416373226e-05
0.9220.003670109059061951.03471341560068e-05
0.9230.003670707207481729.05945340691943e-06
0.9240.003671230502687097.90292740480585e-06
0.9250.003671686613953516.867296688426e-06
0.9260.003672082661662675.94175879164007e-06
0.9270.003672425247031025.12010587757858e-06
0.9280.003672720480001484.39250787514219e-06
0.9290.003672974006720253.75320231965436e-06
0.930.003673191037816723.19159673848782e-06
0.9310.003673376378504262.70491338790123e-06
0.9320.003673534461328782.28256133491599e-06
0.9330.003673669382212931.92026955073391e-06
0.9340.003673784940275381.61355440688002e-06
0.9350.003673884681743431.35478959584117e-06
0.9360.003673971948117621.14358429722486e-06
0.9370.003674049928579459.73519354273788e-07
0.9380.003674121716449428.45607516207467e-07
0.9390.003674190369290017.57604490128501e-07
0.940.003674258971998177.1362611347888e-07
0.9410.003674330701934817.12984247756795e-07
0.9420.003674408894790837.58891355641184e-07
0.9430.003674497109490428.48556554277288e-07
0.9440.003674599189992989.82477782723653e-07
0.9450.003674719321392751.16290534667601e-06
0.9460.003674862077265691.38933818518785e-06
0.9470.003675032454824571.66607756503923e-06
0.9480.003675235894187921.99628909409834e-06
0.9490.003675478278041892.38285100604651e-06
0.950.003675765908304532.83270889293151e-06
0.9510.003676105457256323.34649745705754e-06
0.9520.003676503892200453.92713569462802e-06
0.9530.003676968375352554.57617191450181e-06
0.9540.003677506144729085.29332094633415e-06
0.9550.003678124387848766.0751315715477e-06
0.9560.003678830128839326.9175359647784e-06
0.9570.003679630162121797.81335199492479e-06
0.9580.003680531083733438.75249610694844e-06
0.9590.003681539496669429.72754416550941e-06
0.960.003682662502314891.07244024307701e-05
0.9610.003683908640109581.17343609768947e-05
0.9620.003685289507338921.2751026710151e-05
0.9630.003686822387145961.37742435825347e-05
0.9640.003688534343718431.4820992145714e-05
0.9650.003690468418384911.59335777337474e-05
0.9660.003692692788315041.71958917611883e-05
0.9670.003695314037828741.87661035699442e-05
0.9680.003698496042420632.09173389329696e-05
0.9690.003702486367498512.40982622653454e-05
0.970.003707652507791182.89863736144428e-05
0.9710.003714530678902263.65385469216014e-05
0.9720.003723890115011254.80316231257594e-05
0.9730.003736815763829326.51416804075202e-05
0.9740.003754811670775149.00551851518113e-05
0.9750.003779925908919230.000125623534676198
0.9760.003814895289142810.000175502834254308
0.9770.003863303926854270.000244267913066471
0.9780.003929743798060710.000337448077232308
0.9790.004019957697264960.000461461536288174
0.980.004140935998990730.0006233654817049
0.9810.004300929548880090.000830358961471457
0.9820.00450933407693790.00108898586505262
0.9830.004776400037795110.00140395073404002
0.9840.005112729941143840.00177660114746345
0.9850.00552854738834320.00220312150502279
0.9860.006032761127275540.00267269565371921
0.9870.0066319025393990.00316600992038549
0.9880.007329078023986230.00365464306970515
0.9890.008123130439417110.00410200369789696
0.990.009008216409721670.0044664909132613
0.9910.009973941847214230.00470733865975163
0.9920.01100602528354070.00479315350849758
0.9930.01208717792713010.00471255260600559
0.9940.01319756951252010.00448530557625774
0.9950.0143140623293730.00417092645967573
0.9960.01540762114169570.00386739431896177
0.9970.01643924878489170.00368480192077762
0.9980.01735656799105820.00368501930538215
0.9990.01809532402800560.00383176682323003

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.9 & 0.00361088605109016 & 0.000112914878395013 \tabularnewline
0.901 & 0.00361721029934694 & 0.000102073767615348 \tabularnewline
0.902 & 0.00362295488561282 & 9.22580245312737e-05 \tabularnewline
0.903 & 0.00362817098813608 & 8.33750367511461e-05 \tabularnewline
0.904 & 0.00363290547128387 & 7.53431905409736e-05 \tabularnewline
0.905 & 0.00363720111375224 & 6.80773198521852e-05 \tabularnewline
0.906 & 0.0036410968632432 & 6.15043725959307e-05 \tabularnewline
0.907 & 0.00364462810860226 & 5.55561993074728e-05 \tabularnewline
0.908 & 0.0036478269611796 & 5.01656762337276e-05 \tabularnewline
0.909 & 0.0036507225380711 & 4.52766806525603e-05 \tabularnewline
0.91 & 0.00365334124087523 & 4.08381093100559e-05 \tabularnewline
0.911 & 0.00365570702463037 & 3.68029606962031e-05 \tabularnewline
0.912 & 0.00365784165264023 & 3.31310178429001e-05 \tabularnewline
0.913 & 0.0036597649339206 & 2.97868031572081e-05 \tabularnewline
0.914 & 0.00366149494098098 & 2.6736440477488e-05 \tabularnewline
0.915 & 0.00366304820656592 & 2.39572952845522e-05 \tabularnewline
0.916 & 0.00366443989880407 & 2.14223417670781e-05 \tabularnewline
0.917 & 0.0036656839749346 & 1.91118601711768e-05 \tabularnewline
0.918 & 0.00366679331439176 & 1.70071316496816e-05 \tabularnewline
0.919 & 0.00366777983252395 & 1.5091383634802e-05 \tabularnewline
0.92 & 0.00366865457660545 & 1.33507135879906e-05 \tabularnewline
0.921 & 0.00366942780606982 & 1.177416373226e-05 \tabularnewline
0.922 & 0.00367010905906195 & 1.03471341560068e-05 \tabularnewline
0.923 & 0.00367070720748172 & 9.05945340691943e-06 \tabularnewline
0.924 & 0.00367123050268709 & 7.90292740480585e-06 \tabularnewline
0.925 & 0.00367168661395351 & 6.867296688426e-06 \tabularnewline
0.926 & 0.00367208266166267 & 5.94175879164007e-06 \tabularnewline
0.927 & 0.00367242524703102 & 5.12010587757858e-06 \tabularnewline
0.928 & 0.00367272048000148 & 4.39250787514219e-06 \tabularnewline
0.929 & 0.00367297400672025 & 3.75320231965436e-06 \tabularnewline
0.93 & 0.00367319103781672 & 3.19159673848782e-06 \tabularnewline
0.931 & 0.00367337637850426 & 2.70491338790123e-06 \tabularnewline
0.932 & 0.00367353446132878 & 2.28256133491599e-06 \tabularnewline
0.933 & 0.00367366938221293 & 1.92026955073391e-06 \tabularnewline
0.934 & 0.00367378494027538 & 1.61355440688002e-06 \tabularnewline
0.935 & 0.00367388468174343 & 1.35478959584117e-06 \tabularnewline
0.936 & 0.00367397194811762 & 1.14358429722486e-06 \tabularnewline
0.937 & 0.00367404992857945 & 9.73519354273788e-07 \tabularnewline
0.938 & 0.00367412171644942 & 8.45607516207467e-07 \tabularnewline
0.939 & 0.00367419036929001 & 7.57604490128501e-07 \tabularnewline
0.94 & 0.00367425897199817 & 7.1362611347888e-07 \tabularnewline
0.941 & 0.00367433070193481 & 7.12984247756795e-07 \tabularnewline
0.942 & 0.00367440889479083 & 7.58891355641184e-07 \tabularnewline
0.943 & 0.00367449710949042 & 8.48556554277288e-07 \tabularnewline
0.944 & 0.00367459918999298 & 9.82477782723653e-07 \tabularnewline
0.945 & 0.00367471932139275 & 1.16290534667601e-06 \tabularnewline
0.946 & 0.00367486207726569 & 1.38933818518785e-06 \tabularnewline
0.947 & 0.00367503245482457 & 1.66607756503923e-06 \tabularnewline
0.948 & 0.00367523589418792 & 1.99628909409834e-06 \tabularnewline
0.949 & 0.00367547827804189 & 2.38285100604651e-06 \tabularnewline
0.95 & 0.00367576590830453 & 2.83270889293151e-06 \tabularnewline
0.951 & 0.00367610545725632 & 3.34649745705754e-06 \tabularnewline
0.952 & 0.00367650389220045 & 3.92713569462802e-06 \tabularnewline
0.953 & 0.00367696837535255 & 4.57617191450181e-06 \tabularnewline
0.954 & 0.00367750614472908 & 5.29332094633415e-06 \tabularnewline
0.955 & 0.00367812438784876 & 6.0751315715477e-06 \tabularnewline
0.956 & 0.00367883012883932 & 6.9175359647784e-06 \tabularnewline
0.957 & 0.00367963016212179 & 7.81335199492479e-06 \tabularnewline
0.958 & 0.00368053108373343 & 8.75249610694844e-06 \tabularnewline
0.959 & 0.00368153949666942 & 9.72754416550941e-06 \tabularnewline
0.96 & 0.00368266250231489 & 1.07244024307701e-05 \tabularnewline
0.961 & 0.00368390864010958 & 1.17343609768947e-05 \tabularnewline
0.962 & 0.00368528950733892 & 1.2751026710151e-05 \tabularnewline
0.963 & 0.00368682238714596 & 1.37742435825347e-05 \tabularnewline
0.964 & 0.00368853434371843 & 1.4820992145714e-05 \tabularnewline
0.965 & 0.00369046841838491 & 1.59335777337474e-05 \tabularnewline
0.966 & 0.00369269278831504 & 1.71958917611883e-05 \tabularnewline
0.967 & 0.00369531403782874 & 1.87661035699442e-05 \tabularnewline
0.968 & 0.00369849604242063 & 2.09173389329696e-05 \tabularnewline
0.969 & 0.00370248636749851 & 2.40982622653454e-05 \tabularnewline
0.97 & 0.00370765250779118 & 2.89863736144428e-05 \tabularnewline
0.971 & 0.00371453067890226 & 3.65385469216014e-05 \tabularnewline
0.972 & 0.00372389011501125 & 4.80316231257594e-05 \tabularnewline
0.973 & 0.00373681576382932 & 6.51416804075202e-05 \tabularnewline
0.974 & 0.00375481167077514 & 9.00551851518113e-05 \tabularnewline
0.975 & 0.00377992590891923 & 0.000125623534676198 \tabularnewline
0.976 & 0.00381489528914281 & 0.000175502834254308 \tabularnewline
0.977 & 0.00386330392685427 & 0.000244267913066471 \tabularnewline
0.978 & 0.00392974379806071 & 0.000337448077232308 \tabularnewline
0.979 & 0.00401995769726496 & 0.000461461536288174 \tabularnewline
0.98 & 0.00414093599899073 & 0.0006233654817049 \tabularnewline
0.981 & 0.00430092954888009 & 0.000830358961471457 \tabularnewline
0.982 & 0.0045093340769379 & 0.00108898586505262 \tabularnewline
0.983 & 0.00477640003779511 & 0.00140395073404002 \tabularnewline
0.984 & 0.00511272994114384 & 0.00177660114746345 \tabularnewline
0.985 & 0.0055285473883432 & 0.00220312150502279 \tabularnewline
0.986 & 0.00603276112727554 & 0.00267269565371921 \tabularnewline
0.987 & 0.006631902539399 & 0.00316600992038549 \tabularnewline
0.988 & 0.00732907802398623 & 0.00365464306970515 \tabularnewline
0.989 & 0.00812313043941711 & 0.00410200369789696 \tabularnewline
0.99 & 0.00900821640972167 & 0.0044664909132613 \tabularnewline
0.991 & 0.00997394184721423 & 0.00470733865975163 \tabularnewline
0.992 & 0.0110060252835407 & 0.00479315350849758 \tabularnewline
0.993 & 0.0120871779271301 & 0.00471255260600559 \tabularnewline
0.994 & 0.0131975695125201 & 0.00448530557625774 \tabularnewline
0.995 & 0.014314062329373 & 0.00417092645967573 \tabularnewline
0.996 & 0.0154076211416957 & 0.00386739431896177 \tabularnewline
0.997 & 0.0164392487848917 & 0.00368480192077762 \tabularnewline
0.998 & 0.0173565679910582 & 0.00368501930538215 \tabularnewline
0.999 & 0.0180953240280056 & 0.00383176682323003 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=97864&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.9[/C][C]0.00361088605109016[/C][C]0.000112914878395013[/C][/ROW]
[ROW][C]0.901[/C][C]0.00361721029934694[/C][C]0.000102073767615348[/C][/ROW]
[ROW][C]0.902[/C][C]0.00362295488561282[/C][C]9.22580245312737e-05[/C][/ROW]
[ROW][C]0.903[/C][C]0.00362817098813608[/C][C]8.33750367511461e-05[/C][/ROW]
[ROW][C]0.904[/C][C]0.00363290547128387[/C][C]7.53431905409736e-05[/C][/ROW]
[ROW][C]0.905[/C][C]0.00363720111375224[/C][C]6.80773198521852e-05[/C][/ROW]
[ROW][C]0.906[/C][C]0.0036410968632432[/C][C]6.15043725959307e-05[/C][/ROW]
[ROW][C]0.907[/C][C]0.00364462810860226[/C][C]5.55561993074728e-05[/C][/ROW]
[ROW][C]0.908[/C][C]0.0036478269611796[/C][C]5.01656762337276e-05[/C][/ROW]
[ROW][C]0.909[/C][C]0.0036507225380711[/C][C]4.52766806525603e-05[/C][/ROW]
[ROW][C]0.91[/C][C]0.00365334124087523[/C][C]4.08381093100559e-05[/C][/ROW]
[ROW][C]0.911[/C][C]0.00365570702463037[/C][C]3.68029606962031e-05[/C][/ROW]
[ROW][C]0.912[/C][C]0.00365784165264023[/C][C]3.31310178429001e-05[/C][/ROW]
[ROW][C]0.913[/C][C]0.0036597649339206[/C][C]2.97868031572081e-05[/C][/ROW]
[ROW][C]0.914[/C][C]0.00366149494098098[/C][C]2.6736440477488e-05[/C][/ROW]
[ROW][C]0.915[/C][C]0.00366304820656592[/C][C]2.39572952845522e-05[/C][/ROW]
[ROW][C]0.916[/C][C]0.00366443989880407[/C][C]2.14223417670781e-05[/C][/ROW]
[ROW][C]0.917[/C][C]0.0036656839749346[/C][C]1.91118601711768e-05[/C][/ROW]
[ROW][C]0.918[/C][C]0.00366679331439176[/C][C]1.70071316496816e-05[/C][/ROW]
[ROW][C]0.919[/C][C]0.00366777983252395[/C][C]1.5091383634802e-05[/C][/ROW]
[ROW][C]0.92[/C][C]0.00366865457660545[/C][C]1.33507135879906e-05[/C][/ROW]
[ROW][C]0.921[/C][C]0.00366942780606982[/C][C]1.177416373226e-05[/C][/ROW]
[ROW][C]0.922[/C][C]0.00367010905906195[/C][C]1.03471341560068e-05[/C][/ROW]
[ROW][C]0.923[/C][C]0.00367070720748172[/C][C]9.05945340691943e-06[/C][/ROW]
[ROW][C]0.924[/C][C]0.00367123050268709[/C][C]7.90292740480585e-06[/C][/ROW]
[ROW][C]0.925[/C][C]0.00367168661395351[/C][C]6.867296688426e-06[/C][/ROW]
[ROW][C]0.926[/C][C]0.00367208266166267[/C][C]5.94175879164007e-06[/C][/ROW]
[ROW][C]0.927[/C][C]0.00367242524703102[/C][C]5.12010587757858e-06[/C][/ROW]
[ROW][C]0.928[/C][C]0.00367272048000148[/C][C]4.39250787514219e-06[/C][/ROW]
[ROW][C]0.929[/C][C]0.00367297400672025[/C][C]3.75320231965436e-06[/C][/ROW]
[ROW][C]0.93[/C][C]0.00367319103781672[/C][C]3.19159673848782e-06[/C][/ROW]
[ROW][C]0.931[/C][C]0.00367337637850426[/C][C]2.70491338790123e-06[/C][/ROW]
[ROW][C]0.932[/C][C]0.00367353446132878[/C][C]2.28256133491599e-06[/C][/ROW]
[ROW][C]0.933[/C][C]0.00367366938221293[/C][C]1.92026955073391e-06[/C][/ROW]
[ROW][C]0.934[/C][C]0.00367378494027538[/C][C]1.61355440688002e-06[/C][/ROW]
[ROW][C]0.935[/C][C]0.00367388468174343[/C][C]1.35478959584117e-06[/C][/ROW]
[ROW][C]0.936[/C][C]0.00367397194811762[/C][C]1.14358429722486e-06[/C][/ROW]
[ROW][C]0.937[/C][C]0.00367404992857945[/C][C]9.73519354273788e-07[/C][/ROW]
[ROW][C]0.938[/C][C]0.00367412171644942[/C][C]8.45607516207467e-07[/C][/ROW]
[ROW][C]0.939[/C][C]0.00367419036929001[/C][C]7.57604490128501e-07[/C][/ROW]
[ROW][C]0.94[/C][C]0.00367425897199817[/C][C]7.1362611347888e-07[/C][/ROW]
[ROW][C]0.941[/C][C]0.00367433070193481[/C][C]7.12984247756795e-07[/C][/ROW]
[ROW][C]0.942[/C][C]0.00367440889479083[/C][C]7.58891355641184e-07[/C][/ROW]
[ROW][C]0.943[/C][C]0.00367449710949042[/C][C]8.48556554277288e-07[/C][/ROW]
[ROW][C]0.944[/C][C]0.00367459918999298[/C][C]9.82477782723653e-07[/C][/ROW]
[ROW][C]0.945[/C][C]0.00367471932139275[/C][C]1.16290534667601e-06[/C][/ROW]
[ROW][C]0.946[/C][C]0.00367486207726569[/C][C]1.38933818518785e-06[/C][/ROW]
[ROW][C]0.947[/C][C]0.00367503245482457[/C][C]1.66607756503923e-06[/C][/ROW]
[ROW][C]0.948[/C][C]0.00367523589418792[/C][C]1.99628909409834e-06[/C][/ROW]
[ROW][C]0.949[/C][C]0.00367547827804189[/C][C]2.38285100604651e-06[/C][/ROW]
[ROW][C]0.95[/C][C]0.00367576590830453[/C][C]2.83270889293151e-06[/C][/ROW]
[ROW][C]0.951[/C][C]0.00367610545725632[/C][C]3.34649745705754e-06[/C][/ROW]
[ROW][C]0.952[/C][C]0.00367650389220045[/C][C]3.92713569462802e-06[/C][/ROW]
[ROW][C]0.953[/C][C]0.00367696837535255[/C][C]4.57617191450181e-06[/C][/ROW]
[ROW][C]0.954[/C][C]0.00367750614472908[/C][C]5.29332094633415e-06[/C][/ROW]
[ROW][C]0.955[/C][C]0.00367812438784876[/C][C]6.0751315715477e-06[/C][/ROW]
[ROW][C]0.956[/C][C]0.00367883012883932[/C][C]6.9175359647784e-06[/C][/ROW]
[ROW][C]0.957[/C][C]0.00367963016212179[/C][C]7.81335199492479e-06[/C][/ROW]
[ROW][C]0.958[/C][C]0.00368053108373343[/C][C]8.75249610694844e-06[/C][/ROW]
[ROW][C]0.959[/C][C]0.00368153949666942[/C][C]9.72754416550941e-06[/C][/ROW]
[ROW][C]0.96[/C][C]0.00368266250231489[/C][C]1.07244024307701e-05[/C][/ROW]
[ROW][C]0.961[/C][C]0.00368390864010958[/C][C]1.17343609768947e-05[/C][/ROW]
[ROW][C]0.962[/C][C]0.00368528950733892[/C][C]1.2751026710151e-05[/C][/ROW]
[ROW][C]0.963[/C][C]0.00368682238714596[/C][C]1.37742435825347e-05[/C][/ROW]
[ROW][C]0.964[/C][C]0.00368853434371843[/C][C]1.4820992145714e-05[/C][/ROW]
[ROW][C]0.965[/C][C]0.00369046841838491[/C][C]1.59335777337474e-05[/C][/ROW]
[ROW][C]0.966[/C][C]0.00369269278831504[/C][C]1.71958917611883e-05[/C][/ROW]
[ROW][C]0.967[/C][C]0.00369531403782874[/C][C]1.87661035699442e-05[/C][/ROW]
[ROW][C]0.968[/C][C]0.00369849604242063[/C][C]2.09173389329696e-05[/C][/ROW]
[ROW][C]0.969[/C][C]0.00370248636749851[/C][C]2.40982622653454e-05[/C][/ROW]
[ROW][C]0.97[/C][C]0.00370765250779118[/C][C]2.89863736144428e-05[/C][/ROW]
[ROW][C]0.971[/C][C]0.00371453067890226[/C][C]3.65385469216014e-05[/C][/ROW]
[ROW][C]0.972[/C][C]0.00372389011501125[/C][C]4.80316231257594e-05[/C][/ROW]
[ROW][C]0.973[/C][C]0.00373681576382932[/C][C]6.51416804075202e-05[/C][/ROW]
[ROW][C]0.974[/C][C]0.00375481167077514[/C][C]9.00551851518113e-05[/C][/ROW]
[ROW][C]0.975[/C][C]0.00377992590891923[/C][C]0.000125623534676198[/C][/ROW]
[ROW][C]0.976[/C][C]0.00381489528914281[/C][C]0.000175502834254308[/C][/ROW]
[ROW][C]0.977[/C][C]0.00386330392685427[/C][C]0.000244267913066471[/C][/ROW]
[ROW][C]0.978[/C][C]0.00392974379806071[/C][C]0.000337448077232308[/C][/ROW]
[ROW][C]0.979[/C][C]0.00401995769726496[/C][C]0.000461461536288174[/C][/ROW]
[ROW][C]0.98[/C][C]0.00414093599899073[/C][C]0.0006233654817049[/C][/ROW]
[ROW][C]0.981[/C][C]0.00430092954888009[/C][C]0.000830358961471457[/C][/ROW]
[ROW][C]0.982[/C][C]0.0045093340769379[/C][C]0.00108898586505262[/C][/ROW]
[ROW][C]0.983[/C][C]0.00477640003779511[/C][C]0.00140395073404002[/C][/ROW]
[ROW][C]0.984[/C][C]0.00511272994114384[/C][C]0.00177660114746345[/C][/ROW]
[ROW][C]0.985[/C][C]0.0055285473883432[/C][C]0.00220312150502279[/C][/ROW]
[ROW][C]0.986[/C][C]0.00603276112727554[/C][C]0.00267269565371921[/C][/ROW]
[ROW][C]0.987[/C][C]0.006631902539399[/C][C]0.00316600992038549[/C][/ROW]
[ROW][C]0.988[/C][C]0.00732907802398623[/C][C]0.00365464306970515[/C][/ROW]
[ROW][C]0.989[/C][C]0.00812313043941711[/C][C]0.00410200369789696[/C][/ROW]
[ROW][C]0.99[/C][C]0.00900821640972167[/C][C]0.0044664909132613[/C][/ROW]
[ROW][C]0.991[/C][C]0.00997394184721423[/C][C]0.00470733865975163[/C][/ROW]
[ROW][C]0.992[/C][C]0.0110060252835407[/C][C]0.00479315350849758[/C][/ROW]
[ROW][C]0.993[/C][C]0.0120871779271301[/C][C]0.00471255260600559[/C][/ROW]
[ROW][C]0.994[/C][C]0.0131975695125201[/C][C]0.00448530557625774[/C][/ROW]
[ROW][C]0.995[/C][C]0.014314062329373[/C][C]0.00417092645967573[/C][/ROW]
[ROW][C]0.996[/C][C]0.0154076211416957[/C][C]0.00386739431896177[/C][/ROW]
[ROW][C]0.997[/C][C]0.0164392487848917[/C][C]0.00368480192077762[/C][/ROW]
[ROW][C]0.998[/C][C]0.0173565679910582[/C][C]0.00368501930538215[/C][/ROW]
[ROW][C]0.999[/C][C]0.0180953240280056[/C][C]0.00383176682323003[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=97864&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=97864&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
0.90.003610886051090160.000112914878395013
0.9010.003617210299346940.000102073767615348
0.9020.003622954885612829.22580245312737e-05
0.9030.003628170988136088.33750367511461e-05
0.9040.003632905471283877.53431905409736e-05
0.9050.003637201113752246.80773198521852e-05
0.9060.00364109686324326.15043725959307e-05
0.9070.003644628108602265.55561993074728e-05
0.9080.00364782696117965.01656762337276e-05
0.9090.00365072253807114.52766806525603e-05
0.910.003653341240875234.08381093100559e-05
0.9110.003655707024630373.68029606962031e-05
0.9120.003657841652640233.31310178429001e-05
0.9130.00365976493392062.97868031572081e-05
0.9140.003661494940980982.6736440477488e-05
0.9150.003663048206565922.39572952845522e-05
0.9160.003664439898804072.14223417670781e-05
0.9170.00366568397493461.91118601711768e-05
0.9180.003666793314391761.70071316496816e-05
0.9190.003667779832523951.5091383634802e-05
0.920.003668654576605451.33507135879906e-05
0.9210.003669427806069821.177416373226e-05
0.9220.003670109059061951.03471341560068e-05
0.9230.003670707207481729.05945340691943e-06
0.9240.003671230502687097.90292740480585e-06
0.9250.003671686613953516.867296688426e-06
0.9260.003672082661662675.94175879164007e-06
0.9270.003672425247031025.12010587757858e-06
0.9280.003672720480001484.39250787514219e-06
0.9290.003672974006720253.75320231965436e-06
0.930.003673191037816723.19159673848782e-06
0.9310.003673376378504262.70491338790123e-06
0.9320.003673534461328782.28256133491599e-06
0.9330.003673669382212931.92026955073391e-06
0.9340.003673784940275381.61355440688002e-06
0.9350.003673884681743431.35478959584117e-06
0.9360.003673971948117621.14358429722486e-06
0.9370.003674049928579459.73519354273788e-07
0.9380.003674121716449428.45607516207467e-07
0.9390.003674190369290017.57604490128501e-07
0.940.003674258971998177.1362611347888e-07
0.9410.003674330701934817.12984247756795e-07
0.9420.003674408894790837.58891355641184e-07
0.9430.003674497109490428.48556554277288e-07
0.9440.003674599189992989.82477782723653e-07
0.9450.003674719321392751.16290534667601e-06
0.9460.003674862077265691.38933818518785e-06
0.9470.003675032454824571.66607756503923e-06
0.9480.003675235894187921.99628909409834e-06
0.9490.003675478278041892.38285100604651e-06
0.950.003675765908304532.83270889293151e-06
0.9510.003676105457256323.34649745705754e-06
0.9520.003676503892200453.92713569462802e-06
0.9530.003676968375352554.57617191450181e-06
0.9540.003677506144729085.29332094633415e-06
0.9550.003678124387848766.0751315715477e-06
0.9560.003678830128839326.9175359647784e-06
0.9570.003679630162121797.81335199492479e-06
0.9580.003680531083733438.75249610694844e-06
0.9590.003681539496669429.72754416550941e-06
0.960.003682662502314891.07244024307701e-05
0.9610.003683908640109581.17343609768947e-05
0.9620.003685289507338921.2751026710151e-05
0.9630.003686822387145961.37742435825347e-05
0.9640.003688534343718431.4820992145714e-05
0.9650.003690468418384911.59335777337474e-05
0.9660.003692692788315041.71958917611883e-05
0.9670.003695314037828741.87661035699442e-05
0.9680.003698496042420632.09173389329696e-05
0.9690.003702486367498512.40982622653454e-05
0.970.003707652507791182.89863736144428e-05
0.9710.003714530678902263.65385469216014e-05
0.9720.003723890115011254.80316231257594e-05
0.9730.003736815763829326.51416804075202e-05
0.9740.003754811670775149.00551851518113e-05
0.9750.003779925908919230.000125623534676198
0.9760.003814895289142810.000175502834254308
0.9770.003863303926854270.000244267913066471
0.9780.003929743798060710.000337448077232308
0.9790.004019957697264960.000461461536288174
0.980.004140935998990730.0006233654817049
0.9810.004300929548880090.000830358961471457
0.9820.00450933407693790.00108898586505262
0.9830.004776400037795110.00140395073404002
0.9840.005112729941143840.00177660114746345
0.9850.00552854738834320.00220312150502279
0.9860.006032761127275540.00267269565371921
0.9870.0066319025393990.00316600992038549
0.9880.007329078023986230.00365464306970515
0.9890.008123130439417110.00410200369789696
0.990.009008216409721670.0044664909132613
0.9910.009973941847214230.00470733865975163
0.9920.01100602528354070.00479315350849758
0.9930.01208717792713010.00471255260600559
0.9940.01319756951252010.00448530557625774
0.9950.0143140623293730.00417092645967573
0.9960.01540762114169570.00386739431896177
0.9970.01643924878489170.00368480192077762
0.9980.01735656799105820.00368501930538215
0.9990.01809532402800560.00383176682323003


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.90 ; par2 = 0.999 ; par3 = 0.001 ;
Parameters (R input):
par1 = 0.90 ; par2 = 0.999 ; par3 = 0.001 ;
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')