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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 16:02:21 +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/t1290182443l2ss40yrm6m0du3.htm/, Retrieved Mon, 20 May 2024 03:48:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=98042, Retrieved Mon, 20 May 2024 03:48:30 +0000
QR Codes:

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

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Harrell-Davis Quantiles] [] [2010-11-19 16:02:21] [1bb61589b71a2dccde96f07234cd79aa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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Tables (Output of Computation)





Summary of computational 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 computational 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=98042&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]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=98042&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=98042&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.001-0.00385163528977041.92898824018159e-06
0.002-0.003850851149431594.84173563883374e-06
0.003-0.003849643742819818.76261897850163e-06
0.004-0.003847928230771481.36463028176971e-05
0.005-0.003845628320891911.93889751149409e-05
0.006-0.003842680250060562.58371353304557e-05
0.007-0.003839035852127623.28058521440525e-05
0.008-0.003834664584283744.00908330882715e-05
0.009-0.003829554487140574.74886066192134e-05
0.01-0.003823712139824185.48009277211491e-05
0.011-0.003817161736761396.18503152164329e-05
0.012-0.003809943455214646.84815312883717e-05
0.013-0.003802111302787537.45704957641753e-05
0.014-0.003793730634996738.0018497842039e-05
0.015-0.003784875518797088.47537366884458e-05
0.016-0.00377562609337518.87305258756564e-05
0.017-0.003766066049189599.19215715024869e-05
0.018-0.003756280314152539.4322784797409e-05
0.019-0.003746353005171049.59386773337934e-05
0.02-0.003736365676214829.6791002088726e-05
0.021-0.003726395871906559.69106232208144e-05
0.022-0.003716515978819129.63359605647362e-05
0.023-0.003706792355036469.51121857428754e-05
0.024-0.00369728471148989.32923595290723e-05
0.025-0.003688045715263559.09314441303823e-05
0.026-0.003679120784531338.80901181960879e-05
0.027-0.003670548046121078.48332181722395e-05
0.028-0.003662358429127388.12252043545443e-05
0.029-0.00365457587085867.73328207029926e-05
0.03-0.003647217614277467.32229255276056e-05
0.031-0.003640294578686746.89600416884463e-05
0.032-0.003633811787591776.4607533232916e-05
0.033-0.003627768839417996.0224638599426e-05
0.034-0.003622160408128125.58682677061555e-05
0.035-0.003616976761869755.15892344295219e-05
0.036-0.003612204288701594.74329381364795e-05
0.037-0.003607826019304854.34411798504138e-05
0.038-0.003603822137471883.9648833104242e-05
0.039-0.003600170470135933.60889256237329e-05
0.04-0.003596846949796123.27857457654484e-05
0.041-0.003593826043399242.97642894333835e-05
0.042-0.003591081143047122.70455806994467e-05
0.043-0.003588584915265572.46497906953595e-05
0.044-0.003586309606952222.25992098753985e-05
0.045-0.003584227307465812.09174879899400e-05
0.046-0.00358231016757911.96231404561810e-05
0.047-0.003580530577150441.87481886921049e-05
0.048-0.003578861304340941.83073002742074e-05
0.049-0.003577275599992481.83110803021411e-05
0.05-0.003575747271373641.87598722699379e-05
0.051-0.00357425072989451.96477340159242e-05
0.052-0.003572761017592822.0951678130016e-05
0.053-0.00357125381721822.26475734566828e-05
0.054-0.003569705450606252.4722057893481e-05
0.055-0.00356809286976492.71578908350365e-05
0.056-0.003566393644714562.99455205850295e-05
0.057-0.003564585951658553.30754936601286e-05
0.058-0.003562648564534913.6542559264656e-05
0.059-0.003560560852438094.03442237837339e-05
0.06-0.003558302784820764.44770202427064e-05
0.061-0.003555854945809294.89385869377148e-05
0.062-0.003553198558407925.3725244399084e-05
0.063-0.003550315518837865.88288494038827e-05
0.064-0.003547188440769026.42421982918243e-05
0.065-0.003543800708761416.99591817836214e-05
0.066-0.003540136539845137.5964108342267e-05
0.067-0.003536181051836628.22458100826505e-05
0.068-0.003531920336715378.878741815523e-05
0.069-0.003527341537170919.55727199634786e-05
0.07-0.003522432924273570.000102577858955611
0.071-0.003517183974122480.000109781559426852
0.072-0.003511585441279490.000117162754474381
0.073-0.003505629426803680.000124688727291747
0.074-0.003499309438756250.000132332462873130
0.075-0.003492620443145080.000140065276051151
0.076-0.003485558903418870.000147857735044932
0.077-0.003478122806797370.00015567867399738
0.078-0.003470311675933680.000163491359068186
0.079-0.003462126564640740.000171270723318301
0.08-0.003453570036673080.000178981293250386
0.081-0.00344464612683170.000186593494202811
0.082-0.003435360283948840.000194078895130763
0.083-0.003425719295606580.000201409172147918
0.084-0.003415731194742410.000208559960651525
0.085-0.003405405148592460.000215509042746056
0.086-0.003394751330713690.000222234921572225
0.087-0.003383780777105270.000228720670085228
0.088-0.003372505227713720.000234953180086481
0.089-0.003360936954850520.000240927472269872
0.09-0.00334908858027330.000246636016408959
0.091-0.003336972882877780.000252079677041453
0.092-0.003324602599115870.000257261923097918
0.093-0.00331199021839360.000262194812019992
0.094-0.003299147775808490.000266891126051380
0.095-0.003286086644660040.000271372488111765
0.096-0.003272817331207210.000275662071342859
0.097-0.003259349274154340.000279796444291631
0.098-0.003245690651321350.000283804790589056
0.099-0.003231848195897480.000287732265324776
0.1-0.003217827024589960.000291623536157588

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.001 & -0.0038516352897704 & 1.92898824018159e-06 \tabularnewline
0.002 & -0.00385085114943159 & 4.84173563883374e-06 \tabularnewline
0.003 & -0.00384964374281981 & 8.76261897850163e-06 \tabularnewline
0.004 & -0.00384792823077148 & 1.36463028176971e-05 \tabularnewline
0.005 & -0.00384562832089191 & 1.93889751149409e-05 \tabularnewline
0.006 & -0.00384268025006056 & 2.58371353304557e-05 \tabularnewline
0.007 & -0.00383903585212762 & 3.28058521440525e-05 \tabularnewline
0.008 & -0.00383466458428374 & 4.00908330882715e-05 \tabularnewline
0.009 & -0.00382955448714057 & 4.74886066192134e-05 \tabularnewline
0.01 & -0.00382371213982418 & 5.48009277211491e-05 \tabularnewline
0.011 & -0.00381716173676139 & 6.18503152164329e-05 \tabularnewline
0.012 & -0.00380994345521464 & 6.84815312883717e-05 \tabularnewline
0.013 & -0.00380211130278753 & 7.45704957641753e-05 \tabularnewline
0.014 & -0.00379373063499673 & 8.0018497842039e-05 \tabularnewline
0.015 & -0.00378487551879708 & 8.47537366884458e-05 \tabularnewline
0.016 & -0.0037756260933751 & 8.87305258756564e-05 \tabularnewline
0.017 & -0.00376606604918959 & 9.19215715024869e-05 \tabularnewline
0.018 & -0.00375628031415253 & 9.4322784797409e-05 \tabularnewline
0.019 & -0.00374635300517104 & 9.59386773337934e-05 \tabularnewline
0.02 & -0.00373636567621482 & 9.6791002088726e-05 \tabularnewline
0.021 & -0.00372639587190655 & 9.69106232208144e-05 \tabularnewline
0.022 & -0.00371651597881912 & 9.63359605647362e-05 \tabularnewline
0.023 & -0.00370679235503646 & 9.51121857428754e-05 \tabularnewline
0.024 & -0.0036972847114898 & 9.32923595290723e-05 \tabularnewline
0.025 & -0.00368804571526355 & 9.09314441303823e-05 \tabularnewline
0.026 & -0.00367912078453133 & 8.80901181960879e-05 \tabularnewline
0.027 & -0.00367054804612107 & 8.48332181722395e-05 \tabularnewline
0.028 & -0.00366235842912738 & 8.12252043545443e-05 \tabularnewline
0.029 & -0.0036545758708586 & 7.73328207029926e-05 \tabularnewline
0.03 & -0.00364721761427746 & 7.32229255276056e-05 \tabularnewline
0.031 & -0.00364029457868674 & 6.89600416884463e-05 \tabularnewline
0.032 & -0.00363381178759177 & 6.4607533232916e-05 \tabularnewline
0.033 & -0.00362776883941799 & 6.0224638599426e-05 \tabularnewline
0.034 & -0.00362216040812812 & 5.58682677061555e-05 \tabularnewline
0.035 & -0.00361697676186975 & 5.15892344295219e-05 \tabularnewline
0.036 & -0.00361220428870159 & 4.74329381364795e-05 \tabularnewline
0.037 & -0.00360782601930485 & 4.34411798504138e-05 \tabularnewline
0.038 & -0.00360382213747188 & 3.9648833104242e-05 \tabularnewline
0.039 & -0.00360017047013593 & 3.60889256237329e-05 \tabularnewline
0.04 & -0.00359684694979612 & 3.27857457654484e-05 \tabularnewline
0.041 & -0.00359382604339924 & 2.97642894333835e-05 \tabularnewline
0.042 & -0.00359108114304712 & 2.70455806994467e-05 \tabularnewline
0.043 & -0.00358858491526557 & 2.46497906953595e-05 \tabularnewline
0.044 & -0.00358630960695222 & 2.25992098753985e-05 \tabularnewline
0.045 & -0.00358422730746581 & 2.09174879899400e-05 \tabularnewline
0.046 & -0.0035823101675791 & 1.96231404561810e-05 \tabularnewline
0.047 & -0.00358053057715044 & 1.87481886921049e-05 \tabularnewline
0.048 & -0.00357886130434094 & 1.83073002742074e-05 \tabularnewline
0.049 & -0.00357727559999248 & 1.83110803021411e-05 \tabularnewline
0.05 & -0.00357574727137364 & 1.87598722699379e-05 \tabularnewline
0.051 & -0.0035742507298945 & 1.96477340159242e-05 \tabularnewline
0.052 & -0.00357276101759282 & 2.0951678130016e-05 \tabularnewline
0.053 & -0.0035712538172182 & 2.26475734566828e-05 \tabularnewline
0.054 & -0.00356970545060625 & 2.4722057893481e-05 \tabularnewline
0.055 & -0.0035680928697649 & 2.71578908350365e-05 \tabularnewline
0.056 & -0.00356639364471456 & 2.99455205850295e-05 \tabularnewline
0.057 & -0.00356458595165855 & 3.30754936601286e-05 \tabularnewline
0.058 & -0.00356264856453491 & 3.6542559264656e-05 \tabularnewline
0.059 & -0.00356056085243809 & 4.03442237837339e-05 \tabularnewline
0.06 & -0.00355830278482076 & 4.44770202427064e-05 \tabularnewline
0.061 & -0.00355585494580929 & 4.89385869377148e-05 \tabularnewline
0.062 & -0.00355319855840792 & 5.3725244399084e-05 \tabularnewline
0.063 & -0.00355031551883786 & 5.88288494038827e-05 \tabularnewline
0.064 & -0.00354718844076902 & 6.42421982918243e-05 \tabularnewline
0.065 & -0.00354380070876141 & 6.99591817836214e-05 \tabularnewline
0.066 & -0.00354013653984513 & 7.5964108342267e-05 \tabularnewline
0.067 & -0.00353618105183662 & 8.22458100826505e-05 \tabularnewline
0.068 & -0.00353192033671537 & 8.878741815523e-05 \tabularnewline
0.069 & -0.00352734153717091 & 9.55727199634786e-05 \tabularnewline
0.07 & -0.00352243292427357 & 0.000102577858955611 \tabularnewline
0.071 & -0.00351718397412248 & 0.000109781559426852 \tabularnewline
0.072 & -0.00351158544127949 & 0.000117162754474381 \tabularnewline
0.073 & -0.00350562942680368 & 0.000124688727291747 \tabularnewline
0.074 & -0.00349930943875625 & 0.000132332462873130 \tabularnewline
0.075 & -0.00349262044314508 & 0.000140065276051151 \tabularnewline
0.076 & -0.00348555890341887 & 0.000147857735044932 \tabularnewline
0.077 & -0.00347812280679737 & 0.00015567867399738 \tabularnewline
0.078 & -0.00347031167593368 & 0.000163491359068186 \tabularnewline
0.079 & -0.00346212656464074 & 0.000171270723318301 \tabularnewline
0.08 & -0.00345357003667308 & 0.000178981293250386 \tabularnewline
0.081 & -0.0034446461268317 & 0.000186593494202811 \tabularnewline
0.082 & -0.00343536028394884 & 0.000194078895130763 \tabularnewline
0.083 & -0.00342571929560658 & 0.000201409172147918 \tabularnewline
0.084 & -0.00341573119474241 & 0.000208559960651525 \tabularnewline
0.085 & -0.00340540514859246 & 0.000215509042746056 \tabularnewline
0.086 & -0.00339475133071369 & 0.000222234921572225 \tabularnewline
0.087 & -0.00338378077710527 & 0.000228720670085228 \tabularnewline
0.088 & -0.00337250522771372 & 0.000234953180086481 \tabularnewline
0.089 & -0.00336093695485052 & 0.000240927472269872 \tabularnewline
0.09 & -0.0033490885802733 & 0.000246636016408959 \tabularnewline
0.091 & -0.00333697288287778 & 0.000252079677041453 \tabularnewline
0.092 & -0.00332460259911587 & 0.000257261923097918 \tabularnewline
0.093 & -0.0033119902183936 & 0.000262194812019992 \tabularnewline
0.094 & -0.00329914777580849 & 0.000266891126051380 \tabularnewline
0.095 & -0.00328608664466004 & 0.000271372488111765 \tabularnewline
0.096 & -0.00327281733120721 & 0.000275662071342859 \tabularnewline
0.097 & -0.00325934927415434 & 0.000279796444291631 \tabularnewline
0.098 & -0.00324569065132135 & 0.000283804790589056 \tabularnewline
0.099 & -0.00323184819589748 & 0.000287732265324776 \tabularnewline
0.1 & -0.00321782702458996 & 0.000291623536157588 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=98042&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.001[/C][C]-0.0038516352897704[/C][C]1.92898824018159e-06[/C][/ROW]
[ROW][C]0.002[/C][C]-0.00385085114943159[/C][C]4.84173563883374e-06[/C][/ROW]
[ROW][C]0.003[/C][C]-0.00384964374281981[/C][C]8.76261897850163e-06[/C][/ROW]
[ROW][C]0.004[/C][C]-0.00384792823077148[/C][C]1.36463028176971e-05[/C][/ROW]
[ROW][C]0.005[/C][C]-0.00384562832089191[/C][C]1.93889751149409e-05[/C][/ROW]
[ROW][C]0.006[/C][C]-0.00384268025006056[/C][C]2.58371353304557e-05[/C][/ROW]
[ROW][C]0.007[/C][C]-0.00383903585212762[/C][C]3.28058521440525e-05[/C][/ROW]
[ROW][C]0.008[/C][C]-0.00383466458428374[/C][C]4.00908330882715e-05[/C][/ROW]
[ROW][C]0.009[/C][C]-0.00382955448714057[/C][C]4.74886066192134e-05[/C][/ROW]
[ROW][C]0.01[/C][C]-0.00382371213982418[/C][C]5.48009277211491e-05[/C][/ROW]
[ROW][C]0.011[/C][C]-0.00381716173676139[/C][C]6.18503152164329e-05[/C][/ROW]
[ROW][C]0.012[/C][C]-0.00380994345521464[/C][C]6.84815312883717e-05[/C][/ROW]
[ROW][C]0.013[/C][C]-0.00380211130278753[/C][C]7.45704957641753e-05[/C][/ROW]
[ROW][C]0.014[/C][C]-0.00379373063499673[/C][C]8.0018497842039e-05[/C][/ROW]
[ROW][C]0.015[/C][C]-0.00378487551879708[/C][C]8.47537366884458e-05[/C][/ROW]
[ROW][C]0.016[/C][C]-0.0037756260933751[/C][C]8.87305258756564e-05[/C][/ROW]
[ROW][C]0.017[/C][C]-0.00376606604918959[/C][C]9.19215715024869e-05[/C][/ROW]
[ROW][C]0.018[/C][C]-0.00375628031415253[/C][C]9.4322784797409e-05[/C][/ROW]
[ROW][C]0.019[/C][C]-0.00374635300517104[/C][C]9.59386773337934e-05[/C][/ROW]
[ROW][C]0.02[/C][C]-0.00373636567621482[/C][C]9.6791002088726e-05[/C][/ROW]
[ROW][C]0.021[/C][C]-0.00372639587190655[/C][C]9.69106232208144e-05[/C][/ROW]
[ROW][C]0.022[/C][C]-0.00371651597881912[/C][C]9.63359605647362e-05[/C][/ROW]
[ROW][C]0.023[/C][C]-0.00370679235503646[/C][C]9.51121857428754e-05[/C][/ROW]
[ROW][C]0.024[/C][C]-0.0036972847114898[/C][C]9.32923595290723e-05[/C][/ROW]
[ROW][C]0.025[/C][C]-0.00368804571526355[/C][C]9.09314441303823e-05[/C][/ROW]
[ROW][C]0.026[/C][C]-0.00367912078453133[/C][C]8.80901181960879e-05[/C][/ROW]
[ROW][C]0.027[/C][C]-0.00367054804612107[/C][C]8.48332181722395e-05[/C][/ROW]
[ROW][C]0.028[/C][C]-0.00366235842912738[/C][C]8.12252043545443e-05[/C][/ROW]
[ROW][C]0.029[/C][C]-0.0036545758708586[/C][C]7.73328207029926e-05[/C][/ROW]
[ROW][C]0.03[/C][C]-0.00364721761427746[/C][C]7.32229255276056e-05[/C][/ROW]
[ROW][C]0.031[/C][C]-0.00364029457868674[/C][C]6.89600416884463e-05[/C][/ROW]
[ROW][C]0.032[/C][C]-0.00363381178759177[/C][C]6.4607533232916e-05[/C][/ROW]
[ROW][C]0.033[/C][C]-0.00362776883941799[/C][C]6.0224638599426e-05[/C][/ROW]
[ROW][C]0.034[/C][C]-0.00362216040812812[/C][C]5.58682677061555e-05[/C][/ROW]
[ROW][C]0.035[/C][C]-0.00361697676186975[/C][C]5.15892344295219e-05[/C][/ROW]
[ROW][C]0.036[/C][C]-0.00361220428870159[/C][C]4.74329381364795e-05[/C][/ROW]
[ROW][C]0.037[/C][C]-0.00360782601930485[/C][C]4.34411798504138e-05[/C][/ROW]
[ROW][C]0.038[/C][C]-0.00360382213747188[/C][C]3.9648833104242e-05[/C][/ROW]
[ROW][C]0.039[/C][C]-0.00360017047013593[/C][C]3.60889256237329e-05[/C][/ROW]
[ROW][C]0.04[/C][C]-0.00359684694979612[/C][C]3.27857457654484e-05[/C][/ROW]
[ROW][C]0.041[/C][C]-0.00359382604339924[/C][C]2.97642894333835e-05[/C][/ROW]
[ROW][C]0.042[/C][C]-0.00359108114304712[/C][C]2.70455806994467e-05[/C][/ROW]
[ROW][C]0.043[/C][C]-0.00358858491526557[/C][C]2.46497906953595e-05[/C][/ROW]
[ROW][C]0.044[/C][C]-0.00358630960695222[/C][C]2.25992098753985e-05[/C][/ROW]
[ROW][C]0.045[/C][C]-0.00358422730746581[/C][C]2.09174879899400e-05[/C][/ROW]
[ROW][C]0.046[/C][C]-0.0035823101675791[/C][C]1.96231404561810e-05[/C][/ROW]
[ROW][C]0.047[/C][C]-0.00358053057715044[/C][C]1.87481886921049e-05[/C][/ROW]
[ROW][C]0.048[/C][C]-0.00357886130434094[/C][C]1.83073002742074e-05[/C][/ROW]
[ROW][C]0.049[/C][C]-0.00357727559999248[/C][C]1.83110803021411e-05[/C][/ROW]
[ROW][C]0.05[/C][C]-0.00357574727137364[/C][C]1.87598722699379e-05[/C][/ROW]
[ROW][C]0.051[/C][C]-0.0035742507298945[/C][C]1.96477340159242e-05[/C][/ROW]
[ROW][C]0.052[/C][C]-0.00357276101759282[/C][C]2.0951678130016e-05[/C][/ROW]
[ROW][C]0.053[/C][C]-0.0035712538172182[/C][C]2.26475734566828e-05[/C][/ROW]
[ROW][C]0.054[/C][C]-0.00356970545060625[/C][C]2.4722057893481e-05[/C][/ROW]
[ROW][C]0.055[/C][C]-0.0035680928697649[/C][C]2.71578908350365e-05[/C][/ROW]
[ROW][C]0.056[/C][C]-0.00356639364471456[/C][C]2.99455205850295e-05[/C][/ROW]
[ROW][C]0.057[/C][C]-0.00356458595165855[/C][C]3.30754936601286e-05[/C][/ROW]
[ROW][C]0.058[/C][C]-0.00356264856453491[/C][C]3.6542559264656e-05[/C][/ROW]
[ROW][C]0.059[/C][C]-0.00356056085243809[/C][C]4.03442237837339e-05[/C][/ROW]
[ROW][C]0.06[/C][C]-0.00355830278482076[/C][C]4.44770202427064e-05[/C][/ROW]
[ROW][C]0.061[/C][C]-0.00355585494580929[/C][C]4.89385869377148e-05[/C][/ROW]
[ROW][C]0.062[/C][C]-0.00355319855840792[/C][C]5.3725244399084e-05[/C][/ROW]
[ROW][C]0.063[/C][C]-0.00355031551883786[/C][C]5.88288494038827e-05[/C][/ROW]
[ROW][C]0.064[/C][C]-0.00354718844076902[/C][C]6.42421982918243e-05[/C][/ROW]
[ROW][C]0.065[/C][C]-0.00354380070876141[/C][C]6.99591817836214e-05[/C][/ROW]
[ROW][C]0.066[/C][C]-0.00354013653984513[/C][C]7.5964108342267e-05[/C][/ROW]
[ROW][C]0.067[/C][C]-0.00353618105183662[/C][C]8.22458100826505e-05[/C][/ROW]
[ROW][C]0.068[/C][C]-0.00353192033671537[/C][C]8.878741815523e-05[/C][/ROW]
[ROW][C]0.069[/C][C]-0.00352734153717091[/C][C]9.55727199634786e-05[/C][/ROW]
[ROW][C]0.07[/C][C]-0.00352243292427357[/C][C]0.000102577858955611[/C][/ROW]
[ROW][C]0.071[/C][C]-0.00351718397412248[/C][C]0.000109781559426852[/C][/ROW]
[ROW][C]0.072[/C][C]-0.00351158544127949[/C][C]0.000117162754474381[/C][/ROW]
[ROW][C]0.073[/C][C]-0.00350562942680368[/C][C]0.000124688727291747[/C][/ROW]
[ROW][C]0.074[/C][C]-0.00349930943875625[/C][C]0.000132332462873130[/C][/ROW]
[ROW][C]0.075[/C][C]-0.00349262044314508[/C][C]0.000140065276051151[/C][/ROW]
[ROW][C]0.076[/C][C]-0.00348555890341887[/C][C]0.000147857735044932[/C][/ROW]
[ROW][C]0.077[/C][C]-0.00347812280679737[/C][C]0.00015567867399738[/C][/ROW]
[ROW][C]0.078[/C][C]-0.00347031167593368[/C][C]0.000163491359068186[/C][/ROW]
[ROW][C]0.079[/C][C]-0.00346212656464074[/C][C]0.000171270723318301[/C][/ROW]
[ROW][C]0.08[/C][C]-0.00345357003667308[/C][C]0.000178981293250386[/C][/ROW]
[ROW][C]0.081[/C][C]-0.0034446461268317[/C][C]0.000186593494202811[/C][/ROW]
[ROW][C]0.082[/C][C]-0.00343536028394884[/C][C]0.000194078895130763[/C][/ROW]
[ROW][C]0.083[/C][C]-0.00342571929560658[/C][C]0.000201409172147918[/C][/ROW]
[ROW][C]0.084[/C][C]-0.00341573119474241[/C][C]0.000208559960651525[/C][/ROW]
[ROW][C]0.085[/C][C]-0.00340540514859246[/C][C]0.000215509042746056[/C][/ROW]
[ROW][C]0.086[/C][C]-0.00339475133071369[/C][C]0.000222234921572225[/C][/ROW]
[ROW][C]0.087[/C][C]-0.00338378077710527[/C][C]0.000228720670085228[/C][/ROW]
[ROW][C]0.088[/C][C]-0.00337250522771372[/C][C]0.000234953180086481[/C][/ROW]
[ROW][C]0.089[/C][C]-0.00336093695485052[/C][C]0.000240927472269872[/C][/ROW]
[ROW][C]0.09[/C][C]-0.0033490885802733[/C][C]0.000246636016408959[/C][/ROW]
[ROW][C]0.091[/C][C]-0.00333697288287778[/C][C]0.000252079677041453[/C][/ROW]
[ROW][C]0.092[/C][C]-0.00332460259911587[/C][C]0.000257261923097918[/C][/ROW]
[ROW][C]0.093[/C][C]-0.0033119902183936[/C][C]0.000262194812019992[/C][/ROW]
[ROW][C]0.094[/C][C]-0.00329914777580849[/C][C]0.000266891126051380[/C][/ROW]
[ROW][C]0.095[/C][C]-0.00328608664466004[/C][C]0.000271372488111765[/C][/ROW]
[ROW][C]0.096[/C][C]-0.00327281733120721[/C][C]0.000275662071342859[/C][/ROW]
[ROW][C]0.097[/C][C]-0.00325934927415434[/C][C]0.000279796444291631[/C][/ROW]
[ROW][C]0.098[/C][C]-0.00324569065132135[/C][C]0.000283804790589056[/C][/ROW]
[ROW][C]0.099[/C][C]-0.00323184819589748[/C][C]0.000287732265324776[/C][/ROW]
[ROW][C]0.1[/C][C]-0.00321782702458996[/C][C]0.000291623536157588[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=98042&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=98042&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
0.001-0.00385163528977041.92898824018159e-06
0.002-0.003850851149431594.84173563883374e-06
0.003-0.003849643742819818.76261897850163e-06
0.004-0.003847928230771481.36463028176971e-05
0.005-0.003845628320891911.93889751149409e-05
0.006-0.003842680250060562.58371353304557e-05
0.007-0.003839035852127623.28058521440525e-05
0.008-0.003834664584283744.00908330882715e-05
0.009-0.003829554487140574.74886066192134e-05
0.01-0.003823712139824185.48009277211491e-05
0.011-0.003817161736761396.18503152164329e-05
0.012-0.003809943455214646.84815312883717e-05
0.013-0.003802111302787537.45704957641753e-05
0.014-0.003793730634996738.0018497842039e-05
0.015-0.003784875518797088.47537366884458e-05
0.016-0.00377562609337518.87305258756564e-05
0.017-0.003766066049189599.19215715024869e-05
0.018-0.003756280314152539.4322784797409e-05
0.019-0.003746353005171049.59386773337934e-05
0.02-0.003736365676214829.6791002088726e-05
0.021-0.003726395871906559.69106232208144e-05
0.022-0.003716515978819129.63359605647362e-05
0.023-0.003706792355036469.51121857428754e-05
0.024-0.00369728471148989.32923595290723e-05
0.025-0.003688045715263559.09314441303823e-05
0.026-0.003679120784531338.80901181960879e-05
0.027-0.003670548046121078.48332181722395e-05
0.028-0.003662358429127388.12252043545443e-05
0.029-0.00365457587085867.73328207029926e-05
0.03-0.003647217614277467.32229255276056e-05
0.031-0.003640294578686746.89600416884463e-05
0.032-0.003633811787591776.4607533232916e-05
0.033-0.003627768839417996.0224638599426e-05
0.034-0.003622160408128125.58682677061555e-05
0.035-0.003616976761869755.15892344295219e-05
0.036-0.003612204288701594.74329381364795e-05
0.037-0.003607826019304854.34411798504138e-05
0.038-0.003603822137471883.9648833104242e-05
0.039-0.003600170470135933.60889256237329e-05
0.04-0.003596846949796123.27857457654484e-05
0.041-0.003593826043399242.97642894333835e-05
0.042-0.003591081143047122.70455806994467e-05
0.043-0.003588584915265572.46497906953595e-05
0.044-0.003586309606952222.25992098753985e-05
0.045-0.003584227307465812.09174879899400e-05
0.046-0.00358231016757911.96231404561810e-05
0.047-0.003580530577150441.87481886921049e-05
0.048-0.003578861304340941.83073002742074e-05
0.049-0.003577275599992481.83110803021411e-05
0.05-0.003575747271373641.87598722699379e-05
0.051-0.00357425072989451.96477340159242e-05
0.052-0.003572761017592822.0951678130016e-05
0.053-0.00357125381721822.26475734566828e-05
0.054-0.003569705450606252.4722057893481e-05
0.055-0.00356809286976492.71578908350365e-05
0.056-0.003566393644714562.99455205850295e-05
0.057-0.003564585951658553.30754936601286e-05
0.058-0.003562648564534913.6542559264656e-05
0.059-0.003560560852438094.03442237837339e-05
0.06-0.003558302784820764.44770202427064e-05
0.061-0.003555854945809294.89385869377148e-05
0.062-0.003553198558407925.3725244399084e-05
0.063-0.003550315518837865.88288494038827e-05
0.064-0.003547188440769026.42421982918243e-05
0.065-0.003543800708761416.99591817836214e-05
0.066-0.003540136539845137.5964108342267e-05
0.067-0.003536181051836628.22458100826505e-05
0.068-0.003531920336715378.878741815523e-05
0.069-0.003527341537170919.55727199634786e-05
0.07-0.003522432924273570.000102577858955611
0.071-0.003517183974122480.000109781559426852
0.072-0.003511585441279490.000117162754474381
0.073-0.003505629426803680.000124688727291747
0.074-0.003499309438756250.000132332462873130
0.075-0.003492620443145080.000140065276051151
0.076-0.003485558903418870.000147857735044932
0.077-0.003478122806797370.00015567867399738
0.078-0.003470311675933680.000163491359068186
0.079-0.003462126564640740.000171270723318301
0.08-0.003453570036673080.000178981293250386
0.081-0.00344464612683170.000186593494202811
0.082-0.003435360283948840.000194078895130763
0.083-0.003425719295606580.000201409172147918
0.084-0.003415731194742410.000208559960651525
0.085-0.003405405148592460.000215509042746056
0.086-0.003394751330713690.000222234921572225
0.087-0.003383780777105270.000228720670085228
0.088-0.003372505227713720.000234953180086481
0.089-0.003360936954850520.000240927472269872
0.09-0.00334908858027330.000246636016408959
0.091-0.003336972882877780.000252079677041453
0.092-0.003324602599115870.000257261923097918
0.093-0.00331199021839360.000262194812019992
0.094-0.003299147775808490.000266891126051380
0.095-0.003286086644660040.000271372488111765
0.096-0.003272817331207210.000275662071342859
0.097-0.003259349274154340.000279796444291631
0.098-0.003245690651321350.000283804790589056
0.099-0.003231848195897480.000287732265324776
0.1-0.003217827024589960.000291623536157588


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.001 ; par2 = 0.1 ; par3 = 0.001 ;
Parameters (R input):
par1 = 0.001 ; par2 = 0.1 ; 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')