FreeStatistics.org

Free Statistics

of Irreproducible Research!

Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationThu, 26 Feb 2015 10:28:24 +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/2015/Feb/26/t1424946553mgldun7aycevh23.htm/, Retrieved Sat, 18 May 2024 07:48:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277541, Retrieved Sat, 18 May 2024 07:48:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93

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] [Harrel Davis Perc...] [2015-02-26 10:28:24] [d7b65c9a7c286d706dc95a87d306e880] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2
2,2
2,2
2
2,3
2,6
3,2
3,2
3,1
2,8
2,3
1,9
1,9
2
2
1,8
1,6
1,4
0,2
0,3
0,4
0,7
1
1,1
0,8
0,8
1
1,1
1
0,8
1,6
1,5
1,6
1,6
1,6
1,9
2
1,9
2
2,1
2,3
2,3
2,6
2,6
2,7
2,6
2,6
2,4
2,5
2,5
2,5
2,4
2,1
2,1
2,3
2,3
2,3
2,9
2,8
2,9
3
3
2,9
2,6
2,8
2,9
3,1
2,8
2,4
1,6
1,5
1,7

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277541&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277541&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277541&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.010.2413214905515960.11379151655471
0.020.3147074833393660.153142341410691
0.030.4061026552965870.191857188756215
0.040.5028892941281270.20765389843708
0.050.5954988496607440.199107687643946
0.060.6780322438689350.17791304444409
0.070.748699852076420.157635409414647
0.080.8090396716977150.146427776978685
0.090.8622678429044130.145450658741797
0.10.9117580335275040.152052572760047
0.110.960195843074540.163440229620702
0.121.009352302233490.177686350101116
0.131.06016781508040.193101205097077
0.141.112896213130030.207664524368619
0.151.167217513376320.219108369711836
0.161.222339712553880.225405214884773
0.171.277136374756870.225291546688819
0.181.330337191001220.21858783966895
0.191.380747573363220.206225031983402
0.21.427450023274580.190008002883662
0.211.469941982899640.17223260475812
0.221.508184651307930.155261234183963
0.231.542562428682050.141145974071376
0.241.573773215923260.131292809236473
0.251.602680917396160.126224299271794
0.261.630163009755990.125505172334343
0.271.656980463244560.127960495159603
0.281.683687895451590.132068216858201
0.291.710591445078820.136341663203943
0.31.737752498342750.139568281867308
0.311.765028325428070.140921593839061
0.321.792136502713370.139997654943404
0.331.818728798655660.13678941235796
0.341.844461610887870.131617285936833
0.351.86905329974650.125036370964285
0.361.892322889810260.11773093779504
0.371.914208635843740.110420217673152
0.381.934768135872080.10377071747164
0.391.95416365826310.098337844131421
0.41.972637152434860.0945234921713679
0.411.990479332997560.092536577351164
0.422.007996673436510.0923675584232085
0.432.025479476189460.0938206777614801
0.442.043173610421040.0965160210071343
0.452.061258068147770.0999627917348182
0.462.079830102336290.103616739013169
0.472.0988992493140.106946596688157
0.482.118390899491860.109476516272334
0.492.138159232878910.110843274059544
0.52.15800833171810.110820443113117
0.512.177719247331380.109352529384025
0.522.197079902846290.106558950978845
0.532.215914138558380.102727303011654
0.542.234106103966460.0982750924549162
0.552.251616655123380.0937172771605107
0.562.268489416296590.089593119469414
0.572.284845589068510.0864020254244505
0.582.300868218908790.0845118798014231
0.592.316778178482140.0841034422106904
0.62.33280532052010.0851307252835014
0.612.349158883604910.0873320509450529
0.622.366001217783890.0903058363275159
0.632.383428291069930.0935637256542095
0.642.401459415255670.0966258007667254
0.652.420037413998970.0990594444932376
0.662.43903924384270.100535765050412
0.672.458295975179880.100850075992886
0.682.477620043699380.099965801213477
0.692.496836729491780.0980039415580084
0.72.515815878235240.0952600573332156
0.712.534499050633050.0921710594698043
0.722.55291687067920.0892846692857086
0.732.571191787670070.087167481609344
0.742.589523195560460.0862994255413637
0.752.608155003798650.0869174887932968
0.762.627329924949510.0889224814889437
0.772.647238906835940.0918605257856906
0.782.667976839257880.095021449927601
0.792.689515562820730.0976245645003091
0.82.711701757174680.0989892211715967
0.812.73428127124990.0986800800421097
0.822.756944945276220.0965890682110775
0.832.779386492356210.0929158029300761
0.842.801362176869820.0881063304977753
0.852.822744376886280.0827489736257735
0.862.84356403533230.0775035917013894
0.872.864037327648340.0730669668533379
0.882.884568549909220.0701462609278754
0.892.905717359944110.069315485897402
0.92.928120851356320.070717849267389
0.912.952375982323420.0738079866830545
0.922.97891458069260.0773971299416982
0.933.007923664395970.0800623442942693
0.943.03933869930510.080744491444097
0.953.072828548530650.0792496981379586
0.963.107546734788050.0758258379482283
0.973.141491030312350.06880168390428
0.983.170924583710870.0529601374088255
0.993.191209563029940.0259220211288255

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 0.241321490551596 & 0.11379151655471 \tabularnewline
0.02 & 0.314707483339366 & 0.153142341410691 \tabularnewline
0.03 & 0.406102655296587 & 0.191857188756215 \tabularnewline
0.04 & 0.502889294128127 & 0.20765389843708 \tabularnewline
0.05 & 0.595498849660744 & 0.199107687643946 \tabularnewline
0.06 & 0.678032243868935 & 0.17791304444409 \tabularnewline
0.07 & 0.74869985207642 & 0.157635409414647 \tabularnewline
0.08 & 0.809039671697715 & 0.146427776978685 \tabularnewline
0.09 & 0.862267842904413 & 0.145450658741797 \tabularnewline
0.1 & 0.911758033527504 & 0.152052572760047 \tabularnewline
0.11 & 0.96019584307454 & 0.163440229620702 \tabularnewline
0.12 & 1.00935230223349 & 0.177686350101116 \tabularnewline
0.13 & 1.0601678150804 & 0.193101205097077 \tabularnewline
0.14 & 1.11289621313003 & 0.207664524368619 \tabularnewline
0.15 & 1.16721751337632 & 0.219108369711836 \tabularnewline
0.16 & 1.22233971255388 & 0.225405214884773 \tabularnewline
0.17 & 1.27713637475687 & 0.225291546688819 \tabularnewline
0.18 & 1.33033719100122 & 0.21858783966895 \tabularnewline
0.19 & 1.38074757336322 & 0.206225031983402 \tabularnewline
0.2 & 1.42745002327458 & 0.190008002883662 \tabularnewline
0.21 & 1.46994198289964 & 0.17223260475812 \tabularnewline
0.22 & 1.50818465130793 & 0.155261234183963 \tabularnewline
0.23 & 1.54256242868205 & 0.141145974071376 \tabularnewline
0.24 & 1.57377321592326 & 0.131292809236473 \tabularnewline
0.25 & 1.60268091739616 & 0.126224299271794 \tabularnewline
0.26 & 1.63016300975599 & 0.125505172334343 \tabularnewline
0.27 & 1.65698046324456 & 0.127960495159603 \tabularnewline
0.28 & 1.68368789545159 & 0.132068216858201 \tabularnewline
0.29 & 1.71059144507882 & 0.136341663203943 \tabularnewline
0.3 & 1.73775249834275 & 0.139568281867308 \tabularnewline
0.31 & 1.76502832542807 & 0.140921593839061 \tabularnewline
0.32 & 1.79213650271337 & 0.139997654943404 \tabularnewline
0.33 & 1.81872879865566 & 0.13678941235796 \tabularnewline
0.34 & 1.84446161088787 & 0.131617285936833 \tabularnewline
0.35 & 1.8690532997465 & 0.125036370964285 \tabularnewline
0.36 & 1.89232288981026 & 0.11773093779504 \tabularnewline
0.37 & 1.91420863584374 & 0.110420217673152 \tabularnewline
0.38 & 1.93476813587208 & 0.10377071747164 \tabularnewline
0.39 & 1.9541636582631 & 0.098337844131421 \tabularnewline
0.4 & 1.97263715243486 & 0.0945234921713679 \tabularnewline
0.41 & 1.99047933299756 & 0.092536577351164 \tabularnewline
0.42 & 2.00799667343651 & 0.0923675584232085 \tabularnewline
0.43 & 2.02547947618946 & 0.0938206777614801 \tabularnewline
0.44 & 2.04317361042104 & 0.0965160210071343 \tabularnewline
0.45 & 2.06125806814777 & 0.0999627917348182 \tabularnewline
0.46 & 2.07983010233629 & 0.103616739013169 \tabularnewline
0.47 & 2.098899249314 & 0.106946596688157 \tabularnewline
0.48 & 2.11839089949186 & 0.109476516272334 \tabularnewline
0.49 & 2.13815923287891 & 0.110843274059544 \tabularnewline
0.5 & 2.1580083317181 & 0.110820443113117 \tabularnewline
0.51 & 2.17771924733138 & 0.109352529384025 \tabularnewline
0.52 & 2.19707990284629 & 0.106558950978845 \tabularnewline
0.53 & 2.21591413855838 & 0.102727303011654 \tabularnewline
0.54 & 2.23410610396646 & 0.0982750924549162 \tabularnewline
0.55 & 2.25161665512338 & 0.0937172771605107 \tabularnewline
0.56 & 2.26848941629659 & 0.089593119469414 \tabularnewline
0.57 & 2.28484558906851 & 0.0864020254244505 \tabularnewline
0.58 & 2.30086821890879 & 0.0845118798014231 \tabularnewline
0.59 & 2.31677817848214 & 0.0841034422106904 \tabularnewline
0.6 & 2.3328053205201 & 0.0851307252835014 \tabularnewline
0.61 & 2.34915888360491 & 0.0873320509450529 \tabularnewline
0.62 & 2.36600121778389 & 0.0903058363275159 \tabularnewline
0.63 & 2.38342829106993 & 0.0935637256542095 \tabularnewline
0.64 & 2.40145941525567 & 0.0966258007667254 \tabularnewline
0.65 & 2.42003741399897 & 0.0990594444932376 \tabularnewline
0.66 & 2.4390392438427 & 0.100535765050412 \tabularnewline
0.67 & 2.45829597517988 & 0.100850075992886 \tabularnewline
0.68 & 2.47762004369938 & 0.099965801213477 \tabularnewline
0.69 & 2.49683672949178 & 0.0980039415580084 \tabularnewline
0.7 & 2.51581587823524 & 0.0952600573332156 \tabularnewline
0.71 & 2.53449905063305 & 0.0921710594698043 \tabularnewline
0.72 & 2.5529168706792 & 0.0892846692857086 \tabularnewline
0.73 & 2.57119178767007 & 0.087167481609344 \tabularnewline
0.74 & 2.58952319556046 & 0.0862994255413637 \tabularnewline
0.75 & 2.60815500379865 & 0.0869174887932968 \tabularnewline
0.76 & 2.62732992494951 & 0.0889224814889437 \tabularnewline
0.77 & 2.64723890683594 & 0.0918605257856906 \tabularnewline
0.78 & 2.66797683925788 & 0.095021449927601 \tabularnewline
0.79 & 2.68951556282073 & 0.0976245645003091 \tabularnewline
0.8 & 2.71170175717468 & 0.0989892211715967 \tabularnewline
0.81 & 2.7342812712499 & 0.0986800800421097 \tabularnewline
0.82 & 2.75694494527622 & 0.0965890682110775 \tabularnewline
0.83 & 2.77938649235621 & 0.0929158029300761 \tabularnewline
0.84 & 2.80136217686982 & 0.0881063304977753 \tabularnewline
0.85 & 2.82274437688628 & 0.0827489736257735 \tabularnewline
0.86 & 2.8435640353323 & 0.0775035917013894 \tabularnewline
0.87 & 2.86403732764834 & 0.0730669668533379 \tabularnewline
0.88 & 2.88456854990922 & 0.0701462609278754 \tabularnewline
0.89 & 2.90571735994411 & 0.069315485897402 \tabularnewline
0.9 & 2.92812085135632 & 0.070717849267389 \tabularnewline
0.91 & 2.95237598232342 & 0.0738079866830545 \tabularnewline
0.92 & 2.9789145806926 & 0.0773971299416982 \tabularnewline
0.93 & 3.00792366439597 & 0.0800623442942693 \tabularnewline
0.94 & 3.0393386993051 & 0.080744491444097 \tabularnewline
0.95 & 3.07282854853065 & 0.0792496981379586 \tabularnewline
0.96 & 3.10754673478805 & 0.0758258379482283 \tabularnewline
0.97 & 3.14149103031235 & 0.06880168390428 \tabularnewline
0.98 & 3.17092458371087 & 0.0529601374088255 \tabularnewline
0.99 & 3.19120956302994 & 0.0259220211288255 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277541&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]0.241321490551596[/C][C]0.11379151655471[/C][/ROW]
[ROW][C]0.02[/C][C]0.314707483339366[/C][C]0.153142341410691[/C][/ROW]
[ROW][C]0.03[/C][C]0.406102655296587[/C][C]0.191857188756215[/C][/ROW]
[ROW][C]0.04[/C][C]0.502889294128127[/C][C]0.20765389843708[/C][/ROW]
[ROW][C]0.05[/C][C]0.595498849660744[/C][C]0.199107687643946[/C][/ROW]
[ROW][C]0.06[/C][C]0.678032243868935[/C][C]0.17791304444409[/C][/ROW]
[ROW][C]0.07[/C][C]0.74869985207642[/C][C]0.157635409414647[/C][/ROW]
[ROW][C]0.08[/C][C]0.809039671697715[/C][C]0.146427776978685[/C][/ROW]
[ROW][C]0.09[/C][C]0.862267842904413[/C][C]0.145450658741797[/C][/ROW]
[ROW][C]0.1[/C][C]0.911758033527504[/C][C]0.152052572760047[/C][/ROW]
[ROW][C]0.11[/C][C]0.96019584307454[/C][C]0.163440229620702[/C][/ROW]
[ROW][C]0.12[/C][C]1.00935230223349[/C][C]0.177686350101116[/C][/ROW]
[ROW][C]0.13[/C][C]1.0601678150804[/C][C]0.193101205097077[/C][/ROW]
[ROW][C]0.14[/C][C]1.11289621313003[/C][C]0.207664524368619[/C][/ROW]
[ROW][C]0.15[/C][C]1.16721751337632[/C][C]0.219108369711836[/C][/ROW]
[ROW][C]0.16[/C][C]1.22233971255388[/C][C]0.225405214884773[/C][/ROW]
[ROW][C]0.17[/C][C]1.27713637475687[/C][C]0.225291546688819[/C][/ROW]
[ROW][C]0.18[/C][C]1.33033719100122[/C][C]0.21858783966895[/C][/ROW]
[ROW][C]0.19[/C][C]1.38074757336322[/C][C]0.206225031983402[/C][/ROW]
[ROW][C]0.2[/C][C]1.42745002327458[/C][C]0.190008002883662[/C][/ROW]
[ROW][C]0.21[/C][C]1.46994198289964[/C][C]0.17223260475812[/C][/ROW]
[ROW][C]0.22[/C][C]1.50818465130793[/C][C]0.155261234183963[/C][/ROW]
[ROW][C]0.23[/C][C]1.54256242868205[/C][C]0.141145974071376[/C][/ROW]
[ROW][C]0.24[/C][C]1.57377321592326[/C][C]0.131292809236473[/C][/ROW]
[ROW][C]0.25[/C][C]1.60268091739616[/C][C]0.126224299271794[/C][/ROW]
[ROW][C]0.26[/C][C]1.63016300975599[/C][C]0.125505172334343[/C][/ROW]
[ROW][C]0.27[/C][C]1.65698046324456[/C][C]0.127960495159603[/C][/ROW]
[ROW][C]0.28[/C][C]1.68368789545159[/C][C]0.132068216858201[/C][/ROW]
[ROW][C]0.29[/C][C]1.71059144507882[/C][C]0.136341663203943[/C][/ROW]
[ROW][C]0.3[/C][C]1.73775249834275[/C][C]0.139568281867308[/C][/ROW]
[ROW][C]0.31[/C][C]1.76502832542807[/C][C]0.140921593839061[/C][/ROW]
[ROW][C]0.32[/C][C]1.79213650271337[/C][C]0.139997654943404[/C][/ROW]
[ROW][C]0.33[/C][C]1.81872879865566[/C][C]0.13678941235796[/C][/ROW]
[ROW][C]0.34[/C][C]1.84446161088787[/C][C]0.131617285936833[/C][/ROW]
[ROW][C]0.35[/C][C]1.8690532997465[/C][C]0.125036370964285[/C][/ROW]
[ROW][C]0.36[/C][C]1.89232288981026[/C][C]0.11773093779504[/C][/ROW]
[ROW][C]0.37[/C][C]1.91420863584374[/C][C]0.110420217673152[/C][/ROW]
[ROW][C]0.38[/C][C]1.93476813587208[/C][C]0.10377071747164[/C][/ROW]
[ROW][C]0.39[/C][C]1.9541636582631[/C][C]0.098337844131421[/C][/ROW]
[ROW][C]0.4[/C][C]1.97263715243486[/C][C]0.0945234921713679[/C][/ROW]
[ROW][C]0.41[/C][C]1.99047933299756[/C][C]0.092536577351164[/C][/ROW]
[ROW][C]0.42[/C][C]2.00799667343651[/C][C]0.0923675584232085[/C][/ROW]
[ROW][C]0.43[/C][C]2.02547947618946[/C][C]0.0938206777614801[/C][/ROW]
[ROW][C]0.44[/C][C]2.04317361042104[/C][C]0.0965160210071343[/C][/ROW]
[ROW][C]0.45[/C][C]2.06125806814777[/C][C]0.0999627917348182[/C][/ROW]
[ROW][C]0.46[/C][C]2.07983010233629[/C][C]0.103616739013169[/C][/ROW]
[ROW][C]0.47[/C][C]2.098899249314[/C][C]0.106946596688157[/C][/ROW]
[ROW][C]0.48[/C][C]2.11839089949186[/C][C]0.109476516272334[/C][/ROW]
[ROW][C]0.49[/C][C]2.13815923287891[/C][C]0.110843274059544[/C][/ROW]
[ROW][C]0.5[/C][C]2.1580083317181[/C][C]0.110820443113117[/C][/ROW]
[ROW][C]0.51[/C][C]2.17771924733138[/C][C]0.109352529384025[/C][/ROW]
[ROW][C]0.52[/C][C]2.19707990284629[/C][C]0.106558950978845[/C][/ROW]
[ROW][C]0.53[/C][C]2.21591413855838[/C][C]0.102727303011654[/C][/ROW]
[ROW][C]0.54[/C][C]2.23410610396646[/C][C]0.0982750924549162[/C][/ROW]
[ROW][C]0.55[/C][C]2.25161665512338[/C][C]0.0937172771605107[/C][/ROW]
[ROW][C]0.56[/C][C]2.26848941629659[/C][C]0.089593119469414[/C][/ROW]
[ROW][C]0.57[/C][C]2.28484558906851[/C][C]0.0864020254244505[/C][/ROW]
[ROW][C]0.58[/C][C]2.30086821890879[/C][C]0.0845118798014231[/C][/ROW]
[ROW][C]0.59[/C][C]2.31677817848214[/C][C]0.0841034422106904[/C][/ROW]
[ROW][C]0.6[/C][C]2.3328053205201[/C][C]0.0851307252835014[/C][/ROW]
[ROW][C]0.61[/C][C]2.34915888360491[/C][C]0.0873320509450529[/C][/ROW]
[ROW][C]0.62[/C][C]2.36600121778389[/C][C]0.0903058363275159[/C][/ROW]
[ROW][C]0.63[/C][C]2.38342829106993[/C][C]0.0935637256542095[/C][/ROW]
[ROW][C]0.64[/C][C]2.40145941525567[/C][C]0.0966258007667254[/C][/ROW]
[ROW][C]0.65[/C][C]2.42003741399897[/C][C]0.0990594444932376[/C][/ROW]
[ROW][C]0.66[/C][C]2.4390392438427[/C][C]0.100535765050412[/C][/ROW]
[ROW][C]0.67[/C][C]2.45829597517988[/C][C]0.100850075992886[/C][/ROW]
[ROW][C]0.68[/C][C]2.47762004369938[/C][C]0.099965801213477[/C][/ROW]
[ROW][C]0.69[/C][C]2.49683672949178[/C][C]0.0980039415580084[/C][/ROW]
[ROW][C]0.7[/C][C]2.51581587823524[/C][C]0.0952600573332156[/C][/ROW]
[ROW][C]0.71[/C][C]2.53449905063305[/C][C]0.0921710594698043[/C][/ROW]
[ROW][C]0.72[/C][C]2.5529168706792[/C][C]0.0892846692857086[/C][/ROW]
[ROW][C]0.73[/C][C]2.57119178767007[/C][C]0.087167481609344[/C][/ROW]
[ROW][C]0.74[/C][C]2.58952319556046[/C][C]0.0862994255413637[/C][/ROW]
[ROW][C]0.75[/C][C]2.60815500379865[/C][C]0.0869174887932968[/C][/ROW]
[ROW][C]0.76[/C][C]2.62732992494951[/C][C]0.0889224814889437[/C][/ROW]
[ROW][C]0.77[/C][C]2.64723890683594[/C][C]0.0918605257856906[/C][/ROW]
[ROW][C]0.78[/C][C]2.66797683925788[/C][C]0.095021449927601[/C][/ROW]
[ROW][C]0.79[/C][C]2.68951556282073[/C][C]0.0976245645003091[/C][/ROW]
[ROW][C]0.8[/C][C]2.71170175717468[/C][C]0.0989892211715967[/C][/ROW]
[ROW][C]0.81[/C][C]2.7342812712499[/C][C]0.0986800800421097[/C][/ROW]
[ROW][C]0.82[/C][C]2.75694494527622[/C][C]0.0965890682110775[/C][/ROW]
[ROW][C]0.83[/C][C]2.77938649235621[/C][C]0.0929158029300761[/C][/ROW]
[ROW][C]0.84[/C][C]2.80136217686982[/C][C]0.0881063304977753[/C][/ROW]
[ROW][C]0.85[/C][C]2.82274437688628[/C][C]0.0827489736257735[/C][/ROW]
[ROW][C]0.86[/C][C]2.8435640353323[/C][C]0.0775035917013894[/C][/ROW]
[ROW][C]0.87[/C][C]2.86403732764834[/C][C]0.0730669668533379[/C][/ROW]
[ROW][C]0.88[/C][C]2.88456854990922[/C][C]0.0701462609278754[/C][/ROW]
[ROW][C]0.89[/C][C]2.90571735994411[/C][C]0.069315485897402[/C][/ROW]
[ROW][C]0.9[/C][C]2.92812085135632[/C][C]0.070717849267389[/C][/ROW]
[ROW][C]0.91[/C][C]2.95237598232342[/C][C]0.0738079866830545[/C][/ROW]
[ROW][C]0.92[/C][C]2.9789145806926[/C][C]0.0773971299416982[/C][/ROW]
[ROW][C]0.93[/C][C]3.00792366439597[/C][C]0.0800623442942693[/C][/ROW]
[ROW][C]0.94[/C][C]3.0393386993051[/C][C]0.080744491444097[/C][/ROW]
[ROW][C]0.95[/C][C]3.07282854853065[/C][C]0.0792496981379586[/C][/ROW]
[ROW][C]0.96[/C][C]3.10754673478805[/C][C]0.0758258379482283[/C][/ROW]
[ROW][C]0.97[/C][C]3.14149103031235[/C][C]0.06880168390428[/C][/ROW]
[ROW][C]0.98[/C][C]3.17092458371087[/C][C]0.0529601374088255[/C][/ROW]
[ROW][C]0.99[/C][C]3.19120956302994[/C][C]0.0259220211288255[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277541&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277541&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
0.010.2413214905515960.11379151655471
0.020.3147074833393660.153142341410691
0.030.4061026552965870.191857188756215
0.040.5028892941281270.20765389843708
0.050.5954988496607440.199107687643946
0.060.6780322438689350.17791304444409
0.070.748699852076420.157635409414647
0.080.8090396716977150.146427776978685
0.090.8622678429044130.145450658741797
0.10.9117580335275040.152052572760047
0.110.960195843074540.163440229620702
0.121.009352302233490.177686350101116
0.131.06016781508040.193101205097077
0.141.112896213130030.207664524368619
0.151.167217513376320.219108369711836
0.161.222339712553880.225405214884773
0.171.277136374756870.225291546688819
0.181.330337191001220.21858783966895
0.191.380747573363220.206225031983402
0.21.427450023274580.190008002883662
0.211.469941982899640.17223260475812
0.221.508184651307930.155261234183963
0.231.542562428682050.141145974071376
0.241.573773215923260.131292809236473
0.251.602680917396160.126224299271794
0.261.630163009755990.125505172334343
0.271.656980463244560.127960495159603
0.281.683687895451590.132068216858201
0.291.710591445078820.136341663203943
0.31.737752498342750.139568281867308
0.311.765028325428070.140921593839061
0.321.792136502713370.139997654943404
0.331.818728798655660.13678941235796
0.341.844461610887870.131617285936833
0.351.86905329974650.125036370964285
0.361.892322889810260.11773093779504
0.371.914208635843740.110420217673152
0.381.934768135872080.10377071747164
0.391.95416365826310.098337844131421
0.41.972637152434860.0945234921713679
0.411.990479332997560.092536577351164
0.422.007996673436510.0923675584232085
0.432.025479476189460.0938206777614801
0.442.043173610421040.0965160210071343
0.452.061258068147770.0999627917348182
0.462.079830102336290.103616739013169
0.472.0988992493140.106946596688157
0.482.118390899491860.109476516272334
0.492.138159232878910.110843274059544
0.52.15800833171810.110820443113117
0.512.177719247331380.109352529384025
0.522.197079902846290.106558950978845
0.532.215914138558380.102727303011654
0.542.234106103966460.0982750924549162
0.552.251616655123380.0937172771605107
0.562.268489416296590.089593119469414
0.572.284845589068510.0864020254244505
0.582.300868218908790.0845118798014231
0.592.316778178482140.0841034422106904
0.62.33280532052010.0851307252835014
0.612.349158883604910.0873320509450529
0.622.366001217783890.0903058363275159
0.632.383428291069930.0935637256542095
0.642.401459415255670.0966258007667254
0.652.420037413998970.0990594444932376
0.662.43903924384270.100535765050412
0.672.458295975179880.100850075992886
0.682.477620043699380.099965801213477
0.692.496836729491780.0980039415580084
0.72.515815878235240.0952600573332156
0.712.534499050633050.0921710594698043
0.722.55291687067920.0892846692857086
0.732.571191787670070.087167481609344
0.742.589523195560460.0862994255413637
0.752.608155003798650.0869174887932968
0.762.627329924949510.0889224814889437
0.772.647238906835940.0918605257856906
0.782.667976839257880.095021449927601
0.792.689515562820730.0976245645003091
0.82.711701757174680.0989892211715967
0.812.73428127124990.0986800800421097
0.822.756944945276220.0965890682110775
0.832.779386492356210.0929158029300761
0.842.801362176869820.0881063304977753
0.852.822744376886280.0827489736257735
0.862.84356403533230.0775035917013894
0.872.864037327648340.0730669668533379
0.882.884568549909220.0701462609278754
0.892.905717359944110.069315485897402
0.92.928120851356320.070717849267389
0.912.952375982323420.0738079866830545
0.922.97891458069260.0773971299416982
0.933.007923664395970.0800623442942693
0.943.03933869930510.080744491444097
0.953.072828548530650.0792496981379586
0.963.107546734788050.0758258379482283
0.973.141491030312350.06880168390428
0.983.170924583710870.0529601374088255
0.993.191209563029940.0259220211288255


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')