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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 computationSat, 11 Mar 2017 13:34:03 +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/2017/Mar/11/t1489239275u7q9wy5rqiqjcy1.htm/, Retrieved Tue, 14 May 2024 15:40:40 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Tue, 14 May 2024 15:40:40 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
91,46
92,17
91,91
92,06
92,33
92,73
93,35
93,28
93,22
93,31
93,21
93,14
93,82
94,18
94,44
94,35
94,38
94,72
95,25
95,16
94,9
95,09
95,22
95,39
96,57
97,05
97,11
97,08
97,5
97,92
98,44
98,44
98,06
98,2
98,19
98,36
98,41
98,97
99,45
98,95
99,7
100,12
100,62
100,75
100,47
100,71
100,85
101,03
101,13
101,38
101,73
101,89
102,02
102,11
102,77
102,49
102,52
102,69
102,32
102,6
103,03
103,7
103,17
103,88
104,09
104,32
104,88
105,06
104,66
105,41
105,41
105,48

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'Herman Ole Andreas Wold' @ wold.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 & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0191.58943152742090.372268887551427
0.0291.77266079358210.296780472978777
0.0391.95178752768810.272160735379663
0.0492.11279983837150.302307864024127
0.0592.26466048352860.355908812745117
0.0692.41627766392220.403664142220888
0.0792.56909590254310.428703000572622
0.0892.71912794446990.427242963895183
0.0992.86117670994940.406182261476976
0.192.99195587328640.378545186631606
0.1193.11133290892740.358419610307344
0.1293.22199248384390.355996185399784
0.1393.32820023515390.373433938177352
0.1493.43436568184080.406321327669243
0.1593.5439120255210.446341064491823
0.1693.65869383900170.485729218481428
0.1793.77896728028120.518701781087651
0.1893.90376617638290.542447237109465
0.1994.03147900811940.55669800855343
0.294.16043659990590.56357055907487
0.2194.28937769667170.566603664330238
0.2294.41772964613530.570011390350706
0.2394.54570125177930.577621333154287
0.2494.67422222813810.592802781893989
0.2594.80477721226390.617663890436986
0.2694.93917875985510.653419864557236
0.2795.07931328053290.699335239227514
0.2895.22688492306530.753873601059316
0.2995.3831788198530.813689957293751
0.395.54886569448770.874893351013108
0.3195.72387052179510.932474263836175
0.3295.9073245634440.982021441376107
0.3396.097610851911.01971855312979
0.3496.29249937831261.04249377788229
0.3596.48935355104051.04909546912393
0.3696.68537824272241.03955142394692
0.3796.87787502747421.01515479879134
0.3897.06447279687710.97859281943197
0.3997.2433102345650.933042451424891
0.497.4131575412830.882357922713812
0.4197.5734750627420.830097005095212
0.4297.7244137665920.780405792349263
0.4397.86676606813490.736336842586904
0.4498.00187599624350.701216341400936
0.4598.13151666453760.677360820008696
0.4698.25774210485530.666044583926709
0.4798.38272082467640.667843494508354
0.4898.50856021079660.681782365746656
0.4998.63713355933570.705955507543483
0.598.76992401123460.737140134902249
0.5198.90790086429150.771869974272401
0.5299.05144273667430.806175305604198
0.5399.20031849016690.836548721237961
0.5499.35373087954210.859895078740106
0.5599.5104203027770.873866065603558
0.5699.66881790532540.87715651668311
0.5799.82722996716360.86974162799811
0.5899.98403029121730.852535698897235
0.59100.1378352967420.827543106585134
0.6100.2876383291770.797442536801466
0.61100.4328853336640.765260002251743
0.62100.5734828032120.733797769240735
0.63100.7097394501780.705699191465999
0.64100.8422535538890.682256107525617
0.65100.9717664841090.664020436966627
0.66101.0990078625550.650302033065412
0.67101.2245582638170.639828156279526
0.68101.3487512802950.630501365513002
0.69101.4716291679540.620434746383812
0.7101.5929568770740.608030637311099
0.71101.7122900580490.592103227529008
0.72101.8290853313880.572513204444248
0.73101.9428366618140.549617407769634
0.74102.053220019040.524587185517804
0.75102.160228738260.499297636163341
0.76102.2642828802030.47582745494396
0.77102.3662965855550.456978814526972
0.78102.4676880824540.445084953298406
0.79102.5703190363890.442391447516197
0.8102.6763555610140.449984432297362
0.81102.7880544171440.46770484124443
0.82102.9074949028250.493746246130616
0.83103.0362966387050.524663425632205
0.84103.1753791697510.556311453174536
0.85103.3248221841330.58417729688288
0.86103.4838681370460.604382776739344
0.87103.6510722429580.614540943719858
0.88103.8245589533830.61376692992913
0.89104.0023078815220.602789693312243
0.9104.1823806631730.583181651005307
0.91104.3630098671750.556536946551097
0.92104.5424793225030.523921053322699
0.93104.7187259261080.485596808983273
0.94104.8886565397950.440346373752609
0.95105.0474425007020.384609965283005
0.96105.1885218411570.313486623313509
0.97105.3051403435810.226910802367274
0.98105.3929760677390.139035054391093
0.99105.4511296334030.0807818763711774

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 91.5894315274209 & 0.372268887551427 \tabularnewline
0.02 & 91.7726607935821 & 0.296780472978777 \tabularnewline
0.03 & 91.9517875276881 & 0.272160735379663 \tabularnewline
0.04 & 92.1127998383715 & 0.302307864024127 \tabularnewline
0.05 & 92.2646604835286 & 0.355908812745117 \tabularnewline
0.06 & 92.4162776639222 & 0.403664142220888 \tabularnewline
0.07 & 92.5690959025431 & 0.428703000572622 \tabularnewline
0.08 & 92.7191279444699 & 0.427242963895183 \tabularnewline
0.09 & 92.8611767099494 & 0.406182261476976 \tabularnewline
0.1 & 92.9919558732864 & 0.378545186631606 \tabularnewline
0.11 & 93.1113329089274 & 0.358419610307344 \tabularnewline
0.12 & 93.2219924838439 & 0.355996185399784 \tabularnewline
0.13 & 93.3282002351539 & 0.373433938177352 \tabularnewline
0.14 & 93.4343656818408 & 0.406321327669243 \tabularnewline
0.15 & 93.543912025521 & 0.446341064491823 \tabularnewline
0.16 & 93.6586938390017 & 0.485729218481428 \tabularnewline
0.17 & 93.7789672802812 & 0.518701781087651 \tabularnewline
0.18 & 93.9037661763829 & 0.542447237109465 \tabularnewline
0.19 & 94.0314790081194 & 0.55669800855343 \tabularnewline
0.2 & 94.1604365999059 & 0.56357055907487 \tabularnewline
0.21 & 94.2893776966717 & 0.566603664330238 \tabularnewline
0.22 & 94.4177296461353 & 0.570011390350706 \tabularnewline
0.23 & 94.5457012517793 & 0.577621333154287 \tabularnewline
0.24 & 94.6742222281381 & 0.592802781893989 \tabularnewline
0.25 & 94.8047772122639 & 0.617663890436986 \tabularnewline
0.26 & 94.9391787598551 & 0.653419864557236 \tabularnewline
0.27 & 95.0793132805329 & 0.699335239227514 \tabularnewline
0.28 & 95.2268849230653 & 0.753873601059316 \tabularnewline
0.29 & 95.383178819853 & 0.813689957293751 \tabularnewline
0.3 & 95.5488656944877 & 0.874893351013108 \tabularnewline
0.31 & 95.7238705217951 & 0.932474263836175 \tabularnewline
0.32 & 95.907324563444 & 0.982021441376107 \tabularnewline
0.33 & 96.09761085191 & 1.01971855312979 \tabularnewline
0.34 & 96.2924993783126 & 1.04249377788229 \tabularnewline
0.35 & 96.4893535510405 & 1.04909546912393 \tabularnewline
0.36 & 96.6853782427224 & 1.03955142394692 \tabularnewline
0.37 & 96.8778750274742 & 1.01515479879134 \tabularnewline
0.38 & 97.0644727968771 & 0.97859281943197 \tabularnewline
0.39 & 97.243310234565 & 0.933042451424891 \tabularnewline
0.4 & 97.413157541283 & 0.882357922713812 \tabularnewline
0.41 & 97.573475062742 & 0.830097005095212 \tabularnewline
0.42 & 97.724413766592 & 0.780405792349263 \tabularnewline
0.43 & 97.8667660681349 & 0.736336842586904 \tabularnewline
0.44 & 98.0018759962435 & 0.701216341400936 \tabularnewline
0.45 & 98.1315166645376 & 0.677360820008696 \tabularnewline
0.46 & 98.2577421048553 & 0.666044583926709 \tabularnewline
0.47 & 98.3827208246764 & 0.667843494508354 \tabularnewline
0.48 & 98.5085602107966 & 0.681782365746656 \tabularnewline
0.49 & 98.6371335593357 & 0.705955507543483 \tabularnewline
0.5 & 98.7699240112346 & 0.737140134902249 \tabularnewline
0.51 & 98.9079008642915 & 0.771869974272401 \tabularnewline
0.52 & 99.0514427366743 & 0.806175305604198 \tabularnewline
0.53 & 99.2003184901669 & 0.836548721237961 \tabularnewline
0.54 & 99.3537308795421 & 0.859895078740106 \tabularnewline
0.55 & 99.510420302777 & 0.873866065603558 \tabularnewline
0.56 & 99.6688179053254 & 0.87715651668311 \tabularnewline
0.57 & 99.8272299671636 & 0.86974162799811 \tabularnewline
0.58 & 99.9840302912173 & 0.852535698897235 \tabularnewline
0.59 & 100.137835296742 & 0.827543106585134 \tabularnewline
0.6 & 100.287638329177 & 0.797442536801466 \tabularnewline
0.61 & 100.432885333664 & 0.765260002251743 \tabularnewline
0.62 & 100.573482803212 & 0.733797769240735 \tabularnewline
0.63 & 100.709739450178 & 0.705699191465999 \tabularnewline
0.64 & 100.842253553889 & 0.682256107525617 \tabularnewline
0.65 & 100.971766484109 & 0.664020436966627 \tabularnewline
0.66 & 101.099007862555 & 0.650302033065412 \tabularnewline
0.67 & 101.224558263817 & 0.639828156279526 \tabularnewline
0.68 & 101.348751280295 & 0.630501365513002 \tabularnewline
0.69 & 101.471629167954 & 0.620434746383812 \tabularnewline
0.7 & 101.592956877074 & 0.608030637311099 \tabularnewline
0.71 & 101.712290058049 & 0.592103227529008 \tabularnewline
0.72 & 101.829085331388 & 0.572513204444248 \tabularnewline
0.73 & 101.942836661814 & 0.549617407769634 \tabularnewline
0.74 & 102.05322001904 & 0.524587185517804 \tabularnewline
0.75 & 102.16022873826 & 0.499297636163341 \tabularnewline
0.76 & 102.264282880203 & 0.47582745494396 \tabularnewline
0.77 & 102.366296585555 & 0.456978814526972 \tabularnewline
0.78 & 102.467688082454 & 0.445084953298406 \tabularnewline
0.79 & 102.570319036389 & 0.442391447516197 \tabularnewline
0.8 & 102.676355561014 & 0.449984432297362 \tabularnewline
0.81 & 102.788054417144 & 0.46770484124443 \tabularnewline
0.82 & 102.907494902825 & 0.493746246130616 \tabularnewline
0.83 & 103.036296638705 & 0.524663425632205 \tabularnewline
0.84 & 103.175379169751 & 0.556311453174536 \tabularnewline
0.85 & 103.324822184133 & 0.58417729688288 \tabularnewline
0.86 & 103.483868137046 & 0.604382776739344 \tabularnewline
0.87 & 103.651072242958 & 0.614540943719858 \tabularnewline
0.88 & 103.824558953383 & 0.61376692992913 \tabularnewline
0.89 & 104.002307881522 & 0.602789693312243 \tabularnewline
0.9 & 104.182380663173 & 0.583181651005307 \tabularnewline
0.91 & 104.363009867175 & 0.556536946551097 \tabularnewline
0.92 & 104.542479322503 & 0.523921053322699 \tabularnewline
0.93 & 104.718725926108 & 0.485596808983273 \tabularnewline
0.94 & 104.888656539795 & 0.440346373752609 \tabularnewline
0.95 & 105.047442500702 & 0.384609965283005 \tabularnewline
0.96 & 105.188521841157 & 0.313486623313509 \tabularnewline
0.97 & 105.305140343581 & 0.226910802367274 \tabularnewline
0.98 & 105.392976067739 & 0.139035054391093 \tabularnewline
0.99 & 105.451129633403 & 0.0807818763711774 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]91.5894315274209[/C][C]0.372268887551427[/C][/ROW]
[ROW][C]0.02[/C][C]91.7726607935821[/C][C]0.296780472978777[/C][/ROW]
[ROW][C]0.03[/C][C]91.9517875276881[/C][C]0.272160735379663[/C][/ROW]
[ROW][C]0.04[/C][C]92.1127998383715[/C][C]0.302307864024127[/C][/ROW]
[ROW][C]0.05[/C][C]92.2646604835286[/C][C]0.355908812745117[/C][/ROW]
[ROW][C]0.06[/C][C]92.4162776639222[/C][C]0.403664142220888[/C][/ROW]
[ROW][C]0.07[/C][C]92.5690959025431[/C][C]0.428703000572622[/C][/ROW]
[ROW][C]0.08[/C][C]92.7191279444699[/C][C]0.427242963895183[/C][/ROW]
[ROW][C]0.09[/C][C]92.8611767099494[/C][C]0.406182261476976[/C][/ROW]
[ROW][C]0.1[/C][C]92.9919558732864[/C][C]0.378545186631606[/C][/ROW]
[ROW][C]0.11[/C][C]93.1113329089274[/C][C]0.358419610307344[/C][/ROW]
[ROW][C]0.12[/C][C]93.2219924838439[/C][C]0.355996185399784[/C][/ROW]
[ROW][C]0.13[/C][C]93.3282002351539[/C][C]0.373433938177352[/C][/ROW]
[ROW][C]0.14[/C][C]93.4343656818408[/C][C]0.406321327669243[/C][/ROW]
[ROW][C]0.15[/C][C]93.543912025521[/C][C]0.446341064491823[/C][/ROW]
[ROW][C]0.16[/C][C]93.6586938390017[/C][C]0.485729218481428[/C][/ROW]
[ROW][C]0.17[/C][C]93.7789672802812[/C][C]0.518701781087651[/C][/ROW]
[ROW][C]0.18[/C][C]93.9037661763829[/C][C]0.542447237109465[/C][/ROW]
[ROW][C]0.19[/C][C]94.0314790081194[/C][C]0.55669800855343[/C][/ROW]
[ROW][C]0.2[/C][C]94.1604365999059[/C][C]0.56357055907487[/C][/ROW]
[ROW][C]0.21[/C][C]94.2893776966717[/C][C]0.566603664330238[/C][/ROW]
[ROW][C]0.22[/C][C]94.4177296461353[/C][C]0.570011390350706[/C][/ROW]
[ROW][C]0.23[/C][C]94.5457012517793[/C][C]0.577621333154287[/C][/ROW]
[ROW][C]0.24[/C][C]94.6742222281381[/C][C]0.592802781893989[/C][/ROW]
[ROW][C]0.25[/C][C]94.8047772122639[/C][C]0.617663890436986[/C][/ROW]
[ROW][C]0.26[/C][C]94.9391787598551[/C][C]0.653419864557236[/C][/ROW]
[ROW][C]0.27[/C][C]95.0793132805329[/C][C]0.699335239227514[/C][/ROW]
[ROW][C]0.28[/C][C]95.2268849230653[/C][C]0.753873601059316[/C][/ROW]
[ROW][C]0.29[/C][C]95.383178819853[/C][C]0.813689957293751[/C][/ROW]
[ROW][C]0.3[/C][C]95.5488656944877[/C][C]0.874893351013108[/C][/ROW]
[ROW][C]0.31[/C][C]95.7238705217951[/C][C]0.932474263836175[/C][/ROW]
[ROW][C]0.32[/C][C]95.907324563444[/C][C]0.982021441376107[/C][/ROW]
[ROW][C]0.33[/C][C]96.09761085191[/C][C]1.01971855312979[/C][/ROW]
[ROW][C]0.34[/C][C]96.2924993783126[/C][C]1.04249377788229[/C][/ROW]
[ROW][C]0.35[/C][C]96.4893535510405[/C][C]1.04909546912393[/C][/ROW]
[ROW][C]0.36[/C][C]96.6853782427224[/C][C]1.03955142394692[/C][/ROW]
[ROW][C]0.37[/C][C]96.8778750274742[/C][C]1.01515479879134[/C][/ROW]
[ROW][C]0.38[/C][C]97.0644727968771[/C][C]0.97859281943197[/C][/ROW]
[ROW][C]0.39[/C][C]97.243310234565[/C][C]0.933042451424891[/C][/ROW]
[ROW][C]0.4[/C][C]97.413157541283[/C][C]0.882357922713812[/C][/ROW]
[ROW][C]0.41[/C][C]97.573475062742[/C][C]0.830097005095212[/C][/ROW]
[ROW][C]0.42[/C][C]97.724413766592[/C][C]0.780405792349263[/C][/ROW]
[ROW][C]0.43[/C][C]97.8667660681349[/C][C]0.736336842586904[/C][/ROW]
[ROW][C]0.44[/C][C]98.0018759962435[/C][C]0.701216341400936[/C][/ROW]
[ROW][C]0.45[/C][C]98.1315166645376[/C][C]0.677360820008696[/C][/ROW]
[ROW][C]0.46[/C][C]98.2577421048553[/C][C]0.666044583926709[/C][/ROW]
[ROW][C]0.47[/C][C]98.3827208246764[/C][C]0.667843494508354[/C][/ROW]
[ROW][C]0.48[/C][C]98.5085602107966[/C][C]0.681782365746656[/C][/ROW]
[ROW][C]0.49[/C][C]98.6371335593357[/C][C]0.705955507543483[/C][/ROW]
[ROW][C]0.5[/C][C]98.7699240112346[/C][C]0.737140134902249[/C][/ROW]
[ROW][C]0.51[/C][C]98.9079008642915[/C][C]0.771869974272401[/C][/ROW]
[ROW][C]0.52[/C][C]99.0514427366743[/C][C]0.806175305604198[/C][/ROW]
[ROW][C]0.53[/C][C]99.2003184901669[/C][C]0.836548721237961[/C][/ROW]
[ROW][C]0.54[/C][C]99.3537308795421[/C][C]0.859895078740106[/C][/ROW]
[ROW][C]0.55[/C][C]99.510420302777[/C][C]0.873866065603558[/C][/ROW]
[ROW][C]0.56[/C][C]99.6688179053254[/C][C]0.87715651668311[/C][/ROW]
[ROW][C]0.57[/C][C]99.8272299671636[/C][C]0.86974162799811[/C][/ROW]
[ROW][C]0.58[/C][C]99.9840302912173[/C][C]0.852535698897235[/C][/ROW]
[ROW][C]0.59[/C][C]100.137835296742[/C][C]0.827543106585134[/C][/ROW]
[ROW][C]0.6[/C][C]100.287638329177[/C][C]0.797442536801466[/C][/ROW]
[ROW][C]0.61[/C][C]100.432885333664[/C][C]0.765260002251743[/C][/ROW]
[ROW][C]0.62[/C][C]100.573482803212[/C][C]0.733797769240735[/C][/ROW]
[ROW][C]0.63[/C][C]100.709739450178[/C][C]0.705699191465999[/C][/ROW]
[ROW][C]0.64[/C][C]100.842253553889[/C][C]0.682256107525617[/C][/ROW]
[ROW][C]0.65[/C][C]100.971766484109[/C][C]0.664020436966627[/C][/ROW]
[ROW][C]0.66[/C][C]101.099007862555[/C][C]0.650302033065412[/C][/ROW]
[ROW][C]0.67[/C][C]101.224558263817[/C][C]0.639828156279526[/C][/ROW]
[ROW][C]0.68[/C][C]101.348751280295[/C][C]0.630501365513002[/C][/ROW]
[ROW][C]0.69[/C][C]101.471629167954[/C][C]0.620434746383812[/C][/ROW]
[ROW][C]0.7[/C][C]101.592956877074[/C][C]0.608030637311099[/C][/ROW]
[ROW][C]0.71[/C][C]101.712290058049[/C][C]0.592103227529008[/C][/ROW]
[ROW][C]0.72[/C][C]101.829085331388[/C][C]0.572513204444248[/C][/ROW]
[ROW][C]0.73[/C][C]101.942836661814[/C][C]0.549617407769634[/C][/ROW]
[ROW][C]0.74[/C][C]102.05322001904[/C][C]0.524587185517804[/C][/ROW]
[ROW][C]0.75[/C][C]102.16022873826[/C][C]0.499297636163341[/C][/ROW]
[ROW][C]0.76[/C][C]102.264282880203[/C][C]0.47582745494396[/C][/ROW]
[ROW][C]0.77[/C][C]102.366296585555[/C][C]0.456978814526972[/C][/ROW]
[ROW][C]0.78[/C][C]102.467688082454[/C][C]0.445084953298406[/C][/ROW]
[ROW][C]0.79[/C][C]102.570319036389[/C][C]0.442391447516197[/C][/ROW]
[ROW][C]0.8[/C][C]102.676355561014[/C][C]0.449984432297362[/C][/ROW]
[ROW][C]0.81[/C][C]102.788054417144[/C][C]0.46770484124443[/C][/ROW]
[ROW][C]0.82[/C][C]102.907494902825[/C][C]0.493746246130616[/C][/ROW]
[ROW][C]0.83[/C][C]103.036296638705[/C][C]0.524663425632205[/C][/ROW]
[ROW][C]0.84[/C][C]103.175379169751[/C][C]0.556311453174536[/C][/ROW]
[ROW][C]0.85[/C][C]103.324822184133[/C][C]0.58417729688288[/C][/ROW]
[ROW][C]0.86[/C][C]103.483868137046[/C][C]0.604382776739344[/C][/ROW]
[ROW][C]0.87[/C][C]103.651072242958[/C][C]0.614540943719858[/C][/ROW]
[ROW][C]0.88[/C][C]103.824558953383[/C][C]0.61376692992913[/C][/ROW]
[ROW][C]0.89[/C][C]104.002307881522[/C][C]0.602789693312243[/C][/ROW]
[ROW][C]0.9[/C][C]104.182380663173[/C][C]0.583181651005307[/C][/ROW]
[ROW][C]0.91[/C][C]104.363009867175[/C][C]0.556536946551097[/C][/ROW]
[ROW][C]0.92[/C][C]104.542479322503[/C][C]0.523921053322699[/C][/ROW]
[ROW][C]0.93[/C][C]104.718725926108[/C][C]0.485596808983273[/C][/ROW]
[ROW][C]0.94[/C][C]104.888656539795[/C][C]0.440346373752609[/C][/ROW]
[ROW][C]0.95[/C][C]105.047442500702[/C][C]0.384609965283005[/C][/ROW]
[ROW][C]0.96[/C][C]105.188521841157[/C][C]0.313486623313509[/C][/ROW]
[ROW][C]0.97[/C][C]105.305140343581[/C][C]0.226910802367274[/C][/ROW]
[ROW][C]0.98[/C][C]105.392976067739[/C][C]0.139035054391093[/C][/ROW]
[ROW][C]0.99[/C][C]105.451129633403[/C][C]0.0807818763711774[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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
0.0191.58943152742090.372268887551427
0.0291.77266079358210.296780472978777
0.0391.95178752768810.272160735379663
0.0492.11279983837150.302307864024127
0.0592.26466048352860.355908812745117
0.0692.41627766392220.403664142220888
0.0792.56909590254310.428703000572622
0.0892.71912794446990.427242963895183
0.0992.86117670994940.406182261476976
0.192.99195587328640.378545186631606
0.1193.11133290892740.358419610307344
0.1293.22199248384390.355996185399784
0.1393.32820023515390.373433938177352
0.1493.43436568184080.406321327669243
0.1593.5439120255210.446341064491823
0.1693.65869383900170.485729218481428
0.1793.77896728028120.518701781087651
0.1893.90376617638290.542447237109465
0.1994.03147900811940.55669800855343
0.294.16043659990590.56357055907487
0.2194.28937769667170.566603664330238
0.2294.41772964613530.570011390350706
0.2394.54570125177930.577621333154287
0.2494.67422222813810.592802781893989
0.2594.80477721226390.617663890436986
0.2694.93917875985510.653419864557236
0.2795.07931328053290.699335239227514
0.2895.22688492306530.753873601059316
0.2995.3831788198530.813689957293751
0.395.54886569448770.874893351013108
0.3195.72387052179510.932474263836175
0.3295.9073245634440.982021441376107
0.3396.097610851911.01971855312979
0.3496.29249937831261.04249377788229
0.3596.48935355104051.04909546912393
0.3696.68537824272241.03955142394692
0.3796.87787502747421.01515479879134
0.3897.06447279687710.97859281943197
0.3997.2433102345650.933042451424891
0.497.4131575412830.882357922713812
0.4197.5734750627420.830097005095212
0.4297.7244137665920.780405792349263
0.4397.86676606813490.736336842586904
0.4498.00187599624350.701216341400936
0.4598.13151666453760.677360820008696
0.4698.25774210485530.666044583926709
0.4798.38272082467640.667843494508354
0.4898.50856021079660.681782365746656
0.4998.63713355933570.705955507543483
0.598.76992401123460.737140134902249
0.5198.90790086429150.771869974272401
0.5299.05144273667430.806175305604198
0.5399.20031849016690.836548721237961
0.5499.35373087954210.859895078740106
0.5599.5104203027770.873866065603558
0.5699.66881790532540.87715651668311
0.5799.82722996716360.86974162799811
0.5899.98403029121730.852535698897235
0.59100.1378352967420.827543106585134
0.6100.2876383291770.797442536801466
0.61100.4328853336640.765260002251743
0.62100.5734828032120.733797769240735
0.63100.7097394501780.705699191465999
0.64100.8422535538890.682256107525617
0.65100.9717664841090.664020436966627
0.66101.0990078625550.650302033065412
0.67101.2245582638170.639828156279526
0.68101.3487512802950.630501365513002
0.69101.4716291679540.620434746383812
0.7101.5929568770740.608030637311099
0.71101.7122900580490.592103227529008
0.72101.8290853313880.572513204444248
0.73101.9428366618140.549617407769634
0.74102.053220019040.524587185517804
0.75102.160228738260.499297636163341
0.76102.2642828802030.47582745494396
0.77102.3662965855550.456978814526972
0.78102.4676880824540.445084953298406
0.79102.5703190363890.442391447516197
0.8102.6763555610140.449984432297362
0.81102.7880544171440.46770484124443
0.82102.9074949028250.493746246130616
0.83103.0362966387050.524663425632205
0.84103.1753791697510.556311453174536
0.85103.3248221841330.58417729688288
0.86103.4838681370460.604382776739344
0.87103.6510722429580.614540943719858
0.88103.8245589533830.61376692992913
0.89104.0023078815220.602789693312243
0.9104.1823806631730.583181651005307
0.91104.3630098671750.556536946551097
0.92104.5424793225030.523921053322699
0.93104.7187259261080.485596808983273
0.94104.8886565397950.440346373752609
0.95105.0474425007020.384609965283005
0.96105.1885218411570.313486623313509
0.97105.3051403435810.226910802367274
0.98105.3929760677390.139035054391093
0.99105.4511296334030.0807818763711774


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):
par3 <- '0.01'
par2 <- '0.99'
par1 <- '0.01'
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')