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, 06 Oct 2016 19:36:35 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Oct/06/t1475779081xjsluvsj6z8724a.htm/, Retrieved Sat, 04 May 2024 19:21:53 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 04 May 2024 19:21:53 +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 
102.54
101.29
101.49
101.71
101.98
102.11
102.11
103.13
103.43
103.8
103.99
104.03
104.03
102.58
102.65
102.81
102.98
103.12
103.12
104.33
104.41
104.66
104.81
104.9
100.15
98.74
98.74
98.96
99.34
99.4
99.5
100.5
100.77
101.08
101.39
101.43
101.43
101.29
101.33
101.15
101.25
101.13
101.07
101.33
101.61
101.29
101.39
101.46
101.81
101.78
101.93
102.01
102.03
102.14
101.81
101.52
101.38
101.5
101.65
101.64

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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.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]'Sir Maurice George Kendall' @ kendall.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'Sir Maurice George Kendall' @ kendall.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0198.76078933842040.0667042751746658
0.0298.81110267059150.159848432077289
0.0398.89318325008510.247866801204457
0.0499.00206129384760.316800472376534
0.0599.13010117647890.370361129730409
0.0699.27086757634530.419483040240356
0.0799.42053200395230.471323159189539
0.0899.57720182586940.524534109196614
0.0999.73944789353380.571808395629689
0.199.90512523432430.604513207128523
0.11100.0709692768550.616996922204077
0.12100.2329053781270.607293212312725
0.13100.3867346770610.577652523949111
0.14100.5288385826580.532538184740691
0.15100.656666784770.477717065269182
0.16100.7689275872550.418810822836406
0.17100.8655157000370.360633034093125
0.18100.9472698114070.306520749851794
0.19101.0156597217280.25849324315672
0.2101.0724814792640.217657249179185
0.21101.1196080030880.183924647225974
0.22101.1588142824020.156653649294791
0.23101.1916757303630.135049796214404
0.24101.2195264309160.118058485952458
0.25101.2434594060380.104697215683895
0.26101.2643514795790.0943280637279406
0.27101.2828986841640.0863372431511683
0.28101.2996526615880.0803780410462348
0.29101.3150528371250.0759774503077844
0.3101.3294525178160.0729615455865652
0.31101.3431391760220.0711364693453917
0.32101.356350119370.0702488389009128
0.33101.3692848365230.070222925031964
0.34101.382114939750.0709018572774623
0.35101.3949921445510.0723324121503105
0.36101.4080543597130.0744764742556168
0.37101.4214298025630.0771807775261946
0.38101.4352390941960.08062308971849
0.39101.4495954583870.0848256973410171
0.4101.4646033589990.0894313022731339
0.41101.4803560896440.0946267033754996
0.42101.4969329292130.100236612921223
0.43101.5143964796010.106080581730756
0.44101.5327907139780.112130550961372
0.45101.5521401085440.118126026328634
0.46101.572450041260.124043727256127
0.47101.5937084546910.129839541088703
0.48101.6158886323390.135234786911113
0.49101.6389528561920.140252819279205
0.5101.6628567116970.145048670322436
0.51101.6875538799230.149433914235476
0.52101.713001379330.153532181030592
0.53101.7391653458280.157259569298349
0.54101.7660275126190.160842739608138
0.55101.7935925143820.164300996472284
0.56101.8218959547510.16797737827672
0.57101.8510128370840.171954607138301
0.58101.8810655076080.176590721794412
0.59101.9122297885590.182292016977063
0.6101.9447376170820.189214653161628
0.61101.9788743983770.198069798343394
0.62102.0149695513990.208779298650497
0.63102.0533794329660.221805606620434
0.64102.0944629369320.236802033588783
0.65102.1385514381370.253550070163479
0.66102.1859161538340.271549816896934
0.67102.2367371495850.290086761498454
0.68102.2910788585380.308244984142953
0.69102.3488769234010.325087984089621
0.7102.4099403295060.339986575065571
0.71102.4739712032660.352122776230542
0.72102.5406024053250.361300621166417
0.73102.6094502904840.367376588678784
0.74102.6801769080790.370740673291829
0.75102.7525527411570.372157384771001
0.76102.826508306190.372658435852513
0.77102.9021613588580.373493513225484
0.78102.9798071993360.37582733619088
0.79103.0598638453430.380669856932115
0.8103.1427723835610.388141992181208
0.81103.2288651523440.397436885163906
0.82103.3182282134350.406948200037987
0.83103.4105955000910.414306000040025
0.84103.5053145909430.416995111293311
0.85103.6014135826660.413092945240921
0.86103.6977738598130.401708826582413
0.87103.7933792856220.383655728525864
0.88103.8875790220040.361210472487752
0.89103.9802822542840.337766590561928
0.9104.0720088111010.31675950445885
0.91104.1637510731170.300481023815084
0.92104.2566500357760.289156625731228
0.93104.3515376242650.280606035788452
0.94104.4484380419180.271063740256063
0.95104.5461446173770.255907356370714
0.96104.6419692138110.23073330439643
0.97104.7316581375810.193491043159667
0.98104.8093531446410.148143449691385
0.99104.8677701831110.10801715909558

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 98.7607893384204 & 0.0667042751746658 \tabularnewline
0.02 & 98.8111026705915 & 0.159848432077289 \tabularnewline
0.03 & 98.8931832500851 & 0.247866801204457 \tabularnewline
0.04 & 99.0020612938476 & 0.316800472376534 \tabularnewline
0.05 & 99.1301011764789 & 0.370361129730409 \tabularnewline
0.06 & 99.2708675763453 & 0.419483040240356 \tabularnewline
0.07 & 99.4205320039523 & 0.471323159189539 \tabularnewline
0.08 & 99.5772018258694 & 0.524534109196614 \tabularnewline
0.09 & 99.7394478935338 & 0.571808395629689 \tabularnewline
0.1 & 99.9051252343243 & 0.604513207128523 \tabularnewline
0.11 & 100.070969276855 & 0.616996922204077 \tabularnewline
0.12 & 100.232905378127 & 0.607293212312725 \tabularnewline
0.13 & 100.386734677061 & 0.577652523949111 \tabularnewline
0.14 & 100.528838582658 & 0.532538184740691 \tabularnewline
0.15 & 100.65666678477 & 0.477717065269182 \tabularnewline
0.16 & 100.768927587255 & 0.418810822836406 \tabularnewline
0.17 & 100.865515700037 & 0.360633034093125 \tabularnewline
0.18 & 100.947269811407 & 0.306520749851794 \tabularnewline
0.19 & 101.015659721728 & 0.25849324315672 \tabularnewline
0.2 & 101.072481479264 & 0.217657249179185 \tabularnewline
0.21 & 101.119608003088 & 0.183924647225974 \tabularnewline
0.22 & 101.158814282402 & 0.156653649294791 \tabularnewline
0.23 & 101.191675730363 & 0.135049796214404 \tabularnewline
0.24 & 101.219526430916 & 0.118058485952458 \tabularnewline
0.25 & 101.243459406038 & 0.104697215683895 \tabularnewline
0.26 & 101.264351479579 & 0.0943280637279406 \tabularnewline
0.27 & 101.282898684164 & 0.0863372431511683 \tabularnewline
0.28 & 101.299652661588 & 0.0803780410462348 \tabularnewline
0.29 & 101.315052837125 & 0.0759774503077844 \tabularnewline
0.3 & 101.329452517816 & 0.0729615455865652 \tabularnewline
0.31 & 101.343139176022 & 0.0711364693453917 \tabularnewline
0.32 & 101.35635011937 & 0.0702488389009128 \tabularnewline
0.33 & 101.369284836523 & 0.070222925031964 \tabularnewline
0.34 & 101.38211493975 & 0.0709018572774623 \tabularnewline
0.35 & 101.394992144551 & 0.0723324121503105 \tabularnewline
0.36 & 101.408054359713 & 0.0744764742556168 \tabularnewline
0.37 & 101.421429802563 & 0.0771807775261946 \tabularnewline
0.38 & 101.435239094196 & 0.08062308971849 \tabularnewline
0.39 & 101.449595458387 & 0.0848256973410171 \tabularnewline
0.4 & 101.464603358999 & 0.0894313022731339 \tabularnewline
0.41 & 101.480356089644 & 0.0946267033754996 \tabularnewline
0.42 & 101.496932929213 & 0.100236612921223 \tabularnewline
0.43 & 101.514396479601 & 0.106080581730756 \tabularnewline
0.44 & 101.532790713978 & 0.112130550961372 \tabularnewline
0.45 & 101.552140108544 & 0.118126026328634 \tabularnewline
0.46 & 101.57245004126 & 0.124043727256127 \tabularnewline
0.47 & 101.593708454691 & 0.129839541088703 \tabularnewline
0.48 & 101.615888632339 & 0.135234786911113 \tabularnewline
0.49 & 101.638952856192 & 0.140252819279205 \tabularnewline
0.5 & 101.662856711697 & 0.145048670322436 \tabularnewline
0.51 & 101.687553879923 & 0.149433914235476 \tabularnewline
0.52 & 101.71300137933 & 0.153532181030592 \tabularnewline
0.53 & 101.739165345828 & 0.157259569298349 \tabularnewline
0.54 & 101.766027512619 & 0.160842739608138 \tabularnewline
0.55 & 101.793592514382 & 0.164300996472284 \tabularnewline
0.56 & 101.821895954751 & 0.16797737827672 \tabularnewline
0.57 & 101.851012837084 & 0.171954607138301 \tabularnewline
0.58 & 101.881065507608 & 0.176590721794412 \tabularnewline
0.59 & 101.912229788559 & 0.182292016977063 \tabularnewline
0.6 & 101.944737617082 & 0.189214653161628 \tabularnewline
0.61 & 101.978874398377 & 0.198069798343394 \tabularnewline
0.62 & 102.014969551399 & 0.208779298650497 \tabularnewline
0.63 & 102.053379432966 & 0.221805606620434 \tabularnewline
0.64 & 102.094462936932 & 0.236802033588783 \tabularnewline
0.65 & 102.138551438137 & 0.253550070163479 \tabularnewline
0.66 & 102.185916153834 & 0.271549816896934 \tabularnewline
0.67 & 102.236737149585 & 0.290086761498454 \tabularnewline
0.68 & 102.291078858538 & 0.308244984142953 \tabularnewline
0.69 & 102.348876923401 & 0.325087984089621 \tabularnewline
0.7 & 102.409940329506 & 0.339986575065571 \tabularnewline
0.71 & 102.473971203266 & 0.352122776230542 \tabularnewline
0.72 & 102.540602405325 & 0.361300621166417 \tabularnewline
0.73 & 102.609450290484 & 0.367376588678784 \tabularnewline
0.74 & 102.680176908079 & 0.370740673291829 \tabularnewline
0.75 & 102.752552741157 & 0.372157384771001 \tabularnewline
0.76 & 102.82650830619 & 0.372658435852513 \tabularnewline
0.77 & 102.902161358858 & 0.373493513225484 \tabularnewline
0.78 & 102.979807199336 & 0.37582733619088 \tabularnewline
0.79 & 103.059863845343 & 0.380669856932115 \tabularnewline
0.8 & 103.142772383561 & 0.388141992181208 \tabularnewline
0.81 & 103.228865152344 & 0.397436885163906 \tabularnewline
0.82 & 103.318228213435 & 0.406948200037987 \tabularnewline
0.83 & 103.410595500091 & 0.414306000040025 \tabularnewline
0.84 & 103.505314590943 & 0.416995111293311 \tabularnewline
0.85 & 103.601413582666 & 0.413092945240921 \tabularnewline
0.86 & 103.697773859813 & 0.401708826582413 \tabularnewline
0.87 & 103.793379285622 & 0.383655728525864 \tabularnewline
0.88 & 103.887579022004 & 0.361210472487752 \tabularnewline
0.89 & 103.980282254284 & 0.337766590561928 \tabularnewline
0.9 & 104.072008811101 & 0.31675950445885 \tabularnewline
0.91 & 104.163751073117 & 0.300481023815084 \tabularnewline
0.92 & 104.256650035776 & 0.289156625731228 \tabularnewline
0.93 & 104.351537624265 & 0.280606035788452 \tabularnewline
0.94 & 104.448438041918 & 0.271063740256063 \tabularnewline
0.95 & 104.546144617377 & 0.255907356370714 \tabularnewline
0.96 & 104.641969213811 & 0.23073330439643 \tabularnewline
0.97 & 104.731658137581 & 0.193491043159667 \tabularnewline
0.98 & 104.809353144641 & 0.148143449691385 \tabularnewline
0.99 & 104.867770183111 & 0.10801715909558 \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]98.7607893384204[/C][C]0.0667042751746658[/C][/ROW]
[ROW][C]0.02[/C][C]98.8111026705915[/C][C]0.159848432077289[/C][/ROW]
[ROW][C]0.03[/C][C]98.8931832500851[/C][C]0.247866801204457[/C][/ROW]
[ROW][C]0.04[/C][C]99.0020612938476[/C][C]0.316800472376534[/C][/ROW]
[ROW][C]0.05[/C][C]99.1301011764789[/C][C]0.370361129730409[/C][/ROW]
[ROW][C]0.06[/C][C]99.2708675763453[/C][C]0.419483040240356[/C][/ROW]
[ROW][C]0.07[/C][C]99.4205320039523[/C][C]0.471323159189539[/C][/ROW]
[ROW][C]0.08[/C][C]99.5772018258694[/C][C]0.524534109196614[/C][/ROW]
[ROW][C]0.09[/C][C]99.7394478935338[/C][C]0.571808395629689[/C][/ROW]
[ROW][C]0.1[/C][C]99.9051252343243[/C][C]0.604513207128523[/C][/ROW]
[ROW][C]0.11[/C][C]100.070969276855[/C][C]0.616996922204077[/C][/ROW]
[ROW][C]0.12[/C][C]100.232905378127[/C][C]0.607293212312725[/C][/ROW]
[ROW][C]0.13[/C][C]100.386734677061[/C][C]0.577652523949111[/C][/ROW]
[ROW][C]0.14[/C][C]100.528838582658[/C][C]0.532538184740691[/C][/ROW]
[ROW][C]0.15[/C][C]100.65666678477[/C][C]0.477717065269182[/C][/ROW]
[ROW][C]0.16[/C][C]100.768927587255[/C][C]0.418810822836406[/C][/ROW]
[ROW][C]0.17[/C][C]100.865515700037[/C][C]0.360633034093125[/C][/ROW]
[ROW][C]0.18[/C][C]100.947269811407[/C][C]0.306520749851794[/C][/ROW]
[ROW][C]0.19[/C][C]101.015659721728[/C][C]0.25849324315672[/C][/ROW]
[ROW][C]0.2[/C][C]101.072481479264[/C][C]0.217657249179185[/C][/ROW]
[ROW][C]0.21[/C][C]101.119608003088[/C][C]0.183924647225974[/C][/ROW]
[ROW][C]0.22[/C][C]101.158814282402[/C][C]0.156653649294791[/C][/ROW]
[ROW][C]0.23[/C][C]101.191675730363[/C][C]0.135049796214404[/C][/ROW]
[ROW][C]0.24[/C][C]101.219526430916[/C][C]0.118058485952458[/C][/ROW]
[ROW][C]0.25[/C][C]101.243459406038[/C][C]0.104697215683895[/C][/ROW]
[ROW][C]0.26[/C][C]101.264351479579[/C][C]0.0943280637279406[/C][/ROW]
[ROW][C]0.27[/C][C]101.282898684164[/C][C]0.0863372431511683[/C][/ROW]
[ROW][C]0.28[/C][C]101.299652661588[/C][C]0.0803780410462348[/C][/ROW]
[ROW][C]0.29[/C][C]101.315052837125[/C][C]0.0759774503077844[/C][/ROW]
[ROW][C]0.3[/C][C]101.329452517816[/C][C]0.0729615455865652[/C][/ROW]
[ROW][C]0.31[/C][C]101.343139176022[/C][C]0.0711364693453917[/C][/ROW]
[ROW][C]0.32[/C][C]101.35635011937[/C][C]0.0702488389009128[/C][/ROW]
[ROW][C]0.33[/C][C]101.369284836523[/C][C]0.070222925031964[/C][/ROW]
[ROW][C]0.34[/C][C]101.38211493975[/C][C]0.0709018572774623[/C][/ROW]
[ROW][C]0.35[/C][C]101.394992144551[/C][C]0.0723324121503105[/C][/ROW]
[ROW][C]0.36[/C][C]101.408054359713[/C][C]0.0744764742556168[/C][/ROW]
[ROW][C]0.37[/C][C]101.421429802563[/C][C]0.0771807775261946[/C][/ROW]
[ROW][C]0.38[/C][C]101.435239094196[/C][C]0.08062308971849[/C][/ROW]
[ROW][C]0.39[/C][C]101.449595458387[/C][C]0.0848256973410171[/C][/ROW]
[ROW][C]0.4[/C][C]101.464603358999[/C][C]0.0894313022731339[/C][/ROW]
[ROW][C]0.41[/C][C]101.480356089644[/C][C]0.0946267033754996[/C][/ROW]
[ROW][C]0.42[/C][C]101.496932929213[/C][C]0.100236612921223[/C][/ROW]
[ROW][C]0.43[/C][C]101.514396479601[/C][C]0.106080581730756[/C][/ROW]
[ROW][C]0.44[/C][C]101.532790713978[/C][C]0.112130550961372[/C][/ROW]
[ROW][C]0.45[/C][C]101.552140108544[/C][C]0.118126026328634[/C][/ROW]
[ROW][C]0.46[/C][C]101.57245004126[/C][C]0.124043727256127[/C][/ROW]
[ROW][C]0.47[/C][C]101.593708454691[/C][C]0.129839541088703[/C][/ROW]
[ROW][C]0.48[/C][C]101.615888632339[/C][C]0.135234786911113[/C][/ROW]
[ROW][C]0.49[/C][C]101.638952856192[/C][C]0.140252819279205[/C][/ROW]
[ROW][C]0.5[/C][C]101.662856711697[/C][C]0.145048670322436[/C][/ROW]
[ROW][C]0.51[/C][C]101.687553879923[/C][C]0.149433914235476[/C][/ROW]
[ROW][C]0.52[/C][C]101.71300137933[/C][C]0.153532181030592[/C][/ROW]
[ROW][C]0.53[/C][C]101.739165345828[/C][C]0.157259569298349[/C][/ROW]
[ROW][C]0.54[/C][C]101.766027512619[/C][C]0.160842739608138[/C][/ROW]
[ROW][C]0.55[/C][C]101.793592514382[/C][C]0.164300996472284[/C][/ROW]
[ROW][C]0.56[/C][C]101.821895954751[/C][C]0.16797737827672[/C][/ROW]
[ROW][C]0.57[/C][C]101.851012837084[/C][C]0.171954607138301[/C][/ROW]
[ROW][C]0.58[/C][C]101.881065507608[/C][C]0.176590721794412[/C][/ROW]
[ROW][C]0.59[/C][C]101.912229788559[/C][C]0.182292016977063[/C][/ROW]
[ROW][C]0.6[/C][C]101.944737617082[/C][C]0.189214653161628[/C][/ROW]
[ROW][C]0.61[/C][C]101.978874398377[/C][C]0.198069798343394[/C][/ROW]
[ROW][C]0.62[/C][C]102.014969551399[/C][C]0.208779298650497[/C][/ROW]
[ROW][C]0.63[/C][C]102.053379432966[/C][C]0.221805606620434[/C][/ROW]
[ROW][C]0.64[/C][C]102.094462936932[/C][C]0.236802033588783[/C][/ROW]
[ROW][C]0.65[/C][C]102.138551438137[/C][C]0.253550070163479[/C][/ROW]
[ROW][C]0.66[/C][C]102.185916153834[/C][C]0.271549816896934[/C][/ROW]
[ROW][C]0.67[/C][C]102.236737149585[/C][C]0.290086761498454[/C][/ROW]
[ROW][C]0.68[/C][C]102.291078858538[/C][C]0.308244984142953[/C][/ROW]
[ROW][C]0.69[/C][C]102.348876923401[/C][C]0.325087984089621[/C][/ROW]
[ROW][C]0.7[/C][C]102.409940329506[/C][C]0.339986575065571[/C][/ROW]
[ROW][C]0.71[/C][C]102.473971203266[/C][C]0.352122776230542[/C][/ROW]
[ROW][C]0.72[/C][C]102.540602405325[/C][C]0.361300621166417[/C][/ROW]
[ROW][C]0.73[/C][C]102.609450290484[/C][C]0.367376588678784[/C][/ROW]
[ROW][C]0.74[/C][C]102.680176908079[/C][C]0.370740673291829[/C][/ROW]
[ROW][C]0.75[/C][C]102.752552741157[/C][C]0.372157384771001[/C][/ROW]
[ROW][C]0.76[/C][C]102.82650830619[/C][C]0.372658435852513[/C][/ROW]
[ROW][C]0.77[/C][C]102.902161358858[/C][C]0.373493513225484[/C][/ROW]
[ROW][C]0.78[/C][C]102.979807199336[/C][C]0.37582733619088[/C][/ROW]
[ROW][C]0.79[/C][C]103.059863845343[/C][C]0.380669856932115[/C][/ROW]
[ROW][C]0.8[/C][C]103.142772383561[/C][C]0.388141992181208[/C][/ROW]
[ROW][C]0.81[/C][C]103.228865152344[/C][C]0.397436885163906[/C][/ROW]
[ROW][C]0.82[/C][C]103.318228213435[/C][C]0.406948200037987[/C][/ROW]
[ROW][C]0.83[/C][C]103.410595500091[/C][C]0.414306000040025[/C][/ROW]
[ROW][C]0.84[/C][C]103.505314590943[/C][C]0.416995111293311[/C][/ROW]
[ROW][C]0.85[/C][C]103.601413582666[/C][C]0.413092945240921[/C][/ROW]
[ROW][C]0.86[/C][C]103.697773859813[/C][C]0.401708826582413[/C][/ROW]
[ROW][C]0.87[/C][C]103.793379285622[/C][C]0.383655728525864[/C][/ROW]
[ROW][C]0.88[/C][C]103.887579022004[/C][C]0.361210472487752[/C][/ROW]
[ROW][C]0.89[/C][C]103.980282254284[/C][C]0.337766590561928[/C][/ROW]
[ROW][C]0.9[/C][C]104.072008811101[/C][C]0.31675950445885[/C][/ROW]
[ROW][C]0.91[/C][C]104.163751073117[/C][C]0.300481023815084[/C][/ROW]
[ROW][C]0.92[/C][C]104.256650035776[/C][C]0.289156625731228[/C][/ROW]
[ROW][C]0.93[/C][C]104.351537624265[/C][C]0.280606035788452[/C][/ROW]
[ROW][C]0.94[/C][C]104.448438041918[/C][C]0.271063740256063[/C][/ROW]
[ROW][C]0.95[/C][C]104.546144617377[/C][C]0.255907356370714[/C][/ROW]
[ROW][C]0.96[/C][C]104.641969213811[/C][C]0.23073330439643[/C][/ROW]
[ROW][C]0.97[/C][C]104.731658137581[/C][C]0.193491043159667[/C][/ROW]
[ROW][C]0.98[/C][C]104.809353144641[/C][C]0.148143449691385[/C][/ROW]
[ROW][C]0.99[/C][C]104.867770183111[/C][C]0.10801715909558[/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
0.0198.76078933842040.0667042751746658
0.0298.81110267059150.159848432077289
0.0398.89318325008510.247866801204457
0.0499.00206129384760.316800472376534
0.0599.13010117647890.370361129730409
0.0699.27086757634530.419483040240356
0.0799.42053200395230.471323159189539
0.0899.57720182586940.524534109196614
0.0999.73944789353380.571808395629689
0.199.90512523432430.604513207128523
0.11100.0709692768550.616996922204077
0.12100.2329053781270.607293212312725
0.13100.3867346770610.577652523949111
0.14100.5288385826580.532538184740691
0.15100.656666784770.477717065269182
0.16100.7689275872550.418810822836406
0.17100.8655157000370.360633034093125
0.18100.9472698114070.306520749851794
0.19101.0156597217280.25849324315672
0.2101.0724814792640.217657249179185
0.21101.1196080030880.183924647225974
0.22101.1588142824020.156653649294791
0.23101.1916757303630.135049796214404
0.24101.2195264309160.118058485952458
0.25101.2434594060380.104697215683895
0.26101.2643514795790.0943280637279406
0.27101.2828986841640.0863372431511683
0.28101.2996526615880.0803780410462348
0.29101.3150528371250.0759774503077844
0.3101.3294525178160.0729615455865652
0.31101.3431391760220.0711364693453917
0.32101.356350119370.0702488389009128
0.33101.3692848365230.070222925031964
0.34101.382114939750.0709018572774623
0.35101.3949921445510.0723324121503105
0.36101.4080543597130.0744764742556168
0.37101.4214298025630.0771807775261946
0.38101.4352390941960.08062308971849
0.39101.4495954583870.0848256973410171
0.4101.4646033589990.0894313022731339
0.41101.4803560896440.0946267033754996
0.42101.4969329292130.100236612921223
0.43101.5143964796010.106080581730756
0.44101.5327907139780.112130550961372
0.45101.5521401085440.118126026328634
0.46101.572450041260.124043727256127
0.47101.5937084546910.129839541088703
0.48101.6158886323390.135234786911113
0.49101.6389528561920.140252819279205
0.5101.6628567116970.145048670322436
0.51101.6875538799230.149433914235476
0.52101.713001379330.153532181030592
0.53101.7391653458280.157259569298349
0.54101.7660275126190.160842739608138
0.55101.7935925143820.164300996472284
0.56101.8218959547510.16797737827672
0.57101.8510128370840.171954607138301
0.58101.8810655076080.176590721794412
0.59101.9122297885590.182292016977063
0.6101.9447376170820.189214653161628
0.61101.9788743983770.198069798343394
0.62102.0149695513990.208779298650497
0.63102.0533794329660.221805606620434
0.64102.0944629369320.236802033588783
0.65102.1385514381370.253550070163479
0.66102.1859161538340.271549816896934
0.67102.2367371495850.290086761498454
0.68102.2910788585380.308244984142953
0.69102.3488769234010.325087984089621
0.7102.4099403295060.339986575065571
0.71102.4739712032660.352122776230542
0.72102.5406024053250.361300621166417
0.73102.6094502904840.367376588678784
0.74102.6801769080790.370740673291829
0.75102.7525527411570.372157384771001
0.76102.826508306190.372658435852513
0.77102.9021613588580.373493513225484
0.78102.9798071993360.37582733619088
0.79103.0598638453430.380669856932115
0.8103.1427723835610.388141992181208
0.81103.2288651523440.397436885163906
0.82103.3182282134350.406948200037987
0.83103.4105955000910.414306000040025
0.84103.5053145909430.416995111293311
0.85103.6014135826660.413092945240921
0.86103.6977738598130.401708826582413
0.87103.7933792856220.383655728525864
0.88103.8875790220040.361210472487752
0.89103.9802822542840.337766590561928
0.9104.0720088111010.31675950445885
0.91104.1637510731170.300481023815084
0.92104.2566500357760.289156625731228
0.93104.3515376242650.280606035788452
0.94104.4484380419180.271063740256063
0.95104.5461446173770.255907356370714
0.96104.6419692138110.23073330439643
0.97104.7316581375810.193491043159667
0.98104.8093531446410.148143449691385
0.99104.8677701831110.10801715909558


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')