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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, 22 Jan 2016 08:23:26 +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/2016/Jan/22/t1453451013c482dlhrvqr1405.htm/, Retrieved Tue, 07 May 2024 18:27:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=290167, Retrieved Tue, 07 May 2024 18:27:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

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] [] [2016-01-22 08:23:26] [9d441e5437781f0cd4d5053adc3d2c6c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3.2
3.3
3
3.5
3.7
2.7
3.6
3.5
3.8
3.4
3.7
3.5
2.8
3.8
4.3
3.3
3.6
3.6
3.3
2.8

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'George Udny Yule' @ yule.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 & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290167&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]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290167&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290167&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'George Udny Yule' @ yule.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.705848301185780.0921164950535306
0.022.713956101757580.088867103539568
0.032.724117176373980.0859649327260863
0.042.736073462592030.0842607443057366
0.052.749567475172740.084599142054015
0.062.764377197631740.0875957951140275
0.072.780332838641480.0934305506097045
0.082.797318129183480.101810506959726
0.092.81526058568280.11210990493604
0.12.834115609399940.123564946407878
0.112.853848810704520.135419016177958
0.122.874419935734340.146986456154237
0.132.895770572097580.15769058104922
0.142.917816666290990.16707457691946
0.152.940445946830770.17479887112949
0.162.963519677799910.180638380540511
0.172.986877769561180.184484757313374
0.183.01034610997470.186322446904552
0.193.033744995150370.186227736528631
0.23.056897674381890.184345216161362
0.213.079638226052170.18087775284141
0.223.1018182072340.176068766708979
0.233.123311738809570.170186538467736
0.243.144018880902770.163512461594725
0.253.163867310332030.156327997574212
0.263.182812429703270.148904278746308
0.273.200836118404240.14149449012883
0.283.217944383592190.134325036380481
0.293.234164189985540.127589576625811
0.33.249539746789250.121444861360969
0.313.264128513899920.116002559915745
0.323.277997162416890.111334437315561
0.333.291217690361740.107457774693751
0.343.303863856521660.104350531844196
0.353.316008055933530.101948867914785
0.363.3277187216160.100160119100568
0.373.3390583002080.0988683923801479
0.383.350081815330370.0979477157403095
0.393.360836002642920.0972767718646118
0.43.37135897540010.0967381059077189
0.413.381680359292360.096231067332041
0.423.391821820778880.0956716637147585
0.433.401797904044590.0949959359840315
0.443.411617088009220.0941601253732396
0.453.421282976120370.0931388727601555
0.463.430795537409980.0919241928914083
0.473.440152326731910.0905218231240704
0.483.449349624328130.08895251644057
0.493.458383448893170.0872430894204748
0.53.46725041308570.0854296298049148
0.513.475948404960660.0835493958467697
0.523.484477092147950.0816395751479714
0.533.492838257017010.0797394798927651
0.543.50103597997380.0778807961976893
0.553.50907669410630.0760908757328849
0.563.516969137543780.0743921718828854
0.573.524724230286290.07280287219694
0.583.53235490027640.0713343917722075
0.593.539875879685030.0699951734914209
0.63.547303487449160.068791141768147
0.613.554655408772020.0677312706576029
0.623.561950477313960.0668160810578866
0.633.569208461844060.0660549840921628
0.643.576449856771070.0654516352861464
0.653.583695675692790.0650139904850942
0.663.590967249248470.0647452402900689
0.673.598286033389470.0646479156819309
0.683.605673441908060.0647188527888445
0.693.613150727861240.0649504124945722
0.73.620738952561840.0653309019839341
0.713.628459098175320.0658403866286255
0.723.636332400555860.0664578068647018
0.733.644381002224560.0671573064784353
0.743.652629049947670.0679149096616117
0.753.661104384462550.0687059084876933
0.763.669840986770270.0695123786919254
0.773.678882348648830.0703242190776355
0.783.688285914016010.071142460096482
0.793.698128678480070.0719868590213077
0.83.708513920004790.0729058572721012
0.813.7195788460290.0739870007347565
0.823.731502665617860.0753760725440069
0.833.744514220586120.0773032308445547
0.843.758897843106640.0801085111210587
0.853.774995579425710.0842617615897955
0.863.793203395014280.0903636799586182
0.873.813958565080810.0991035347217789
0.883.837715314508770.111180036081048
0.893.864906106968120.127204932466056
0.93.895887024530380.147616710720093
0.913.930867643223080.172615581806837
0.923.969828834064060.202118947295662
0.934.012435970842050.235712237411114
0.944.057959795301640.272607285545939
0.954.105221985393590.311613820536566
0.964.152586152404130.35114799072451
0.974.198015990809020.389300945536528
0.984.239218794667120.423980013456914
0.994.273882819948620.453125712149272

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.70584830118578 & 0.0921164950535306 \tabularnewline
0.02 & 2.71395610175758 & 0.088867103539568 \tabularnewline
0.03 & 2.72411717637398 & 0.0859649327260863 \tabularnewline
0.04 & 2.73607346259203 & 0.0842607443057366 \tabularnewline
0.05 & 2.74956747517274 & 0.084599142054015 \tabularnewline
0.06 & 2.76437719763174 & 0.0875957951140275 \tabularnewline
0.07 & 2.78033283864148 & 0.0934305506097045 \tabularnewline
0.08 & 2.79731812918348 & 0.101810506959726 \tabularnewline
0.09 & 2.8152605856828 & 0.11210990493604 \tabularnewline
0.1 & 2.83411560939994 & 0.123564946407878 \tabularnewline
0.11 & 2.85384881070452 & 0.135419016177958 \tabularnewline
0.12 & 2.87441993573434 & 0.146986456154237 \tabularnewline
0.13 & 2.89577057209758 & 0.15769058104922 \tabularnewline
0.14 & 2.91781666629099 & 0.16707457691946 \tabularnewline
0.15 & 2.94044594683077 & 0.17479887112949 \tabularnewline
0.16 & 2.96351967779991 & 0.180638380540511 \tabularnewline
0.17 & 2.98687776956118 & 0.184484757313374 \tabularnewline
0.18 & 3.0103461099747 & 0.186322446904552 \tabularnewline
0.19 & 3.03374499515037 & 0.186227736528631 \tabularnewline
0.2 & 3.05689767438189 & 0.184345216161362 \tabularnewline
0.21 & 3.07963822605217 & 0.18087775284141 \tabularnewline
0.22 & 3.101818207234 & 0.176068766708979 \tabularnewline
0.23 & 3.12331173880957 & 0.170186538467736 \tabularnewline
0.24 & 3.14401888090277 & 0.163512461594725 \tabularnewline
0.25 & 3.16386731033203 & 0.156327997574212 \tabularnewline
0.26 & 3.18281242970327 & 0.148904278746308 \tabularnewline
0.27 & 3.20083611840424 & 0.14149449012883 \tabularnewline
0.28 & 3.21794438359219 & 0.134325036380481 \tabularnewline
0.29 & 3.23416418998554 & 0.127589576625811 \tabularnewline
0.3 & 3.24953974678925 & 0.121444861360969 \tabularnewline
0.31 & 3.26412851389992 & 0.116002559915745 \tabularnewline
0.32 & 3.27799716241689 & 0.111334437315561 \tabularnewline
0.33 & 3.29121769036174 & 0.107457774693751 \tabularnewline
0.34 & 3.30386385652166 & 0.104350531844196 \tabularnewline
0.35 & 3.31600805593353 & 0.101948867914785 \tabularnewline
0.36 & 3.327718721616 & 0.100160119100568 \tabularnewline
0.37 & 3.339058300208 & 0.0988683923801479 \tabularnewline
0.38 & 3.35008181533037 & 0.0979477157403095 \tabularnewline
0.39 & 3.36083600264292 & 0.0972767718646118 \tabularnewline
0.4 & 3.3713589754001 & 0.0967381059077189 \tabularnewline
0.41 & 3.38168035929236 & 0.096231067332041 \tabularnewline
0.42 & 3.39182182077888 & 0.0956716637147585 \tabularnewline
0.43 & 3.40179790404459 & 0.0949959359840315 \tabularnewline
0.44 & 3.41161708800922 & 0.0941601253732396 \tabularnewline
0.45 & 3.42128297612037 & 0.0931388727601555 \tabularnewline
0.46 & 3.43079553740998 & 0.0919241928914083 \tabularnewline
0.47 & 3.44015232673191 & 0.0905218231240704 \tabularnewline
0.48 & 3.44934962432813 & 0.08895251644057 \tabularnewline
0.49 & 3.45838344889317 & 0.0872430894204748 \tabularnewline
0.5 & 3.4672504130857 & 0.0854296298049148 \tabularnewline
0.51 & 3.47594840496066 & 0.0835493958467697 \tabularnewline
0.52 & 3.48447709214795 & 0.0816395751479714 \tabularnewline
0.53 & 3.49283825701701 & 0.0797394798927651 \tabularnewline
0.54 & 3.5010359799738 & 0.0778807961976893 \tabularnewline
0.55 & 3.5090766941063 & 0.0760908757328849 \tabularnewline
0.56 & 3.51696913754378 & 0.0743921718828854 \tabularnewline
0.57 & 3.52472423028629 & 0.07280287219694 \tabularnewline
0.58 & 3.5323549002764 & 0.0713343917722075 \tabularnewline
0.59 & 3.53987587968503 & 0.0699951734914209 \tabularnewline
0.6 & 3.54730348744916 & 0.068791141768147 \tabularnewline
0.61 & 3.55465540877202 & 0.0677312706576029 \tabularnewline
0.62 & 3.56195047731396 & 0.0668160810578866 \tabularnewline
0.63 & 3.56920846184406 & 0.0660549840921628 \tabularnewline
0.64 & 3.57644985677107 & 0.0654516352861464 \tabularnewline
0.65 & 3.58369567569279 & 0.0650139904850942 \tabularnewline
0.66 & 3.59096724924847 & 0.0647452402900689 \tabularnewline
0.67 & 3.59828603338947 & 0.0646479156819309 \tabularnewline
0.68 & 3.60567344190806 & 0.0647188527888445 \tabularnewline
0.69 & 3.61315072786124 & 0.0649504124945722 \tabularnewline
0.7 & 3.62073895256184 & 0.0653309019839341 \tabularnewline
0.71 & 3.62845909817532 & 0.0658403866286255 \tabularnewline
0.72 & 3.63633240055586 & 0.0664578068647018 \tabularnewline
0.73 & 3.64438100222456 & 0.0671573064784353 \tabularnewline
0.74 & 3.65262904994767 & 0.0679149096616117 \tabularnewline
0.75 & 3.66110438446255 & 0.0687059084876933 \tabularnewline
0.76 & 3.66984098677027 & 0.0695123786919254 \tabularnewline
0.77 & 3.67888234864883 & 0.0703242190776355 \tabularnewline
0.78 & 3.68828591401601 & 0.071142460096482 \tabularnewline
0.79 & 3.69812867848007 & 0.0719868590213077 \tabularnewline
0.8 & 3.70851392000479 & 0.0729058572721012 \tabularnewline
0.81 & 3.719578846029 & 0.0739870007347565 \tabularnewline
0.82 & 3.73150266561786 & 0.0753760725440069 \tabularnewline
0.83 & 3.74451422058612 & 0.0773032308445547 \tabularnewline
0.84 & 3.75889784310664 & 0.0801085111210587 \tabularnewline
0.85 & 3.77499557942571 & 0.0842617615897955 \tabularnewline
0.86 & 3.79320339501428 & 0.0903636799586182 \tabularnewline
0.87 & 3.81395856508081 & 0.0991035347217789 \tabularnewline
0.88 & 3.83771531450877 & 0.111180036081048 \tabularnewline
0.89 & 3.86490610696812 & 0.127204932466056 \tabularnewline
0.9 & 3.89588702453038 & 0.147616710720093 \tabularnewline
0.91 & 3.93086764322308 & 0.172615581806837 \tabularnewline
0.92 & 3.96982883406406 & 0.202118947295662 \tabularnewline
0.93 & 4.01243597084205 & 0.235712237411114 \tabularnewline
0.94 & 4.05795979530164 & 0.272607285545939 \tabularnewline
0.95 & 4.10522198539359 & 0.311613820536566 \tabularnewline
0.96 & 4.15258615240413 & 0.35114799072451 \tabularnewline
0.97 & 4.19801599080902 & 0.389300945536528 \tabularnewline
0.98 & 4.23921879466712 & 0.423980013456914 \tabularnewline
0.99 & 4.27388281994862 & 0.453125712149272 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=290167&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]2.70584830118578[/C][C]0.0921164950535306[/C][/ROW]
[ROW][C]0.02[/C][C]2.71395610175758[/C][C]0.088867103539568[/C][/ROW]
[ROW][C]0.03[/C][C]2.72411717637398[/C][C]0.0859649327260863[/C][/ROW]
[ROW][C]0.04[/C][C]2.73607346259203[/C][C]0.0842607443057366[/C][/ROW]
[ROW][C]0.05[/C][C]2.74956747517274[/C][C]0.084599142054015[/C][/ROW]
[ROW][C]0.06[/C][C]2.76437719763174[/C][C]0.0875957951140275[/C][/ROW]
[ROW][C]0.07[/C][C]2.78033283864148[/C][C]0.0934305506097045[/C][/ROW]
[ROW][C]0.08[/C][C]2.79731812918348[/C][C]0.101810506959726[/C][/ROW]
[ROW][C]0.09[/C][C]2.8152605856828[/C][C]0.11210990493604[/C][/ROW]
[ROW][C]0.1[/C][C]2.83411560939994[/C][C]0.123564946407878[/C][/ROW]
[ROW][C]0.11[/C][C]2.85384881070452[/C][C]0.135419016177958[/C][/ROW]
[ROW][C]0.12[/C][C]2.87441993573434[/C][C]0.146986456154237[/C][/ROW]
[ROW][C]0.13[/C][C]2.89577057209758[/C][C]0.15769058104922[/C][/ROW]
[ROW][C]0.14[/C][C]2.91781666629099[/C][C]0.16707457691946[/C][/ROW]
[ROW][C]0.15[/C][C]2.94044594683077[/C][C]0.17479887112949[/C][/ROW]
[ROW][C]0.16[/C][C]2.96351967779991[/C][C]0.180638380540511[/C][/ROW]
[ROW][C]0.17[/C][C]2.98687776956118[/C][C]0.184484757313374[/C][/ROW]
[ROW][C]0.18[/C][C]3.0103461099747[/C][C]0.186322446904552[/C][/ROW]
[ROW][C]0.19[/C][C]3.03374499515037[/C][C]0.186227736528631[/C][/ROW]
[ROW][C]0.2[/C][C]3.05689767438189[/C][C]0.184345216161362[/C][/ROW]
[ROW][C]0.21[/C][C]3.07963822605217[/C][C]0.18087775284141[/C][/ROW]
[ROW][C]0.22[/C][C]3.101818207234[/C][C]0.176068766708979[/C][/ROW]
[ROW][C]0.23[/C][C]3.12331173880957[/C][C]0.170186538467736[/C][/ROW]
[ROW][C]0.24[/C][C]3.14401888090277[/C][C]0.163512461594725[/C][/ROW]
[ROW][C]0.25[/C][C]3.16386731033203[/C][C]0.156327997574212[/C][/ROW]
[ROW][C]0.26[/C][C]3.18281242970327[/C][C]0.148904278746308[/C][/ROW]
[ROW][C]0.27[/C][C]3.20083611840424[/C][C]0.14149449012883[/C][/ROW]
[ROW][C]0.28[/C][C]3.21794438359219[/C][C]0.134325036380481[/C][/ROW]
[ROW][C]0.29[/C][C]3.23416418998554[/C][C]0.127589576625811[/C][/ROW]
[ROW][C]0.3[/C][C]3.24953974678925[/C][C]0.121444861360969[/C][/ROW]
[ROW][C]0.31[/C][C]3.26412851389992[/C][C]0.116002559915745[/C][/ROW]
[ROW][C]0.32[/C][C]3.27799716241689[/C][C]0.111334437315561[/C][/ROW]
[ROW][C]0.33[/C][C]3.29121769036174[/C][C]0.107457774693751[/C][/ROW]
[ROW][C]0.34[/C][C]3.30386385652166[/C][C]0.104350531844196[/C][/ROW]
[ROW][C]0.35[/C][C]3.31600805593353[/C][C]0.101948867914785[/C][/ROW]
[ROW][C]0.36[/C][C]3.327718721616[/C][C]0.100160119100568[/C][/ROW]
[ROW][C]0.37[/C][C]3.339058300208[/C][C]0.0988683923801479[/C][/ROW]
[ROW][C]0.38[/C][C]3.35008181533037[/C][C]0.0979477157403095[/C][/ROW]
[ROW][C]0.39[/C][C]3.36083600264292[/C][C]0.0972767718646118[/C][/ROW]
[ROW][C]0.4[/C][C]3.3713589754001[/C][C]0.0967381059077189[/C][/ROW]
[ROW][C]0.41[/C][C]3.38168035929236[/C][C]0.096231067332041[/C][/ROW]
[ROW][C]0.42[/C][C]3.39182182077888[/C][C]0.0956716637147585[/C][/ROW]
[ROW][C]0.43[/C][C]3.40179790404459[/C][C]0.0949959359840315[/C][/ROW]
[ROW][C]0.44[/C][C]3.41161708800922[/C][C]0.0941601253732396[/C][/ROW]
[ROW][C]0.45[/C][C]3.42128297612037[/C][C]0.0931388727601555[/C][/ROW]
[ROW][C]0.46[/C][C]3.43079553740998[/C][C]0.0919241928914083[/C][/ROW]
[ROW][C]0.47[/C][C]3.44015232673191[/C][C]0.0905218231240704[/C][/ROW]
[ROW][C]0.48[/C][C]3.44934962432813[/C][C]0.08895251644057[/C][/ROW]
[ROW][C]0.49[/C][C]3.45838344889317[/C][C]0.0872430894204748[/C][/ROW]
[ROW][C]0.5[/C][C]3.4672504130857[/C][C]0.0854296298049148[/C][/ROW]
[ROW][C]0.51[/C][C]3.47594840496066[/C][C]0.0835493958467697[/C][/ROW]
[ROW][C]0.52[/C][C]3.48447709214795[/C][C]0.0816395751479714[/C][/ROW]
[ROW][C]0.53[/C][C]3.49283825701701[/C][C]0.0797394798927651[/C][/ROW]
[ROW][C]0.54[/C][C]3.5010359799738[/C][C]0.0778807961976893[/C][/ROW]
[ROW][C]0.55[/C][C]3.5090766941063[/C][C]0.0760908757328849[/C][/ROW]
[ROW][C]0.56[/C][C]3.51696913754378[/C][C]0.0743921718828854[/C][/ROW]
[ROW][C]0.57[/C][C]3.52472423028629[/C][C]0.07280287219694[/C][/ROW]
[ROW][C]0.58[/C][C]3.5323549002764[/C][C]0.0713343917722075[/C][/ROW]
[ROW][C]0.59[/C][C]3.53987587968503[/C][C]0.0699951734914209[/C][/ROW]
[ROW][C]0.6[/C][C]3.54730348744916[/C][C]0.068791141768147[/C][/ROW]
[ROW][C]0.61[/C][C]3.55465540877202[/C][C]0.0677312706576029[/C][/ROW]
[ROW][C]0.62[/C][C]3.56195047731396[/C][C]0.0668160810578866[/C][/ROW]
[ROW][C]0.63[/C][C]3.56920846184406[/C][C]0.0660549840921628[/C][/ROW]
[ROW][C]0.64[/C][C]3.57644985677107[/C][C]0.0654516352861464[/C][/ROW]
[ROW][C]0.65[/C][C]3.58369567569279[/C][C]0.0650139904850942[/C][/ROW]
[ROW][C]0.66[/C][C]3.59096724924847[/C][C]0.0647452402900689[/C][/ROW]
[ROW][C]0.67[/C][C]3.59828603338947[/C][C]0.0646479156819309[/C][/ROW]
[ROW][C]0.68[/C][C]3.60567344190806[/C][C]0.0647188527888445[/C][/ROW]
[ROW][C]0.69[/C][C]3.61315072786124[/C][C]0.0649504124945722[/C][/ROW]
[ROW][C]0.7[/C][C]3.62073895256184[/C][C]0.0653309019839341[/C][/ROW]
[ROW][C]0.71[/C][C]3.62845909817532[/C][C]0.0658403866286255[/C][/ROW]
[ROW][C]0.72[/C][C]3.63633240055586[/C][C]0.0664578068647018[/C][/ROW]
[ROW][C]0.73[/C][C]3.64438100222456[/C][C]0.0671573064784353[/C][/ROW]
[ROW][C]0.74[/C][C]3.65262904994767[/C][C]0.0679149096616117[/C][/ROW]
[ROW][C]0.75[/C][C]3.66110438446255[/C][C]0.0687059084876933[/C][/ROW]
[ROW][C]0.76[/C][C]3.66984098677027[/C][C]0.0695123786919254[/C][/ROW]
[ROW][C]0.77[/C][C]3.67888234864883[/C][C]0.0703242190776355[/C][/ROW]
[ROW][C]0.78[/C][C]3.68828591401601[/C][C]0.071142460096482[/C][/ROW]
[ROW][C]0.79[/C][C]3.69812867848007[/C][C]0.0719868590213077[/C][/ROW]
[ROW][C]0.8[/C][C]3.70851392000479[/C][C]0.0729058572721012[/C][/ROW]
[ROW][C]0.81[/C][C]3.719578846029[/C][C]0.0739870007347565[/C][/ROW]
[ROW][C]0.82[/C][C]3.73150266561786[/C][C]0.0753760725440069[/C][/ROW]
[ROW][C]0.83[/C][C]3.74451422058612[/C][C]0.0773032308445547[/C][/ROW]
[ROW][C]0.84[/C][C]3.75889784310664[/C][C]0.0801085111210587[/C][/ROW]
[ROW][C]0.85[/C][C]3.77499557942571[/C][C]0.0842617615897955[/C][/ROW]
[ROW][C]0.86[/C][C]3.79320339501428[/C][C]0.0903636799586182[/C][/ROW]
[ROW][C]0.87[/C][C]3.81395856508081[/C][C]0.0991035347217789[/C][/ROW]
[ROW][C]0.88[/C][C]3.83771531450877[/C][C]0.111180036081048[/C][/ROW]
[ROW][C]0.89[/C][C]3.86490610696812[/C][C]0.127204932466056[/C][/ROW]
[ROW][C]0.9[/C][C]3.89588702453038[/C][C]0.147616710720093[/C][/ROW]
[ROW][C]0.91[/C][C]3.93086764322308[/C][C]0.172615581806837[/C][/ROW]
[ROW][C]0.92[/C][C]3.96982883406406[/C][C]0.202118947295662[/C][/ROW]
[ROW][C]0.93[/C][C]4.01243597084205[/C][C]0.235712237411114[/C][/ROW]
[ROW][C]0.94[/C][C]4.05795979530164[/C][C]0.272607285545939[/C][/ROW]
[ROW][C]0.95[/C][C]4.10522198539359[/C][C]0.311613820536566[/C][/ROW]
[ROW][C]0.96[/C][C]4.15258615240413[/C][C]0.35114799072451[/C][/ROW]
[ROW][C]0.97[/C][C]4.19801599080902[/C][C]0.389300945536528[/C][/ROW]
[ROW][C]0.98[/C][C]4.23921879466712[/C][C]0.423980013456914[/C][/ROW]
[ROW][C]0.99[/C][C]4.27388281994862[/C][C]0.453125712149272[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=290167&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=290167&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
0.012.705848301185780.0921164950535306
0.022.713956101757580.088867103539568
0.032.724117176373980.0859649327260863
0.042.736073462592030.0842607443057366
0.052.749567475172740.084599142054015
0.062.764377197631740.0875957951140275
0.072.780332838641480.0934305506097045
0.082.797318129183480.101810506959726
0.092.81526058568280.11210990493604
0.12.834115609399940.123564946407878
0.112.853848810704520.135419016177958
0.122.874419935734340.146986456154237
0.132.895770572097580.15769058104922
0.142.917816666290990.16707457691946
0.152.940445946830770.17479887112949
0.162.963519677799910.180638380540511
0.172.986877769561180.184484757313374
0.183.01034610997470.186322446904552
0.193.033744995150370.186227736528631
0.23.056897674381890.184345216161362
0.213.079638226052170.18087775284141
0.223.1018182072340.176068766708979
0.233.123311738809570.170186538467736
0.243.144018880902770.163512461594725
0.253.163867310332030.156327997574212
0.263.182812429703270.148904278746308
0.273.200836118404240.14149449012883
0.283.217944383592190.134325036380481
0.293.234164189985540.127589576625811
0.33.249539746789250.121444861360969
0.313.264128513899920.116002559915745
0.323.277997162416890.111334437315561
0.333.291217690361740.107457774693751
0.343.303863856521660.104350531844196
0.353.316008055933530.101948867914785
0.363.3277187216160.100160119100568
0.373.3390583002080.0988683923801479
0.383.350081815330370.0979477157403095
0.393.360836002642920.0972767718646118
0.43.37135897540010.0967381059077189
0.413.381680359292360.096231067332041
0.423.391821820778880.0956716637147585
0.433.401797904044590.0949959359840315
0.443.411617088009220.0941601253732396
0.453.421282976120370.0931388727601555
0.463.430795537409980.0919241928914083
0.473.440152326731910.0905218231240704
0.483.449349624328130.08895251644057
0.493.458383448893170.0872430894204748
0.53.46725041308570.0854296298049148
0.513.475948404960660.0835493958467697
0.523.484477092147950.0816395751479714
0.533.492838257017010.0797394798927651
0.543.50103597997380.0778807961976893
0.553.50907669410630.0760908757328849
0.563.516969137543780.0743921718828854
0.573.524724230286290.07280287219694
0.583.53235490027640.0713343917722075
0.593.539875879685030.0699951734914209
0.63.547303487449160.068791141768147
0.613.554655408772020.0677312706576029
0.623.561950477313960.0668160810578866
0.633.569208461844060.0660549840921628
0.643.576449856771070.0654516352861464
0.653.583695675692790.0650139904850942
0.663.590967249248470.0647452402900689
0.673.598286033389470.0646479156819309
0.683.605673441908060.0647188527888445
0.693.613150727861240.0649504124945722
0.73.620738952561840.0653309019839341
0.713.628459098175320.0658403866286255
0.723.636332400555860.0664578068647018
0.733.644381002224560.0671573064784353
0.743.652629049947670.0679149096616117
0.753.661104384462550.0687059084876933
0.763.669840986770270.0695123786919254
0.773.678882348648830.0703242190776355
0.783.688285914016010.071142460096482
0.793.698128678480070.0719868590213077
0.83.708513920004790.0729058572721012
0.813.7195788460290.0739870007347565
0.823.731502665617860.0753760725440069
0.833.744514220586120.0773032308445547
0.843.758897843106640.0801085111210587
0.853.774995579425710.0842617615897955
0.863.793203395014280.0903636799586182
0.873.813958565080810.0991035347217789
0.883.837715314508770.111180036081048
0.893.864906106968120.127204932466056
0.93.895887024530380.147616710720093
0.913.930867643223080.172615581806837
0.923.969828834064060.202118947295662
0.934.012435970842050.235712237411114
0.944.057959795301640.272607285545939
0.954.105221985393590.311613820536566
0.964.152586152404130.35114799072451
0.974.198015990809020.389300945536528
0.984.239218794667120.423980013456914
0.994.273882819948620.453125712149272


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
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')