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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 computationSun, 27 May 2012 08:03:36 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/27/t13381202638ng2rllvvpge6nv.htm/, Retrieved Wed, 08 May 2024 16:31:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=167685, Retrieved Wed, 08 May 2024 16:31:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact113

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] [HD Percentielen J...] [2012-05-27 12:03:36] [be417f314f65e9d8a38b0902dfa3287c] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.26
1.26
1.28
1.34
1.39
1.47
1.57
1.63
1.72
1.43
1.35
1.41
1.44
1.43
1.43
1.42
1.45
1.51
1.48
1.48
1.45
1.38
1.46
1.45
1.41
1.45
1.47
1.47
1.53
1.56
1.66
1.79
1.78
1.46
1.41
1.43
1.43
1.45
1.35
1.35
1.29
1.29
1.26
1.3
1.3
1.16
1.24
1.15
1.21
1.22
1.17
1.13
1.15
1.2
1.23
1.25
1.38
1.28
1.26
1.25

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=167685&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=167685&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167685&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
0.011.134269114827330.0164709510276541
0.021.140427490922610.0130694850355952
0.031.146947749614450.0119971624491691
0.041.153321368069690.0139522478864832
0.051.159752115915230.0175155832381803
0.061.166565207612810.0212406848860115
0.071.173890709327540.0242893885369026
0.081.181631519886060.0262758230104397
0.091.189558025415920.0271414813385826
0.11.197412285548490.0270510470486304
0.111.204976133171870.0262714644165947
0.121.212099716745530.0250757679702005
0.131.218702216512560.0236816502353709
0.141.224758303815570.0222294739841693
0.151.230280852966220.0208004580243945
0.161.235306148133680.0194419817700317
0.171.239883963133120.0181970976321277
0.181.24407220241580.0171123032100359
0.191.247934485309420.016245003921491
0.21.251538896265880.0156510098820716
0.211.254956643603680.015377727548716
0.221.258260097376630.0154480869043449
0.231.261520284042720.0158607450542446
0.241.264804250342130.0165894909088207
0.251.26817276472140.0175920817494864
0.261.271678681196290.0188235578236346
0.271.275366058588350.0202417681545172
0.281.279269910501160.0218059509832006
0.291.283416329307550.0234805222071715
0.31.287822709488020.0252277101634348
0.311.292497879140420.0270054241828166
0.321.297442089924570.0287664541326388
0.331.302646958446250.0304544295269995
0.341.308095545502690.0320135493906872
0.351.313762774599030.0333886468172388
0.361.319616327325820.034536489687423
0.371.325618036260510.0354228095663046
0.381.331725667005740.0360295995028099
0.391.337894881420710.0363530246680033
0.41.344081132966060.0364071035299671
0.411.350241270803230.0362028159575824
0.421.356334709421660.0357678633240894
0.431.362324128014060.0351218745881988
0.441.368175766800090.034285575201154
0.451.373859459557320.0332773745936496
0.461.379348568490570.0321135750197004
0.471.384619969248170.0308087457774416
0.481.389654182059860.0293803219909028
0.491.394435677492030.0278554445179892
0.51.398953320104380.0262559287565672
0.511.403200863668370.0246147941937669
0.521.407177384299820.0229676223704073
0.531.410887533633640.0213494110737048
0.541.414341510096490.0197977891127212
0.551.417554678266240.0183433954294828
0.561.420546810364690.0170196843480756
0.571.423340976471160.0158448517628843
0.581.425962166458370.0148341094534582
0.591.428435779954110.0139868325953519
0.61.430786161047260.0132946572481422
0.611.433035370774620.0127346580069466
0.621.435202373170420.012280448641271
0.631.437302756162230.0119015699558268
0.641.439349022441240.0115730103153502
0.651.441351383634450.0112757633413944
0.661.443318897891190.0110055759219838
0.671.44526073317320.0107662093586005
0.681.447187337632190.0105713603190165
0.691.449111362825470.0104412852910565
0.71.451048305005840.010396197029759
0.711.453016975006980.0104509569739421
0.721.455040034869910.0106182764826763
0.731.457144901901420.0109093775590928
0.741.45936528030580.0113424791404831
0.751.4617434218570.0119478051197177
0.761.464332958684330.0127766434701991
0.771.467201849079450.0138971051769821
0.781.470434719778980.015392033835651
0.791.474133780169510.0173387016000242
0.81.478417617928690.0197907639664811
0.811.483417604074130.0227621202998994
0.821.48927229038890.0262176020395055
0.831.496120910931710.0300756060250759
0.841.504097638428230.0342207213831522
0.851.513328306655760.0385252755066879
0.861.523930709347460.0428774477832439
0.871.536018387224390.0471989537378611
0.881.549706355378510.0514456541111677
0.891.565115912737630.0555903995033778
0.91.582374540233450.059584011868548
0.911.601605156116380.0633215489974873
0.921.622895383046340.0666235771236953
0.931.646232140255370.0691958801866314
0.941.671384905096610.0705237065907405
0.951.697734868718240.0696756600810959
0.961.724091598574470.0651755340779421
0.971.748611957253250.0553759241320138
0.981.768996560189780.0398699655078269
0.991.783110766284560.0218899712904615

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.13426911482733 & 0.0164709510276541 \tabularnewline
0.02 & 1.14042749092261 & 0.0130694850355952 \tabularnewline
0.03 & 1.14694774961445 & 0.0119971624491691 \tabularnewline
0.04 & 1.15332136806969 & 0.0139522478864832 \tabularnewline
0.05 & 1.15975211591523 & 0.0175155832381803 \tabularnewline
0.06 & 1.16656520761281 & 0.0212406848860115 \tabularnewline
0.07 & 1.17389070932754 & 0.0242893885369026 \tabularnewline
0.08 & 1.18163151988606 & 0.0262758230104397 \tabularnewline
0.09 & 1.18955802541592 & 0.0271414813385826 \tabularnewline
0.1 & 1.19741228554849 & 0.0270510470486304 \tabularnewline
0.11 & 1.20497613317187 & 0.0262714644165947 \tabularnewline
0.12 & 1.21209971674553 & 0.0250757679702005 \tabularnewline
0.13 & 1.21870221651256 & 0.0236816502353709 \tabularnewline
0.14 & 1.22475830381557 & 0.0222294739841693 \tabularnewline
0.15 & 1.23028085296622 & 0.0208004580243945 \tabularnewline
0.16 & 1.23530614813368 & 0.0194419817700317 \tabularnewline
0.17 & 1.23988396313312 & 0.0181970976321277 \tabularnewline
0.18 & 1.2440722024158 & 0.0171123032100359 \tabularnewline
0.19 & 1.24793448530942 & 0.016245003921491 \tabularnewline
0.2 & 1.25153889626588 & 0.0156510098820716 \tabularnewline
0.21 & 1.25495664360368 & 0.015377727548716 \tabularnewline
0.22 & 1.25826009737663 & 0.0154480869043449 \tabularnewline
0.23 & 1.26152028404272 & 0.0158607450542446 \tabularnewline
0.24 & 1.26480425034213 & 0.0165894909088207 \tabularnewline
0.25 & 1.2681727647214 & 0.0175920817494864 \tabularnewline
0.26 & 1.27167868119629 & 0.0188235578236346 \tabularnewline
0.27 & 1.27536605858835 & 0.0202417681545172 \tabularnewline
0.28 & 1.27926991050116 & 0.0218059509832006 \tabularnewline
0.29 & 1.28341632930755 & 0.0234805222071715 \tabularnewline
0.3 & 1.28782270948802 & 0.0252277101634348 \tabularnewline
0.31 & 1.29249787914042 & 0.0270054241828166 \tabularnewline
0.32 & 1.29744208992457 & 0.0287664541326388 \tabularnewline
0.33 & 1.30264695844625 & 0.0304544295269995 \tabularnewline
0.34 & 1.30809554550269 & 0.0320135493906872 \tabularnewline
0.35 & 1.31376277459903 & 0.0333886468172388 \tabularnewline
0.36 & 1.31961632732582 & 0.034536489687423 \tabularnewline
0.37 & 1.32561803626051 & 0.0354228095663046 \tabularnewline
0.38 & 1.33172566700574 & 0.0360295995028099 \tabularnewline
0.39 & 1.33789488142071 & 0.0363530246680033 \tabularnewline
0.4 & 1.34408113296606 & 0.0364071035299671 \tabularnewline
0.41 & 1.35024127080323 & 0.0362028159575824 \tabularnewline
0.42 & 1.35633470942166 & 0.0357678633240894 \tabularnewline
0.43 & 1.36232412801406 & 0.0351218745881988 \tabularnewline
0.44 & 1.36817576680009 & 0.034285575201154 \tabularnewline
0.45 & 1.37385945955732 & 0.0332773745936496 \tabularnewline
0.46 & 1.37934856849057 & 0.0321135750197004 \tabularnewline
0.47 & 1.38461996924817 & 0.0308087457774416 \tabularnewline
0.48 & 1.38965418205986 & 0.0293803219909028 \tabularnewline
0.49 & 1.39443567749203 & 0.0278554445179892 \tabularnewline
0.5 & 1.39895332010438 & 0.0262559287565672 \tabularnewline
0.51 & 1.40320086366837 & 0.0246147941937669 \tabularnewline
0.52 & 1.40717738429982 & 0.0229676223704073 \tabularnewline
0.53 & 1.41088753363364 & 0.0213494110737048 \tabularnewline
0.54 & 1.41434151009649 & 0.0197977891127212 \tabularnewline
0.55 & 1.41755467826624 & 0.0183433954294828 \tabularnewline
0.56 & 1.42054681036469 & 0.0170196843480756 \tabularnewline
0.57 & 1.42334097647116 & 0.0158448517628843 \tabularnewline
0.58 & 1.42596216645837 & 0.0148341094534582 \tabularnewline
0.59 & 1.42843577995411 & 0.0139868325953519 \tabularnewline
0.6 & 1.43078616104726 & 0.0132946572481422 \tabularnewline
0.61 & 1.43303537077462 & 0.0127346580069466 \tabularnewline
0.62 & 1.43520237317042 & 0.012280448641271 \tabularnewline
0.63 & 1.43730275616223 & 0.0119015699558268 \tabularnewline
0.64 & 1.43934902244124 & 0.0115730103153502 \tabularnewline
0.65 & 1.44135138363445 & 0.0112757633413944 \tabularnewline
0.66 & 1.44331889789119 & 0.0110055759219838 \tabularnewline
0.67 & 1.4452607331732 & 0.0107662093586005 \tabularnewline
0.68 & 1.44718733763219 & 0.0105713603190165 \tabularnewline
0.69 & 1.44911136282547 & 0.0104412852910565 \tabularnewline
0.7 & 1.45104830500584 & 0.010396197029759 \tabularnewline
0.71 & 1.45301697500698 & 0.0104509569739421 \tabularnewline
0.72 & 1.45504003486991 & 0.0106182764826763 \tabularnewline
0.73 & 1.45714490190142 & 0.0109093775590928 \tabularnewline
0.74 & 1.4593652803058 & 0.0113424791404831 \tabularnewline
0.75 & 1.461743421857 & 0.0119478051197177 \tabularnewline
0.76 & 1.46433295868433 & 0.0127766434701991 \tabularnewline
0.77 & 1.46720184907945 & 0.0138971051769821 \tabularnewline
0.78 & 1.47043471977898 & 0.015392033835651 \tabularnewline
0.79 & 1.47413378016951 & 0.0173387016000242 \tabularnewline
0.8 & 1.47841761792869 & 0.0197907639664811 \tabularnewline
0.81 & 1.48341760407413 & 0.0227621202998994 \tabularnewline
0.82 & 1.4892722903889 & 0.0262176020395055 \tabularnewline
0.83 & 1.49612091093171 & 0.0300756060250759 \tabularnewline
0.84 & 1.50409763842823 & 0.0342207213831522 \tabularnewline
0.85 & 1.51332830665576 & 0.0385252755066879 \tabularnewline
0.86 & 1.52393070934746 & 0.0428774477832439 \tabularnewline
0.87 & 1.53601838722439 & 0.0471989537378611 \tabularnewline
0.88 & 1.54970635537851 & 0.0514456541111677 \tabularnewline
0.89 & 1.56511591273763 & 0.0555903995033778 \tabularnewline
0.9 & 1.58237454023345 & 0.059584011868548 \tabularnewline
0.91 & 1.60160515611638 & 0.0633215489974873 \tabularnewline
0.92 & 1.62289538304634 & 0.0666235771236953 \tabularnewline
0.93 & 1.64623214025537 & 0.0691958801866314 \tabularnewline
0.94 & 1.67138490509661 & 0.0705237065907405 \tabularnewline
0.95 & 1.69773486871824 & 0.0696756600810959 \tabularnewline
0.96 & 1.72409159857447 & 0.0651755340779421 \tabularnewline
0.97 & 1.74861195725325 & 0.0553759241320138 \tabularnewline
0.98 & 1.76899656018978 & 0.0398699655078269 \tabularnewline
0.99 & 1.78311076628456 & 0.0218899712904615 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167685&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]1.13426911482733[/C][C]0.0164709510276541[/C][/ROW]
[ROW][C]0.02[/C][C]1.14042749092261[/C][C]0.0130694850355952[/C][/ROW]
[ROW][C]0.03[/C][C]1.14694774961445[/C][C]0.0119971624491691[/C][/ROW]
[ROW][C]0.04[/C][C]1.15332136806969[/C][C]0.0139522478864832[/C][/ROW]
[ROW][C]0.05[/C][C]1.15975211591523[/C][C]0.0175155832381803[/C][/ROW]
[ROW][C]0.06[/C][C]1.16656520761281[/C][C]0.0212406848860115[/C][/ROW]
[ROW][C]0.07[/C][C]1.17389070932754[/C][C]0.0242893885369026[/C][/ROW]
[ROW][C]0.08[/C][C]1.18163151988606[/C][C]0.0262758230104397[/C][/ROW]
[ROW][C]0.09[/C][C]1.18955802541592[/C][C]0.0271414813385826[/C][/ROW]
[ROW][C]0.1[/C][C]1.19741228554849[/C][C]0.0270510470486304[/C][/ROW]
[ROW][C]0.11[/C][C]1.20497613317187[/C][C]0.0262714644165947[/C][/ROW]
[ROW][C]0.12[/C][C]1.21209971674553[/C][C]0.0250757679702005[/C][/ROW]
[ROW][C]0.13[/C][C]1.21870221651256[/C][C]0.0236816502353709[/C][/ROW]
[ROW][C]0.14[/C][C]1.22475830381557[/C][C]0.0222294739841693[/C][/ROW]
[ROW][C]0.15[/C][C]1.23028085296622[/C][C]0.0208004580243945[/C][/ROW]
[ROW][C]0.16[/C][C]1.23530614813368[/C][C]0.0194419817700317[/C][/ROW]
[ROW][C]0.17[/C][C]1.23988396313312[/C][C]0.0181970976321277[/C][/ROW]
[ROW][C]0.18[/C][C]1.2440722024158[/C][C]0.0171123032100359[/C][/ROW]
[ROW][C]0.19[/C][C]1.24793448530942[/C][C]0.016245003921491[/C][/ROW]
[ROW][C]0.2[/C][C]1.25153889626588[/C][C]0.0156510098820716[/C][/ROW]
[ROW][C]0.21[/C][C]1.25495664360368[/C][C]0.015377727548716[/C][/ROW]
[ROW][C]0.22[/C][C]1.25826009737663[/C][C]0.0154480869043449[/C][/ROW]
[ROW][C]0.23[/C][C]1.26152028404272[/C][C]0.0158607450542446[/C][/ROW]
[ROW][C]0.24[/C][C]1.26480425034213[/C][C]0.0165894909088207[/C][/ROW]
[ROW][C]0.25[/C][C]1.2681727647214[/C][C]0.0175920817494864[/C][/ROW]
[ROW][C]0.26[/C][C]1.27167868119629[/C][C]0.0188235578236346[/C][/ROW]
[ROW][C]0.27[/C][C]1.27536605858835[/C][C]0.0202417681545172[/C][/ROW]
[ROW][C]0.28[/C][C]1.27926991050116[/C][C]0.0218059509832006[/C][/ROW]
[ROW][C]0.29[/C][C]1.28341632930755[/C][C]0.0234805222071715[/C][/ROW]
[ROW][C]0.3[/C][C]1.28782270948802[/C][C]0.0252277101634348[/C][/ROW]
[ROW][C]0.31[/C][C]1.29249787914042[/C][C]0.0270054241828166[/C][/ROW]
[ROW][C]0.32[/C][C]1.29744208992457[/C][C]0.0287664541326388[/C][/ROW]
[ROW][C]0.33[/C][C]1.30264695844625[/C][C]0.0304544295269995[/C][/ROW]
[ROW][C]0.34[/C][C]1.30809554550269[/C][C]0.0320135493906872[/C][/ROW]
[ROW][C]0.35[/C][C]1.31376277459903[/C][C]0.0333886468172388[/C][/ROW]
[ROW][C]0.36[/C][C]1.31961632732582[/C][C]0.034536489687423[/C][/ROW]
[ROW][C]0.37[/C][C]1.32561803626051[/C][C]0.0354228095663046[/C][/ROW]
[ROW][C]0.38[/C][C]1.33172566700574[/C][C]0.0360295995028099[/C][/ROW]
[ROW][C]0.39[/C][C]1.33789488142071[/C][C]0.0363530246680033[/C][/ROW]
[ROW][C]0.4[/C][C]1.34408113296606[/C][C]0.0364071035299671[/C][/ROW]
[ROW][C]0.41[/C][C]1.35024127080323[/C][C]0.0362028159575824[/C][/ROW]
[ROW][C]0.42[/C][C]1.35633470942166[/C][C]0.0357678633240894[/C][/ROW]
[ROW][C]0.43[/C][C]1.36232412801406[/C][C]0.0351218745881988[/C][/ROW]
[ROW][C]0.44[/C][C]1.36817576680009[/C][C]0.034285575201154[/C][/ROW]
[ROW][C]0.45[/C][C]1.37385945955732[/C][C]0.0332773745936496[/C][/ROW]
[ROW][C]0.46[/C][C]1.37934856849057[/C][C]0.0321135750197004[/C][/ROW]
[ROW][C]0.47[/C][C]1.38461996924817[/C][C]0.0308087457774416[/C][/ROW]
[ROW][C]0.48[/C][C]1.38965418205986[/C][C]0.0293803219909028[/C][/ROW]
[ROW][C]0.49[/C][C]1.39443567749203[/C][C]0.0278554445179892[/C][/ROW]
[ROW][C]0.5[/C][C]1.39895332010438[/C][C]0.0262559287565672[/C][/ROW]
[ROW][C]0.51[/C][C]1.40320086366837[/C][C]0.0246147941937669[/C][/ROW]
[ROW][C]0.52[/C][C]1.40717738429982[/C][C]0.0229676223704073[/C][/ROW]
[ROW][C]0.53[/C][C]1.41088753363364[/C][C]0.0213494110737048[/C][/ROW]
[ROW][C]0.54[/C][C]1.41434151009649[/C][C]0.0197977891127212[/C][/ROW]
[ROW][C]0.55[/C][C]1.41755467826624[/C][C]0.0183433954294828[/C][/ROW]
[ROW][C]0.56[/C][C]1.42054681036469[/C][C]0.0170196843480756[/C][/ROW]
[ROW][C]0.57[/C][C]1.42334097647116[/C][C]0.0158448517628843[/C][/ROW]
[ROW][C]0.58[/C][C]1.42596216645837[/C][C]0.0148341094534582[/C][/ROW]
[ROW][C]0.59[/C][C]1.42843577995411[/C][C]0.0139868325953519[/C][/ROW]
[ROW][C]0.6[/C][C]1.43078616104726[/C][C]0.0132946572481422[/C][/ROW]
[ROW][C]0.61[/C][C]1.43303537077462[/C][C]0.0127346580069466[/C][/ROW]
[ROW][C]0.62[/C][C]1.43520237317042[/C][C]0.012280448641271[/C][/ROW]
[ROW][C]0.63[/C][C]1.43730275616223[/C][C]0.0119015699558268[/C][/ROW]
[ROW][C]0.64[/C][C]1.43934902244124[/C][C]0.0115730103153502[/C][/ROW]
[ROW][C]0.65[/C][C]1.44135138363445[/C][C]0.0112757633413944[/C][/ROW]
[ROW][C]0.66[/C][C]1.44331889789119[/C][C]0.0110055759219838[/C][/ROW]
[ROW][C]0.67[/C][C]1.4452607331732[/C][C]0.0107662093586005[/C][/ROW]
[ROW][C]0.68[/C][C]1.44718733763219[/C][C]0.0105713603190165[/C][/ROW]
[ROW][C]0.69[/C][C]1.44911136282547[/C][C]0.0104412852910565[/C][/ROW]
[ROW][C]0.7[/C][C]1.45104830500584[/C][C]0.010396197029759[/C][/ROW]
[ROW][C]0.71[/C][C]1.45301697500698[/C][C]0.0104509569739421[/C][/ROW]
[ROW][C]0.72[/C][C]1.45504003486991[/C][C]0.0106182764826763[/C][/ROW]
[ROW][C]0.73[/C][C]1.45714490190142[/C][C]0.0109093775590928[/C][/ROW]
[ROW][C]0.74[/C][C]1.4593652803058[/C][C]0.0113424791404831[/C][/ROW]
[ROW][C]0.75[/C][C]1.461743421857[/C][C]0.0119478051197177[/C][/ROW]
[ROW][C]0.76[/C][C]1.46433295868433[/C][C]0.0127766434701991[/C][/ROW]
[ROW][C]0.77[/C][C]1.46720184907945[/C][C]0.0138971051769821[/C][/ROW]
[ROW][C]0.78[/C][C]1.47043471977898[/C][C]0.015392033835651[/C][/ROW]
[ROW][C]0.79[/C][C]1.47413378016951[/C][C]0.0173387016000242[/C][/ROW]
[ROW][C]0.8[/C][C]1.47841761792869[/C][C]0.0197907639664811[/C][/ROW]
[ROW][C]0.81[/C][C]1.48341760407413[/C][C]0.0227621202998994[/C][/ROW]
[ROW][C]0.82[/C][C]1.4892722903889[/C][C]0.0262176020395055[/C][/ROW]
[ROW][C]0.83[/C][C]1.49612091093171[/C][C]0.0300756060250759[/C][/ROW]
[ROW][C]0.84[/C][C]1.50409763842823[/C][C]0.0342207213831522[/C][/ROW]
[ROW][C]0.85[/C][C]1.51332830665576[/C][C]0.0385252755066879[/C][/ROW]
[ROW][C]0.86[/C][C]1.52393070934746[/C][C]0.0428774477832439[/C][/ROW]
[ROW][C]0.87[/C][C]1.53601838722439[/C][C]0.0471989537378611[/C][/ROW]
[ROW][C]0.88[/C][C]1.54970635537851[/C][C]0.0514456541111677[/C][/ROW]
[ROW][C]0.89[/C][C]1.56511591273763[/C][C]0.0555903995033778[/C][/ROW]
[ROW][C]0.9[/C][C]1.58237454023345[/C][C]0.059584011868548[/C][/ROW]
[ROW][C]0.91[/C][C]1.60160515611638[/C][C]0.0633215489974873[/C][/ROW]
[ROW][C]0.92[/C][C]1.62289538304634[/C][C]0.0666235771236953[/C][/ROW]
[ROW][C]0.93[/C][C]1.64623214025537[/C][C]0.0691958801866314[/C][/ROW]
[ROW][C]0.94[/C][C]1.67138490509661[/C][C]0.0705237065907405[/C][/ROW]
[ROW][C]0.95[/C][C]1.69773486871824[/C][C]0.0696756600810959[/C][/ROW]
[ROW][C]0.96[/C][C]1.72409159857447[/C][C]0.0651755340779421[/C][/ROW]
[ROW][C]0.97[/C][C]1.74861195725325[/C][C]0.0553759241320138[/C][/ROW]
[ROW][C]0.98[/C][C]1.76899656018978[/C][C]0.0398699655078269[/C][/ROW]
[ROW][C]0.99[/C][C]1.78311076628456[/C][C]0.0218899712904615[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167685&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167685&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
0.011.134269114827330.0164709510276541
0.021.140427490922610.0130694850355952
0.031.146947749614450.0119971624491691
0.041.153321368069690.0139522478864832
0.051.159752115915230.0175155832381803
0.061.166565207612810.0212406848860115
0.071.173890709327540.0242893885369026
0.081.181631519886060.0262758230104397
0.091.189558025415920.0271414813385826
0.11.197412285548490.0270510470486304
0.111.204976133171870.0262714644165947
0.121.212099716745530.0250757679702005
0.131.218702216512560.0236816502353709
0.141.224758303815570.0222294739841693
0.151.230280852966220.0208004580243945
0.161.235306148133680.0194419817700317
0.171.239883963133120.0181970976321277
0.181.24407220241580.0171123032100359
0.191.247934485309420.016245003921491
0.21.251538896265880.0156510098820716
0.211.254956643603680.015377727548716
0.221.258260097376630.0154480869043449
0.231.261520284042720.0158607450542446
0.241.264804250342130.0165894909088207
0.251.26817276472140.0175920817494864
0.261.271678681196290.0188235578236346
0.271.275366058588350.0202417681545172
0.281.279269910501160.0218059509832006
0.291.283416329307550.0234805222071715
0.31.287822709488020.0252277101634348
0.311.292497879140420.0270054241828166
0.321.297442089924570.0287664541326388
0.331.302646958446250.0304544295269995
0.341.308095545502690.0320135493906872
0.351.313762774599030.0333886468172388
0.361.319616327325820.034536489687423
0.371.325618036260510.0354228095663046
0.381.331725667005740.0360295995028099
0.391.337894881420710.0363530246680033
0.41.344081132966060.0364071035299671
0.411.350241270803230.0362028159575824
0.421.356334709421660.0357678633240894
0.431.362324128014060.0351218745881988
0.441.368175766800090.034285575201154
0.451.373859459557320.0332773745936496
0.461.379348568490570.0321135750197004
0.471.384619969248170.0308087457774416
0.481.389654182059860.0293803219909028
0.491.394435677492030.0278554445179892
0.51.398953320104380.0262559287565672
0.511.403200863668370.0246147941937669
0.521.407177384299820.0229676223704073
0.531.410887533633640.0213494110737048
0.541.414341510096490.0197977891127212
0.551.417554678266240.0183433954294828
0.561.420546810364690.0170196843480756
0.571.423340976471160.0158448517628843
0.581.425962166458370.0148341094534582
0.591.428435779954110.0139868325953519
0.61.430786161047260.0132946572481422
0.611.433035370774620.0127346580069466
0.621.435202373170420.012280448641271
0.631.437302756162230.0119015699558268
0.641.439349022441240.0115730103153502
0.651.441351383634450.0112757633413944
0.661.443318897891190.0110055759219838
0.671.44526073317320.0107662093586005
0.681.447187337632190.0105713603190165
0.691.449111362825470.0104412852910565
0.71.451048305005840.010396197029759
0.711.453016975006980.0104509569739421
0.721.455040034869910.0106182764826763
0.731.457144901901420.0109093775590928
0.741.45936528030580.0113424791404831
0.751.4617434218570.0119478051197177
0.761.464332958684330.0127766434701991
0.771.467201849079450.0138971051769821
0.781.470434719778980.015392033835651
0.791.474133780169510.0173387016000242
0.81.478417617928690.0197907639664811
0.811.483417604074130.0227621202998994
0.821.48927229038890.0262176020395055
0.831.496120910931710.0300756060250759
0.841.504097638428230.0342207213831522
0.851.513328306655760.0385252755066879
0.861.523930709347460.0428774477832439
0.871.536018387224390.0471989537378611
0.881.549706355378510.0514456541111677
0.891.565115912737630.0555903995033778
0.91.582374540233450.059584011868548
0.911.601605156116380.0633215489974873
0.921.622895383046340.0666235771236953
0.931.646232140255370.0691958801866314
0.941.671384905096610.0705237065907405
0.951.697734868718240.0696756600810959
0.961.724091598574470.0651755340779421
0.971.748611957253250.0553759241320138
0.981.768996560189780.0398699655078269
0.991.783110766284560.0218899712904615


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')