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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 computationFri, 07 Oct 2011 10:06:13 -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/2011/Oct/07/t1317996498acia1hzqod6am86.htm/, Retrieved Thu, 16 May 2024 12:58:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=127199, Retrieved Thu, 16 May 2024 12:58:42 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact70

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] [H-D percentielen ...] [2011-10-07 14:06:13] [25fc5ac2507862d3d3648773d283d006] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.08
7.08
7.09
7.07
7.06
6.99
6.99
6.99
6.98
6.96
6.95
6.91
6.91
6.87
6.91
6.89
6.88
6.9
6.91
6.85
6.86
6.82
6.8
6.83
6.84
6.89
7.14
7.21
7.25
7.31
7.3
7.48
7.49
7.4
7.44
7.42
7.14
7.24
7.33
7.61
7.66
7.69
7.7
7.68
7.71
7.71
7.72
7.68
7.72
7.74
7.76
7.9
7.97
7.96
7.95
7.97
7.93
7.99
7.96
7.92
7.97
7.98
8
8.04
8.17
8.29
8.26
8.3
8.32
8.28
8.27
8.32
8.31
8.34
8.32
8.36
8.33
8.35
8.34
8.37
8.31
8.33
8.34
8.25
8.27
8.31
8.25
8.3
8.3
8.35
8.78
8.9
8.9
8.9
9
9.05

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'AstonUniversity' @ aston.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 & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127199&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]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127199&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127199&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'AstonUniversity' @ aston.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.016.809006304912760.0166871146521852
0.026.821416513723920.0149700863519629
0.036.832848146266160.015696439889444
0.046.843011307382120.0171652513697597
0.056.852485094628360.0184057471772309
0.066.861503447603230.0190920002619857
0.076.870055965679180.0192561346153211
0.086.878107094002380.019163723901602
0.096.885705606016780.01922610026198
0.16.89301749291710.0199223076251453
0.116.90031223052930.021632670355063
0.126.907918526801920.0245269583727611
0.136.916164485800680.0284941105120407
0.146.925319293581180.0331988568216023
0.156.935553431662340.0382244887215175
0.166.946928633453170.0432045370152323
0.176.959417772864570.0479595730547925
0.186.9729438022790.0524464472107763
0.196.987421796267230.0567608526894826
0.27.002791070841950.0610746194384947
0.217.019031940021590.0655193602100749
0.227.036168580301560.0702653534239658
0.237.054262401169240.0754322119844317
0.247.073399662263460.0810979819033796
0.257.093675456301910.0872851130143805
0.267.11517579028230.0938706124184413
0.277.137960554877060.100700374126123
0.287.162051239794650.107523130134324
0.297.187426754464720.114118389220931
0.37.214028231764730.120336252247576
0.317.241770230630620.12610873262283
0.327.270553017517410.131433346358645
0.337.300269974156370.136321089457992
0.347.330806017016910.140749869715064
0.357.362026522566160.144573137717373
0.367.39376029051410.14755512597499
0.377.425783138328240.149355983984376
0.387.457809789177810.149610506881464
0.397.489500401636280.148017005511076
0.47.52048466522050.144432654360349
0.417.550401689597330.138968519137864
0.427.578949154794070.131992239796928
0.437.605931660464370.124142667991459
0.447.63129696771860.116243841530507
0.457.655150380072260.109176432546281
0.467.677741662318640.103739649632327
0.477.699424761608610.100442058803257
0.487.720596815888340.0993960165955666
0.497.741628021425280.100246542763435
0.57.762796627187130.102256469034214
0.517.78424290631860.104512277575826
0.527.805952407139450.106107848530765
0.537.82777281203450.106383633966712
0.547.849461607450420.104996171182853
0.557.87075504848510.102003175372199
0.567.891444059428630.0978972811923235
0.577.911440791619290.093462209361832
0.587.930820960245440.0897088488129926
0.597.949831517876270.0876381917899944
0.67.968859855116010.0880103422674436
0.617.988368359472430.0910815777781224
0.628.008805465362130.0965026029166589
0.638.030509923728080.103361678038805
0.648.053627654048180.110424069391947
0.658.07805928599140.116330785561127
0.668.103451076778750.119855255766075
0.678.129233019264770.120114347540685
0.688.154697475374710.116693982538144
0.698.179102254989980.10972989939234
0.78.201776461409620.0998284365546155
0.718.222207460388140.087938584811398
0.728.240093079127430.0751804579856383
0.738.255352764817630.0626017681060454
0.748.268101798981420.0510396377760282
0.758.278600554378580.0410529149568663
0.768.287194117055470.0328765438067888
0.778.29425612713640.0265094119573684
0.788.300145857888760.0217683254333421
0.798.30518167295980.0183892171856191
0.88.309629274426540.0160848004520963
0.818.313700979076240.0145860438537576
0.828.317563156595750.0136865698145564
0.838.32135298986860.0132133415429537
0.848.325212961654170.0131085213905474
0.858.329361835922880.0135275857677824
0.868.334232021268420.0150972451505413
0.878.34070548867290.0193348694775591
0.888.3504510020870.0288848074784385
0.898.366270716747740.0470595551983576
0.98.392190498348880.0766937282810156
0.918.432852573103860.117925777915821
0.928.491826453444960.165157123379658
0.938.569059990485430.20544527661684
0.948.658861327314540.222030523813029
0.958.750696742833680.204184101291078
0.968.83404750489930.1582631517862
0.978.90470635888520.108742567277643
0.988.965765632460580.0791233884939836
0.999.018311363755740.0621293183345934

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 6.80900630491276 & 0.0166871146521852 \tabularnewline
0.02 & 6.82141651372392 & 0.0149700863519629 \tabularnewline
0.03 & 6.83284814626616 & 0.015696439889444 \tabularnewline
0.04 & 6.84301130738212 & 0.0171652513697597 \tabularnewline
0.05 & 6.85248509462836 & 0.0184057471772309 \tabularnewline
0.06 & 6.86150344760323 & 0.0190920002619857 \tabularnewline
0.07 & 6.87005596567918 & 0.0192561346153211 \tabularnewline
0.08 & 6.87810709400238 & 0.019163723901602 \tabularnewline
0.09 & 6.88570560601678 & 0.01922610026198 \tabularnewline
0.1 & 6.8930174929171 & 0.0199223076251453 \tabularnewline
0.11 & 6.9003122305293 & 0.021632670355063 \tabularnewline
0.12 & 6.90791852680192 & 0.0245269583727611 \tabularnewline
0.13 & 6.91616448580068 & 0.0284941105120407 \tabularnewline
0.14 & 6.92531929358118 & 0.0331988568216023 \tabularnewline
0.15 & 6.93555343166234 & 0.0382244887215175 \tabularnewline
0.16 & 6.94692863345317 & 0.0432045370152323 \tabularnewline
0.17 & 6.95941777286457 & 0.0479595730547925 \tabularnewline
0.18 & 6.972943802279 & 0.0524464472107763 \tabularnewline
0.19 & 6.98742179626723 & 0.0567608526894826 \tabularnewline
0.2 & 7.00279107084195 & 0.0610746194384947 \tabularnewline
0.21 & 7.01903194002159 & 0.0655193602100749 \tabularnewline
0.22 & 7.03616858030156 & 0.0702653534239658 \tabularnewline
0.23 & 7.05426240116924 & 0.0754322119844317 \tabularnewline
0.24 & 7.07339966226346 & 0.0810979819033796 \tabularnewline
0.25 & 7.09367545630191 & 0.0872851130143805 \tabularnewline
0.26 & 7.1151757902823 & 0.0938706124184413 \tabularnewline
0.27 & 7.13796055487706 & 0.100700374126123 \tabularnewline
0.28 & 7.16205123979465 & 0.107523130134324 \tabularnewline
0.29 & 7.18742675446472 & 0.114118389220931 \tabularnewline
0.3 & 7.21402823176473 & 0.120336252247576 \tabularnewline
0.31 & 7.24177023063062 & 0.12610873262283 \tabularnewline
0.32 & 7.27055301751741 & 0.131433346358645 \tabularnewline
0.33 & 7.30026997415637 & 0.136321089457992 \tabularnewline
0.34 & 7.33080601701691 & 0.140749869715064 \tabularnewline
0.35 & 7.36202652256616 & 0.144573137717373 \tabularnewline
0.36 & 7.3937602905141 & 0.14755512597499 \tabularnewline
0.37 & 7.42578313832824 & 0.149355983984376 \tabularnewline
0.38 & 7.45780978917781 & 0.149610506881464 \tabularnewline
0.39 & 7.48950040163628 & 0.148017005511076 \tabularnewline
0.4 & 7.5204846652205 & 0.144432654360349 \tabularnewline
0.41 & 7.55040168959733 & 0.138968519137864 \tabularnewline
0.42 & 7.57894915479407 & 0.131992239796928 \tabularnewline
0.43 & 7.60593166046437 & 0.124142667991459 \tabularnewline
0.44 & 7.6312969677186 & 0.116243841530507 \tabularnewline
0.45 & 7.65515038007226 & 0.109176432546281 \tabularnewline
0.46 & 7.67774166231864 & 0.103739649632327 \tabularnewline
0.47 & 7.69942476160861 & 0.100442058803257 \tabularnewline
0.48 & 7.72059681588834 & 0.0993960165955666 \tabularnewline
0.49 & 7.74162802142528 & 0.100246542763435 \tabularnewline
0.5 & 7.76279662718713 & 0.102256469034214 \tabularnewline
0.51 & 7.7842429063186 & 0.104512277575826 \tabularnewline
0.52 & 7.80595240713945 & 0.106107848530765 \tabularnewline
0.53 & 7.8277728120345 & 0.106383633966712 \tabularnewline
0.54 & 7.84946160745042 & 0.104996171182853 \tabularnewline
0.55 & 7.8707550484851 & 0.102003175372199 \tabularnewline
0.56 & 7.89144405942863 & 0.0978972811923235 \tabularnewline
0.57 & 7.91144079161929 & 0.093462209361832 \tabularnewline
0.58 & 7.93082096024544 & 0.0897088488129926 \tabularnewline
0.59 & 7.94983151787627 & 0.0876381917899944 \tabularnewline
0.6 & 7.96885985511601 & 0.0880103422674436 \tabularnewline
0.61 & 7.98836835947243 & 0.0910815777781224 \tabularnewline
0.62 & 8.00880546536213 & 0.0965026029166589 \tabularnewline
0.63 & 8.03050992372808 & 0.103361678038805 \tabularnewline
0.64 & 8.05362765404818 & 0.110424069391947 \tabularnewline
0.65 & 8.0780592859914 & 0.116330785561127 \tabularnewline
0.66 & 8.10345107677875 & 0.119855255766075 \tabularnewline
0.67 & 8.12923301926477 & 0.120114347540685 \tabularnewline
0.68 & 8.15469747537471 & 0.116693982538144 \tabularnewline
0.69 & 8.17910225498998 & 0.10972989939234 \tabularnewline
0.7 & 8.20177646140962 & 0.0998284365546155 \tabularnewline
0.71 & 8.22220746038814 & 0.087938584811398 \tabularnewline
0.72 & 8.24009307912743 & 0.0751804579856383 \tabularnewline
0.73 & 8.25535276481763 & 0.0626017681060454 \tabularnewline
0.74 & 8.26810179898142 & 0.0510396377760282 \tabularnewline
0.75 & 8.27860055437858 & 0.0410529149568663 \tabularnewline
0.76 & 8.28719411705547 & 0.0328765438067888 \tabularnewline
0.77 & 8.2942561271364 & 0.0265094119573684 \tabularnewline
0.78 & 8.30014585788876 & 0.0217683254333421 \tabularnewline
0.79 & 8.3051816729598 & 0.0183892171856191 \tabularnewline
0.8 & 8.30962927442654 & 0.0160848004520963 \tabularnewline
0.81 & 8.31370097907624 & 0.0145860438537576 \tabularnewline
0.82 & 8.31756315659575 & 0.0136865698145564 \tabularnewline
0.83 & 8.3213529898686 & 0.0132133415429537 \tabularnewline
0.84 & 8.32521296165417 & 0.0131085213905474 \tabularnewline
0.85 & 8.32936183592288 & 0.0135275857677824 \tabularnewline
0.86 & 8.33423202126842 & 0.0150972451505413 \tabularnewline
0.87 & 8.3407054886729 & 0.0193348694775591 \tabularnewline
0.88 & 8.350451002087 & 0.0288848074784385 \tabularnewline
0.89 & 8.36627071674774 & 0.0470595551983576 \tabularnewline
0.9 & 8.39219049834888 & 0.0766937282810156 \tabularnewline
0.91 & 8.43285257310386 & 0.117925777915821 \tabularnewline
0.92 & 8.49182645344496 & 0.165157123379658 \tabularnewline
0.93 & 8.56905999048543 & 0.20544527661684 \tabularnewline
0.94 & 8.65886132731454 & 0.222030523813029 \tabularnewline
0.95 & 8.75069674283368 & 0.204184101291078 \tabularnewline
0.96 & 8.8340475048993 & 0.1582631517862 \tabularnewline
0.97 & 8.9047063588852 & 0.108742567277643 \tabularnewline
0.98 & 8.96576563246058 & 0.0791233884939836 \tabularnewline
0.99 & 9.01831136375574 & 0.0621293183345934 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=127199&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]6.80900630491276[/C][C]0.0166871146521852[/C][/ROW]
[ROW][C]0.02[/C][C]6.82141651372392[/C][C]0.0149700863519629[/C][/ROW]
[ROW][C]0.03[/C][C]6.83284814626616[/C][C]0.015696439889444[/C][/ROW]
[ROW][C]0.04[/C][C]6.84301130738212[/C][C]0.0171652513697597[/C][/ROW]
[ROW][C]0.05[/C][C]6.85248509462836[/C][C]0.0184057471772309[/C][/ROW]
[ROW][C]0.06[/C][C]6.86150344760323[/C][C]0.0190920002619857[/C][/ROW]
[ROW][C]0.07[/C][C]6.87005596567918[/C][C]0.0192561346153211[/C][/ROW]
[ROW][C]0.08[/C][C]6.87810709400238[/C][C]0.019163723901602[/C][/ROW]
[ROW][C]0.09[/C][C]6.88570560601678[/C][C]0.01922610026198[/C][/ROW]
[ROW][C]0.1[/C][C]6.8930174929171[/C][C]0.0199223076251453[/C][/ROW]
[ROW][C]0.11[/C][C]6.9003122305293[/C][C]0.021632670355063[/C][/ROW]
[ROW][C]0.12[/C][C]6.90791852680192[/C][C]0.0245269583727611[/C][/ROW]
[ROW][C]0.13[/C][C]6.91616448580068[/C][C]0.0284941105120407[/C][/ROW]
[ROW][C]0.14[/C][C]6.92531929358118[/C][C]0.0331988568216023[/C][/ROW]
[ROW][C]0.15[/C][C]6.93555343166234[/C][C]0.0382244887215175[/C][/ROW]
[ROW][C]0.16[/C][C]6.94692863345317[/C][C]0.0432045370152323[/C][/ROW]
[ROW][C]0.17[/C][C]6.95941777286457[/C][C]0.0479595730547925[/C][/ROW]
[ROW][C]0.18[/C][C]6.972943802279[/C][C]0.0524464472107763[/C][/ROW]
[ROW][C]0.19[/C][C]6.98742179626723[/C][C]0.0567608526894826[/C][/ROW]
[ROW][C]0.2[/C][C]7.00279107084195[/C][C]0.0610746194384947[/C][/ROW]
[ROW][C]0.21[/C][C]7.01903194002159[/C][C]0.0655193602100749[/C][/ROW]
[ROW][C]0.22[/C][C]7.03616858030156[/C][C]0.0702653534239658[/C][/ROW]
[ROW][C]0.23[/C][C]7.05426240116924[/C][C]0.0754322119844317[/C][/ROW]
[ROW][C]0.24[/C][C]7.07339966226346[/C][C]0.0810979819033796[/C][/ROW]
[ROW][C]0.25[/C][C]7.09367545630191[/C][C]0.0872851130143805[/C][/ROW]
[ROW][C]0.26[/C][C]7.1151757902823[/C][C]0.0938706124184413[/C][/ROW]
[ROW][C]0.27[/C][C]7.13796055487706[/C][C]0.100700374126123[/C][/ROW]
[ROW][C]0.28[/C][C]7.16205123979465[/C][C]0.107523130134324[/C][/ROW]
[ROW][C]0.29[/C][C]7.18742675446472[/C][C]0.114118389220931[/C][/ROW]
[ROW][C]0.3[/C][C]7.21402823176473[/C][C]0.120336252247576[/C][/ROW]
[ROW][C]0.31[/C][C]7.24177023063062[/C][C]0.12610873262283[/C][/ROW]
[ROW][C]0.32[/C][C]7.27055301751741[/C][C]0.131433346358645[/C][/ROW]
[ROW][C]0.33[/C][C]7.30026997415637[/C][C]0.136321089457992[/C][/ROW]
[ROW][C]0.34[/C][C]7.33080601701691[/C][C]0.140749869715064[/C][/ROW]
[ROW][C]0.35[/C][C]7.36202652256616[/C][C]0.144573137717373[/C][/ROW]
[ROW][C]0.36[/C][C]7.3937602905141[/C][C]0.14755512597499[/C][/ROW]
[ROW][C]0.37[/C][C]7.42578313832824[/C][C]0.149355983984376[/C][/ROW]
[ROW][C]0.38[/C][C]7.45780978917781[/C][C]0.149610506881464[/C][/ROW]
[ROW][C]0.39[/C][C]7.48950040163628[/C][C]0.148017005511076[/C][/ROW]
[ROW][C]0.4[/C][C]7.5204846652205[/C][C]0.144432654360349[/C][/ROW]
[ROW][C]0.41[/C][C]7.55040168959733[/C][C]0.138968519137864[/C][/ROW]
[ROW][C]0.42[/C][C]7.57894915479407[/C][C]0.131992239796928[/C][/ROW]
[ROW][C]0.43[/C][C]7.60593166046437[/C][C]0.124142667991459[/C][/ROW]
[ROW][C]0.44[/C][C]7.6312969677186[/C][C]0.116243841530507[/C][/ROW]
[ROW][C]0.45[/C][C]7.65515038007226[/C][C]0.109176432546281[/C][/ROW]
[ROW][C]0.46[/C][C]7.67774166231864[/C][C]0.103739649632327[/C][/ROW]
[ROW][C]0.47[/C][C]7.69942476160861[/C][C]0.100442058803257[/C][/ROW]
[ROW][C]0.48[/C][C]7.72059681588834[/C][C]0.0993960165955666[/C][/ROW]
[ROW][C]0.49[/C][C]7.74162802142528[/C][C]0.100246542763435[/C][/ROW]
[ROW][C]0.5[/C][C]7.76279662718713[/C][C]0.102256469034214[/C][/ROW]
[ROW][C]0.51[/C][C]7.7842429063186[/C][C]0.104512277575826[/C][/ROW]
[ROW][C]0.52[/C][C]7.80595240713945[/C][C]0.106107848530765[/C][/ROW]
[ROW][C]0.53[/C][C]7.8277728120345[/C][C]0.106383633966712[/C][/ROW]
[ROW][C]0.54[/C][C]7.84946160745042[/C][C]0.104996171182853[/C][/ROW]
[ROW][C]0.55[/C][C]7.8707550484851[/C][C]0.102003175372199[/C][/ROW]
[ROW][C]0.56[/C][C]7.89144405942863[/C][C]0.0978972811923235[/C][/ROW]
[ROW][C]0.57[/C][C]7.91144079161929[/C][C]0.093462209361832[/C][/ROW]
[ROW][C]0.58[/C][C]7.93082096024544[/C][C]0.0897088488129926[/C][/ROW]
[ROW][C]0.59[/C][C]7.94983151787627[/C][C]0.0876381917899944[/C][/ROW]
[ROW][C]0.6[/C][C]7.96885985511601[/C][C]0.0880103422674436[/C][/ROW]
[ROW][C]0.61[/C][C]7.98836835947243[/C][C]0.0910815777781224[/C][/ROW]
[ROW][C]0.62[/C][C]8.00880546536213[/C][C]0.0965026029166589[/C][/ROW]
[ROW][C]0.63[/C][C]8.03050992372808[/C][C]0.103361678038805[/C][/ROW]
[ROW][C]0.64[/C][C]8.05362765404818[/C][C]0.110424069391947[/C][/ROW]
[ROW][C]0.65[/C][C]8.0780592859914[/C][C]0.116330785561127[/C][/ROW]
[ROW][C]0.66[/C][C]8.10345107677875[/C][C]0.119855255766075[/C][/ROW]
[ROW][C]0.67[/C][C]8.12923301926477[/C][C]0.120114347540685[/C][/ROW]
[ROW][C]0.68[/C][C]8.15469747537471[/C][C]0.116693982538144[/C][/ROW]
[ROW][C]0.69[/C][C]8.17910225498998[/C][C]0.10972989939234[/C][/ROW]
[ROW][C]0.7[/C][C]8.20177646140962[/C][C]0.0998284365546155[/C][/ROW]
[ROW][C]0.71[/C][C]8.22220746038814[/C][C]0.087938584811398[/C][/ROW]
[ROW][C]0.72[/C][C]8.24009307912743[/C][C]0.0751804579856383[/C][/ROW]
[ROW][C]0.73[/C][C]8.25535276481763[/C][C]0.0626017681060454[/C][/ROW]
[ROW][C]0.74[/C][C]8.26810179898142[/C][C]0.0510396377760282[/C][/ROW]
[ROW][C]0.75[/C][C]8.27860055437858[/C][C]0.0410529149568663[/C][/ROW]
[ROW][C]0.76[/C][C]8.28719411705547[/C][C]0.0328765438067888[/C][/ROW]
[ROW][C]0.77[/C][C]8.2942561271364[/C][C]0.0265094119573684[/C][/ROW]
[ROW][C]0.78[/C][C]8.30014585788876[/C][C]0.0217683254333421[/C][/ROW]
[ROW][C]0.79[/C][C]8.3051816729598[/C][C]0.0183892171856191[/C][/ROW]
[ROW][C]0.8[/C][C]8.30962927442654[/C][C]0.0160848004520963[/C][/ROW]
[ROW][C]0.81[/C][C]8.31370097907624[/C][C]0.0145860438537576[/C][/ROW]
[ROW][C]0.82[/C][C]8.31756315659575[/C][C]0.0136865698145564[/C][/ROW]
[ROW][C]0.83[/C][C]8.3213529898686[/C][C]0.0132133415429537[/C][/ROW]
[ROW][C]0.84[/C][C]8.32521296165417[/C][C]0.0131085213905474[/C][/ROW]
[ROW][C]0.85[/C][C]8.32936183592288[/C][C]0.0135275857677824[/C][/ROW]
[ROW][C]0.86[/C][C]8.33423202126842[/C][C]0.0150972451505413[/C][/ROW]
[ROW][C]0.87[/C][C]8.3407054886729[/C][C]0.0193348694775591[/C][/ROW]
[ROW][C]0.88[/C][C]8.350451002087[/C][C]0.0288848074784385[/C][/ROW]
[ROW][C]0.89[/C][C]8.36627071674774[/C][C]0.0470595551983576[/C][/ROW]
[ROW][C]0.9[/C][C]8.39219049834888[/C][C]0.0766937282810156[/C][/ROW]
[ROW][C]0.91[/C][C]8.43285257310386[/C][C]0.117925777915821[/C][/ROW]
[ROW][C]0.92[/C][C]8.49182645344496[/C][C]0.165157123379658[/C][/ROW]
[ROW][C]0.93[/C][C]8.56905999048543[/C][C]0.20544527661684[/C][/ROW]
[ROW][C]0.94[/C][C]8.65886132731454[/C][C]0.222030523813029[/C][/ROW]
[ROW][C]0.95[/C][C]8.75069674283368[/C][C]0.204184101291078[/C][/ROW]
[ROW][C]0.96[/C][C]8.8340475048993[/C][C]0.1582631517862[/C][/ROW]
[ROW][C]0.97[/C][C]8.9047063588852[/C][C]0.108742567277643[/C][/ROW]
[ROW][C]0.98[/C][C]8.96576563246058[/C][C]0.0791233884939836[/C][/ROW]
[ROW][C]0.99[/C][C]9.01831136375574[/C][C]0.0621293183345934[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=127199&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=127199&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
0.016.809006304912760.0166871146521852
0.026.821416513723920.0149700863519629
0.036.832848146266160.015696439889444
0.046.843011307382120.0171652513697597
0.056.852485094628360.0184057471772309
0.066.861503447603230.0190920002619857
0.076.870055965679180.0192561346153211
0.086.878107094002380.019163723901602
0.096.885705606016780.01922610026198
0.16.89301749291710.0199223076251453
0.116.90031223052930.021632670355063
0.126.907918526801920.0245269583727611
0.136.916164485800680.0284941105120407
0.146.925319293581180.0331988568216023
0.156.935553431662340.0382244887215175
0.166.946928633453170.0432045370152323
0.176.959417772864570.0479595730547925
0.186.9729438022790.0524464472107763
0.196.987421796267230.0567608526894826
0.27.002791070841950.0610746194384947
0.217.019031940021590.0655193602100749
0.227.036168580301560.0702653534239658
0.237.054262401169240.0754322119844317
0.247.073399662263460.0810979819033796
0.257.093675456301910.0872851130143805
0.267.11517579028230.0938706124184413
0.277.137960554877060.100700374126123
0.287.162051239794650.107523130134324
0.297.187426754464720.114118389220931
0.37.214028231764730.120336252247576
0.317.241770230630620.12610873262283
0.327.270553017517410.131433346358645
0.337.300269974156370.136321089457992
0.347.330806017016910.140749869715064
0.357.362026522566160.144573137717373
0.367.39376029051410.14755512597499
0.377.425783138328240.149355983984376
0.387.457809789177810.149610506881464
0.397.489500401636280.148017005511076
0.47.52048466522050.144432654360349
0.417.550401689597330.138968519137864
0.427.578949154794070.131992239796928
0.437.605931660464370.124142667991459
0.447.63129696771860.116243841530507
0.457.655150380072260.109176432546281
0.467.677741662318640.103739649632327
0.477.699424761608610.100442058803257
0.487.720596815888340.0993960165955666
0.497.741628021425280.100246542763435
0.57.762796627187130.102256469034214
0.517.78424290631860.104512277575826
0.527.805952407139450.106107848530765
0.537.82777281203450.106383633966712
0.547.849461607450420.104996171182853
0.557.87075504848510.102003175372199
0.567.891444059428630.0978972811923235
0.577.911440791619290.093462209361832
0.587.930820960245440.0897088488129926
0.597.949831517876270.0876381917899944
0.67.968859855116010.0880103422674436
0.617.988368359472430.0910815777781224
0.628.008805465362130.0965026029166589
0.638.030509923728080.103361678038805
0.648.053627654048180.110424069391947
0.658.07805928599140.116330785561127
0.668.103451076778750.119855255766075
0.678.129233019264770.120114347540685
0.688.154697475374710.116693982538144
0.698.179102254989980.10972989939234
0.78.201776461409620.0998284365546155
0.718.222207460388140.087938584811398
0.728.240093079127430.0751804579856383
0.738.255352764817630.0626017681060454
0.748.268101798981420.0510396377760282
0.758.278600554378580.0410529149568663
0.768.287194117055470.0328765438067888
0.778.29425612713640.0265094119573684
0.788.300145857888760.0217683254333421
0.798.30518167295980.0183892171856191
0.88.309629274426540.0160848004520963
0.818.313700979076240.0145860438537576
0.828.317563156595750.0136865698145564
0.838.32135298986860.0132133415429537
0.848.325212961654170.0131085213905474
0.858.329361835922880.0135275857677824
0.868.334232021268420.0150972451505413
0.878.34070548867290.0193348694775591
0.888.3504510020870.0288848074784385
0.898.366270716747740.0470595551983576
0.98.392190498348880.0766937282810156
0.918.432852573103860.117925777915821
0.928.491826453444960.165157123379658
0.938.569059990485430.20544527661684
0.948.658861327314540.222030523813029
0.958.750696742833680.204184101291078
0.968.83404750489930.1582631517862
0.978.90470635888520.108742567277643
0.988.965765632460580.0791233884939836
0.999.018311363755740.0621293183345934


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')