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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 computationThu, 21 Feb 2013 11:34:06 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Feb/21/t136146445474yleu5f9w5askr.htm/, Retrieved Thu, 02 May 2024 22:28:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=206805, Retrieved Thu, 02 May 2024 22:28:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact63

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] [] [2013-02-21 16:34:06] [d299705eb289d47d3db9039788329b5a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
16,68
16,68
16,69
16,61
16,58
16,6
16,6
16,62
16,62
16,6
16,63
16,66
16,66
16,65
16,5
16,39
16,34
16,35
16,35
16,38
16,36
16,38
16,39
16,41
16,41
16,41
16,45
16,41
16,44
16,47
16,47
16,49
16,54
16,62
16,69
16,72
16,72
16,71
16,89
16,93
16,91
16,93
16,93
16,93
16,95
16,93
16,95
16,95
16,95
16,95
16,92
16,91
16,9
16,96
16,96
16,95
16,92
16,87
16,87
16,88
16,88
16,86
16,88
16,88
16,88
16,88
16,88
16,87
16,92
16,94
17,03
17,02

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=206805&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=206805&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206805&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
0.0116.34292260386710.00836744330482475
0.0216.3474194978880.00808687511259681
0.0316.35256014741080.0101977495958649
0.0416.35811698799710.0130203270711995
0.0516.36404955630970.0150538782342384
0.0616.37018535726970.0159618433952697
0.0716.37628013647280.0161294953752525
0.0816.38216367913890.0161269929083661
0.0916.38779998649850.016355229251926
0.116.39326430420180.0170359622589806
0.1116.39869348344230.0182342545544482
0.1216.40424664472410.019993619354352
0.1316.41008334275860.0223621162117816
0.1416.41635200365580.0253052370478953
0.1516.42318125400670.0287541305641704
0.1616.43067182289650.0325495012508465
0.1716.43889026655150.0365410320887259
0.1816.44786598884790.0405786590505303
0.1916.45759132307430.0445580426182563
0.216.46802297153460.0483194176073052
0.2116.47908310085470.0517355197814134
0.2216.49065972663840.0545846328589249
0.2316.50260768757670.0566950844096242
0.2416.51475243859160.0578674833561403
0.2516.52689855329430.0579623595088852
0.2616.53884339252730.0570012328604953
0.2716.55039454053660.054997649567468
0.2816.56138811871550.0521711559928356
0.2916.57170451068720.0487970876087663
0.316.58127851573130.0451631793565005
0.3116.59010224840810.0416119180872034
0.3216.59822075155250.0384186952440425
0.3316.60572179129250.0357974780568113
0.3416.61272229226760.0338891340629468
0.3516.61935419179360.0327428570201552
0.3616.62575218415620.0322977174751706
0.3716.63204506499060.0324587677086375
0.3816.63835139908810.033192434277851
0.3916.64477924015650.034407750750616
0.416.65142879821840.0360704228063235
0.4116.65839639333730.0382139895756647
0.4216.66577781650340.0408971917686544
0.4316.67366936053820.0441245385329819
0.4416.68216526642480.0479375352808545
0.4516.69135109046980.0522706200604411
0.4616.70129342416560.0569695050645101
0.4716.71202733583910.0618359968016953
0.4816.72354366787450.0665474134645258
0.4916.73577873724090.07072563465951
0.516.74860891961340.0740131516440289
0.5116.76185200690230.0760646159688548
0.5216.77527618744860.0765995042691092
0.5316.78861619286080.0755144943050006
0.5416.80159484870280.0727643631075482
0.5516.81394723803920.0684826238146408
0.5616.82544416292730.0629609081452814
0.5716.83591168081510.056547874209621
0.5816.84524416873490.0496847843186358
0.5916.85340946467960.0427760868151492
0.616.86044590570110.0362352628474089
0.6116.86645226441280.0303770445517869
0.6216.87157246985670.0254500220180624
0.6316.87597747083510.0215815967197407
0.6416.87984665143830.0188377206448724
0.6516.88335091596760.017107040405134
0.6616.88663904489690.0162546579533525
0.6716.88982830951370.0159899608151827
0.6816.89299972008480.0160991232082904
0.6916.89619773624930.0163297731179681
0.716.89943382664160.0165010804271289
0.7116.90269295009220.0164966712230286
0.7216.90594185848610.0162441806067094
0.7316.90913809714250.0157409945096799
0.7416.91223868807750.0149977687540375
0.7516.91520768125570.0140763075106137
0.7616.91802198007110.0130557449286443
0.7716.92067501846750.0120240259525803
0.7816.92317795241690.0110692309263003
0.7916.92555806295160.0102814658588231
0.816.9278541657310.0097133234872413
0.8116.93010913662160.00939392802382522
0.8216.93236029863380.00929711095839903
0.8316.93462932347260.00930384572236771
0.8416.93691421469840.00929653406081258
0.8516.93918641820130.00913084420777181
0.8616.94139570997050.00870331463398158
0.8716.94348407642080.00797831481166958
0.8816.9454077116930.00700873252530925
0.8916.94716457879330.00595342135268332
0.916.9488252776890.00506336182708464
0.9116.95056829504290.00469692677744694
0.9216.95272503524770.00530638404822052
0.9316.95583593244410.00732766945006299
0.9416.96068831994730.011224360933657
0.9516.96823813001520.0173082786561806
0.9616.9792511012230.0248201203248629
0.9716.99357120301330.0306708346949582
0.9817.00929518423260.0298445106850717
0.9917.02270781192170.0201697461863699

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 16.3429226038671 & 0.00836744330482475 \tabularnewline
0.02 & 16.347419497888 & 0.00808687511259681 \tabularnewline
0.03 & 16.3525601474108 & 0.0101977495958649 \tabularnewline
0.04 & 16.3581169879971 & 0.0130203270711995 \tabularnewline
0.05 & 16.3640495563097 & 0.0150538782342384 \tabularnewline
0.06 & 16.3701853572697 & 0.0159618433952697 \tabularnewline
0.07 & 16.3762801364728 & 0.0161294953752525 \tabularnewline
0.08 & 16.3821636791389 & 0.0161269929083661 \tabularnewline
0.09 & 16.3877999864985 & 0.016355229251926 \tabularnewline
0.1 & 16.3932643042018 & 0.0170359622589806 \tabularnewline
0.11 & 16.3986934834423 & 0.0182342545544482 \tabularnewline
0.12 & 16.4042466447241 & 0.019993619354352 \tabularnewline
0.13 & 16.4100833427586 & 0.0223621162117816 \tabularnewline
0.14 & 16.4163520036558 & 0.0253052370478953 \tabularnewline
0.15 & 16.4231812540067 & 0.0287541305641704 \tabularnewline
0.16 & 16.4306718228965 & 0.0325495012508465 \tabularnewline
0.17 & 16.4388902665515 & 0.0365410320887259 \tabularnewline
0.18 & 16.4478659888479 & 0.0405786590505303 \tabularnewline
0.19 & 16.4575913230743 & 0.0445580426182563 \tabularnewline
0.2 & 16.4680229715346 & 0.0483194176073052 \tabularnewline
0.21 & 16.4790831008547 & 0.0517355197814134 \tabularnewline
0.22 & 16.4906597266384 & 0.0545846328589249 \tabularnewline
0.23 & 16.5026076875767 & 0.0566950844096242 \tabularnewline
0.24 & 16.5147524385916 & 0.0578674833561403 \tabularnewline
0.25 & 16.5268985532943 & 0.0579623595088852 \tabularnewline
0.26 & 16.5388433925273 & 0.0570012328604953 \tabularnewline
0.27 & 16.5503945405366 & 0.054997649567468 \tabularnewline
0.28 & 16.5613881187155 & 0.0521711559928356 \tabularnewline
0.29 & 16.5717045106872 & 0.0487970876087663 \tabularnewline
0.3 & 16.5812785157313 & 0.0451631793565005 \tabularnewline
0.31 & 16.5901022484081 & 0.0416119180872034 \tabularnewline
0.32 & 16.5982207515525 & 0.0384186952440425 \tabularnewline
0.33 & 16.6057217912925 & 0.0357974780568113 \tabularnewline
0.34 & 16.6127222922676 & 0.0338891340629468 \tabularnewline
0.35 & 16.6193541917936 & 0.0327428570201552 \tabularnewline
0.36 & 16.6257521841562 & 0.0322977174751706 \tabularnewline
0.37 & 16.6320450649906 & 0.0324587677086375 \tabularnewline
0.38 & 16.6383513990881 & 0.033192434277851 \tabularnewline
0.39 & 16.6447792401565 & 0.034407750750616 \tabularnewline
0.4 & 16.6514287982184 & 0.0360704228063235 \tabularnewline
0.41 & 16.6583963933373 & 0.0382139895756647 \tabularnewline
0.42 & 16.6657778165034 & 0.0408971917686544 \tabularnewline
0.43 & 16.6736693605382 & 0.0441245385329819 \tabularnewline
0.44 & 16.6821652664248 & 0.0479375352808545 \tabularnewline
0.45 & 16.6913510904698 & 0.0522706200604411 \tabularnewline
0.46 & 16.7012934241656 & 0.0569695050645101 \tabularnewline
0.47 & 16.7120273358391 & 0.0618359968016953 \tabularnewline
0.48 & 16.7235436678745 & 0.0665474134645258 \tabularnewline
0.49 & 16.7357787372409 & 0.07072563465951 \tabularnewline
0.5 & 16.7486089196134 & 0.0740131516440289 \tabularnewline
0.51 & 16.7618520069023 & 0.0760646159688548 \tabularnewline
0.52 & 16.7752761874486 & 0.0765995042691092 \tabularnewline
0.53 & 16.7886161928608 & 0.0755144943050006 \tabularnewline
0.54 & 16.8015948487028 & 0.0727643631075482 \tabularnewline
0.55 & 16.8139472380392 & 0.0684826238146408 \tabularnewline
0.56 & 16.8254441629273 & 0.0629609081452814 \tabularnewline
0.57 & 16.8359116808151 & 0.056547874209621 \tabularnewline
0.58 & 16.8452441687349 & 0.0496847843186358 \tabularnewline
0.59 & 16.8534094646796 & 0.0427760868151492 \tabularnewline
0.6 & 16.8604459057011 & 0.0362352628474089 \tabularnewline
0.61 & 16.8664522644128 & 0.0303770445517869 \tabularnewline
0.62 & 16.8715724698567 & 0.0254500220180624 \tabularnewline
0.63 & 16.8759774708351 & 0.0215815967197407 \tabularnewline
0.64 & 16.8798466514383 & 0.0188377206448724 \tabularnewline
0.65 & 16.8833509159676 & 0.017107040405134 \tabularnewline
0.66 & 16.8866390448969 & 0.0162546579533525 \tabularnewline
0.67 & 16.8898283095137 & 0.0159899608151827 \tabularnewline
0.68 & 16.8929997200848 & 0.0160991232082904 \tabularnewline
0.69 & 16.8961977362493 & 0.0163297731179681 \tabularnewline
0.7 & 16.8994338266416 & 0.0165010804271289 \tabularnewline
0.71 & 16.9026929500922 & 0.0164966712230286 \tabularnewline
0.72 & 16.9059418584861 & 0.0162441806067094 \tabularnewline
0.73 & 16.9091380971425 & 0.0157409945096799 \tabularnewline
0.74 & 16.9122386880775 & 0.0149977687540375 \tabularnewline
0.75 & 16.9152076812557 & 0.0140763075106137 \tabularnewline
0.76 & 16.9180219800711 & 0.0130557449286443 \tabularnewline
0.77 & 16.9206750184675 & 0.0120240259525803 \tabularnewline
0.78 & 16.9231779524169 & 0.0110692309263003 \tabularnewline
0.79 & 16.9255580629516 & 0.0102814658588231 \tabularnewline
0.8 & 16.927854165731 & 0.0097133234872413 \tabularnewline
0.81 & 16.9301091366216 & 0.00939392802382522 \tabularnewline
0.82 & 16.9323602986338 & 0.00929711095839903 \tabularnewline
0.83 & 16.9346293234726 & 0.00930384572236771 \tabularnewline
0.84 & 16.9369142146984 & 0.00929653406081258 \tabularnewline
0.85 & 16.9391864182013 & 0.00913084420777181 \tabularnewline
0.86 & 16.9413957099705 & 0.00870331463398158 \tabularnewline
0.87 & 16.9434840764208 & 0.00797831481166958 \tabularnewline
0.88 & 16.945407711693 & 0.00700873252530925 \tabularnewline
0.89 & 16.9471645787933 & 0.00595342135268332 \tabularnewline
0.9 & 16.948825277689 & 0.00506336182708464 \tabularnewline
0.91 & 16.9505682950429 & 0.00469692677744694 \tabularnewline
0.92 & 16.9527250352477 & 0.00530638404822052 \tabularnewline
0.93 & 16.9558359324441 & 0.00732766945006299 \tabularnewline
0.94 & 16.9606883199473 & 0.011224360933657 \tabularnewline
0.95 & 16.9682381300152 & 0.0173082786561806 \tabularnewline
0.96 & 16.979251101223 & 0.0248201203248629 \tabularnewline
0.97 & 16.9935712030133 & 0.0306708346949582 \tabularnewline
0.98 & 17.0092951842326 & 0.0298445106850717 \tabularnewline
0.99 & 17.0227078119217 & 0.0201697461863699 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=206805&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]16.3429226038671[/C][C]0.00836744330482475[/C][/ROW]
[ROW][C]0.02[/C][C]16.347419497888[/C][C]0.00808687511259681[/C][/ROW]
[ROW][C]0.03[/C][C]16.3525601474108[/C][C]0.0101977495958649[/C][/ROW]
[ROW][C]0.04[/C][C]16.3581169879971[/C][C]0.0130203270711995[/C][/ROW]
[ROW][C]0.05[/C][C]16.3640495563097[/C][C]0.0150538782342384[/C][/ROW]
[ROW][C]0.06[/C][C]16.3701853572697[/C][C]0.0159618433952697[/C][/ROW]
[ROW][C]0.07[/C][C]16.3762801364728[/C][C]0.0161294953752525[/C][/ROW]
[ROW][C]0.08[/C][C]16.3821636791389[/C][C]0.0161269929083661[/C][/ROW]
[ROW][C]0.09[/C][C]16.3877999864985[/C][C]0.016355229251926[/C][/ROW]
[ROW][C]0.1[/C][C]16.3932643042018[/C][C]0.0170359622589806[/C][/ROW]
[ROW][C]0.11[/C][C]16.3986934834423[/C][C]0.0182342545544482[/C][/ROW]
[ROW][C]0.12[/C][C]16.4042466447241[/C][C]0.019993619354352[/C][/ROW]
[ROW][C]0.13[/C][C]16.4100833427586[/C][C]0.0223621162117816[/C][/ROW]
[ROW][C]0.14[/C][C]16.4163520036558[/C][C]0.0253052370478953[/C][/ROW]
[ROW][C]0.15[/C][C]16.4231812540067[/C][C]0.0287541305641704[/C][/ROW]
[ROW][C]0.16[/C][C]16.4306718228965[/C][C]0.0325495012508465[/C][/ROW]
[ROW][C]0.17[/C][C]16.4388902665515[/C][C]0.0365410320887259[/C][/ROW]
[ROW][C]0.18[/C][C]16.4478659888479[/C][C]0.0405786590505303[/C][/ROW]
[ROW][C]0.19[/C][C]16.4575913230743[/C][C]0.0445580426182563[/C][/ROW]
[ROW][C]0.2[/C][C]16.4680229715346[/C][C]0.0483194176073052[/C][/ROW]
[ROW][C]0.21[/C][C]16.4790831008547[/C][C]0.0517355197814134[/C][/ROW]
[ROW][C]0.22[/C][C]16.4906597266384[/C][C]0.0545846328589249[/C][/ROW]
[ROW][C]0.23[/C][C]16.5026076875767[/C][C]0.0566950844096242[/C][/ROW]
[ROW][C]0.24[/C][C]16.5147524385916[/C][C]0.0578674833561403[/C][/ROW]
[ROW][C]0.25[/C][C]16.5268985532943[/C][C]0.0579623595088852[/C][/ROW]
[ROW][C]0.26[/C][C]16.5388433925273[/C][C]0.0570012328604953[/C][/ROW]
[ROW][C]0.27[/C][C]16.5503945405366[/C][C]0.054997649567468[/C][/ROW]
[ROW][C]0.28[/C][C]16.5613881187155[/C][C]0.0521711559928356[/C][/ROW]
[ROW][C]0.29[/C][C]16.5717045106872[/C][C]0.0487970876087663[/C][/ROW]
[ROW][C]0.3[/C][C]16.5812785157313[/C][C]0.0451631793565005[/C][/ROW]
[ROW][C]0.31[/C][C]16.5901022484081[/C][C]0.0416119180872034[/C][/ROW]
[ROW][C]0.32[/C][C]16.5982207515525[/C][C]0.0384186952440425[/C][/ROW]
[ROW][C]0.33[/C][C]16.6057217912925[/C][C]0.0357974780568113[/C][/ROW]
[ROW][C]0.34[/C][C]16.6127222922676[/C][C]0.0338891340629468[/C][/ROW]
[ROW][C]0.35[/C][C]16.6193541917936[/C][C]0.0327428570201552[/C][/ROW]
[ROW][C]0.36[/C][C]16.6257521841562[/C][C]0.0322977174751706[/C][/ROW]
[ROW][C]0.37[/C][C]16.6320450649906[/C][C]0.0324587677086375[/C][/ROW]
[ROW][C]0.38[/C][C]16.6383513990881[/C][C]0.033192434277851[/C][/ROW]
[ROW][C]0.39[/C][C]16.6447792401565[/C][C]0.034407750750616[/C][/ROW]
[ROW][C]0.4[/C][C]16.6514287982184[/C][C]0.0360704228063235[/C][/ROW]
[ROW][C]0.41[/C][C]16.6583963933373[/C][C]0.0382139895756647[/C][/ROW]
[ROW][C]0.42[/C][C]16.6657778165034[/C][C]0.0408971917686544[/C][/ROW]
[ROW][C]0.43[/C][C]16.6736693605382[/C][C]0.0441245385329819[/C][/ROW]
[ROW][C]0.44[/C][C]16.6821652664248[/C][C]0.0479375352808545[/C][/ROW]
[ROW][C]0.45[/C][C]16.6913510904698[/C][C]0.0522706200604411[/C][/ROW]
[ROW][C]0.46[/C][C]16.7012934241656[/C][C]0.0569695050645101[/C][/ROW]
[ROW][C]0.47[/C][C]16.7120273358391[/C][C]0.0618359968016953[/C][/ROW]
[ROW][C]0.48[/C][C]16.7235436678745[/C][C]0.0665474134645258[/C][/ROW]
[ROW][C]0.49[/C][C]16.7357787372409[/C][C]0.07072563465951[/C][/ROW]
[ROW][C]0.5[/C][C]16.7486089196134[/C][C]0.0740131516440289[/C][/ROW]
[ROW][C]0.51[/C][C]16.7618520069023[/C][C]0.0760646159688548[/C][/ROW]
[ROW][C]0.52[/C][C]16.7752761874486[/C][C]0.0765995042691092[/C][/ROW]
[ROW][C]0.53[/C][C]16.7886161928608[/C][C]0.0755144943050006[/C][/ROW]
[ROW][C]0.54[/C][C]16.8015948487028[/C][C]0.0727643631075482[/C][/ROW]
[ROW][C]0.55[/C][C]16.8139472380392[/C][C]0.0684826238146408[/C][/ROW]
[ROW][C]0.56[/C][C]16.8254441629273[/C][C]0.0629609081452814[/C][/ROW]
[ROW][C]0.57[/C][C]16.8359116808151[/C][C]0.056547874209621[/C][/ROW]
[ROW][C]0.58[/C][C]16.8452441687349[/C][C]0.0496847843186358[/C][/ROW]
[ROW][C]0.59[/C][C]16.8534094646796[/C][C]0.0427760868151492[/C][/ROW]
[ROW][C]0.6[/C][C]16.8604459057011[/C][C]0.0362352628474089[/C][/ROW]
[ROW][C]0.61[/C][C]16.8664522644128[/C][C]0.0303770445517869[/C][/ROW]
[ROW][C]0.62[/C][C]16.8715724698567[/C][C]0.0254500220180624[/C][/ROW]
[ROW][C]0.63[/C][C]16.8759774708351[/C][C]0.0215815967197407[/C][/ROW]
[ROW][C]0.64[/C][C]16.8798466514383[/C][C]0.0188377206448724[/C][/ROW]
[ROW][C]0.65[/C][C]16.8833509159676[/C][C]0.017107040405134[/C][/ROW]
[ROW][C]0.66[/C][C]16.8866390448969[/C][C]0.0162546579533525[/C][/ROW]
[ROW][C]0.67[/C][C]16.8898283095137[/C][C]0.0159899608151827[/C][/ROW]
[ROW][C]0.68[/C][C]16.8929997200848[/C][C]0.0160991232082904[/C][/ROW]
[ROW][C]0.69[/C][C]16.8961977362493[/C][C]0.0163297731179681[/C][/ROW]
[ROW][C]0.7[/C][C]16.8994338266416[/C][C]0.0165010804271289[/C][/ROW]
[ROW][C]0.71[/C][C]16.9026929500922[/C][C]0.0164966712230286[/C][/ROW]
[ROW][C]0.72[/C][C]16.9059418584861[/C][C]0.0162441806067094[/C][/ROW]
[ROW][C]0.73[/C][C]16.9091380971425[/C][C]0.0157409945096799[/C][/ROW]
[ROW][C]0.74[/C][C]16.9122386880775[/C][C]0.0149977687540375[/C][/ROW]
[ROW][C]0.75[/C][C]16.9152076812557[/C][C]0.0140763075106137[/C][/ROW]
[ROW][C]0.76[/C][C]16.9180219800711[/C][C]0.0130557449286443[/C][/ROW]
[ROW][C]0.77[/C][C]16.9206750184675[/C][C]0.0120240259525803[/C][/ROW]
[ROW][C]0.78[/C][C]16.9231779524169[/C][C]0.0110692309263003[/C][/ROW]
[ROW][C]0.79[/C][C]16.9255580629516[/C][C]0.0102814658588231[/C][/ROW]
[ROW][C]0.8[/C][C]16.927854165731[/C][C]0.0097133234872413[/C][/ROW]
[ROW][C]0.81[/C][C]16.9301091366216[/C][C]0.00939392802382522[/C][/ROW]
[ROW][C]0.82[/C][C]16.9323602986338[/C][C]0.00929711095839903[/C][/ROW]
[ROW][C]0.83[/C][C]16.9346293234726[/C][C]0.00930384572236771[/C][/ROW]
[ROW][C]0.84[/C][C]16.9369142146984[/C][C]0.00929653406081258[/C][/ROW]
[ROW][C]0.85[/C][C]16.9391864182013[/C][C]0.00913084420777181[/C][/ROW]
[ROW][C]0.86[/C][C]16.9413957099705[/C][C]0.00870331463398158[/C][/ROW]
[ROW][C]0.87[/C][C]16.9434840764208[/C][C]0.00797831481166958[/C][/ROW]
[ROW][C]0.88[/C][C]16.945407711693[/C][C]0.00700873252530925[/C][/ROW]
[ROW][C]0.89[/C][C]16.9471645787933[/C][C]0.00595342135268332[/C][/ROW]
[ROW][C]0.9[/C][C]16.948825277689[/C][C]0.00506336182708464[/C][/ROW]
[ROW][C]0.91[/C][C]16.9505682950429[/C][C]0.00469692677744694[/C][/ROW]
[ROW][C]0.92[/C][C]16.9527250352477[/C][C]0.00530638404822052[/C][/ROW]
[ROW][C]0.93[/C][C]16.9558359324441[/C][C]0.00732766945006299[/C][/ROW]
[ROW][C]0.94[/C][C]16.9606883199473[/C][C]0.011224360933657[/C][/ROW]
[ROW][C]0.95[/C][C]16.9682381300152[/C][C]0.0173082786561806[/C][/ROW]
[ROW][C]0.96[/C][C]16.979251101223[/C][C]0.0248201203248629[/C][/ROW]
[ROW][C]0.97[/C][C]16.9935712030133[/C][C]0.0306708346949582[/C][/ROW]
[ROW][C]0.98[/C][C]17.0092951842326[/C][C]0.0298445106850717[/C][/ROW]
[ROW][C]0.99[/C][C]17.0227078119217[/C][C]0.0201697461863699[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=206805&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=206805&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
0.0116.34292260386710.00836744330482475
0.0216.3474194978880.00808687511259681
0.0316.35256014741080.0101977495958649
0.0416.35811698799710.0130203270711995
0.0516.36404955630970.0150538782342384
0.0616.37018535726970.0159618433952697
0.0716.37628013647280.0161294953752525
0.0816.38216367913890.0161269929083661
0.0916.38779998649850.016355229251926
0.116.39326430420180.0170359622589806
0.1116.39869348344230.0182342545544482
0.1216.40424664472410.019993619354352
0.1316.41008334275860.0223621162117816
0.1416.41635200365580.0253052370478953
0.1516.42318125400670.0287541305641704
0.1616.43067182289650.0325495012508465
0.1716.43889026655150.0365410320887259
0.1816.44786598884790.0405786590505303
0.1916.45759132307430.0445580426182563
0.216.46802297153460.0483194176073052
0.2116.47908310085470.0517355197814134
0.2216.49065972663840.0545846328589249
0.2316.50260768757670.0566950844096242
0.2416.51475243859160.0578674833561403
0.2516.52689855329430.0579623595088852
0.2616.53884339252730.0570012328604953
0.2716.55039454053660.054997649567468
0.2816.56138811871550.0521711559928356
0.2916.57170451068720.0487970876087663
0.316.58127851573130.0451631793565005
0.3116.59010224840810.0416119180872034
0.3216.59822075155250.0384186952440425
0.3316.60572179129250.0357974780568113
0.3416.61272229226760.0338891340629468
0.3516.61935419179360.0327428570201552
0.3616.62575218415620.0322977174751706
0.3716.63204506499060.0324587677086375
0.3816.63835139908810.033192434277851
0.3916.64477924015650.034407750750616
0.416.65142879821840.0360704228063235
0.4116.65839639333730.0382139895756647
0.4216.66577781650340.0408971917686544
0.4316.67366936053820.0441245385329819
0.4416.68216526642480.0479375352808545
0.4516.69135109046980.0522706200604411
0.4616.70129342416560.0569695050645101
0.4716.71202733583910.0618359968016953
0.4816.72354366787450.0665474134645258
0.4916.73577873724090.07072563465951
0.516.74860891961340.0740131516440289
0.5116.76185200690230.0760646159688548
0.5216.77527618744860.0765995042691092
0.5316.78861619286080.0755144943050006
0.5416.80159484870280.0727643631075482
0.5516.81394723803920.0684826238146408
0.5616.82544416292730.0629609081452814
0.5716.83591168081510.056547874209621
0.5816.84524416873490.0496847843186358
0.5916.85340946467960.0427760868151492
0.616.86044590570110.0362352628474089
0.6116.86645226441280.0303770445517869
0.6216.87157246985670.0254500220180624
0.6316.87597747083510.0215815967197407
0.6416.87984665143830.0188377206448724
0.6516.88335091596760.017107040405134
0.6616.88663904489690.0162546579533525
0.6716.88982830951370.0159899608151827
0.6816.89299972008480.0160991232082904
0.6916.89619773624930.0163297731179681
0.716.89943382664160.0165010804271289
0.7116.90269295009220.0164966712230286
0.7216.90594185848610.0162441806067094
0.7316.90913809714250.0157409945096799
0.7416.91223868807750.0149977687540375
0.7516.91520768125570.0140763075106137
0.7616.91802198007110.0130557449286443
0.7716.92067501846750.0120240259525803
0.7816.92317795241690.0110692309263003
0.7916.92555806295160.0102814658588231
0.816.9278541657310.0097133234872413
0.8116.93010913662160.00939392802382522
0.8216.93236029863380.00929711095839903
0.8316.93462932347260.00930384572236771
0.8416.93691421469840.00929653406081258
0.8516.93918641820130.00913084420777181
0.8616.94139570997050.00870331463398158
0.8716.94348407642080.00797831481166958
0.8816.9454077116930.00700873252530925
0.8916.94716457879330.00595342135268332
0.916.9488252776890.00506336182708464
0.9116.95056829504290.00469692677744694
0.9216.95272503524770.00530638404822052
0.9316.95583593244410.00732766945006299
0.9416.96068831994730.011224360933657
0.9516.96823813001520.0173082786561806
0.9616.9792511012230.0248201203248629
0.9716.99357120301330.0306708346949582
0.9817.00929518423260.0298445106850717
0.9917.02270781192170.0201697461863699


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')