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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 computationSat, 18 Oct 2008 12:33:55 -0600
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Oct/18/t12243548838nj28lwihs154t4.htm/, Retrieved Sun, 19 May 2024 13:08:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=16694, Retrieved Sun, 19 May 2024 13:08:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact181

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Datareeks - Prijs...] [2008-09-25 07:30:21] [74be16979710d4c4e7c6647856088456]
- RMPD    [Harrell-Davis Quantiles] [H-D Percentielen ...] [2008-10-18 18:33:55] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
18.33
18.22
18.21
18.06
18.26
18.21
18.05
18.25
18.27
18.28
18.13
18.01
18.02
17.97
18.06
18.08
18.23
18.06
18.23
18.17
18.27
18.33
18.18
18.29
18.33
18.31
18.44
18.63
18.37
18.59
18.72
18.75
18.87
18.83
18.89
18.78
19.27
19.19
19.43
19.36
19.39
19.07
19.31
19.19
19.06
19.05
19.49
19.25
19.76
20.35
19.61
19.33
18.95
18.97
19.28
19.41
18.99
19.37
19.63
19.53
19.86
20.13
19.47
19.49
18.95
19.33
19.65
19.44
19.73
18.89
19.56
19.56

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'Gwilym Jenkins' @ 72.249.127.135

\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 & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16694&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16694&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16694&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'Gwilym Jenkins' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0117.98160504833910.0333052987535994
0.0217.99818565705490.0272335436529892
0.0318.01435385486580.0245768501354076
0.0418.02827523784480.0239790437820786
0.0518.040237985650.0240549863807687
0.0618.05108459745210.0255045419243245
0.0718.06167416607940.0293520318228557
0.0818.07276344888290.035426441471333
0.0918.08489464537150.0424358377583639
0.118.09828033466980.0489300402465902
0.1118.11277285111460.0536520004779768
0.1218.12794167449490.055995511780172
0.1318.14321744150020.0558852891814912
0.1418.15804216699490.0537368679647863
0.1518.17198053056240.0502210618723362
0.1618.18477401013380.0461242420054813
0.1718.19634259608590.0420978843075194
0.1818.20675148777540.0385951257503951
0.1918.21616287435470.0359203827908588
0.218.22478909363530.0341548316623197
0.2118.23285704033210.0332746958993507
0.2218.24058750558270.0332365797645784
0.2318.24818859915380.0339941974705257
0.2418.25585982559510.0355815845717603
0.2518.26380240842250.0381133773826774
0.2618.27223152139590.0417410746353733
0.2718.28138668280630.0467463938191721
0.2818.29153735907720.0533323072855394
0.2918.30298166524160.0616829197612706
0.318.31603695332190.0718632699655632
0.3118.33102212558210.0838872328181475
0.3218.34823274500970.097496123435983
0.3318.36791137074410.112286212113562
0.3418.39021680709410.127693709260865
0.3518.41519680615560.143014043902372
0.3618.44276889462890.157428714104321
0.3718.47271322310470.170148098488547
0.3818.50467970140610.180490332555964
0.3918.53820947075090.187921031546560
0.418.57276843555700.192103676582405
0.4118.60778864735640.193021148561964
0.4218.64271221518430.190854689621260
0.4318.67703231302640.186013181226654
0.4418.71032671051600.179050564209399
0.4518.74228079154840.170638352422324
0.4618.77269884531170.161487302963768
0.4718.80150410947420.152229453337122
0.4818.82872931011730.143433964577760
0.4918.85450013162190.135603291028041
0.518.87901418155270.129109134920952
0.5118.90251773524680.124147809245440
0.5218.92528205687320.120797140305568
0.5318.94758059596820.119009288838092
0.5418.96966799117620.118612080769657
0.5518.99176163375780.119349891889201
0.5619.01402652776380.120838370672523
0.5719.03656424551780.122710953962444
0.5819.05940680158030.124480891130066
0.5919.08251614930310.125800051091335
0.619.10578967620780.126280830953665
0.6119.12907153589660.125663441956985
0.6219.15216897289540.123779838223509
0.6319.17487209794930.120647046829205
0.6419.19697500807310.116288498214758
0.6519.21829585954980.110946237615258
0.6619.23869358317200.104866885922437
0.6719.25807939063770.0984253509815344
0.6819.27642198525280.091948563559908
0.6919.29374631702750.0857331086404766
0.719.31012663750900.0800828316969184
0.7119.32567534914710.0751530840799606
0.7219.3405295905830.0710391019770508
0.7319.35483760364960.0677424737518154
0.7419.36874670903670.0652195780725535
0.7519.38239424690150.0633571214455861
0.7619.39590221626390.0620081287276436
0.7719.40937568054470.0610604283119916
0.7819.42290439999460.0604263917162869
0.7919.43656670353480.0600215318143193
0.819.45043441596620.0598177319015543
0.8119.46457778998550.0598056000187122
0.8219.47906989119280.0599586753562998
0.8319.49399069728230.0602966680506832
0.8419.50943212375600.0608162559419555
0.8519.5255059781720.0615200334842878
0.8619.54235715336950.0624635465237929
0.8719.56018415403840.063753411647668
0.8819.57926909611900.0655614780108268
0.8919.60002181828650.0681752930876339
0.919.6230508790170.0719382733054192
0.9119.64928863161140.0773251261440283
0.9219.68020809903590.0851251271622479
0.9319.71814571845150.0967990489759786
0.9419.76664032398950.114787982253226
0.9519.83048611737220.141255049637663
0.9619.91489070625730.174546908126393
0.9720.02274192382410.205572604019696
0.9820.14872973876220.221257482508636
0.9920.27094873010120.220019451840564

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 17.9816050483391 & 0.0333052987535994 \tabularnewline
0.02 & 17.9981856570549 & 0.0272335436529892 \tabularnewline
0.03 & 18.0143538548658 & 0.0245768501354076 \tabularnewline
0.04 & 18.0282752378448 & 0.0239790437820786 \tabularnewline
0.05 & 18.04023798565 & 0.0240549863807687 \tabularnewline
0.06 & 18.0510845974521 & 0.0255045419243245 \tabularnewline
0.07 & 18.0616741660794 & 0.0293520318228557 \tabularnewline
0.08 & 18.0727634488829 & 0.035426441471333 \tabularnewline
0.09 & 18.0848946453715 & 0.0424358377583639 \tabularnewline
0.1 & 18.0982803346698 & 0.0489300402465902 \tabularnewline
0.11 & 18.1127728511146 & 0.0536520004779768 \tabularnewline
0.12 & 18.1279416744949 & 0.055995511780172 \tabularnewline
0.13 & 18.1432174415002 & 0.0558852891814912 \tabularnewline
0.14 & 18.1580421669949 & 0.0537368679647863 \tabularnewline
0.15 & 18.1719805305624 & 0.0502210618723362 \tabularnewline
0.16 & 18.1847740101338 & 0.0461242420054813 \tabularnewline
0.17 & 18.1963425960859 & 0.0420978843075194 \tabularnewline
0.18 & 18.2067514877754 & 0.0385951257503951 \tabularnewline
0.19 & 18.2161628743547 & 0.0359203827908588 \tabularnewline
0.2 & 18.2247890936353 & 0.0341548316623197 \tabularnewline
0.21 & 18.2328570403321 & 0.0332746958993507 \tabularnewline
0.22 & 18.2405875055827 & 0.0332365797645784 \tabularnewline
0.23 & 18.2481885991538 & 0.0339941974705257 \tabularnewline
0.24 & 18.2558598255951 & 0.0355815845717603 \tabularnewline
0.25 & 18.2638024084225 & 0.0381133773826774 \tabularnewline
0.26 & 18.2722315213959 & 0.0417410746353733 \tabularnewline
0.27 & 18.2813866828063 & 0.0467463938191721 \tabularnewline
0.28 & 18.2915373590772 & 0.0533323072855394 \tabularnewline
0.29 & 18.3029816652416 & 0.0616829197612706 \tabularnewline
0.3 & 18.3160369533219 & 0.0718632699655632 \tabularnewline
0.31 & 18.3310221255821 & 0.0838872328181475 \tabularnewline
0.32 & 18.3482327450097 & 0.097496123435983 \tabularnewline
0.33 & 18.3679113707441 & 0.112286212113562 \tabularnewline
0.34 & 18.3902168070941 & 0.127693709260865 \tabularnewline
0.35 & 18.4151968061556 & 0.143014043902372 \tabularnewline
0.36 & 18.4427688946289 & 0.157428714104321 \tabularnewline
0.37 & 18.4727132231047 & 0.170148098488547 \tabularnewline
0.38 & 18.5046797014061 & 0.180490332555964 \tabularnewline
0.39 & 18.5382094707509 & 0.187921031546560 \tabularnewline
0.4 & 18.5727684355570 & 0.192103676582405 \tabularnewline
0.41 & 18.6077886473564 & 0.193021148561964 \tabularnewline
0.42 & 18.6427122151843 & 0.190854689621260 \tabularnewline
0.43 & 18.6770323130264 & 0.186013181226654 \tabularnewline
0.44 & 18.7103267105160 & 0.179050564209399 \tabularnewline
0.45 & 18.7422807915484 & 0.170638352422324 \tabularnewline
0.46 & 18.7726988453117 & 0.161487302963768 \tabularnewline
0.47 & 18.8015041094742 & 0.152229453337122 \tabularnewline
0.48 & 18.8287293101173 & 0.143433964577760 \tabularnewline
0.49 & 18.8545001316219 & 0.135603291028041 \tabularnewline
0.5 & 18.8790141815527 & 0.129109134920952 \tabularnewline
0.51 & 18.9025177352468 & 0.124147809245440 \tabularnewline
0.52 & 18.9252820568732 & 0.120797140305568 \tabularnewline
0.53 & 18.9475805959682 & 0.119009288838092 \tabularnewline
0.54 & 18.9696679911762 & 0.118612080769657 \tabularnewline
0.55 & 18.9917616337578 & 0.119349891889201 \tabularnewline
0.56 & 19.0140265277638 & 0.120838370672523 \tabularnewline
0.57 & 19.0365642455178 & 0.122710953962444 \tabularnewline
0.58 & 19.0594068015803 & 0.124480891130066 \tabularnewline
0.59 & 19.0825161493031 & 0.125800051091335 \tabularnewline
0.6 & 19.1057896762078 & 0.126280830953665 \tabularnewline
0.61 & 19.1290715358966 & 0.125663441956985 \tabularnewline
0.62 & 19.1521689728954 & 0.123779838223509 \tabularnewline
0.63 & 19.1748720979493 & 0.120647046829205 \tabularnewline
0.64 & 19.1969750080731 & 0.116288498214758 \tabularnewline
0.65 & 19.2182958595498 & 0.110946237615258 \tabularnewline
0.66 & 19.2386935831720 & 0.104866885922437 \tabularnewline
0.67 & 19.2580793906377 & 0.0984253509815344 \tabularnewline
0.68 & 19.2764219852528 & 0.091948563559908 \tabularnewline
0.69 & 19.2937463170275 & 0.0857331086404766 \tabularnewline
0.7 & 19.3101266375090 & 0.0800828316969184 \tabularnewline
0.71 & 19.3256753491471 & 0.0751530840799606 \tabularnewline
0.72 & 19.340529590583 & 0.0710391019770508 \tabularnewline
0.73 & 19.3548376036496 & 0.0677424737518154 \tabularnewline
0.74 & 19.3687467090367 & 0.0652195780725535 \tabularnewline
0.75 & 19.3823942469015 & 0.0633571214455861 \tabularnewline
0.76 & 19.3959022162639 & 0.0620081287276436 \tabularnewline
0.77 & 19.4093756805447 & 0.0610604283119916 \tabularnewline
0.78 & 19.4229043999946 & 0.0604263917162869 \tabularnewline
0.79 & 19.4365667035348 & 0.0600215318143193 \tabularnewline
0.8 & 19.4504344159662 & 0.0598177319015543 \tabularnewline
0.81 & 19.4645777899855 & 0.0598056000187122 \tabularnewline
0.82 & 19.4790698911928 & 0.0599586753562998 \tabularnewline
0.83 & 19.4939906972823 & 0.0602966680506832 \tabularnewline
0.84 & 19.5094321237560 & 0.0608162559419555 \tabularnewline
0.85 & 19.525505978172 & 0.0615200334842878 \tabularnewline
0.86 & 19.5423571533695 & 0.0624635465237929 \tabularnewline
0.87 & 19.5601841540384 & 0.063753411647668 \tabularnewline
0.88 & 19.5792690961190 & 0.0655614780108268 \tabularnewline
0.89 & 19.6000218182865 & 0.0681752930876339 \tabularnewline
0.9 & 19.623050879017 & 0.0719382733054192 \tabularnewline
0.91 & 19.6492886316114 & 0.0773251261440283 \tabularnewline
0.92 & 19.6802080990359 & 0.0851251271622479 \tabularnewline
0.93 & 19.7181457184515 & 0.0967990489759786 \tabularnewline
0.94 & 19.7666403239895 & 0.114787982253226 \tabularnewline
0.95 & 19.8304861173722 & 0.141255049637663 \tabularnewline
0.96 & 19.9148907062573 & 0.174546908126393 \tabularnewline
0.97 & 20.0227419238241 & 0.205572604019696 \tabularnewline
0.98 & 20.1487297387622 & 0.221257482508636 \tabularnewline
0.99 & 20.2709487301012 & 0.220019451840564 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=16694&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]17.9816050483391[/C][C]0.0333052987535994[/C][/ROW]
[ROW][C]0.02[/C][C]17.9981856570549[/C][C]0.0272335436529892[/C][/ROW]
[ROW][C]0.03[/C][C]18.0143538548658[/C][C]0.0245768501354076[/C][/ROW]
[ROW][C]0.04[/C][C]18.0282752378448[/C][C]0.0239790437820786[/C][/ROW]
[ROW][C]0.05[/C][C]18.04023798565[/C][C]0.0240549863807687[/C][/ROW]
[ROW][C]0.06[/C][C]18.0510845974521[/C][C]0.0255045419243245[/C][/ROW]
[ROW][C]0.07[/C][C]18.0616741660794[/C][C]0.0293520318228557[/C][/ROW]
[ROW][C]0.08[/C][C]18.0727634488829[/C][C]0.035426441471333[/C][/ROW]
[ROW][C]0.09[/C][C]18.0848946453715[/C][C]0.0424358377583639[/C][/ROW]
[ROW][C]0.1[/C][C]18.0982803346698[/C][C]0.0489300402465902[/C][/ROW]
[ROW][C]0.11[/C][C]18.1127728511146[/C][C]0.0536520004779768[/C][/ROW]
[ROW][C]0.12[/C][C]18.1279416744949[/C][C]0.055995511780172[/C][/ROW]
[ROW][C]0.13[/C][C]18.1432174415002[/C][C]0.0558852891814912[/C][/ROW]
[ROW][C]0.14[/C][C]18.1580421669949[/C][C]0.0537368679647863[/C][/ROW]
[ROW][C]0.15[/C][C]18.1719805305624[/C][C]0.0502210618723362[/C][/ROW]
[ROW][C]0.16[/C][C]18.1847740101338[/C][C]0.0461242420054813[/C][/ROW]
[ROW][C]0.17[/C][C]18.1963425960859[/C][C]0.0420978843075194[/C][/ROW]
[ROW][C]0.18[/C][C]18.2067514877754[/C][C]0.0385951257503951[/C][/ROW]
[ROW][C]0.19[/C][C]18.2161628743547[/C][C]0.0359203827908588[/C][/ROW]
[ROW][C]0.2[/C][C]18.2247890936353[/C][C]0.0341548316623197[/C][/ROW]
[ROW][C]0.21[/C][C]18.2328570403321[/C][C]0.0332746958993507[/C][/ROW]
[ROW][C]0.22[/C][C]18.2405875055827[/C][C]0.0332365797645784[/C][/ROW]
[ROW][C]0.23[/C][C]18.2481885991538[/C][C]0.0339941974705257[/C][/ROW]
[ROW][C]0.24[/C][C]18.2558598255951[/C][C]0.0355815845717603[/C][/ROW]
[ROW][C]0.25[/C][C]18.2638024084225[/C][C]0.0381133773826774[/C][/ROW]
[ROW][C]0.26[/C][C]18.2722315213959[/C][C]0.0417410746353733[/C][/ROW]
[ROW][C]0.27[/C][C]18.2813866828063[/C][C]0.0467463938191721[/C][/ROW]
[ROW][C]0.28[/C][C]18.2915373590772[/C][C]0.0533323072855394[/C][/ROW]
[ROW][C]0.29[/C][C]18.3029816652416[/C][C]0.0616829197612706[/C][/ROW]
[ROW][C]0.3[/C][C]18.3160369533219[/C][C]0.0718632699655632[/C][/ROW]
[ROW][C]0.31[/C][C]18.3310221255821[/C][C]0.0838872328181475[/C][/ROW]
[ROW][C]0.32[/C][C]18.3482327450097[/C][C]0.097496123435983[/C][/ROW]
[ROW][C]0.33[/C][C]18.3679113707441[/C][C]0.112286212113562[/C][/ROW]
[ROW][C]0.34[/C][C]18.3902168070941[/C][C]0.127693709260865[/C][/ROW]
[ROW][C]0.35[/C][C]18.4151968061556[/C][C]0.143014043902372[/C][/ROW]
[ROW][C]0.36[/C][C]18.4427688946289[/C][C]0.157428714104321[/C][/ROW]
[ROW][C]0.37[/C][C]18.4727132231047[/C][C]0.170148098488547[/C][/ROW]
[ROW][C]0.38[/C][C]18.5046797014061[/C][C]0.180490332555964[/C][/ROW]
[ROW][C]0.39[/C][C]18.5382094707509[/C][C]0.187921031546560[/C][/ROW]
[ROW][C]0.4[/C][C]18.5727684355570[/C][C]0.192103676582405[/C][/ROW]
[ROW][C]0.41[/C][C]18.6077886473564[/C][C]0.193021148561964[/C][/ROW]
[ROW][C]0.42[/C][C]18.6427122151843[/C][C]0.190854689621260[/C][/ROW]
[ROW][C]0.43[/C][C]18.6770323130264[/C][C]0.186013181226654[/C][/ROW]
[ROW][C]0.44[/C][C]18.7103267105160[/C][C]0.179050564209399[/C][/ROW]
[ROW][C]0.45[/C][C]18.7422807915484[/C][C]0.170638352422324[/C][/ROW]
[ROW][C]0.46[/C][C]18.7726988453117[/C][C]0.161487302963768[/C][/ROW]
[ROW][C]0.47[/C][C]18.8015041094742[/C][C]0.152229453337122[/C][/ROW]
[ROW][C]0.48[/C][C]18.8287293101173[/C][C]0.143433964577760[/C][/ROW]
[ROW][C]0.49[/C][C]18.8545001316219[/C][C]0.135603291028041[/C][/ROW]
[ROW][C]0.5[/C][C]18.8790141815527[/C][C]0.129109134920952[/C][/ROW]
[ROW][C]0.51[/C][C]18.9025177352468[/C][C]0.124147809245440[/C][/ROW]
[ROW][C]0.52[/C][C]18.9252820568732[/C][C]0.120797140305568[/C][/ROW]
[ROW][C]0.53[/C][C]18.9475805959682[/C][C]0.119009288838092[/C][/ROW]
[ROW][C]0.54[/C][C]18.9696679911762[/C][C]0.118612080769657[/C][/ROW]
[ROW][C]0.55[/C][C]18.9917616337578[/C][C]0.119349891889201[/C][/ROW]
[ROW][C]0.56[/C][C]19.0140265277638[/C][C]0.120838370672523[/C][/ROW]
[ROW][C]0.57[/C][C]19.0365642455178[/C][C]0.122710953962444[/C][/ROW]
[ROW][C]0.58[/C][C]19.0594068015803[/C][C]0.124480891130066[/C][/ROW]
[ROW][C]0.59[/C][C]19.0825161493031[/C][C]0.125800051091335[/C][/ROW]
[ROW][C]0.6[/C][C]19.1057896762078[/C][C]0.126280830953665[/C][/ROW]
[ROW][C]0.61[/C][C]19.1290715358966[/C][C]0.125663441956985[/C][/ROW]
[ROW][C]0.62[/C][C]19.1521689728954[/C][C]0.123779838223509[/C][/ROW]
[ROW][C]0.63[/C][C]19.1748720979493[/C][C]0.120647046829205[/C][/ROW]
[ROW][C]0.64[/C][C]19.1969750080731[/C][C]0.116288498214758[/C][/ROW]
[ROW][C]0.65[/C][C]19.2182958595498[/C][C]0.110946237615258[/C][/ROW]
[ROW][C]0.66[/C][C]19.2386935831720[/C][C]0.104866885922437[/C][/ROW]
[ROW][C]0.67[/C][C]19.2580793906377[/C][C]0.0984253509815344[/C][/ROW]
[ROW][C]0.68[/C][C]19.2764219852528[/C][C]0.091948563559908[/C][/ROW]
[ROW][C]0.69[/C][C]19.2937463170275[/C][C]0.0857331086404766[/C][/ROW]
[ROW][C]0.7[/C][C]19.3101266375090[/C][C]0.0800828316969184[/C][/ROW]
[ROW][C]0.71[/C][C]19.3256753491471[/C][C]0.0751530840799606[/C][/ROW]
[ROW][C]0.72[/C][C]19.340529590583[/C][C]0.0710391019770508[/C][/ROW]
[ROW][C]0.73[/C][C]19.3548376036496[/C][C]0.0677424737518154[/C][/ROW]
[ROW][C]0.74[/C][C]19.3687467090367[/C][C]0.0652195780725535[/C][/ROW]
[ROW][C]0.75[/C][C]19.3823942469015[/C][C]0.0633571214455861[/C][/ROW]
[ROW][C]0.76[/C][C]19.3959022162639[/C][C]0.0620081287276436[/C][/ROW]
[ROW][C]0.77[/C][C]19.4093756805447[/C][C]0.0610604283119916[/C][/ROW]
[ROW][C]0.78[/C][C]19.4229043999946[/C][C]0.0604263917162869[/C][/ROW]
[ROW][C]0.79[/C][C]19.4365667035348[/C][C]0.0600215318143193[/C][/ROW]
[ROW][C]0.8[/C][C]19.4504344159662[/C][C]0.0598177319015543[/C][/ROW]
[ROW][C]0.81[/C][C]19.4645777899855[/C][C]0.0598056000187122[/C][/ROW]
[ROW][C]0.82[/C][C]19.4790698911928[/C][C]0.0599586753562998[/C][/ROW]
[ROW][C]0.83[/C][C]19.4939906972823[/C][C]0.0602966680506832[/C][/ROW]
[ROW][C]0.84[/C][C]19.5094321237560[/C][C]0.0608162559419555[/C][/ROW]
[ROW][C]0.85[/C][C]19.525505978172[/C][C]0.0615200334842878[/C][/ROW]
[ROW][C]0.86[/C][C]19.5423571533695[/C][C]0.0624635465237929[/C][/ROW]
[ROW][C]0.87[/C][C]19.5601841540384[/C][C]0.063753411647668[/C][/ROW]
[ROW][C]0.88[/C][C]19.5792690961190[/C][C]0.0655614780108268[/C][/ROW]
[ROW][C]0.89[/C][C]19.6000218182865[/C][C]0.0681752930876339[/C][/ROW]
[ROW][C]0.9[/C][C]19.623050879017[/C][C]0.0719382733054192[/C][/ROW]
[ROW][C]0.91[/C][C]19.6492886316114[/C][C]0.0773251261440283[/C][/ROW]
[ROW][C]0.92[/C][C]19.6802080990359[/C][C]0.0851251271622479[/C][/ROW]
[ROW][C]0.93[/C][C]19.7181457184515[/C][C]0.0967990489759786[/C][/ROW]
[ROW][C]0.94[/C][C]19.7666403239895[/C][C]0.114787982253226[/C][/ROW]
[ROW][C]0.95[/C][C]19.8304861173722[/C][C]0.141255049637663[/C][/ROW]
[ROW][C]0.96[/C][C]19.9148907062573[/C][C]0.174546908126393[/C][/ROW]
[ROW][C]0.97[/C][C]20.0227419238241[/C][C]0.205572604019696[/C][/ROW]
[ROW][C]0.98[/C][C]20.1487297387622[/C][C]0.221257482508636[/C][/ROW]
[ROW][C]0.99[/C][C]20.2709487301012[/C][C]0.220019451840564[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=16694&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=16694&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
0.0117.98160504833910.0333052987535994
0.0217.99818565705490.0272335436529892
0.0318.01435385486580.0245768501354076
0.0418.02827523784480.0239790437820786
0.0518.040237985650.0240549863807687
0.0618.05108459745210.0255045419243245
0.0718.06167416607940.0293520318228557
0.0818.07276344888290.035426441471333
0.0918.08489464537150.0424358377583639
0.118.09828033466980.0489300402465902
0.1118.11277285111460.0536520004779768
0.1218.12794167449490.055995511780172
0.1318.14321744150020.0558852891814912
0.1418.15804216699490.0537368679647863
0.1518.17198053056240.0502210618723362
0.1618.18477401013380.0461242420054813
0.1718.19634259608590.0420978843075194
0.1818.20675148777540.0385951257503951
0.1918.21616287435470.0359203827908588
0.218.22478909363530.0341548316623197
0.2118.23285704033210.0332746958993507
0.2218.24058750558270.0332365797645784
0.2318.24818859915380.0339941974705257
0.2418.25585982559510.0355815845717603
0.2518.26380240842250.0381133773826774
0.2618.27223152139590.0417410746353733
0.2718.28138668280630.0467463938191721
0.2818.29153735907720.0533323072855394
0.2918.30298166524160.0616829197612706
0.318.31603695332190.0718632699655632
0.3118.33102212558210.0838872328181475
0.3218.34823274500970.097496123435983
0.3318.36791137074410.112286212113562
0.3418.39021680709410.127693709260865
0.3518.41519680615560.143014043902372
0.3618.44276889462890.157428714104321
0.3718.47271322310470.170148098488547
0.3818.50467970140610.180490332555964
0.3918.53820947075090.187921031546560
0.418.57276843555700.192103676582405
0.4118.60778864735640.193021148561964
0.4218.64271221518430.190854689621260
0.4318.67703231302640.186013181226654
0.4418.71032671051600.179050564209399
0.4518.74228079154840.170638352422324
0.4618.77269884531170.161487302963768
0.4718.80150410947420.152229453337122
0.4818.82872931011730.143433964577760
0.4918.85450013162190.135603291028041
0.518.87901418155270.129109134920952
0.5118.90251773524680.124147809245440
0.5218.92528205687320.120797140305568
0.5318.94758059596820.119009288838092
0.5418.96966799117620.118612080769657
0.5518.99176163375780.119349891889201
0.5619.01402652776380.120838370672523
0.5719.03656424551780.122710953962444
0.5819.05940680158030.124480891130066
0.5919.08251614930310.125800051091335
0.619.10578967620780.126280830953665
0.6119.12907153589660.125663441956985
0.6219.15216897289540.123779838223509
0.6319.17487209794930.120647046829205
0.6419.19697500807310.116288498214758
0.6519.21829585954980.110946237615258
0.6619.23869358317200.104866885922437
0.6719.25807939063770.0984253509815344
0.6819.27642198525280.091948563559908
0.6919.29374631702750.0857331086404766
0.719.31012663750900.0800828316969184
0.7119.32567534914710.0751530840799606
0.7219.3405295905830.0710391019770508
0.7319.35483760364960.0677424737518154
0.7419.36874670903670.0652195780725535
0.7519.38239424690150.0633571214455861
0.7619.39590221626390.0620081287276436
0.7719.40937568054470.0610604283119916
0.7819.42290439999460.0604263917162869
0.7919.43656670353480.0600215318143193
0.819.45043441596620.0598177319015543
0.8119.46457778998550.0598056000187122
0.8219.47906989119280.0599586753562998
0.8319.49399069728230.0602966680506832
0.8419.50943212375600.0608162559419555
0.8519.5255059781720.0615200334842878
0.8619.54235715336950.0624635465237929
0.8719.56018415403840.063753411647668
0.8819.57926909611900.0655614780108268
0.8919.60002181828650.0681752930876339
0.919.6230508790170.0719382733054192
0.9119.64928863161140.0773251261440283
0.9219.68020809903590.0851251271622479
0.9319.71814571845150.0967990489759786
0.9419.76664032398950.114787982253226
0.9519.83048611737220.141255049637663
0.9619.91489070625730.174546908126393
0.9720.02274192382410.205572604019696
0.9820.14872973876220.221257482508636
0.9920.27094873010120.220019451840564


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')