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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, 12 Feb 2015 16:13:50 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2015/Feb/12/t1423757703up0e8kmhclbq7zs.htm/, Retrieved Sat, 16 May 2026 21:19:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=277193, Retrieved Sat, 16 May 2026 21:19:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact266

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] [] [2015-02-12 16:13:50] [4696c8cdb98c635bcaa184793f2e8dd7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.07
2.2
2.29
2.32
2.37
2.38
2.38
2.28
2.22
2.25
2.3
2.3
2.23
2.27
2.3
2.32
2.41
2.43
2.45
2.47
2.46
2.5
2.46
2.43
2.37
2.45
2.53
2.56
2.62
2.67
2.62
2.6
2.53
2.49
2.48
2.44
2.36
2.35
2.44
2.5
2.58
2.55
2.44
2.3
2.24
2.19
2.25
2.28
2.27
2.37
2.47
2.5
2.47
2.61
2.61
2.65
2.43
2.43
2.33
2.27
2.22
2.17
2.28
2.3
2.33
2.44
2.41
2.4
2.34
2.37
2.38
2.3
2.29
2.34
2.35
2.38
2.37
2.45
2.51
2.46
2.42
2.48
2.44
2.43
2.36
2.42
2.42
2.43
2.47
2.54
2.55
2.55
2.49
2.54
2.55
2.5

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'Sir Ronald Aylmer Fisher' @ fisher.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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277193&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277193&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277193&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.108606545707080.0704516770995117
0.022.153236397873140.0407306677543939
0.032.183334115401450.0257075957947365
0.042.201369348399130.0206941237519957
0.052.213568999824770.0190928788341418
0.062.223282588769270.018609291888621
0.072.231810695479820.0186029547778957
0.082.23963042930170.0186177041397465
0.092.246895175327190.0183250489741599
0.12.25361603003860.0176246164539714
0.112.259761407587850.0166022966273791
0.122.265318692854550.0154510094566534
0.132.270318887657660.0143653066790257
0.142.274832028769920.0134823537299531
0.152.278948095294570.0128404538364338
0.162.282757509610310.0124115260014625
0.172.286340082000390.0121494433410317
0.182.289764504292770.0120402067220076
0.192.293094846030910.0121212287113203
0.22.296397821234040.0124647669447206
0.212.299745367668290.0131237687812547
0.222.303210281217950.014094879667361
0.232.306856382033020.0153063108666284
0.242.310727193627180.016624379020069
0.252.314837512478790.0178949524507601
0.262.319170753317220.0189853457590006
0.272.323682571421510.01979389778206
0.282.32830915651120.0202696230408582
0.292.332977546781320.0204054408430134
0.32.337615468525510.0202322027161777
0.312.342159163445430.0198013566276609
0.322.346558792062810.0191749441429998
0.332.35078177719410.0184326662696114
0.342.354814662290460.0176566324928997
0.352.358663806800530.0169410189105561
0.362.36235481205870.0163785598703902
0.372.36593026904690.0160523708749469
0.382.369445430283820.016027221685781
0.392.372961751196880.0163266093273695
0.42.376538796761970.0169155378374176
0.412.380225566198250.0177133648420362
0.422.384052653536590.018603704130916
0.432.388026701143390.0194450567354495
0.442.392128282100010.0200968770104507
0.452.396313733952380.0204517836130308
0.462.400520708814140.0204338504060416
0.472.404676488499020.0200149166235443
0.482.408707609898110.0192250941589267
0.492.412549167052830.0181281610465956
0.52.416152326541920.0168201285453666
0.512.419489047085780.0154237729538735
0.522.42255360310020.0140506672417398
0.532.42536112158820.0127952005366722
0.542.427943817221990.011743791902569
0.552.43034586769710.0109409952956182
0.562.432617891858560.0104051530313564
0.572.434811819447440.0101278372464063
0.582.436976658542120.0100818808181931
0.592.439155373851420.0102214682914195
0.62.441382868768340.0105034156868733
0.612.443684958810610.0108763315594772
0.622.44607822460160.0112966597107555
0.632.448570685543060.0117194113164378
0.642.451163267747410.0121113840763215
0.652.453851992750160.012459243019362
0.662.456630672997950.0127501316495826
0.672.459493711543840.0129990724561693
0.682.462438461594960.0132253668159099
0.692.465466615040710.0134582755841176
0.72.468584326844610.0137178634002952
0.712.471801220569080.0140171812964065
0.722.475128914906710.0143576374246768
0.732.478580019891970.0147298618852305
0.742.482168423882130.0151251988960898
0.752.485911009799630.0155535790371617
0.762.489829851611990.0160399245005202
0.772.493952914034950.0166208512262815
0.782.498310964170780.0173154828444217
0.792.502929344664270.0181049288940072
0.82.507815514974620.018890112857618
0.812.512946200761150.0195187967110051
0.822.518260380584550.0198160629736435
0.832.523664849776620.0196445707732957
0.842.52905684827040.0189791987512959
0.852.534363098250270.0179493098228217
0.862.539587178909060.0168745283726559
0.872.544848846019530.0162257417734586
0.882.550392454551880.0164998078302172
0.892.556542163211460.0179407356353998
0.92.563595868801080.0202512367351367
0.912.57168154359020.0226097883731728
0.922.580641161320380.0239611871284849
0.932.590035229218090.0234813885241677
0.942.599345364751730.0210983512528051
0.952.60837498226390.0178298338448441
0.962.617698359206360.0158168012062479
0.972.628765275707220.0171713242051475
0.982.642964274797860.0203994341297902
0.992.658966185206390.0210658208628785

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.10860654570708 & 0.0704516770995117 \tabularnewline
0.02 & 2.15323639787314 & 0.0407306677543939 \tabularnewline
0.03 & 2.18333411540145 & 0.0257075957947365 \tabularnewline
0.04 & 2.20136934839913 & 0.0206941237519957 \tabularnewline
0.05 & 2.21356899982477 & 0.0190928788341418 \tabularnewline
0.06 & 2.22328258876927 & 0.018609291888621 \tabularnewline
0.07 & 2.23181069547982 & 0.0186029547778957 \tabularnewline
0.08 & 2.2396304293017 & 0.0186177041397465 \tabularnewline
0.09 & 2.24689517532719 & 0.0183250489741599 \tabularnewline
0.1 & 2.2536160300386 & 0.0176246164539714 \tabularnewline
0.11 & 2.25976140758785 & 0.0166022966273791 \tabularnewline
0.12 & 2.26531869285455 & 0.0154510094566534 \tabularnewline
0.13 & 2.27031888765766 & 0.0143653066790257 \tabularnewline
0.14 & 2.27483202876992 & 0.0134823537299531 \tabularnewline
0.15 & 2.27894809529457 & 0.0128404538364338 \tabularnewline
0.16 & 2.28275750961031 & 0.0124115260014625 \tabularnewline
0.17 & 2.28634008200039 & 0.0121494433410317 \tabularnewline
0.18 & 2.28976450429277 & 0.0120402067220076 \tabularnewline
0.19 & 2.29309484603091 & 0.0121212287113203 \tabularnewline
0.2 & 2.29639782123404 & 0.0124647669447206 \tabularnewline
0.21 & 2.29974536766829 & 0.0131237687812547 \tabularnewline
0.22 & 2.30321028121795 & 0.014094879667361 \tabularnewline
0.23 & 2.30685638203302 & 0.0153063108666284 \tabularnewline
0.24 & 2.31072719362718 & 0.016624379020069 \tabularnewline
0.25 & 2.31483751247879 & 0.0178949524507601 \tabularnewline
0.26 & 2.31917075331722 & 0.0189853457590006 \tabularnewline
0.27 & 2.32368257142151 & 0.01979389778206 \tabularnewline
0.28 & 2.3283091565112 & 0.0202696230408582 \tabularnewline
0.29 & 2.33297754678132 & 0.0204054408430134 \tabularnewline
0.3 & 2.33761546852551 & 0.0202322027161777 \tabularnewline
0.31 & 2.34215916344543 & 0.0198013566276609 \tabularnewline
0.32 & 2.34655879206281 & 0.0191749441429998 \tabularnewline
0.33 & 2.3507817771941 & 0.0184326662696114 \tabularnewline
0.34 & 2.35481466229046 & 0.0176566324928997 \tabularnewline
0.35 & 2.35866380680053 & 0.0169410189105561 \tabularnewline
0.36 & 2.3623548120587 & 0.0163785598703902 \tabularnewline
0.37 & 2.3659302690469 & 0.0160523708749469 \tabularnewline
0.38 & 2.36944543028382 & 0.016027221685781 \tabularnewline
0.39 & 2.37296175119688 & 0.0163266093273695 \tabularnewline
0.4 & 2.37653879676197 & 0.0169155378374176 \tabularnewline
0.41 & 2.38022556619825 & 0.0177133648420362 \tabularnewline
0.42 & 2.38405265353659 & 0.018603704130916 \tabularnewline
0.43 & 2.38802670114339 & 0.0194450567354495 \tabularnewline
0.44 & 2.39212828210001 & 0.0200968770104507 \tabularnewline
0.45 & 2.39631373395238 & 0.0204517836130308 \tabularnewline
0.46 & 2.40052070881414 & 0.0204338504060416 \tabularnewline
0.47 & 2.40467648849902 & 0.0200149166235443 \tabularnewline
0.48 & 2.40870760989811 & 0.0192250941589267 \tabularnewline
0.49 & 2.41254916705283 & 0.0181281610465956 \tabularnewline
0.5 & 2.41615232654192 & 0.0168201285453666 \tabularnewline
0.51 & 2.41948904708578 & 0.0154237729538735 \tabularnewline
0.52 & 2.4225536031002 & 0.0140506672417398 \tabularnewline
0.53 & 2.4253611215882 & 0.0127952005366722 \tabularnewline
0.54 & 2.42794381722199 & 0.011743791902569 \tabularnewline
0.55 & 2.4303458676971 & 0.0109409952956182 \tabularnewline
0.56 & 2.43261789185856 & 0.0104051530313564 \tabularnewline
0.57 & 2.43481181944744 & 0.0101278372464063 \tabularnewline
0.58 & 2.43697665854212 & 0.0100818808181931 \tabularnewline
0.59 & 2.43915537385142 & 0.0102214682914195 \tabularnewline
0.6 & 2.44138286876834 & 0.0105034156868733 \tabularnewline
0.61 & 2.44368495881061 & 0.0108763315594772 \tabularnewline
0.62 & 2.4460782246016 & 0.0112966597107555 \tabularnewline
0.63 & 2.44857068554306 & 0.0117194113164378 \tabularnewline
0.64 & 2.45116326774741 & 0.0121113840763215 \tabularnewline
0.65 & 2.45385199275016 & 0.012459243019362 \tabularnewline
0.66 & 2.45663067299795 & 0.0127501316495826 \tabularnewline
0.67 & 2.45949371154384 & 0.0129990724561693 \tabularnewline
0.68 & 2.46243846159496 & 0.0132253668159099 \tabularnewline
0.69 & 2.46546661504071 & 0.0134582755841176 \tabularnewline
0.7 & 2.46858432684461 & 0.0137178634002952 \tabularnewline
0.71 & 2.47180122056908 & 0.0140171812964065 \tabularnewline
0.72 & 2.47512891490671 & 0.0143576374246768 \tabularnewline
0.73 & 2.47858001989197 & 0.0147298618852305 \tabularnewline
0.74 & 2.48216842388213 & 0.0151251988960898 \tabularnewline
0.75 & 2.48591100979963 & 0.0155535790371617 \tabularnewline
0.76 & 2.48982985161199 & 0.0160399245005202 \tabularnewline
0.77 & 2.49395291403495 & 0.0166208512262815 \tabularnewline
0.78 & 2.49831096417078 & 0.0173154828444217 \tabularnewline
0.79 & 2.50292934466427 & 0.0181049288940072 \tabularnewline
0.8 & 2.50781551497462 & 0.018890112857618 \tabularnewline
0.81 & 2.51294620076115 & 0.0195187967110051 \tabularnewline
0.82 & 2.51826038058455 & 0.0198160629736435 \tabularnewline
0.83 & 2.52366484977662 & 0.0196445707732957 \tabularnewline
0.84 & 2.5290568482704 & 0.0189791987512959 \tabularnewline
0.85 & 2.53436309825027 & 0.0179493098228217 \tabularnewline
0.86 & 2.53958717890906 & 0.0168745283726559 \tabularnewline
0.87 & 2.54484884601953 & 0.0162257417734586 \tabularnewline
0.88 & 2.55039245455188 & 0.0164998078302172 \tabularnewline
0.89 & 2.55654216321146 & 0.0179407356353998 \tabularnewline
0.9 & 2.56359586880108 & 0.0202512367351367 \tabularnewline
0.91 & 2.5716815435902 & 0.0226097883731728 \tabularnewline
0.92 & 2.58064116132038 & 0.0239611871284849 \tabularnewline
0.93 & 2.59003522921809 & 0.0234813885241677 \tabularnewline
0.94 & 2.59934536475173 & 0.0210983512528051 \tabularnewline
0.95 & 2.6083749822639 & 0.0178298338448441 \tabularnewline
0.96 & 2.61769835920636 & 0.0158168012062479 \tabularnewline
0.97 & 2.62876527570722 & 0.0171713242051475 \tabularnewline
0.98 & 2.64296427479786 & 0.0203994341297902 \tabularnewline
0.99 & 2.65896618520639 & 0.0210658208628785 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=277193&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]2.10860654570708[/C][C]0.0704516770995117[/C][/ROW]
[ROW][C]0.02[/C][C]2.15323639787314[/C][C]0.0407306677543939[/C][/ROW]
[ROW][C]0.03[/C][C]2.18333411540145[/C][C]0.0257075957947365[/C][/ROW]
[ROW][C]0.04[/C][C]2.20136934839913[/C][C]0.0206941237519957[/C][/ROW]
[ROW][C]0.05[/C][C]2.21356899982477[/C][C]0.0190928788341418[/C][/ROW]
[ROW][C]0.06[/C][C]2.22328258876927[/C][C]0.018609291888621[/C][/ROW]
[ROW][C]0.07[/C][C]2.23181069547982[/C][C]0.0186029547778957[/C][/ROW]
[ROW][C]0.08[/C][C]2.2396304293017[/C][C]0.0186177041397465[/C][/ROW]
[ROW][C]0.09[/C][C]2.24689517532719[/C][C]0.0183250489741599[/C][/ROW]
[ROW][C]0.1[/C][C]2.2536160300386[/C][C]0.0176246164539714[/C][/ROW]
[ROW][C]0.11[/C][C]2.25976140758785[/C][C]0.0166022966273791[/C][/ROW]
[ROW][C]0.12[/C][C]2.26531869285455[/C][C]0.0154510094566534[/C][/ROW]
[ROW][C]0.13[/C][C]2.27031888765766[/C][C]0.0143653066790257[/C][/ROW]
[ROW][C]0.14[/C][C]2.27483202876992[/C][C]0.0134823537299531[/C][/ROW]
[ROW][C]0.15[/C][C]2.27894809529457[/C][C]0.0128404538364338[/C][/ROW]
[ROW][C]0.16[/C][C]2.28275750961031[/C][C]0.0124115260014625[/C][/ROW]
[ROW][C]0.17[/C][C]2.28634008200039[/C][C]0.0121494433410317[/C][/ROW]
[ROW][C]0.18[/C][C]2.28976450429277[/C][C]0.0120402067220076[/C][/ROW]
[ROW][C]0.19[/C][C]2.29309484603091[/C][C]0.0121212287113203[/C][/ROW]
[ROW][C]0.2[/C][C]2.29639782123404[/C][C]0.0124647669447206[/C][/ROW]
[ROW][C]0.21[/C][C]2.29974536766829[/C][C]0.0131237687812547[/C][/ROW]
[ROW][C]0.22[/C][C]2.30321028121795[/C][C]0.014094879667361[/C][/ROW]
[ROW][C]0.23[/C][C]2.30685638203302[/C][C]0.0153063108666284[/C][/ROW]
[ROW][C]0.24[/C][C]2.31072719362718[/C][C]0.016624379020069[/C][/ROW]
[ROW][C]0.25[/C][C]2.31483751247879[/C][C]0.0178949524507601[/C][/ROW]
[ROW][C]0.26[/C][C]2.31917075331722[/C][C]0.0189853457590006[/C][/ROW]
[ROW][C]0.27[/C][C]2.32368257142151[/C][C]0.01979389778206[/C][/ROW]
[ROW][C]0.28[/C][C]2.3283091565112[/C][C]0.0202696230408582[/C][/ROW]
[ROW][C]0.29[/C][C]2.33297754678132[/C][C]0.0204054408430134[/C][/ROW]
[ROW][C]0.3[/C][C]2.33761546852551[/C][C]0.0202322027161777[/C][/ROW]
[ROW][C]0.31[/C][C]2.34215916344543[/C][C]0.0198013566276609[/C][/ROW]
[ROW][C]0.32[/C][C]2.34655879206281[/C][C]0.0191749441429998[/C][/ROW]
[ROW][C]0.33[/C][C]2.3507817771941[/C][C]0.0184326662696114[/C][/ROW]
[ROW][C]0.34[/C][C]2.35481466229046[/C][C]0.0176566324928997[/C][/ROW]
[ROW][C]0.35[/C][C]2.35866380680053[/C][C]0.0169410189105561[/C][/ROW]
[ROW][C]0.36[/C][C]2.3623548120587[/C][C]0.0163785598703902[/C][/ROW]
[ROW][C]0.37[/C][C]2.3659302690469[/C][C]0.0160523708749469[/C][/ROW]
[ROW][C]0.38[/C][C]2.36944543028382[/C][C]0.016027221685781[/C][/ROW]
[ROW][C]0.39[/C][C]2.37296175119688[/C][C]0.0163266093273695[/C][/ROW]
[ROW][C]0.4[/C][C]2.37653879676197[/C][C]0.0169155378374176[/C][/ROW]
[ROW][C]0.41[/C][C]2.38022556619825[/C][C]0.0177133648420362[/C][/ROW]
[ROW][C]0.42[/C][C]2.38405265353659[/C][C]0.018603704130916[/C][/ROW]
[ROW][C]0.43[/C][C]2.38802670114339[/C][C]0.0194450567354495[/C][/ROW]
[ROW][C]0.44[/C][C]2.39212828210001[/C][C]0.0200968770104507[/C][/ROW]
[ROW][C]0.45[/C][C]2.39631373395238[/C][C]0.0204517836130308[/C][/ROW]
[ROW][C]0.46[/C][C]2.40052070881414[/C][C]0.0204338504060416[/C][/ROW]
[ROW][C]0.47[/C][C]2.40467648849902[/C][C]0.0200149166235443[/C][/ROW]
[ROW][C]0.48[/C][C]2.40870760989811[/C][C]0.0192250941589267[/C][/ROW]
[ROW][C]0.49[/C][C]2.41254916705283[/C][C]0.0181281610465956[/C][/ROW]
[ROW][C]0.5[/C][C]2.41615232654192[/C][C]0.0168201285453666[/C][/ROW]
[ROW][C]0.51[/C][C]2.41948904708578[/C][C]0.0154237729538735[/C][/ROW]
[ROW][C]0.52[/C][C]2.4225536031002[/C][C]0.0140506672417398[/C][/ROW]
[ROW][C]0.53[/C][C]2.4253611215882[/C][C]0.0127952005366722[/C][/ROW]
[ROW][C]0.54[/C][C]2.42794381722199[/C][C]0.011743791902569[/C][/ROW]
[ROW][C]0.55[/C][C]2.4303458676971[/C][C]0.0109409952956182[/C][/ROW]
[ROW][C]0.56[/C][C]2.43261789185856[/C][C]0.0104051530313564[/C][/ROW]
[ROW][C]0.57[/C][C]2.43481181944744[/C][C]0.0101278372464063[/C][/ROW]
[ROW][C]0.58[/C][C]2.43697665854212[/C][C]0.0100818808181931[/C][/ROW]
[ROW][C]0.59[/C][C]2.43915537385142[/C][C]0.0102214682914195[/C][/ROW]
[ROW][C]0.6[/C][C]2.44138286876834[/C][C]0.0105034156868733[/C][/ROW]
[ROW][C]0.61[/C][C]2.44368495881061[/C][C]0.0108763315594772[/C][/ROW]
[ROW][C]0.62[/C][C]2.4460782246016[/C][C]0.0112966597107555[/C][/ROW]
[ROW][C]0.63[/C][C]2.44857068554306[/C][C]0.0117194113164378[/C][/ROW]
[ROW][C]0.64[/C][C]2.45116326774741[/C][C]0.0121113840763215[/C][/ROW]
[ROW][C]0.65[/C][C]2.45385199275016[/C][C]0.012459243019362[/C][/ROW]
[ROW][C]0.66[/C][C]2.45663067299795[/C][C]0.0127501316495826[/C][/ROW]
[ROW][C]0.67[/C][C]2.45949371154384[/C][C]0.0129990724561693[/C][/ROW]
[ROW][C]0.68[/C][C]2.46243846159496[/C][C]0.0132253668159099[/C][/ROW]
[ROW][C]0.69[/C][C]2.46546661504071[/C][C]0.0134582755841176[/C][/ROW]
[ROW][C]0.7[/C][C]2.46858432684461[/C][C]0.0137178634002952[/C][/ROW]
[ROW][C]0.71[/C][C]2.47180122056908[/C][C]0.0140171812964065[/C][/ROW]
[ROW][C]0.72[/C][C]2.47512891490671[/C][C]0.0143576374246768[/C][/ROW]
[ROW][C]0.73[/C][C]2.47858001989197[/C][C]0.0147298618852305[/C][/ROW]
[ROW][C]0.74[/C][C]2.48216842388213[/C][C]0.0151251988960898[/C][/ROW]
[ROW][C]0.75[/C][C]2.48591100979963[/C][C]0.0155535790371617[/C][/ROW]
[ROW][C]0.76[/C][C]2.48982985161199[/C][C]0.0160399245005202[/C][/ROW]
[ROW][C]0.77[/C][C]2.49395291403495[/C][C]0.0166208512262815[/C][/ROW]
[ROW][C]0.78[/C][C]2.49831096417078[/C][C]0.0173154828444217[/C][/ROW]
[ROW][C]0.79[/C][C]2.50292934466427[/C][C]0.0181049288940072[/C][/ROW]
[ROW][C]0.8[/C][C]2.50781551497462[/C][C]0.018890112857618[/C][/ROW]
[ROW][C]0.81[/C][C]2.51294620076115[/C][C]0.0195187967110051[/C][/ROW]
[ROW][C]0.82[/C][C]2.51826038058455[/C][C]0.0198160629736435[/C][/ROW]
[ROW][C]0.83[/C][C]2.52366484977662[/C][C]0.0196445707732957[/C][/ROW]
[ROW][C]0.84[/C][C]2.5290568482704[/C][C]0.0189791987512959[/C][/ROW]
[ROW][C]0.85[/C][C]2.53436309825027[/C][C]0.0179493098228217[/C][/ROW]
[ROW][C]0.86[/C][C]2.53958717890906[/C][C]0.0168745283726559[/C][/ROW]
[ROW][C]0.87[/C][C]2.54484884601953[/C][C]0.0162257417734586[/C][/ROW]
[ROW][C]0.88[/C][C]2.55039245455188[/C][C]0.0164998078302172[/C][/ROW]
[ROW][C]0.89[/C][C]2.55654216321146[/C][C]0.0179407356353998[/C][/ROW]
[ROW][C]0.9[/C][C]2.56359586880108[/C][C]0.0202512367351367[/C][/ROW]
[ROW][C]0.91[/C][C]2.5716815435902[/C][C]0.0226097883731728[/C][/ROW]
[ROW][C]0.92[/C][C]2.58064116132038[/C][C]0.0239611871284849[/C][/ROW]
[ROW][C]0.93[/C][C]2.59003522921809[/C][C]0.0234813885241677[/C][/ROW]
[ROW][C]0.94[/C][C]2.59934536475173[/C][C]0.0210983512528051[/C][/ROW]
[ROW][C]0.95[/C][C]2.6083749822639[/C][C]0.0178298338448441[/C][/ROW]
[ROW][C]0.96[/C][C]2.61769835920636[/C][C]0.0158168012062479[/C][/ROW]
[ROW][C]0.97[/C][C]2.62876527570722[/C][C]0.0171713242051475[/C][/ROW]
[ROW][C]0.98[/C][C]2.64296427479786[/C][C]0.0203994341297902[/C][/ROW]
[ROW][C]0.99[/C][C]2.65896618520639[/C][C]0.0210658208628785[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=277193&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=277193&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.108606545707080.0704516770995117
0.022.153236397873140.0407306677543939
0.032.183334115401450.0257075957947365
0.042.201369348399130.0206941237519957
0.052.213568999824770.0190928788341418
0.062.223282588769270.018609291888621
0.072.231810695479820.0186029547778957
0.082.23963042930170.0186177041397465
0.092.246895175327190.0183250489741599
0.12.25361603003860.0176246164539714
0.112.259761407587850.0166022966273791
0.122.265318692854550.0154510094566534
0.132.270318887657660.0143653066790257
0.142.274832028769920.0134823537299531
0.152.278948095294570.0128404538364338
0.162.282757509610310.0124115260014625
0.172.286340082000390.0121494433410317
0.182.289764504292770.0120402067220076
0.192.293094846030910.0121212287113203
0.22.296397821234040.0124647669447206
0.212.299745367668290.0131237687812547
0.222.303210281217950.014094879667361
0.232.306856382033020.0153063108666284
0.242.310727193627180.016624379020069
0.252.314837512478790.0178949524507601
0.262.319170753317220.0189853457590006
0.272.323682571421510.01979389778206
0.282.32830915651120.0202696230408582
0.292.332977546781320.0204054408430134
0.32.337615468525510.0202322027161777
0.312.342159163445430.0198013566276609
0.322.346558792062810.0191749441429998
0.332.35078177719410.0184326662696114
0.342.354814662290460.0176566324928997
0.352.358663806800530.0169410189105561
0.362.36235481205870.0163785598703902
0.372.36593026904690.0160523708749469
0.382.369445430283820.016027221685781
0.392.372961751196880.0163266093273695
0.42.376538796761970.0169155378374176
0.412.380225566198250.0177133648420362
0.422.384052653536590.018603704130916
0.432.388026701143390.0194450567354495
0.442.392128282100010.0200968770104507
0.452.396313733952380.0204517836130308
0.462.400520708814140.0204338504060416
0.472.404676488499020.0200149166235443
0.482.408707609898110.0192250941589267
0.492.412549167052830.0181281610465956
0.52.416152326541920.0168201285453666
0.512.419489047085780.0154237729538735
0.522.42255360310020.0140506672417398
0.532.42536112158820.0127952005366722
0.542.427943817221990.011743791902569
0.552.43034586769710.0109409952956182
0.562.432617891858560.0104051530313564
0.572.434811819447440.0101278372464063
0.582.436976658542120.0100818808181931
0.592.439155373851420.0102214682914195
0.62.441382868768340.0105034156868733
0.612.443684958810610.0108763315594772
0.622.44607822460160.0112966597107555
0.632.448570685543060.0117194113164378
0.642.451163267747410.0121113840763215
0.652.453851992750160.012459243019362
0.662.456630672997950.0127501316495826
0.672.459493711543840.0129990724561693
0.682.462438461594960.0132253668159099
0.692.465466615040710.0134582755841176
0.72.468584326844610.0137178634002952
0.712.471801220569080.0140171812964065
0.722.475128914906710.0143576374246768
0.732.478580019891970.0147298618852305
0.742.482168423882130.0151251988960898
0.752.485911009799630.0155535790371617
0.762.489829851611990.0160399245005202
0.772.493952914034950.0166208512262815
0.782.498310964170780.0173154828444217
0.792.502929344664270.0181049288940072
0.82.507815514974620.018890112857618
0.812.512946200761150.0195187967110051
0.822.518260380584550.0198160629736435
0.832.523664849776620.0196445707732957
0.842.52905684827040.0189791987512959
0.852.534363098250270.0179493098228217
0.862.539587178909060.0168745283726559
0.872.544848846019530.0162257417734586
0.882.550392454551880.0164998078302172
0.892.556542163211460.0179407356353998
0.92.563595868801080.0202512367351367
0.912.57168154359020.0226097883731728
0.922.580641161320380.0239611871284849
0.932.590035229218090.0234813885241677
0.942.599345364751730.0210983512528051
0.952.60837498226390.0178298338448441
0.962.617698359206360.0158168012062479
0.972.628765275707220.0171713242051475
0.982.642964274797860.0203994341297902
0.992.658966185206390.0210658208628785


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 <- '0.1'
par2 <- '0.9'
par1 <- '0.1'
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')