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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 15 Mar 2009 11:53:34 -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/2009/Mar/15/t1237139737z7u7ndh3mth73lr.htm/, Retrieved Tue, 10 Feb 2026 15:10:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=39095, Retrieved Tue, 10 Feb 2026 15:10:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact498

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] [gem maandelijkse ...] [2009-03-15 17:53:34] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
3.42
3.42
3.43
3.47
3.51
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.52
3.58
3.6
3.61
3.61
3.61
3.63
3.68
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.69
3.78
3.79
3.79
3.8
3.8
3.8
3.8
3.81
3.95
3.99
4
4.06
4.16
4.19
4.2
4.2
4.2
4.2
4.2
4.23
4.38
4.43
4.44
4.44
4.44
4.44
4.44
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.45
4.46
4.46
4.46
4.48
4.58
4.67
4.68
4.68

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' @ 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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39095&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' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39095&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39095&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' @ 72.249.127.135






Harrell-Davis Quantiles
quantilesvaluestandard error
0.013.422171038089540.00674420618786701
0.023.428209991411350.0178240384008967
0.033.438595004449560.0286277410411199
0.043.452241861614220.0352855100363876
0.053.467162334737360.0363946555861987
0.063.481362535794760.0328451923733877
0.073.49346442754260.0266701162465794
0.083.50289749507190.0199285482000153
0.093.509769374910780.0140964409157602
0.13.51460477793870.0100220267507387
0.113.518098580571480.00820497954376468
0.123.52094756581060.00883908546982883
0.133.523762237193570.0114783484849510
0.143.527032018757690.0155205307335026
0.153.531116093252880.0204932684498952
0.163.536243275399560.0259658367321893
0.173.542516014655460.0314776817904873
0.183.54992024337580.0365853643874057
0.193.558343669339780.0409448642156335
0.23.56760236845110.044324119693897
0.213.577472037871400.0466541038799735
0.223.587718261202610.0479909755849823
0.233.59812053687660.0484651320186412
0.243.608487220871510.0482298353115459
0.253.618661688998690.0474263586386686
0.263.628522552472420.0461565982132495
0.273.637981756041760.0445103455547376
0.283.64698370544050.042589127999522
0.293.655506751327840.0405411695334061
0.33.663566295040420.0385692172997759
0.313.671217323670320.0369215708080601
0.323.67855382360090.0358753779014555
0.333.685703293095550.0356608815322482
0.343.692816110906740.0364131387455288
0.353.700051243099770.0381215744388442
0.363.707561108135350.0406439665079907
0.373.715478962106910.0437625900035283
0.383.723911760417200.0472512018661354
0.393.732940213332730.0509401590026217
0.43.742626005430790.0547506012176146
0.413.753024333545260.0587227518984075
0.423.764198481591660.0630160873762101
0.433.776232444865910.0678552504679432
0.443.789237819546720.0734949409770001
0.453.803352254290270.080123298449149
0.463.818728490939130.0878024694365328
0.473.835515029771210.0964143930738992
0.483.853831316878840.105671690220644
0.493.873741685569250.115118873649766
0.53.895232831932870.124196235296084
0.513.918199276986080.132317362433293
0.523.94244014336740.138911798204336
0.533.96766886517730.143523172382423
0.543.993535441508840.145852512287476
0.554.019658840414480.14582083150415
0.564.04566543816090.143562344699281
0.574.071228171052370.139449542033769
0.584.096100566218310.134033333168582
0.594.120140131977530.128000238534789
0.64.143316785380760.122082371696463
0.614.165704027157960.116948552981843
0.624.187453249387520.113078415504329
0.634.208754514082170.110669105460337
0.644.229789852758440.109556822634427
0.654.250687013379850.109261912078822
0.664.271482087848980.109076764814251
0.674.292098281183790.108227285491582
0.684.312345288063370.106031295490801
0.694.331939801595340.102002641993394
0.74.350543428465160.0959413628772662
0.714.367810725946170.0879539445191488
0.724.383438104995890.0784088852827782
0.734.397204477284230.067874512925683
0.744.408996726282060.0570095581540105
0.754.418816753834980.0464568130621252
0.764.42677100177060.0367519594192163
0.774.433046888611950.0282666400106015
0.784.437882686283030.0211963030631284
0.794.441537623467220.0155626107520111
0.84.444267636231260.0112642074747807
0.814.446309855271630.00813269615678137
0.824.447876531141830.00598575127805058
0.834.449157542597510.00467362349520842
0.844.450330528987470.00411302199406481
0.854.451579156270630.00427426330587119
0.864.453122419970210.00518288387736195
0.874.455259458984720.0069928460098035
0.884.458432030919860.0100965866103254
0.894.463296621854990.0151321707248811
0.94.470777289958190.0228461845044844
0.914.482041451825090.0337808178762631
0.924.498318296766760.047741399032166
0.934.520493275285150.063155268575785
0.944.548499836488260.0766372154469703
0.954.5807060050850.0833695598615967
0.964.613696874371570.0788214935087327
0.974.642907891399280.0616926368228306
0.984.664238026246270.0364842248085424
0.994.676020708979600.0128558877501777

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 3.42217103808954 & 0.00674420618786701 \tabularnewline
0.02 & 3.42820999141135 & 0.0178240384008967 \tabularnewline
0.03 & 3.43859500444956 & 0.0286277410411199 \tabularnewline
0.04 & 3.45224186161422 & 0.0352855100363876 \tabularnewline
0.05 & 3.46716233473736 & 0.0363946555861987 \tabularnewline
0.06 & 3.48136253579476 & 0.0328451923733877 \tabularnewline
0.07 & 3.4934644275426 & 0.0266701162465794 \tabularnewline
0.08 & 3.5028974950719 & 0.0199285482000153 \tabularnewline
0.09 & 3.50976937491078 & 0.0140964409157602 \tabularnewline
0.1 & 3.5146047779387 & 0.0100220267507387 \tabularnewline
0.11 & 3.51809858057148 & 0.00820497954376468 \tabularnewline
0.12 & 3.5209475658106 & 0.00883908546982883 \tabularnewline
0.13 & 3.52376223719357 & 0.0114783484849510 \tabularnewline
0.14 & 3.52703201875769 & 0.0155205307335026 \tabularnewline
0.15 & 3.53111609325288 & 0.0204932684498952 \tabularnewline
0.16 & 3.53624327539956 & 0.0259658367321893 \tabularnewline
0.17 & 3.54251601465546 & 0.0314776817904873 \tabularnewline
0.18 & 3.5499202433758 & 0.0365853643874057 \tabularnewline
0.19 & 3.55834366933978 & 0.0409448642156335 \tabularnewline
0.2 & 3.5676023684511 & 0.044324119693897 \tabularnewline
0.21 & 3.57747203787140 & 0.0466541038799735 \tabularnewline
0.22 & 3.58771826120261 & 0.0479909755849823 \tabularnewline
0.23 & 3.5981205368766 & 0.0484651320186412 \tabularnewline
0.24 & 3.60848722087151 & 0.0482298353115459 \tabularnewline
0.25 & 3.61866168899869 & 0.0474263586386686 \tabularnewline
0.26 & 3.62852255247242 & 0.0461565982132495 \tabularnewline
0.27 & 3.63798175604176 & 0.0445103455547376 \tabularnewline
0.28 & 3.6469837054405 & 0.042589127999522 \tabularnewline
0.29 & 3.65550675132784 & 0.0405411695334061 \tabularnewline
0.3 & 3.66356629504042 & 0.0385692172997759 \tabularnewline
0.31 & 3.67121732367032 & 0.0369215708080601 \tabularnewline
0.32 & 3.6785538236009 & 0.0358753779014555 \tabularnewline
0.33 & 3.68570329309555 & 0.0356608815322482 \tabularnewline
0.34 & 3.69281611090674 & 0.0364131387455288 \tabularnewline
0.35 & 3.70005124309977 & 0.0381215744388442 \tabularnewline
0.36 & 3.70756110813535 & 0.0406439665079907 \tabularnewline
0.37 & 3.71547896210691 & 0.0437625900035283 \tabularnewline
0.38 & 3.72391176041720 & 0.0472512018661354 \tabularnewline
0.39 & 3.73294021333273 & 0.0509401590026217 \tabularnewline
0.4 & 3.74262600543079 & 0.0547506012176146 \tabularnewline
0.41 & 3.75302433354526 & 0.0587227518984075 \tabularnewline
0.42 & 3.76419848159166 & 0.0630160873762101 \tabularnewline
0.43 & 3.77623244486591 & 0.0678552504679432 \tabularnewline
0.44 & 3.78923781954672 & 0.0734949409770001 \tabularnewline
0.45 & 3.80335225429027 & 0.080123298449149 \tabularnewline
0.46 & 3.81872849093913 & 0.0878024694365328 \tabularnewline
0.47 & 3.83551502977121 & 0.0964143930738992 \tabularnewline
0.48 & 3.85383131687884 & 0.105671690220644 \tabularnewline
0.49 & 3.87374168556925 & 0.115118873649766 \tabularnewline
0.5 & 3.89523283193287 & 0.124196235296084 \tabularnewline
0.51 & 3.91819927698608 & 0.132317362433293 \tabularnewline
0.52 & 3.9424401433674 & 0.138911798204336 \tabularnewline
0.53 & 3.9676688651773 & 0.143523172382423 \tabularnewline
0.54 & 3.99353544150884 & 0.145852512287476 \tabularnewline
0.55 & 4.01965884041448 & 0.14582083150415 \tabularnewline
0.56 & 4.0456654381609 & 0.143562344699281 \tabularnewline
0.57 & 4.07122817105237 & 0.139449542033769 \tabularnewline
0.58 & 4.09610056621831 & 0.134033333168582 \tabularnewline
0.59 & 4.12014013197753 & 0.128000238534789 \tabularnewline
0.6 & 4.14331678538076 & 0.122082371696463 \tabularnewline
0.61 & 4.16570402715796 & 0.116948552981843 \tabularnewline
0.62 & 4.18745324938752 & 0.113078415504329 \tabularnewline
0.63 & 4.20875451408217 & 0.110669105460337 \tabularnewline
0.64 & 4.22978985275844 & 0.109556822634427 \tabularnewline
0.65 & 4.25068701337985 & 0.109261912078822 \tabularnewline
0.66 & 4.27148208784898 & 0.109076764814251 \tabularnewline
0.67 & 4.29209828118379 & 0.108227285491582 \tabularnewline
0.68 & 4.31234528806337 & 0.106031295490801 \tabularnewline
0.69 & 4.33193980159534 & 0.102002641993394 \tabularnewline
0.7 & 4.35054342846516 & 0.0959413628772662 \tabularnewline
0.71 & 4.36781072594617 & 0.0879539445191488 \tabularnewline
0.72 & 4.38343810499589 & 0.0784088852827782 \tabularnewline
0.73 & 4.39720447728423 & 0.067874512925683 \tabularnewline
0.74 & 4.40899672628206 & 0.0570095581540105 \tabularnewline
0.75 & 4.41881675383498 & 0.0464568130621252 \tabularnewline
0.76 & 4.4267710017706 & 0.0367519594192163 \tabularnewline
0.77 & 4.43304688861195 & 0.0282666400106015 \tabularnewline
0.78 & 4.43788268628303 & 0.0211963030631284 \tabularnewline
0.79 & 4.44153762346722 & 0.0155626107520111 \tabularnewline
0.8 & 4.44426763623126 & 0.0112642074747807 \tabularnewline
0.81 & 4.44630985527163 & 0.00813269615678137 \tabularnewline
0.82 & 4.44787653114183 & 0.00598575127805058 \tabularnewline
0.83 & 4.44915754259751 & 0.00467362349520842 \tabularnewline
0.84 & 4.45033052898747 & 0.00411302199406481 \tabularnewline
0.85 & 4.45157915627063 & 0.00427426330587119 \tabularnewline
0.86 & 4.45312241997021 & 0.00518288387736195 \tabularnewline
0.87 & 4.45525945898472 & 0.0069928460098035 \tabularnewline
0.88 & 4.45843203091986 & 0.0100965866103254 \tabularnewline
0.89 & 4.46329662185499 & 0.0151321707248811 \tabularnewline
0.9 & 4.47077728995819 & 0.0228461845044844 \tabularnewline
0.91 & 4.48204145182509 & 0.0337808178762631 \tabularnewline
0.92 & 4.49831829676676 & 0.047741399032166 \tabularnewline
0.93 & 4.52049327528515 & 0.063155268575785 \tabularnewline
0.94 & 4.54849983648826 & 0.0766372154469703 \tabularnewline
0.95 & 4.580706005085 & 0.0833695598615967 \tabularnewline
0.96 & 4.61369687437157 & 0.0788214935087327 \tabularnewline
0.97 & 4.64290789139928 & 0.0616926368228306 \tabularnewline
0.98 & 4.66423802624627 & 0.0364842248085424 \tabularnewline
0.99 & 4.67602070897960 & 0.0128558877501777 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=39095&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]3.42217103808954[/C][C]0.00674420618786701[/C][/ROW]
[ROW][C]0.02[/C][C]3.42820999141135[/C][C]0.0178240384008967[/C][/ROW]
[ROW][C]0.03[/C][C]3.43859500444956[/C][C]0.0286277410411199[/C][/ROW]
[ROW][C]0.04[/C][C]3.45224186161422[/C][C]0.0352855100363876[/C][/ROW]
[ROW][C]0.05[/C][C]3.46716233473736[/C][C]0.0363946555861987[/C][/ROW]
[ROW][C]0.06[/C][C]3.48136253579476[/C][C]0.0328451923733877[/C][/ROW]
[ROW][C]0.07[/C][C]3.4934644275426[/C][C]0.0266701162465794[/C][/ROW]
[ROW][C]0.08[/C][C]3.5028974950719[/C][C]0.0199285482000153[/C][/ROW]
[ROW][C]0.09[/C][C]3.50976937491078[/C][C]0.0140964409157602[/C][/ROW]
[ROW][C]0.1[/C][C]3.5146047779387[/C][C]0.0100220267507387[/C][/ROW]
[ROW][C]0.11[/C][C]3.51809858057148[/C][C]0.00820497954376468[/C][/ROW]
[ROW][C]0.12[/C][C]3.5209475658106[/C][C]0.00883908546982883[/C][/ROW]
[ROW][C]0.13[/C][C]3.52376223719357[/C][C]0.0114783484849510[/C][/ROW]
[ROW][C]0.14[/C][C]3.52703201875769[/C][C]0.0155205307335026[/C][/ROW]
[ROW][C]0.15[/C][C]3.53111609325288[/C][C]0.0204932684498952[/C][/ROW]
[ROW][C]0.16[/C][C]3.53624327539956[/C][C]0.0259658367321893[/C][/ROW]
[ROW][C]0.17[/C][C]3.54251601465546[/C][C]0.0314776817904873[/C][/ROW]
[ROW][C]0.18[/C][C]3.5499202433758[/C][C]0.0365853643874057[/C][/ROW]
[ROW][C]0.19[/C][C]3.55834366933978[/C][C]0.0409448642156335[/C][/ROW]
[ROW][C]0.2[/C][C]3.5676023684511[/C][C]0.044324119693897[/C][/ROW]
[ROW][C]0.21[/C][C]3.57747203787140[/C][C]0.0466541038799735[/C][/ROW]
[ROW][C]0.22[/C][C]3.58771826120261[/C][C]0.0479909755849823[/C][/ROW]
[ROW][C]0.23[/C][C]3.5981205368766[/C][C]0.0484651320186412[/C][/ROW]
[ROW][C]0.24[/C][C]3.60848722087151[/C][C]0.0482298353115459[/C][/ROW]
[ROW][C]0.25[/C][C]3.61866168899869[/C][C]0.0474263586386686[/C][/ROW]
[ROW][C]0.26[/C][C]3.62852255247242[/C][C]0.0461565982132495[/C][/ROW]
[ROW][C]0.27[/C][C]3.63798175604176[/C][C]0.0445103455547376[/C][/ROW]
[ROW][C]0.28[/C][C]3.6469837054405[/C][C]0.042589127999522[/C][/ROW]
[ROW][C]0.29[/C][C]3.65550675132784[/C][C]0.0405411695334061[/C][/ROW]
[ROW][C]0.3[/C][C]3.66356629504042[/C][C]0.0385692172997759[/C][/ROW]
[ROW][C]0.31[/C][C]3.67121732367032[/C][C]0.0369215708080601[/C][/ROW]
[ROW][C]0.32[/C][C]3.6785538236009[/C][C]0.0358753779014555[/C][/ROW]
[ROW][C]0.33[/C][C]3.68570329309555[/C][C]0.0356608815322482[/C][/ROW]
[ROW][C]0.34[/C][C]3.69281611090674[/C][C]0.0364131387455288[/C][/ROW]
[ROW][C]0.35[/C][C]3.70005124309977[/C][C]0.0381215744388442[/C][/ROW]
[ROW][C]0.36[/C][C]3.70756110813535[/C][C]0.0406439665079907[/C][/ROW]
[ROW][C]0.37[/C][C]3.71547896210691[/C][C]0.0437625900035283[/C][/ROW]
[ROW][C]0.38[/C][C]3.72391176041720[/C][C]0.0472512018661354[/C][/ROW]
[ROW][C]0.39[/C][C]3.73294021333273[/C][C]0.0509401590026217[/C][/ROW]
[ROW][C]0.4[/C][C]3.74262600543079[/C][C]0.0547506012176146[/C][/ROW]
[ROW][C]0.41[/C][C]3.75302433354526[/C][C]0.0587227518984075[/C][/ROW]
[ROW][C]0.42[/C][C]3.76419848159166[/C][C]0.0630160873762101[/C][/ROW]
[ROW][C]0.43[/C][C]3.77623244486591[/C][C]0.0678552504679432[/C][/ROW]
[ROW][C]0.44[/C][C]3.78923781954672[/C][C]0.0734949409770001[/C][/ROW]
[ROW][C]0.45[/C][C]3.80335225429027[/C][C]0.080123298449149[/C][/ROW]
[ROW][C]0.46[/C][C]3.81872849093913[/C][C]0.0878024694365328[/C][/ROW]
[ROW][C]0.47[/C][C]3.83551502977121[/C][C]0.0964143930738992[/C][/ROW]
[ROW][C]0.48[/C][C]3.85383131687884[/C][C]0.105671690220644[/C][/ROW]
[ROW][C]0.49[/C][C]3.87374168556925[/C][C]0.115118873649766[/C][/ROW]
[ROW][C]0.5[/C][C]3.89523283193287[/C][C]0.124196235296084[/C][/ROW]
[ROW][C]0.51[/C][C]3.91819927698608[/C][C]0.132317362433293[/C][/ROW]
[ROW][C]0.52[/C][C]3.9424401433674[/C][C]0.138911798204336[/C][/ROW]
[ROW][C]0.53[/C][C]3.9676688651773[/C][C]0.143523172382423[/C][/ROW]
[ROW][C]0.54[/C][C]3.99353544150884[/C][C]0.145852512287476[/C][/ROW]
[ROW][C]0.55[/C][C]4.01965884041448[/C][C]0.14582083150415[/C][/ROW]
[ROW][C]0.56[/C][C]4.0456654381609[/C][C]0.143562344699281[/C][/ROW]
[ROW][C]0.57[/C][C]4.07122817105237[/C][C]0.139449542033769[/C][/ROW]
[ROW][C]0.58[/C][C]4.09610056621831[/C][C]0.134033333168582[/C][/ROW]
[ROW][C]0.59[/C][C]4.12014013197753[/C][C]0.128000238534789[/C][/ROW]
[ROW][C]0.6[/C][C]4.14331678538076[/C][C]0.122082371696463[/C][/ROW]
[ROW][C]0.61[/C][C]4.16570402715796[/C][C]0.116948552981843[/C][/ROW]
[ROW][C]0.62[/C][C]4.18745324938752[/C][C]0.113078415504329[/C][/ROW]
[ROW][C]0.63[/C][C]4.20875451408217[/C][C]0.110669105460337[/C][/ROW]
[ROW][C]0.64[/C][C]4.22978985275844[/C][C]0.109556822634427[/C][/ROW]
[ROW][C]0.65[/C][C]4.25068701337985[/C][C]0.109261912078822[/C][/ROW]
[ROW][C]0.66[/C][C]4.27148208784898[/C][C]0.109076764814251[/C][/ROW]
[ROW][C]0.67[/C][C]4.29209828118379[/C][C]0.108227285491582[/C][/ROW]
[ROW][C]0.68[/C][C]4.31234528806337[/C][C]0.106031295490801[/C][/ROW]
[ROW][C]0.69[/C][C]4.33193980159534[/C][C]0.102002641993394[/C][/ROW]
[ROW][C]0.7[/C][C]4.35054342846516[/C][C]0.0959413628772662[/C][/ROW]
[ROW][C]0.71[/C][C]4.36781072594617[/C][C]0.0879539445191488[/C][/ROW]
[ROW][C]0.72[/C][C]4.38343810499589[/C][C]0.0784088852827782[/C][/ROW]
[ROW][C]0.73[/C][C]4.39720447728423[/C][C]0.067874512925683[/C][/ROW]
[ROW][C]0.74[/C][C]4.40899672628206[/C][C]0.0570095581540105[/C][/ROW]
[ROW][C]0.75[/C][C]4.41881675383498[/C][C]0.0464568130621252[/C][/ROW]
[ROW][C]0.76[/C][C]4.4267710017706[/C][C]0.0367519594192163[/C][/ROW]
[ROW][C]0.77[/C][C]4.43304688861195[/C][C]0.0282666400106015[/C][/ROW]
[ROW][C]0.78[/C][C]4.43788268628303[/C][C]0.0211963030631284[/C][/ROW]
[ROW][C]0.79[/C][C]4.44153762346722[/C][C]0.0155626107520111[/C][/ROW]
[ROW][C]0.8[/C][C]4.44426763623126[/C][C]0.0112642074747807[/C][/ROW]
[ROW][C]0.81[/C][C]4.44630985527163[/C][C]0.00813269615678137[/C][/ROW]
[ROW][C]0.82[/C][C]4.44787653114183[/C][C]0.00598575127805058[/C][/ROW]
[ROW][C]0.83[/C][C]4.44915754259751[/C][C]0.00467362349520842[/C][/ROW]
[ROW][C]0.84[/C][C]4.45033052898747[/C][C]0.00411302199406481[/C][/ROW]
[ROW][C]0.85[/C][C]4.45157915627063[/C][C]0.00427426330587119[/C][/ROW]
[ROW][C]0.86[/C][C]4.45312241997021[/C][C]0.00518288387736195[/C][/ROW]
[ROW][C]0.87[/C][C]4.45525945898472[/C][C]0.0069928460098035[/C][/ROW]
[ROW][C]0.88[/C][C]4.45843203091986[/C][C]0.0100965866103254[/C][/ROW]
[ROW][C]0.89[/C][C]4.46329662185499[/C][C]0.0151321707248811[/C][/ROW]
[ROW][C]0.9[/C][C]4.47077728995819[/C][C]0.0228461845044844[/C][/ROW]
[ROW][C]0.91[/C][C]4.48204145182509[/C][C]0.0337808178762631[/C][/ROW]
[ROW][C]0.92[/C][C]4.49831829676676[/C][C]0.047741399032166[/C][/ROW]
[ROW][C]0.93[/C][C]4.52049327528515[/C][C]0.063155268575785[/C][/ROW]
[ROW][C]0.94[/C][C]4.54849983648826[/C][C]0.0766372154469703[/C][/ROW]
[ROW][C]0.95[/C][C]4.580706005085[/C][C]0.0833695598615967[/C][/ROW]
[ROW][C]0.96[/C][C]4.61369687437157[/C][C]0.0788214935087327[/C][/ROW]
[ROW][C]0.97[/C][C]4.64290789139928[/C][C]0.0616926368228306[/C][/ROW]
[ROW][C]0.98[/C][C]4.66423802624627[/C][C]0.0364842248085424[/C][/ROW]
[ROW][C]0.99[/C][C]4.67602070897960[/C][C]0.0128558877501777[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=39095&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=39095&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
0.013.422171038089540.00674420618786701
0.023.428209991411350.0178240384008967
0.033.438595004449560.0286277410411199
0.043.452241861614220.0352855100363876
0.053.467162334737360.0363946555861987
0.063.481362535794760.0328451923733877
0.073.49346442754260.0266701162465794
0.083.50289749507190.0199285482000153
0.093.509769374910780.0140964409157602
0.13.51460477793870.0100220267507387
0.113.518098580571480.00820497954376468
0.123.52094756581060.00883908546982883
0.133.523762237193570.0114783484849510
0.143.527032018757690.0155205307335026
0.153.531116093252880.0204932684498952
0.163.536243275399560.0259658367321893
0.173.542516014655460.0314776817904873
0.183.54992024337580.0365853643874057
0.193.558343669339780.0409448642156335
0.23.56760236845110.044324119693897
0.213.577472037871400.0466541038799735
0.223.587718261202610.0479909755849823
0.233.59812053687660.0484651320186412
0.243.608487220871510.0482298353115459
0.253.618661688998690.0474263586386686
0.263.628522552472420.0461565982132495
0.273.637981756041760.0445103455547376
0.283.64698370544050.042589127999522
0.293.655506751327840.0405411695334061
0.33.663566295040420.0385692172997759
0.313.671217323670320.0369215708080601
0.323.67855382360090.0358753779014555
0.333.685703293095550.0356608815322482
0.343.692816110906740.0364131387455288
0.353.700051243099770.0381215744388442
0.363.707561108135350.0406439665079907
0.373.715478962106910.0437625900035283
0.383.723911760417200.0472512018661354
0.393.732940213332730.0509401590026217
0.43.742626005430790.0547506012176146
0.413.753024333545260.0587227518984075
0.423.764198481591660.0630160873762101
0.433.776232444865910.0678552504679432
0.443.789237819546720.0734949409770001
0.453.803352254290270.080123298449149
0.463.818728490939130.0878024694365328
0.473.835515029771210.0964143930738992
0.483.853831316878840.105671690220644
0.493.873741685569250.115118873649766
0.53.895232831932870.124196235296084
0.513.918199276986080.132317362433293
0.523.94244014336740.138911798204336
0.533.96766886517730.143523172382423
0.543.993535441508840.145852512287476
0.554.019658840414480.14582083150415
0.564.04566543816090.143562344699281
0.574.071228171052370.139449542033769
0.584.096100566218310.134033333168582
0.594.120140131977530.128000238534789
0.64.143316785380760.122082371696463
0.614.165704027157960.116948552981843
0.624.187453249387520.113078415504329
0.634.208754514082170.110669105460337
0.644.229789852758440.109556822634427
0.654.250687013379850.109261912078822
0.664.271482087848980.109076764814251
0.674.292098281183790.108227285491582
0.684.312345288063370.106031295490801
0.694.331939801595340.102002641993394
0.74.350543428465160.0959413628772662
0.714.367810725946170.0879539445191488
0.724.383438104995890.0784088852827782
0.734.397204477284230.067874512925683
0.744.408996726282060.0570095581540105
0.754.418816753834980.0464568130621252
0.764.42677100177060.0367519594192163
0.774.433046888611950.0282666400106015
0.784.437882686283030.0211963030631284
0.794.441537623467220.0155626107520111
0.84.444267636231260.0112642074747807
0.814.446309855271630.00813269615678137
0.824.447876531141830.00598575127805058
0.834.449157542597510.00467362349520842
0.844.450330528987470.00411302199406481
0.854.451579156270630.00427426330587119
0.864.453122419970210.00518288387736195
0.874.455259458984720.0069928460098035
0.884.458432030919860.0100965866103254
0.894.463296621854990.0151321707248811
0.94.470777289958190.0228461845044844
0.914.482041451825090.0337808178762631
0.924.498318296766760.047741399032166
0.934.520493275285150.063155268575785
0.944.548499836488260.0766372154469703
0.954.5807060050850.0833695598615967
0.964.613696874371570.0788214935087327
0.974.642907891399280.0616926368228306
0.984.664238026246270.0364842248085424
0.994.676020708979600.0128558877501777


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')