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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 computationTue, 09 Oct 2012 14:27:39 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/09/t1349807302762wd1yvepv3awm.htm/, Retrieved Wed, 01 May 2024 17:24:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=174728, Retrieved Wed, 01 May 2024 17:24:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact65

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] [Prijs tonijn in b...] [2012-10-09 18:27:39] [99829035b61c7d7eb141f248bedbb510] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.41
1.43
1.43
1.45
1.49
1.54
1.54
1.55
1.55
1.55
1.55
1.56
1.56
1.59
1.62
1.62
1.64
1.65
1.64
1.65
1.65
1.65
1.66
1.67
1.68
1.68
1.68
1.71
1.71
1.71
1.71
1.71
1.72
1.79
1.8
1.8
1.84
1.9
1.9
1.92
1.93
1.93
1.94
1.94
1.95
1.95
1.96
1.95
1.95
1.94
1.94
1.93
1.93
1.9
1.91
1.9
1.91
1.91
1.91
1.91
1.93
1.94
1.93
1.91
1.88
1.88
1.89
1.9
1.92
1.93
1.96
1.96

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=174728&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=174728&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174728&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
0.011.41596300963190.0170083870209911
0.021.425464648569130.0177932557556202
0.031.437018605901370.0248537528207583
0.041.450435654613730.0338997670875668
0.051.465566284053310.0406301535762933
0.061.481584093248990.0430067270840261
0.071.497235949166350.0410500445791616
0.081.511391177093170.0361083453603773
0.091.523402675020350.0300035766044775
0.11.533178074147040.024386226471236
0.111.541054740166820.0204431435643709
0.121.547603432950570.0188001148968651
0.131.553446836551020.01941569683956
0.141.559131042076660.0216840237172909
0.151.565054653387070.024830204021903
0.161.571444758017440.0281641678567155
0.171.578365773216670.0311300706196544
0.181.585749109466420.033325204785117
0.191.593434190020870.0345127653890612
0.21.601213125476920.0346260520942641
0.211.608872559566750.0337602411629144
0.221.616227581738650.0321275921556594
0.231.623144477974840.0300115166122764
0.241.629551292764150.0277215806693249
0.251.635437258148490.0255449345383535
0.261.640843687895230.0237100093947945
0.271.645849717243170.0223715057279657
0.281.650556307659990.0215983968056238
0.291.655071412087210.0213790604377121
0.31.659498350742930.0216391288947184
0.311.663928501010550.0222836439262302
0.321.66843851575830.0232224991524636
0.331.673091545409710.0243899578637921
0.341.677941393799250.0257652853353787
0.351.683038201679360.0273656466061697
0.361.688434127621320.0292467725507716
0.371.69418758118890.031478238284473
0.381.700364847248680.0341341880354461
0.391.707038397445780.0372564355621656
0.41.71428176575220.040837778256819
0.411.72216149253930.0448052265484746
0.421.730727216887530.0490183202770524
0.431.740001415455950.0532753560581578
0.441.749970462216210.0573279931604142
0.451.760578572762480.0609152027022832
0.461.771725812500140.0637796368046827
0.471.783270758955830.0656975448658719
0.481.7950377243650.0665061041497004
0.491.806827789310420.0661127050275276
0.51.818432381239330.0645089611698565
0.511.829647827562760.0617681387422959
0.521.840289251143440.0580366523584071
0.531.850202342949050.0535163194978759
0.541.859271896639870.0484507103802536
0.551.86742645764070.0430919991495749
0.561.874638951989550.0376918250998511
0.571.880923646411750.0324709268402712
0.581.886330187022910.0276129076952899
0.591.890935720224670.0232534825658104
0.61.894836186590070.0194765741296411
0.611.898137794211160.0163215728092696
0.621.900949449285810.0137869204225715
0.631.90337660350050.0118417701180822
0.641.905516643239650.0104324633685325
0.651.907455670646750.00948901292963907
0.661.90926637057480.0089300534075198
0.671.911006646806860.00866682633647771
0.681.91271882951390.00860699070214043
0.691.91442944766870.00865572668830855
0.71.916149743715450.00872581455456261
0.711.917877200529080.00874298517778395
0.721.919598295219710.00864977094439608
0.731.921292480101420.00841634674905953
0.741.922937063818870.00803973677559168
0.751.924512320387180.00754585821824135
0.761.926005912772690.00698349709444999
0.771.927415694889970.00641955702593503
0.781.92875021850690.00592011544600599
0.791.930026803941790.00554006856482725
0.81.931267717325370.00530217746717797
0.811.932495619421460.00519115195784359
0.821.93372975140020.00516269939147444
0.831.934984087348850.0051651643564889
0.841.936267867762080.00516305629238971
0.851.937587770305110.00514709634643518
0.861.938950014041630.00513527725412452
0.871.940360618443610.00514832012950485
0.881.941823308579350.00518713098769309
0.891.94333689236610.00521081465663514
0.91.94489593794190.00516195766141228
0.911.946497963169840.00501108130093526
0.921.948155260269550.0048097104376582
0.931.949900951336210.00469766044383167
0.941.95177318070060.00478966259138633
0.951.953768978762420.00496585814706265
0.961.955786445895330.00482672311302294
0.971.957607367958060.00398193067491119
0.981.958973384895220.00246185464174563
0.991.959741458618440.000880892330809351

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.4159630096319 & 0.0170083870209911 \tabularnewline
0.02 & 1.42546464856913 & 0.0177932557556202 \tabularnewline
0.03 & 1.43701860590137 & 0.0248537528207583 \tabularnewline
0.04 & 1.45043565461373 & 0.0338997670875668 \tabularnewline
0.05 & 1.46556628405331 & 0.0406301535762933 \tabularnewline
0.06 & 1.48158409324899 & 0.0430067270840261 \tabularnewline
0.07 & 1.49723594916635 & 0.0410500445791616 \tabularnewline
0.08 & 1.51139117709317 & 0.0361083453603773 \tabularnewline
0.09 & 1.52340267502035 & 0.0300035766044775 \tabularnewline
0.1 & 1.53317807414704 & 0.024386226471236 \tabularnewline
0.11 & 1.54105474016682 & 0.0204431435643709 \tabularnewline
0.12 & 1.54760343295057 & 0.0188001148968651 \tabularnewline
0.13 & 1.55344683655102 & 0.01941569683956 \tabularnewline
0.14 & 1.55913104207666 & 0.0216840237172909 \tabularnewline
0.15 & 1.56505465338707 & 0.024830204021903 \tabularnewline
0.16 & 1.57144475801744 & 0.0281641678567155 \tabularnewline
0.17 & 1.57836577321667 & 0.0311300706196544 \tabularnewline
0.18 & 1.58574910946642 & 0.033325204785117 \tabularnewline
0.19 & 1.59343419002087 & 0.0345127653890612 \tabularnewline
0.2 & 1.60121312547692 & 0.0346260520942641 \tabularnewline
0.21 & 1.60887255956675 & 0.0337602411629144 \tabularnewline
0.22 & 1.61622758173865 & 0.0321275921556594 \tabularnewline
0.23 & 1.62314447797484 & 0.0300115166122764 \tabularnewline
0.24 & 1.62955129276415 & 0.0277215806693249 \tabularnewline
0.25 & 1.63543725814849 & 0.0255449345383535 \tabularnewline
0.26 & 1.64084368789523 & 0.0237100093947945 \tabularnewline
0.27 & 1.64584971724317 & 0.0223715057279657 \tabularnewline
0.28 & 1.65055630765999 & 0.0215983968056238 \tabularnewline
0.29 & 1.65507141208721 & 0.0213790604377121 \tabularnewline
0.3 & 1.65949835074293 & 0.0216391288947184 \tabularnewline
0.31 & 1.66392850101055 & 0.0222836439262302 \tabularnewline
0.32 & 1.6684385157583 & 0.0232224991524636 \tabularnewline
0.33 & 1.67309154540971 & 0.0243899578637921 \tabularnewline
0.34 & 1.67794139379925 & 0.0257652853353787 \tabularnewline
0.35 & 1.68303820167936 & 0.0273656466061697 \tabularnewline
0.36 & 1.68843412762132 & 0.0292467725507716 \tabularnewline
0.37 & 1.6941875811889 & 0.031478238284473 \tabularnewline
0.38 & 1.70036484724868 & 0.0341341880354461 \tabularnewline
0.39 & 1.70703839744578 & 0.0372564355621656 \tabularnewline
0.4 & 1.7142817657522 & 0.040837778256819 \tabularnewline
0.41 & 1.7221614925393 & 0.0448052265484746 \tabularnewline
0.42 & 1.73072721688753 & 0.0490183202770524 \tabularnewline
0.43 & 1.74000141545595 & 0.0532753560581578 \tabularnewline
0.44 & 1.74997046221621 & 0.0573279931604142 \tabularnewline
0.45 & 1.76057857276248 & 0.0609152027022832 \tabularnewline
0.46 & 1.77172581250014 & 0.0637796368046827 \tabularnewline
0.47 & 1.78327075895583 & 0.0656975448658719 \tabularnewline
0.48 & 1.795037724365 & 0.0665061041497004 \tabularnewline
0.49 & 1.80682778931042 & 0.0661127050275276 \tabularnewline
0.5 & 1.81843238123933 & 0.0645089611698565 \tabularnewline
0.51 & 1.82964782756276 & 0.0617681387422959 \tabularnewline
0.52 & 1.84028925114344 & 0.0580366523584071 \tabularnewline
0.53 & 1.85020234294905 & 0.0535163194978759 \tabularnewline
0.54 & 1.85927189663987 & 0.0484507103802536 \tabularnewline
0.55 & 1.8674264576407 & 0.0430919991495749 \tabularnewline
0.56 & 1.87463895198955 & 0.0376918250998511 \tabularnewline
0.57 & 1.88092364641175 & 0.0324709268402712 \tabularnewline
0.58 & 1.88633018702291 & 0.0276129076952899 \tabularnewline
0.59 & 1.89093572022467 & 0.0232534825658104 \tabularnewline
0.6 & 1.89483618659007 & 0.0194765741296411 \tabularnewline
0.61 & 1.89813779421116 & 0.0163215728092696 \tabularnewline
0.62 & 1.90094944928581 & 0.0137869204225715 \tabularnewline
0.63 & 1.9033766035005 & 0.0118417701180822 \tabularnewline
0.64 & 1.90551664323965 & 0.0104324633685325 \tabularnewline
0.65 & 1.90745567064675 & 0.00948901292963907 \tabularnewline
0.66 & 1.9092663705748 & 0.0089300534075198 \tabularnewline
0.67 & 1.91100664680686 & 0.00866682633647771 \tabularnewline
0.68 & 1.9127188295139 & 0.00860699070214043 \tabularnewline
0.69 & 1.9144294476687 & 0.00865572668830855 \tabularnewline
0.7 & 1.91614974371545 & 0.00872581455456261 \tabularnewline
0.71 & 1.91787720052908 & 0.00874298517778395 \tabularnewline
0.72 & 1.91959829521971 & 0.00864977094439608 \tabularnewline
0.73 & 1.92129248010142 & 0.00841634674905953 \tabularnewline
0.74 & 1.92293706381887 & 0.00803973677559168 \tabularnewline
0.75 & 1.92451232038718 & 0.00754585821824135 \tabularnewline
0.76 & 1.92600591277269 & 0.00698349709444999 \tabularnewline
0.77 & 1.92741569488997 & 0.00641955702593503 \tabularnewline
0.78 & 1.9287502185069 & 0.00592011544600599 \tabularnewline
0.79 & 1.93002680394179 & 0.00554006856482725 \tabularnewline
0.8 & 1.93126771732537 & 0.00530217746717797 \tabularnewline
0.81 & 1.93249561942146 & 0.00519115195784359 \tabularnewline
0.82 & 1.9337297514002 & 0.00516269939147444 \tabularnewline
0.83 & 1.93498408734885 & 0.0051651643564889 \tabularnewline
0.84 & 1.93626786776208 & 0.00516305629238971 \tabularnewline
0.85 & 1.93758777030511 & 0.00514709634643518 \tabularnewline
0.86 & 1.93895001404163 & 0.00513527725412452 \tabularnewline
0.87 & 1.94036061844361 & 0.00514832012950485 \tabularnewline
0.88 & 1.94182330857935 & 0.00518713098769309 \tabularnewline
0.89 & 1.9433368923661 & 0.00521081465663514 \tabularnewline
0.9 & 1.9448959379419 & 0.00516195766141228 \tabularnewline
0.91 & 1.94649796316984 & 0.00501108130093526 \tabularnewline
0.92 & 1.94815526026955 & 0.0048097104376582 \tabularnewline
0.93 & 1.94990095133621 & 0.00469766044383167 \tabularnewline
0.94 & 1.9517731807006 & 0.00478966259138633 \tabularnewline
0.95 & 1.95376897876242 & 0.00496585814706265 \tabularnewline
0.96 & 1.95578644589533 & 0.00482672311302294 \tabularnewline
0.97 & 1.95760736795806 & 0.00398193067491119 \tabularnewline
0.98 & 1.95897338489522 & 0.00246185464174563 \tabularnewline
0.99 & 1.95974145861844 & 0.000880892330809351 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=174728&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]1.4159630096319[/C][C]0.0170083870209911[/C][/ROW]
[ROW][C]0.02[/C][C]1.42546464856913[/C][C]0.0177932557556202[/C][/ROW]
[ROW][C]0.03[/C][C]1.43701860590137[/C][C]0.0248537528207583[/C][/ROW]
[ROW][C]0.04[/C][C]1.45043565461373[/C][C]0.0338997670875668[/C][/ROW]
[ROW][C]0.05[/C][C]1.46556628405331[/C][C]0.0406301535762933[/C][/ROW]
[ROW][C]0.06[/C][C]1.48158409324899[/C][C]0.0430067270840261[/C][/ROW]
[ROW][C]0.07[/C][C]1.49723594916635[/C][C]0.0410500445791616[/C][/ROW]
[ROW][C]0.08[/C][C]1.51139117709317[/C][C]0.0361083453603773[/C][/ROW]
[ROW][C]0.09[/C][C]1.52340267502035[/C][C]0.0300035766044775[/C][/ROW]
[ROW][C]0.1[/C][C]1.53317807414704[/C][C]0.024386226471236[/C][/ROW]
[ROW][C]0.11[/C][C]1.54105474016682[/C][C]0.0204431435643709[/C][/ROW]
[ROW][C]0.12[/C][C]1.54760343295057[/C][C]0.0188001148968651[/C][/ROW]
[ROW][C]0.13[/C][C]1.55344683655102[/C][C]0.01941569683956[/C][/ROW]
[ROW][C]0.14[/C][C]1.55913104207666[/C][C]0.0216840237172909[/C][/ROW]
[ROW][C]0.15[/C][C]1.56505465338707[/C][C]0.024830204021903[/C][/ROW]
[ROW][C]0.16[/C][C]1.57144475801744[/C][C]0.0281641678567155[/C][/ROW]
[ROW][C]0.17[/C][C]1.57836577321667[/C][C]0.0311300706196544[/C][/ROW]
[ROW][C]0.18[/C][C]1.58574910946642[/C][C]0.033325204785117[/C][/ROW]
[ROW][C]0.19[/C][C]1.59343419002087[/C][C]0.0345127653890612[/C][/ROW]
[ROW][C]0.2[/C][C]1.60121312547692[/C][C]0.0346260520942641[/C][/ROW]
[ROW][C]0.21[/C][C]1.60887255956675[/C][C]0.0337602411629144[/C][/ROW]
[ROW][C]0.22[/C][C]1.61622758173865[/C][C]0.0321275921556594[/C][/ROW]
[ROW][C]0.23[/C][C]1.62314447797484[/C][C]0.0300115166122764[/C][/ROW]
[ROW][C]0.24[/C][C]1.62955129276415[/C][C]0.0277215806693249[/C][/ROW]
[ROW][C]0.25[/C][C]1.63543725814849[/C][C]0.0255449345383535[/C][/ROW]
[ROW][C]0.26[/C][C]1.64084368789523[/C][C]0.0237100093947945[/C][/ROW]
[ROW][C]0.27[/C][C]1.64584971724317[/C][C]0.0223715057279657[/C][/ROW]
[ROW][C]0.28[/C][C]1.65055630765999[/C][C]0.0215983968056238[/C][/ROW]
[ROW][C]0.29[/C][C]1.65507141208721[/C][C]0.0213790604377121[/C][/ROW]
[ROW][C]0.3[/C][C]1.65949835074293[/C][C]0.0216391288947184[/C][/ROW]
[ROW][C]0.31[/C][C]1.66392850101055[/C][C]0.0222836439262302[/C][/ROW]
[ROW][C]0.32[/C][C]1.6684385157583[/C][C]0.0232224991524636[/C][/ROW]
[ROW][C]0.33[/C][C]1.67309154540971[/C][C]0.0243899578637921[/C][/ROW]
[ROW][C]0.34[/C][C]1.67794139379925[/C][C]0.0257652853353787[/C][/ROW]
[ROW][C]0.35[/C][C]1.68303820167936[/C][C]0.0273656466061697[/C][/ROW]
[ROW][C]0.36[/C][C]1.68843412762132[/C][C]0.0292467725507716[/C][/ROW]
[ROW][C]0.37[/C][C]1.6941875811889[/C][C]0.031478238284473[/C][/ROW]
[ROW][C]0.38[/C][C]1.70036484724868[/C][C]0.0341341880354461[/C][/ROW]
[ROW][C]0.39[/C][C]1.70703839744578[/C][C]0.0372564355621656[/C][/ROW]
[ROW][C]0.4[/C][C]1.7142817657522[/C][C]0.040837778256819[/C][/ROW]
[ROW][C]0.41[/C][C]1.7221614925393[/C][C]0.0448052265484746[/C][/ROW]
[ROW][C]0.42[/C][C]1.73072721688753[/C][C]0.0490183202770524[/C][/ROW]
[ROW][C]0.43[/C][C]1.74000141545595[/C][C]0.0532753560581578[/C][/ROW]
[ROW][C]0.44[/C][C]1.74997046221621[/C][C]0.0573279931604142[/C][/ROW]
[ROW][C]0.45[/C][C]1.76057857276248[/C][C]0.0609152027022832[/C][/ROW]
[ROW][C]0.46[/C][C]1.77172581250014[/C][C]0.0637796368046827[/C][/ROW]
[ROW][C]0.47[/C][C]1.78327075895583[/C][C]0.0656975448658719[/C][/ROW]
[ROW][C]0.48[/C][C]1.795037724365[/C][C]0.0665061041497004[/C][/ROW]
[ROW][C]0.49[/C][C]1.80682778931042[/C][C]0.0661127050275276[/C][/ROW]
[ROW][C]0.5[/C][C]1.81843238123933[/C][C]0.0645089611698565[/C][/ROW]
[ROW][C]0.51[/C][C]1.82964782756276[/C][C]0.0617681387422959[/C][/ROW]
[ROW][C]0.52[/C][C]1.84028925114344[/C][C]0.0580366523584071[/C][/ROW]
[ROW][C]0.53[/C][C]1.85020234294905[/C][C]0.0535163194978759[/C][/ROW]
[ROW][C]0.54[/C][C]1.85927189663987[/C][C]0.0484507103802536[/C][/ROW]
[ROW][C]0.55[/C][C]1.8674264576407[/C][C]0.0430919991495749[/C][/ROW]
[ROW][C]0.56[/C][C]1.87463895198955[/C][C]0.0376918250998511[/C][/ROW]
[ROW][C]0.57[/C][C]1.88092364641175[/C][C]0.0324709268402712[/C][/ROW]
[ROW][C]0.58[/C][C]1.88633018702291[/C][C]0.0276129076952899[/C][/ROW]
[ROW][C]0.59[/C][C]1.89093572022467[/C][C]0.0232534825658104[/C][/ROW]
[ROW][C]0.6[/C][C]1.89483618659007[/C][C]0.0194765741296411[/C][/ROW]
[ROW][C]0.61[/C][C]1.89813779421116[/C][C]0.0163215728092696[/C][/ROW]
[ROW][C]0.62[/C][C]1.90094944928581[/C][C]0.0137869204225715[/C][/ROW]
[ROW][C]0.63[/C][C]1.9033766035005[/C][C]0.0118417701180822[/C][/ROW]
[ROW][C]0.64[/C][C]1.90551664323965[/C][C]0.0104324633685325[/C][/ROW]
[ROW][C]0.65[/C][C]1.90745567064675[/C][C]0.00948901292963907[/C][/ROW]
[ROW][C]0.66[/C][C]1.9092663705748[/C][C]0.0089300534075198[/C][/ROW]
[ROW][C]0.67[/C][C]1.91100664680686[/C][C]0.00866682633647771[/C][/ROW]
[ROW][C]0.68[/C][C]1.9127188295139[/C][C]0.00860699070214043[/C][/ROW]
[ROW][C]0.69[/C][C]1.9144294476687[/C][C]0.00865572668830855[/C][/ROW]
[ROW][C]0.7[/C][C]1.91614974371545[/C][C]0.00872581455456261[/C][/ROW]
[ROW][C]0.71[/C][C]1.91787720052908[/C][C]0.00874298517778395[/C][/ROW]
[ROW][C]0.72[/C][C]1.91959829521971[/C][C]0.00864977094439608[/C][/ROW]
[ROW][C]0.73[/C][C]1.92129248010142[/C][C]0.00841634674905953[/C][/ROW]
[ROW][C]0.74[/C][C]1.92293706381887[/C][C]0.00803973677559168[/C][/ROW]
[ROW][C]0.75[/C][C]1.92451232038718[/C][C]0.00754585821824135[/C][/ROW]
[ROW][C]0.76[/C][C]1.92600591277269[/C][C]0.00698349709444999[/C][/ROW]
[ROW][C]0.77[/C][C]1.92741569488997[/C][C]0.00641955702593503[/C][/ROW]
[ROW][C]0.78[/C][C]1.9287502185069[/C][C]0.00592011544600599[/C][/ROW]
[ROW][C]0.79[/C][C]1.93002680394179[/C][C]0.00554006856482725[/C][/ROW]
[ROW][C]0.8[/C][C]1.93126771732537[/C][C]0.00530217746717797[/C][/ROW]
[ROW][C]0.81[/C][C]1.93249561942146[/C][C]0.00519115195784359[/C][/ROW]
[ROW][C]0.82[/C][C]1.9337297514002[/C][C]0.00516269939147444[/C][/ROW]
[ROW][C]0.83[/C][C]1.93498408734885[/C][C]0.0051651643564889[/C][/ROW]
[ROW][C]0.84[/C][C]1.93626786776208[/C][C]0.00516305629238971[/C][/ROW]
[ROW][C]0.85[/C][C]1.93758777030511[/C][C]0.00514709634643518[/C][/ROW]
[ROW][C]0.86[/C][C]1.93895001404163[/C][C]0.00513527725412452[/C][/ROW]
[ROW][C]0.87[/C][C]1.94036061844361[/C][C]0.00514832012950485[/C][/ROW]
[ROW][C]0.88[/C][C]1.94182330857935[/C][C]0.00518713098769309[/C][/ROW]
[ROW][C]0.89[/C][C]1.9433368923661[/C][C]0.00521081465663514[/C][/ROW]
[ROW][C]0.9[/C][C]1.9448959379419[/C][C]0.00516195766141228[/C][/ROW]
[ROW][C]0.91[/C][C]1.94649796316984[/C][C]0.00501108130093526[/C][/ROW]
[ROW][C]0.92[/C][C]1.94815526026955[/C][C]0.0048097104376582[/C][/ROW]
[ROW][C]0.93[/C][C]1.94990095133621[/C][C]0.00469766044383167[/C][/ROW]
[ROW][C]0.94[/C][C]1.9517731807006[/C][C]0.00478966259138633[/C][/ROW]
[ROW][C]0.95[/C][C]1.95376897876242[/C][C]0.00496585814706265[/C][/ROW]
[ROW][C]0.96[/C][C]1.95578644589533[/C][C]0.00482672311302294[/C][/ROW]
[ROW][C]0.97[/C][C]1.95760736795806[/C][C]0.00398193067491119[/C][/ROW]
[ROW][C]0.98[/C][C]1.95897338489522[/C][C]0.00246185464174563[/C][/ROW]
[ROW][C]0.99[/C][C]1.95974145861844[/C][C]0.000880892330809351[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=174728&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=174728&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
0.011.41596300963190.0170083870209911
0.021.425464648569130.0177932557556202
0.031.437018605901370.0248537528207583
0.041.450435654613730.0338997670875668
0.051.465566284053310.0406301535762933
0.061.481584093248990.0430067270840261
0.071.497235949166350.0410500445791616
0.081.511391177093170.0361083453603773
0.091.523402675020350.0300035766044775
0.11.533178074147040.024386226471236
0.111.541054740166820.0204431435643709
0.121.547603432950570.0188001148968651
0.131.553446836551020.01941569683956
0.141.559131042076660.0216840237172909
0.151.565054653387070.024830204021903
0.161.571444758017440.0281641678567155
0.171.578365773216670.0311300706196544
0.181.585749109466420.033325204785117
0.191.593434190020870.0345127653890612
0.21.601213125476920.0346260520942641
0.211.608872559566750.0337602411629144
0.221.616227581738650.0321275921556594
0.231.623144477974840.0300115166122764
0.241.629551292764150.0277215806693249
0.251.635437258148490.0255449345383535
0.261.640843687895230.0237100093947945
0.271.645849717243170.0223715057279657
0.281.650556307659990.0215983968056238
0.291.655071412087210.0213790604377121
0.31.659498350742930.0216391288947184
0.311.663928501010550.0222836439262302
0.321.66843851575830.0232224991524636
0.331.673091545409710.0243899578637921
0.341.677941393799250.0257652853353787
0.351.683038201679360.0273656466061697
0.361.688434127621320.0292467725507716
0.371.69418758118890.031478238284473
0.381.700364847248680.0341341880354461
0.391.707038397445780.0372564355621656
0.41.71428176575220.040837778256819
0.411.72216149253930.0448052265484746
0.421.730727216887530.0490183202770524
0.431.740001415455950.0532753560581578
0.441.749970462216210.0573279931604142
0.451.760578572762480.0609152027022832
0.461.771725812500140.0637796368046827
0.471.783270758955830.0656975448658719
0.481.7950377243650.0665061041497004
0.491.806827789310420.0661127050275276
0.51.818432381239330.0645089611698565
0.511.829647827562760.0617681387422959
0.521.840289251143440.0580366523584071
0.531.850202342949050.0535163194978759
0.541.859271896639870.0484507103802536
0.551.86742645764070.0430919991495749
0.561.874638951989550.0376918250998511
0.571.880923646411750.0324709268402712
0.581.886330187022910.0276129076952899
0.591.890935720224670.0232534825658104
0.61.894836186590070.0194765741296411
0.611.898137794211160.0163215728092696
0.621.900949449285810.0137869204225715
0.631.90337660350050.0118417701180822
0.641.905516643239650.0104324633685325
0.651.907455670646750.00948901292963907
0.661.90926637057480.0089300534075198
0.671.911006646806860.00866682633647771
0.681.91271882951390.00860699070214043
0.691.91442944766870.00865572668830855
0.71.916149743715450.00872581455456261
0.711.917877200529080.00874298517778395
0.721.919598295219710.00864977094439608
0.731.921292480101420.00841634674905953
0.741.922937063818870.00803973677559168
0.751.924512320387180.00754585821824135
0.761.926005912772690.00698349709444999
0.771.927415694889970.00641955702593503
0.781.92875021850690.00592011544600599
0.791.930026803941790.00554006856482725
0.81.931267717325370.00530217746717797
0.811.932495619421460.00519115195784359
0.821.93372975140020.00516269939147444
0.831.934984087348850.0051651643564889
0.841.936267867762080.00516305629238971
0.851.937587770305110.00514709634643518
0.861.938950014041630.00513527725412452
0.871.940360618443610.00514832012950485
0.881.941823308579350.00518713098769309
0.891.94333689236610.00521081465663514
0.91.94489593794190.00516195766141228
0.911.946497963169840.00501108130093526
0.921.948155260269550.0048097104376582
0.931.949900951336210.00469766044383167
0.941.95177318070060.00478966259138633
0.951.953768978762420.00496585814706265
0.961.955786445895330.00482672311302294
0.971.957607367958060.00398193067491119
0.981.958973384895220.00246185464174563
0.991.959741458618440.000880892330809351


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 <- '0.99'
par1 <- '0.01'
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')