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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, 23 Feb 2016 12:58:59 +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/2016/Feb/23/t1456232402jn4mkbbxh8zy05g.htm/, Retrieved Mon, 06 May 2024 08:41:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=292513, Retrieved Mon, 06 May 2024 08:41:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact94

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] [] [2016-02-23 12:58:59] [3fd8a2781b4a66a294f894c9e659cf7e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97.78
97.73
97.61
97.69
97.68
97.67
97.67
97.96
98.27
99.52
99.59
99.75
99.75
99.8
99.99
100.25
100.08
100.08
100.08
100.06
101
101.81
101.82
101.96
101.96
101.93
102.03
102.11
102.07
102.34
102.34
102.33
102.77
103.08
103.38
103.44
99.1
99.15
99.21
99.01
99.08
99.11
100.11
100.31
100.55
101.38
101.49
101.5
100.69
100.8
100.58
100.34
100.38
100.33
101.06
101.15
101.36
101.98
102.24
102.34

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292513&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292513&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292513&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'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0197.62230228595150.0483509641798273
0.0297.63935028756420.0355170960344611
0.0397.65646309729730.0287275347996188
0.0497.67281187328970.0354690341644433
0.0597.69076769208990.0572295920315693
0.0697.71410297782270.0929779387803528
0.0797.7467056252470.142550261023014
0.0897.79190576671860.204356063573075
0.0997.85207197080820.274803274520087
0.197.92828756509320.348031930818409
0.1198.02012473966390.41697583943091
0.1298.12561102475340.474700190974735
0.1398.24144902930520.515468104642683
0.1498.36347096506280.53620289429269
0.1598.48723608613730.536862166104896
0.1698.60864045922160.520108349944204
0.1798.72441270848450.490830620650265
0.1898.83240884639690.454861399649859
0.1998.93167664131820.41810083669891
0.299.02231570356720.385275345174779
0.2199.10519859549750.359385909147389
0.2299.18163391285410.341463646657329
0.2399.25304580289510.330664943689755
0.2499.32072283223130.32493631859805
0.2599.38566165126750.321924193131219
0.2699.4485056232710.319411424452914
0.2799.50956066148360.315949937797613
0.2899.56886173242580.310508871650078
0.2999.62626286673890.302818877824309
0.399.68152849398810.292916955515399
0.3199.7344114783260.281156474691203
0.3299.78471082277710.26813149628785
0.3399.83230799135790.254416257496629
0.3499.87718452093110.240595158029447
0.3599.9194252007820.227375138986275
0.3699.95921119033520.215227388031095
0.3799.99680675236770.204696144037054
0.38100.032542402240.196184174008379
0.39100.0667965613070.190018359734833
0.4100.099977343790.186149657069543
0.41100.1325058105740.184827570641868
0.42100.1648017355690.185885184370396
0.43100.1972725333180.189230910838273
0.44100.2303054689540.194613655311641
0.45100.2642626918530.202046044295182
0.46100.2994781412010.211169123409712
0.47100.3362551043210.221854188563464
0.48100.3748632517050.234050358134016
0.49100.4155343252640.247441632854993
0.5100.4584562321530.261717968653141
0.51100.5037659513750.276691335735031
0.52100.5515422336550.291715707067331
0.53100.6017994317090.30653357561055
0.54100.6544838576720.320523233060798
0.55100.7094738135640.333507785306545
0.56100.7665839276840.344848093379025
0.57100.8255737489440.354441714442853
0.58100.8861598226350.361829180148596
0.59100.9480298222830.367097810063173
0.6101.0108568624610.370180838333244
0.61101.0743119652180.371139130379645
0.62101.1380728629590.370239756550345
0.63101.2018279099390.367406535886071
0.64101.2652747961810.362913656020949
0.65101.3281148913510.356847523301408
0.66101.3900451995040.349175388546769
0.67101.4507508352350.339838548345079
0.68101.5099013857130.328681525392596
0.69101.5671543005430.315632554694447
0.7101.6221674654140.300616196629406
0.71101.6746214403250.283652236599985
0.72101.7242497263320.265216910965695
0.73101.7708732543850.245615283678523
0.74101.8144335192340.225645165951998
0.75101.8550178324740.206134813285352
0.76101.8928703441670.18809196265338
0.77101.928383917410.172471851308572
0.78101.9620706090390.159948267464575
0.79101.9945122712660.151038238215315
0.8102.0262974284940.145661065886695
0.81102.0579557823870.143341029209155
0.82102.0899068846780.142999631518742
0.83102.1224435933130.143486980493848
0.84102.1557719790560.143853842698953
0.85102.1901245712160.143571046908918
0.86102.2259500266610.143021193248777
0.87102.2641573256470.143952121467869
0.88102.3063577859070.149614949135465
0.89102.3550111596930.164129463617374
0.9102.4133579879720.190603200953336
0.91102.4850289994670.229082405995266
0.92102.5732794166740.275544235541771
0.93102.6799019037530.322210994142428
0.94102.8040060504510.358557821685359
0.95102.9409818839520.37315013377399
0.96103.0820598815320.355986184129712
0.97103.2149109894370.301902852471305
0.98103.3256504325560.215640216078268
0.99103.402378752850.119902561460582

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 97.6223022859515 & 0.0483509641798273 \tabularnewline
0.02 & 97.6393502875642 & 0.0355170960344611 \tabularnewline
0.03 & 97.6564630972973 & 0.0287275347996188 \tabularnewline
0.04 & 97.6728118732897 & 0.0354690341644433 \tabularnewline
0.05 & 97.6907676920899 & 0.0572295920315693 \tabularnewline
0.06 & 97.7141029778227 & 0.0929779387803528 \tabularnewline
0.07 & 97.746705625247 & 0.142550261023014 \tabularnewline
0.08 & 97.7919057667186 & 0.204356063573075 \tabularnewline
0.09 & 97.8520719708082 & 0.274803274520087 \tabularnewline
0.1 & 97.9282875650932 & 0.348031930818409 \tabularnewline
0.11 & 98.0201247396639 & 0.41697583943091 \tabularnewline
0.12 & 98.1256110247534 & 0.474700190974735 \tabularnewline
0.13 & 98.2414490293052 & 0.515468104642683 \tabularnewline
0.14 & 98.3634709650628 & 0.53620289429269 \tabularnewline
0.15 & 98.4872360861373 & 0.536862166104896 \tabularnewline
0.16 & 98.6086404592216 & 0.520108349944204 \tabularnewline
0.17 & 98.7244127084845 & 0.490830620650265 \tabularnewline
0.18 & 98.8324088463969 & 0.454861399649859 \tabularnewline
0.19 & 98.9316766413182 & 0.41810083669891 \tabularnewline
0.2 & 99.0223157035672 & 0.385275345174779 \tabularnewline
0.21 & 99.1051985954975 & 0.359385909147389 \tabularnewline
0.22 & 99.1816339128541 & 0.341463646657329 \tabularnewline
0.23 & 99.2530458028951 & 0.330664943689755 \tabularnewline
0.24 & 99.3207228322313 & 0.32493631859805 \tabularnewline
0.25 & 99.3856616512675 & 0.321924193131219 \tabularnewline
0.26 & 99.448505623271 & 0.319411424452914 \tabularnewline
0.27 & 99.5095606614836 & 0.315949937797613 \tabularnewline
0.28 & 99.5688617324258 & 0.310508871650078 \tabularnewline
0.29 & 99.6262628667389 & 0.302818877824309 \tabularnewline
0.3 & 99.6815284939881 & 0.292916955515399 \tabularnewline
0.31 & 99.734411478326 & 0.281156474691203 \tabularnewline
0.32 & 99.7847108227771 & 0.26813149628785 \tabularnewline
0.33 & 99.8323079913579 & 0.254416257496629 \tabularnewline
0.34 & 99.8771845209311 & 0.240595158029447 \tabularnewline
0.35 & 99.919425200782 & 0.227375138986275 \tabularnewline
0.36 & 99.9592111903352 & 0.215227388031095 \tabularnewline
0.37 & 99.9968067523677 & 0.204696144037054 \tabularnewline
0.38 & 100.03254240224 & 0.196184174008379 \tabularnewline
0.39 & 100.066796561307 & 0.190018359734833 \tabularnewline
0.4 & 100.09997734379 & 0.186149657069543 \tabularnewline
0.41 & 100.132505810574 & 0.184827570641868 \tabularnewline
0.42 & 100.164801735569 & 0.185885184370396 \tabularnewline
0.43 & 100.197272533318 & 0.189230910838273 \tabularnewline
0.44 & 100.230305468954 & 0.194613655311641 \tabularnewline
0.45 & 100.264262691853 & 0.202046044295182 \tabularnewline
0.46 & 100.299478141201 & 0.211169123409712 \tabularnewline
0.47 & 100.336255104321 & 0.221854188563464 \tabularnewline
0.48 & 100.374863251705 & 0.234050358134016 \tabularnewline
0.49 & 100.415534325264 & 0.247441632854993 \tabularnewline
0.5 & 100.458456232153 & 0.261717968653141 \tabularnewline
0.51 & 100.503765951375 & 0.276691335735031 \tabularnewline
0.52 & 100.551542233655 & 0.291715707067331 \tabularnewline
0.53 & 100.601799431709 & 0.30653357561055 \tabularnewline
0.54 & 100.654483857672 & 0.320523233060798 \tabularnewline
0.55 & 100.709473813564 & 0.333507785306545 \tabularnewline
0.56 & 100.766583927684 & 0.344848093379025 \tabularnewline
0.57 & 100.825573748944 & 0.354441714442853 \tabularnewline
0.58 & 100.886159822635 & 0.361829180148596 \tabularnewline
0.59 & 100.948029822283 & 0.367097810063173 \tabularnewline
0.6 & 101.010856862461 & 0.370180838333244 \tabularnewline
0.61 & 101.074311965218 & 0.371139130379645 \tabularnewline
0.62 & 101.138072862959 & 0.370239756550345 \tabularnewline
0.63 & 101.201827909939 & 0.367406535886071 \tabularnewline
0.64 & 101.265274796181 & 0.362913656020949 \tabularnewline
0.65 & 101.328114891351 & 0.356847523301408 \tabularnewline
0.66 & 101.390045199504 & 0.349175388546769 \tabularnewline
0.67 & 101.450750835235 & 0.339838548345079 \tabularnewline
0.68 & 101.509901385713 & 0.328681525392596 \tabularnewline
0.69 & 101.567154300543 & 0.315632554694447 \tabularnewline
0.7 & 101.622167465414 & 0.300616196629406 \tabularnewline
0.71 & 101.674621440325 & 0.283652236599985 \tabularnewline
0.72 & 101.724249726332 & 0.265216910965695 \tabularnewline
0.73 & 101.770873254385 & 0.245615283678523 \tabularnewline
0.74 & 101.814433519234 & 0.225645165951998 \tabularnewline
0.75 & 101.855017832474 & 0.206134813285352 \tabularnewline
0.76 & 101.892870344167 & 0.18809196265338 \tabularnewline
0.77 & 101.92838391741 & 0.172471851308572 \tabularnewline
0.78 & 101.962070609039 & 0.159948267464575 \tabularnewline
0.79 & 101.994512271266 & 0.151038238215315 \tabularnewline
0.8 & 102.026297428494 & 0.145661065886695 \tabularnewline
0.81 & 102.057955782387 & 0.143341029209155 \tabularnewline
0.82 & 102.089906884678 & 0.142999631518742 \tabularnewline
0.83 & 102.122443593313 & 0.143486980493848 \tabularnewline
0.84 & 102.155771979056 & 0.143853842698953 \tabularnewline
0.85 & 102.190124571216 & 0.143571046908918 \tabularnewline
0.86 & 102.225950026661 & 0.143021193248777 \tabularnewline
0.87 & 102.264157325647 & 0.143952121467869 \tabularnewline
0.88 & 102.306357785907 & 0.149614949135465 \tabularnewline
0.89 & 102.355011159693 & 0.164129463617374 \tabularnewline
0.9 & 102.413357987972 & 0.190603200953336 \tabularnewline
0.91 & 102.485028999467 & 0.229082405995266 \tabularnewline
0.92 & 102.573279416674 & 0.275544235541771 \tabularnewline
0.93 & 102.679901903753 & 0.322210994142428 \tabularnewline
0.94 & 102.804006050451 & 0.358557821685359 \tabularnewline
0.95 & 102.940981883952 & 0.37315013377399 \tabularnewline
0.96 & 103.082059881532 & 0.355986184129712 \tabularnewline
0.97 & 103.214910989437 & 0.301902852471305 \tabularnewline
0.98 & 103.325650432556 & 0.215640216078268 \tabularnewline
0.99 & 103.40237875285 & 0.119902561460582 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=292513&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]97.6223022859515[/C][C]0.0483509641798273[/C][/ROW]
[ROW][C]0.02[/C][C]97.6393502875642[/C][C]0.0355170960344611[/C][/ROW]
[ROW][C]0.03[/C][C]97.6564630972973[/C][C]0.0287275347996188[/C][/ROW]
[ROW][C]0.04[/C][C]97.6728118732897[/C][C]0.0354690341644433[/C][/ROW]
[ROW][C]0.05[/C][C]97.6907676920899[/C][C]0.0572295920315693[/C][/ROW]
[ROW][C]0.06[/C][C]97.7141029778227[/C][C]0.0929779387803528[/C][/ROW]
[ROW][C]0.07[/C][C]97.746705625247[/C][C]0.142550261023014[/C][/ROW]
[ROW][C]0.08[/C][C]97.7919057667186[/C][C]0.204356063573075[/C][/ROW]
[ROW][C]0.09[/C][C]97.8520719708082[/C][C]0.274803274520087[/C][/ROW]
[ROW][C]0.1[/C][C]97.9282875650932[/C][C]0.348031930818409[/C][/ROW]
[ROW][C]0.11[/C][C]98.0201247396639[/C][C]0.41697583943091[/C][/ROW]
[ROW][C]0.12[/C][C]98.1256110247534[/C][C]0.474700190974735[/C][/ROW]
[ROW][C]0.13[/C][C]98.2414490293052[/C][C]0.515468104642683[/C][/ROW]
[ROW][C]0.14[/C][C]98.3634709650628[/C][C]0.53620289429269[/C][/ROW]
[ROW][C]0.15[/C][C]98.4872360861373[/C][C]0.536862166104896[/C][/ROW]
[ROW][C]0.16[/C][C]98.6086404592216[/C][C]0.520108349944204[/C][/ROW]
[ROW][C]0.17[/C][C]98.7244127084845[/C][C]0.490830620650265[/C][/ROW]
[ROW][C]0.18[/C][C]98.8324088463969[/C][C]0.454861399649859[/C][/ROW]
[ROW][C]0.19[/C][C]98.9316766413182[/C][C]0.41810083669891[/C][/ROW]
[ROW][C]0.2[/C][C]99.0223157035672[/C][C]0.385275345174779[/C][/ROW]
[ROW][C]0.21[/C][C]99.1051985954975[/C][C]0.359385909147389[/C][/ROW]
[ROW][C]0.22[/C][C]99.1816339128541[/C][C]0.341463646657329[/C][/ROW]
[ROW][C]0.23[/C][C]99.2530458028951[/C][C]0.330664943689755[/C][/ROW]
[ROW][C]0.24[/C][C]99.3207228322313[/C][C]0.32493631859805[/C][/ROW]
[ROW][C]0.25[/C][C]99.3856616512675[/C][C]0.321924193131219[/C][/ROW]
[ROW][C]0.26[/C][C]99.448505623271[/C][C]0.319411424452914[/C][/ROW]
[ROW][C]0.27[/C][C]99.5095606614836[/C][C]0.315949937797613[/C][/ROW]
[ROW][C]0.28[/C][C]99.5688617324258[/C][C]0.310508871650078[/C][/ROW]
[ROW][C]0.29[/C][C]99.6262628667389[/C][C]0.302818877824309[/C][/ROW]
[ROW][C]0.3[/C][C]99.6815284939881[/C][C]0.292916955515399[/C][/ROW]
[ROW][C]0.31[/C][C]99.734411478326[/C][C]0.281156474691203[/C][/ROW]
[ROW][C]0.32[/C][C]99.7847108227771[/C][C]0.26813149628785[/C][/ROW]
[ROW][C]0.33[/C][C]99.8323079913579[/C][C]0.254416257496629[/C][/ROW]
[ROW][C]0.34[/C][C]99.8771845209311[/C][C]0.240595158029447[/C][/ROW]
[ROW][C]0.35[/C][C]99.919425200782[/C][C]0.227375138986275[/C][/ROW]
[ROW][C]0.36[/C][C]99.9592111903352[/C][C]0.215227388031095[/C][/ROW]
[ROW][C]0.37[/C][C]99.9968067523677[/C][C]0.204696144037054[/C][/ROW]
[ROW][C]0.38[/C][C]100.03254240224[/C][C]0.196184174008379[/C][/ROW]
[ROW][C]0.39[/C][C]100.066796561307[/C][C]0.190018359734833[/C][/ROW]
[ROW][C]0.4[/C][C]100.09997734379[/C][C]0.186149657069543[/C][/ROW]
[ROW][C]0.41[/C][C]100.132505810574[/C][C]0.184827570641868[/C][/ROW]
[ROW][C]0.42[/C][C]100.164801735569[/C][C]0.185885184370396[/C][/ROW]
[ROW][C]0.43[/C][C]100.197272533318[/C][C]0.189230910838273[/C][/ROW]
[ROW][C]0.44[/C][C]100.230305468954[/C][C]0.194613655311641[/C][/ROW]
[ROW][C]0.45[/C][C]100.264262691853[/C][C]0.202046044295182[/C][/ROW]
[ROW][C]0.46[/C][C]100.299478141201[/C][C]0.211169123409712[/C][/ROW]
[ROW][C]0.47[/C][C]100.336255104321[/C][C]0.221854188563464[/C][/ROW]
[ROW][C]0.48[/C][C]100.374863251705[/C][C]0.234050358134016[/C][/ROW]
[ROW][C]0.49[/C][C]100.415534325264[/C][C]0.247441632854993[/C][/ROW]
[ROW][C]0.5[/C][C]100.458456232153[/C][C]0.261717968653141[/C][/ROW]
[ROW][C]0.51[/C][C]100.503765951375[/C][C]0.276691335735031[/C][/ROW]
[ROW][C]0.52[/C][C]100.551542233655[/C][C]0.291715707067331[/C][/ROW]
[ROW][C]0.53[/C][C]100.601799431709[/C][C]0.30653357561055[/C][/ROW]
[ROW][C]0.54[/C][C]100.654483857672[/C][C]0.320523233060798[/C][/ROW]
[ROW][C]0.55[/C][C]100.709473813564[/C][C]0.333507785306545[/C][/ROW]
[ROW][C]0.56[/C][C]100.766583927684[/C][C]0.344848093379025[/C][/ROW]
[ROW][C]0.57[/C][C]100.825573748944[/C][C]0.354441714442853[/C][/ROW]
[ROW][C]0.58[/C][C]100.886159822635[/C][C]0.361829180148596[/C][/ROW]
[ROW][C]0.59[/C][C]100.948029822283[/C][C]0.367097810063173[/C][/ROW]
[ROW][C]0.6[/C][C]101.010856862461[/C][C]0.370180838333244[/C][/ROW]
[ROW][C]0.61[/C][C]101.074311965218[/C][C]0.371139130379645[/C][/ROW]
[ROW][C]0.62[/C][C]101.138072862959[/C][C]0.370239756550345[/C][/ROW]
[ROW][C]0.63[/C][C]101.201827909939[/C][C]0.367406535886071[/C][/ROW]
[ROW][C]0.64[/C][C]101.265274796181[/C][C]0.362913656020949[/C][/ROW]
[ROW][C]0.65[/C][C]101.328114891351[/C][C]0.356847523301408[/C][/ROW]
[ROW][C]0.66[/C][C]101.390045199504[/C][C]0.349175388546769[/C][/ROW]
[ROW][C]0.67[/C][C]101.450750835235[/C][C]0.339838548345079[/C][/ROW]
[ROW][C]0.68[/C][C]101.509901385713[/C][C]0.328681525392596[/C][/ROW]
[ROW][C]0.69[/C][C]101.567154300543[/C][C]0.315632554694447[/C][/ROW]
[ROW][C]0.7[/C][C]101.622167465414[/C][C]0.300616196629406[/C][/ROW]
[ROW][C]0.71[/C][C]101.674621440325[/C][C]0.283652236599985[/C][/ROW]
[ROW][C]0.72[/C][C]101.724249726332[/C][C]0.265216910965695[/C][/ROW]
[ROW][C]0.73[/C][C]101.770873254385[/C][C]0.245615283678523[/C][/ROW]
[ROW][C]0.74[/C][C]101.814433519234[/C][C]0.225645165951998[/C][/ROW]
[ROW][C]0.75[/C][C]101.855017832474[/C][C]0.206134813285352[/C][/ROW]
[ROW][C]0.76[/C][C]101.892870344167[/C][C]0.18809196265338[/C][/ROW]
[ROW][C]0.77[/C][C]101.92838391741[/C][C]0.172471851308572[/C][/ROW]
[ROW][C]0.78[/C][C]101.962070609039[/C][C]0.159948267464575[/C][/ROW]
[ROW][C]0.79[/C][C]101.994512271266[/C][C]0.151038238215315[/C][/ROW]
[ROW][C]0.8[/C][C]102.026297428494[/C][C]0.145661065886695[/C][/ROW]
[ROW][C]0.81[/C][C]102.057955782387[/C][C]0.143341029209155[/C][/ROW]
[ROW][C]0.82[/C][C]102.089906884678[/C][C]0.142999631518742[/C][/ROW]
[ROW][C]0.83[/C][C]102.122443593313[/C][C]0.143486980493848[/C][/ROW]
[ROW][C]0.84[/C][C]102.155771979056[/C][C]0.143853842698953[/C][/ROW]
[ROW][C]0.85[/C][C]102.190124571216[/C][C]0.143571046908918[/C][/ROW]
[ROW][C]0.86[/C][C]102.225950026661[/C][C]0.143021193248777[/C][/ROW]
[ROW][C]0.87[/C][C]102.264157325647[/C][C]0.143952121467869[/C][/ROW]
[ROW][C]0.88[/C][C]102.306357785907[/C][C]0.149614949135465[/C][/ROW]
[ROW][C]0.89[/C][C]102.355011159693[/C][C]0.164129463617374[/C][/ROW]
[ROW][C]0.9[/C][C]102.413357987972[/C][C]0.190603200953336[/C][/ROW]
[ROW][C]0.91[/C][C]102.485028999467[/C][C]0.229082405995266[/C][/ROW]
[ROW][C]0.92[/C][C]102.573279416674[/C][C]0.275544235541771[/C][/ROW]
[ROW][C]0.93[/C][C]102.679901903753[/C][C]0.322210994142428[/C][/ROW]
[ROW][C]0.94[/C][C]102.804006050451[/C][C]0.358557821685359[/C][/ROW]
[ROW][C]0.95[/C][C]102.940981883952[/C][C]0.37315013377399[/C][/ROW]
[ROW][C]0.96[/C][C]103.082059881532[/C][C]0.355986184129712[/C][/ROW]
[ROW][C]0.97[/C][C]103.214910989437[/C][C]0.301902852471305[/C][/ROW]
[ROW][C]0.98[/C][C]103.325650432556[/C][C]0.215640216078268[/C][/ROW]
[ROW][C]0.99[/C][C]103.40237875285[/C][C]0.119902561460582[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=292513&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=292513&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
0.0197.62230228595150.0483509641798273
0.0297.63935028756420.0355170960344611
0.0397.65646309729730.0287275347996188
0.0497.67281187328970.0354690341644433
0.0597.69076769208990.0572295920315693
0.0697.71410297782270.0929779387803528
0.0797.7467056252470.142550261023014
0.0897.79190576671860.204356063573075
0.0997.85207197080820.274803274520087
0.197.92828756509320.348031930818409
0.1198.02012473966390.41697583943091
0.1298.12561102475340.474700190974735
0.1398.24144902930520.515468104642683
0.1498.36347096506280.53620289429269
0.1598.48723608613730.536862166104896
0.1698.60864045922160.520108349944204
0.1798.72441270848450.490830620650265
0.1898.83240884639690.454861399649859
0.1998.93167664131820.41810083669891
0.299.02231570356720.385275345174779
0.2199.10519859549750.359385909147389
0.2299.18163391285410.341463646657329
0.2399.25304580289510.330664943689755
0.2499.32072283223130.32493631859805
0.2599.38566165126750.321924193131219
0.2699.4485056232710.319411424452914
0.2799.50956066148360.315949937797613
0.2899.56886173242580.310508871650078
0.2999.62626286673890.302818877824309
0.399.68152849398810.292916955515399
0.3199.7344114783260.281156474691203
0.3299.78471082277710.26813149628785
0.3399.83230799135790.254416257496629
0.3499.87718452093110.240595158029447
0.3599.9194252007820.227375138986275
0.3699.95921119033520.215227388031095
0.3799.99680675236770.204696144037054
0.38100.032542402240.196184174008379
0.39100.0667965613070.190018359734833
0.4100.099977343790.186149657069543
0.41100.1325058105740.184827570641868
0.42100.1648017355690.185885184370396
0.43100.1972725333180.189230910838273
0.44100.2303054689540.194613655311641
0.45100.2642626918530.202046044295182
0.46100.2994781412010.211169123409712
0.47100.3362551043210.221854188563464
0.48100.3748632517050.234050358134016
0.49100.4155343252640.247441632854993
0.5100.4584562321530.261717968653141
0.51100.5037659513750.276691335735031
0.52100.5515422336550.291715707067331
0.53100.6017994317090.30653357561055
0.54100.6544838576720.320523233060798
0.55100.7094738135640.333507785306545
0.56100.7665839276840.344848093379025
0.57100.8255737489440.354441714442853
0.58100.8861598226350.361829180148596
0.59100.9480298222830.367097810063173
0.6101.0108568624610.370180838333244
0.61101.0743119652180.371139130379645
0.62101.1380728629590.370239756550345
0.63101.2018279099390.367406535886071
0.64101.2652747961810.362913656020949
0.65101.3281148913510.356847523301408
0.66101.3900451995040.349175388546769
0.67101.4507508352350.339838548345079
0.68101.5099013857130.328681525392596
0.69101.5671543005430.315632554694447
0.7101.6221674654140.300616196629406
0.71101.6746214403250.283652236599985
0.72101.7242497263320.265216910965695
0.73101.7708732543850.245615283678523
0.74101.8144335192340.225645165951998
0.75101.8550178324740.206134813285352
0.76101.8928703441670.18809196265338
0.77101.928383917410.172471851308572
0.78101.9620706090390.159948267464575
0.79101.9945122712660.151038238215315
0.8102.0262974284940.145661065886695
0.81102.0579557823870.143341029209155
0.82102.0899068846780.142999631518742
0.83102.1224435933130.143486980493848
0.84102.1557719790560.143853842698953
0.85102.1901245712160.143571046908918
0.86102.2259500266610.143021193248777
0.87102.2641573256470.143952121467869
0.88102.3063577859070.149614949135465
0.89102.3550111596930.164129463617374
0.9102.4133579879720.190603200953336
0.91102.4850289994670.229082405995266
0.92102.5732794166740.275544235541771
0.93102.6799019037530.322210994142428
0.94102.8040060504510.358557821685359
0.95102.9409818839520.37315013377399
0.96103.0820598815320.355986184129712
0.97103.2149109894370.301902852471305
0.98103.3256504325560.215640216078268
0.99103.402378752850.119902561460582


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')