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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 computationMon, 09 Feb 2015 10:27:36 +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/09/t1423477688j24yrg9afi5tceh.htm/, Retrieved Sat, 18 May 2024 04:06:29 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=276859, Retrieved Sat, 18 May 2024 04:06:29 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact108

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] [] [2015-02-09 10:27:36] [478e7c199ef13b68c565592d49c085e5] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4,8
4,81
5,16
5,26
5,29
5,29
5,29
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,3
5,35
5,44
5,47
5,47
5,48
5,48
5,48
5,48
5,48
5,48
5,48
5,5
5,55
5,57
5,58
5,58
5,58
5,59
5,59
5,59
5,55
5,61
5,61
5,61
5,63
5,69
5,7
5,7
5,7
5,7
5,7
5,7
5,7
5,7
5,7
5,7
5,71
5,74
5,77
5,79
5,79
5,8
5,8
5,8
5,8
5,8
5,81
5,81
5,83
5,94
5,98
5,99
6
6,02
6,02
6,02
6,02
6,02
6,02
6,02
6,04
6,06
6,06
6,07
6,14
6,19
6,2
6,22
6,22

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=276859&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=276859&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276859&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
0.014.842197545352240.111457552932124
0.024.93213401663930.190866463688889
0.035.041202327068680.190386098602551
0.045.137422677323240.142937581615607
0.055.206114573666620.0907267629687507
0.065.248505225831730.0523060044590835
0.075.272322087438220.0289937096919224
0.085.285160498568350.0165381140338508
0.095.292293191797440.010917906819422
0.15.296868582327230.00982031995786426
0.115.300709647711770.012147020251876
0.125.304959976752570.0172741006067952
0.135.31043333343740.0247565724893935
0.145.317732398750680.0340235046387491
0.155.327237869133150.0441805472496322
0.165.3390548344590.0540177243836832
0.175.352978496435390.0622421630803014
0.185.36851368629820.0677732919297248
0.195.384954959357090.0699501692510336
0.25.401510605324870.068722958521099
0.215.417439703408370.0645848214749893
0.225.432169106968360.0584587009570416
0.235.445365723603380.0514912514295171
0.245.456954018029090.0448169290734081
0.255.467083505803150.0393769475337873
0.265.476061584645850.0358014422350705
0.275.484271421147520.0342842188784475
0.285.492093331325450.0345488412787194
0.295.499843182442310.0360167551660234
0.35.507735071959340.0380157474757139
0.315.51586963127440.0399642587367992
0.325.524244698508520.0414196923529436
0.335.532782122617670.0421469688702967
0.345.541363066062650.0420894003549423
0.355.549864178022990.0413606793770746
0.365.558188150389870.0402046637914118
0.375.566284109254370.0389310341427418
0.385.574155638793620.037880303812663
0.395.58185657242190.0373192772515025
0.45.589476666790360.0374086961268617
0.415.59712066493540.0381595401093104
0.425.604884959227580.0394383206997764
0.435.612836098448440.0409789268524862
0.445.6209948297640.0424736371327403
0.455.629328340943540.0436019168548275
0.465.637752006771940.0440743953213928
0.475.646140410898720.043710572440479
0.485.654345912186590.0424381907233781
0.495.662221780130570.0403279461782634
0.55.669646150747370.0375555695751113
0.515.676542898306640.0344244378696859
0.525.682896011820980.0312891652577581
0.535.688755113253350.0285379430427058
0.545.694231160178120.0265449190477887
0.555.699482895559370.0256012249659755
0.565.704696010637510.0258316450670008
0.575.710058095911670.0271566811206033
0.585.715733154563820.0293257015110253
0.595.72183967491990.0319638612257147
0.65.728435964827070.0346711648817097
0.615.735515626256670.0370788915659844
0.625.743014718907310.0389054081462087
0.635.750830422384850.0399863979781161
0.645.758849043119290.0403183759201959
0.655.766979295924310.0400827326926041
0.665.775185245802630.0396421266159301
0.675.783512451940810.0394964550127648
0.685.792100995083460.0402326764972702
0.695.801180383075820.0423742356902804
0.75.811043870298280.0462126226823287
0.715.822003343472030.0516927457181885
0.725.834330181342470.0583987400026875
0.735.848191610949460.0656144290799681
0.745.863594990586490.0724153164687382
0.755.88035301876850.077842676466035
0.765.898080309322760.081017474746186
0.775.916226087848840.0813168993251491
0.785.934140024096370.0784961750790686
0.795.951160422957350.0727345943779786
0.85.966708482911710.0646269541695912
0.815.980370852054880.0550640541117393
0.825.991955693205740.0450756461701257
0.836.001513830122890.0356765338325365
0.846.009324298892410.0277449229829347
0.856.01585094795060.0219493583536751
0.866.021682723910630.0187438575885409
0.876.027474583579650.0182288276488046
0.886.033906978119850.0200560630249667
0.896.041674965795680.0237615700319371
0.96.051497158877510.0291110878684135
0.916.064100371932150.0360440720592875
0.926.080107510746290.0441543892180214
0.936.0997759304330.0520982130036393
0.946.122637662253720.0574099014187184
0.956.147247214501360.0572944749024745
0.966.171298751460980.0503115618661824
0.976.192178756757330.0377296723546198
0.986.207698717621520.0228875773684606
0.996.216757078409880.00907879791402665

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 4.84219754535224 & 0.111457552932124 \tabularnewline
0.02 & 4.9321340166393 & 0.190866463688889 \tabularnewline
0.03 & 5.04120232706868 & 0.190386098602551 \tabularnewline
0.04 & 5.13742267732324 & 0.142937581615607 \tabularnewline
0.05 & 5.20611457366662 & 0.0907267629687507 \tabularnewline
0.06 & 5.24850522583173 & 0.0523060044590835 \tabularnewline
0.07 & 5.27232208743822 & 0.0289937096919224 \tabularnewline
0.08 & 5.28516049856835 & 0.0165381140338508 \tabularnewline
0.09 & 5.29229319179744 & 0.010917906819422 \tabularnewline
0.1 & 5.29686858232723 & 0.00982031995786426 \tabularnewline
0.11 & 5.30070964771177 & 0.012147020251876 \tabularnewline
0.12 & 5.30495997675257 & 0.0172741006067952 \tabularnewline
0.13 & 5.3104333334374 & 0.0247565724893935 \tabularnewline
0.14 & 5.31773239875068 & 0.0340235046387491 \tabularnewline
0.15 & 5.32723786913315 & 0.0441805472496322 \tabularnewline
0.16 & 5.339054834459 & 0.0540177243836832 \tabularnewline
0.17 & 5.35297849643539 & 0.0622421630803014 \tabularnewline
0.18 & 5.3685136862982 & 0.0677732919297248 \tabularnewline
0.19 & 5.38495495935709 & 0.0699501692510336 \tabularnewline
0.2 & 5.40151060532487 & 0.068722958521099 \tabularnewline
0.21 & 5.41743970340837 & 0.0645848214749893 \tabularnewline
0.22 & 5.43216910696836 & 0.0584587009570416 \tabularnewline
0.23 & 5.44536572360338 & 0.0514912514295171 \tabularnewline
0.24 & 5.45695401802909 & 0.0448169290734081 \tabularnewline
0.25 & 5.46708350580315 & 0.0393769475337873 \tabularnewline
0.26 & 5.47606158464585 & 0.0358014422350705 \tabularnewline
0.27 & 5.48427142114752 & 0.0342842188784475 \tabularnewline
0.28 & 5.49209333132545 & 0.0345488412787194 \tabularnewline
0.29 & 5.49984318244231 & 0.0360167551660234 \tabularnewline
0.3 & 5.50773507195934 & 0.0380157474757139 \tabularnewline
0.31 & 5.5158696312744 & 0.0399642587367992 \tabularnewline
0.32 & 5.52424469850852 & 0.0414196923529436 \tabularnewline
0.33 & 5.53278212261767 & 0.0421469688702967 \tabularnewline
0.34 & 5.54136306606265 & 0.0420894003549423 \tabularnewline
0.35 & 5.54986417802299 & 0.0413606793770746 \tabularnewline
0.36 & 5.55818815038987 & 0.0402046637914118 \tabularnewline
0.37 & 5.56628410925437 & 0.0389310341427418 \tabularnewline
0.38 & 5.57415563879362 & 0.037880303812663 \tabularnewline
0.39 & 5.5818565724219 & 0.0373192772515025 \tabularnewline
0.4 & 5.58947666679036 & 0.0374086961268617 \tabularnewline
0.41 & 5.5971206649354 & 0.0381595401093104 \tabularnewline
0.42 & 5.60488495922758 & 0.0394383206997764 \tabularnewline
0.43 & 5.61283609844844 & 0.0409789268524862 \tabularnewline
0.44 & 5.620994829764 & 0.0424736371327403 \tabularnewline
0.45 & 5.62932834094354 & 0.0436019168548275 \tabularnewline
0.46 & 5.63775200677194 & 0.0440743953213928 \tabularnewline
0.47 & 5.64614041089872 & 0.043710572440479 \tabularnewline
0.48 & 5.65434591218659 & 0.0424381907233781 \tabularnewline
0.49 & 5.66222178013057 & 0.0403279461782634 \tabularnewline
0.5 & 5.66964615074737 & 0.0375555695751113 \tabularnewline
0.51 & 5.67654289830664 & 0.0344244378696859 \tabularnewline
0.52 & 5.68289601182098 & 0.0312891652577581 \tabularnewline
0.53 & 5.68875511325335 & 0.0285379430427058 \tabularnewline
0.54 & 5.69423116017812 & 0.0265449190477887 \tabularnewline
0.55 & 5.69948289555937 & 0.0256012249659755 \tabularnewline
0.56 & 5.70469601063751 & 0.0258316450670008 \tabularnewline
0.57 & 5.71005809591167 & 0.0271566811206033 \tabularnewline
0.58 & 5.71573315456382 & 0.0293257015110253 \tabularnewline
0.59 & 5.7218396749199 & 0.0319638612257147 \tabularnewline
0.6 & 5.72843596482707 & 0.0346711648817097 \tabularnewline
0.61 & 5.73551562625667 & 0.0370788915659844 \tabularnewline
0.62 & 5.74301471890731 & 0.0389054081462087 \tabularnewline
0.63 & 5.75083042238485 & 0.0399863979781161 \tabularnewline
0.64 & 5.75884904311929 & 0.0403183759201959 \tabularnewline
0.65 & 5.76697929592431 & 0.0400827326926041 \tabularnewline
0.66 & 5.77518524580263 & 0.0396421266159301 \tabularnewline
0.67 & 5.78351245194081 & 0.0394964550127648 \tabularnewline
0.68 & 5.79210099508346 & 0.0402326764972702 \tabularnewline
0.69 & 5.80118038307582 & 0.0423742356902804 \tabularnewline
0.7 & 5.81104387029828 & 0.0462126226823287 \tabularnewline
0.71 & 5.82200334347203 & 0.0516927457181885 \tabularnewline
0.72 & 5.83433018134247 & 0.0583987400026875 \tabularnewline
0.73 & 5.84819161094946 & 0.0656144290799681 \tabularnewline
0.74 & 5.86359499058649 & 0.0724153164687382 \tabularnewline
0.75 & 5.8803530187685 & 0.077842676466035 \tabularnewline
0.76 & 5.89808030932276 & 0.081017474746186 \tabularnewline
0.77 & 5.91622608784884 & 0.0813168993251491 \tabularnewline
0.78 & 5.93414002409637 & 0.0784961750790686 \tabularnewline
0.79 & 5.95116042295735 & 0.0727345943779786 \tabularnewline
0.8 & 5.96670848291171 & 0.0646269541695912 \tabularnewline
0.81 & 5.98037085205488 & 0.0550640541117393 \tabularnewline
0.82 & 5.99195569320574 & 0.0450756461701257 \tabularnewline
0.83 & 6.00151383012289 & 0.0356765338325365 \tabularnewline
0.84 & 6.00932429889241 & 0.0277449229829347 \tabularnewline
0.85 & 6.0158509479506 & 0.0219493583536751 \tabularnewline
0.86 & 6.02168272391063 & 0.0187438575885409 \tabularnewline
0.87 & 6.02747458357965 & 0.0182288276488046 \tabularnewline
0.88 & 6.03390697811985 & 0.0200560630249667 \tabularnewline
0.89 & 6.04167496579568 & 0.0237615700319371 \tabularnewline
0.9 & 6.05149715887751 & 0.0291110878684135 \tabularnewline
0.91 & 6.06410037193215 & 0.0360440720592875 \tabularnewline
0.92 & 6.08010751074629 & 0.0441543892180214 \tabularnewline
0.93 & 6.099775930433 & 0.0520982130036393 \tabularnewline
0.94 & 6.12263766225372 & 0.0574099014187184 \tabularnewline
0.95 & 6.14724721450136 & 0.0572944749024745 \tabularnewline
0.96 & 6.17129875146098 & 0.0503115618661824 \tabularnewline
0.97 & 6.19217875675733 & 0.0377296723546198 \tabularnewline
0.98 & 6.20769871762152 & 0.0228875773684606 \tabularnewline
0.99 & 6.21675707840988 & 0.00907879791402665 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=276859&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]4.84219754535224[/C][C]0.111457552932124[/C][/ROW]
[ROW][C]0.02[/C][C]4.9321340166393[/C][C]0.190866463688889[/C][/ROW]
[ROW][C]0.03[/C][C]5.04120232706868[/C][C]0.190386098602551[/C][/ROW]
[ROW][C]0.04[/C][C]5.13742267732324[/C][C]0.142937581615607[/C][/ROW]
[ROW][C]0.05[/C][C]5.20611457366662[/C][C]0.0907267629687507[/C][/ROW]
[ROW][C]0.06[/C][C]5.24850522583173[/C][C]0.0523060044590835[/C][/ROW]
[ROW][C]0.07[/C][C]5.27232208743822[/C][C]0.0289937096919224[/C][/ROW]
[ROW][C]0.08[/C][C]5.28516049856835[/C][C]0.0165381140338508[/C][/ROW]
[ROW][C]0.09[/C][C]5.29229319179744[/C][C]0.010917906819422[/C][/ROW]
[ROW][C]0.1[/C][C]5.29686858232723[/C][C]0.00982031995786426[/C][/ROW]
[ROW][C]0.11[/C][C]5.30070964771177[/C][C]0.012147020251876[/C][/ROW]
[ROW][C]0.12[/C][C]5.30495997675257[/C][C]0.0172741006067952[/C][/ROW]
[ROW][C]0.13[/C][C]5.3104333334374[/C][C]0.0247565724893935[/C][/ROW]
[ROW][C]0.14[/C][C]5.31773239875068[/C][C]0.0340235046387491[/C][/ROW]
[ROW][C]0.15[/C][C]5.32723786913315[/C][C]0.0441805472496322[/C][/ROW]
[ROW][C]0.16[/C][C]5.339054834459[/C][C]0.0540177243836832[/C][/ROW]
[ROW][C]0.17[/C][C]5.35297849643539[/C][C]0.0622421630803014[/C][/ROW]
[ROW][C]0.18[/C][C]5.3685136862982[/C][C]0.0677732919297248[/C][/ROW]
[ROW][C]0.19[/C][C]5.38495495935709[/C][C]0.0699501692510336[/C][/ROW]
[ROW][C]0.2[/C][C]5.40151060532487[/C][C]0.068722958521099[/C][/ROW]
[ROW][C]0.21[/C][C]5.41743970340837[/C][C]0.0645848214749893[/C][/ROW]
[ROW][C]0.22[/C][C]5.43216910696836[/C][C]0.0584587009570416[/C][/ROW]
[ROW][C]0.23[/C][C]5.44536572360338[/C][C]0.0514912514295171[/C][/ROW]
[ROW][C]0.24[/C][C]5.45695401802909[/C][C]0.0448169290734081[/C][/ROW]
[ROW][C]0.25[/C][C]5.46708350580315[/C][C]0.0393769475337873[/C][/ROW]
[ROW][C]0.26[/C][C]5.47606158464585[/C][C]0.0358014422350705[/C][/ROW]
[ROW][C]0.27[/C][C]5.48427142114752[/C][C]0.0342842188784475[/C][/ROW]
[ROW][C]0.28[/C][C]5.49209333132545[/C][C]0.0345488412787194[/C][/ROW]
[ROW][C]0.29[/C][C]5.49984318244231[/C][C]0.0360167551660234[/C][/ROW]
[ROW][C]0.3[/C][C]5.50773507195934[/C][C]0.0380157474757139[/C][/ROW]
[ROW][C]0.31[/C][C]5.5158696312744[/C][C]0.0399642587367992[/C][/ROW]
[ROW][C]0.32[/C][C]5.52424469850852[/C][C]0.0414196923529436[/C][/ROW]
[ROW][C]0.33[/C][C]5.53278212261767[/C][C]0.0421469688702967[/C][/ROW]
[ROW][C]0.34[/C][C]5.54136306606265[/C][C]0.0420894003549423[/C][/ROW]
[ROW][C]0.35[/C][C]5.54986417802299[/C][C]0.0413606793770746[/C][/ROW]
[ROW][C]0.36[/C][C]5.55818815038987[/C][C]0.0402046637914118[/C][/ROW]
[ROW][C]0.37[/C][C]5.56628410925437[/C][C]0.0389310341427418[/C][/ROW]
[ROW][C]0.38[/C][C]5.57415563879362[/C][C]0.037880303812663[/C][/ROW]
[ROW][C]0.39[/C][C]5.5818565724219[/C][C]0.0373192772515025[/C][/ROW]
[ROW][C]0.4[/C][C]5.58947666679036[/C][C]0.0374086961268617[/C][/ROW]
[ROW][C]0.41[/C][C]5.5971206649354[/C][C]0.0381595401093104[/C][/ROW]
[ROW][C]0.42[/C][C]5.60488495922758[/C][C]0.0394383206997764[/C][/ROW]
[ROW][C]0.43[/C][C]5.61283609844844[/C][C]0.0409789268524862[/C][/ROW]
[ROW][C]0.44[/C][C]5.620994829764[/C][C]0.0424736371327403[/C][/ROW]
[ROW][C]0.45[/C][C]5.62932834094354[/C][C]0.0436019168548275[/C][/ROW]
[ROW][C]0.46[/C][C]5.63775200677194[/C][C]0.0440743953213928[/C][/ROW]
[ROW][C]0.47[/C][C]5.64614041089872[/C][C]0.043710572440479[/C][/ROW]
[ROW][C]0.48[/C][C]5.65434591218659[/C][C]0.0424381907233781[/C][/ROW]
[ROW][C]0.49[/C][C]5.66222178013057[/C][C]0.0403279461782634[/C][/ROW]
[ROW][C]0.5[/C][C]5.66964615074737[/C][C]0.0375555695751113[/C][/ROW]
[ROW][C]0.51[/C][C]5.67654289830664[/C][C]0.0344244378696859[/C][/ROW]
[ROW][C]0.52[/C][C]5.68289601182098[/C][C]0.0312891652577581[/C][/ROW]
[ROW][C]0.53[/C][C]5.68875511325335[/C][C]0.0285379430427058[/C][/ROW]
[ROW][C]0.54[/C][C]5.69423116017812[/C][C]0.0265449190477887[/C][/ROW]
[ROW][C]0.55[/C][C]5.69948289555937[/C][C]0.0256012249659755[/C][/ROW]
[ROW][C]0.56[/C][C]5.70469601063751[/C][C]0.0258316450670008[/C][/ROW]
[ROW][C]0.57[/C][C]5.71005809591167[/C][C]0.0271566811206033[/C][/ROW]
[ROW][C]0.58[/C][C]5.71573315456382[/C][C]0.0293257015110253[/C][/ROW]
[ROW][C]0.59[/C][C]5.7218396749199[/C][C]0.0319638612257147[/C][/ROW]
[ROW][C]0.6[/C][C]5.72843596482707[/C][C]0.0346711648817097[/C][/ROW]
[ROW][C]0.61[/C][C]5.73551562625667[/C][C]0.0370788915659844[/C][/ROW]
[ROW][C]0.62[/C][C]5.74301471890731[/C][C]0.0389054081462087[/C][/ROW]
[ROW][C]0.63[/C][C]5.75083042238485[/C][C]0.0399863979781161[/C][/ROW]
[ROW][C]0.64[/C][C]5.75884904311929[/C][C]0.0403183759201959[/C][/ROW]
[ROW][C]0.65[/C][C]5.76697929592431[/C][C]0.0400827326926041[/C][/ROW]
[ROW][C]0.66[/C][C]5.77518524580263[/C][C]0.0396421266159301[/C][/ROW]
[ROW][C]0.67[/C][C]5.78351245194081[/C][C]0.0394964550127648[/C][/ROW]
[ROW][C]0.68[/C][C]5.79210099508346[/C][C]0.0402326764972702[/C][/ROW]
[ROW][C]0.69[/C][C]5.80118038307582[/C][C]0.0423742356902804[/C][/ROW]
[ROW][C]0.7[/C][C]5.81104387029828[/C][C]0.0462126226823287[/C][/ROW]
[ROW][C]0.71[/C][C]5.82200334347203[/C][C]0.0516927457181885[/C][/ROW]
[ROW][C]0.72[/C][C]5.83433018134247[/C][C]0.0583987400026875[/C][/ROW]
[ROW][C]0.73[/C][C]5.84819161094946[/C][C]0.0656144290799681[/C][/ROW]
[ROW][C]0.74[/C][C]5.86359499058649[/C][C]0.0724153164687382[/C][/ROW]
[ROW][C]0.75[/C][C]5.8803530187685[/C][C]0.077842676466035[/C][/ROW]
[ROW][C]0.76[/C][C]5.89808030932276[/C][C]0.081017474746186[/C][/ROW]
[ROW][C]0.77[/C][C]5.91622608784884[/C][C]0.0813168993251491[/C][/ROW]
[ROW][C]0.78[/C][C]5.93414002409637[/C][C]0.0784961750790686[/C][/ROW]
[ROW][C]0.79[/C][C]5.95116042295735[/C][C]0.0727345943779786[/C][/ROW]
[ROW][C]0.8[/C][C]5.96670848291171[/C][C]0.0646269541695912[/C][/ROW]
[ROW][C]0.81[/C][C]5.98037085205488[/C][C]0.0550640541117393[/C][/ROW]
[ROW][C]0.82[/C][C]5.99195569320574[/C][C]0.0450756461701257[/C][/ROW]
[ROW][C]0.83[/C][C]6.00151383012289[/C][C]0.0356765338325365[/C][/ROW]
[ROW][C]0.84[/C][C]6.00932429889241[/C][C]0.0277449229829347[/C][/ROW]
[ROW][C]0.85[/C][C]6.0158509479506[/C][C]0.0219493583536751[/C][/ROW]
[ROW][C]0.86[/C][C]6.02168272391063[/C][C]0.0187438575885409[/C][/ROW]
[ROW][C]0.87[/C][C]6.02747458357965[/C][C]0.0182288276488046[/C][/ROW]
[ROW][C]0.88[/C][C]6.03390697811985[/C][C]0.0200560630249667[/C][/ROW]
[ROW][C]0.89[/C][C]6.04167496579568[/C][C]0.0237615700319371[/C][/ROW]
[ROW][C]0.9[/C][C]6.05149715887751[/C][C]0.0291110878684135[/C][/ROW]
[ROW][C]0.91[/C][C]6.06410037193215[/C][C]0.0360440720592875[/C][/ROW]
[ROW][C]0.92[/C][C]6.08010751074629[/C][C]0.0441543892180214[/C][/ROW]
[ROW][C]0.93[/C][C]6.099775930433[/C][C]0.0520982130036393[/C][/ROW]
[ROW][C]0.94[/C][C]6.12263766225372[/C][C]0.0574099014187184[/C][/ROW]
[ROW][C]0.95[/C][C]6.14724721450136[/C][C]0.0572944749024745[/C][/ROW]
[ROW][C]0.96[/C][C]6.17129875146098[/C][C]0.0503115618661824[/C][/ROW]
[ROW][C]0.97[/C][C]6.19217875675733[/C][C]0.0377296723546198[/C][/ROW]
[ROW][C]0.98[/C][C]6.20769871762152[/C][C]0.0228875773684606[/C][/ROW]
[ROW][C]0.99[/C][C]6.21675707840988[/C][C]0.00907879791402665[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=276859&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=276859&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
0.014.842197545352240.111457552932124
0.024.93213401663930.190866463688889
0.035.041202327068680.190386098602551
0.045.137422677323240.142937581615607
0.055.206114573666620.0907267629687507
0.065.248505225831730.0523060044590835
0.075.272322087438220.0289937096919224
0.085.285160498568350.0165381140338508
0.095.292293191797440.010917906819422
0.15.296868582327230.00982031995786426
0.115.300709647711770.012147020251876
0.125.304959976752570.0172741006067952
0.135.31043333343740.0247565724893935
0.145.317732398750680.0340235046387491
0.155.327237869133150.0441805472496322
0.165.3390548344590.0540177243836832
0.175.352978496435390.0622421630803014
0.185.36851368629820.0677732919297248
0.195.384954959357090.0699501692510336
0.25.401510605324870.068722958521099
0.215.417439703408370.0645848214749893
0.225.432169106968360.0584587009570416
0.235.445365723603380.0514912514295171
0.245.456954018029090.0448169290734081
0.255.467083505803150.0393769475337873
0.265.476061584645850.0358014422350705
0.275.484271421147520.0342842188784475
0.285.492093331325450.0345488412787194
0.295.499843182442310.0360167551660234
0.35.507735071959340.0380157474757139
0.315.51586963127440.0399642587367992
0.325.524244698508520.0414196923529436
0.335.532782122617670.0421469688702967
0.345.541363066062650.0420894003549423
0.355.549864178022990.0413606793770746
0.365.558188150389870.0402046637914118
0.375.566284109254370.0389310341427418
0.385.574155638793620.037880303812663
0.395.58185657242190.0373192772515025
0.45.589476666790360.0374086961268617
0.415.59712066493540.0381595401093104
0.425.604884959227580.0394383206997764
0.435.612836098448440.0409789268524862
0.445.6209948297640.0424736371327403
0.455.629328340943540.0436019168548275
0.465.637752006771940.0440743953213928
0.475.646140410898720.043710572440479
0.485.654345912186590.0424381907233781
0.495.662221780130570.0403279461782634
0.55.669646150747370.0375555695751113
0.515.676542898306640.0344244378696859
0.525.682896011820980.0312891652577581
0.535.688755113253350.0285379430427058
0.545.694231160178120.0265449190477887
0.555.699482895559370.0256012249659755
0.565.704696010637510.0258316450670008
0.575.710058095911670.0271566811206033
0.585.715733154563820.0293257015110253
0.595.72183967491990.0319638612257147
0.65.728435964827070.0346711648817097
0.615.735515626256670.0370788915659844
0.625.743014718907310.0389054081462087
0.635.750830422384850.0399863979781161
0.645.758849043119290.0403183759201959
0.655.766979295924310.0400827326926041
0.665.775185245802630.0396421266159301
0.675.783512451940810.0394964550127648
0.685.792100995083460.0402326764972702
0.695.801180383075820.0423742356902804
0.75.811043870298280.0462126226823287
0.715.822003343472030.0516927457181885
0.725.834330181342470.0583987400026875
0.735.848191610949460.0656144290799681
0.745.863594990586490.0724153164687382
0.755.88035301876850.077842676466035
0.765.898080309322760.081017474746186
0.775.916226087848840.0813168993251491
0.785.934140024096370.0784961750790686
0.795.951160422957350.0727345943779786
0.85.966708482911710.0646269541695912
0.815.980370852054880.0550640541117393
0.825.991955693205740.0450756461701257
0.836.001513830122890.0356765338325365
0.846.009324298892410.0277449229829347
0.856.01585094795060.0219493583536751
0.866.021682723910630.0187438575885409
0.876.027474583579650.0182288276488046
0.886.033906978119850.0200560630249667
0.896.041674965795680.0237615700319371
0.96.051497158877510.0291110878684135
0.916.064100371932150.0360440720592875
0.926.080107510746290.0441543892180214
0.936.0997759304330.0520982130036393
0.946.122637662253720.0574099014187184
0.956.147247214501360.0572944749024745
0.966.171298751460980.0503115618661824
0.976.192178756757330.0377296723546198
0.986.207698717621520.0228875773684606
0.996.216757078409880.00907879791402665


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')