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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 computationFri, 02 Mar 2012 07:40:54 -0500
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/Mar/02/t1330692090s54m3x9npwuz6op.htm/, Retrieved Sun, 28 Apr 2024 16:43:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=163423, Retrieved Sun, 28 Apr 2024 16:43:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact138

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] [percentielen] [2012-03-02 12:40:54] [abc5d27992aad9340ff76ee686cd681b] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4.143
4.429
5.219
4.929
5.761
5.592
4.163
4.962
5.208
4.755
4.491
5.732
5.731
5.040
6.102
4.904
5.369
5.578
4.619
4.731
5.011
5.227
4.146
4.625
4.736
4.219
5.116
4.205
4.121
5.103
4.300
4.578
3.809
5.657
4.249
3.830
4.736
4.840
4.412
4.570
4.105
4.801
3.953
3.828
4.444
4.027
4.118
4.791
3.232
3.554
3.950
3.948
3.683
4.311
3.865
4.140
4.095
3.814
3.377
3.443
3.494
4.015
5.401
5.122
5.507
6.425
4.948
2.977
2.937
2.972
2.732
3.172
3.102
3.360
3.705
3.171
3.980
3.342
2.766
4.022
4.459

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=163423&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=163423&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163423&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
0.012.759796364508470.0689668044297233
0.022.81195995874360.102603098044104
0.032.874060503586040.11060396351169
0.042.93457972829190.107381453119923
0.052.989633000380220.108223504012613
0.063.040184220485180.114177214853866
0.073.088195826568140.120718861700476
0.083.134831110408270.125669248427777
0.093.180448306598940.129409109228331
0.13.225137472831660.133015621658622
0.113.269068852034560.137256745914658
0.123.312554194510640.142484580709998
0.133.355963304808280.148756659389327
0.143.399613314240380.155774787589243
0.153.443675031473690.162823928968318
0.163.48810865083790.168840390332371
0.173.532640080126950.172724058498114
0.183.57678841776780.173609889193197
0.193.619942815415770.171139751990291
0.23.661469922718950.165512328723353
0.213.700822537628350.157410930927018
0.223.737621444393450.147812165262686
0.233.771693689336560.137749463841725
0.243.803065542560330.128113117520426
0.253.831920917652910.119503042161764
0.263.858542422488670.11220268255903
0.273.883252013187020.106207516549607
0.283.906363328730230.101344200919605
0.293.928151113835970.0973664741640481
0.33.948837314900690.0940326499219317
0.313.968589969003670.0911325178253276
0.323.987530109475610.0885092090948002
0.334.005742822923030.0860552402609954
0.344.023290166320830.0837016541460808
0.354.040224913199350.0814433643667845
0.364.056604564716440.0793486090838974
0.374.072504788179620.0775497665494313
0.384.088030840168690.0762624253162333
0.394.10332508879720.0757618837960114
0.44.118568823698340.0763055066922755
0.414.133977229993750.0780995463743636
0.424.149787551221910.0812697091288449
0.434.166241767296830.0857666491584264
0.444.183566225790210.0914155739712898
0.454.20195131892510.0979393644509734
0.464.221534356246270.104962821320561
0.474.242388247129850.112086156695175
0.484.26451759930330.118934973724528
0.494.287862559813050.12515705963207
0.54.312309412850750.130522984355437
0.514.337705846095530.134879231617391
0.524.363878112138990.138186316689569
0.534.390647183394880.140482594174083
0.544.417841464143510.14187705665482
0.554.445304593950220.142493798158792
0.564.472898142539060.142438375860713
0.574.500500260350250.141808022806809
0.584.528002293569950.140638517849046
0.594.555305741202950.138959730346731
0.64.582321607124330.13678111981701
0.614.6089732498280.134146805077452
0.624.63520250908370.131149408334374
0.634.660977573479540.127945407912255
0.644.686300155630230.124725375980232
0.654.711209376836030.121733280838676
0.664.735780437183140.119172435119804
0.674.760117500805380.11720656116384
0.684.784341857699830.115893095915206
0.694.80857780762110.115185014065561
0.74.832939382941050.114959677680194
0.714.857520767705640.1150613980411
0.724.882392215707410.11531279383903
0.734.907601875634250.115593480311968
0.744.933182779005920.115824577030886
0.754.959163769640750.116013284331476
0.764.985583392088270.11618549629272
0.775.01250628057330.11645681257328
0.785.040041656976890.116988050805447
0.795.068362464846480.118027453429597
0.85.097721236928850.119890729466588
0.815.128455649106730.122932363218631
0.825.160974388807630.127435268420613
0.835.195714569109180.133439965683753
0.845.233067338028670.140632632232487
0.855.273279022236460.148211455874368
0.865.316348825487790.154970631756785
0.875.361955174766040.159505576476519
0.885.409443913649180.160551195316566
0.895.457898776904190.157349980160969
0.95.506296058489790.149887595546013
0.915.553747473582670.138949205093058
0.925.599891809012440.126033162723921
0.935.645601722292990.113644027185728
0.945.69420386765050.106842358889755
0.955.753094214255540.115757108202403
0.965.834671493427150.151102372070172
0.975.953792011828780.208821473171684
0.986.116764771409190.266046119008272
0.996.298282904948980.301900213625792

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 2.75979636450847 & 0.0689668044297233 \tabularnewline
0.02 & 2.8119599587436 & 0.102603098044104 \tabularnewline
0.03 & 2.87406050358604 & 0.11060396351169 \tabularnewline
0.04 & 2.9345797282919 & 0.107381453119923 \tabularnewline
0.05 & 2.98963300038022 & 0.108223504012613 \tabularnewline
0.06 & 3.04018422048518 & 0.114177214853866 \tabularnewline
0.07 & 3.08819582656814 & 0.120718861700476 \tabularnewline
0.08 & 3.13483111040827 & 0.125669248427777 \tabularnewline
0.09 & 3.18044830659894 & 0.129409109228331 \tabularnewline
0.1 & 3.22513747283166 & 0.133015621658622 \tabularnewline
0.11 & 3.26906885203456 & 0.137256745914658 \tabularnewline
0.12 & 3.31255419451064 & 0.142484580709998 \tabularnewline
0.13 & 3.35596330480828 & 0.148756659389327 \tabularnewline
0.14 & 3.39961331424038 & 0.155774787589243 \tabularnewline
0.15 & 3.44367503147369 & 0.162823928968318 \tabularnewline
0.16 & 3.4881086508379 & 0.168840390332371 \tabularnewline
0.17 & 3.53264008012695 & 0.172724058498114 \tabularnewline
0.18 & 3.5767884177678 & 0.173609889193197 \tabularnewline
0.19 & 3.61994281541577 & 0.171139751990291 \tabularnewline
0.2 & 3.66146992271895 & 0.165512328723353 \tabularnewline
0.21 & 3.70082253762835 & 0.157410930927018 \tabularnewline
0.22 & 3.73762144439345 & 0.147812165262686 \tabularnewline
0.23 & 3.77169368933656 & 0.137749463841725 \tabularnewline
0.24 & 3.80306554256033 & 0.128113117520426 \tabularnewline
0.25 & 3.83192091765291 & 0.119503042161764 \tabularnewline
0.26 & 3.85854242248867 & 0.11220268255903 \tabularnewline
0.27 & 3.88325201318702 & 0.106207516549607 \tabularnewline
0.28 & 3.90636332873023 & 0.101344200919605 \tabularnewline
0.29 & 3.92815111383597 & 0.0973664741640481 \tabularnewline
0.3 & 3.94883731490069 & 0.0940326499219317 \tabularnewline
0.31 & 3.96858996900367 & 0.0911325178253276 \tabularnewline
0.32 & 3.98753010947561 & 0.0885092090948002 \tabularnewline
0.33 & 4.00574282292303 & 0.0860552402609954 \tabularnewline
0.34 & 4.02329016632083 & 0.0837016541460808 \tabularnewline
0.35 & 4.04022491319935 & 0.0814433643667845 \tabularnewline
0.36 & 4.05660456471644 & 0.0793486090838974 \tabularnewline
0.37 & 4.07250478817962 & 0.0775497665494313 \tabularnewline
0.38 & 4.08803084016869 & 0.0762624253162333 \tabularnewline
0.39 & 4.1033250887972 & 0.0757618837960114 \tabularnewline
0.4 & 4.11856882369834 & 0.0763055066922755 \tabularnewline
0.41 & 4.13397722999375 & 0.0780995463743636 \tabularnewline
0.42 & 4.14978755122191 & 0.0812697091288449 \tabularnewline
0.43 & 4.16624176729683 & 0.0857666491584264 \tabularnewline
0.44 & 4.18356622579021 & 0.0914155739712898 \tabularnewline
0.45 & 4.2019513189251 & 0.0979393644509734 \tabularnewline
0.46 & 4.22153435624627 & 0.104962821320561 \tabularnewline
0.47 & 4.24238824712985 & 0.112086156695175 \tabularnewline
0.48 & 4.2645175993033 & 0.118934973724528 \tabularnewline
0.49 & 4.28786255981305 & 0.12515705963207 \tabularnewline
0.5 & 4.31230941285075 & 0.130522984355437 \tabularnewline
0.51 & 4.33770584609553 & 0.134879231617391 \tabularnewline
0.52 & 4.36387811213899 & 0.138186316689569 \tabularnewline
0.53 & 4.39064718339488 & 0.140482594174083 \tabularnewline
0.54 & 4.41784146414351 & 0.14187705665482 \tabularnewline
0.55 & 4.44530459395022 & 0.142493798158792 \tabularnewline
0.56 & 4.47289814253906 & 0.142438375860713 \tabularnewline
0.57 & 4.50050026035025 & 0.141808022806809 \tabularnewline
0.58 & 4.52800229356995 & 0.140638517849046 \tabularnewline
0.59 & 4.55530574120295 & 0.138959730346731 \tabularnewline
0.6 & 4.58232160712433 & 0.13678111981701 \tabularnewline
0.61 & 4.608973249828 & 0.134146805077452 \tabularnewline
0.62 & 4.6352025090837 & 0.131149408334374 \tabularnewline
0.63 & 4.66097757347954 & 0.127945407912255 \tabularnewline
0.64 & 4.68630015563023 & 0.124725375980232 \tabularnewline
0.65 & 4.71120937683603 & 0.121733280838676 \tabularnewline
0.66 & 4.73578043718314 & 0.119172435119804 \tabularnewline
0.67 & 4.76011750080538 & 0.11720656116384 \tabularnewline
0.68 & 4.78434185769983 & 0.115893095915206 \tabularnewline
0.69 & 4.8085778076211 & 0.115185014065561 \tabularnewline
0.7 & 4.83293938294105 & 0.114959677680194 \tabularnewline
0.71 & 4.85752076770564 & 0.1150613980411 \tabularnewline
0.72 & 4.88239221570741 & 0.11531279383903 \tabularnewline
0.73 & 4.90760187563425 & 0.115593480311968 \tabularnewline
0.74 & 4.93318277900592 & 0.115824577030886 \tabularnewline
0.75 & 4.95916376964075 & 0.116013284331476 \tabularnewline
0.76 & 4.98558339208827 & 0.11618549629272 \tabularnewline
0.77 & 5.0125062805733 & 0.11645681257328 \tabularnewline
0.78 & 5.04004165697689 & 0.116988050805447 \tabularnewline
0.79 & 5.06836246484648 & 0.118027453429597 \tabularnewline
0.8 & 5.09772123692885 & 0.119890729466588 \tabularnewline
0.81 & 5.12845564910673 & 0.122932363218631 \tabularnewline
0.82 & 5.16097438880763 & 0.127435268420613 \tabularnewline
0.83 & 5.19571456910918 & 0.133439965683753 \tabularnewline
0.84 & 5.23306733802867 & 0.140632632232487 \tabularnewline
0.85 & 5.27327902223646 & 0.148211455874368 \tabularnewline
0.86 & 5.31634882548779 & 0.154970631756785 \tabularnewline
0.87 & 5.36195517476604 & 0.159505576476519 \tabularnewline
0.88 & 5.40944391364918 & 0.160551195316566 \tabularnewline
0.89 & 5.45789877690419 & 0.157349980160969 \tabularnewline
0.9 & 5.50629605848979 & 0.149887595546013 \tabularnewline
0.91 & 5.55374747358267 & 0.138949205093058 \tabularnewline
0.92 & 5.59989180901244 & 0.126033162723921 \tabularnewline
0.93 & 5.64560172229299 & 0.113644027185728 \tabularnewline
0.94 & 5.6942038676505 & 0.106842358889755 \tabularnewline
0.95 & 5.75309421425554 & 0.115757108202403 \tabularnewline
0.96 & 5.83467149342715 & 0.151102372070172 \tabularnewline
0.97 & 5.95379201182878 & 0.208821473171684 \tabularnewline
0.98 & 6.11676477140919 & 0.266046119008272 \tabularnewline
0.99 & 6.29828290494898 & 0.301900213625792 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=163423&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]2.75979636450847[/C][C]0.0689668044297233[/C][/ROW]
[ROW][C]0.02[/C][C]2.8119599587436[/C][C]0.102603098044104[/C][/ROW]
[ROW][C]0.03[/C][C]2.87406050358604[/C][C]0.11060396351169[/C][/ROW]
[ROW][C]0.04[/C][C]2.9345797282919[/C][C]0.107381453119923[/C][/ROW]
[ROW][C]0.05[/C][C]2.98963300038022[/C][C]0.108223504012613[/C][/ROW]
[ROW][C]0.06[/C][C]3.04018422048518[/C][C]0.114177214853866[/C][/ROW]
[ROW][C]0.07[/C][C]3.08819582656814[/C][C]0.120718861700476[/C][/ROW]
[ROW][C]0.08[/C][C]3.13483111040827[/C][C]0.125669248427777[/C][/ROW]
[ROW][C]0.09[/C][C]3.18044830659894[/C][C]0.129409109228331[/C][/ROW]
[ROW][C]0.1[/C][C]3.22513747283166[/C][C]0.133015621658622[/C][/ROW]
[ROW][C]0.11[/C][C]3.26906885203456[/C][C]0.137256745914658[/C][/ROW]
[ROW][C]0.12[/C][C]3.31255419451064[/C][C]0.142484580709998[/C][/ROW]
[ROW][C]0.13[/C][C]3.35596330480828[/C][C]0.148756659389327[/C][/ROW]
[ROW][C]0.14[/C][C]3.39961331424038[/C][C]0.155774787589243[/C][/ROW]
[ROW][C]0.15[/C][C]3.44367503147369[/C][C]0.162823928968318[/C][/ROW]
[ROW][C]0.16[/C][C]3.4881086508379[/C][C]0.168840390332371[/C][/ROW]
[ROW][C]0.17[/C][C]3.53264008012695[/C][C]0.172724058498114[/C][/ROW]
[ROW][C]0.18[/C][C]3.5767884177678[/C][C]0.173609889193197[/C][/ROW]
[ROW][C]0.19[/C][C]3.61994281541577[/C][C]0.171139751990291[/C][/ROW]
[ROW][C]0.2[/C][C]3.66146992271895[/C][C]0.165512328723353[/C][/ROW]
[ROW][C]0.21[/C][C]3.70082253762835[/C][C]0.157410930927018[/C][/ROW]
[ROW][C]0.22[/C][C]3.73762144439345[/C][C]0.147812165262686[/C][/ROW]
[ROW][C]0.23[/C][C]3.77169368933656[/C][C]0.137749463841725[/C][/ROW]
[ROW][C]0.24[/C][C]3.80306554256033[/C][C]0.128113117520426[/C][/ROW]
[ROW][C]0.25[/C][C]3.83192091765291[/C][C]0.119503042161764[/C][/ROW]
[ROW][C]0.26[/C][C]3.85854242248867[/C][C]0.11220268255903[/C][/ROW]
[ROW][C]0.27[/C][C]3.88325201318702[/C][C]0.106207516549607[/C][/ROW]
[ROW][C]0.28[/C][C]3.90636332873023[/C][C]0.101344200919605[/C][/ROW]
[ROW][C]0.29[/C][C]3.92815111383597[/C][C]0.0973664741640481[/C][/ROW]
[ROW][C]0.3[/C][C]3.94883731490069[/C][C]0.0940326499219317[/C][/ROW]
[ROW][C]0.31[/C][C]3.96858996900367[/C][C]0.0911325178253276[/C][/ROW]
[ROW][C]0.32[/C][C]3.98753010947561[/C][C]0.0885092090948002[/C][/ROW]
[ROW][C]0.33[/C][C]4.00574282292303[/C][C]0.0860552402609954[/C][/ROW]
[ROW][C]0.34[/C][C]4.02329016632083[/C][C]0.0837016541460808[/C][/ROW]
[ROW][C]0.35[/C][C]4.04022491319935[/C][C]0.0814433643667845[/C][/ROW]
[ROW][C]0.36[/C][C]4.05660456471644[/C][C]0.0793486090838974[/C][/ROW]
[ROW][C]0.37[/C][C]4.07250478817962[/C][C]0.0775497665494313[/C][/ROW]
[ROW][C]0.38[/C][C]4.08803084016869[/C][C]0.0762624253162333[/C][/ROW]
[ROW][C]0.39[/C][C]4.1033250887972[/C][C]0.0757618837960114[/C][/ROW]
[ROW][C]0.4[/C][C]4.11856882369834[/C][C]0.0763055066922755[/C][/ROW]
[ROW][C]0.41[/C][C]4.13397722999375[/C][C]0.0780995463743636[/C][/ROW]
[ROW][C]0.42[/C][C]4.14978755122191[/C][C]0.0812697091288449[/C][/ROW]
[ROW][C]0.43[/C][C]4.16624176729683[/C][C]0.0857666491584264[/C][/ROW]
[ROW][C]0.44[/C][C]4.18356622579021[/C][C]0.0914155739712898[/C][/ROW]
[ROW][C]0.45[/C][C]4.2019513189251[/C][C]0.0979393644509734[/C][/ROW]
[ROW][C]0.46[/C][C]4.22153435624627[/C][C]0.104962821320561[/C][/ROW]
[ROW][C]0.47[/C][C]4.24238824712985[/C][C]0.112086156695175[/C][/ROW]
[ROW][C]0.48[/C][C]4.2645175993033[/C][C]0.118934973724528[/C][/ROW]
[ROW][C]0.49[/C][C]4.28786255981305[/C][C]0.12515705963207[/C][/ROW]
[ROW][C]0.5[/C][C]4.31230941285075[/C][C]0.130522984355437[/C][/ROW]
[ROW][C]0.51[/C][C]4.33770584609553[/C][C]0.134879231617391[/C][/ROW]
[ROW][C]0.52[/C][C]4.36387811213899[/C][C]0.138186316689569[/C][/ROW]
[ROW][C]0.53[/C][C]4.39064718339488[/C][C]0.140482594174083[/C][/ROW]
[ROW][C]0.54[/C][C]4.41784146414351[/C][C]0.14187705665482[/C][/ROW]
[ROW][C]0.55[/C][C]4.44530459395022[/C][C]0.142493798158792[/C][/ROW]
[ROW][C]0.56[/C][C]4.47289814253906[/C][C]0.142438375860713[/C][/ROW]
[ROW][C]0.57[/C][C]4.50050026035025[/C][C]0.141808022806809[/C][/ROW]
[ROW][C]0.58[/C][C]4.52800229356995[/C][C]0.140638517849046[/C][/ROW]
[ROW][C]0.59[/C][C]4.55530574120295[/C][C]0.138959730346731[/C][/ROW]
[ROW][C]0.6[/C][C]4.58232160712433[/C][C]0.13678111981701[/C][/ROW]
[ROW][C]0.61[/C][C]4.608973249828[/C][C]0.134146805077452[/C][/ROW]
[ROW][C]0.62[/C][C]4.6352025090837[/C][C]0.131149408334374[/C][/ROW]
[ROW][C]0.63[/C][C]4.66097757347954[/C][C]0.127945407912255[/C][/ROW]
[ROW][C]0.64[/C][C]4.68630015563023[/C][C]0.124725375980232[/C][/ROW]
[ROW][C]0.65[/C][C]4.71120937683603[/C][C]0.121733280838676[/C][/ROW]
[ROW][C]0.66[/C][C]4.73578043718314[/C][C]0.119172435119804[/C][/ROW]
[ROW][C]0.67[/C][C]4.76011750080538[/C][C]0.11720656116384[/C][/ROW]
[ROW][C]0.68[/C][C]4.78434185769983[/C][C]0.115893095915206[/C][/ROW]
[ROW][C]0.69[/C][C]4.8085778076211[/C][C]0.115185014065561[/C][/ROW]
[ROW][C]0.7[/C][C]4.83293938294105[/C][C]0.114959677680194[/C][/ROW]
[ROW][C]0.71[/C][C]4.85752076770564[/C][C]0.1150613980411[/C][/ROW]
[ROW][C]0.72[/C][C]4.88239221570741[/C][C]0.11531279383903[/C][/ROW]
[ROW][C]0.73[/C][C]4.90760187563425[/C][C]0.115593480311968[/C][/ROW]
[ROW][C]0.74[/C][C]4.93318277900592[/C][C]0.115824577030886[/C][/ROW]
[ROW][C]0.75[/C][C]4.95916376964075[/C][C]0.116013284331476[/C][/ROW]
[ROW][C]0.76[/C][C]4.98558339208827[/C][C]0.11618549629272[/C][/ROW]
[ROW][C]0.77[/C][C]5.0125062805733[/C][C]0.11645681257328[/C][/ROW]
[ROW][C]0.78[/C][C]5.04004165697689[/C][C]0.116988050805447[/C][/ROW]
[ROW][C]0.79[/C][C]5.06836246484648[/C][C]0.118027453429597[/C][/ROW]
[ROW][C]0.8[/C][C]5.09772123692885[/C][C]0.119890729466588[/C][/ROW]
[ROW][C]0.81[/C][C]5.12845564910673[/C][C]0.122932363218631[/C][/ROW]
[ROW][C]0.82[/C][C]5.16097438880763[/C][C]0.127435268420613[/C][/ROW]
[ROW][C]0.83[/C][C]5.19571456910918[/C][C]0.133439965683753[/C][/ROW]
[ROW][C]0.84[/C][C]5.23306733802867[/C][C]0.140632632232487[/C][/ROW]
[ROW][C]0.85[/C][C]5.27327902223646[/C][C]0.148211455874368[/C][/ROW]
[ROW][C]0.86[/C][C]5.31634882548779[/C][C]0.154970631756785[/C][/ROW]
[ROW][C]0.87[/C][C]5.36195517476604[/C][C]0.159505576476519[/C][/ROW]
[ROW][C]0.88[/C][C]5.40944391364918[/C][C]0.160551195316566[/C][/ROW]
[ROW][C]0.89[/C][C]5.45789877690419[/C][C]0.157349980160969[/C][/ROW]
[ROW][C]0.9[/C][C]5.50629605848979[/C][C]0.149887595546013[/C][/ROW]
[ROW][C]0.91[/C][C]5.55374747358267[/C][C]0.138949205093058[/C][/ROW]
[ROW][C]0.92[/C][C]5.59989180901244[/C][C]0.126033162723921[/C][/ROW]
[ROW][C]0.93[/C][C]5.64560172229299[/C][C]0.113644027185728[/C][/ROW]
[ROW][C]0.94[/C][C]5.6942038676505[/C][C]0.106842358889755[/C][/ROW]
[ROW][C]0.95[/C][C]5.75309421425554[/C][C]0.115757108202403[/C][/ROW]
[ROW][C]0.96[/C][C]5.83467149342715[/C][C]0.151102372070172[/C][/ROW]
[ROW][C]0.97[/C][C]5.95379201182878[/C][C]0.208821473171684[/C][/ROW]
[ROW][C]0.98[/C][C]6.11676477140919[/C][C]0.266046119008272[/C][/ROW]
[ROW][C]0.99[/C][C]6.29828290494898[/C][C]0.301900213625792[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=163423&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=163423&T=1

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


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

Harrell-Davis Quantiles
quantilesvaluestandard error
0.012.759796364508470.0689668044297233
0.022.81195995874360.102603098044104
0.032.874060503586040.11060396351169
0.042.93457972829190.107381453119923
0.052.989633000380220.108223504012613
0.063.040184220485180.114177214853866
0.073.088195826568140.120718861700476
0.083.134831110408270.125669248427777
0.093.180448306598940.129409109228331
0.13.225137472831660.133015621658622
0.113.269068852034560.137256745914658
0.123.312554194510640.142484580709998
0.133.355963304808280.148756659389327
0.143.399613314240380.155774787589243
0.153.443675031473690.162823928968318
0.163.48810865083790.168840390332371
0.173.532640080126950.172724058498114
0.183.57678841776780.173609889193197
0.193.619942815415770.171139751990291
0.23.661469922718950.165512328723353
0.213.700822537628350.157410930927018
0.223.737621444393450.147812165262686
0.233.771693689336560.137749463841725
0.243.803065542560330.128113117520426
0.253.831920917652910.119503042161764
0.263.858542422488670.11220268255903
0.273.883252013187020.106207516549607
0.283.906363328730230.101344200919605
0.293.928151113835970.0973664741640481
0.33.948837314900690.0940326499219317
0.313.968589969003670.0911325178253276
0.323.987530109475610.0885092090948002
0.334.005742822923030.0860552402609954
0.344.023290166320830.0837016541460808
0.354.040224913199350.0814433643667845
0.364.056604564716440.0793486090838974
0.374.072504788179620.0775497665494313
0.384.088030840168690.0762624253162333
0.394.10332508879720.0757618837960114
0.44.118568823698340.0763055066922755
0.414.133977229993750.0780995463743636
0.424.149787551221910.0812697091288449
0.434.166241767296830.0857666491584264
0.444.183566225790210.0914155739712898
0.454.20195131892510.0979393644509734
0.464.221534356246270.104962821320561
0.474.242388247129850.112086156695175
0.484.26451759930330.118934973724528
0.494.287862559813050.12515705963207
0.54.312309412850750.130522984355437
0.514.337705846095530.134879231617391
0.524.363878112138990.138186316689569
0.534.390647183394880.140482594174083
0.544.417841464143510.14187705665482
0.554.445304593950220.142493798158792
0.564.472898142539060.142438375860713
0.574.500500260350250.141808022806809
0.584.528002293569950.140638517849046
0.594.555305741202950.138959730346731
0.64.582321607124330.13678111981701
0.614.6089732498280.134146805077452
0.624.63520250908370.131149408334374
0.634.660977573479540.127945407912255
0.644.686300155630230.124725375980232
0.654.711209376836030.121733280838676
0.664.735780437183140.119172435119804
0.674.760117500805380.11720656116384
0.684.784341857699830.115893095915206
0.694.80857780762110.115185014065561
0.74.832939382941050.114959677680194
0.714.857520767705640.1150613980411
0.724.882392215707410.11531279383903
0.734.907601875634250.115593480311968
0.744.933182779005920.115824577030886
0.754.959163769640750.116013284331476
0.764.985583392088270.11618549629272
0.775.01250628057330.11645681257328
0.785.040041656976890.116988050805447
0.795.068362464846480.118027453429597
0.85.097721236928850.119890729466588
0.815.128455649106730.122932363218631
0.825.160974388807630.127435268420613
0.835.195714569109180.133439965683753
0.845.233067338028670.140632632232487
0.855.273279022236460.148211455874368
0.865.316348825487790.154970631756785
0.875.361955174766040.159505576476519
0.885.409443913649180.160551195316566
0.895.457898776904190.157349980160969
0.95.506296058489790.149887595546013
0.915.553747473582670.138949205093058
0.925.599891809012440.126033162723921
0.935.645601722292990.113644027185728
0.945.69420386765050.106842358889755
0.955.753094214255540.115757108202403
0.965.834671493427150.151102372070172
0.975.953792011828780.208821473171684
0.986.116764771409190.266046119008272
0.996.298282904948980.301900213625792


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')