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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, 14 Jan 2013 18:30:34 -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/2013/Jan/14/t135820624447j7gbyiarftxtc.htm/, Retrieved Sun, 28 Apr 2024 04:45:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205391, Retrieved Sun, 28 Apr 2024 04:45:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

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] [] [2012-10-15 08:39:06] [9b490dd2ab715f1b5bf65aa31d98df3d]
- R P     [Harrell-Davis Quantiles] [] [2013-01-14 23:30:34] [38a0db91cd47487c7649642dcb33e029] [Current]
- R         [Harrell-Davis Quantiles] [] [2013-01-14 23:34:40] [9b490dd2ab715f1b5bf65aa31d98df3d]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
435
431
434
439
455
452
426
428
433
438
442
446
442
436
444
454
469
471
443
437
444
451
457
460
454
439
441
446
459
456
433
424
430
428
424
419
409
397
397
401
413
413
390
385
397
398
406
412
409
404
412
418
434
431
406
416
424
427
438
444
442
443
453
471
476
476
461
462
460
463
467
468
465
459
465
471
472
472
456
455
456
462
463
461

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gertrude Mary Cox' @ cox.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 & 2 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205391&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]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205391&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205391&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 time2 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.01387.220998808695.04033964979907
0.02390.4784107088644.76112959282293
0.03393.450891743.85493584288831
0.04395.6961886480913.00424967153902
0.05397.3753117167732.83031542265205
0.06398.7975810987743.21326299111421
0.07400.1826439072453.71731329066174
0.08401.6129281779664.08699899689297
0.09403.0775390706214.25518695690656
0.1404.5315453528914.26211658306409
0.11405.9354928890634.18514524625934
0.12407.2706398588874.09744779890066
0.13408.538487678364.04799493579968
0.14409.7540916819514.0636009550293
0.15410.9388836764064.15586283432069
0.16412.1150277347874.32144676407894
0.17413.3013486671474.54360101440767
0.18414.5104584677114.79158394120907
0.19415.7470120824475.0270969039849
0.2417.0073030984615.2134355898153
0.21418.2803442522245.32236987874338
0.22419.5502373575945.33982808913063
0.23420.7992675904115.26797993854202
0.24422.0109717526175.12102719576353
0.25423.1725059921594.92258936779021
0.26424.2759165158914.69886388392663
0.27425.3182660921814.47121182338308
0.28426.3008606906234.25811137794671
0.29427.227977046244.0682376069847
0.3428.1055008783293.90450301006887
0.31428.9397846161993.76517246917753
0.32429.7368827672723.64667302529444
0.33430.5021788107473.54509799003515
0.34431.2403164899213.45838475623109
0.35431.9553036432683.38387522724862
0.36432.6506618726383.32242963335327
0.37433.329532857443.2721396310292
0.38433.9947016626053.23358055756714
0.39434.6485420927023.20359675656988
0.4435.2929189507113.17972721107689
0.41435.9290942496673.15869521241673
0.42436.5576819908493.13666252398408
0.43437.1786848712023.11066024085152
0.44437.7916317967963.07863969306958
0.45438.3958205922353.03952214064624
0.46438.9906561665362.99441093796906
0.47439.5760591849392.94728907788007
0.48440.1529027885092.9034408392404
0.49440.7234160370072.87130171674133
0.5441.2914765033272.86139379963614
0.51441.8627072192552.88451201145603
0.52442.4443018191382.9509172180545
0.53443.0445309119853.06520343421721
0.54443.6719324327523.22789061436374
0.55444.3342528543613.43137958542771
0.56445.037272572023.66060755319117
0.57445.7837014107983.89545535634047
0.58446.572352699784.11117143138274
0.59447.3977847916284.2845636991602
0.6448.2505342809844.39433724865552
0.61449.1179640326274.42632529029814
0.62449.9856310460324.37500478010528
0.63450.8389706346484.24458599741646
0.64451.6650209019084.04792963274925
0.65452.4538940950563.80608797759331
0.66453.1997450878213.5423557438914
0.67453.9010831479383.28137000476725
0.68454.5604002142573.04468713156894
0.69455.1832195664282.84691598377718
0.7455.7767757157072.69354272313611
0.71456.3485983642592.58254084832489
0.72456.9052790257122.50395958716049
0.73457.4516485478272.44503069215699
0.74457.9904988642342.39255858702476
0.75458.5228637620432.33688881143409
0.76459.048757543012.27400837678432
0.77459.5681825792092.20556532796206
0.78460.0821744469852.13820103388169
0.79460.5936609565172.08223906871003
0.8461.107959470892.04871160710868
0.81461.6328066755442.04803013500841
0.82462.1778863690072.08623251887083
0.83462.7538795834522.16417939503633
0.84463.3711017465872.27528004279329
0.85464.0378165877352.40689782826468
0.86464.7583397635152.54009770930209
0.87465.5310986586072.65140421589027
0.88466.3469517890812.71434408250146
0.89467.1883402791912.70283586291273
0.9468.0302180438452.59611107516715
0.91468.8440119695892.38727468331841
0.92469.6057995024182.09309956645061
0.93470.3090951194371.76357319949087
0.94470.980287844861.48966899168672
0.95471.6885870034611.40606063785096
0.96472.5302897937441.61545770318714
0.97473.5597508866641.96653340944166
0.98474.675853757191.96004259790825
0.99475.5826946741661.13405080556426

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 387.22099880869 & 5.04033964979907 \tabularnewline
0.02 & 390.478410708864 & 4.76112959282293 \tabularnewline
0.03 & 393.45089174 & 3.85493584288831 \tabularnewline
0.04 & 395.696188648091 & 3.00424967153902 \tabularnewline
0.05 & 397.375311716773 & 2.83031542265205 \tabularnewline
0.06 & 398.797581098774 & 3.21326299111421 \tabularnewline
0.07 & 400.182643907245 & 3.71731329066174 \tabularnewline
0.08 & 401.612928177966 & 4.08699899689297 \tabularnewline
0.09 & 403.077539070621 & 4.25518695690656 \tabularnewline
0.1 & 404.531545352891 & 4.26211658306409 \tabularnewline
0.11 & 405.935492889063 & 4.18514524625934 \tabularnewline
0.12 & 407.270639858887 & 4.09744779890066 \tabularnewline
0.13 & 408.53848767836 & 4.04799493579968 \tabularnewline
0.14 & 409.754091681951 & 4.0636009550293 \tabularnewline
0.15 & 410.938883676406 & 4.15586283432069 \tabularnewline
0.16 & 412.115027734787 & 4.32144676407894 \tabularnewline
0.17 & 413.301348667147 & 4.54360101440767 \tabularnewline
0.18 & 414.510458467711 & 4.79158394120907 \tabularnewline
0.19 & 415.747012082447 & 5.0270969039849 \tabularnewline
0.2 & 417.007303098461 & 5.2134355898153 \tabularnewline
0.21 & 418.280344252224 & 5.32236987874338 \tabularnewline
0.22 & 419.550237357594 & 5.33982808913063 \tabularnewline
0.23 & 420.799267590411 & 5.26797993854202 \tabularnewline
0.24 & 422.010971752617 & 5.12102719576353 \tabularnewline
0.25 & 423.172505992159 & 4.92258936779021 \tabularnewline
0.26 & 424.275916515891 & 4.69886388392663 \tabularnewline
0.27 & 425.318266092181 & 4.47121182338308 \tabularnewline
0.28 & 426.300860690623 & 4.25811137794671 \tabularnewline
0.29 & 427.22797704624 & 4.0682376069847 \tabularnewline
0.3 & 428.105500878329 & 3.90450301006887 \tabularnewline
0.31 & 428.939784616199 & 3.76517246917753 \tabularnewline
0.32 & 429.736882767272 & 3.64667302529444 \tabularnewline
0.33 & 430.502178810747 & 3.54509799003515 \tabularnewline
0.34 & 431.240316489921 & 3.45838475623109 \tabularnewline
0.35 & 431.955303643268 & 3.38387522724862 \tabularnewline
0.36 & 432.650661872638 & 3.32242963335327 \tabularnewline
0.37 & 433.32953285744 & 3.2721396310292 \tabularnewline
0.38 & 433.994701662605 & 3.23358055756714 \tabularnewline
0.39 & 434.648542092702 & 3.20359675656988 \tabularnewline
0.4 & 435.292918950711 & 3.17972721107689 \tabularnewline
0.41 & 435.929094249667 & 3.15869521241673 \tabularnewline
0.42 & 436.557681990849 & 3.13666252398408 \tabularnewline
0.43 & 437.178684871202 & 3.11066024085152 \tabularnewline
0.44 & 437.791631796796 & 3.07863969306958 \tabularnewline
0.45 & 438.395820592235 & 3.03952214064624 \tabularnewline
0.46 & 438.990656166536 & 2.99441093796906 \tabularnewline
0.47 & 439.576059184939 & 2.94728907788007 \tabularnewline
0.48 & 440.152902788509 & 2.9034408392404 \tabularnewline
0.49 & 440.723416037007 & 2.87130171674133 \tabularnewline
0.5 & 441.291476503327 & 2.86139379963614 \tabularnewline
0.51 & 441.862707219255 & 2.88451201145603 \tabularnewline
0.52 & 442.444301819138 & 2.9509172180545 \tabularnewline
0.53 & 443.044530911985 & 3.06520343421721 \tabularnewline
0.54 & 443.671932432752 & 3.22789061436374 \tabularnewline
0.55 & 444.334252854361 & 3.43137958542771 \tabularnewline
0.56 & 445.03727257202 & 3.66060755319117 \tabularnewline
0.57 & 445.783701410798 & 3.89545535634047 \tabularnewline
0.58 & 446.57235269978 & 4.11117143138274 \tabularnewline
0.59 & 447.397784791628 & 4.2845636991602 \tabularnewline
0.6 & 448.250534280984 & 4.39433724865552 \tabularnewline
0.61 & 449.117964032627 & 4.42632529029814 \tabularnewline
0.62 & 449.985631046032 & 4.37500478010528 \tabularnewline
0.63 & 450.838970634648 & 4.24458599741646 \tabularnewline
0.64 & 451.665020901908 & 4.04792963274925 \tabularnewline
0.65 & 452.453894095056 & 3.80608797759331 \tabularnewline
0.66 & 453.199745087821 & 3.5423557438914 \tabularnewline
0.67 & 453.901083147938 & 3.28137000476725 \tabularnewline
0.68 & 454.560400214257 & 3.04468713156894 \tabularnewline
0.69 & 455.183219566428 & 2.84691598377718 \tabularnewline
0.7 & 455.776775715707 & 2.69354272313611 \tabularnewline
0.71 & 456.348598364259 & 2.58254084832489 \tabularnewline
0.72 & 456.905279025712 & 2.50395958716049 \tabularnewline
0.73 & 457.451648547827 & 2.44503069215699 \tabularnewline
0.74 & 457.990498864234 & 2.39255858702476 \tabularnewline
0.75 & 458.522863762043 & 2.33688881143409 \tabularnewline
0.76 & 459.04875754301 & 2.27400837678432 \tabularnewline
0.77 & 459.568182579209 & 2.20556532796206 \tabularnewline
0.78 & 460.082174446985 & 2.13820103388169 \tabularnewline
0.79 & 460.593660956517 & 2.08223906871003 \tabularnewline
0.8 & 461.10795947089 & 2.04871160710868 \tabularnewline
0.81 & 461.632806675544 & 2.04803013500841 \tabularnewline
0.82 & 462.177886369007 & 2.08623251887083 \tabularnewline
0.83 & 462.753879583452 & 2.16417939503633 \tabularnewline
0.84 & 463.371101746587 & 2.27528004279329 \tabularnewline
0.85 & 464.037816587735 & 2.40689782826468 \tabularnewline
0.86 & 464.758339763515 & 2.54009770930209 \tabularnewline
0.87 & 465.531098658607 & 2.65140421589027 \tabularnewline
0.88 & 466.346951789081 & 2.71434408250146 \tabularnewline
0.89 & 467.188340279191 & 2.70283586291273 \tabularnewline
0.9 & 468.030218043845 & 2.59611107516715 \tabularnewline
0.91 & 468.844011969589 & 2.38727468331841 \tabularnewline
0.92 & 469.605799502418 & 2.09309956645061 \tabularnewline
0.93 & 470.309095119437 & 1.76357319949087 \tabularnewline
0.94 & 470.98028784486 & 1.48966899168672 \tabularnewline
0.95 & 471.688587003461 & 1.40606063785096 \tabularnewline
0.96 & 472.530289793744 & 1.61545770318714 \tabularnewline
0.97 & 473.559750886664 & 1.96653340944166 \tabularnewline
0.98 & 474.67585375719 & 1.96004259790825 \tabularnewline
0.99 & 475.582694674166 & 1.13405080556426 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205391&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]387.22099880869[/C][C]5.04033964979907[/C][/ROW]
[ROW][C]0.02[/C][C]390.478410708864[/C][C]4.76112959282293[/C][/ROW]
[ROW][C]0.03[/C][C]393.45089174[/C][C]3.85493584288831[/C][/ROW]
[ROW][C]0.04[/C][C]395.696188648091[/C][C]3.00424967153902[/C][/ROW]
[ROW][C]0.05[/C][C]397.375311716773[/C][C]2.83031542265205[/C][/ROW]
[ROW][C]0.06[/C][C]398.797581098774[/C][C]3.21326299111421[/C][/ROW]
[ROW][C]0.07[/C][C]400.182643907245[/C][C]3.71731329066174[/C][/ROW]
[ROW][C]0.08[/C][C]401.612928177966[/C][C]4.08699899689297[/C][/ROW]
[ROW][C]0.09[/C][C]403.077539070621[/C][C]4.25518695690656[/C][/ROW]
[ROW][C]0.1[/C][C]404.531545352891[/C][C]4.26211658306409[/C][/ROW]
[ROW][C]0.11[/C][C]405.935492889063[/C][C]4.18514524625934[/C][/ROW]
[ROW][C]0.12[/C][C]407.270639858887[/C][C]4.09744779890066[/C][/ROW]
[ROW][C]0.13[/C][C]408.53848767836[/C][C]4.04799493579968[/C][/ROW]
[ROW][C]0.14[/C][C]409.754091681951[/C][C]4.0636009550293[/C][/ROW]
[ROW][C]0.15[/C][C]410.938883676406[/C][C]4.15586283432069[/C][/ROW]
[ROW][C]0.16[/C][C]412.115027734787[/C][C]4.32144676407894[/C][/ROW]
[ROW][C]0.17[/C][C]413.301348667147[/C][C]4.54360101440767[/C][/ROW]
[ROW][C]0.18[/C][C]414.510458467711[/C][C]4.79158394120907[/C][/ROW]
[ROW][C]0.19[/C][C]415.747012082447[/C][C]5.0270969039849[/C][/ROW]
[ROW][C]0.2[/C][C]417.007303098461[/C][C]5.2134355898153[/C][/ROW]
[ROW][C]0.21[/C][C]418.280344252224[/C][C]5.32236987874338[/C][/ROW]
[ROW][C]0.22[/C][C]419.550237357594[/C][C]5.33982808913063[/C][/ROW]
[ROW][C]0.23[/C][C]420.799267590411[/C][C]5.26797993854202[/C][/ROW]
[ROW][C]0.24[/C][C]422.010971752617[/C][C]5.12102719576353[/C][/ROW]
[ROW][C]0.25[/C][C]423.172505992159[/C][C]4.92258936779021[/C][/ROW]
[ROW][C]0.26[/C][C]424.275916515891[/C][C]4.69886388392663[/C][/ROW]
[ROW][C]0.27[/C][C]425.318266092181[/C][C]4.47121182338308[/C][/ROW]
[ROW][C]0.28[/C][C]426.300860690623[/C][C]4.25811137794671[/C][/ROW]
[ROW][C]0.29[/C][C]427.22797704624[/C][C]4.0682376069847[/C][/ROW]
[ROW][C]0.3[/C][C]428.105500878329[/C][C]3.90450301006887[/C][/ROW]
[ROW][C]0.31[/C][C]428.939784616199[/C][C]3.76517246917753[/C][/ROW]
[ROW][C]0.32[/C][C]429.736882767272[/C][C]3.64667302529444[/C][/ROW]
[ROW][C]0.33[/C][C]430.502178810747[/C][C]3.54509799003515[/C][/ROW]
[ROW][C]0.34[/C][C]431.240316489921[/C][C]3.45838475623109[/C][/ROW]
[ROW][C]0.35[/C][C]431.955303643268[/C][C]3.38387522724862[/C][/ROW]
[ROW][C]0.36[/C][C]432.650661872638[/C][C]3.32242963335327[/C][/ROW]
[ROW][C]0.37[/C][C]433.32953285744[/C][C]3.2721396310292[/C][/ROW]
[ROW][C]0.38[/C][C]433.994701662605[/C][C]3.23358055756714[/C][/ROW]
[ROW][C]0.39[/C][C]434.648542092702[/C][C]3.20359675656988[/C][/ROW]
[ROW][C]0.4[/C][C]435.292918950711[/C][C]3.17972721107689[/C][/ROW]
[ROW][C]0.41[/C][C]435.929094249667[/C][C]3.15869521241673[/C][/ROW]
[ROW][C]0.42[/C][C]436.557681990849[/C][C]3.13666252398408[/C][/ROW]
[ROW][C]0.43[/C][C]437.178684871202[/C][C]3.11066024085152[/C][/ROW]
[ROW][C]0.44[/C][C]437.791631796796[/C][C]3.07863969306958[/C][/ROW]
[ROW][C]0.45[/C][C]438.395820592235[/C][C]3.03952214064624[/C][/ROW]
[ROW][C]0.46[/C][C]438.990656166536[/C][C]2.99441093796906[/C][/ROW]
[ROW][C]0.47[/C][C]439.576059184939[/C][C]2.94728907788007[/C][/ROW]
[ROW][C]0.48[/C][C]440.152902788509[/C][C]2.9034408392404[/C][/ROW]
[ROW][C]0.49[/C][C]440.723416037007[/C][C]2.87130171674133[/C][/ROW]
[ROW][C]0.5[/C][C]441.291476503327[/C][C]2.86139379963614[/C][/ROW]
[ROW][C]0.51[/C][C]441.862707219255[/C][C]2.88451201145603[/C][/ROW]
[ROW][C]0.52[/C][C]442.444301819138[/C][C]2.9509172180545[/C][/ROW]
[ROW][C]0.53[/C][C]443.044530911985[/C][C]3.06520343421721[/C][/ROW]
[ROW][C]0.54[/C][C]443.671932432752[/C][C]3.22789061436374[/C][/ROW]
[ROW][C]0.55[/C][C]444.334252854361[/C][C]3.43137958542771[/C][/ROW]
[ROW][C]0.56[/C][C]445.03727257202[/C][C]3.66060755319117[/C][/ROW]
[ROW][C]0.57[/C][C]445.783701410798[/C][C]3.89545535634047[/C][/ROW]
[ROW][C]0.58[/C][C]446.57235269978[/C][C]4.11117143138274[/C][/ROW]
[ROW][C]0.59[/C][C]447.397784791628[/C][C]4.2845636991602[/C][/ROW]
[ROW][C]0.6[/C][C]448.250534280984[/C][C]4.39433724865552[/C][/ROW]
[ROW][C]0.61[/C][C]449.117964032627[/C][C]4.42632529029814[/C][/ROW]
[ROW][C]0.62[/C][C]449.985631046032[/C][C]4.37500478010528[/C][/ROW]
[ROW][C]0.63[/C][C]450.838970634648[/C][C]4.24458599741646[/C][/ROW]
[ROW][C]0.64[/C][C]451.665020901908[/C][C]4.04792963274925[/C][/ROW]
[ROW][C]0.65[/C][C]452.453894095056[/C][C]3.80608797759331[/C][/ROW]
[ROW][C]0.66[/C][C]453.199745087821[/C][C]3.5423557438914[/C][/ROW]
[ROW][C]0.67[/C][C]453.901083147938[/C][C]3.28137000476725[/C][/ROW]
[ROW][C]0.68[/C][C]454.560400214257[/C][C]3.04468713156894[/C][/ROW]
[ROW][C]0.69[/C][C]455.183219566428[/C][C]2.84691598377718[/C][/ROW]
[ROW][C]0.7[/C][C]455.776775715707[/C][C]2.69354272313611[/C][/ROW]
[ROW][C]0.71[/C][C]456.348598364259[/C][C]2.58254084832489[/C][/ROW]
[ROW][C]0.72[/C][C]456.905279025712[/C][C]2.50395958716049[/C][/ROW]
[ROW][C]0.73[/C][C]457.451648547827[/C][C]2.44503069215699[/C][/ROW]
[ROW][C]0.74[/C][C]457.990498864234[/C][C]2.39255858702476[/C][/ROW]
[ROW][C]0.75[/C][C]458.522863762043[/C][C]2.33688881143409[/C][/ROW]
[ROW][C]0.76[/C][C]459.04875754301[/C][C]2.27400837678432[/C][/ROW]
[ROW][C]0.77[/C][C]459.568182579209[/C][C]2.20556532796206[/C][/ROW]
[ROW][C]0.78[/C][C]460.082174446985[/C][C]2.13820103388169[/C][/ROW]
[ROW][C]0.79[/C][C]460.593660956517[/C][C]2.08223906871003[/C][/ROW]
[ROW][C]0.8[/C][C]461.10795947089[/C][C]2.04871160710868[/C][/ROW]
[ROW][C]0.81[/C][C]461.632806675544[/C][C]2.04803013500841[/C][/ROW]
[ROW][C]0.82[/C][C]462.177886369007[/C][C]2.08623251887083[/C][/ROW]
[ROW][C]0.83[/C][C]462.753879583452[/C][C]2.16417939503633[/C][/ROW]
[ROW][C]0.84[/C][C]463.371101746587[/C][C]2.27528004279329[/C][/ROW]
[ROW][C]0.85[/C][C]464.037816587735[/C][C]2.40689782826468[/C][/ROW]
[ROW][C]0.86[/C][C]464.758339763515[/C][C]2.54009770930209[/C][/ROW]
[ROW][C]0.87[/C][C]465.531098658607[/C][C]2.65140421589027[/C][/ROW]
[ROW][C]0.88[/C][C]466.346951789081[/C][C]2.71434408250146[/C][/ROW]
[ROW][C]0.89[/C][C]467.188340279191[/C][C]2.70283586291273[/C][/ROW]
[ROW][C]0.9[/C][C]468.030218043845[/C][C]2.59611107516715[/C][/ROW]
[ROW][C]0.91[/C][C]468.844011969589[/C][C]2.38727468331841[/C][/ROW]
[ROW][C]0.92[/C][C]469.605799502418[/C][C]2.09309956645061[/C][/ROW]
[ROW][C]0.93[/C][C]470.309095119437[/C][C]1.76357319949087[/C][/ROW]
[ROW][C]0.94[/C][C]470.98028784486[/C][C]1.48966899168672[/C][/ROW]
[ROW][C]0.95[/C][C]471.688587003461[/C][C]1.40606063785096[/C][/ROW]
[ROW][C]0.96[/C][C]472.530289793744[/C][C]1.61545770318714[/C][/ROW]
[ROW][C]0.97[/C][C]473.559750886664[/C][C]1.96653340944166[/C][/ROW]
[ROW][C]0.98[/C][C]474.67585375719[/C][C]1.96004259790825[/C][/ROW]
[ROW][C]0.99[/C][C]475.582694674166[/C][C]1.13405080556426[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205391&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205391&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
0.01387.220998808695.04033964979907
0.02390.4784107088644.76112959282293
0.03393.450891743.85493584288831
0.04395.6961886480913.00424967153902
0.05397.3753117167732.83031542265205
0.06398.7975810987743.21326299111421
0.07400.1826439072453.71731329066174
0.08401.6129281779664.08699899689297
0.09403.0775390706214.25518695690656
0.1404.5315453528914.26211658306409
0.11405.9354928890634.18514524625934
0.12407.2706398588874.09744779890066
0.13408.538487678364.04799493579968
0.14409.7540916819514.0636009550293
0.15410.9388836764064.15586283432069
0.16412.1150277347874.32144676407894
0.17413.3013486671474.54360101440767
0.18414.5104584677114.79158394120907
0.19415.7470120824475.0270969039849
0.2417.0073030984615.2134355898153
0.21418.2803442522245.32236987874338
0.22419.5502373575945.33982808913063
0.23420.7992675904115.26797993854202
0.24422.0109717526175.12102719576353
0.25423.1725059921594.92258936779021
0.26424.2759165158914.69886388392663
0.27425.3182660921814.47121182338308
0.28426.3008606906234.25811137794671
0.29427.227977046244.0682376069847
0.3428.1055008783293.90450301006887
0.31428.9397846161993.76517246917753
0.32429.7368827672723.64667302529444
0.33430.5021788107473.54509799003515
0.34431.2403164899213.45838475623109
0.35431.9553036432683.38387522724862
0.36432.6506618726383.32242963335327
0.37433.329532857443.2721396310292
0.38433.9947016626053.23358055756714
0.39434.6485420927023.20359675656988
0.4435.2929189507113.17972721107689
0.41435.9290942496673.15869521241673
0.42436.5576819908493.13666252398408
0.43437.1786848712023.11066024085152
0.44437.7916317967963.07863969306958
0.45438.3958205922353.03952214064624
0.46438.9906561665362.99441093796906
0.47439.5760591849392.94728907788007
0.48440.1529027885092.9034408392404
0.49440.7234160370072.87130171674133
0.5441.2914765033272.86139379963614
0.51441.8627072192552.88451201145603
0.52442.4443018191382.9509172180545
0.53443.0445309119853.06520343421721
0.54443.6719324327523.22789061436374
0.55444.3342528543613.43137958542771
0.56445.037272572023.66060755319117
0.57445.7837014107983.89545535634047
0.58446.572352699784.11117143138274
0.59447.3977847916284.2845636991602
0.6448.2505342809844.39433724865552
0.61449.1179640326274.42632529029814
0.62449.9856310460324.37500478010528
0.63450.8389706346484.24458599741646
0.64451.6650209019084.04792963274925
0.65452.4538940950563.80608797759331
0.66453.1997450878213.5423557438914
0.67453.9010831479383.28137000476725
0.68454.5604002142573.04468713156894
0.69455.1832195664282.84691598377718
0.7455.7767757157072.69354272313611
0.71456.3485983642592.58254084832489
0.72456.9052790257122.50395958716049
0.73457.4516485478272.44503069215699
0.74457.9904988642342.39255858702476
0.75458.5228637620432.33688881143409
0.76459.048757543012.27400837678432
0.77459.5681825792092.20556532796206
0.78460.0821744469852.13820103388169
0.79460.5936609565172.08223906871003
0.8461.107959470892.04871160710868
0.81461.6328066755442.04803013500841
0.82462.1778863690072.08623251887083
0.83462.7538795834522.16417939503633
0.84463.3711017465872.27528004279329
0.85464.0378165877352.40689782826468
0.86464.7583397635152.54009770930209
0.87465.5310986586072.65140421589027
0.88466.3469517890812.71434408250146
0.89467.1883402791912.70283586291273
0.9468.0302180438452.59611107516715
0.91468.8440119695892.38727468331841
0.92469.6057995024182.09309956645061
0.93470.3090951194371.76357319949087
0.94470.980287844861.48966899168672
0.95471.6885870034611.40606063785096
0.96472.5302897937441.61545770318714
0.97473.5597508866641.96653340944166
0.98474.675853757191.96004259790825
0.99475.5826946741661.13405080556426


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0,1 ; par2 = 0.9 ; par3 = 0.1 ;
Parameters (R input):
par1 = 0,1 ; par2 = 0.9 ; par3 = 0.1 ;
R code (references can be found in the software module):
par3 <- '0.01'
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')