Harrell-Davis Quantiles | quantiles | value | standard error | 0.01 | 455.906384947517 | 2.50113766951018 | 0.015 | 456.751359496088 | 3.60589080877304 | 0.02 | 457.836196936552 | 4.66500604533476 | 0.025 | 459.118332784037 | 5.54452679016996 | 0.03 | 460.545316859498 | 6.18299841526155 | 0.035 | 462.063946527874 | 6.58293437016337 | 0.04 | 463.627744991292 | 6.7957794493537 | 0.045 | 465.202007627555 | 6.90411956771786 | 0.05 | 466.76611507695 | 7.0030669078616 | 0.055 | 468.313292169814 | 7.18072231751596 | 0.06 | 469.84836156225 | 7.50020286907201 | 0.065 | 471.384237212132 | 7.98704230417064 | 0.07 | 472.937925982519 | 8.62840838849912 | 0.075 | 474.526698133234 | 9.38476676579484 | 0.08 | 476.164906460231 | 10.1998915835462 | 0.085 | 477.861731583908 | 11.0145930503231 | 0.09 | 479.61994512714 | 11.7721917984559 | 0.095 | 481.435634940414 | 12.4249271344283 | 0.1 | 483.298735372286 | 12.9332966145362 | 0.105 | 485.194149740122 | 13.272740962889 | 0.11 | 487.103235036237 | 13.4289254564529 | 0.115 | 489.005431425336 | 13.4018194593442 | 0.12 | 490.879851695954 | 13.1999986519479 | 0.125 | 492.706689705118 | 12.8426453977637 | 0.13 | 494.468354563246 | 12.3541419617543 | 0.135 | 496.150283058749 | 11.7635273701812 | 0.14 | 497.741422538417 | 11.1009257219513 | 0.145 | 499.234407681238 | 10.3961772280179 | 0.15 | 500.625476313575 | 9.67700164637277 | 0.155 | 501.914181790059 | 8.96841629783032 | 0.16 | 503.102963580985 | 8.28997097081101 | 0.165 | 504.196635214486 | 7.65810341677219 | 0.17 | 505.201841538449 | 7.08534782684524 | 0.175 | 506.126527306726 | 6.57945926299801 | 0.18 | 506.979448056718 | 6.14553775692897 | 0.185 | 507.769743482662 | 5.78365541609603 | 0.19 | 508.506583965269 | 5.49451586563756 | 0.195 | 509.198893136143 | 5.27492005572469 | 0.2 | 509.855143529542 | 5.11943877783453 | 0.205 | 510.483218433722 | 5.02325628059026 | 0.21 | 511.090330754487 | 4.97971206779866 | 0.215 | 511.682988711563 | 4.98407655766914 | 0.22 | 512.266998152248 | 5.0294293826022 | 0.225 | 512.847491865175 | 5.11015139899004 | 0.23 | 513.428977247676 | 5.22193988693763 | 0.235 | 514.015394829288 | 5.36206375650374 | 0.24 | 514.610181353683 | 5.52631854932663 | 0.245 | 515.216332297635 | 5.71124162115589 | 0.25 | 515.836459823441 | 5.91636689016525 | 0.255 | 516.472843209081 | 6.13932232131486 | 0.26 | 517.127469777269 | 6.37875507628554 | 0.265 | 517.802065251032 | 6.63293814575699 | 0.27 | 518.498113296038 | 6.90060651278851 | 0.275 | 519.216864758886 | 7.18001027968083 | 0.28 | 519.959337761233 | 7.46949050902282 | 0.285 | 520.726310343921 | 7.76683445047855 | 0.29 | 521.518307755598 | 8.06846561499438 | 0.295 | 522.335586732428 | 8.3720120462948 | 0.3 | 523.178119211397 | 8.67513291933488 | 0.305 | 524.045577859387 | 8.9731016227334 | 0.31 | 524.937325592776 | 9.26244021220257 | 0.315 | 525.852410925635 | 9.53993172837293 | 0.32 | 526.789570544260 | 9.80083179131308 | 0.325 | 527.747239993645 | 10.0429327895429 | 0.33 | 528.723572812829 | 10.2624242331322 | 0.335 | 529.716467907669 | 10.4564009036609 | 0.34 | 530.723604436508 | 10.6223199663484 | 0.345 | 531.74248303793 | 10.7585430124783 | 0.35 | 532.770471875698 | 10.8643925801965 | 0.355 | 533.804855732021 | 10.9387770003585 | 0.36 | 534.842886256095 | 10.9818111480377 | 0.365 | 535.881831471266 | 10.9945010486107 | 0.37 | 536.91902275375 | 10.9760993885095 | 0.375 | 537.951897703952 | 10.9300970243103 | 0.38 | 538.97803761756 | 10.8582689107815 | 0.385 | 539.99519860341 | 10.7626650817584 | 0.39 | 541.001335762415 | 10.6453502377937 | 0.395 | 541.994620210757 | 10.5091943141103 | 0.4 | 542.973449077351 | 10.3566037913064 | 0.405 | 543.936448910365 | 10.1902214228740 | 0.41 | 544.882473175541 | 10.0130896041528 | 0.415 | 545.810594710767 | 9.82729919741785 | 0.42 | 546.720094113515 | 9.63482763057356 | 0.425 | 547.610445082132 | 9.4362613235489 | 0.43 | 548.48129771514 | 9.23536756945958 | 0.435 | 549.332460704652 | 9.03310365810616 | 0.44 | 550.163883252955 | 8.83031246245417 | 0.445 | 550.975637408319 | 8.62784756020991 | 0.45 | 551.767901370013 | 8.42700951427071 | 0.455 | 552.540944164737 | 8.22937076272163 | 0.46 | 553.29511195667 | 8.03490747456285 | 0.465 | 554.030816127974 | 7.8441102868697 | 0.47 | 554.748523160289 | 7.6571229235569 | 0.475 | 555.448746262469 | 7.47573870741391 | 0.48 | 556.13203862549 | 7.2993323044244 | 0.485 | 556.798988140702 | 7.12808736823365 | 0.49 | 557.450213389805 | 6.96243947694221 | 0.495 | 558.08636070144 | 6.80352471974647 | 0.5 | 558.708102067215 | 6.65045105147674 | 0.505 | 559.316133716848 | 6.50531194088067 | 0.51 | 559.911175165979 | 6.36663874166031 | 0.515 | 560.493968569478 | 6.23505775783439 | 0.52 | 561.0652782365 | 6.11073043264756 | 0.525 | 561.625890190217 | 5.99520794820694 | 0.53 | 562.176611683715 | 5.8866948676271 | 0.535 | 562.718270612884 | 5.78718248225209 | 0.54 | 563.251714795299 | 5.69677129625563 | 0.545 | 563.777811109147 | 5.61444847923211 | 0.55 | 564.297444505859 | 5.5413328182131 | 0.555 | 564.811516921811 | 5.47823639355115 | 0.56 | 565.32094611631 | 5.42450686373905 | 0.565 | 565.826664453309 | 5.37997354574571 | 0.57 | 566.329617622643 | 5.3457210488908 | 0.575 | 566.830763263178 | 5.32047910834964 | 0.58 | 567.331069407477 | 5.30548242613593 | 0.585 | 567.831512618377 | 5.30084663987891 | 0.59 | 568.333075637025 | 5.30587509174068 | 0.595 | 568.836744314941 | 5.32030983778444 | 0.6 | 569.343503565715 | 5.34470175436944 | 0.605 | 569.854332051144 | 5.37869532571654 | 0.61 | 570.370195317757 | 5.42298443951648 | 0.615 | 570.892037127039 | 5.47602892560471 | 0.62 | 571.420768779289 | 5.53803520615627 | 0.625 | 571.957256317433 | 5.60873145249937 | 0.63 | 572.502305611688 | 5.68723119057024 | 0.635 | 573.056645464451 | 5.7732562729036 | 0.64 | 573.620909030718 | 5.8648339294594 | 0.645 | 574.19561401405 | 5.96198098118375 | 0.65 | 574.781142261626 | 6.06162196999987 | 0.655 | 575.377719533371 | 6.16305348882827 | 0.66 | 575.985396348573 | 6.26396720615111 | 0.665 | 576.604030908853 | 6.36269312603324 | 0.67 | 577.233275150352 | 6.45589353027285 | 0.675 | 577.872564984557 | 6.54244138696316 | 0.68 | 578.521115743237 | 6.61874347718774 | 0.685 | 579.177923748755 | 6.68291560851315 | 0.69 | 579.841774790041 | 6.73335901703312 | 0.695 | 580.511260103492 | 6.76655364563198 | 0.7 | 581.184800245855 | 6.78209904023505 | 0.705 | 581.860677013196 | 6.77727742003508 | 0.71 | 582.537073316774 | 6.75168992470656 | 0.715 | 583.212120682083 | 6.704592561673 | 0.72 | 583.883953797571 | 6.63685693022578 | 0.725 | 584.550771306474 | 6.54808771098269 | 0.73 | 585.210901805602 | 6.44023218637951 | 0.735 | 585.862873780289 | 6.3145314765432 | 0.74 | 586.505487952307 | 6.17445228827248 | 0.745 | 587.137890232481 | 6.02265613981847 | 0.75 | 587.759643138281 | 5.86273772433522 | 0.755 | 588.370793151289 | 5.70011139279034 | 0.76 | 588.97193105371 | 5.5398983139206 | 0.765 | 589.564241818054 | 5.38717882785655 | 0.77 | 590.14954017241 | 5.24915442472902 | 0.775 | 590.730287593165 | 5.13143832353345 | 0.78 | 591.309586279409 | 5.04133678700111 | 0.785 | 591.891145749981 | 4.98574373672329 | 0.79 | 592.479218194822 | 4.97048359412656 | 0.795 | 593.078499718692 | 5.00156735939519 | 0.8 | 593.693996219224 | 5.08158377263773 | 0.805 | 594.330854869328 | 5.21232959065506 | 0.81 | 594.994164972593 | 5.39285373726736 | 0.815 | 595.688735175033 | 5.6184952876539 | 0.82 | 596.418857381521 | 5.88285807571911 | 0.825 | 597.188070868991 | 6.17679900810367 | 0.83 | 597.998942560235 | 6.48870905367917 | 0.835 | 598.852880741437 | 6.8052922917785 | 0.84 | 599.749999235783 | 7.11315130434391 | 0.845 | 600.689046876741 | 7.3989182166976 | 0.85 | 601.667412971831 | 7.64828221458496 | 0.855 | 602.681213522579 | 7.85030019810775 | 0.86 | 603.725455819751 | 7.99489592215767 | 0.865 | 604.794271537174 | 8.07621271155963 | 0.87 | 605.88120170373 | 8.09029180087598 | 0.875 | 606.979512098169 | 8.03794302992557 | 0.88 | 608.08251565383 | 7.92268284590387 | 0.885 | 609.183879883807 | 7.75110905158296 | 0.89 | 610.277901926581 | 7.5317188420491 | 0.895 | 611.359740485384 | 7.27432217266155 | 0.9 | 612.425600782249 | 6.98947497661642 | 0.905 | 613.472873235645 | 6.68657365304409 | 0.91 | 614.500226531971 | 6.37467455488018 | 0.915 | 615.5076496288 | 6.06143030231043 | 0.92 | 616.496425356427 | 5.75445809890236 | 0.925 | 617.46900358996 | 5.46061275639953 | 0.93 | 618.428730119925 | 5.18734497699821 | 0.935 | 619.379386039587 | 4.9407455940809 | 0.94 | 620.324509410546 | 4.72482897672687 | 0.945 | 621.266510709757 | 4.53771843264635 | 0.95 | 622.205653589398 | 4.36957903395938 | 0.955 | 623.139040034346 | 4.20065561931014 | 0.96 | 624.05979085697 | 4.00427601980228 | 0.965 | 624.956620599965 | 3.75159147895517 | 0.97 | 625.81395122941 | 3.42006498792815 | 0.975 | 626.612601857012 | 3.00234262870746 | 0.98 | 627.330990327726 | 2.51329540820735 | 0.985 | 627.946788847894 | 1.99590204435828 | 0.99 | 628.439180654492 | 1.52027472358556 |
| Charts produced by software: | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/23/t1195814809zp05ihcztacuiv7/1bv2o1195815254.png (open in new window) | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Nov/23/t1195814809zp05ihcztacuiv7/1bv2o1195815254.ps (open in new window) |
| | Parameters: | par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ; | | 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')
| |
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