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tijdreeks 1 - stap 11

*Unverified author*
R Software Module: /rwasp_harrell_davis.wasp (opens new window with default values)
Title produced by software: Harrell-Davis Quantiles
Date of computation: Tue, 20 Jul 2010 10:13:40 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Jul/20/t1279620813e6gsgmpw5yj5g1c.htm/, Retrieved Tue, 20 Jul 2010 12:13:35 +0200
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2010/Jul/20/t1279620813e6gsgmpw5yj5g1c.htm/},
    year = {2010},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2010},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
Vanhille Olivier
 
Dataseries X:
» Textbox « » Textfile « » CSV «
568 567 566 564 584 583 568 558 559 559 560 562 563 552 552 555 575 567 548 541 544 546 551 550 546 532 523 528 555 543 525 517 519 521 520 516 509 494 484 482 508 500 480 467 471 482 481 477 471 455 441 434 459 448 432 414 415 423 425 427 415 399 386 377 397 379 361 350 348 363 367 365 354 327 312 307 335 317 298 286 288 303 310 301 293 264 255 251 279 253 233 226 232 245 250 242 230 196 188 181 212 186 166 155 157 173 182 182 168 131 114 106 134 103 83 74 83 96 95 100
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Harrell-Davis Quantiles
quantilesvaluestandard error
0.0179.02978100877926.65108074718832
0.0285.52938249892167.14005775383118
0.0391.62591162923298.40950768008144
0.0497.6033929176569.91241632295133
0.05103.98108041373512.9173580940295
0.06111.31772694479516.9426823415596
0.07119.83747724080720.6270796128186
0.08129.25158077226722.8963654153867
0.09138.94656582680123.3988498758323
0.1148.29573867380022.467981653259
0.11156.88671425948020.8212788338565
0.12164.59948142749619.231736559243
0.13171.56457197480518.2974303698044
0.14178.06113540806118.3174571639357
0.15184.40422171344619.2464237495515
0.16190.85073021571220.7455764984996
0.17197.54033370327722.3367771152022
0.18204.47964208811823.5791892922416
0.19211.56827530333424.2066632250169
0.2218.65357228891124.1877256058782
0.21225.59197129524223.7021005070588
0.22232.29516250757923.0479500945863
0.23238.74801882415922.5221266311630
0.24244.99796501209022.3170704718966
0.25251.12568371706822.4719041587601
0.26257.21133626751822.8865226456476
0.27263.30879234810923.3878169039391
0.28269.43493770853823.807233747304
0.29275.57467208729524.0438820041140
0.3281.69688646165124.0864621263131
0.31287.77383925662324.0139868523831
0.32293.79638336191923.9544759279167
0.33299.78002393093924.0340311584505
0.34305.76068922295924.3281148740242
0.35311.78290139480624.8328273092346
0.36317.8854369271925.4735302365189
0.37324.08988041341626.1355697757603
0.38330.39582087423126.7077073949804
0.39336.78362116447327.1151045950428
0.4343.22284513438927.3432221031385
0.41349.6825901012227.4269355666704
0.42356.13971903652827.4306899813281
0.43362.58226045518827.4194495747795
0.44369.00742276153127.4280751145068
0.45375.41584149789827.4511645143558
0.46381.80500703008827.4456420320823
0.47388.16486231622727.3587062790883
0.48394.47740349912127.1467212554152
0.49400.72030530682226.7998746748880
0.5406.87288626085626.3442344630374
0.51412.92179015500425.8362096407838
0.52418.8639172072725.3364252189027
0.53424.70528162139524.8912806292958
0.54430.45612690587524.5086207660131
0.55436.12415227587224.1584495951199
0.56441.70852213400323.7811801496754
0.57447.19714646769323.3124097393486
0.58452.5685952976422.7076829269068
0.59457.79833369028421.9663266655022
0.6462.86731328071121.1323550392337
0.61467.76991177681520.2870224188281
0.62472.51817376299719.5274140814707
0.63477.14036296284918.9336228829679
0.64481.67371382545218.5344253826904
0.65486.15338087111318.2974534203379
0.66490.60118180516118.1334094414565
0.67495.01815433249217.9243080596363
0.68499.38388808050617.5699381911081
0.69503.66328143559617.0180154242375
0.7507.81857597923716.2824911619409
0.71511.82231095643315.4388876061208
0.72515.66618463792114.5968508013812
0.73519.36214160820413.8545442970267
0.74522.93496313034913.2621740393500
0.75526.40911716419612.7933436079186
0.76529.79516918794412.3601956422965
0.77533.08147235482711.8521603940764
0.78536.23481218414411.1817552905103
0.79539.20997193947310.3208711588847
0.8541.9644556599589.30780643487006
0.81544.4725694247728.23449368359746
0.82546.7335995132777.20808798679803
0.83548.7715353332696.3208675579278
0.84550.6272872594055.6186032924902
0.85552.3471209909945.09671759036816
0.86553.9720990909364.7122614454176
0.87555.5324067258424.40854742721117
0.88557.0477853392244.14393961565964
0.89558.5317580447793.90468280971084
0.9559.9946792667423.69068735183556
0.91561.4413398853793.49029179277865
0.92562.8648779151463.26300457646229
0.93564.2501377550582.96564686274400
0.94565.6126309140632.63601788215206
0.95567.0991473056132.54339409948141
0.96569.1196213113333.26542256787438
0.97572.3028238064784.98368004527495
0.98576.8774288636236.33879018809415
0.99581.5838644762234.62179942727916
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Jul/20/t1279620813e6gsgmpw5yj5g1c/1za7v1279620818.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Jul/20/t1279620813e6gsgmpw5yj5g1c/1za7v1279620818.ps (open in new window)


 
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')
 





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