Home » date » 2009 » Dec » 04 »

W9.6

*The author of this computation has been verified*
R Software Module: /rwasp_harrell_davis.wasp (opens new window with default values)
Title produced by software: Harrell-Davis Quantiles
Date of computation: Fri, 04 Dec 2009 10:24:17 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/04/t12599476369ze8vzznlhovt8p.htm/, Retrieved Fri, 04 Dec 2009 18:27:18 +0100
 
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/2009/Dec/04/t12599476369ze8vzznlhovt8p.htm/},
    year = {2009},
}
@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 = {2009},
    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:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
-1575.00887827752 -2263.82750005582 7045.75768165492 -2035.83149854133 3886.02985519469 158.539675832947 960.457190377358 -337.841379165606 -7109.61280621946 -7043.92461948593 4685.51755601771 977.408177407792 918.328545859417 589.375354065341 -6891.67878957285 1533.64184150137 2210.55324487903 -9280.29800578057 8034.36112956057 3659.22886246375 7117.41595284467 -2633.18383716224 -4523.01908028135 -10249.2788035485 1517.80356687876 1484.15119995578 -1214.46781890457 2169.24845396691 -2253.92155265332 -2631.74888936717 -3849.26121145593 821.620255775573 -9408.87260464867 1241.88804485160 1179.93724525252 -1962.37832237001 516.653311386494 -2767.97210236296 5629.81911313198 5803.53000967108 -1873.10106680445 -7023.12305076338 -1722.94778568371 -3011.92640473933 -17439.1442995944 -1770.63103827571 -6148.68941133731 7691.62364275427 -4994.18050152824 -4899.69881288656 5524.45031429093 -6451.65580766626 -9155.30558471285 9268.49118895307 4067.36942971564 -1546 etc...
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-16500.65916549702538.87166025296
0.015-15765.72858462642870.24998339523
0.02-14937.08515035583073.17210932402
0.025-14079.42162326853096.83732360077
0.03-13245.93503552942951.10574092636
0.035-12474.17565394362682.85147386212
0.04-11785.87146373992351.47040123669
0.045-11189.10396732172011.78571123651
0.05-10681.59268060921705.35369014027
0.055-10254.21785283991458.06793056996
0.06-9894.218901782241280.84738489080
0.065-9587.756154434481171.50593584119
0.07-9321.7217341331117.88773435598
0.075-9084.82965046021103.03690250774
0.08-8868.103851953641110.46297520795
0.085-8664.921691136271127.17455266957
0.09-8470.771015314741144.34755422875
0.095-8282.856576579671156.77146191585
0.1-8099.658785688831162.05708196449
0.105-7920.514397980581159.89854543652
0.11-7745.259808234371151.46430236011
0.115-7573.955296124971138.81453762758
0.12-7406.692827134161124.38990448374
0.125-7243.479926283671110.61213625973
0.13-7084.186479091441099.50338961240
0.135-6928.538927578091092.44860163835
0.14-6776.146264697871090.13399939817
0.145-6626.543725732281092.51640632872
0.15-6479.242519541631098.962761935
0.155-6333.776842681711108.47473423968
0.16-6189.742380730421119.82453129021
0.165-6046.823223477811131.78201649275
0.17-5904.806398099761143.20752016987
0.175-5763.584943282941153.15686556788
0.18-5623.151577059821160.89606307219
0.185-5483.585589562211165.94446984219
0.19-5345.035705354951168.01327477619
0.195-5207.701422590071167.00418819861
0.2-5071.814870544311162.94745959294
0.205-4937.624648614961155.97495729899
0.21-4805.382515863611146.26805596584
0.215-4675.333263775751134.03939529222
0.22-4547.707673071581119.48584156329
0.225-4422.718150749361102.78152345669
0.23-4300.55646812781084.10410804641
0.235-4181.392961164331063.58071191071
0.24-4065.376587567951041.34632507235
0.245-3952.635333269111017.51667838389
0.25-3843.27659532994992.227159232374
0.255-3737.38731391901965.616722876953
0.26-3635.033762086937.862636078684
0.265-3536.26101436397909.156372458738
0.27-3441.09219551836879.728711185435
0.275-3349.52765651112849.821502083248
0.28-3261.54423802137819.711977672541
0.285-3177.09476804651789.680614123748
0.29-3096.10790656628760.02164198113
0.295-3018.48840509015731.018801238644
0.3-2944.11779993495702.95144476931
0.305-2872.85551203077676.075860608291
0.31-2804.54028811446650.644903227136
0.315-2738.99189174283626.874444129338
0.32-2676.01293927163604.956693465573
0.325-2615.39077582952585.068981474967
0.33-2556.89929808398567.36315390947
0.335-2500.30065199992551.977645169294
0.34-2445.34676197043539.032409235927
0.345-2391.78067951971528.646319225122
0.35-2339.33777211076520.928454771669
0.355-2287.74680254500515.980844327224
0.36-2236.73097452379513.90338402921
0.365-2186.00903817146514.792989701622
0.37-2135.29655928444518.728341176847
0.375-2084.30745696071525.775721484095
0.38-2032.75590585755535.972312158444
0.385-1980.35868198205549.323287569035
0.39-1926.83800552513565.790788867467
0.395-1871.92490217958585.283411076865
0.4-1815.36306742350607.651957354115
0.405-1756.91317852537632.686179793361
0.41-1696.35755889468660.108952157607
0.415-1633.50506134448689.58355669542
0.42-1568.19600332165720.696946796293
0.425-1500.30696052243752.99167861809
0.43-1429.75520757831785.9499994199
0.435-1356.50258727206819.015402364107
0.44-1280.55859407391851.600932424852
0.445-1201.98247407163883.10640675345
0.45-1120.88417129270912.91957945327
0.455-1037.42398894305940.452644630672
0.46-951.8108814874965.139018367963
0.465-864.299347433642986.46652168114
0.47-775.1849503498771003.98020012246
0.475-684.798553924171017.30096721665
0.48-593.4994125579021026.14038166320
0.485-501.6673089553911030.30432804857
0.49-409.6939716446581029.70441999660
0.495-317.9740360528461024.35677298472
0.5-226.8958310433001014.38937030280
0.505-136.8322778474251000.02847491477
0.51-48.1321800633739981.601503144519
0.51538.8878373700762959.522457047936
0.52123.950514049310934.283689553638
0.525206.824079196973906.440270891769
0.53287.327177053765876.59861007492
0.535365.332503652438845.399885943761
0.54440.769116359461813.506912617827
0.545513.623425352938781.588182798139
0.55583.938918970292750.311210547618
0.555651.814710600138720.318904989805
0.56717.403022115783692.232867140348
0.565780.905737044098666.63218272155
0.57842.57016572871644.054750662508
0.575902.684165351317624.977868061223
0.58961.570751084504609.817096114762
0.5851019.58232260194598.91183839659
0.591077.09461472488592.520929528755
0.5951134.50046433624590.813565005934
0.61192.20346999790593.861065499422
0.6051250.61160788733601.644299701454
0.611310.13085924626614.054426678571
0.6151371.15890148878630.890622766619
0.621434.07891778117651.880938804634
0.6251499.25358791878676.684851701783
0.631567.01933562449704.904608126998
0.6351637.68092229037736.091093610585
0.641711.50649248454769.756316135251
0.6451788.72318973809805.371052504262
0.651869.51346961483842.386055122643
0.6551954.01223843446880.230685927555
0.662042.30493830919918.323929645007
0.6652134.42668112911956.093515407381
0.672230.36250549685992.978746612315
0.6752330.048792159281028.44598566430
0.682433.375827138961062.00941164037
0.6852540.191450519021093.22701934225
0.692650.305676526831121.72843733411
0.6952763.496121572761147.21247387226
0.72879.514035706791169.45866929151
0.7052998.090703635981188.32729886442
0.713118.943967171521203.75100825619
0.7153241.784623548071215.75498263530
0.723366.322473584421224.41219042144
0.7253492.271828382691229.86553745867
0.733619.356329676821232.30157382396
0.7353747.312992095271231.93400048822
0.743875.895429712351228.99733167297
0.7454004.876278477261223.73640723963
0.754134.048865386311216.38169109031
0.7554263.22820121571207.1790343009
0.764392.251385196491196.33770617739
0.7654520.977508810051184.06414815601
0.774649.28713612841170.56631002151
0.7754777.081426062431156.02044841907
0.784904.280954711161140.61500925345
0.7855030.824300444531124.51914999263
0.795156.666475000141107.90899433134
0.7955281.777321672041090.93278011309
0.85406.140052759401073.73855183775
0.8055529.75015374241056.42644939190
0.815652.614927407261039.09163132693
0.8155774.753970563431021.79765102764
0.825896.200851967531004.58169707716
0.8256017.0061786669987.478355719013
0.836137.24209237445970.534751975217
0.8356257.00803166522953.838843435488
0.846376.43734736546937.529692150454
0.8456495.70410007587921.831711661555
0.856615.02914713989907.057822626795
0.8556734.68449940596893.603433192915
0.866854.99495903206881.919542799966
0.8656976.33629858645872.473817443186
0.877099.12975545124865.67385320307
0.8757223.83341421265861.820816396619
0.887350.93211219154861.011068409064
0.8857480.92875060354863.123054611353
0.897614.34117209641867.79334323714
0.8957751.70982982957874.479037846389
0.97893.6219783557882.545139633672
0.9058040.75762026371891.433403196003
0.918193.96043712163900.879397737363
0.9158354.33292029203911.145701582262
0.928523.3485447777923.26722580136
0.9258702.9651016832939.246074952477
0.938895.71284970164962.097516154024
0.9359104.72047414045995.584681551459
0.949333.633466123081043.49255392385
0.9459586.37675051191108.34751288294
0.959866.719547305051189.79971177132
0.95510177.61775495271283.07167657267
0.9610520.33757251351377.96656631632
0.96510893.40169747501458.97026309040
0.9711291.44581737941507.00845465631
0.97511704.13629811971503.46290985583
0.9812115.40295103921436.86637574534
0.98512503.41518548711311.42243884111
0.9912841.97705065231153.80735399519
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/04/t12599476369ze8vzznlhovt8p/143h51259947455.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/04/t12599476369ze8vzznlhovt8p/143h51259947455.ps (open in new window)


 
Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.005 ;
 
Parameters (R input):
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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