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*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: Mon, 20 Oct 2008 13:03:51 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Oct/20/t1224529488t4ey85pd38nwkxc.htm/, Retrieved Mon, 20 Oct 2008 19:04:48 +0000
 
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/2008/Oct/20/t1224529488t4ey85pd38nwkxc.htm/},
    year = {2008},
}
@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 = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
100.7 109.9 114.6 85.4 100.5 114.8 116.5 112.9 102 106 105.3 118.8 106.1 109.3 117.2 92.5 104.2 112.5 122.4 113.3 100 110.7 112.8 109.8 117.3 109.1 115.9 95.7
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Harrell-Davis Quantiles
quantilesvaluestandard error
0.0186.02996881965026.5675736401574
0.01186.1088909943276.53359310318414
0.01286.1904704033636.49868374791882
0.01386.27463675929296.4629245823567
0.01486.36131721504476.42632510986182
0.01586.45043661981236.38894494291608
0.01686.54191777013826.35086709734186
0.01786.63568165561516.3121181904412
0.01886.7316476986646.27277811315139
0.01986.82973398790386.23285883807859
0.0286.92985750467636.1924585323256
0.02187.03193434234146.15163322670863
0.02287.13587991800656.11040435260007
0.02387.24160917639956.06885507524535
0.02487.34903678564186.02700103528841
0.02587.45807732472065.98492752778309
0.02687.56864546250025.94268537993184
0.02787.68065612815255.90031268830948
0.02887.79402467292615.85785112163894
0.02987.90866702320525.81535891663545
0.0388.02449982484685.77287579729969
0.03188.1414405788145.7304716020941
0.03288.25940776815475.68816385970403
0.03388.37832097639845.6459804485879
0.03488.49810099747645.60398583835883
0.03588.61866993728625.56222770007391
0.03688.73995130704865.5207023828715
0.03788.86187010862195.47950111329351
0.03888.98435291195825.43856760710595
0.03989.10732792490035.39800026929471
0.0489.23072505553475.35779015475918
0.04189.35447596732455.31801022735743
0.04289.47851412726295.27864416665383
0.04389.6027748472925.2397040205769
0.04489.72719531924175.20124720559998
0.04589.8517146435515.16323760635567
0.04689.97627385203575.12572972295092
0.04790.10081592497515.08871177620555
0.04890.22528580278725.05221358876225
0.04990.34963039256865.01621931618679
0.0590.47379856977164.98073315478196
0.05190.59774117529234.94580267464494
0.05290.72141100824184.91139456820465
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0.05490.96775327250234.84414472595073
0.05591.09034097296744.81127234111037
0.05691.2124863987464.77894585719349
0.05791.334151899124.74716627001876
0.05891.45530166234964.71581672224102
0.05991.57590168552574.68501622668666
0.0691.69591974212724.6546911130122
0.06191.81532534750964.62482876839458
0.06291.93408972254264.59542429166839
0.06392.05218575560724.56644457900341
0.06492.16958796315224.53793761263989
0.06592.28627244900714.50980452183225
0.06692.40221686263424.48210151003245
0.06792.51740035649794.45478850746806
0.06892.631803542724.42785492794649
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0.0792.85819847521664.37503719116549
0.07192.97015834705844.3491025255007
0.07293.08127407314434.32348703874445
0.07393.1915328994344.29816786873154
0.07493.30092326484124.27311101941898
0.07593.4094347568974.24832199324267
0.07693.5170580677434.22374634136595
0.07793.62378495055054.19942442326518
0.07893.72960817645384.17530211724743
0.07993.83452149207464.15135128449385
0.0893.9385195777124.12759662460362
0.08194.04159800626294.10402632784235
0.08294.14375320293244.08059602397337
0.08394.2449824057874.05728368797333
0.08494.34528362719614.03410561255532
0.08594.44465561620444.01101274295052
0.08694.54309782186883.98806784213801
0.08794.64061035758983.96519585587945
0.08894.73719396646313.94239450797540
0.08994.83284998767133.91967461087959
0.0994.92758032392863.89699319044528
0.09195.02138740999423.87436458661234
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0.09395.20624404939563.82925564838484
0.09495.2973008641213.80678569403039
0.09595.38744889598313.78432328060463
0.09695.47669280524963.76184527358227
0.09795.56503761784053.73941358689735
0.09895.65248870130743.71696073014067
0.09995.73905174184313.69457925087506
0.195.82473272230693.67217425457520
0.10195.90953790124473.64977570490885
0.10295.99347379288593.62735503496649
0.10396.07654714809373.60498231616346
0.10496.15876493624793.58261284427345
0.10596.2401343280333.56025543581017
0.10696.320662679113.53789072325967
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0.10896.47922651464753.49319506868752
0.10996.55727750016163.47088459971068
0.1196.63451842015983.44859824948437
0.11196.71095733923573.42627798117202
0.11296.7866024259913.40402933865229
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0.11496.93554423212223.35961931724167
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0.11697.0814108687993.3153965995935
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0.11897.22427039754983.27138773528427
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0.12497.63549714462723.14115862227043
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0.12697.76702098184063.09861650667086
0.12797.83178125487093.0775121368381
0.12897.89588540679583.05656195961183
0.12997.95934215741373.03572251785633
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0.13398.20686899932192.95407892773632
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0.13598.32697344450552.91434327331831
0.13698.3861410280382.89479682271428
0.13798.44473024344772.87547023671103
0.13898.50274959358132.85632233632794
0.13998.56020754673922.83743919636596
0.1498.61711253507512.81874852231652
0.14198.6734729530912.80035712143612
0.14298.7292971562182.78215304801712
0.14398.78459345947282.76426620426472
0.14498.83937013618122.74664231864307
0.14598.8936354167612.72928284815573
0.14698.94739748755482.71220879711157
0.14799.00066448970752.69538829342746
0.14899.05344451808122.67889512611718
0.14999.10574562020222.66268681376043
0.1599.15757579523382.64678455509258
0.15199.20894299297172.63122547874513
0.15299.25985511285642.61596647994069
0.15399.31032000299962.60100823629499
0.15499.36034545922092.58644637306337
0.15599.40993922409242.57214341026484
0.15699.45910898598912.55818020075382
0.15799.5078623781412.54457193204843
0.15899.55620697768862.53130515289221
0.15999.60415030473722.51836231186921
0.1699.65169982141132.5058071348826
0.16199.69886293090772.49357640900175
0.16299.74564697654582.48165183507878
0.16399.7920592408172.47015168503602
0.16499.8381069444322.45902515832345
0.16599.88379724536592.44822794626808
0.16699.92913723790262.43773413906631
0.16799.97413395167972.42762424937068
0.168100.0187943507332.41793042292218
0.169100.0631253325412.40854936998434
0.17100.1071337270772.39951243262622
0.171100.1508262958602.39084320430553
0.172100.1942097310132.38252255614221
0.173100.2372906543262.37454717319753
0.174100.2800756163352.36693531746529
0.175100.3225710953982.3596463491023
0.176100.3647834967932.35271085160039
0.177100.4067191518252.34611834001976
0.178100.448384316952.33981146887617
0.179100.4897851729102.33391299947315
0.18100.5309278238922.32830062009180
0.181100.5718182967072.32301562572826
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0.183100.6528664233942.31344443866418
0.184100.6930357368982.30909495696069
0.185100.7329761900152.30503685218476
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0.188100.8514802611912.29474628006807
0.189100.8905607353382.29184909821401
0.19100.9294396666992.28927223797236
0.191100.9681222685512.28693149896084
0.192101.0066136695072.28481136774525
0.193101.0449189130432.28301384839528
0.194101.0830429570772.28142914744806
0.195101.1209906735762.28010983875248
0.196101.1587668482122.27900601356865
0.197101.1963761800512.27813153908565
0.198101.2338232812902.27742723434213
0.199101.2711126770302.27701116633683
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0.203101.4187806498042.27716106595389
0.204101.4553463360172.27766336625349
0.205101.4917796312472.27833653209663
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0.207101.5642646126432.28012718782860
0.208101.6003238626132.28129008300561
0.209101.6362658495932.28251253913417
0.21101.6720941382842.28393642946179
0.211101.7078122070082.28545090854159
0.212101.7434234480462.28712443589820
0.213101.7789311680262.28885896950268
0.214101.8143385883492.29070884111950
0.215101.8496488456602.29267974537966
0.216101.8848649923572.29474386727289
0.217101.9199899971382.29688492023401
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0.22102.0248466041492.30374211044657
0.221102.0596350757202.30613343529030
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0.223102.1289819032222.31113738763761
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Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Oct/20/t1224529488t4ey85pd38nwkxc/1ks361224529415.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Oct/20/t1224529488t4ey85pd38nwkxc/1ks361224529415.ps (open in new window)


 
Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.001 ;
 
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.001 ;
 
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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