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Verbetering Q9

*The author of this computation has been verified*
R Software Module: rwasp_harrell_davies.wasp (opens new window with default values)
Title produced by software: Harrell-Davis Quantiles
Date of computation: Thu, 30 Oct 2008 10:46:14 -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/30/t1225385273a58265vt65ecdzu.htm/, Retrieved Thu, 30 Oct 2008 16:47:53 +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/30/t1225385273a58265vt65ecdzu.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 «
0.793120172 0.792404046 0.798733277 0.792472927 0.801583754 0.800779967 0.796457292 0.794236111 0.786619647 0.7909731 0.784395274 0.795456132 0.805038314 0.799336464 0.807777892 0.809105332 0.809935895 0.809730841 0.810919757 0.800497147 0.785970882 0.826728976 0.827939046 0.831805591 0.833033335 0.835898213 0.833649002 0.835830216 0.83329087 0.83497378 0.823182477 0.827437378 0.824557069 0.827703169 0.829068243 0.827612041 0.831136868 0.833317282 0.825606365 0.833879102 0.82990246 0.82831348 0.829989621 0.832772975 0.826000887 0.827872063 0.828840441 0.828814107 0.832422325 0.840413025 0.832671665 0.830154726 0.837680443 0.822135395 0.833747382 0.834151327 0.823301409 0.828700587 0.834911097 0.83463772
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time67 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Harrell-Davis Quantiles
quantilesvaluestandard error
0.01-0.03449286393038710.00154977039681993
0.0105-0.0344620390786970.00155455406475286
0.011-0.03443046318930250.00155999949592932
0.0115-0.03439815124861910.00156615979502352
0.012-0.03436511837464350.00157300539308346
0.0125-0.03433137977962050.00158060011672561
0.013-0.03429695073510660.00158890889934001
0.0135-0.03426184653940900.00159799971971688
0.014-0.0342260824873730.00160782996420533
0.0145-0.03418967384247850.00161841083568484
0.015-0.03415263581120270.00162975143824113
0.0155-0.03411498351959330.00164184982414674
0.016-0.03407673199199570.00165468694598007
0.0165-0.03403789613186730.00166827423544234
0.017-0.03399849070460940.00168256892047802
0.0175-0.03395853032234330.00169758987449817
0.018-0.03391802943055040.00171330638214617
0.0185-0.03387700229649640.00172968362331034
0.019-0.03383546299935550.00174670101367495
0.0195-0.0337934254219480.00176435233723476
0.02-0.03375090324400460.00178259140860288
0.0205-0.03370790993686870.00180140294751090
0.021-0.03366445875954850.00182074775625766
0.0215-0.03362056275602870.00184061341219099
0.022-0.03357623475375530.00186095183774442
0.0225-0.03353148736320360.00188170734977010
0.023-0.03348633297844430.00190285610941337
0.0235-0.03344078377862240.00192440078697152
0.024-0.03339485173026360.00194625574123417
0.0245-0.03334854859032940.001968389540026
0.025-0.03330188590993910.00199081205063484
0.0255-0.03325487503868340.00201342882426427
0.026-0.03320752712945370.00203622709968006
0.0265-0.03315985314371760.00205918810460713
0.027-0.03311186385716980.00208225468628405
0.0275-0.03306356986569410.00210539344139489
0.028-0.03301498159157300.00212856343765959
0.0285-0.03296610928988730.00215171735938708
0.029-0.03291696305504650.00217484206936976
0.0295-0.03286755282740.00219790813921419
0.03-0.03281788839987870.00222089216730484
0.0305-0.03276797942461910.00224372642615281
0.031-0.03271783541952950.00226640170605826
0.0315-0.03266746577475670.00228888217465857
0.032-0.03261687975901660.00231113564340469
0.0325-0.0325660865257570.00233313707055060
0.033-0.03251509511912050.0023548534444081
0.0335-0.03246391447968090.00237628735674582
0.034-0.03241255344992950.00239737600599908
0.0345-0.03236102077948880.00241811107892994
0.035-0.03230932513003580.00243845255292884
0.0355-0.03225747507991830.00245841133544531
0.036-0.03220547912845210.00247793647435842
0.0365-0.03215334569988660.00249703913116282
0.037-0.03210108314703130.00251566594314927
0.0375-0.03204869975453750.00253379660327037
0.038-0.03199620374182930.00255146418010134
0.0385-0.0319436032656840.00256860640600364
0.039-0.03189090642245970.00258523241010214
0.0395-0.03183812124997430.00260130186798387
0.04-0.03178525572903560.00261683339421601
0.0405-0.03173231778463120.00263179926532416
0.041-0.03167931528678190.00264618948566948
0.0415-0.03162625605106710.00266001371788015
0.042-0.03157314783883140.00267323282945732
0.0425-0.03151999835708130.00268585676107975
0.043-0.03146681525808430.00269788678097269
0.0435-0.03141360613868160.00270931430278416
0.044-0.03136037853932590.00272011445764036
0.0445-0.03130713994286060.00273031637256576
0.045-0.03125389777305030.00273989586540012
0.0455-0.03120065939288110.00274885897624219
0.046-0.03114743210264230.00275718670362345
0.0465-0.0310942231378070.00276491507714732
0.047-0.03104103966672510.00277201313126245
0.0475-0.03098788878814590.00277850358320767
0.048-0.03093477752858550.00278437977325160
0.0485-0.03088171283955410.00278965638326706
0.049-0.03082870159466000.00279431839558325
0.0495-0.03077575058660480.00279839441137231
0.05-0.03072286652408680.00280185386281311
0.0505-0.03067005602862660.00280474952327892
0.051-0.03061732563132970.00280705251533939
0.0515-0.0305646817696030.00280879332099881
0.052-0.0305121307838370.00280997946709427
0.0525-0.03045967891406940.00281057328203284
0.053-0.03040733229664330.00281065591832864
0.0535-0.03035509696087370.00281019305473577
0.054-0.03030297882573350.00280920514189135
0.0545-0.03025098369657390.00280770876995160
0.055-0.03019911726188810.00280570875385284
0.0555-0.03014738509013230.00280321771138347
0.056-0.03009579262661210.00280024099541573
0.0565-0.03004434519044680.00279681207346099
0.057-0.02999304797161970.00279291862464576
0.0575-0.02994190602812360.002788589745867
0.058-0.02989092428321120.00278384204125785
0.0585-0.0298401075227560.00277868701853232
0.059-0.02978946039273390.00277310813929487
0.0595-0.02973898739682960.00276717671680410
0.06-0.02968869289417520.00276086347315820
0.0605-0.02963858109722690.00275419793714602
0.061-0.02958865606978430.00274719468301406
0.0615-0.02953892172515640.00273986109701500
0.062-0.02948938182447940.00273223004101840
0.0625-0.02944003997518830.00272429599619696
0.063-0.02939089962964670.00271608069256534
0.0635-0.02934196408393610.00270761964821556
0.064-0.02929323647680610.00269890605624348
0.0645-0.02924471978878910.00268995018348354
0.065-0.02919641684147790.00268079357254064
0.0655-0.0291483302969680.0026714319260855
0.066-0.02910046265746520.00266187058693382
0.0665-0.02905281626505610.00265216231749717
0.067-0.02900539330164340.00264229452388846
0.0675-0.02895819578904240.00263228604775707
0.068-0.0289112255892390.00262215994017248
0.0685-0.02886448440480650.00261191572355618
0.069-0.02881797377947880.00260158340877163
0.0695-0.02877169509887870.00259117604836297
0.07-0.0287256495913970.00258069802231984
0.0705-0.02867983832922050.00257018384115234
0.071-0.0286342622295050.00255962966788591
0.0715-0.02858892205569040.00254905285620106
0.072-0.02854381841895340.00253847437574462
0.0725-0.02849895177979430.00252789953143234
0.073-0.02845432244975340.00251734014556103
0.0735-0.02840993059325380.00250682811594965
0.074-0.02836577622956480.00249635678899587
0.0745-0.02832185923488130.00248594688646883
0.075-0.02827817934451680.00247560183426622
0.0755-0.02823473615520120.00246534937441438
0.076-0.02819152912748320.00245518217872310
0.0765-0.0281485575882280.00244512690875898
0.077-0.02810582073320830.00243520505771102
0.0775-0.02806331762978250.00242541050648420
0.078-0.02802104721965430.00241572605221066
0.0785-0.02797900832171000.00240621734213536
0.079-0.02793719963492720.00239688242346759
0.0795-0.02789561974135070.00238770071270213
0.08-0.02785426710912940.00237869845289017
0.0805-0.02781314009561030.00236988870962757
0.081-0.02777223695048390.00236129088007683
0.0815-0.02773155581897590.00235285427076116
0.082-0.02769109474508050.00234466791687606
0.0825-0.02765085167483060.00233669721204264
0.083-0.02761082445959970.00232894263073865
0.0835-0.02757101085943070.00232141023757720
0.084-0.02753140854638730.00231414310075297
0.0845-0.02749201510792330.00230710765647279
0.085-0.02745282805026520.00230032975357196
0.0855-0.02741384480180360.00229380241623081
0.086-0.02737506271648960.00228753212873690
0.0865-0.02733647907723130.00228154222162427
0.087-0.02729809109928740.00227579766835423
0.0875-0.02725989593365250.0022703463327883
0.088-0.02722189067043160.00226517863426946
0.0885-0.02718407234219970.00226026048127827
0.089-0.02714643792734220.00225564126499971
0.0895-0.02710898435337400.00225131440127294
0.09-0.02707170850023270.00224725116134864
0.0905-0.02703460720354320.00224348030156949
0.091-0.02699767725785120.00223998529544554
0.0915-0.02696091541982170.00223680360490511
0.092-0.02692431841140020.00223390645317777
0.0925-0.02688788292293390.00223127865712948
0.093-0.02685160561625060.00222895046379206
0.0935-0.02681548312769210.00222689875527995
0.094-0.02677951207110090.00222516694364127
0.0945-0.02674368904075730.00222369133553264
0.095-0.02670801061426510.00222250288059427
0.0955-0.02667247335538380.00222159986192510
0.096-0.02663707381680650.00222097451506725
0.0965-0.02660180854288010.00222063190538198
0.097-0.02656667407226830.00222057861363008
0.0975-0.02653166694055440.00222077391797986
0.098-0.02649678368278320.0022212683616146
0.0985-0.02646202083594180.00222200198791430
0.099-0.02642737494137600.00222302922453997
0.0995-0.02639284254714390.00222428484619386
0.1-0.02635842021030390.00222580508187482
0.1005-0.0263241044991380.00222758972184732
0.101-0.02628989199530810.00222962490587244
0.1015-0.02625577929594620.00223191311043128
0.102-0.02622176301567790.00223442351471756
0.1025-0.02618783978857750.00223718287758615
0.103-0.02615400627005670.00224017021377945
0.1035-0.02612025913868480.00224339191469225
0.104-0.02608659509794150.00224684461965108
0.1045-0.02605301087790190.00225050622863164
0.105-0.02601950323685410.00225437967391761
0.1055-0.02598606896284890.00225848114540098
0.106-0.02595270487518310.00226275222387886
0.1065-0.02591940782581520.00226724360347695
0.107-0.02588617470071570.00227194227603095
0.1075-0.02585300242115040.00227681129290930
0.108-0.02581988794489910.00228188034574520
0.1085-0.02578682826740920.00228712946318221
0.109-0.02575382042288560.00229255516811375
0.1095-0.02572086148531660.00229813413399786
0.11-0.02568794856943710.00230388556175109
0.1105-0.02565507883163090.00230981850511773
0.111-0.02562224947077100.00231588582812774
0.1115-0.02558945772899970.00232209120819445
0.112-0.02555670089245090.00232847794909641
0.1125-0.02552397629191210.00233498706586029
0.113-0.02549128130343110.00234161846766795
0.1135-0.0254586133488650.00234840540510927
0.114-0.02542596989637550.00235531411081502
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0.116-0.02529559211425250.00238410391456752
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0.117-0.02523048787643890.00239914388437675
0.1175-0.02519794901596210.00240679903742074
0.118-0.02516541611183740.00241456248352615
0.1185-0.02513288706267680.00242240038352454
0.119-0.02510035981555970.00243034132363095
0.1195-0.02506783236599650.00243830602997742
0.12-0.02503530275785210.00244639848794960
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0.121-0.02497022948231350.00246274943324780
0.1215-0.02493768214318230.00247100531951323
0.122-0.02490512530157530.00247934082725805
0.1225-0.02487255724063250.00248773384408304
0.123-0.02483997629059810.00249617067819621
0.1235-0.02480738082849170.00250465408056724
0.124-0.02477476927774880.00251318333832688
0.1245-0.02474214010783180.00252176222850718
0.125-0.02470949183381190.00253036997729534
0.1255-0.02467682301592360.00253902306574791
0.126-0.02464413225909360.00254767901202574
0.1265-0.02461141821244390.00255638699663459
0.127-0.02457867956877140.00256512258834194
0.1275-0.02454591506400480.00257388809035639
0.128-0.024513123476640.00258265772328180
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0.129-0.02444745437740230.00260026405469909
0.1295-0.02441457462999260.00260907993557603
0.13-0.02438166332764800.00261792303034335
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0.1345-0.0240838861711680.00269752733054909
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0.149-0.02310065544119170.00294537715646887
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0.15-0.02303136492567680.0029616773041356
0.1505-0.02299664548197610.00296977423695883
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0.158-0.02246990169859180.00308881690327797
0.1585-0.02243438864492330.00309660187051243
0.159-0.02239882606468630.00310439380149075
0.1595-0.02236321397491350.00311216109709632
0.16-0.02232755239173940.0031199081617373
0.1605-0.02229184132996880.00312763007638155
0.161-0.02225608080265880.00313536646942403
0.1615-0.02222027082071350.00314309617177593
0.162-0.02218441139249110.00315080307732626
0.1625-0.02214850252342370.00315851228913701
0.163-0.022112544215650.00316622804488748
0.1635-0.02207653646766060.00317391133766977
0.164-0.02204047927395590.00318161564786377
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0.98950.02038948876851450.00241184805455237
0.990.02043264298436320.0024286988178531
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Oct/30/t1225385273a58265vt65ecdzu/10tsf1225385099.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Oct/30/t1225385273a58265vt65ecdzu/10tsf1225385099.ps (open in new window)


 
Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.0005 ;
 
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.0005 ;
 
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
x<- x-0.819327
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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