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WS9 Harell-Davis Quantiles

*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 08:49:07 -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/t1259941854jbrm5s8ydnlazhj.htm/, Retrieved Fri, 04 Dec 2009 16:50:55 +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/t1259941854jbrm5s8ydnlazhj.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:
KVN WS9
 
Dataseries X:
» Textbox « » Textfile « » CSV «
-32.0928134170003 -128.744158053173 -275.904809333092 471.760903738039 -69.1654637163138 346.218578823237 163.216457137027 -198.373745010757 204.401273185691 -175.940320227463 17.4783262653075 223.539436263922 51.4668945111487 260.738288102879 204.977677230572 -232.867546347215 -217.221406054262 387.746049688947 63.5945545423544 364.638829260013 96.4516787351593 -29.7694719663539 286.722082027268 211.416619028106 -185.782838773910 -141.320849733312 238.502069839504 209.511569776478 285.264826114983 20.084745860321 -487.431942052935 107.320923964348 34.3269970752997 141.696685920852 -133.438481853825 -229.255640647698 69.0555896372578 -139.443214460286 80.0405548902168 -140.866735807813 415.577107396144 151.513504277031 -24.7248794807892 8.4258084117008 272.69433043438 313.164475266341 179.140854480554 -495.203375413695
 
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
0.01-484.71794915060837.4718442340646
0.015-475.59352252529256.3792379773168
0.02-463.90817894739474.5762424435573
0.025-449.92168337876490.297190420757
0.03-434.039331049527102.372606098816
0.035-416.760600922143110.239853776826
0.04-398.626091658403113.870251748061
0.045-380.1692751396113.644246305211
0.05-361.877500127267110.206646957051
0.055-344.164496880438104.333002117445
0.06-327.35471421173196.8186053825938
0.065-311.67836598985588.3996807375969
0.07-297.27514608379579.7051980931728
0.075-284.20415881749471.2340518662261
0.08-272.45761094137263.3527299803047
0.085-261.97609670130656.3045781311473
0.09-252.66375512553750.2270214271045
0.095-244.40208185880145.1686762917437
0.1-237.0616581474841.1083733548769
0.105-230.51146770514637.9716506566892
0.11-224.62578493881935.6475521064215
0.115-219.28883210957834.0049830865122
0.12-214.39752836227732.9098433671382
0.125-209.86270720659932.2353889044232
0.13-205.60918027273131.8714100424464
0.135-201.57499230745631.7276379315096
0.14-197.71016084043931.7333294827018
0.145-193.97513549535931.8350311226216
0.15-190.33915464866331.9946869970631
0.155-186.77862596245832.1864917136187
0.16-183.27561463842532.3947977159484
0.165-179.81648966036532.6122305693416
0.17-176.39075326257932.8378104243751
0.175-172.99006119230833.0759782000101
0.18-169.60742958509433.3354314705681
0.185-166.23661700243733.6273580698765
0.19-162.87166610592933.9647914758925
0.195-159.50658750328634.3618133532851
0.2-156.13516768934434.8316349553226
0.205-152.7508831420835.3868577038937
0.21-149.34690314324236.0365659079112
0.215-145.91616455719836.7868115148615
0.22-142.45150251959437.6405458662429
0.225-138.94582173754638.5956421696751
0.23-135.39229391016339.645686925904
0.235-131.78456768752740.7805111869067
0.24-128.11697864442641.9861813048166
0.245-124.38474798699643.2453036353777
0.25-120.58416015141844.5384352005596
0.255-116.71271108662345.8445146961465
0.26-112.76922080826047.1411256210695
0.265-108.75390572013348.4064521161238
0.27-104.66840815915449.6189455503058
0.275-100.51578255871750.7582178418369
0.28-96.300439469440351.8058261653488
0.285-92.02805035461352.7455368445993
0.29-87.705417528106653.5637025983554
0.295-83.34031477535854.2495717441874
0.3-78.941305058647354.7953863598583
0.305-74.517542238784955.1967087758034
0.31-70.078563945874455.4518975549711
0.315-65.634082617578455.5622987545629
0.32-61.193781324110955.532187194514
0.325-56.767120356371355.368246498494
0.33-52.363159717022655.0794281325695
0.335-47.990401678843854.6762755728483
0.34-43.656656516893254.171030862656
0.345-39.368933436120353.5768119111490
0.35-35.133357655038452.9075185636473
0.355-30.955113613497652.177320525572
0.36-26.838413385088851.4002733316143
0.365-22.786488619785250.590258156843
0.37-18.801603738306449.7604297990969
0.375-14.885087655309148.9231131146725
0.38-11.037381024312348.0897744297536
0.385-7.2580958661864747.2707461532223
0.39-3.5460844517967646.4750663625645
0.3950.10048555999271645.710751077186
0.43.6840524964994544.9845602473156
0.4057.2075810162498544.3021390764687
0.4110.674483520418843.6680450204312
0.41514.088544331624143.0858751949010
0.4217.453847935918542.5583150268051
0.42520.774712186895042.0872829360569
0.4324.055626997867641.6739985560891
0.43527.301198711793641.3191276376739
0.4430.516100048434841.0227798631256
0.44533.705025290557940.7847118126658
0.4536.872650189155640.6042378378347
0.45540.023595942487740.4804036250372
0.4643.162396533616840.4119775587456
0.46546.293468692536840.3973890504862
0.4749.421083776828340.4348264021979
0.47552.549340932723340.5222056708433
0.4855.682140999272740.6570567926262
0.48558.823160744278840.8366743201623
0.4961.975827163743441.0578202623838
0.49565.143291728886841.3171646940845
0.568.328404618629641.6104064075892
0.50571.53368912372441.9333627282146
0.5174.761316545088642.2811408977454
0.51578.01308202793242.6486206784735
0.5281.290381870569443.0299792672596
0.52584.594192919275743.4193332208539
0.5387.925054706119443.8102259297974
0.53591.283055004763144.1961882052843
0.5494.667819470183344.5705709819471
0.54598.07850599366944.9265511308099
0.55101.51380434677445.2574173763797
0.555104.97194161025745.5565214275053
0.56108.45069379007045.817542550454
0.565111.94740391592946.0344582378414
0.57115.45900680271846.2015201284729
0.575118.98206053428346.3138939453557
0.58122.51278460610146.3668238022383
0.585126.04710453998546.3565525873725
0.59129.58070266203846.2800366774848
0.595133.10907461519246.1349787670541
0.6136.62759105998545.9200328073535
0.605140.13156390144345.6346043757594
0.61143.61631626530945.2791678791671
0.615147.07725533302844.8549443629761
0.62150.50994703150244.3642319789515
0.625153.91019146139843.8104030563171
0.63157.27409783819243.1975250353711
0.635160.59815761608342.5306849695161
0.64163.87931437063141.8159745643065
0.645167.11502893719641.0601492006442
0.65170.30333824611340.2708813172808
0.655173.44290627005439.4566324721112
0.66176.53306551331938.6262273434301
0.665179.57384753566737.7896195505468
0.67182.56600112356036.9564578970169
0.675185.51099690649236.1371894694546
0.68188.41101747099235.3419839967942
0.685191.26893235222534.5812654740161
0.69194.08825768221433.8647113450035
0.695196.87310073918333.2018677398079
0.7199.62809016487032.6007110641437
0.705202.35829318115232.0685817924323
0.71205.06912172450631.6109701489801
0.715207.7662300025331.2319837486243
0.72210.45540653270730.9331061976316
0.725213.14246421840030.7144693631334
0.73215.83313241714430.5734328147858
0.735218.53295522773930.5055858661794
0.74221.24720033247330.5046136555488
0.745223.98078264956230.5625341783326
0.75226.73820675430430.6700211388468
0.755229.52353149891830.8170937311217
0.76232.3403594941830.9935653197429
0.765235.19185311628131.1893120041591
0.77238.08077748966731.3947254339196
0.775241.00956950656231.601838935948
0.78243.98043042850731.8036461941457
0.785246.99543804379331.9955242865244
0.79250.05667281194032.1749586153829
0.795253.16635101142432.3416046762784
0.8256.32695672864132.4976507147818
0.805259.54136369881132.64751581666
0.81262.81293764590732.7977964267376
0.815266.14560997118632.9569574380258
0.82269.54391449231233.134131805327
0.825273.01298049141633.3392524690577
0.83276.55847760634233.5817080369356
0.835280.18651106242233.8692469915369
0.84283.90346930713934.2071601059170
0.845287.71583013604734.597518833506
0.85291.62993569271535.0385563845353
0.855295.65175105311335.5238063129998
0.86299.78662520413636.0422063885106
0.865304.03907682887336.5786111999381
0.87308.41263016495737.1143254150113
0.875312.90972808440837.6282327940325
0.88317.53175026039638.0977724247116
0.885322.27916364261438.5010126643018
0.89327.15183018199038.8177526047884
0.895332.14949233126739.0315670176621
0.9337.27244937984139.1310844140297
0.905342.52242555880639.1113284134711
0.91347.90361154501538.9750228683761
0.915353.42383090792438.7333011855458
0.92359.09573770122938.4060817227167
0.925364.93788620216538.022256708901
0.93370.97542571334037.6197333920485
0.935377.24006384698637.2449694659136
0.94383.76882115410536.9532654961818
0.945390.60099301677436.8082126097939
0.95397.77268589587236.8813815343418
0.955405.30837189448337.2501030790167
0.96413.2091960325137.9915864089008
0.965421.43836892416839.1714140652204
0.97429.90495399872440.825865828888
0.975438.44870878971342.9397711769368
0.98446.83021706830445.4279527724526
0.985454.73198986120148.1267598208762
0.99461.77689213746650.8036933127674
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259941854jbrm5s8ydnlazhj/1r9ka1259941745.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259941854jbrm5s8ydnlazhj/1r9ka1259941745.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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