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R version 3.0.2 Patched (2014-01-26 r64896) -- "Frisbee Sailing"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: x86_64-unknown-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(robustbase)
> ## testing functions:
> source(system.file("xtraR/ex-funs.R", package = "robustbase"))
>
> set.seed(152)
>
> Nmax <- 12
> nn <- length(nset <- c(2:Nmax, 20, 50))## NOTA BENE: n == 1 etc are NOT YET TREATED!
> Sim <- 2^9 # = 512
>
> sn <- qn <- numeric(Sim)
> cpu <- numeric(nn)
> names(cpu) <- as.character(nset)
>
> for(n in nset) {
+ nS <- Sim ## if(n < 20) Sim else round(10*Sim/n)
+ cat("\nn = ",n,"\n------\nno.Sim. = ",nS,"\n")
+ cpu[as.character(n)] <- system.time(for(i in 1:nS) {
+ x <- rnorm(n)
+ sn[i] <- Sn0R(x)
+ qn[i] <- Qn0R(x)
+ Sn.x <- Sn(x, const = 1)
+ Qn.x <- Qn(x, const = 1)
+ if(!is.all.equal(Sn.x, sn[i], tol = 1e-5))
+ cat("i=",i," Sn() != Sn0R(): ", Sn.x, "!=", sn[i],"\n")
+ if(!is.all.equal(Qn.x, qn[i], tol = 1e-5))
+ cat("i=",i," Qn() != Qn0R(): ", Qn.x, "!=", qn[i],"\n")
+ })[1]
+ cat("Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):\n")
+ print(c(mean(sn), sd(sn)/sqrt(nS), quantile(sn, p = (1:3)/4)))
+ print(c(mean(qn), sd(qn)/sqrt(nS), quantile(qn, p = (1:3)/4)))
+ }
n = 2
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
1.17177829 0.03695327 0.52951343 1.05306039 1.62748640
25% 50% 75%
1.17177829 0.03695327 0.52951343 1.05306039 1.62748640
n = 3
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.46255834 0.01739738 0.15475882 0.36551414 0.65869811
25% 50% 75%
0.46255834 0.01739738 0.15475882 0.36551414 0.65869811
n = 4
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.84170614 0.02015695 0.51981874 0.77630479 1.12005284
25% 50% 75%
0.84170614 0.02015695 0.51981874 0.77630479 1.12005284
n = 5
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.64309841 0.01561957 0.35812751 0.60223019 0.87200727
25% 50% 75%
0.5591093 0.0133655 0.3273456 0.5337290 0.7412843
n = 6
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.81292713 0.01603854 0.54635157 0.78437781 1.03135301
25% 50% 75%
0.70787958 0.01251911 0.47540581 0.70464628 0.88664634
n = 7
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.71007470 0.01209913 0.52623935 0.69253904 0.88255673
25% 50% 75%
0.533802144 0.009128141 0.376988927 0.520001355 0.663751417
n = 8
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.82650425 0.01419433 0.58883395 0.79562656 1.00574823
25% 50% 75%
0.6645775 0.0103031 0.4938057 0.6323886 0.8027008
n = 9
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.75759768 0.01136142 0.57868634 0.74677447 0.91852270
25% 50% 75%
0.52259364 0.00736039 0.39618164 0.51826059 0.63137960
n = 10
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.83182112 0.01239199 0.62462885 0.80885273 1.01920116
25% 50% 75%
0.623637627 0.008403906 0.474993989 0.613887533 0.750270402
n = 11
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.76832479 0.01118554 0.59020462 0.76690177 0.93425844
25% 50% 75%
0.512979423 0.007139196 0.388824484 0.506239908 0.621525112
n = 12
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.85538366 0.01139366 0.66084900 0.84512561 1.01552717
25% 50% 75%
0.607337007 0.007056424 0.496338090 0.596697510 0.703213097
n = 20
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.84113700 0.00812507 0.71508462 0.82864901 0.94684680
25% 50% 75%
0.542464499 0.004534141 0.473622699 0.541929347 0.612841843
n = 50
------
no.Sim. = 512
Mean and its. std.err; Quartiles of Sn(x_1 .. x_n) and Qn(...):
25% 50% 75%
0.846902031 0.004784579 0.780334229 0.846165240 0.917926909
25% 50% 75%
0.4860477 0.0023965 0.4492734 0.4853898 0.5220596
>
> rbind("Time (CPU) used:" = summary(cpu))
Min. 1st Qu. Median Mean 3rd Qu. Max.
Time (CPU) used: 0.284 0.321 0.385 0.4803 0.462 1.515
>
> proc.time()
user system elapsed
7.506 0.077 7.725
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