Secondary axis in R
plot(x) par(new = T) plot(y, axes = F, xlab = '', ylab = '') axis(4)
Categories
Month: February 2011
Categories
Compute or plot an empirical cumulative …
Compute or plot an empirical cumulative distribution function
ecdf()
Categories
Maximum-likelihood fitting of univariate …
Maximum-likelihood fitting of univariate distributions
fitdistr()
Categories
rug() presents the the data on the x-axi …
rug() presents the the data on the x-axis
Categories
Difference between density() and bkde() …
Difference between density() and bkde()
They are also different in the default bandwidth.
Venables, W. N. and B. D. Ripley, (2002), Modern Applied Statitics with S (4th ed.), pp126-128
Categories
Difference between density() and bkde(); …
Difference between density() and bkde(); two kernel density estimation functions in R
On Mon, 18 Jan 2010, Mario Valle wrote:
> Any advice when to use denstity() and when the KernSmooth package bkde() to
> smooth a histogram?
>
> No specific problem to use either one, but I’m curious why there are two so
> similar implementations.
They are fundamentally different. density() uses FFT: bkde() does
not and is more flexible as a result Both use binning.
There are only a limited number of ways to implement something as
simple as KDE, and most of them have appeared in R/S-PLUS. Remember
that KernSmooth was written for S-PLUS and predates R (at least in
anything like its current form).
> Thanks!
> mario
>
> —
> Ing. Mario Valle
> Data Analysis and Visualization Group | http://www.cscs.ch/~mvalle
> Swiss National Supercomputing Centre (CSCS) | Tel: +41 (91) 610.82.60
> v. Cantonale Galleria 2, 6928 Manno, Switzerland | Fax: +41 (91) 610.82.82
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
… [show rest of quote]
—
Brian D. Ripley, [hidden email]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
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