http://syris.fr/?powtovuylust=comparatif-site-de-rencontre-coquine&993=3f Very nice tutorial about mercurial, the version control system
http://hginit.com/index.html
Blog
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Very nice tutorial about mercurial, the …
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Use hg summary to check the status of my …
Use hg summary to check the status of my files.
Looking for (clean) to make sure the changes are committed and there is nothing to merge.Example of clean status
> hg summary parent: 12:267d20bf2b03 tip merged rev.tex branch: default commit: 20 unknown (clean) update: (current)
Example when the changed is not committed and there is a merge in the repository.
parent: 8:43cedbe623e7 merged rev.tex branch: default commit: 1 modified, 20 unknown update: 2 new changesets, 2 branch heads (merge)
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Secondary axis in R plot(x) par(new = …
Secondary axis in R
plot(x) par(new = T) plot(y, axes = F, xlab = '', ylab = '') axis(4)
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Compute or plot an empirical cumulative …
Compute or plot an empirical cumulative distribution function
ecdf() -
Maximum-likelihood fitting of univariate …
Maximum-likelihood fitting of univariate distributions
fitdistr() -
rug() presents the the data on the x-axi …
rug() presents the the data on the x-axis
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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 -
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
>
> ______________________________________________
> [hidden email] mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> 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/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595 -
BioMart Sequence and feature download t …
BioMart
Sequence and feature download tools -
RSAT (Regulatory Sequence Analysis Tools …
RSAT (Regulatory Sequence Analysis Tools)
http://rsat.ccb.sickkids.ca/index.html