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  • Very nice tutorial about mercurial, the …

    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

  • 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)
    
  • 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)
    
  • 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

  • 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

    Home

  • RSAT (Regulatory Sequence Analysis Tools …

    RSAT (Regulatory Sequence Analysis Tools)

    http://rsat.ccb.sickkids.ca/index.html