[R] Re: gregmisc version 0.7.3 now available

[kjetil halvorsen]

Martin Hoyle wrote:
> 
> Dear Greg,
> Thanks for the new release. The decomposition of the SSQ is just what I need!
> 
I thought decomposition of the SSQ can be obtained with the split=
argument to summary.aov? That argument seems tro be new --- it didnt
exist two years ago, and I was reacently made aware of it.
It might not be well known?

Kjetil Halvorsen



> Regards,
> Martin.
> 
> Martin Hoyle,
> School of Life and Environmental Sciences,
> University of Nottingham,
> University Park,
> Nottingham,
> NG7 2RD,
> UK
> Webpage: http://myprofile.cos.com/martinhoyle
> 
> >>> gregory_r_warnes at groton.pfizer.com 10/30/02 07:16PM >>>
> 
> Version 0.7.3 of the gregmisc package is now available on CRAN.  A compiled
> windows package has also been sent to Brian Ripley for inclusion in the
> windows package directory.
> 
> This version of gregmisc fixes a number of bugs and introduces several new
> functions.
> 
> Highlights of this version:
> ===========================
> 
> New Features:
> - Introduction of pdirichlet() and rdirichlet() functions.
> - Addition of fast.prcomp() and fast.svd(), are more efficient than
>   the built-in versions on very wide matrixes.  (Short term solution
>   until patches are integrated into the R source.)
> - Add permute() function as a convenience wrapper for sample()
> 
> Bug Fixes:
> - Fixed bug in barplot2() when log scale axes are used.
> - Fixed contrasts.lm() to allow use on aov objects
> - Other miscellaneous bug fixes.
> - Removed enhanced version of plot.lm() which has been broken by
>   recent changes to R base packages.
> 
> Documentation Enhancements:
> - make.contrasts(), which allows easy creation of user specified
>   contrasts, is now fully documented.
> - Help files for make.contrasts and contrast.lm now show how to
>   compute and test contrasts, including SSQ decompositions, in
>   analysis of variance models
> 
> Description:
> ============
> 
> Package: gregmisc
> Description: Misc Functions written/maintained by Gregory R. Warnes
> Title: Greg's Miscellaneous Functions
> Version: 0.7.3
> Date: 2002/10/29
> Maintainer: Gregory R. Warnes <Gregory_R_Warnes at groton.pfizer.com>
> Author: Gregory R. Warnes.  Includes code provided by Ben Bolker,
>         Bendix Carstensen, Don MacQueen, William Venables, and Marc
>         Schwartz, Ben Bolker, and Ian Wilson
> License: GPL (version 2 or later)
> Depends: MASS
> Built: R 1.6.0; sparc-sun-solaris2.8; Tue Oct 29 21:40:30 EST 2002
> 
> Index:
> 
> CrossTable              Cross Tabulation with Tests for Factor
>                         Independence
> aggregate.table         Create 2-Way Table of Summary Statistics
> bandplot                Plot x-y Points with Locally Smoothed Mean and
>                         Standard Deviation
> barplot2                Enhanced Bar Plots
> boxplot.n               Produce a Boxplot Annotated with the Number of
>                         Observations
> ci                      Compute Confidence Intervals
> combinations            Enumerate the Combinations or Permutations of
>                         the Elements of a Vector
> combine                 Combine R Objects With a Column Labeling the
>                         Source
> contrast.lm             Compute and test arbitrary contrasts for
>                         regression objects
> rdirichlet              Functions for the Dirichlet Distribution
> estimable               Compute and test estimable linear functions of
>                         the fitted coefficients (including contrasts)
>                         of regression objects
> factorial               Compute factorial function
> fast.prcomp             Efficient computation of principal components
>                         and singular value decompositions.
> glh.test                Test a General Linear Hypothesis for a
>                         Regression Model
> hist2d                  Compute and Plot a 2-Dimensional Histogram
> interleave              Interleave Rows of Data Frames or Matrices
> lowess                  Scatter Plot Smoothing
> make.contrasts          Construct a User-Specified Contrast Matrix
> nobs                    Compute the Number of Non-missing Observations
> permute                 Randomly Permute the Elements of a Vector
> plotCI                  Plot Error Bars
> plotmeans               Plot Group Means and Confidence Intervals
> quantcut                Create a Factor Variable Using the Quantiles of
>                         a Continuous Variable
> rename.vars             Rename variables in a dataframe
> reorder                 Reorder the Levels of a Factor
> running                 Apply a Function Over Adjacent Subsets of a
>                         Vector
> space                   Space points in an x-y plot so they don't
>                         overlap.
> undocumented            Undocumented functions
> wapply                  Compute the Value of a Function Over a Local
> 
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