[R] Re: gregmisc version 0.7.3 now available

Martin Hoyle plxmh at nottingham.ac.uk
Thu Oct 31 15:42:16 CET 2002

Dear Greg,
Thanks for the new release. The decomposition of the SSQ is just what I need!


Martin Hoyle,
School of Life and Environmental Sciences,
University of Nottingham,
University Park,
NG7 2RD,
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

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


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


CrossTable              Cross Tabulation with Tests for Factor
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
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
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
space                   Space points in an x-y plot so they don't
undocumented            Undocumented functions
wapply                  Compute the Value of a Function Over a Local

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