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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