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 splitargument 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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