Søren Højsgaard <sorenh@agrsci.dk> and Ulrich Halekoh
<Ulrich.Halekoh.agrsci.dk> with contributions from Ulrich
Halekoh, Jim Robison-Cox, Kevin Wright and Alessandro A. Leidi.

doBy - Groupwise summary statistics, general linear contrasts,
LSMEANS (least-squares-means), and other utilities
Søren Højsgaard <sorenh@agrsci.dk> and Ulrich Halekoh
<Ulrich.Halekoh.agrsci.dk> with contributions from Jim
Robison-Cox, Kevin Wright and Alessandro A. Leidi.
doBy contains a variety of utilities including: 1)
Facilities for groupwise computations of summary statistics and
other facilities for working with grouped data. 2) General
linear contrasts and LSMEANS (least-squares-means also known as
population means), 3) Rscript2HTML for autmatic generation of
HTML file from R-script with a minimum of markup, 4)
implementation of the Kenward-Roger method for estimating
denominator degrees of freedom various for tests in linear
mixed models, 5) methods for determining p-values based on
parametric bootstrap in linear mixed models 6) other utilities.
doBy originally contained facilities for 'doing something to
data where data would be partitioned by some variables which
define groupings of data' - hence the name doBy.

S<f8>ren H<f8>jsgaard <sorenh@agrsci.dk> and Ulrich Halekoh <Ulrich.Halekoh.agrsci.dk> with
contributions from Jim Robison-Cox, Kevin Wright and Alessandro A. Leidi.
doBy contains a variety of utilities including: 1) Facilities for groupwise computations of
summary statistics and other facilities for working with grouped data. 2) General linear
contrasts and LSMEANS (least-squares-means also known as population means), 3) Rscript2HTML for
autmatic generation of HTML file from R-script with a minimum of markup, 4) implementation of
the Kenward-Roger method for estimating denominator degrees of freedom various for tests in
linear mixed models, 5) methods for determining p-values based on parametric bootstrap in
linear mixed models 6) other utilities. doBy originally contained facilities for 'doing
something to data where data would be partitioned by some variables which define groupings of
data' - hence the name doBy.
R (>= 2.10), survival, R2HTML, multcomp, lme4, snow, MASS