Bill Pikounis and John Oleynick <cg@billpikounis.net>
cg is comprehensive data analysis software, and stands for
"compare groups." Its genesis and evolution are driven by
common needs to compare administrations, conditions, etc. in
medicine research & development. The current version provides
comparisons of unpaired samples, i.e. a linear model with one
factor of at least two levels. Good data graphs, modern
statistical methods, and useful displays of results are
emphasized.
R (>= 2.12.0), Hmisc, base, utils, methods, stats, graphics,
grid, lattice, MASS, survival, multcomp, nlme

cg is comprehensive data analysis software, and stands for
"compare groups." Its genesis and evolution are driven by common needs to
compare administrations, conditions, etc. in medicine research &
development. The current version provides comparisons of unpaired
samples, i.e. a linear model with one factor of at least two levels.
Good data graphs, modern statistical methods, and useful displays of
results are emphasized.

cg is comprehensive data analysis software, and stands for
"compare groups." Its genesis and evolution are driven by
common needs to compare administrations, conditions, etc. in
medicine research & development. The current version provides
comparisons of unpaired samples, i.e. a linear model with one
factor of at least two levels.  Good data graphs, modern
statistical methods, and useful displays of results are
emphasized.
R (>= 2.14.0), Hmisc, base, utils, methods, stats, graphics,
grid, lattice, MASS, survival, multcomp, nlme

cg is comprehensive data analysis software, and stands for
"compare groups." Its genesis and evolution are driven by
common needs to compare administrations, conditions, etc. in
medicine research & development. The current version provides
comparisons of both unpaired and paired samples, i.e. a linear
model with one factor of at least two levels, or a paired data.
Good data graphs, modern statistical methods, and useful
displays of results are emphasized.