Compare Two Correlated C Indices with Right-Censored Survival
Outcome

Do a Git Style Diff of the Rows Between Two Dataframes with
Similar Structure
person("Alex", "Joseph", email = "alexsanjoseph@gmail.com", role = c("aut", "cre"))
Compares two dataframes which have the same column
structure to show the rows that have changed. Also gives a git style diff format
to quickly see what has changes in addition to summary statistics.

Compares two dataframes which have the same column
structure to show the rows that have changed. Also gives a git style diff format
to quickly see what has changed in addition to summary statistics.

R (>= 2.11.0), xtable, Hmisc, gdata, tcltk, foreign
This package is meant to facilitate the construction of
bivariate table (descriptives of several variables between
groups) and generate reports in LaTeX or (CSV) plain text.
Also, it includes a graphical interface to build these tables
more easily.

R (>= 2.13.1), xtable, Hmisc, gdata, survival, oce, tcltk2,
epitools
This package is meant to facilitate the construction of
bivariate table (descriptives of several variables between
groups) and generate reports in LaTeX, HTML or (CSV) plain
text.  Also, it includes a graphical interface (GUI) to build
these tables more easily.

R (>= 2.13.1), xtable, Hmisc, gdata, survival, oce, epitools

R (>= 2.13.1), Hmisc, xtable, gdata, SNPassoc
Isaac Subirana, Joan Vila, Héctor Sanz, Gavin Lucas, Judith Peñafiel
and David Giménez
A package designed to read, interpret, summarise, display and
analyse epidemiological data. Can be used to create data summaries for
quality control, extensive reports for exploring data, including
publication-ready univariate or bivariate tables in plain text HTML and
LaTeX, and a figures to quickly visualise the distribution of your data.
Depending on the nature of the variable, various statistics are
calculated (mean, median, frequencies, incidences) and appropriate
tests are performed (t-test, Analysis of variance, Kruskal-Wallis, Fisher,
log-rank, ...). The latest version includes functionality for summarising
genetic data, and for performing low-level quality control of your database
(see radiograph()) to help identify data-entry errors. This version has
also been implemented in a web-interface to make this package accessible
to non-R-users (see www.comparegroups.eu).