This package is 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).

R (>= 2.13.1), Hmisc, xtable, gdata, HardyWeinberg

R (>= 2.13.1), Hmisc, gdata, xtable, SNPassoc
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.

This package is 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.