Packaged: Tue Dec 18 17:03:52 2007; Peter Solymos

Packaged: Fri Jan  4 17:39:54 2008; Peter Solymos

Packaged: Mon Feb 11 11:15:06 2008; Peter Solymos

Packaged: Tue Nov 20 21:36:09 2007; hornik

Title: Multivariate count data handling in ecology and biogeography
Description: R package for multivariate count data handling in ecology and biogeography. The name 'mefa' stands for the term 'metafaunistics' indicating that data handling is the most critical and sometimes most time consuming part of data analysis. The package contains object classes and functions to manipulate basic biotic (sample/species/count or crosstabulated) count data and relational attribute tables for samples and species. Functions can handle segments within the count data and samples with zero count. Reports are generated in plain text or LaTeX format.
Packaged: Sat Mar 15 00:08:06 2008; Peter Solymos

Description: R package for multivariate count data handling in ecology and biogeography. The name 'mefa' stands for the term 'metafaunistics' indicating that data handling is the most critical and sometimes most time consuming part of data analysis. The package contains object classes and functions to manipulate basic biotic (sample/species/count or crosstabulated) count data and relational attribute tables for samples and species. Functions can handle segments (eg. life stages, gender) within the count data and samples with zero count. Reports are generated in plain text or LaTeX format.
Packaged: Fri Jun 13 05:26:55 2008; theussl

Packaged: Sat Sep 20 20:47:01 2008; psolymos

Title: Multivariate Count Data Handling in Ecology and Biogeography
Description: Object classes for long (database style, object class 'stcs') and wide (crosstabulated, object class 'mefa') representations of count data coded by sample, taxon and segment (i.e. sub populations, repeated measures) names. Supports easy processing of the count data along with relational data tables for samples and taxa. An object of class 'mefa' is a project specific compendium of the data and can be easily used in further analyses. Methods are provided for extraction, aggregation, conversion, plotting, summary and reporting of 'mefa' objects. Reports can be generated in plain text or LaTeX format.
Packaged: Mon Sep 29 20:16:34 2008; psolymos