Updated master to SVN trunk revision 572

R/GCAT/man/gcat.Rd

@@ -1,30 +1,20 @@
+% Generated by roxygen2 (4.1.1): do not edit by hand
+% Please edit documentation in R/GCAT.main.R
+\docType{package}
 \name{GCAT}
 \alias{GCAT}
-\title{
-Growth Curve Analysis Tool
-}
+\alias{GCAT-package}
+\title{GCAT: Growth Curve Analysis Tool}
 \description{
 Mathematical modeling and parameter estimation of high volume microbial growth data.
 }
 \details{
-GCAT utilizes the \code{\link{nls}} function in the R base package to fit logistic and Richards models to
-growth curve data. Input is in .csv format and analysis is accessed using \code{\link{gcat.analysis.main}}
-or \code{\link{gcat.fit.main}}. Output is in .txt and .pdf format, and is accessed using \code{\link{gcat.analysis.main}}
-or \code{\link{gcat.output.main}}.
+GCAT input is in .csv format.  GCAT analysis is accessed using \code{\link{gcat.analysis.main}}
 
-\tabular{ll}{
-Version: \tab 5.0\cr
-Depends: \tab pheatmap, gplots\cr
-License: \tab LGPL-3\cr
-Date: \tab 2014-02-10\cr
+ GCAT utilizes the \code{\link[stats]{nls}} function in the R stats package to fit logistic, Gompertz and Richards models to growth curve
+ data. Best model is selected automatically.  Alternatively, the user may choose LOESS local regression fits, implemented using
+ \code{\link[stats]{loess}} function in the R stats package
+
+ Internally, the data are stored in an array of \linkS4class{well} objects
 }
 
-}
-\author{
-Jason Shao\cr
-Nate DiPiazza\cr
-Yury Bukhman\cr
-Minh Bui\cr
-
-Maintainer: Yury Bukhman
-}