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#' The \code{AMR} Package
#'
#' Welcome to the \code{AMR} package. This page gives some additional contact information about the authors.
#' Welcome to the \code{AMR} package.
#' @details
#' This package was intended to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods.
#' \code{AMR} is a free and open-source R package to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with microbial and antimicrobial properties by using evidence-based methods. It supports any table format, including WHONET/EARS-Net data.
#'
#' This package was created for both academic research and routine analysis by PhD students of the Faculty of Medical Sciences of the University of Groningen and the Medical Microbiology & Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG).
#' @section Read more on our website!:
#' \if{html}{\figure{logo.png}{options: height=40px style=margin-bottom:5px} \cr}
#' On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a omprehensive tutorial} about how to conduct AMR analysis and find \href{https://msberends.gitlab.io/AMR/reference}{the complete documentation of all functions}, which reads a lot easier than in R.
#' We created this package for both academic research and routine analysis at the Faculty of Medical Sciences of the University of Groningen and the Medical Microbiology & Infection Prevention (MMBI) department of the University Medical Center Groningen (UMCG). This R package is actively maintained and free software; you can freely use and distribute it for both personal and commercial (but not patent) purposes under the terms of the GNU General Public License version 2.0 (GPL-2), as published by the Free Software Foundation.
#'
#' This package can be used for:
#' \itemize{
#' \item{Calculating antimicrobial resistance}
#' \item{Predicting antimicrobial resistance using regression models}
#' \item{Getting properties for any microorganism (like Gram stain, species, genus or family)}
#' \item{Getting properties for any antibiotic (like name, ATC code, defined daily dose or trade name)}
#' \item{Plotting antimicrobial resistance}
#' \item{Determining first isolates to be used for AMR analysis}
#' \item{Applying EUCAST rules}
#' \item{Determining multi-drug resistance organisms (MDRO)}
#' \item{Descriptive statistics: frequency tables, kurtosis and skewness}
#' }
#' @section Authors:
#' Matthijs S. Berends[1,2] Christian F. Luz[1], Erwin E.A. Hassing[2], Corinna Glasner[1], Alex W. Friedrich[1], Bhanu N.M. Sinha[1] \cr
#'
#' [1] Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands - \url{rug.nl} \url{umcg.nl} \cr
#' [2] Certe Medical Diagnostics & Advice, Groningen, the Netherlands - \url{certe.nl}
#' @section Read more on our website!:
#' \if{html}{\figure{logo.png}{options: height=40px style=margin-bottom:5px} \cr}
#' On our website \url{https://msberends.gitlab.io/AMR} you can find \href{https://msberends.gitlab.io/AMR/articles/AMR.html}{a comprehensive tutorial} about how to conduct AMR analysis, the \href{https://msberends.gitlab.io/AMR/reference}{complete documentation of all functions} (which reads a lot easier than here in R) and \href{https://msberends.gitlab.io/AMR/articles/WHONET.html}{an example analysis using WHONET data}.
#' @section Contact us:
#' For suggestions, comments or questions, please contact us at:
#'