R/asum4.R

In metamicrobiomeR: Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI & Random Effects

#' Combined alpha diversity data for meta-analysis.
#'
#' Result outputs of differential analysis of alpha diversity
#' using linear or linear mixed effects model
#' from "alpha.compare" function combined from
#' 4 studies for meta-analysis. The comparison was between gender
#' adjusted for age of infants at sample collection.
#'
#' @docType data
#'
#' @usage data(asum4)
#'
#' @format A dataframe with 16 rows and 18 variables.
#'
#' @keywords datasets
#'
#' @references Subramanian et al. Nature. 2014 Jun 19; 510(7505): 417–421.
#' (\href{https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4189846/}{PubMed})
#'
#' Bender et al. Sci Transl Med. 2016 Jul 27; 8(349): 349ra100.
#' (\href{https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5301310/}{PubMed})
#'
#' Pannaraj et al. JAMA Pediatr. 2017;90095(7):647–54.
#' (\href{https://pubmed.ncbi.nlm.nih.gov/28492938/}{PubMed})
#'
#' Thompson et al. Front Cell Infect Microbiol. 2015;5:3.
#' (\href{https://pubmed.ncbi.nlm.nih.gov/25705611/}{PubMed})
#'
#' @source \href{https://gordonlab.wustl.edu/supplemental-data/supplemental-data-portal/subramanian-et-al-2014/}{Gordon Lab}
#'
#' @examples
#' data(asum4)
"asum4"