R/Example_results.R

In reedssorenson/RNAdecay: Maximum Likelihood Decay Modeling of RNA Degradation Data

#' Example double exponential decay modeling results
#'
#' Example results from maximum likelihood modeling of double exponential RNA decay of 118 genes. Results include parameter estimates, selected model, and alpha and beta groupings.
#'
#' @format a data frame with 18 columns and 118 rows.
#'  \describe{
#'     \item{alpha_XXX}{decay rate estimate of genotype XXX, in per time (min^-1)}
#'     \item{beta_XXX}{decay of decay rate estimate of genotype XXX, in per time (min^-1)}
#'     \item{sigma2}{variance estimate}
#'     \item{model}{selected model number}
#'     \item{alpha_grp}{model alpha grouping number }
#'     \item{beta_grp}{model beta grouping number }
#'     \item{alpha_subgroup}{model alpha subgroup number}
#'     \item{alphaPattern}{model alpha subgroup pattern; i.e. order of genotypes of increaseing decay rate}
#'     \item{betaPattern}{model beta subgroup pattern; i.e. order of genotypes of increaseing decay of decay rate}
#'     \item{rA_XXX}{relative alpha value of genotype XXX compared to WT}
#'     \item{nEqMods}{number of models that were not different than the selected model based on a AICc difference <2}
#'     \item{nEqAgp}{number of alpha groups represented in nEqMods}
#'     }
#'
#' @source Sorenson et al. (2017) Submitted; \url{https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE86361}
#'
"results"