R/six_panels.R

#' Simulated Digital PCR data
#' 
#' Simulated data from array-based digital PCR experiment (see \code{\link{sim_adpcr}}).
#' 
#' @name six_panels
#' @docType data
#' @format An object of class \code{\linkS4class{adpcr}} containing six runs from three 
#' experiments (two runs per each experiment).
#' @examples 
#' #code below was used to create six_panels data set
#' \dontrun{
#' set.seed(1944)
#' adpcr1 <- sim_adpcr(m = 10, n = 765, times = 10000, pos_sums = FALSE, n_panels = 2)
#' adpcr2 <- sim_adpcr(m = 40, n = 765, times = 10000, pos_sums = FALSE, n_panels = 2)
#' adpcr2 <- rename_dpcr(adpcr2, exper = "Experiment2")
#' adpcr3 <- sim_adpcr(m = 100, n = 765, times = 10000, pos_sums = FALSE, n_panels = 2)
#' adpcr3 <- rename_dpcr(adpcr3, exper = "Experiment3")
#' six_panels_example <- bind_dpcr(adpcr1, adpcr2, adpcr3)
#' six_panels_example <- rename_dpcr(six_panels_example, assay = factor(rep(c("Chr4", "MYC"), 3)))
#' }
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dpcR documentation built on May 2, 2019, 7:04 a.m.