regression.R

# Helper functions for regression

StoreStableExampleResults <- function(
  package = "airGR",
  path = file.path("tests/tmp", Sys.getenv("R_VERSION"), "stable"),
  ...) {
  install.packages(package, repos = "http://cran.r-project.org")
  StoreExampleResults(package = package, path = path, ...)
}

StoreDevExampleResults <- function(
  package = "airGR",
  path = file.path("tests/tmp", Sys.getenv("R_VERSION"), "dev"),
  ...) {
  StoreExampleResults(package = package, path = path, ...)
}

#' Run examples of a package and store the output variables in RDS files for further testing.
#'
#' @param package Name of the package from which examples are tested.
#' @param path Path where to record the files.
#' @param run.dontrun See \code{\link{example}}.
#' @param run.donttest See \code{\link{example}}.
#'
#' @return
#' @export
#'
#' @examples
StoreExampleResults <- function(package, path, run.dontrun = FALSE, run.donttest = TRUE) {

  # Install and load stable version of the package
  library(package, character.only = TRUE)

  # Get the list of documentation pages
  rd <- unique(readRDS(system.file("help", "aliases.rds", package = package)))

  unlink(path, recursive = TRUE)
  dir.create(path, recursive = TRUE)

  lapply(
    rd,
    StoreTopicResults,
    package, path, run.dontrun = run.dontrun, run.donttest = run.donttest
  )

}

StoreTopicResults <- function(topic, package, path, run.dontrun = TRUE, run.donttest = TRUE) {

  cat("*******************************\n")
  cat("*", topic, "\n")
  cat("*******************************\n")

  par(ask = FALSE) #https://stackoverflow.com/questions/34756905/how-to-turn-off-the-hit-return-to-see-next-plot-prompt-plot3d

  varBefore <- c()
  varBefore <- ls(envir = globalenv())

  start_time = Sys.time()

  example(
    topic, package = package, character.only = TRUE, echo = FALSE, ask = FALSE, local = FALSE, setRNG = TRUE,
    run.dontrun = run.dontrun, run.donttest = run.donttest
  )

  end_time = Sys.time()
  dev.off()

  write.table(data.frame(topic = topic, time = end_time - start_time),
            file.path(path, "timing.csv"),