R/utils.R

In hrbrmstr/worldtilegrid: A ggplot2 Geom for World Tile Grids

# Name ggplot grid object
# Convenience function to name grid objects
#
# @keyword internal
ggname <- function(prefix, grob) {
  grob$name <- grid::grobName(grob, prefix)
  grob
}


.sb_invert <- function(hex_color, dark_color="black", light_color="white",
                       na_color="white") {

  hex_color <- gsub("#", "", hex_color)

  R <- suppressWarnings(as.integer(paste("0x", substr(hex_color,1,2), sep="")))
  G <- suppressWarnings(as.integer(paste("0x", substr(hex_color,3,4), sep="")))
  B <- suppressWarnings(as.integer(paste("0x", substr(hex_color,5,6), sep="")))

  YIQ <- ((R*299) + (G*587) + (B*114)) / 1000

  return(
    ifelse(is.na(YIQ), na_color,
      ifelse(
        YIQ >= 128, dark_color, light_color)
      )
    )
}

# sanity checks for country values
validate_countries <- function(country_data, country_col, merge.x, ignore_dups=FALSE) {

  good_ccs <- country_data[[country_col]] %in% wtg[[merge.x]]

  if (any(!good_ccs)) {
    invalid <- country_data[[country_col]][which(!good_ccs)]
    country_data <- country_data[which(good_ccs),]
    warning(sprintf("Found invalid country values: %s", paste0(invalid, collapse=", ")))
  }

  if (!ignore_dups) {
    dups <- duplicated(country_data[,country_col])
    if (any(dups)) {
      country_data <- country_data[which(!dups),]
      warning("Removing duplicate country rows")
    }
  }

  return(country_data)

}


"%||%" <- function(a, b) { if (!is.null(a)) a else b }

.pt <- 2.84527559055118