R/data.quantileNormalize.r

Defines functions data.quantileNormalize

Documented in data.quantileNormalize

#' Quantile normalization of a numerical matrix.
#'
#' Quantile normalization of a numerical matrix.
#' @param x - A data frame object of floating point numbers.
#' @export data.quantileNormalize
#' @examples
#' df.quantileNorm <- data.quantileNormalize(df)
data.quantileNormalize <- function(df){
  df_rank <- apply(df,2,rank,ties.method="min")
  df_sorted <- data.frame(apply(df, 2, sort))
  df_mean <- apply(df_sorted, 1, mean)
  index_to_mean <- function(my_index, my_mean){
    return(my_mean[my_index])
  }
  df_final <- apply(df_rank, 2, index_to_mean, my_mean=df_mean)
  rownames(df_final) <- rownames(df)
  return(df_final)
}
lashmore/MolEndoMatch documentation built on May 5, 2019, 8:02 p.m.