R/sample.R

In tidyfst: Tidy Verbs for Fast Data Manipulation

#' @title Sample rows randomly from a table
#' @description Select a number or proportion of rows randomly from the data frame
#' @param .data A data.frame
#' @param n Number of rows to select
#' @param prop Fraction of rows to select
#' @param size 	For \code{sample_n_dt}, the number of rows to select.
#' For \code{sample_frac_dt}, the fraction of rows to select.
#' @param replace Sample with or without replacement? Default uses \code{FALSE}.
#' @param by (Optional) Character. Specify if you want to sample by group.
#' @description \code{sample_dt} is a merged version of \code{sample_n_dt} and
#' \code{sample_frac_dt}, this could be convenient.
#' @return data.table
#' @seealso \code{\link[dplyr]{sample_n}},\code{\link[dplyr]{sample_frac}}
#' @examples
#' sample_n_dt(mtcars, 10)
#' sample_n_dt(mtcars, 50, replace = TRUE)
#' sample_frac_dt(mtcars, 0.1)
#' sample_frac_dt(mtcars, 1.5, replace = TRUE)
#'
#'
#' sample_dt(mtcars,n=10)
#' sample_dt(mtcars,prop = 0.1)
#'
#'
#' # sample by group(s)
#' iris %>% sample_n_dt(2,by = "Species")
#' iris %>% sample_frac_dt(.1,by = "Species")
#'
#' mtcars %>% sample_n_dt(1,by = c("cyl","vs"))


#' @rdname sample
#' @export
sample_dt = function(.data,n = NULL,prop = NULL,replace = FALSE,by = NULL){
  dt = as_dt(.data)
  if(is.null(n) & !is.null(prop))
    sample_frac_dt(dt,size = prop,replace = replace,by = by)
  else if(!is.null(n) & is.null(prop))
    sample_n_dt(dt,size = n,replace = replace,by = by)
  else stop("Both or none of `n` and `prop` are provided!")
}

#' @rdname sample
#' @export
#'
sample_n_dt = function(.data,size,replace = FALSE,by = NULL){
  dt = as_dt(.data)
  by_char = substitute(by) %>% deparse()
  if(by_char == "NULL"){
    if(size > nrow(.data) & replace == FALSE) stop("Sample size is too large.")
    index = sample(nrow(dt),size = size,replace = replace)
    dt[index]
  }else{
    dt[,.SD[sample(.N,size = size,replace = replace)],by]
  }
}



#' @rdname sample
#' @export
sample_frac_dt = function(.data,size,replace = FALSE,by = NULL){
  dt = as_dt(.data)
  if(!between(size,0,1) & replace == FALSE) stop("The fraction is invalid.")
  size = trunc(nrow(dt) * size)
  sample_n_dt(.data = .data,size = size,replace = replace,by = by)
}