#--------------------------------------------------------------------
# RULETABLE READ FUNCTION: READ RULETABLE DATA AS MATE DATA
#--------------------------------------------------------------------
#' @title Read file of rule table without ID number
#' @description Read table of additivity rule and adds column with id number.
#' @param R_without_id Path to a file containing data of additivity rule.
#' @return A dataframe of additivity rule ("ID, Left_side, Right_side")
#' @importFrom utils read.csv
#' @examples
#' \dontrun{
#' mipplot_read_ruletab("filename")
#' }
#' @export mipplot_read_ruletab
mipplot_read_ruletab <- function(R_without_id) {
R_without_id <- read.csv(R_without_id, stringsAsFactors = FALSE)
# Stop when input data is not data.frame.
if (!("data.frame" %in% class(R_without_id)))
stop("Input data is not data.frame class")
# Stop when input data has no rows.
if (nrow(R_without_id) == 0)
stop("Input data must contain one or more rows.")
# Check if input data has required columns.
if (!all(c("Left_side", "Right_side") %in% colnames(R_without_id)))
stop("Input data must contains columns Left_side and Right_side.")
R_without_id$Rule_ID <- rep(0, dim(R_without_id)[1])
current_ID <- 0
for (i in 1:dim(R_without_id)[1]) {
if (R_without_id$Left_side[i] != "") {
current_ID <- current_ID + 1
}
R_without_id$Rule_ID[i] <- current_ID
}
# If the dataframe includes column of Color_code,
# the result of this function includes the column.
if ("Color_code" %in% colnames(R_without_id)) {
R_with_id <- R_without_id[, c("Rule_ID", "Left_side", "Right_side", "Color_code")]
} else {
R_with_id <- R_without_id[, c("Rule_ID", "Left_side", "Right_side")]
}
return(R_with_id)
}
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