addl_expt_attribute <- function(table, column, contents) {
#'Create a new column with additional experimental information.
#'@param table A tibble
#'@param column A character, the new column name
#'@param contents A character, the new column contents
#'@return A tibble with the appended column
#'@examples
#'mod_iris <- addl_expt_attribute(dplyr::as_tibble(iris), "flower_type", "iris")
#'@export
#tests for proper tibble--------------------------------------------------------------------------------------------
checkmate::assert_tibble(table)
#tests that title is a string and not already in the table--------------------------------------------------------------
checkmate::assert(
checkmate::check_character(column),
check_not_col_name(table, column),
combine = "and"
)
#This will add an additional attribute to the table-----------------------------------------------------------------
table <- table %>%
dplyr::mutate(column = contents) %>%
dplyr::rename(!!column := column)
return(table)
}
reorder_samples <- function(table, column, list) {
#'Order the entries in a column so that they are displayed in this order for graphs, rather than alphabetically.
#'@param table A tibble
#'@param column A character, the title of a column of table to be ordered
#'@param list A character list, a list of column entries in the correct order for graphing
#'@return Table is returned with a reordered column stored as a type, factor.
#'@note list is a set of characters in the order they should appear in graphs. All entires in the list must be unique and all values must appear in the list.
#'@export
#tests for proper tibble and column name found within tibble-------------------------------------------------------------------
checkmate::assert_tibble(table, any.missing = FALSE)
checkmate::assert_subset(column, names(table))
#test that the list is equal to unique entries in the column----------------------------------
checkmate::assert(
checkmate::check_character(list, unique = TRUE,
len = length(unique(dplyr::pull(table, column)))),
checkmate::check_subset(list, dplyr::pull(table, column)),
combine = "and"
)
#change column specified from character into a factor type, ordered by list-------------------------------------------
reordered_table <- table %>%
dplyr::ungroup() %>%
dplyr::mutate_at(column, as.factor) %>%
dplyr::mutate(!!column := forcats::fct_relevel(!!rlang::sym(column), list))
return(reordered_table)
}
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