Checks If Two or More Species Delimitation Outputs are (Nearly) Equal

check_delim() checks if two or more species delimitation outputs have differences in its dimensions, labels, and values.

Usage

check_delim(list)

Arguments

list: a list containing two or more species delimitation outputs to check.

Value

A single logical value, TRUE or FALSE.

Details

check_delim() will check if two or more species delimitation outputs have different dimensions (rows, columns), if labels are the same or if there are any duplicated or absent labels, and if there are any NA values or if partitions were set using non numeric values. Each table is compared against the first table in list. Any of the cases listed above triggers a cli::cli_warn() describing the issue, and check_delim() returns FALSE. If none of the cases are found for any pairwise comparison, check_delim() returns TRUE.

Author

Pedro S. Bittencourt, Rupert A. Collins, Tomas Hrbek.

Examples


# create dummy delimitation outputs
delim_1 <- tibble::tibble(
  labels = paste0("seq", 1:10),
  method_A = c(rep(1, 5), rep(2, 5))
)

delim_2 <- tibble::tibble(
  labels = paste0("seq", 1:10),
  method_B = c(rep(1, 3), rep(2, 2), rep(3, 5))
)

delim_3 <- tibble::tibble(
  labels = paste0("seq", 1:10),
  method_C = c(rep(1, 3), rep(2, 2), rep(3, 3), rep(4, 2))
)

# check outputs
check_delim(list(delim_1, delim_2, delim_3))
#> Checking species delimitation tables...
#> Checking table 1 against table 2...
#> Checking table 1 against table 3...
#> Checking table 1 against table 3...
#> ✔ Checking complete! All tables are consistent.
#> Checking table 1 against table 3...

#> Checking table 1 against table 3...
#> [1] TRUE