Remove rows by matching values in a specified column

Filters out any rows where the values in col_name appear in to_delete. This function is helpful for when you want to delete information about certain animals by their ID, or certain sensors/transponders/insentec bins.

Usage

delete_rows(df, to_delete, col_name = id_col2())

Arguments

df: A data frame containing a column named col_name.
to_delete: What's the animal ID/transponders that you wish to delete? This should be a vector of values to remove; must have the same data type as df[[col_name]].
col_name: What's the name of the column you wish to filter your data on? This should be a single string giving the name of the column you are interested in. Default is "cow".

Value

A data frame identical to df but with all rows where df[[col_name]] %in% to_delete dropped.

Examples

df <- data.frame(
  cow = c("A", "B", "C"),
  transponder = c("X1", "X2", "X3"),
  Value = 1:3,
  stringsAsFactors = FALSE
)
print(df)
#>   cow transponder Value
#> 1   A          X1     1
#> 2   B          X2     2
#> 3   C          X3     3
# drop data about cows "A" and "C" from the dataframe
delete_rows(df, c("A", "C"), "cow")
#>   cow transponder Value
#> 2   B          X2     2

# drop data recorded by transponder "X2" from the dataframe
delete_rows(df, c("X2"), "transponder")
#>   cow transponder Value
#> 1   A          X1     1
#> 3   C          X3     3