Check for and remove empty variables from dataset. Empty variables are
columns in the data that contain all NAs and/or empty strings.
Usage
empty_vars_filter(dat, project, remove = FALSE)
Arguments
- dat
Primary data containing information on hauls or trips.
Table in the FishSET database contains the string 'MainDataTable'.
- project
String, name of project.
- remove
Logical, whether to remove empty variables. Defaults to FALSE.
Value
Returns the dataset with empty variables removed if remove = TRUE.
Details
Function checks for empty variables and prints an outcome message to
the console. If empty variables are present and remove = TRUE, then
empty variables will be removed from the dataset. Empty variables are
columns in the dataset that contain all NAs or empty strings.
Examples
if (FALSE) {
# check for empty vars
empty_vars_filter(pollockMainDataTable)
# remove empty vars from data
mod.dat <- empty_vars_filter(pollockMainDataTable, 'pollock', remove = TRUE)
}
