ABC classification function

• For your group variable, abc() will categorize which groups make up what proportion of the totals according to the category_values that you have entered

• The function returns a segment object which prints out the execution steps and actions that it will take to categorize your data

• Use calculate to return the results

Usage

abc(.data, category_values, .value)

Arguments

.data

tibble or dbi object (either grouped or ungrouped)

category_values

vector of break points between 0 and 1

.value

optional: if left blank,abc() will use the number of rows per group to categorize, alternatively you can pass a column name to categorize

Value

segment object

Details

• This function is helpful to understand which groups of make up what proportion of the cumulative contribution

• If you do not provide a .value then it will count the transactions per group, if you provide .value then it will sum() the .value per group

• The function creates a segment object, which pre-processes the data into its components

Examples

abc(sales,c(.1,.5,.7,.96,1),.value=margin)
#> Error: `abc()` expects a grouped tibble or dbi object. Please use `group_by()`
#> to pass a grouped objected