Create table on product production and sales

Meant for fisheries, aquaculture, and forestry products.

Usage

other_prod_sales(
  hhold_df,
  product_df,
  cases,
  practice_var,
  practice_val = 1,
  products_var,
  sold_var,
  sold_val = 1,
  amt_sold_vars,
  amt_sold_dk_val,
  group_var,
  table_title
)

Arguments

hhold_df

Data frame. Household-level data.

product_df

Data frame. Product-level data.

cases

Data frame. Case to include in analysis

practice_var

Atomic character vector. Name of ID variable for whether practice production.

practice_val

Atomic numeric vector. Value of practice_var to indicate practicing.

products_var

Atomic character vector. Name of variable for items produced, as it appears in Designer.

sold_var

Atomic character vector. Variable for egg/milk sales.

sold_val

Atomic numeric vector. Value to sold_var to indicate sales.

amt_sold_vars

Character vector. Name variable(s) that capture sales revenue. In some cases, a single variable; in others, one variable for total value, another for unit value.

amt_sold_dk_val

Atomic numeric vector. Value of "do not know" (DK) option for sales revenue.

group_var

Atomic character vector. Name of the grouping variable

table_title

Atomic character vector. Title of the table.

Value

gt table object