Proportion of missing data at baseline — margot_prop

This function calculates the proportion of missing data at a baseline wave. If a wave column is present, it uses the lowest number or lowest factor level as the baseline. If no wave column is found, it issues a warning and uses the entire dataset.

Usage

margot_prop_missing(data, wave_col = "wave")

Arguments

data: A data frame containing the dataset.
wave_col: A character string. Name of the column that indicates the wave. The default is "wave".

Value

A numeric value representing the proportion of missing data at the baseline wave.

Examples

# Example using a dataset with a wave column
# assume dat_long_amelia_log has a column called wave
margot_prop_missing(dat_long_amelia_log)
#> Error: object 'dat_long_amelia_log' not found

# Example using a dataset without a wave column
# assume some_data is a dataset with no wave column
margot_prop_missing(some_data)
#> Error: object 'some_data' not found