Proportion of missing data at baseline

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
dat_long <- data.frame(wave = c(0, 0, 1), outcome = c(1, NA, 3))
margot_prop_missing(dat_long)
#> [1] 0.25

# Example using a dataset without a wave column
some_data <- data.frame(outcome = c(1, NA, 3))
margot_prop_missing(some_data)
#> Warning: No wave column found. Using entire dataset.
#> [1] 0.333