This function visualizes the proportion of missing data or reporting rate for
specified variables in a dataset. It creates a tile plot using
ggplot2; where the x-axis can
represent any categorical time such as time (e.g., year, month), and the
y-axis can represents either variables or groupings (e.g., state). The
output can further be manipulated to one's needs.
Arguments
- data
A data frame containing the data to be visualized. Must include columns specified in 'x_var', 'y_var', and 'vars'.
- x_var
A character string specifying the time variable in 'data' (e.g., "year", "month"). Must be provided.
- y_var
An optional character string specifying the grouping variable in 'data' (e.g., "state"). If provided, only one variable can be specified in 'vars'.
- miss_vars
An optional character vector specifying the variables to be visualized in 'data'. If NULL, all variables except 'x_var' and 'y_var' will be used.
- use_rep_rate
A logical value. If TRUE, the reporting rate is visualized; otherwise, the proportion of missing data is visualized. Defaults to FALSE
Examples
# get path
path <- system.file(
"extdata",
"fake_epi_df_togo.rds",
package = "epiCleanr")
fake_epi_df_togo <- import(path)
# Check misisng data by year
result <- missing_plot(fake_epi_df_togo,
x_var = "year", use_rep_rate = FALSE)