Generate a forest plot for effective reproduction number (Rt)

This function generates a forest plot for the effective reproduction number (Rt) using the provided data frame.

Usage

forest_plot_rt(df, ulim = 10, reorder_studies = TRUE, ...)

Arguments

df: The data frame containing the necessary data for generating the forest plot.
ulim: The upper limit for the x-axis of the plot. Default is 10.
reorder_studies: Logical. If TRUE, the studies will be reordered using the reorder_studies function. Default is TRUE.
...: Additional arguments to be passed to the forest_plot function.

Value

A ggplot2 object representing the forest plot for effective reproduction number (Rt).

Examples

df <- load_epidata("ebola")[["params"]]
#> ℹ ebola does not have any extracted outbreaks 
#> information. Outbreaks will be set to NULL.
#> Rows: 107 Columns: 2
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ";"
#> chr (2): parameter_type_short, parameter_type_full
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> ✔ Data loaded for ebola
forest_plot_rt(df)
#> Warning: Removed 24 rows containing missing values or values outside the scale range
#> (`geom_point()`).