Plot Comparison with Linear Fit and R-squared

Creates a scatter plot to compare two indicators over multiple years, including a linear regression line and a diagonal reference line. The plot is faceted by year, and displays R-squared values for each year to assess the relationship between indicators.

Usage

# S3 method for class 'cd_data'
plot_comparison(
  .data,
  x_var,
  y_var,
  title = NULL,
  x_label = NULL,
  y_label = NULL,
  call = caller_env(),
  ...
)

Arguments

.data

A cd_data object containing merged data for the specified indicators.

x_var

Character. Name of the variable to plot on the x-axis (e.g., 'anc1').

y_var

Character. Name of the variable to plot on the y-axis (e.g., 'penta1').

title

Character. The main title for the plot. Defaults to a title based on x_var and y_var.

x_label

Character. Label for the x-axis. Defaults to the value of x_var.

y_label

Character. Label for the y-axis. Defaults to the value of y_var.

call

The calling environment.

...

Additional arguments for customization, such as size, color, or linetype, for finer control over plot appearance.

Value

A ggplot2 object showing the comparison plot of two indicators with linear regression and R-squared values.

Details

This function calculates R-squared values for each year and displays them in each facet, helping assess the relationship between the two indicators over time. The diagonal reference line is added to aid in visualizing deviations from a perfect 1:1 relationship.

Common indicator comparisons include:

• ANC1 vs PENTA1

• PENTA1 vs PENTA3

• OPV1 vs OPV3

Examples

if (FALSE) { # \dontrun{
  plot_comparison(cd_data, x_var = 'anc1', y_var = 'penta1')
} # }