Plot predicted vs. observed water content — plot_pred

Creates a scatter plot of predicted vs. observed theta with a 1:1 line and optional regression line, optionally faceted by a grouping variable.

Usage

plot_pred_obs(
  df,
  obs_col = "theta_n",
  pred_col = "theta_predicted",
  group_col = NULL,
  show_lm = TRUE,
  show_stats = TRUE,
  ncol = 5L,
  base_size = 12,
  point_alpha = 0.25,
  title = NULL
)

Arguments

df: Data frame containing observed and predicted columns.
obs_col: Column name for observed theta (default "theta_n").
pred_col: Column name for predicted theta (default "theta_predicted").
group_col: Column name for facet grouping (default NULL).
show_lm: Logical; add a linear regression line (default TRUE).
show_stats: Logical; add R², RMSE, MAE text annotations (default TRUE).
ncol: Number of facet columns when group_col is supplied (default 5).
base_size: Base font size (default 12).
point_alpha: Point transparency (default 0.25).
title: Plot title (default NULL).

Value

A ggplot object.

Examples

if (FALSE) { # \dontrun{
df_plot <- data.frame(
  theta_n         = c(0.30, 0.25, 0.20, 0.15, 0.10),
  theta_predicted = c(0.28, 0.26, 0.22, 0.14, 0.11)
)
plot_pred_obs(df_plot)
} # }