tests/testthat/_snaps/create_histogram_plot.md

In deandevl/RplotterPkg: R Plotting Functions Using 'ggplot2'

create_histogram_plot() aes_x

Code
  a_plot <- RplotterPkg::create_histogram_plot(df = RplotterPkg::midwest, aes_x = "Area",
  binwidth = 0.01, x_limits = c(0, 0.11), x_major_breaks = seq(0, 0.11, 0.01),
  title = "Distribution of area", subtitle = "437 counties from midwest dataset",
  x_title = "Area", y_title = "Count", bar_color = "white", bar_lwd = 2,
  bar_fill = "brown", do_coord_flip = TRUE, bar_labels = TRUE, bar_label_size = 4,
  bar_label_color = "blue", rot_y_tic_label = TRUE, silent_NA_warning = TRUE,
  plot_obs = TRUE, plot_obs_color = "darkorange")

create_histogram_plot() aes_x aes_fill aes_color

Code
  a_plot <- RplotterPkg::create_histogram_plot(df = datasets::InsectSprays,
  aes_x = "count", aes_color = "spray", aes_fill = "spray", title = "Counts of Insects from Insecticide Treatments",
  x_title = "Insect Counts", y_title = "Treatment Count", position = "dodge",
  bin_breaks = seq(from = 0, to = 30, by = 5), x_major_breaks = seq(from = 0, to = 30,
    by = 5), y_limits = c(0, 12), y_major_breaks = seq(from = 0, to = 12, by = 2))

deandevl/RplotterPkg documentation built on March 1, 2025, 11:17 a.m.