PCA scatter layer — geom

Adds a PCA plot as a list of ggplot layers: the point layer, PC axis labels with variance contribution when available, unified discrete population colour scale when `pop` is present, and the tidyplot-style ggpop theme from `theme_tidyplot()`. `geom_pca()` is the ggplot extension path paired with direct `plot_pca()`.

Usage

geom_pca(mapping = ggplot2::aes(x = .data$pc1, y = .data$pc2),
  data = NULL, ..., pc_x = 1, pc_y = 2, base_size = 11,
  base_family = "", palette = NULL, pop_group = TRUE, size = 2.16,
  alpha = 0.9, na.rm = FALSE, show.legend = NA, inherit.aes = TRUE)

Arguments

mapping: Aesthetic mapping. Defaults to PC1 and PC2.
data: Optional layer data.
...: Additional parameters passed to `geom_point()`.
pc_x: Principal component index for x.
pc_y: Principal component index for y.
base_size: Base font size for the tidyplot-style ggpop theme.
base_family: Base font family for the tidyplot-style ggpop theme.
palette: Discrete ggpop palette name or hex vector for population colours.
pop_group: Use imported `pop` metadata for population colours when available.
size, alpha: Point size and transparency. Defaults match `plot_pca()`.
na.rm: Remove missing values.
show.legend: Legend display.
inherit.aes: Inherit plot aesthetics.