Model the effect of principal components axes on taxa richness.

make_effort_mod_pca(
  df,
  env_prcomp,
  context = "cell",
  threshold_lo = 0.05/2,
  threshold_hi = 0.05/2,
  effort_col = "qsize",
  effort_thresh = 3 * 3,
  out_file = NULL,
  ...
)

Arguments

df: Dataframe. Cleaned data specifying context.
env_prcomp: Output from env_pca.
context: Character. Column names that define context, usually a 'visit' to a 'cell'.
threshold_lo, threshold_hi: Numeric between 0 and 1 specifying the threshold above/below which richness is excessively above or below 'normal' and should be filtered.
effort_col: Character (or NULL). Name of column with some measure of effort. If NULL, all contexts will be used.
effort_thresh: Numeric. effort_col (if used) will be filtered below this threshold.
out_file: Character. Optional path to save output.
...: Passed to rstanarm::stan_glm().

Value

List of model outputs.