Plot the results of filtering features

After running the run_feature_filter() code, this function will produce two plot detailing the consequences of the filtering. Plot A shows the retained and removed features by their total tube relative abundance contribution, and plot B shows the retained and removed features by the total count of each category. The "zero fractions" shown in plot B are those entirely missing from the given source_mat_id and are thus not going to be retained no matter what the run_filter_feature() parameters are.

Usage

plot_filter_gradient_position(
  qsip_data_object,
  return_type = "combined",
  colors = NULL
)

Arguments

qsip_data_object

(qsip_data)

return_type

(string, default: combined) Changes the return type from a combined plot (combined), list of individual plots (individual) or list of dataframes (dataframe)

colors

(strings) An optional color palette

Value

Combined or individual plots, or the raw dataframes

See also

Other "visualizations": plot_density_outliers(), plot_feature_curves(), plot_sample_curves(), plot_source_wads()