Forest plot of effect sizes

Convenience wrapper around cr_plot_forest() for the result objects produced by cr_test() and cr_test_all(). Use cr_plot_forest() directly for an effect-size table with its own labelling, facetting or colouring.

Usage

cr_plot_effect_sizes(results, method = "cohens_d", ...)

Arguments

results

A single cr_result, a list of cr_results (from cr_test_all()) or a precomputed tibble with columns treatment, method, estimate, ci_low, ci_high.

method

Effect-size method to plot (default "cohens_d").

...

Further arguments passed to cr_plot_forest(), for example facet_by, colour_by or descending.

Value

A ggplot object.

See also

cr_plot_forest()

Other visualisation: cr_plot_comparison(), cr_plot_dose_response(), cr_plot_foldchange(), cr_plot_heatmap(), cr_plot_histogram(), cr_plot_intensity(), cr_plot_plate(), cr_plot_qc(), cr_plot_roc(), cr_plot_scatter(), cr_plot_spatial(), cr_plot_timeline()

Examples

# \donttest{
exp <- cr_example_experiment(seed = 1, n_cells_per_well = 20)
all_res <- cr_test_all(exp, "marker_1", "Untreated", level = "replicate")
cr_plot_effect_sizes(all_res)

# }