This function creates a forest plot summarizing a list of contrasts.
forest_plot(
contrasts,
contrast_labels,
contrast_type = "delta2",
effect_size = "mean_diff",
ylabel = "effect size",
title = "Delta Delta Forest",
fontsize = 12,
title_font_size = 16,
violin_kwargs = NULL,
marker_size = 1.1,
ci_line_width = 1.3,
custom_palette = NULL,
rotation_for_xlabels = 0,
alpha_violin_plot = 0.8
)A ggplot object representing the forest plot.
A list of contrast objects. These objects should contain the statistical information for each comparison (e.g., estimates, standard errors).
A list of labels for the contrast objects. E.g., c('Drug1', 'Drug2', 'Drug3') These labels will be used to identify each comparison on the plot.
Select between "delta2" (for delta-delta) or "minimeta" for mini-meta analysis. This determines the type of effect size calculation used in the plot.
Character string specifying the effect size metric to display. Valid options include "mean_diff", "median_diff", "cliffs_delta", "cohens_d", "hedges_g", or "delta_g". The default is "mean_diff".
Character string specifying the axis label for the dependent variable (Y-axis for vertical layout, X-axis for horizontal layout). The default is "value".
Character string specifying the title for the forest plot. The default is "Delta delta Forest".
Font size for text elements in the plot. Default is 12.
Font size for text of plot title. Defaults is 16.
Additional arguments for violin plot customization. Default is NULL
Marker size for plotting mean differences or effect sizes. Default is 20.
Width of confidence interval lines. Default is 2.5.
A list or key:value pair of colors, one for each contrast object. E.g., c('gray', 'blue', 'green') or c('Drug1'='gray', 'Drug2'='blue', 'Drug3'='green'). Default NULL.
Rotation angle for x-axis labels, improving readability. Default is 45.
Transparency level for violin plots. Default is 0.8