Plot conditional effects at moderator levels

Draw point estimates and confidence intervals by categorical group or by the stored low, mean and high levels of a continuous moderator. Each effect is shown in its own panel. Categories are not joined by interpolating lines.

Usage

plot_conditional_effects(
  result,
  paths = NULL,
  type = c("indirect", "paths", "overall"),
  levels = NULL,
  standardized = FALSE,
  engine = c("mc", "boot"),
  labels = NULL,
  title = NULL,
  x_label = NULL,
  y_label = NULL,
  base_size = 12,
  ncol = NULL
)

Arguments

result

A result returned by wsMed().

paths

Optional character vector of effect identifiers, in display order. NULL selects all available effects. Both indirect_1 and indirect_effect_1 are accepted when they identify an available effect.

type

"indirect" for specific indirect effects, "paths" for available conditional path coefficients, or "overall" for total indirect and total effects.

levels

Optional group/level labels to select, in display order. NULL uses their stored order. For continuous W the labels are "-1 SD", "0 SD", "+1 SD"; the axis also displays stored raw W probe values.

standardized

Use standardized results, requested when fitting with standardized = TRUE. No scaling is recomputed from interval endpoints.

engine

For ci_method = "both", select "mc" or "boot". For a single engine its stored results are used.

labels

Optional named character vector mapping effect identifiers to display labels. Partial mappings are allowed.

title

Optional plot title.

x_label, y_label

Optional axis labels.

base_size

Base font size.

ncol

Optional number of facet columns.

Value

A ggplot object with plotted data and a wsmed_plot attribute.

Details

Intervals are the stored percentile conditional intervals, including jointly transformed scales for standardized results. They are individual intervals, not simultaneous confidence intervals.

See also

plot_effects(), plot_contrasts()