simple_plot: Function to generate conditional regression equation plots...

In rblimp: Integration of 'Blimp' Software into R

Function to generate conditional regression equation plots (i.e., simple effects) with rblimp and SIMPLE command

Description

Generates a conditional effect plots based on the posterior summaries from the output of rblimp.

Usage

simple_plot(formula, model, ci = 0.95, xvals, ...)

Arguments

formula	an object of class formula to specify simple effect to plot. The formula must have the following form: outcome ~ focal | moderator. See Details below for nominal moderators.
model	an blimp_obj. The model must have a SIMPLE command output saved.
ci	a value between 0 and 1 specifying the credible interval size
xvals	a list of values to evaluate for the focal variable. If empty, they will automatically be determined
...	arguments passed to the internal ggplot2::geom_line call used to generate the median lines.

Details

To change colors use ggplot2's scale system. Both fill and color are used. See ggplot2::aes_colour_fill_alpha for more information about setting a manual set of colors.

For nominal moderators, the variable must include the nominal code used in the dummy codes (e.g., moderator.1, moderator.2, etc). When there are multiple dummy codes, then all codes must be listed using a +. For example, after the ~ the following statement can be included:

\code{focal | moderator.1 + moderator.2}

Value

a ggplot2::ggplot plot

Examples

# Generate Data
mydata <- rblimp_sim(
    c(
        'x ~ normal(0, 1)',
        'm ~ normal(0, 1)',
        'y ~ normal(10 + 0.5*x + m + 0.2*x*m, 1)'
    ),
    n = 100,
    seed = 981273
)

# Run Rblimp
m1 <- rblimp(
    'y ~ x m x*m',
    mydata,
    center = ~ m,
    simple = 'x | m',
    seed = 10972,
    burn = 1000,
    iter = 1000
)

# Generate Plot
simple_plot(y ~ x | m, m1)

rblimp documentation built on May 18, 2026, 9:07 a.m.