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Plot the output of an ANOVA or mixed model

Source: R/plot_model.R
plot_model.Rd

Plots the means for the main effects and interactions in a model made with the afex package (aov_ez, aov_car, aov_4 or mixed), and shows the post hoc contrasts. It also prints the model summary, and the estimated means and contrasts for each effect, and saves them to a text file.

Usage

plot_model(
  mod,
  outp = "analysis",
  error_type = "SE",
  posthocs = T,
  plot_conditions = NULL,
  ...
)

Arguments

mod

A model from the afex package.

outp

Name of the folder in which to save the plots (pdf) and the results (a text file); it is created if it does not exist. Set to NULL or "" to save nothing.

error_type

The error bars: "SE" for standard errors (the default), "CL" for confidence limits, or "none".

posthocs

Not currently used. (The post hoc results are always shown.)

plot_conditions

Which effects to plot, as a list or vector of text, eg c("cond1", "cond1:cond2"). By default all the main effects and the interaction (if there are two factors) are plotted.

...

Further arguments passed on to pirateye().

Value

A list with the model_summary, and for each effect plotted, the estimated means (means_<effect>) and the plot (plot_<effect>).

Details

For interactions of two factors, the first factor named is shown in colour and the second along the x axis. The post hoc p-values (shown above the x axis) compare the levels of the first factor at each level of the second. The p-value of the effect from the model is shown in the title.

The plots are drawn with pirateye(), and you can pass any of its arguments to change them.

See also

pirateye()

Examples

if (FALSE) { # \dontrun{
anv <- afex::aov_ez(data = iat_data, id = "pid", dv = "rt",
                    between = "firstblock", within = "congruency",
                    fun_aggregate = mean)
res <- plot_model(anv, outp = NULL)
res$plot_congruency
} # }