autohrf (version 1.1.3)

plot_best_models: plot_best_models

Description

Plots the best fitted model for each of the specs in autohrf.

Usage

plot_best_models(autofit, ncol = NULL, nrow = NULL)

Value

Plots the grid containing a visualization of the best models for each of the provided constraints.

Arguments

autofit

Output of the autohrf function.

ncol

Number of columns in the plot.

nrow

Number of rows in the plot.

Examples

# prepare model specs
model3 <- data.frame(
  event        = c("encoding", "delay", "response"),
  start_time   = c(0,          2.65,     12.5),
  end_time     = c(3,          12.5,     16)
)

model4 <- data.frame(
  event        = c("fixation", "target", "delay", "response"),
  start_time   = c(0,          2.5,      2.65,    12.5),
  end_time     = c(2.5,        3,        12.5,    15.5)
)

model_constraints <- list(model3, model4)

# run autohrf
df <- flanker
autofit <- autohrf(df, model_constraints, tr = 2.5,
                   population = 2, iter = 2, cores = 1)

# plot best models
plot_best_models(autofit)