Plot method for check model for (non-)normality of residuals

Source: R/plot.performance_simres.R

The plot() method for the performance::check_residuals() resp. performance::simulate_residuals() function.

# S3 method for class 'see_performance_simres'
plot(
  x,
  linewidth = 0.8,
  size_point = 2,
  size_title = 12,
  size_axis_title = base_size,
  base_size = 10,
  alpha = 0.2,
  alpha_dot = 0.8,
  colors = c("#3aaf85", "#1b6ca8"),
  detrend = FALSE,
  transform = NULL,
  style = theme_lucid,
  ...
)

Arguments

x

An object.

linewidth

Numeric value specifying size of line geoms.

size_point

Numeric specifying size of point-geoms.

base_size, size_axis_title, size_title

Numeric value specifying size of axis and plot titles.

alpha

Numeric value specifying alpha level of the confidence bands.

alpha_dot

Numeric value specifying alpha level of the point geoms.

colors

Character vector of length two, indicating the colors (in hex-format) for points and line.

detrend

Logical that decides if Q-Q and P-P plots should be de-trended (also known as worm plots).

transform

Function to transform the residuals. If NULL (default), no transformation is applied and uniformly distributed residuals are expected. See argument quantileFuntion in ?DHARMa:::residuals.DHARMa for more details.

style

A ggplot2-theme.

...

Arguments passed to or from other methods.

Value

A ggplot2-object.

See also

See also the vignette about check_model().

Examples

data(Salamanders, package = "glmmTMB")
model <- glmmTMB::glmmTMB(
  count ~ mined + spp + (1 | site),
  family = poisson(),
  data = Salamanders
)
simulated_residuals <- performance::simulate_residuals(model)
plot(simulated_residuals)


# or
simulated_residuals <- performance::simulate_residuals(model)
result <- performance::check_residuals(simulated_residuals)
plot(result)