qq_plot {FieldSimR}

Q-Q plot

Description

Creates a normal quantile-quantile (Q-Q) plot for a set of effects (e.g., phenotypes, genetic values, or plot errors).

Usage

qq_plot(df, effect, labels = FALSE)

Arguments

df

A data frame with the effects to be plotted.

effect

The name of the effects to be plotted.

labels

When TRUE (default is FALSE), column and row labels are displayed. This requires additional columns 'col' and 'row' in the data frame.

Value

A Q-Q plot with x- and y-axes displaying the theoretical and sample quantiles of the effects, respectively.

Examples

# Q-Q plot of the simulated plot errors in the example data frame 'error_df_bivar'
# for Trait 1 in Environment 1.

error_df <- error_df_bivar[error_df_bivar$env == 1, ]

qq <- qq_plot(
  df = error_df,
  effect = "e.Trait1",
  labels = TRUE
)

# Q-Q plot
qq

# Extract the data frame with the theoretical and sample quantiles of the
# user-defined effects.

qq_df <- qq$data