FieldSimR (version 1.4.0)

plot_hist: Histogram of values

Description

Creates a histogram of user-defined values (e.g., effects, correlations, or covariances).

Usage

plot_hist(df, value = NULL, bins = 30, density = FALSE)

Value

A histogram with x- and y-axes displaying the values and their frequency, respectively. When density = TRUE, a density curve is superimposed onto the histogram.

Arguments

df

A data frame or vector with the values to be plotted.

value

The name of the values to be plotted. Ignored when 'df' is a vector.

bins

Argument passed to ggplot2 (default is 30). Controls the number of bins in the histogram.

density

When TRUE (default is FALSE), a density curve is superimposed onto the histogram.

Examples

# Histogram 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, ]
plot_hist(
  df = error_df,
  value = "e.Trait1",
  density = TRUE
)