Plot PMF and CDF for a dist_spec object — plot.dist

This function takes a <dist_spec> object and plots its probability mass function (PMF) and cumulative distribution function (CDF) using {ggplot2}.

Usage

# S3 method for class 'dist_spec'
plot(x, samples = 50L, res = 1, cumulative = TRUE, ...)

Arguments

x: A <dist_spec> object
samples: Integer; Number of samples to generate for distributions with uncertain parameters (default: 50).
res: Numeric; Resolution of the PMF and CDF (default: 1, i.e. integer discretisation).
cumulative: Logical; whether to plot the cumulative distribution in addition to the probability mass function
...: ignored

Examples

# A fixed lognormal distribution with mean 5 and sd 1.
dist1 <- LogNormal(mean = 1.6, sd = 0.5, max = 20)
# Plot discretised distribution with 1 day discretisation window
plot(dist1)

# Plot discretised distribution with 0.01 day discretisation window
plot(dist1, res = 0.01, cumulative = FALSE)


# An uncertain gamma distribution with mean 3 and sd 2
dist2 <- Gamma(
  mean = Normal(3, 0.5), sd = Normal(2, 0.5), max = 20
)
#> Warning: ! Uncertain gamma distribution specified in terms of parameters that are not
#>   the "natural" parameters of the distribution shape and rate.
#> ℹ Converting using a crude and very approximate method that is likely to
#>   produce biased results.
#> ℹ If possible it is preferable to specify the distribution directly in terms of
#>   the natural parameters.
plot(dist2)


# Multiple distributions with 0.1 discretisation window and do not plot the
# cumulative distribution
plot(dist1 + dist2, res = 0.1, cumulative = FALSE)