conflate: Calculate the conflation of multiple distributions pdfs, plot = TRUE, from, to, n, add = FALSE

Usage

conflate(pdfs, plot = TRUE, from, to, n, add = FALSE)

Arguments

pdfs: A vector of calls to density_fun for defininf each individual distribution.
plot: Whether to plot using curve
from, to, n: The appropriate values from and to which to calculate the conflation, and a number of points n. These are the same used by the function curve but are still necessary even if no plot is required.
add: Whether to add the curve to an existing plot.

Value

A data frame with coordinates x-y for the conflated curve.

Details

Produces either a plot or a data frame with the x and y values for the conflated PDF. It uses as input a vector of densities constructed with density_fun, and further parameters to be pased to curve if no plot is desired these are still used for returning a data frame with the x and y values from evaluation the conflated PDF on the sequence of x values determined by a number n of equidistant points between from and to.

Examples

# \donttest{
conflated_normals <- conflate(c("density_fun(x, 'dnorm', mean=0, sd=1)",
                                "density_fun(x, 'dnorm', mean=3, sd=1)"),
                              from=-4, to=4, n=101, plot=FALSE)
plot(conflated_normals)

# }