Plot a bmix object.

Assemble a multi-panel plot using the plotting functions of the Bmix package, with default parameters.

plot.bmix(x, ...)

Arguments

x	An object of class bmix that represents a fit.
...	The ellipsis should contain a data parameter storing the actual data used to compute the fit x.

Value

A cowplot figure.

Examples

# The same dataset used in the package vignette
data = data.frame(successes = c(rbinom(30, 100, .4), rbinom(70, 100, .7)), trials = 100)

# BMix fit with default parameters
x = bmixfit(data)
#> 
#> ── BMix fit ────────────────────────────────────────────────────────────────────
#> 
#> ℹ Binomials k_B = 1 and 2, Beta-Binomials k_BB = 0; 4 fits to run.
#> 
#> ℹ Bmix best fit completed in 0 mins
#> 
#> ── [ BMix ] My BMix model n = 100 with k = 2 component(s) (2 + 0) ──────────────
#> • Clusters: π = 70% [Bin 1] and 30% [Bin 2], with π > 0.
#> • Binomial Bin 1 with mean = 0.698716861000352.
#> • Binomial Bin 2 with mean = 0.394348591828564.
#> ℹ Score (model selection): ICL = 731.74.

# Empty plot
plot(x)
#> Warning: No data given in input, returning empty plot.

# Plot with data
plot(x, data)
#> Warning: Removed 4 rows containing missing values (geom_bar).
#> Warning: Graphs cannot be horizontally aligned unless the axis parameter is set. Placing graphs unaligned.