Function used to specify bivariate normal density estimator
for get_hdr() and layer functions (e.g. geom_hdr()).
Details
For more details on the use and implementation of the method_*() functions,
see vignette("method", "ggdensity").
Examples
# Normal estimator is useful when an assumption of normality is appropriate
set.seed(1)
df <- data.frame(x = rnorm(1e3), y = rnorm(1e3))
ggplot(df, aes(x, y)) +
geom_hdr(method = method_mvnorm(), xlim = c(-4, 4), ylim = c(-4, 4)) +
geom_point(size = 1)
# Can also be used with `get_hdr()` for numerical summary of HDRs
res <- get_hdr(df, method = method_mvnorm())
str(res)
#> List of 3
#> $ df_est:'data.frame': 10000 obs. of 5 variables:
#> ..$ x : num [1:10000] -3.01 -2.94 -2.87 -2.8 -2.73 ...
#> ..$ y : num [1:10000] -3.25 -3.25 -3.25 -3.25 -3.25 ...
#> ..$ fhat : num [1:10000] 1.87e-05 2.25e-05 2.71e-05 3.25e-05 3.87e-05 ...
#> ..$ fhat_discretized: num [1:10000] 8.97e-08 1.08e-07 1.30e-07 1.56e-07 1.86e-07 ...
#> ..$ hdr : num [1:10000] 1 1 1 1 1 1 1 1 1 1 ...
#> $ breaks: Named num [1:5] 0.00188 0.00776 0.02996 0.07397 Inf
#> ..- attr(*, "names")= chr [1:5] "99%" "95%" "80%" "50%" ...
#> $ data :'data.frame': 1000 obs. of 3 variables:
#> ..$ x : num [1:1000] -0.626 0.184 -0.836 1.595 0.33 ...
#> ..$ y : num [1:1000] 1.135 1.1119 -0.8708 0.2107 0.0694 ...
#> ..$ hdr_membership: num [1:1000] 0.8 0.5 0.5 0.8 0.5 0.8 0.5 0.95 0.8 0.5 ...