ggdensity (version 1.0.0)

method_histogram_1d: Univariate histogram HDR estimator

Description

Function used to specify univariate histogram density estimator for get_hdr_1d() and layer functions (e.g. geom_hdr_rug()).

Usage

method_histogram_1d(bins = NULL)

Arguments

bins

Number of bins. Defaults to normal reference rule (Scott, pg 59).

Details

For more details on the use and implementation of the method_*_1d() functions, see vignette("method", "ggdensity").

References

Scott, David W. Multivariate Density Estimation (2e), Wiley.

Examples

# Histogram estimators can be useful when data has boundary constraints
df <- data.frame(x = rexp(1e3))

# Strip chart to visualize 1-d data
p <- ggplot(df, aes(x)) +
  geom_jitter(aes(y = 0), width = 0, height = 2) +
  scale_y_continuous(name = NULL, breaks = NULL) +
  coord_cartesian(ylim = c(-3, 3))

p

p + geom_hdr_rug(method = method_histogram_1d())

# The resolution of the histogram estimator can be set via `bins`
p + geom_hdr_rug(method = method_histogram_1d(bins = 5))

# Can also be used with `get_hdr_1d()` for numerical summary of HDRs
res <- get_hdr_1d(df$x, method = method_histogram_1d())
str(res)