Generate a histogram plot — cont

cont_hist_list is a vectorized version of cont_hist. pm_histogram is a generic histogram function that is called by other functions in pmplots.

Usage

cont_hist(
  df,
  x,
  xs = defx(),
  y = "count",
  add_density = y == "density",
  add_layers = TRUE,
  ...
)

cont_hist_list(df, x, ...)

pm_histogram(
  ...,
  col = opts$histogram.col,
  fill = opts$histogram.fill,
  alpha = opts$histogram.alpha
)

Arguments

df: the data frame containing plotting data.
x: the x column for ggplot2::geom_histogram().
xs: a list of information for the x axis.
y: what to use for the y-axis on the histogram; can be "count" or "density".
add_density: if TRUE, a normal density line will be plotted over the histogram using add_density().
add_layers: extra layers will be added only if TRUE.
...: passed to ggplot2::geom_histogram() and add_density().
col: a character value passed to ggplot2::geom_histogram().
fill: a character value passed to ggplot2::geom_histogram().
alpha: a numeric value passed to ggplot2::geom_histogram().

Value

A single plot.

Examples


data <- data.frame(WT = rnorm(1000,80,20))

cont_hist(data, x = "WT//Weight (kg)")
#> `stat_bin()` using `bins = 30`. Pick better value `binwidth`.