Generate a Histogram for a numeric
or integer
variable.
Source: R/histogram-continuous.R
histogram_continuous.Rd
Generate a histogram for a numeric
or integer
variable. This graph is intended to quickly provide
the researcher with a quick, yet thorough representation of the continuous variable. The additional annotations may not
be desired for publication-quality plots.
Usage
histogram_continuous(
d_observed,
variable_name,
bin_width = NULL,
main_title = base::gsub("_", " ", variable_name, perl = TRUE),
sub_title = NULL,
caption = paste0("each bin is ", scales::comma(bin_width), " units wide"),
x_title = variable_name,
y_title = "Frequency",
x_axis_format = scales::comma_format(),
rounded_digits = 0L,
font_base_size = 12
)
Arguments
- d_observed
The
data.frame
with the variable to graph.- variable_name
The name of the variable to graph.
character
.- bin_width
The width of the histogram bins. If NULL, the
ggplot2
default is used.numeric
.- main_title
The desired title on top of the graph. Defaults to
variable_name
, with underscores replaced with spaces. If no title is desired, pass a value ofNULL
.character
.- sub_title
The desired subtitle near the top of the graph. Defaults to
NULL
If no subtitle is desired, pass a value ofNULL
.character
.The desired text in the bottom-right, below the axis. Defaults to the
bin_width
. If no caption is desired, pass a value ofNULL
.character
.- x_title
The desired title on the x-axis. Defaults to the
variable_name
. If no axis title is desired, pass a value ofNULL
.character
.- y_title
The desired title on the y-axis. Defaults to “Frequency”. If no axis title is desired, pass a value of
NULL
.character
.- x_axis_format
How the x-axis digits are formatted. Defaults to
scales::comma_format()
.scale format
.- rounded_digits
The number of decimals to show for the mean and median annotations.
character
.- font_base_size
Sets font size through ggplot2's theme.
Examples
library(datasets)
#Don't run graphs on a headless machine without any the basic graphics packages installed.
if (require(grDevices)) {
# Simple Case
histogram_continuous(
d_observed = beaver1,
variable_name = "temp",
bin_width = .1,
rounded_digits = 2
)
# Variable has no nonmissing values
histogram_continuous(
d_observed = beaver1[integer(0), ],
variable_name = "temp",
bin_width = .1,
rounded_digits = 2
)
# Adjust cosmetics of histogram
histogram_continuous(
d_observed = beaver1,
variable_name = "temp",
bin_width = .1,
rounded_digits = 2,
x_axis_format = scales::comma_format(),
y_title = "Count of 10-min Measurements"
)
}