get.histogramscale: Scaling Factor for Combined Histogram Plots

In datplot: Preparation of Object Dating Ranges for Density Plots (Aoristic Analysis)

Scaling Factor for Combined Histogram Plots

Description

Requires a data.frame as produced by [datsteps()] or a number as DAT_df_steps. Calculates the value with which the y-axis of a density graph should be multiplied by in order to be visible in the corresponding histogram.

Usage

get.histogramscale(DAT_df_steps, binwidth = "stepsize")

Arguments

DAT_df_steps	a data.frame as returned by [datsteps()]. (Will also work with a single number and a vector.)
binwidth	the bandwidth to use for the density function and histogram. Should equal the stepsize used to create the data.frame. If a data.frame as returned by [datsteps()] is given, stepsize can be automatically assigned using the corresponding attribute ('binwidth = "stepsize"')

Value

the value with which to scale the density curve to a histogram plot so that both will be visible

Examples

data("Inscr_Bithynia")
DAT_df <- Inscr_Bithynia[, c("ID", "Location", "DAT_min", "DAT_max")]
DAT_df_steps <- datsteps(DAT_df, stepsize = 25)
get.histogramscale(DAT_df_steps)

get.histogramscale(DAT_df_steps$DAT_step, binwidth = 20)
get.histogramscale(500, binwidth = 20)

datplot documentation built on Nov. 19, 2023, 1:09 a.m.