datplot (version 1.0.0)

datsteps: Create 'steps' of dates for each object in a dataframe

Description

Requires a dataframe with 4 variables: ID (ideally factor), group (ideally factor), minimum date (int/numeric) and maximum date (int/numeric). It's expected that dates BCE are displayed as negative values while dates CE are positive values. Ignoring this will cause problems in any case.

Usage

datsteps(DAT_df, stepsize = 25)

Arguments

DAT_df

a dataframe with 4 variables: ID, group, minimum date (int/num) maximum date (int/num), _must_ be in this order, colnames are irrelevant; each object _must_ be one row.

stepsize

defaults to 5. Number of years that should be used as an interval for creating dating steps.

Value

a larger dataframe with a number of steps for each object as well as a 'weight' value, that is a quantification of how well the object is dated (lesser value means object is dated to larger timespans, i.e. with less confidence)

Examples

# NOT RUN {
DAT_df_steps <- datsteps(DAT_df[1:100, ], stepsize = 25)
plot(density(DAT_df_steps$DAT_step))


# }