Produces a segregation plot.
Usage
segplot(
  data,
  group,
  unit,
  weight,
  order = "segregation",
  secondary_plot = NULL,
  reference_distribution = NULL,
  bar_space = 0,
  hline = NULL
)Arguments
- data
- A data frame. 
- group
- A categorical variable or a vector of variables contained in - data. Defines the first dimension over which segregation is computed.
- unit
- A categorical variable or a vector of variables contained in - data. Defines the second dimension over which segregation is computed.
- weight
- Numeric. (Default - NULL)
- order
- A character, either "segregation", "entropy", "majority", or "majority_fixed". Affects the ordering of the units. The horizontal ordering of the groups can be changed by using a factor variable for - group. The difference between "majority" and "majority_fixed" is that the former will reorder the groups in such a way that the majority group actually comes first. If you want to control the ordering yourself, use "majority_fixed" and specify the- groupvariable as a factor variable.
- secondary_plot
- If - NULL(default), no secondary plot is drawn. If "segregation", a secondary plot is drawn that shows adjusted local segregation scores for each unit. If "cumulative", a secondary plot is drawn that shows the cumulative contribution of each unit toward the total H (calculated as the proportion of each unit times the adjusted local segregation of each unit)0.
- reference_distribution
- Specifies the reference distribution, given as a two-column data frame, to be plotted on the right. If order is - segregation, then this reference distribution is also used to compute the local segregation scores.
- bar_space
- Specifies space between single units. 
- hline
- Default - NULL. If a color is specified, horizontal lines will be drawn where groups are separated.