effect {MLID}

Consider the effect of particular places upon the ID

Description

Evaluates the effect on the index of the named places under three different scenarios.

Usage

effect(object, places)

Arguments

object

an object of class index: a multilevel index created using function id

places

a character vector containing the names of the places in any of the higher-level geographies for which the evaluation will be made

Details

The three different scenarios considered are:

1. if the effects (the estimated residuals from the multilevel model) are set to zero for the named higher-level places;

2. if the shares of the two population groups are equal everywhere except within the named places; and

3. if all but the neighbourhoods within the named places are omitted from the data and the index then recalculated using only those that remain.

The evaluation also includes:

• the impact of the chosen places upon the overall ID, where a value over 100 indicates a group of neighbourhoods with a disproportionately high (in the same way that impacts calculates it)

• an R-squared value. This is the proportion of the total variation in (Y - X) that is due to the chosen places, where (Y - X) are the differences between the share of population group Y and the share of population group X that are observed in each neighbourhood.

See vignette("MLID") for further details

Value

an object, primarily a list containing the evaluated values

See Also

id

Harris R (2017) Fitting a multilevel index of segregation in R: using the MLID package http://rpubs.com/profrichharris/MLID

Examples

## Not run: 
data(aggdata)
index <- id(aggdata, vars = c("Bangladeshi", "WhiteBrit"),
levels = c("MSOA","LAD","RGN"))
ci <- confint(index)
catplot(ci)
# Note Tower Hamlets and Newham. Obtain the predictions for them:
effect(index, "Tower Hamlets")
effect(index, "Newham")
effect(index, c("Tower Hamlets","Newham"))

## End(Not run)