Description Usage Arguments Details Value See Also Examples
Evaluates the effect on the index of the named places
under three
different scenarios.
1 | effect(object, places)
|
object |
an object of class |
places |
a character vector containing the names of the places in any of the higher-level geographies for which the evaluation will be made |
The three different scenarios considered are:
if the effects (the estimated residuals from the multilevel
model) are set to zero for the named higher-level places
;
if the shares of the two population groups are equal everywhere
except within the named places
; and
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
an object, primarily a list containing the evaluated values
Harris R (2017) Fitting a multilevel index of segregation in R: using the MLID package http://rpubs.com/profrichharris/MLID
1 2 3 4 5 6 7 8 9 10 11 12 | ## 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)
|
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