The Dissimilarity Index can be interpreted as the share of Group A
visits that would need to be redistributed across media for the share of
group A to be uniform across websites.
Usage
dissimilarity_index(grp_a, grp_b)
Arguments
- grp_a
vector (usually corresponds to a column in a webtrack
data frame) indicating the number of individuals of group A using a website
- grp_b
vector (usually corresponds to a column in a webtrack
data frame) indicating the number of individuals of group B using a website
References
Cutler, David M., Edward L. Glaeser, and Jacob L. Vigdor. "The rise and decline of the American ghetto." Journal of political economy 107.3 (1999): 455-506.
Examples
# perfect dissimilarity
grp_a <- c(5, 5, 0, 0)
grp_b <- c(0, 0, 5, 5)
dissimilarity_index(grp_a, grp_b)
#> [1] 1
# no dissimilarity
grp_a <- c(5, 5, 5, 5)
grp_b <- c(5, 5, 5, 5)
dissimilarity_index(grp_a, grp_b)
#> [1] 0
