| dissent {posterior} | R Documentation |
Dissention
Description
Dissention, for measuring dispersion in draws from ordinal distributions.
Usage
dissent(x)
## Default S3 method:
dissent(x)
## S3 method for class 'rvar'
dissent(x)
Arguments
x |
(multiple options) A vector to be interpreted as draws from an ordinal distribution, such as:
|
Details
Calculates Tastle and Wierman's (2007) dissention measure:
-\sum_{i = 1}^{n} p_i \log_2 \left(1 - \frac{|x_i - \mathrm{E}(x)| }{\max(x) - \min(x)} \right)
This ranges from 0 (all probability in one category) through 0.5 (uniform) to 1 (bimodal: all probability split equally between the first and last category).
Value
If x is a factor or numeric, returns a length-1 numeric vector with a value
between 0 and 1 (inclusive) giving the dissention of x.
If x is an rvar, returns an array of the same shape as x, where each
cell is the dissention of the draws in the corresponding cell of x.
References
William J. Tastle, Mark J. Wierman (2007). Consensus and dissention: A measure of ordinal dispersion. International Journal of Approximate Reasoning. 45(3), 531–545. doi:10.1016/j.ijar.2006.06.024.
Examples
set.seed(1234)
levels <- c("lowest", "low", "neutral", "high", "highest")
# a bimodal distribution: high dissention
x <- ordered(
sample(levels, 4000, replace = TRUE, prob = c(0.45, 0.04, 0.02, 0.04, 0.45)),
levels = levels
)
dissent(x)
# a unimodal distribution: low dissention
y <- ordered(
sample(levels, 4000, replace = TRUE, prob = c(0.95, 0.02, 0.015, 0.01, 0.005)),
levels = levels
)
dissent(y)
# both together, as an rvar
xy <- c(rvar(x), rvar(y))
xy
dissent(xy)