Calculate the entropy feature or metric for a gray-level co-occurrence matrix. For definition and application, see Lofstedt et al. (2019) doi:10.1371/journal.pone.0212110 .
entropy(x, ...)
# S3 method for default
entropy(x, ...)
# S3 method for matrix
entropy(x, ...)
# S3 method for FitLandDF
entropy(x, nlevels, ...)gray-level co-occurrence matrix
additional parameters
desired number of discrete gray levels
entropy metric of x
## calculate entropy of arbitrary GLCM
# define arbitrary GLCM
x <- matrix(1:16, nrow = 4)
# normalize
n_x <- normalize_glcm(x)
# calculate entropy
entropy(n_x)
#> [1] 2.607126
## calculate entropy of arbitrary fitness landscape
# create fitness landscape using FitLandDF object
vals <- runif(64)
vals <- array(vals, dim = rep(4, 3))
my_landscape <- fitscape::FitLandDF(vals)
# calculate entropy of fitness landscape, assuming 2 discrete gray levels
entropy(my_landscape, nlevels = 2)
#> [1] 1.385416
## confirm value of entropy for fitness landscape
# extract normalized GLCM from fitness landscape
my_glcm <- get_comatrix(my_landscape, discrete = equal_discrete(2))
# calculate entropy of extracted GLCM
entropy(my_glcm) # should match value of above entropy function call
#> [1] 1.385416