entropy {mxfda} | R Documentation |
Entropy
Description
Entropy
Usage
entropy(X, i, j, r_vec, correction)
Arguments
X |
object of class |
i |
ignored |
j |
ignored |
r_vec |
vector of length wanted for breaks (will be rescaled) with max value at max for measuring entropy |
correction |
ignored |
Details
Value
data frame with entropy calculated for length(r_vec)
bins within 0 to max(r_vec)
Author(s)
Thao Vu thao.3.vu@cuanschutz.edu
Alex Soupir alex.soupir@moffitt.org
References
Vu, T., Seal, S., Ghosh, T., Ahmadian, M., Wrobel, J., & Ghosh, D. (2023). FunSpace: A functional and spatial analytic approach to cell imaging data using entropy measures. PLOS Computational Biology, 19(9), e1011490.
Altieri, L., Cocchi, D., & Roli, G. (2018). A new approach to spatial entropy measures. Environmental and ecological statistics, 25, 95-110.
[Package mxfda version 0.2.1 Index]