Transfers count data, by counting the duplicated rows.
transfer( r_data )
Arguments
r_data: (nxp) matrix or a data.frame corresponding to the data (n is the sample size and p is the number of variables).
Returns
(n×p+1) matrix of transferred data, in which the last column is the frequency of duplicated rows.
References
Mohammadi, A. and Dobra, A. (2017). The R Package BDgraph for Bayesian Structure Learning in Graphical Models, ISBA Bulletin, 24(4):11-16
Dobra, A. and Mohammadi, R. (2018). Loglinear Model Selection and Human Mobility, Annals of Applied Statistics, 12(2):815-845, tools:::Rd_expr_doi("10.1214/18-AOAS1164")
# Generating multivariate binary data from a 'random' graphdata.sim <- bdgraph.sim( n =12, p =4, size =4, type ="binary")r_data <- data.sim $ data
r_data
# Transfer the datatransfer( r_data )