Given a matrix of configurations (covariates and responses) unit-by-unit, this function finds the corresponding matrix of distinct configurations and the corresponding vector of frequencies (it does not work properly with missing data).
aggr_data(data, disp=FALSE, fort=FALSE)
Arguments
data: matrix of covariate and unit-by-unit response configurations
disp: to display partial results
fort: to use fortran routines when possible
Returns
data_dis: matrix of distinct configurations
freq: vector of corresponding frequencies
label: the index of each provided response configuration among the distinct ones
Author(s)
Francesco Bartolucci - University of Perugia (IT)
Examples
# draw a matrix of random responses and find distinct responsesX = matrix(sample(5,100,replace=TRUE),50,2)out = aggr_data(X)# find the distinct responses and the corresponding vector of frequencies# for naep datadata(naep)X = as.matrix(naep)out = aggr_data(X)length(out$freq)