RecordsToFrequencies {cmm} | R Documentation |
RecordsToFrequencies
Description
Converts Records (units x variables) into a frequency vector.
Usage
RecordsToFrequencies(dat, var = varDefault, dim = dimDefault, augment = "all",
seed = FALSE)
Arguments
dat |
matrix or dataframe containing the scores of units (rows) on categorical variables (columns) |
var |
character or numeric vector containing variables. By default, all variables are selected. |
dim |
numeric vector indicating the dimension of |
augment |
augmentation: determines the type of frequency vector. Select one of four options:
|
seed |
integer. As |
Value
matrix
Author(s)
W. P. Bergsma w.p.bergsma@lse.ac.uk and L. A. van der Ark L.A.vanderArk@uva.nl
References
Van der Ark, L. A., Bergsma, W. P., & Koopman L. (2023) Maximum augmented empirical likelihood estimation of categorical marginal models for large sparse contingency tables. Paper submitted for publication.
See Also
Examples
data(acl)
dat <- acl[, 1:2] + 1 # select 2 items from ACL
var <- 1 : ncol(dat) # define the variables
marg <- Margins(var, c(0, 1)) # margins are total (0) and 1st order
dim <- rep(5, length(var))
t(RecordsToFrequencies(dat, var, dim, "obs")) # frequency vector with observed cells
t(RecordsToFrequencies(dat, var, dim, "1k")) # frequency vector with observed and