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This function creates lagged choice covariates from the data.frame choice_data, which is assumed to be sorted by the choice occasions.


create_lagged_cov(choice_data, column, k = 1, id = "id")



A data.frame of choice data in wide format, i.e. each row represents one choice occasion.


A character, the column name in choice_data, i.e. the covariate name. Can be a vector.


A positive number, the number of lags (in units of observations), see the details. Can be a vector. The default is k = 1.


A character, the name of the column in choice_data that contains unique identifier for each decision maker. The default is "id".


The input choice_data with the additional columns named column.k for each element column and each number k

containing the lagged covariates.


Say that choice_data contains the column column. Then, the function call

create_lagged_cov(choice_data, column, k, id)

returns the input choice_data which includes a new column named column.k. This column contains for each decider (based on id) and each choice occasion the covariate faced before k choice occasions. If this data point is not available, it is set to NA. In particular, the first k values of column.k will be NA (initial condition problem).


# \donttest{
choice_data <- create_lagged_cov(
  choice_data = choice_berserk,
  column = "lost",
  k = 1,
  id = "player_id"
# }