genmodel function

Generating Model Structure

genmodel transforms a data frame into the needed components for our main functions (a y vector, a x matrix and a fes list).

genmodel(
  data,
  dep = NULL,
  indep = NULL,
  fixed = NULL,
  cluster = NULL,
  selectobs = NULL
)

Arguments

• data: A data frame containing all relevant variables.
• dep: A string with the name of the independent variable or a column number.
• indep: A vector with the names or column numbers of the regressors. If left unspecified, all remaining variables (excluding fixed effects) are included in the regressor matrix.
• fixed: A vector with the names or column numbers of factor variables identifying the fixed effects, or a list with the desired interactions between variables in data.
• cluster: Optional. A string with the name of the clustering variable or a column number. It's also possible to input a vector with several variables, in which case the interaction of all of them is taken as the clustering variable.
• selectobs: Optional. A vector indicating which observations to use.

Returns

A list with four elements:

• y: y vector.
• x: x matrix.
• fes: list of fixed effects.
• cluster: cluster vector.