latticeParseFormula package:lattice R Documentation _P_a_r_s_e _T_r_e_l_l_i_s _f_o_r_m_u_l_a _D_e_s_c_r_i_p_t_i_o_n: this function is used by high level Lattice functions like 'xyplot' to parse the formula argument and evaluate various components of the data. _U_s_a_g_e: latticeParseFormula(model, data, dimension = 2, subset = TRUE, groups = NULL, multiple, outer, subscripts, drop) _A_r_g_u_m_e_n_t_s: model: the model/formula to be parsed. This can be in either of two possible forms, one for 2d and one for 3d formulas, determined by the 'dimension' argument. The 2d formulas are of the form 'y ~ x| g1 * ... *gn', and the 3d formulas are of the form 'z ~ x * y | g1 * ...* gn'. In the first form, 'y' may be omitted. The conditioning variables 'g1, ...,gn' can be omitted in either case. data: the environment/dataset where the variables in the formula are evaluated. dimension: dimension of the model, see above subset: index for choosing a subset of the data frame groups: the grouping variable, if present multiple, outer: logicals, determining how a '+' in the y and x components of the formula are processed. See 'xyplot' for details subscripts: logical, whether subscripts are to be calculated drop: logical or list, similar to the 'drop.unused.levels' argument in 'xyplot', indicating whether unused levels of conditioning factors and data variables that are factors are to be dropped. _V_a_l_u_e: returns a list with several components, including 'left, right, left.name, right.name, condition' for 2-D, and 'left, right.x, right.y, left.name, right.x.name, right.y.name, condition' for 3-D. Other possible components are groups, subscr _A_u_t_h_o_r(_s): Saikat DebRoy, Deepayan Sarkar Deepayan.Sarkar@R-project.org _S_e_e _A_l_s_o: 'xyplot', 'Lattice'