grid1                 package:mclust                 R Documentation

_G_e_n_e_r_a_t_e _g_r_i_d _p_o_i_n_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     Generate grid points in one or two dimensions.

_U_s_a_g_e:

     grid1(n, range = c(0, 1), edge = TRUE)
     grid2(x, y)

_A_r_g_u_m_e_n_t_s:

       n: Number of grid points.

   range: Range of grid points.

    edge: Logical: include edges or not?

    x, y: Vectors.

_V_a_l_u_e:

     The value returned is simple: 'grid1' generates a vector; 'grid2'
     generates a matrix.

_A_u_t_h_o_r(_s):

     C. Fraley

_S_e_e _A_l_s_o:

     'lansing', 'dens'

_E_x_a_m_p_l_e_s:

     data(lansing)
     maples <- lansing[as.character(lansing[,"species"]) == "maple", -3]
     maplesBIC <- EMclust(maples)
     maplesModel <- summary(maplesBIC, maples)
     x <- grid1(100, range=c(0,1))
     y <- x
     xyDens <- do.call("dens", c(list(data=grid2(x, y)), maplesModel))
     xyDens <- matrix(xyDens, ncol=100)
     contour(xyDens)
     points(maples, cex=.2, col="red")

     image(xyDens)
     points(maples, cex=.5)

