imagesc                package:matlab                R Documentation

_M_A_T_L_A_B _i_m_a_g_e_s_c _f_u_n_c_t_i_o_n

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

     Scales image data to the full range of the current palette and
     displays the image.

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

     imagesc(x = seq(ncol(C)), y = seq(nrow(C)), C, col = jet.colors(12), ...)

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

     x,y: locations of grid lines at which the values in 'C' are
          measured. These must be finite, non-missing and in (strictly)
          ascending order. By default, the dimensions of 'C' are used.

       C: numeric matrix representing data to be plotted. Note that 'x'
          can be used instead of 'C' for convenience.

     col: vector of colors used to display image data

     ...: graphical parameters for image may also be passed as
          arguments to this method

_D_e_t_a_i_l_s:

     Each element of 'C' corresponds to a rectangular area in the
     image. The values of the elements of 'C' are indices into the
     current palette that determine the color of each patch.

     The method interprets the matrix data as a table of 'f(x[i],
     y[j])' values, so that the x axis corresponds to column number and
     the y axis to row number, with row 1 at the top, i.e., the same as
     the conventional printed layout of a matrix.

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

     P. Roebuck, roebuck@mdanderson.org

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

     'image', 'jet.colors', 'par'

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

     values <- matrix(c(seq(1,  5, by = 1),
                        seq(2, 10, by = 2),
                        seq(3, 15, by = 3)), nrow = 3, byrow = TRUE)
     imagesc(values, xlab = "cols", ylab = "rows", col = jet.colors(16))

