hexbin                package:hexbin                R Documentation

_b_i_v_a_r_i_a_t_e _b_i_n_n_i_n_g _i_n_t_o _h_e_x_a_g_o_n _c_e_l_l_s

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

     Creates an list object. Basic components are a cell id and a count
     of points falling in each occupied cell.

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

     hexbin(x, y, xbins=30, shape=1, xbnds=range(x), ybnds=range(y))

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

       x: a vector of numbers.  The first coordinate of bivariate data
          to be binned.

       y: a vector of numbers.  The second coordinate of bivariate data
          to be binned.

   xbins: The number of bins partitioning the range of xbnds.

   shape: The shape=yheight/xwidth of the plotting regions.

   xbnds: The horizontal limits of the binning region in x units.

   ybnds: The  vertical limits of the binning region in y units.

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

     Returns counts for non-empty cells.  The plot shape must be
     maintained for hexagons to appear with equal sides.  Calculations
     are in single precision.

     Note that when plotting with 'plot.hexbin', the plotting
     parameters are changed during the plot and it returns the changed
     'par' parameters, so to utilize the same plot window one must be
     sure to also use these 'par' values for it to work properly.

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

     an object of type hexbin The list structure typically contains the
     following components: 

    cell: A vector of cell ids that can be mapped into the (x,y) bin
          centers in data units.

     cnt: A  vector of counts in the cells.

     xcm: The x center of mass (average of x values) for the cell.

     ycm: The y center of mass (average of y values) for the cell.

   xbins: number of hexagons across the x axis. hexagon inner diameter
          =diff(xbnds)/xbins in x units

   xbnds: x coordinate bounds for binning and plotting

   ybnds: y coordinate bounds for binning and plotting

   shape: plot shape= yheight(inches)/xwidth(inches)

     dim: The i and j limits of cnt treated as a matrix cnt[i,j]

_R_e_f_e_r_e_n_c_e_s:

     Carr, D. B. et al. (1987) "Scatterplot Matrix Techniques for Large
     N", _JASA_ *83*, 398, 424-436.

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

     smooth.hexbin, erode.hexbin, hthin, hcell2xy, hcell, plot.hexbin,
     hboxplot, hdiffplot, hmatplot, hexagons, hex.legend

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

     x <- rnorm(10000)
     y <- rnorm(10000)
     bin <- hexbin(x,y)

     ## Using plot method for hexbin objects:
     plot(bin, style = "nested.lattice")
     # lower resolution binning and overplotting with counts
     bin <- hexbin(x,y,xbins=25)
     screenpar <- plot.hexbin(bin, style="lattice", minarea=1, maxarea=1,
                        density=0, border=TRUE)
     oldpar <- par(screenpar)     # reset graphics to the plot on the screen
     xy <- hcell2xy(bin)
     text(xy$x,xy$y,as.character(bin$cnt),adj=.5,cex=.3)
     points(x,y)       # to show points rather than counts
     par(oldpar)       #reset graphics

