sm-internal                package:sm                R Documentation

_I_n_t_e_r_n_a_l _s_m _f_u_n_c_t_i_o_n_s

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

     Internal `sm' functions

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

     addplot(d, f, theta, phi)
     attach.frame(data, name, ...)
     box1.(theta = pi/6, phi = pi/6, sc, col = par("col"), axes.lim = sc)
     box2(theta = pi/6, phi = pi/6, sc, labels = c("", "", ""),
         col = par("col"), cex = 9/10, axes.lim = sc)
     britmap()
     change(th, ph)
     circle(r)
     coord2(x, y, z, theta, phi, sc)
     hidplot(invis, theta, phi)
     incphi(ph, inc)
     inctheta(th, inc)
     normdens.band(x, h, weights = rep(1, length(x)), options = list())
     np.contour.plot.3d.(coord, data = matrix(), shadow = TRUE, gridsize = 20,
         numpts = 3, xmin = NA, xmax = NA, ymin = NA, ymax = NA, zmin = NA,
         zmax = NA, xlab = NA, ylab = NA, zlab = NA, theta = pi/4,
         phi = pi/4, colour = FALSE, title.colour = 3, label.colour = 3,
         axes.colour = 6, plot.colour = "blue", shadow.colour = "cyan",
         cex = NA)
     p.quad.moment(A, Sigma, tobs, ndevs)
     plot.regression(x, y, design.mat, h, r, model, weights, rawdata = list(),
         options = list())
     plot2(latitude2, longitude2, theta, phi)
     plot2d(d, f, theta, phi)
     print.graph(file, ...)
     replace.na(List, comp, value)
     sm.glm(x, y, family, h, eval.points, start, offset)
     sm.imageplot(x, y, h, weights, rawdata, options = list())
     sm.persplot(x, y, h = hnorm(cbind(x, y), weights), weights, rawdata = list(),
         options = opt)
     sm.sigma(x, y, rawdata, weights = rep(1, length(y)), diff.ord = 2)
     sm.sigweight(x, weights = rep(1, length(x)), ...)
     sm.sliceplot(x, y, h, weights, rawdata = list(), options = list())
     sm.weight(x, eval.points, h, cross = FALSE, weights = rep(1, n), options)
     sm.weight2(x, eval.points, h, cross = FALSE, weights = rep(1, nrow(x)),
         options = list())
     smplot.density(x, h, weights = rep(1, length(x)), rawdata = list(x = x),
         options = list())
     type(descr = "", x, digits = 4)
     wmean(x, w)
     wvar(x, w)

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

     These are not to be called by the user.

