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, ...)
     britmap()
     change(th, ph)
     circle(r)
     cv(x, h, ...)
     hidplot(invis, theta, phi)
     incphi(ph, inc)
     inctheta(th, inc)
     isInteger(x)
     isMatrix(x)
     normdens.band(x, h, weights = rep(1, length(x)), options = list())
     p.quad.moment(A, Sigma, tobs, ndevs)
     smplot.regression(x, y, design.mat, h, r, model, weights, rawdata = list(),
         options = list(), ...)
     plot2(latitude2, longitude2, theta, phi)
     plot2d(d, f, theta, phi)
     replace.na(List, comp, value)
     sj(x, h)
     sm.check.data(x, y = NA, weights = NA, group = NA, ...)
     sm.density.1d(x, h = hnorm(x, weights), model = "none", weights,
        rawdata = list(x = x), options = list())
     sm.density.2d(X, h = hnorm(X, weights), weights = rep(1, length(x)),
        rawdata = list(), options = list())
     sm.density.3d(x, h = hnorm(x, weights),  weights = rep(1, length(x)), 
        rawdata = list(), options = list())
     sm.density.eval.1d(x, h, weights = rep(1, n), options = list())
     sm.density.eval.2d(x, y, h, xnew, ynew, eval.type = "points",
        weights = rep(1, n), options = list())
     sm.density.positive.1d(x, h, weights, options = list())
     sm.density.positive.2d(X, h = c(hnorm(log(X[, 1] + delta[1]), weights),
        hnorm(log(X[,2] + delta[2]), weights)), eval.type = "points",
        weights = rep(1, nrow(X)), options = list())
     sm.density.positive.grid(X, h = c(hnorm(log(X[, 1] + delta[1])),
        hnorm(log(X[, 2] + delta[2]))), weights=NA, options=list())
     sm.glm(x, y, family, h, eval.points, start, offset, options=list())
     sm.imageplot(x, y, h, weights, rawdata, options = list())
     sm.persplot(x, y, h = hnorm(cbind(x, y), weights), weights, rawdata = list(),
         options = list())
     sm.regression.1d(x, y, h, design.mat = NA, model = "none",
         weights = rep(1, length(x)), rawdata, options = list())
     sm.regression.2d(x, y, h, model = "none", weights = rep(1, length(y)), rawdata,
         options = list())
     sm.regression.eval.1d(x, y, design.mat, h, model = "none",
         weights = rep(1, length(x)), rawdata, options = list())
     sm.regression.eval.2d (x, y, h, model, eval.points, hull = TRUE,
         weights, options = list())
     sm.regression.test(x, y, design.mat = NA, h, model = "no.effect",
         weights = rep(1,length(y)), rawdata, options = list())
     sm.sigweight(x, weights)
     sm.sliceplot(x, y, h, weights, rawdata = list(), options = list())
     sm.weight(x, eval.points, h, cross = FALSE, weights = rep(1, length(x)), 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())
     wmean(x, w)
     wvar(x, w)

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

     These are not to be called by the user.

