sm-internal {sm} | R Documentation |
Internal sm
functions
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) isInteger(x) isMatrix(x) 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)
These are not to be called by the user.