plot package:graphics R Documentation _G_e_n_e_r_i_c _X-_Y _P_l_o_t_t_i_n_g _D_e_s_c_r_i_p_t_i_o_n: Generic function for plotting of R objects. For more details about the graphical parameter arguments, see 'par'. _U_s_a_g_e: plot(x, y, ...) _A_r_g_u_m_e_n_t_s: x: the coordinates of points in the plot. Alternatively, a single plotting structure, function or _any R object with a 'plot' method_ can be provided. y: the y coordinates of points in the plot, _optional_ if 'x' is an appropriate structure. ...: Arguments to be passed to methods, such as graphical parameters (see 'par'). Many methods will accept the following arguments: '_t_y_p_e' what type of plot should be drawn. Possible types are * '"p"' for *p*oints, * '"l"' for *l*ines, * '"b"' for *b*oth, * '"c"' for the lines part alone of '"b"', * '"o"' for both '*o*verplotted', * '"h"' for '*h*istogram' like (or 'high-density') vertical lines, * '"s"' for stair *s*teps, * '"S"' for other *s*teps, see 'Details' below, * '"n"' for no plotting. All other 'type's give a warning or an error; using, e.g., 'type = "punkte"' being equivalent to 'type = "p"' for S compatibility. Note that some methods, e.g. 'plot.factor', do not accept this. '_m_a_i_n' an overall title for the plot: see 'title'. '_s_u_b' a sub title for the plot: see 'title'. '_x_l_a_b' a title for the x axis: see 'title'. '_y_l_a_b' a title for the y axis: see 'title'. '_a_s_p' the y/x aspect ratio, see 'plot.window'. _D_e_t_a_i_l_s: For simple scatter plots, 'plot.default' will be used. However, there are 'plot' methods for many R objects, including 'function's, 'data.frame's, 'density' objects, etc. Use 'methods(plot)' and the documentation for these. The two step types differ in their x-y preference: Going from (x1,y1) to (x2,y2) with x1 < x2, 'type = "s"' moves first horizontal, then vertical, whereas 'type = "S"' moves the other way around. _S_e_e _A_l_s_o: 'plot.default', 'plot.formula' and other methods; 'points', 'lines', 'par'. _E_x_a_m_p_l_e_s: require(stats) plot(cars) lines(lowess(cars)) plot(sin, -pi, 2*pi) ## Discrete Distribution Plot: plot(table(rpois(100,5)), type = "h", col = "red", lwd=10, main="rpois(100,lambda=5)") ## Simple quantiles/ECDF, see ecdf() {library(stats)} for a better one: plot(x <- sort(rnorm(47)), type = "s", main = "plot(x, type = \"s\")") points(x, cex = .5, col = "dark red")