curve                package:graphics                R Documentation

_D_r_a_w _F_u_n_c_t_i_o_n _P_l_o_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     Draws a curve corresponding to the given function or expression
     (in 'x') over the interval '[from,to]'.

_U_s_a_g_e:

     curve(expr, from, to, n = 101, add = FALSE, type = "l",
           ylab = NULL, log = NULL, xlim = NULL, ...)

     ## S3 method for class 'function':
     plot(x, from = 0, to = 1, xlim = NULL, ...)

_A_r_g_u_m_e_n_t_s:

    expr: an expression written as a function of 'x', or alternatively
          the name of a function which will be plotted.

       x: a 'vectorizing' numeric R function.

 from,to: the range over which the function will be plotted.

       n: integer; the number of x values at which to evaluate.

     add: logical; if 'TRUE' add to already existing plot.

    xlim: numeric of length 2; if specified, it serves as default for
          'c(from, to)'.

    type: plot type: see 'plot.default'.

ylab, log, ...: labels and graphical parameters can also be specified
          as arguments. 'plot.function' passes all these to 'curve'.

_D_e_t_a_i_l_s:

     The evaluation of 'expr' is at 'n' points equally spaced over the
     range '[from, to]', possibly adapted to log scale.  The points
     determined in this way are then joined with straight lines. 'x(t)'
     or 'expr' (with 'x' inside) must return a numeric of the same
     length as the argument 't' or 'x'.

     If 'add = TRUE', 'c(from,to)' default to 'xlim' which defaults to
     the current x-limits.  Further, 'log' is taken from the current
     plot when 'add' is true.

     This used to be a quick hack which now seems to serve a useful
     purpose, but can give bad results for functions which are not
     smooth.

     For "expensive" 'expr'essions, you should use smarter tools.

_S_e_e _A_l_s_o:

     'splinefun' for spline interpolation, 'lines'.

_E_x_a_m_p_l_e_s:

     op <- par(mfrow=c(2,2))
     curve(x^3-3*x, -2, 2)
     curve(x^2-2, add = TRUE, col = "violet")

     plot(cos, xlim = c(-pi,3*pi), n = 1001, col = "blue")

     chippy <- function(x) sin(cos(x)*exp(-x/2))
     curve(chippy, -8, 7, n=2001)
     curve(chippy, -8, -5)

     for(ll in c("","x","y","xy"))
        curve(log(1+x), 1,100, log=ll, sub=paste("log= '",ll,"'",sep=""))
     par(op)

