| plot.stepfun {stats} | R Documentation | 
Method of the generic plot for stepfun
objects and utility for plotting piecewise constant functions.
## S3 method for class 'stepfun'
plot(x, xval, xlim, ylim = range(c(y,Fn.kn)),
     xlab = "x", ylab = "f(x)", main = NULL,
     add = FALSE, verticals = TRUE, do.points = (n < 1000),
     pch = par("pch"), col = par("col"),
     col.points = col, cex.points = par("cex"),
     col.hor = col, col.vert = col,
     lty = par("lty"), lwd = par("lwd"), ...)
## S3 method for class 'stepfun'
lines(x, ...)
x | 
 an R object inheriting from   | 
xval | 
 numeric vector of abscissa values at which to evaluate
  | 
xlim, ylim | 
 limits for the plot region: see
  | 
xlab, ylab | 
 labels for x and y axis.  | 
main | 
 main title.  | 
add | 
 logical; if   | 
verticals | 
 logical;  if   | 
do.points | 
 logical;  if   | 
pch | 
 character; point character if   | 
col | 
 default color of all points and lines.  | 
col.points | 
 character or integer code; color of points if
  | 
cex.points | 
 numeric; character expansion factor if   | 
col.hor | 
 color of horizontal lines.  | 
col.vert | 
 color of vertical lines.  | 
lty, lwd | 
 line type and thickness for all lines.  | 
... | 
A list with two components
t | 
 abscissa (x) values, including the two outermost ones.  | 
y | 
 y values ‘in between’ the   | 
Martin Maechler maechler@stat.math.ethz.ch, 1990, 1993; ported to R, 1997.
ecdf for empirical distribution functions as
special step functions,
approxfun and splinefun.
require(graphics)
y0 <- c(1,2,4,3)
sfun0  <- stepfun(1:3, y0, f = 0)
sfun.2 <- stepfun(1:3, y0, f = .2)
sfun1  <- stepfun(1:3, y0, right = TRUE)
tt <- seq(0,3, by=0.1)
op <- par(mfrow=c(2,2))
plot(sfun0); plot(sfun0, xval=tt, add=TRUE, col.hor="bisque")
plot(sfun.2);plot(sfun.2,xval=tt, add=TRUE, col = "orange")# all colors
plot(sfun1);lines(sfun1, xval=tt, col.hor="coral")
##-- This is  revealing :
plot(sfun0, verticals= FALSE,
     main = "stepfun(x, y0, f=f)  for f = 0, .2, 1")
for(i in 1:3)
  lines(list(sfun0,sfun.2,stepfun(1:3,y0,f = 1))[[i]], col=i)
legend(2.5, 1.9, paste("f =", c(0,0.2,1)), col=1:3, lty=1, y.intersp=1)
par(op)
# Extend and/or restrict 'viewport':
plot(sfun0, xlim = c(0,5), ylim = c(0, 3.5),
     main = "plot(stepfun(*), xlim= . , ylim = .)")
##-- this works too (automatic call to  ecdf(.)):
plot.stepfun(rt(50, df=3), col.vert = "gray20")