plot.basisfd: Plot a Basis Object

Description

Plots all the basis functions.

Usage

# S3 method for basisfd
plot(x, knots=TRUE, axes=NULL, ...)

Arguments

a basis object

knots

logical: If TRUE and x[['type']] == 'bslpine', the knot locations are plotted using vertical dotted, red lines. Ignored otherwise.

axes

Either a logical or a list or NULL.

logical whether axes should be drawn on the plot
list a list used to create custom axes used to create axes via do.call(x$axes[[1]], x$axes[-1]). The primary example of this uses list("axesIntervals", ...), e.g., with Fourier bases to create CanadianWeather plots

…

additional plotting parameters passed to matplot.

Value

none

Side Effects

a plot of the basis functions

Examples

Run this code

# NOT RUN {
##
## 1.  b-spline
##
# set up the b-spline basis for the lip data, using 23 basis functions,
#   order 4 (cubic), and equally spaced knots.
#  There will be 23 - 4 = 19 interior knots at 0.05, ..., 0.95
lipbasis <- create.bspline.basis(c(0,1), 23)
# plot the basis functions
plot(lipbasis)

##
## 2.  Fourier basis
##
yearbasis3 <- create.fourier.basis(c(0,365),
                    axes=list("axesIntervals") )
#  plot the basis
plot(yearbasis3)

##
## 3.  With Date and POSIXct rangeval
##
# Date
July4.1776 <- as.Date('1776-07-04')
Apr30.1789 <- as.Date('1789-04-30')
AmRev <- c(July4.1776, Apr30.1789)
BspRevolution <- create.bspline.basis(AmRev)
plot(BspRevolution)

# POSIXct
July4.1776ct <- as.POSIXct1970('1776-07-04')
Apr30.1789ct <- as.POSIXct1970('1789-04-30')
AmRev.ct <- c(July4.1776ct, Apr30.1789ct)
BspRev.ct <- create.bspline.basis(AmRev.ct)
plot(BspRev.ct)

# }