funData (version 1.3-3)

plot.funData: Plotting univariate functional data

Description

This function plots observations of univariate functional data on their domain.

Usage

plot.funData(x, y, obs = seq_len(nObs(x)), type = "l", lty = 1, lwd = 1,
  col = NULL, xlab = "argvals", ylab = "", legend = TRUE,
  plotNA = FALSE, add = FALSE, ...)
# S4 method for funData,missing
plot(x, y, ...)

Arguments

x

An object of class funData.

y

Missing.

obs

A vector of numerics giving the observations to plot. Defaults to all observations in x. For two-dimensional functions (images) obs must have length 1.

type

The type of plot. Defaults to "l" (line plot). See plot for details.

lty

The line type. Defaults to 1 (solid line). See par for details.

lwd

The line width. Defaults to 1. See par for details.

col

The color of the functions. If not supplied (NULL, default value), one-dimensional functions are plotted in the rainbow palette and two-dimensional functions are plotted using tim.colors from package fields-package.

xlab, ylab

The titles for x- and y-axis. Defaults to "argvals" for the x-axis and no title for the y-axis. See plot for details.

legend

Logical. If TRUE, a color legend is plotted for two-dimensional functions (images). Defaults to TRUE.

plotNA

Logical. If TRUE, missing values are interpolated using the approxNA function (only for one-dimensional functions). Defaults to FALSE.

add

Logical. If TRUE, add to current plot (only for one-dimensional functions). Defaults to FALSE.

...

Additional arguments to matplot (one-dimensional functions) or image.plot/ image (two-dimensional functions).

Warning

The function is currently implemented only for functional data with one- and two-dimensional domains.

Details

If some observations contain missing values (coded via NA), the functions can be interpolated using the option plotNA = TRUE. This option relies on the na.approx function in package zoo and is currently implemented for one-dimensional functions only in the function approxNA.

See Also

'>funData, matplot, image.plot, image

Examples

# NOT RUN {
oldpar <- par(no.readonly = TRUE)

# One-dimensional
argvals <- seq(0,2*pi,0.01)
object <- funData(argvals,
                   outer(seq(0.75, 1.25, length.out = 11), sin(argvals)))

plot(object, main = "One-dimensional functional data")

# Two-dimensional
X <- array(0, dim = c(2, length(argvals), length(argvals)))
X[1,,] <- outer(argvals, argvals, function(x,y){sin((x-pi)^2 + (y-pi)^2)})
X[2,,] <- outer(argvals, argvals, function(x,y){sin(2*x*pi) * cos(2*y*pi)})
object2D <- funData(list(argvals, argvals), X)

plot(object2D, main = "Two-dimensional functional data (obs 1)", obs = 1)
plot(object2D, main = "Two-dimensional functional data (obs 2)", obs = 2)
# }
# NOT RUN {
plot(object2D, main = "Two-dimensional functional data")
# }
# NOT RUN {
 # must specify obs!

# }
# NOT RUN {
### More examples ###
par(mfrow = c(1,1))

# using plotNA
if(requireNamespace("zoo", quietly = TRUE))
{
objectMissing <- funData(1:5, rbind(c(1, NA, 5, 4, 3), c(10, 9, NA, NA, 6)))
par(mfrow = c(1,2))
plot(objectMissing, type = "b", pch = 20, main = "plotNA = FALSE") # the default
plot(objectMissing, type = "b", pch = 20, plotNA = TRUE, main = "plotNA = TRUE") # requires zoo
}

# Changing colors
plot(object, main = "1D functional data in grey", col = "grey")
plot(object, main = "1D functional data in heat.colors", col = heat.colors(nObs(object)))

plot(object2D, main = "2D functional data in topo.colors", obs = 1, col = topo.colors(64))
par(oldpar)
# }