Plot a Functional Data Object With Data
plotfit.fd |
Language Reference for FDA Library
|
Plot a Functional Data Object With Data
DESCRIPTION:
Functional observations are plotted one by one along with the data
used to estimate them, or residuals can be plotted. This function
is useful for assessing how well a functional data object fits
the actual discrete data.
USAGE:
plotfit.fd(y, argvals, fdobj, rng = rangeval,
index = 1:nrep, nfine = 101, residual = F,
sortwrd = F, titles=NULL, ...)
REQUIRED ARGUMENTS:
- y
-
a vector, matrix or array containing the discrete observations used to
estimate the functional data object.
- argvals
-
a vector containing the argument values corresponding to the
first dimension of y.
- fdobj
-
a functional data object estimated from the data.
OPTIONAL ARGUMENTS:
- rng
-
a vector of length 2 specifying a reduced range contained within
the range defined by the functional data object or the arguments.
This is used to examine the fit over a limited segment of the
whole range of it.
- index
-
a set of indices of functions if only a subset of the
observations are to be plotted.
- nfine
-
the number of argument values used to define the plot of the
functional data object. This may need to be increased if
the functions have a great deal of fine detail.
- residual
-
a logical variable:
if
T
, the residuals are plotted rather than the
data and functional data object.
- sortwrd
-
a logical variable:
if
T
, the observations are sorted for
plotting by the size of the sum of squared residuals.
- titles
-
a vector containing strings that are titles for each observation.
- ...
-
additional arguments such as axis labels that may be used
with other
plot
functions.
SEE ALSO:
plot.fd, lines.fd