plotfit.fd {fda} | R Documentation |
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.
plotfit.fd(x, argvals, fdobj, rng = rangeval, index = 1:nrep, nfine = 101, residual = FALSE, sortwrd = FALSE, titles=NULL, ...)
x |
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. |
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 TRUE , the residuals are plotted rather than the
data and functional data object.
|
sortwrd |
a logical variable:
if TRUE , 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.
|
plot.fd, lines.fd