funplot function

Plot functional data with linear interpolation of missing values

funplot(x, y, id = NULL, rug = TRUE, ...)

Arguments

• x: optional, time-vector for plotting
• y: matrix of functional data with functions in rows and measured times in columns; or vector or functional observations, in this case id has to be specified
• id: defaults to NULL for y matrix, is id-variables for y in long format
• rug: logical. Should rugs be plotted? Defaults to TRUE.
• ...: further arguments passed to matplot.

Returns

see matplot

Details

All observations are marked by a small cross (pch=3). Missing values are imputed by linear interpolation. Parts that are interpolated are plotted by dotted lines, parts with non-missing values as solid lines.

Examples

### examples for regular data in wide format
data(viscosity)
with(viscosity, funplot(timeAll, visAll, pch=20))
if(require(fda)){
  with(fda::growth, funplot(age, t(hgtm)))
}