funplot: Plot functional data with linear interpolation of missing...

In FDboost: Boosting Functional Regression Models

Plot functional data with linear interpolation of missing values

Description

Plot functional data with linear interpolation of missing values

Usage

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.

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.

Value

see matplot

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)))
}

FDboost documentation built on Aug. 12, 2023, 5:13 p.m.