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

Description Usage Arguments Details Examples

Description

Plot functional data with linear interpolation of missing values

Usage

1
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.

Examples

1
2
3
4
5
6
7
8
9
## Not run: 
### 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)))
}

## End(Not run)


Search within the FDboost package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.