funData 1.3-5
New features
funData 1.3-4
New features
- Function
.intWeights is not external any more, as used in MFPCA package.
- Update Author/Maintainer last name
funData 1.3-3
New features
- Suppress warnings in unit tests with fixed seed caused by changing the default RNG in latest R development version.
funData 1.3-2
New features
- Fixed typo in DESCRIPTION (testthat requires version >= 2.0.0)
funData 1.3-1
New features
- Consequent use of
seq_len(x) instead of 1:x.
- Use of type-safe
vapply instead of sapply, where applicable.
- Standard
ggplot function (package ggplot) as default for (deprecated) generic ggplot.
funData 1.3
New features
- New coercion methods
as.data.frame and funData2fd / fd2funData (for fd objects from fda package).
- New functions
argvals / argvals<- / X / X<- for accessing and setting slot values. The old functions getArgvals / setArgvals / getX / setX are deprecated.
- New functions
autoplot / autolayer for ggplot-type plotting (requires ggplot2, version 3.0.0). The old ggplot function is deprecated.
- Alias functions
subset and "[" for extractObs to achieve better compatibility with R’s standard API.
print.summary is now registered in NAMESPACE.- Minor adjustments in output of
show and str to fit into the standard 80 columns terminal.
- Documentation of
Arith functions with more examples for standard operators
- Fixed some typos in the documentation.
- DESCRIPTION file now contains link to GitHub repo.
funData 1.2
New features
- Basic generics
names, names<- str and summary for all functional data classes.
- S4 generic
norm is now based on function norm in package base (no masking).
- More argument checking for user-facing functions including unit tests.
- Bug fixed for
meanFunction and irregFunData.
funData 1.1
New features
ggplot methods for all functional data classes.- Simulation of univariate functional data on higher-dimensional domains.
- Math functions such as
log() or abs() can be applied to all functional data classes.
- Coercion from
funData to irregFunData class via as.irregFunData (useful e.g. for plotting).
- Scalar product method for multivariate functional data accepts weight vector.
- Unit test coverage is now close to 100%.