NEWS

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tidyfun 0.2.0 (2026-07-16)

• Package logo is now man/figures/logo.png (animated PNG) instead of logo.gif, so it is picked up by dynamic HTML help and tools::pkg2HTML() refmans.
• Trajectory plots of tf_mv objects (and all other tf_ggplot() layers) now provide a column .arg with the argument value of each evaluation point, so aes(colour = .arg) colours curve segments by their position along the domain. autoplot()/autolayer() for tf_mv objects gain a colour_by_arg argument for the same purpose.
• New tf_phaseplane() for phase-plane plots (as in fda::phaseplanePlot()): turns a univariate tf into a two-component tf_mv of derivatives (velocity vs. acceleration by default) that can be plotted as a trajectory with tf_ggplot() or autoplot().
• ggplot2 support for multivariate functional data (tf_mv columns, see tf::tfd_mv()): map them with aes(tf = ...) in tf_ggplot(), with type = "facet" (value-vs-arg curves, one panel per output dimension) or type = "trajectory" (planar curves x(t) vs y(t) for 2-component objects).
• New autoplot.tf_mv() and autolayer.tf_mv() methods for quick plots and layers of tf_mv objects.
• New tf_unnest.tf_mv() method returning a "wide" long table with one value column per output dimension: (id, arg, <component 1>, ..., <component d>).
• Behavior change: an explicitly mapped x aesthetic is no longer silently overwritten by tf_y's arg grid, so aes(tf_x = fx, tf_y = fy) now correctly draws planar curves x(t) vs y(t).
• Univariate-only displays (geom_spaghetti()/geom_meatballs(), gglasagna(), geom_fboxplot()) now fail early with an informative error for tf_mv inputs instead of dying with obscure internal errors.

tidyfun 0.1.2 (2026-04-24)

• Rebuilt chf_df with current tf constructors before saving so the packaged dataset no longer carries stale namespace references from pre-tf releases.

tidyfun 0.1.1 (2026-04-13)

• Initial CRAN submission.
• Functional data types (tfd, tfb) as data frame columns via the tf package.
• tidyverse-compatible data wrangling: tf_gather, tf_spread, tf_nest, tf_unnest.
• ggplot2 geoms for functional data: geom_spaghetti, geom_meatballs, geom_capellini, geom_errorband, gglasagna.
• tf_ggplot() for tf-aware ggplot construction with standard geoms.
• Functional boxplots via geom_fboxplot.