tidyfun

tidyfun makes data wrangling and exploratory analysis of functional data easier.

tidyfun provides:

• new data types for representing functional data
• arithmetic operators, descriptive statistics and graphics functions for such data
• tidyverse-verbs for handling functional data inside data frames.

Look here for an introduction with examples.

Installation

devtools::install_github("fabian-s/tidyfun")

What does it do?

New vector-like data types for functional data

tidyfun provides new S3-classes for functional data, either as raw data (class tfd for tidy functional data) or in basis representation (class tfb for tidy functional basis data).

Such tf-objects can be subsetted or subassigned, computed on and summarized.

Almost all

• operators like ==, + or *
• math functions like sum, log or abs
• and statistics functions like mean or sd

are defined for tidyfun's data structures (more).

The tf objects are basically glorified lists, so they work well as columns in data frames. That makes it a lot easier to keep your other data and functional measurements together in one object for preprocessing, exploratory analysis and description.

At the same time, these objects actually behave like vectors of functions to some extent, i.e., they can be evaluated on any point in their domain, they can be integrated or differentiated, etc.

tidyverse verbs for dealing with functional data inside data frames

All dplyr verbs work on tf-columns, so you can filter, mutate, summarize etc functional data pretty much like conventional data. tidyfun also provides tf_gather & tf_spread, tf_nest & tf_unnest in order to reshape tables with functional data, i.e., go from wide to narrow, or from long to short, and vice versa (see here).

New ggplot2 geoms and stats for functional data

tidyfun defines pasta-themed geoms for functional data:

• geom_spaghetti for lines,
• geom_meatballs for (lines &) points,
• gglasagna for lasagna plots, with an order-aesthetic to sort the lasagna layers,
• geom_capellini for glyphs plots (i.e., sparklines),

as well as new methods for plot, lines and points for quick and easy visualizations of functional data (more).

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Found a bug? Got a question? Missing some functionality? Please let us know so we can make it better.