fx_factor: fx_factor: A simple, downsized alternative for arbitrary...

In sflippl/tectr: User Interface for Complex Datasets

Description

Often, objects of a large size repeating themselves need to be stored in a data frame. fx_factor provides a simple framework to work with these objects in a space-saving manner - at least until the modeling and visualization.

Usage

fx_factor(x, levels = unique(x))

as_fx_factor(x_int, levels)

is_fx_factor(x)

## S3 replacement method for class 'fx_factor'
levels(x) <- value

## Default S3 method:
fx_evaluate(x)

## S3 method for class 'fx_factor'
fx_evaluate(x)

## S3 method for class 'data.frame'
fx_evaluate(x)

## S3 method for class 'metaframe'
fx_evaluate(x)

## S3 method for class 'fx_factor'
x[i]

## S3 method for class 'fx_factor'
x[[i]]

Arguments

x	a vector or a list
levels	a set of possible, unique objects that may occur in x
x_int	an integer vector referring to the levels

Details

Levels inference is more complicated for arbitrary classes. Requiring identical() may be too much (e. g. identical(ggplot2::geom_point(), ggplot2::geom_point())) whereas match() (matching) might be too lax (e. g. match(list(ggplot2::geom_point()), list(ggplot2::geom_point(stat = "log10"))). If in doubt, using as_fx_factor is recommended and fx_factor will return an error if encoding and decoding changes the result according to identical (with the argument ignore.environment = TRUE).

Also, all elements of x must occur in levels.

sflippl/tectr documentation built on May 6, 2019, 8:51 a.m.