decorate.data.frame: Decorate Data Frame

Description

Decorates a data.frame. Expects metadata in yamlet format, and loads it onto columns as attributes.

Usage

# S3 method for data.frame
decorate(
  x,
  meta = NULL,
  ...,
  persistence = getOption("yamlet_persistence", TRUE)
)

Value

class 'decorated' 'data.frame'

Arguments

x: data.frame
meta: file path for corresponding yaml metadata, or a yamlet; an attempt will be made to guess the file path if x has a 'source' attribute
...: passed to decorate.list
persistence: whether to coerce decorated columns to 'dvec' where suitable method exists

Details

As of v0.8.8, the data.frame method for decorate() coerces affected columns using as_dvec if persistence is true and a suitable method exists. 'vctrs' methods are implemented for class dvec to help attributes persist during tidyverse operations. Details are described in c.dvec. Disable this functionality with options(yamlet_persistence = FALSE).

Other interface: canonical.decorated(), classified.data.frame(), decorate.character(), desolve.decorated(), enscript.default(), ggplot.decorated(), io_csv.character(), io_csv.data.frame(), io_res.character(), io_res.decorated(), io_table.character(), io_table.data.frame(), io_yamlet.character(), io_yamlet.data.frame(), is_parseable.default(), mimic.default(), modify.default(), promote.list(), read_yamlet(), resolve.decorated(), selected.default(), write_yamlet()

Other decorate: as_decorated(), as_decorated.default(), decorate(), decorate.character(), decorate.list(), decorate_groups(), decorate_groups.data.frame(), decorations(), decorations.data.frame(), decorations_groups(), decorations_groups.data.frame(), group_by_decorations(), group_by_decorations.data.frame(), redecorate()

Examples

Run this code


# find data path
library(csv)
file <- system.file(package = 'yamlet', 'extdata','quinidine.csv')
file
dat <- as.csv(file) # dat now has 'source' attribute

# use source attribute to find metadata 
a <- decorate(as.csv(file))

# supply metadata path (or something close) explicitly
b <- decorate(dat, meta = file)

# these are equivalent
stopifnot(identical(a, b))