ggready: Prepare Data for GGplot

In yamlet: Versatile Curation of Table Metadata

Prepare Data for GGplot

Description

Prepares data for ggplot. Generic, with methods for data.frame, and decorated.

Usage

ggready(x, ...)

Arguments

x	object
...	passed arguments

Value

see methods

See Also

Other ggready: ggready.data.frame(), ggready.decorated()

Examples

file <- system.file(package = 'yamlet', 'extdata','quinidine.csv')
x <- decorate(file)
decorations(x, Weight)
decorations(as.data.frame(x), Weight) # downgrade still has attributes
class(x)
class(ggready(as.data.frame(x)))
class(ggready(x))
class(ggready(resolve(x)))
x <- ggready(x)
library(magrittr)
library(ggplot2)

# Here we filter on-the-fly
# without loss of attributes.
# Notice mg/L rendering; this is actually part of an expression.
file %>%
 decorate %>%
 filter(!is.na(conc)) %>%
 ggready %>%
 ggplot(aes(x = time, y = conc, color = Heart)) +
 geom_point()

# By default ggready resolves everything that is decorated.
# But we can intervene to resolve selectively,
# And further intervene to 'ggready' selectively.
#
x <- file %>% decorate %>% filter(!is.na(conc))
x %>%
resolve(conc, time) %>%   # Heart left unresolved!
ggready(conc, Heart, resolve = FALSE) %>%  # time left unreadied!
ggplot(aes(x = time, y = conc, color = Heart)) + geom_point()

# Still, all the labels were actually expressions:
x %>%
resolve(conc, time) %>%
ggready(conc, Heart, resolve = FALSE) %>%
decorations(conc, time, Heart)

yamlet documentation built on Oct. 6, 2023, 9:07 a.m.