cranvas (version 0.8.5)

color_pal<-: Set palettes and variables to map data to aesthetics

Description

These functions provide ways to modify the palettes, variables to create aesthetics and their titles in a data object created by qdata. Currently supported aesthetics are about color, border and size of graphical elements.

Usage

color_pal(data) <- value
color_var(data) <- value
color_title(data) <- value
border_pal(data) <- value
border_var(data) <- value
border_title(data) <- value
size_pal(data) <- value
size_var(data) <- value
size_title(data) <- value

Arguments

data

the data object

value

the palette (as a function mapping a data variable to graphical properties), the variable name (as a character scalar), or the title (as a character scalar)

Value

The corresponding scale information in data is set to value.

Details

All these information is called ``scales'' (in the ggplot2 term) and stored in attr(data, 'Scales'). Usually palette functions are from the scales package.

Examples

library(cranvas)
library(scales)
qtennis <- qdata(tennis, color = aces)

qscatter(server.pts, first.serves, data = qtennis)
qparallel(10:14, data = qtennis)  # variables including Aces
qscatter(server.pts, aces, data = qtennis)


## now notice the color changes in the plot
color_pal(qtennis) <- div_gradient_pal()  # change to diverging gradient palette

color_var(qtennis) <- "first.serves"  # change color variable from Aces to First.Serves

color_title(qtennis) <- "First Serves"  # change title; to be used in legend

cranvas_off()