add.multiple.grf.functions: Add multiple functions to GRF object

In mathiasisaksen/GRFics: Efficient generation of noise functions from approximate Gaussian random fields

Description

Generates multiple functions from the GRF object specified as a parameter, and adds them to the object. See add.grf.function for details.

Usage

add.multiple.grf.functions(grf.object, num.functions = NULL,
  function.names = NULL, seed = NULL)

Arguments

grf.object	A GRF object generated by generate.grf.object.
num.functions	The number of functions to be added.
function.names	A character vector specifying the names used for each function.
seed	Optional. Must be a numeric vector of length num.functions (or length(function.names)).

Details

Either num.functions or function.names must be specified.

Value

The GRF object with the functions added to the functions list.

Author(s)

Mathias Isaksen [e-mail]

Examples

library(GRFics)
# Prepare GRF object
grf.object = generate.grf.object(0, 1, 0, 1, 100, 100)
# Add two functions to object
grf.object = add.multiple.grf.functions(grf.object, function.names = c("u", "v"))
# Extract data frames
function.1.df = get.function.df(grf.object, function.name = "u")
function.2.df = get.function.df(grf.object, function.number = 2)
# Create combined data frame for plotting
combined.df = rbind(function.1.df, function.2.df)
combined.df$facet.var = rep(1:2, each = nrow(function.1.df))
# Plot functions side by side
library(ggplot2)
ggplot()+
  geom_raster(data = combined.df, aes(x = x, y = y, fill = z))+
  coord_fixed()+
  facet_grid(cols = vars(facet.var))

mathiasisaksen/GRFics documentation built on May 20, 2021, 5:55 a.m.