# ContourFunctions v0.1.1

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## Create Contour Plots from Data or a Function

Provides functions for making contour plots. The contour plot can be created from grid data, a function, or a data set. If non-grid data is given, then a Gaussian process is fit to the data and used to create the contour plot.

# ContourFunctions

This is an R package that provides simple functions for creating contour plots.

## Overview

The main functions are:

• cf_grid: Makes a contour plot from grid data.

• cf_func: Makes a contour plot for a function.

• cf_data: Makes a contour plot for a data set by fitting a Gaussian process model.

• cf: Passes arguments to cf_function or cf_data depending on whether the first argument is a function or numeric.

All of these functions make the plot using base graphics by default. To make plots using ggplot2, add the argument gg=TRUE, or put g in front of the function name. E.g., gcf_data(...) is the same as cf_data(..., gg=TRUE), and makes a similar plot to cf_data but using ggplot2.

There are two functions for making plots in higher dimensions:

• cf_4dim: Plots functions with four inputs by making a series of contour plots.

• cf_highdim: Plots for higher dimensional inputs by making a contour plot for each pair of input dimensions and holding the other inputs constant or averaging over them.

## Installation

# It can be installed like any other package
install.packages("ContourFunctions")

# Or the the development version from GitHub:
# install.packages("devtools")
devtools::install_github("CollinErickson/contour")


## Usage

Plot a grid of data:

library(ContourFunctions)
a <- b <- seq(-4*pi, 4*pi, len = 27)
r <- sqrt(outer(a^2, b^2, "+"))
cf_grid(a, b, cos(r^2)*exp(-r/(2*pi)))


Plot a function with two input dimensions:

f1 <- function(r) cos(r[1]^2 + r[2]^2)*exp(-sqrt(r[1]^2 + r[2]^2)/(2*pi))
cf_func(f1, xlim = c(-4*pi, 4*pi), ylim = c(-4*pi, 4*pi))


Using data with two inputs and an output, fit a Gaussian process model and show the contour surface with dots where the points are:

set.seed(0)
x <- runif(20)
y <- runif(20)
z <- exp(-(x-.5)^2-5*(y-.5)^2)
cf_data(x,y,z)


For more than two input dimensions:

friedman <- function(x) {
10*sin(pi*x[1]*x[2]) + 20*(x[3]-.5)^2 + 10*x[4] + 5*x[5]
}
cf_highdim(friedman, 5, color.palette=topo.colors)


For (three or) four inputs dimensions:

cf_4dim(function(x) {x[1] + x[2]^2 + sin(2*pi*x[3])})


## Functions in ContourFunctions

 Name Description cf_func Makes filled contour plot from function gcf_grid Create contour plot from grid data using ggplot2 gcf_data Contour plot from data gcf_func Makes filled contour plot from function multicolor.title Makes plot title using specified colors for the text text_plot Make a plot with only text eval_over_grid_with_batch Evaluate function over grid of points cf_highdim Plot 2D contour slices of higher dimensional functions csa Close all open screens cm.colors.strong Strong version of cm.colors color palette cf_grid Create a contour plot from a grid of data cf_4dim Plot 2D contour slices of four dimensional functions cf_data Contour plot from data cf Make contour plot from data or function gcf Make contour plot from data or function using ggplot2 No Results!

## Details

 Type Package License GPL-3 RoxygenNote 6.1.1 VignetteBuilder knitr URL https://github.com/CollinErickson/contour Encoding UTF-8 NeedsCompilation no Packaged 2019-05-20 02:47:59 UTC; cbe117 Repository CRAN Date/Publication 2019-05-20 04:10:03 UTC
 suggests covr , ggplot2 , knitr , laGP , lhs , mlegp , rmarkdown , testthat Contributors