ContourFunctions (version 0.1.1)

cf_data: Contour plot from data

Description

Makes filled contour plot from data without sidebar by interpolating with a Gaussian process model. The model is passed to cf_func to make the contour plot.

Usage

cf_data(x, y = NULL, z = NULL, xlim = NULL, ylim = NULL,
  xylim = NULL, fit = "", gg = FALSE, ...)

Arguments

x

either just x data, x and y data, or x, y and z data

y

either y data, z data, or null

z

either z data or null

xlim

x limits for the contour plot, will be set to data limits +- 5% if not specified

ylim

y limits for the contour plot, will be set to data limits +- 5% if not specified

xylim

x and y limits for the contour plot

fit

Method to fit a model with. Current options are laGP (default) and mlegp. laGP is faster but might cause trouble.

gg

If TRUE, will use ggplot2 by calling gcf_func

...

passed to cf_func

Examples

# NOT RUN {
x <- runif(20)
y <- runif(20)
z <- exp(-(x-.5)^2-5*(y-.5)^2)
cf_data(x,y,z)
# }

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