plot_signifArea: Creates a colored surface plot from data frame input.

In plotfunctions: Various Functions to Facilitate Visualization of Data and Analysis

Description

This function uses rasterImage to indicate which points in the surface are not significantly different from zero. Note that the shape of these non-significant regions depends on the number of data points (often specified with n.grid).

Usage

plot_signifArea(data, view, predictor = NULL, valCI, col = 1, alpha = 0.5, ...)

Arguments

data	Data frame with plot data. A data frame needs to have a column with x values, a column with y values (specified in view), a column with z values (predictor), and one or two columns with CI values (valCI).
view	A vector of length 2 with the names or numbers of the columns to plot on the x axis and y axis respectively.
predictor	The name of the column in the data frame data that provides the z-values. If data contains more than one column besides the x- and y-values, the predictor should be provided.
valCI	The name of the column in the data frame data that provides the CI-values. Alternatively, two column names can be provided for the lower and upper CI respectively.
col	Color for the nonsignificant areas.
alpha	Level of transparency, number between 0 (transparent) and 1 (no transparency)
...	Optional parameters for rasterImage

Author(s)

Jacolien van Rij

See Also

rasterImage

Examples

# From the package graphics, see help(image):
x <- 10*(1:nrow(volcano))
y <- 10*(1:ncol(volcano))
tmp <- data.frame(value = (as.vector(volcano) - 120), 
    x = 10*rep(1:nrow(volcano), ncol(volcano)), 
    y = 10*rep(1:ncol(volcano), each=nrow(volcano)),
    CI = rep(20, nrow(volcano)*ncol(volcano)))
plotsurface(tmp, view=c('x', 'y'), predictor='value', main='Maunga Whau Volcano')
plot_signifArea(tmp, view=c('x', 'y'), predictor='value', valCI='CI')

# change color:
plotsurface(tmp, view=c('x', 'y'), predictor='value', main='Maunga Whau Volcano')
plot_signifArea(tmp, view=c('x', 'y'), predictor='value', valCI='CI', 
    col='red')
# or completely remove 'nonsignificant' area:
plot_signifArea(tmp, view=c('x', 'y'), predictor='value', valCI='CI', 
    col='white', alpha=1)

plotfunctions documentation built on April 28, 2020, 5:10 p.m.