plot_signifArea {plotfunctions} | R Documentation |
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
).
plot_signifArea(data, view, predictor = NULL, valCI, col = 1, alpha = 0.5, ...)
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 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
|
valCI |
The name of the column in the data frame
|
col |
Color for the nonsignificant areas. |
alpha |
Level of transparency, number between 0 (transparent) and 1 (no transparency) |
... |
Optional parameters for |
Jacolien van Rij
# 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)