geometr (version 0.2.8)

setTheme: Create a new theme

Description

Assign parameters in a gtTheme to create a new theme.

Usage

setTheme(
  from = NULL,
  title = NULL,
  box = NULL,
  xAxis = NULL,
  yAxis = NULL,
  grid = NULL,
  legend = NULL,
  scale = NULL,
  parameters = NULL
)

Arguments

from

[gtTheme] an gtTheme object.

title

[named list(.)] plot = TRUE/FALSE, fontsize and colour of the title.

box

[named list(.)] plot = TRUE/FALSE, linewidth, linetype and linecol of the bounding box (not supported recently).

xAxis

[named list(.)] plot = TRUE/FALSE, number of bins and margin of the x-axis, label [named list(.)] plot = TRUE/FALSE, title, fontsize, colour and rotation of the x-axis label, ticks [named list(.)] plot = TRUE/FALSE, fontsize, colour and number of digits to which to round the x-axis ticks.

yAxis

[named list(.)] plot = TRUE/FALSE, number of bins and margin of the y-axis, label [named list(.)] plot = TRUE/FALSE, title, fontsize, colour and rotation of the y-axis label, ticks [named list(.)] plot = TRUE/FALSE, fontsize, colour and number of digits to which to round the y-axis ticks.

grid

[named list(.)] plot = TRUE/FALSE, colour, linetype and linewidth of the major and minor grid and whether or not to plot the minor = TRUE/FALSE grid.

legend

[named list(.)] plot = TRUE/FALSE, number of bins, ascending = TRUE/FALSE order of values and the sizeRatio of legend/plot size, label [named list(.)] plot = TRUE/FALSE, fontsize and colour of the legend labels, box [named list(.)] plot = TRUE/FALSE, linetype, linewidth and colour of the legend box.

scale

[named list(.)] param = 'someParameter' and to = 'someAttribute' specifying which parameter shall be scale to which attribute, the value range that shall be represented by the scale, the number of bins into which the values shall be classified and the number of maxPixels.

parameters

[named list(.)] linecol, fillcol, missingcol, linetype, linewidth, pointsize and pointsymbol of the plot object.

Examples

# NOT RUN {
input <- gtRasters$continuous
(myTheme <- setTheme(title = list(plot = FALSE)))

visualise(input, theme = myTheme)
# }