Assign parameters in a gtTheme to create a new theme.
setTheme(from = NULL, title = NULL, box = NULL, xAxis = NULL,
yAxis = NULL, grid = NULL, legend = NULL, vector = NULL,
raster = NULL)[gtTheme] an gtTheme object.
[named list(.)] plot = TRUE/FALSE,
fontsize and colour of the title.
[named list(.)] plot = TRUE/FALSE,
linewidth, linetype and colour of the bounding box
(not supported recently).
[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.
[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.
[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.
[named list(.)] plot = TRUE/FALSE, number of
bins, ascending = TRUE/FALSE order of values and the
sizeRatio of plot and legend, 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.
[named list(.)] linecol, fillcol,
linetype, linewidth, pointsize and pointsymbol
of a vector object, scale [named list(.)] x =
'someParameter' and to = 'someAttribute' to which to scale
'someParameter' to.
[ named list(.)] scale = 'someAttribute' and
at least two colours to which to scale 'someAttribute' to.
# NOT RUN {
input <- gtRasters$continuous
(myTheme <- setTheme(title = list(plot = FALSE)))
visualise(input, theme = myTheme)
# }
Run the code above in your browser using DataLab