getStockcol: Manage default colours and point characters
In pRoloc: A unifying bioinformatics framework for spatial proteomics

Description Usage Arguments Value Author(s) Examples

These functions allow to get/set the colours and point character that are used when plotting organelle clusters and unknown features. These values are parametrised at the session level. Two palettes are available: the default palette (previously Lisa's colours) containing 30 colours and the old (original) palette, containing 13 colours.

setLisacol()

getLisacol()

getOldcol()

setOldcol()

getStockcol()

setStockcol(cols)

getStockpch()

setStockpch(pchs)

getUnknowncol()

setUnknowncol(col)

getUnknownpch()

setUnknownpch(pch)

`cols`	A vector of colour `characters` or `NULL`, which sets the colours to the default values.
`pchs`	A vector of `numeric` or `NULL`, which sets the point characters to the default values.
`col`	A colour `character` or `NULL`, which sets the colour to `#E7E7E7` (`grey91`), the default colour for unknown features.
`pch`	A `numeric` vector of length 1 or `NULL`, which sets the point character to 21, the default.

The set functions set (and invisibly returns) colours. The get functions returns a character vector of colours. For the pch functions, numerics rather than characters.

Laurent Gatto

## defaults for clusters
getStockcol()
getStockpch()
## unknown features
getUnknownpch()
getUnknowncol()
## an example
library(pRolocdata)
data(dunkley2006)
par(mfrow = c(2, 1))
plot2D(dunkley2006, fcol = "markers", main = 'Default colours')
setUnknowncol("black")
plot2D(dunkley2006, fcol = "markers", main = 'setUnknowncol("black")')
getUnknowncol()
setUnknowncol(NULL)
getUnknowncol()
getStockcol()
getOldcol()