Computes plot and stats from a IFC graph
plotGraph(
obj,
graph,
draw = FALSE,
stats_print = draw,
color_mode = c("white", "black")[1],
add_key = "panel",
precision = c("light", "full")[1],
trunc_labels = 38,
trans = "asinh",
bin,
viewport = "ideas",
backend = "lattice",
...
)
it invisibly returns a list whose members are:
-stats, a table of statistics computed for the graph, if 'stats_print' was TRUE,
-input, a list with input parameters.
an `IFC_data` object extracted with features extracted.
a graph from 'obj' or a list that can be coerced by buildGraph
.
whether to draw plot or not. Default is FALSE.
whether to print stats or not. Default is given by 'draw' argument.
whether to extract colors from 'obj' in white or black mode. Default is "white".
whether to draw a "global" key under title or in the first "panel" or "both". Default is "panel".
Accepted values are either: FALSE, "panel", "global", "both" or c("panel", "global").
Note that it only applies when display is seen as overlaying populations.
when graphs is a 2D scatter with population overlay, this argument controls amount of information displayed. Default is "light".
-"light", the default, will only display points of same coordinates that are among the other layers.
-"full" will display all the layers.
maximum number of characters to display for labels. Default is 38.
the name of a transformation function for density graphs. If missing the default, the BasePop[[1]]$densitytrans, if any, will be retrieved, otherwise "asinh" will be used.
number of bin used for histogram / density. Default is missing.
either "ideas", "data" or "max" defining limits used for the graph. Default is "ideas".
-"ideas" will use same limits as the one defined in ideas.
-"data" will use data to define limits.
-"max" will use data and regions drawn to define limits.
backend used for drawing. Allowed are "lattice", "base", "raster", "raster-edge", "raster-hybrid". Default is "lattice".
-"lattice" is the original one used in IFC using lattice,
-"base" will produce the plot using base,
-"raster" uses "base" for plotting but 2D graphs points will be produced as rasterImage
.
This has the main advantage of being super fast allowing for plotting a huge amount of points while generating smaller objects (in bytes).
However, plot quality is impacted with "raster" method and resizing can lead to unpleasant looking.
-"raster-edge" is the same as "raster" except that points outside of limits will be drawn onto the edge.
-"raster-hybrid" uses "raster" for drawing on top of a first "raster-edge" pass to produce an hybrid display.
other arguments to be passed.