Usually the point of using a graphic device is to create a file or show the
graphic on the screen. A few times we need the image data for further
processing in R, and instead of writing it to a file and then reading it back
into R the agg_capture()
device lets you get the image data directly from
the buffer. In contrast to the other devices this device returns a function,
that when called will return the current state of the buffer.
agg_capture(
width = 480,
height = 480,
units = "px",
pointsize = 12,
background = "white",
res = 72,
scaling = 1,
snap_rect = TRUE,
bg
)
A function that when called returns the current state of the buffer.
The return value of the function depends on the native
argument. If FALSE
(default) the return value is a matrix
of colour values and if TRUE
the
return value is a nativeRaster
object.
The dimensions of the device
The unit width
and height
is measured in, in either pixels
('px'
), inches ('in'
), millimeters ('mm'
), or centimeter ('cm'
).
The default pointsize of the device in pt. This will in general not have any effect on grid graphics (including ggplot2) as text size is always set explicitly there.
The background colour of the device
The resolution of the device. This setting will govern how device dimensions given in inches, centimeters, or millimeters will be converted to pixels. Further, it will be used to scale text sizes and linewidths
A scaling factor to apply to the rendered line width and text
size. Useful for getting the right dimensions at the resolution that you
need. If e.g. you need to render a plot at 4000x3000 pixels for it to fit
into a layout, but you find that the result appears to small, you can
increase the scaling
argument to make everything appear bigger at the
same resolution.
Should axis-aligned rectangles drawn with only fill snap to the pixel grid. This will prevent anti-aliasing artifacts when two rectangles are touching at their border.
Same as background
for compatibility with old graphic device APIs
cap <- agg_capture()
plot(1:10, 1:10)
# Get the plot as a matrix
raster <- cap()
# Get the plot as a nativeRaster
raster_n <- cap(native = TRUE)
dev.off()
# Look at the output
plot(as.raster(raster))
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