Version 0.2-0 of the 'grImport2' package makes sure that The 'gridSVG' package allows us to export SVG images that The 'grImport2' package allows us to import SVG images that SVG images can contain sophisticated graphics features. Gridsvg ( "test1-gridSVG-right-delay.svg", width = 6, height = 3, res = 96 ) grid.rect ( gp = gpar ( col = NA, fill = "grey80" )) ggplot <- qplot (disp, mpg, data =mtcars) test1grob <- pictureGrob (test1, ext = "gridSVG" ) plot_grid (ggplot, test1grob) dev.off () 5. The code below demonstrates this and the resulting image is now PictureGrob()), which means that registration happens When the imported image is drawn (not when we call To pictureGrob() this means that registration only happens The way that we do that is by specifying dela圜ontent=TRUE Were both relative to half the page in the previous section. Image are registered in the correct viewport To make sure that the masks (and filters) in the imported Is being drawn by 'cowplot' in only half of the page. Which is relative to the whole page, but the imported image Image is being registered when we call pictureGrob(), The problem is that the mask (and filter) within the imported (when exporting to SVG with 'gridSVG') it is just a moreīy a mask that is relative to the whole page from the previous section. This is a manifestation of context-sensitive SVG features Gridsvg ( "test1-gridSVG-right.svg", width = 6, height = 3, res = 96 ) grid.rect ( gp = gpar ( col = NA, fill = "grey80" )) ggplot <- qplot (disp, mpg, data =mtcars) test1grob <- pictureGrob (test1, ext = "gridSVG", dela圜ontent = FALSE ) plot_grid (ggplot, test1grob) dev.off () R graphics supports translucent colours,īut it does not support masks (or filters), so we only get theĭark blue fill from the SVG image when we draw it in R. This is an example of an image thatīecomes apparent when we import the image to R and attempt The image has been converted to a Cairo-based SVG versionĪn important feature of this SVG image is that that lightīlue fill is achieved by way of an SVG mask (and an SVG filter) applied The original image was PDF, but we cannot directly import PDF images, so The following image is a diagram that was drawn in Adobe Illustrator Graphics features and the export of those SVG images In this section, we bring together the import of SVG images with "context-sensitive" features, like masks, is out of our control.Ĥ. Whether we end up with an image that makes use of these However, when we import an external SVG image with 'grImport2' Not be something we choose to make use of deliberately. While this level of control is interesting and powerful, it may 5, just = "left" )) registerMask ( "vp-slice", mask (maskShape)) grid.draw (shape) grid.mask ( "c", label = "vp-slice" ) dev.off () Gridsvg ( "mask-vp.svg", width = 3, height = 3, res = 96 ) grid.rect ( gp = gpar ( col = NA, fill = hcl ( 240, 60, 60 ))) pushViewport ( viewport ( x =. One filled black, one filled grey, and one filled white. We will work with a mask that consists of three vertical bars The following code and images demonstrate how a mask works. Wherever the mask is grey, the other shape is translucent. Opaque, wherever the mask is black, the other shape is transparentĪnd (what makes masks different from clipping paths), Is the export of "context-sensitive" graphics features,Ī mask is a shape that is used to affect the transparency ofĪnother shape wherever the mask is white, the other shape is SVG image because we have no control over whether the person whoĬreated the external image has made use of these details.Ī complication that can arise when generating SVG from R SVG images, but they become important when we import an external To make use of these details deliberately when generating our own This section side-tracks into a discussion of some of the detailsĪbout sophisticated SVG graphics features. Gridsvg ( "Rplot-gridSVG.svg", width = 5, height = 5, res = 96 ) xyplot (mpg ~ disp, mtcars, panel = function (.
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