NULL to do additional jobs beside the R code in chunks. This package
provides a few useful hooks, which can also serve as examples of how to
define chunk hooks in hook_pdfcrop(before, options, envir)hook_optipng(before, options, envir)
hook_plot_custom(before, options, envir)
hook_purl(before, options, envir)
hook_pdfcrop() can use the program par to set appropriate margins. Note
Sys.which('pdfcrop') to check it; if it not empty, you are able to use
it). Similarly, when the plot format is not PDF (e.g. PNG), the program
The function hook_optipng() calls the program optipng can be used to
provide additional parameters to the program optipng = '-o7'. See
When the plots are not recordable via recordPlot and
we save the plots to files manually via other functions (e.g. hook_plot_custom to help write code
for graphics output into the output document.
The hook hook_purl() can be used to write the code chunks to an R
script. It is an alternative approach to purl, and can be more
reliable when the code chunks depend on the execution of them (e.g.
read_chunk(), or opts_chunk$set(eval = FALSE)).
To enable this hook, it is recommended to associate it with the chunk option
purl, i.e. knit_hooks$set(purl = hook_purl). When this hook is
enabled, an R script will be written while the input document is being
knit. Currently the code chunks that are not R code or have the
chunk option purl=FALSE are ignored. Please note when the cache is
turned on (the chunk option cache = TRUE), no chunk hooks will be
executed, hence hook_purl() will not work, either. To solve this
problem, we need cache = 2 instead of TRUE (see
cache =
2).
rgl.snapshot, rgl.postscript,
hook_rgl, hook_webglif (require("rgl") && exists("hook_rgl")) knit_hooks$set(rgl = hook_rgl)
# then in code chunks, use the option rgl=TRUERun the code above in your browser using DataLab