Lazyload Cached label(s) or a whole directory.
lazyload_cache_dir(
path = "./cache",
envir = parent.frame(),
ask = FALSE,
verbose = TRUE,
full.names = TRUE,
...
)lazyload_cache_labels(
labels,
path = "./cache/",
envir = parent.frame(),
verbose = TRUE,
filter,
full.names = TRUE,
...
)
the path to the cache directory.
the environment to load the objects into
if TRUE ask the user to confirm loading each database found in
path
if TRUE display the chunk labels being loaded
use the full name, i.e., include the path, for the chunk
label? This argument is passed to list.files.
additional arguments passed to list.files.
a character vector of the chunk labels to load.
an optional function passed to lazyLoad.
when called on a character vector of object names returns a logical vector:
only objects for which this is true will be loaded.
These functions helpful for loading cached chunks into an interactive R
session. Consider the following scenario: you use knitr and have cached
chunks for lazyloading. You've created the document, close up your IDE and
move on to the next project. Later, you revisit the initial project and need
to retrieve the objects created in the cached chunks. One option is to
reevaluate all the code, but this could be time consuming. The other option
is to use lazyload_cache_labels or lazyload_cache_dir to
quickly (lazy)load the chunks into an active R session.
Use lazyload_cache_dir to load a whole directory of cached objects.
Use lazyload_cache_labels to load and explicit set of cached chunks.