Are there any adverse effect to including library/require statements inside of functions that will be called very frequently?
The time used see
require checks whether the package is already loaded (on the search path)
using
loaded <- paste("package", package, sep = ":") %in% search()
and will only proceed with loading it if this is FALSE
library includes a similar test, but does a bit more stuff when this is TRUE (including creating a list of available packages.
require proceeds using a tryCatch call to library and will create a message .
So a single call to library or require when a package is not on the search path may result in library being faster
system.time(require(ggplot2))
## Loading required package: ggplot2
## user system elapsed
## 0.08 0.00 0.47
detach(package:ggplot2)
system.time(library(ggplot2))
## user system elapsed
## 0.06 0.01 0.08
But, if the package is already loaded, then as you show, require is faster because it doesn't do much more than check the package is loaded.
The best solution would be to create a small package that imports stringr (or at least str_extract from stringr