Add missing periods.

Author: aitap

vignettes/datatable-importing.Rmd

@@ -46,7 +46,7 @@ The next thing is to define what content of `data.table` your package is using.
 
 You may also want to use just a subset of `data.table` functions; for example, some packages may simply make use of `data.table`'s high-performance CSV reader and writer, for which you can add `importFrom(data.table, fread, fwrite)` in your `NAMESPACE` file. It is also possible to import all functions from a package _excluding_ particular ones using `import(data.table, except=c(fread, fwrite))`.
 
-Be sure to read also the note about non-standard evaluation in `data.table` in [the section on "undefined globals"](#globals)
+Be sure to read also the note about non-standard evaluation in `data.table` in [the section on "undefined globals"](#globals).
 
 ## Usage
 

vignettes/datatable-sd-usage.Rmd

@@ -232,9 +232,9 @@ Suppose we wanted to return the _best_ year for each team, as measured by their
 Teams[ , .SD[which.max(R)], by = teamID]
 ```
 
-Note that this approach can of course be combined with `.SDcols` to return only portions of the `data.table` for each `.SD` (with the caveat that `.SDcols` should be fixed across the various subsets)
+Note that this approach can of course be combined with `.SDcols` to return only portions of the `data.table` for each `.SD` (with the caveat that `.SDcols` should be fixed across the various subsets).
 
-_NB_: `.SD[1L]` is currently optimized by [_`GForce`_](https://Rdatatable.gitlab.io/data.table/library/data.table/html/datatable-optimize.html) ([see also](https://stackoverflow.com/questions/22137591/about-gforce-in-data-table-1-9-2)), `data.table` internals which massively speed up the most common grouped operations like `sum` or `mean` -- see `?GForce` for more details and keep an eye on/voice support for feature improvement requests for updates on this front: [1](https://github.com/Rdatatable/data.table/issues/735), [2](https://github.com/Rdatatable/data.table/issues/2778), [3](https://github.com/Rdatatable/data.table/issues/523), [4](https://github.com/Rdatatable/data.table/issues/971), [5](https://github.com/Rdatatable/data.table/issues/1197), [6](https://github.com/Rdatatable/data.table/issues/1414)
+_NB_: `.SD[1L]` is currently optimized by [_`GForce`_](https://Rdatatable.gitlab.io/data.table/library/data.table/html/datatable-optimize.html) ([see also](https://stackoverflow.com/questions/22137591/about-gforce-in-data-table-1-9-2)), `data.table` internals which massively speed up the most common grouped operations like `sum` or `mean` -- see `?GForce` for more details and keep an eye on/voice support for feature improvement requests for updates on this front: [1](https://github.com/Rdatatable/data.table/issues/735), [2](https://github.com/Rdatatable/data.table/issues/2778), [3](https://github.com/Rdatatable/data.table/issues/523), [4](https://github.com/Rdatatable/data.table/issues/971), [5](https://github.com/Rdatatable/data.table/issues/1197), [6](https://github.com/Rdatatable/data.table/issues/1414).
 
 ## Grouped Regression