mention do files in intro

Author: ljwright

.DS_Store

@@ -13,7 +13,7 @@ The Centre for Longitudinal Studies (CLS) manages four cohort studies for which
 3. [Next Steps](https://doi.org/10.5334/ohd.16), a cohort of English schoolchildren followed from age 13/14 and born in 1989/90.
 4. [The Millennium Cohort Study (MCS)](https://doi.org/10.1093/ije/dyu001), a birth cohort of individuals born in Britain in 2000/02.
 
-This website provides `R` code for common data management tasks in each of the studies. This include merging files across survey sweeps, reshaping data from wide to long format, and using the correct variables to identify observational units (e.g., cohort members, families, parents, and so on). A separate website providing `Stata` code will be developed in due course.
+This website provides guided walkthroughs for using `R` for common data management tasks in each of the studies. This include merging files across survey sweeps, reshaping data from wide to long format, and using the correct variables to identify observational units (e.g., cohort members, families, parents, and so on). A separate website providing `Stata` walkthroughs will be developed in due course, though `Stata .do` files can be downloaded on each of the pages here.
 
 For background on CLS' studies, please see cohort profile papers (linked above) and the [CLS website](https://cls.ucl.ac.uk/cls-studies/). Queries about the data can be sent to the [CLS Data team](mailto:clsdata@ucl.ac.uk). Queries, comments and requests about this website can be directed to [Liam Wright](mailto:liam.wright@ucl.ac.uk) or raised as an issue on the [GitHub repository page](https://github.com/CLS-Data/CLS-Data.github.io).