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+# About
+
 Code etc for a short intro to a R/RStudio/RMarkdown (& possibly github) session.
 
- * First run: 12:00 - 14:00 March 29th 2018 [Centre for Sustainability](http://www.otago.ac.nz/centre-sustainability), University of Otago - see [slides](myFirstR_2018_03_29_CfS_Otago_FInal.pptx). Intended to last 1 hour, actually took 2!
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+ * First run: 12:00 - 14:00 March 29th 2018 [Centre for Sustainability](http://www.otago.ac.nz/centre-sustainability), University of Otago - see [slides](myFirstR_2018_03_29_CfS_Otago_FInal.pptx). Intended to last 1 hour, actually took 2!
+ 
+# Packages we live by
+ With apologies to [George Lakoff and Mark Johnson](http://press.uchicago.edu/ucp/books/book/chicago/M/bo3637992.html), these are the ones I use the most:
+ 
+  * [data.table](https://github.com/Rdatatable/data.table/wiki) - fast (big) data reading & munching
+  * [readr](http://readr.tidyverse.org/) - fast data reading & parsing
+  * [readxl](http://readxl.tidyverse.org/) - xlsx data reading
+  * [ggplot2](http://ggplot2.tidyverse.org/) - graphs, graphs, graphs
+  * [lubridate](http://lubridate.tidyverse.org/) - time & date conversions made easy
+  * [broom](https://cran.r-project.org/web/packages/broom/index.html) - tidy up regression results
+  * [stargazer](https://cran.r-project.org/web/packages/stargazer/) - tidy tables of regression results (and other things)
+  
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