5 Wrapping up
Learning to code happens slowly at first, but it’s worth taking a moment to enumerate what we’ve learned to keep those steps in perspective. So far, we’ve covered:
how to navigate R and RStudio
how R handles different kinds of data
how to work with R at the command line
how to assign values to variables
how to use functions, including supplying arguments
how to make histograms and scatterplots
how to create, run, and share scripts in RStudio
how to use best practices in file system management
how to work with file systems from inside and outside RStudio
how to import and export table data
how to access and change columns, rows, and values in a tibble
And it’s only Week 3! As you progress, some of the steps you’ve learned now will make more complex activities in R more intuitive, and you’ll be able to pick up new skills faster. This week’s lab exercise will build on what we’ve done both last week and this week, using this kind of weather data to do a bit of analysis. When you’re ready, you can move on to the Week 3 Lab Exercise…