Jan 28 - getting started
Recap where we are : starting textbook (topic - exploring data) & starting to get a handle on R.
for the good of the order
Expectations :
'welcome to my classroom' - Rob Jenkins, chronicle of higher ed. (Essentially I will expect you to act like responsible adults.)
old business
Any questions about anything so far?
Access to textbook?
Access to R software?
new business
Open discussion of what you would like to get out of the course
and your academic interests.
Work through the "Introduction to R and RStudio" lab.
Discuss the readings. (There are more along the same lines on the
resources page - browse 'em.)
For next week (I'll put something like this in "preparation once I see where we are"):
- Start reading chapter 1
- Keep an eye out for data visualizations in the news to discuss in class
- Think about data that you could collect that might answer a question. More on that soon.
- And we'll be doing the next R lab, "Introduction to Data" sometime soon.
point of information
I have put the data from openintro textbook in the left menu.
To load one of those files into an RStudio browser session,
- download it to your computer
- click the "Files" tab in RStudio, then click "Upload" to copy that file up to the server
- import into RStudio with either read.csv("filename") or read.delim("filename")
The default built-in plot utility is plot(). But qplot() and ggplot() are often easier and prettier.
Remember that you may need to load some software into R with library(reshape) and library(ggplot2) .
Searching google (i.e. "RStudio ggplot2" or "qplot example") can help.
