Conclusion
While R is not simply designed as a dataset manager, it is incredibly easy to make complex modifications to our dataset, and easily take a look at their structure and distribution.
In the next chapter, we’ll see a couple of simple statistical tests that can be performed in R, and in the following one we’ll see in more detail some of the possibilities offered by R to make beautiful graphics!
PS: Let’s save this workspace, so we can use it for our other courses:
save.image(file = "OurWholeData(2).RData") INTRODUCTION
The core of what we're doing is R is dealing with data. Let's see how to play with it for a bit.
ACCESS, EXTRACT AND MERGE DATA?
a.k.a. Data management 101
BASIC STATISTICS
Mean, standard deviation, median? We got it all, and it's right here!
A QUICK LOOK AT OUR DATA
Basic plots for data exploration.
