There are multiple ways to interface with R. Some common interfaces are the basic R GUI, R Commander (the package “Rcmdr” that you use on top of the basic R GUI), and RStudio.
When I first started to learn to use R, I was bound and determined to use the basic R GUI.
As someone who was already used to programming in SAS, I wasn’t looking for a (more…)
If you are like I was for a long time, you have avoided learning R.
You’ve probably heard that there’s a steep learning curve. Or noticed that the available documentation is not necessarily user-friendly.
Frankly, both things are true, to some extent.
The best and worst thing about R is that it is open-source. So there is no single (more…)
One of our instructors–David Lillis–recently gave a talk in front of the Wellington R Users Group highlighting 15 Tips for using the R statistical programming language aimed at the beginner.
Below is a video recording of his presentation…
Let’s create a simple bar chart in R using the barplot() command, which is easy to use.
First, we set up a vector of numbers. Then we count them using the table() command, and then we plot them.
The table() command creates a simple table of counts of the elements in a data set.
H <- c(2,3,3,3,4,5,5,5,5,6)
Now we count the elements using the table() command, as follows: (more…)
In Part 9, let’s look at sub-setting in R. I want to show you two approaches.
Let’s provide summary tables on the following data set of tourists from different nations, their gender and numbers of children. Copy and paste the following array into R. (more…)