Introduction to Juypter - The R kernel

This notebook written in an R kernel. There are some differences to the Python kernel:

• no magic commands, since these are specific to the Python kernel

• you cannot use R and Python interchangeably

However, if you are doing an analysis in R only, using the R kernel makes more sense. Otherwise you would have to type an %%R at the top of every cell.

x <- c(2,4,5,6,7)

x

1. 2
2. 4
3. 5
4. 6
5. 7

plot(x)