Real R · dplyr · ggplot2

R Practice

Real R runs in your browser via WebR. dplyr and ggplot2 are pre-loaded. Three Kenyan datasets are pre-defined as data frames so you can practice the tidyverse workflow on real data from the moment you start.

Difficulty up to

0/43 done · 0%

Chapters

1. Hello, R — vectors are everywhere

2. Atomic types and coercion

3. Vectors, lists, and matrices

4. Data frames and tibbles

5. Functions, control flow, and the apply family

6. dplyr: filter, select, mutate, summarise

7. tidyr: pivot, separate, join

8. ggplot2 grammar of graphics

9. Linear models with lm

10. Factors and model formulas

11. Reporting with R Markdown / Quarto

12. Three real analyses on Kenyan data

13. Modern tidyverse patterns

Why R is vector-first by default, the assignment arrow, and how to read R's function help pages.

R is vectorised by default. c(1, 2, 3) * 2 gives c(2, 4, 6) element-wise. There is no scalar-vs-array distinction; even a single number is a length-1 vector.

Assignment uses the arrow operator: x <- 5. The equals sign also works but is convention-frowned-upon outside function calls. The arrow goes both ways: 5 -> x is valid but rare.

Help: ?mean opens the help page for mean. ??regression does a fuzzy search across all installed packages. The Examples section at the bottom of every help page is usually the fastest way to learn how a function is used.

Chapter 1 · Exercise 1Easy

Hello, world

Print the string Hello, Kenya.

analysis.Rdplyr · bankrates, pension, mpesa pre-loaded