8 Week Two Overview
8.1 Week Two
8.1.1 Data Structures in R (2.1)
On completion, you should:
understand the five most commonly-used data structures in R
- Matrices, arrays, lists, data frames, tibbles
be able to create and manipulate these data structures
be familiar with the ‘tibbles’ data structure
8.1.2 Control Structures and Functions (2.2)
On completion, you should:
understand how to create conditional statements in R
- if, else, else if
understand how to create loops in R
- for, while
understand how to create a custom function in R
8.1.3 Importing Data into R (2.3)
On completion, you should:
understand the most common formats in which data is stored
- csv, xls, json
be able to import datasets in various formats into R, ready for preparation and analysis
- readxl, tidyverse
8.1.4 Data Manipulation (2.4)
On completion, you should:
be confident in cleaning datasets, preparing them for analysis
tidyverse
filtering data
sorting data
creating new data
grouping data
understand how to manipulate variables, and create new variables, in preparation for analysis
removing outliers
removing missing data
removing specific variables
renaming variables
creating a new dataset
changing variable types
creating logical variables
calculating a new variable based on existing ones