Skills Lab

Here are all the sklls lab materials

Skills lab 1

Setup and Revision

In this first session, we’ll get reacquainted with R and learn some tips to make working in RStudio more accessible - and colourful! We’ll also revise some core concepts around reading in and working with data in a tidy way.

Skills lab 2

Presenting and Visualising Data

Building on last week’s foundations, we’ll explore how to present data in a clean, professional, and easy-to-read way, using nicely formatted summary tables and powerful data visualisation tools.

Skills lab 3

Dealing with Dirty Data

Thus far all the data we’ve seen has been nicely cleaned and ready to use - but that’s hardly ever the case! This time through we’ll tackle difficult data, and discuss deciding what to do when your data is deficient or disordered.

Skills lab 4

Skills lab 5

t-tests

Our one-letter-per-week theme continues, with this week’s spotlight on the letter t! We look at means plots and t-tests in R - and look ahead to the upcoming take-away paper assessment.

Skills lab 6

TAP Prep

We will work through the key parts of the first sample TAP, with time to answer your questions about the sample TAP and next week’s real TAP assessment.

Skills lab 7

Linear Model 1

This week we will open a big chapter on the Linear Model. We will learn how to fit and interpret a basic one-predictor model and how to visualise it on a scatterplot.

Skills lab 8

Linear Model 2

Building on last weeks’s Skills lab, we look at the statistical testing of linear model coefficients and assess the overall fit of the model.

Skills lab 9

Linear Models 3

Like tibbles, our predictors are multiplying! We’ll demo how to add predictors to the linear model, and how to interpret the more complex model once you do.

Skills lab 10

lm() recap and what next

In the final Skills lab we go over the functions that we’ve used to fit and evaluate linear models, we learn how to simulate simple data, and have a taste of some advanced R.