USMR Lab 9
This lab is a little less guided, and a little more like the take-home exam. The main
thing to remember when carrying out an exercise like this is to make it clear why you made the
decisions you made, either as a writeup or as comments (beginni
Univariate Statistics with R: Lab 2
Friday 9th & Wednesday 14th October, 2015
Introduction
In this lab, you are going to begin to become accustomed to randomly generating data of dierent types
in R, generating appropriate plots for dierent types of data,
Lab 4 - Univariate Statistics with R
Tom Booth (revisions by James Stone)
R skills: Writing functions and useful functions
Welcome to Lab 4
The primary purpose of this lab is to teach you some more advanced R skills. So far we have mainly considered
how t
USMR Lab 6
November 5, 2015
This week well be merging data collected from a number of sources before running a simple
correlation and a linear model. You should end up knowing a bit more about data manipulation, as
well as more about running statistical t
USMR Lab 7
Three dierent activities this week! These may require a bit of thinking; weve tried to include
enough information to help you nd solutions, but our solutions arent the only ones, obviously.
1 A brief note on
with()
You may have noticed a really
USMR Lab 8
1 A tiny bit more R!
1.1 ifelse
Todays lab is primarily focused on extending our knowledge/experience of conducting and interpreting
linear models. But before that, a brief note on if-else statements as you may have noticed examples
of them in
Lab 3 - Univariate Statistics with R
Tom Booth (revisions by James Stone)
Some notes and observations from the labs so far
Everyone has made great progress so far and it is great for us to see students engaging with R and hopefully
seeing the utility of u
Lab 5 - Univariate Statistics with R
Tom Booth (minor revisions by James Stone)
It is nally time to do some stats!
So in todays lab we are going to start working with some data that looks a little more real. What do I
mean by real, well, messy! Up until n