Setting up

The primary purpose of this course is to help you to understand how to use statistics that will help with your research. The course will try to explain a branch of statistics called ‘Estimation Statistics’ which are complementary to the normal sort of hypothesis test procedures and address some of the criticisms of those methods.

Statistics is a computationally heavy topic, so we’ll be making use of the R statistical programming environment to do that side of the work. The rest of this chapter will help you get that set up on your own computer.

Prerequisites

Knowledge prerequisites

There are no specific knowledge prerequisites for this book but it will be very helpful if you have read and worked through the ggplot and Intro to Stats books and are familiar with R use.

Software prerequisites

You need to install the following stuff for this book:

R
RStudio
Some R packages: tidyverse, effectsize, resample, dabestr,devtools and besthr

Installing R

Follow this link and install the right version for your operating system https://www.stats.bris.ac.uk/R/

Installing RStudio

Follow this link and install the right version for your operating system https://www.rstudio.com/products/rstudio/download/

Installing R packages in RStudio

Standard packages

In the RStudio console, type

install.packages(c("tidyverse", "effectsize", "resample", "dabestr","devtools"))

and the packages should install.

Development packages

besthr is a new package that needs to be installed from the source.

In the Console tab in the lower left panel of RStudio type devtools::install_github("danmaclean/besthr")

You may get asked to install newer versions of packages, select 1. All for these questions.