Publications by Patricio Troncoso
Practical 5: Binary logistic regression in R
Some background information For this practical, we’ll be using open data from the following source: Wright, D. and London, K. (2011). Modern Regression Techniques Using R, London: Sage. (Chapter 8). This is available here. This dataset contains information about a randomised controlled trial, in which primary school pupils were asked about the ...
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MDES calculation
This is a companion document to the “mdesapp” online calculator, which is available here. The GitHub repository for this app is this. Introduction “mdesapp” is an online calculator that provides the Minimum Detectable Effect Size (MDES) in a 2-level Clustered Randomised Control Trial setting. This is when whole clusters (instead of indiv...
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Practical 1: Getting started with R
1. Introduction This is the first tutorial of the workshop. This is for you to familiarise yourself with R, R Studio and the console. 2. Installing R and R Studio You can go directly to 3 if you’ve installed R and R Studio We will be using R Studio, but R studio can only work if R is already installed, so we need to have both installed. 2.1...
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Practical 2: R demo
This example will demonstrate the main functions of the package dplyr. We will be using (publically available) data of the participants of the Great British Bake Off 2018. First we need to load dplyr into R library(dplyr) 1. Create your own dataset from scratch Here we are creating free variables (vectors in R) names <- c("Antony", "Briony", "D...
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Practical 3: Data manipulation and graphics in R
Some background information For this practical, we’ll be using open data from the following source: Wright, D. and London, K. (2011). Modern Regression Techniques Using R, London: Sage. (Chapter 8). This is available here. This dataset contains information about a randomised controlled trial, in which primary school pupils were asked about the ...
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