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proof reading workshop info regression analysis with r
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programme_information/regression_analysis_with_r.ipynb

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"\n",
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"## Course Description \n",
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"Regression analysis is a fundamental statistical technique used to model the relationship between multiple variables. It is a very flexible tool that can handle a range of different data types (continuous, binary or categorical) and address both complex and simple research questions. In this hands on workshop you will learn how to fit a range of regression models with R, how to interpret the output and the link between regression and other common statistical tools.\n",
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"Regression analysis is a fundamental statistical technique used to model the relationship between multiple variables. It is a very flexible tool that can handle a range of different data types (continuous, binary or categorical) and address both complex and simple research questions. In this hands-on workshop you will learn how to fit a range of regression models with R, how to interpret the output and the link between regression and other common statistical tools.\n",
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"## Course Objectives\n",
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"- Understand the types of questions regression can be used to answer.\n",
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"- Be able to fit a linear regression model with multiple predictor variables.\n",
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"- Be able to fit logistic regression model with multiple predictor variables.\n",
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"- Be able to extract and summarise the results from a range of regression models.\n",
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"- Be able to design a regression model appropriate for addressing their specific research question.\n",
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"- Learn to fit a linear regression model with multiple predictor variables.\n",
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"- Learn to fit logistic regression model with multiple predictor variables.\n",
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"- Understand how to extract and summarise the results from a range of regression models.\n",
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"- Know how to design a regression model appropriate for addressing the participant's specific research question.\n",
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"## Pre-requisite Knowledge\n",
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"Learners are expected to already be familiar with the basics of R, such as how to load a dataset from a local file and manipulate variables.\n",
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"## Installation Guide \n",
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"All CfRR courses require attendees to use their own computer/laptop to follow workshop activities and take effective notes. \n",
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"\n",
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"As this course extends upon Introduction to R, the installation instructions for the base R elements are the same, available [here](intro_to_r.ipynb).\n",
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"Alongside having R itself, you will need some additional packages: \n",
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"Install necessary R packages\n",
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"Three packages are needed for this workshop. The first two (devtools & learnr) are available from CRAN. The third is a package we have developed with the course materials and is available from GitHub (cfrrRTutorials).\n",
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"Alongside having R itself, three packages are needed for this workshop. The first two (devtools & learnr) are available from CRAN. The third is a package we have developed with the course materials and is available from GitHub (cfrrRTutorials).\n",
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"This code will install these three packages.\n",
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"```\n",

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