Add installation instructions for downloading rmarkdown for regression courses via package

Author: liamjberrisford

individual_modules/regression_analysis_with_R/introduction_to_regression.ipynb

@@ -97,36 +97,6 @@
    "id": "1444d817-524d-4553-b96d-807e92e2f8c0",
    "metadata": {},
    "source": [
-    "## Overview of Workshop\n",
-    "\n",
-    "Welcome to Introductory Regression Analysis with R. Our aim is to provide you with a comprehensive introduction to the statistical tool regression and how to perform these analyses in R.\n",
-    "\n",
-    "By the end of this session you will be able to:\n",
-    "\n",
-    "* describe what regression is.\n",
-    "* fit a range of regression models with R including:\n",
-    "    * simple linear regression\n",
-    "    * multiple linear regression \n",
-    "    * logistic regression\n",
-    "* select the appropriate regression model for either a continuous or binary outcome\n",
-    "* describe the concept behind hypothesis testing in regression analysis\n",
-    "* interpret the coefficients of a regression model\n",
-    "* make predictions from a regression model\n",
-    "* describe the between regression and other common statistical tools\n",
-    "\n",
-    "## Pre-requisites\n",
-    "\n",
-    "This course will not include an introduction to R, or how to setup and use R or Rstudio. It is assumed you are comfortable coding in R and are familiar with:\n",
-    "\n",
-    "* how to write and execute commands in the R console\n",
-    "* what type of variables are available in R and how to work with these\n",
-    "\n",
-    "## Course Notes\n",
-    "\n",
-    "This tutorial contains the course notes, example code snippets plus explanations, exercises for you to try with solutions and quiz questions to test your knowledge. Attend a workshop on this topic means there are people on hand to help if you have any questions or issues with the materials. However, these have also been designed such that you should also be able to work through them independently. \n",
-    "\n",
-    "You can navigate through the section using the menu on the side.\n",
-    "\n",
     "# Introduction to Regression\n",
     "\n",
     "## What is Regression?\n",

individual_modules/section_landing_pages/advanced_regression_analysis_with_R.md

@@ -23,4 +23,17 @@ We also assume that you are comfortable with fitting in R and interpreting the o
 -   multiple linear regression with categorical, binary or continuous predictor variables
 -   logistic regression
 
-If not we recommend that you consult our pre-requisite course [Introductory Regression Analysis with R](regression_analysis_with_R.md).
+If not we recommend that you consult our pre-requisite course [Introductory Regression Analysis with R](regression_analysis_with_R.md).
+
+## Install necessary R packages
+
+There are three packages need for this workshop. The first two (devtools & learnr) are available from CRAN. The third is a package we have developed with the course materials in and is available from GitHub (cfrrRTutorials). 
+
+This code will install these three packages.
+
+```
+install.packages("devtools") 
+install.packages("learnr") 
+library(devtools)
+devtools::install_github("ejh243/cfrr-r-tutorials")
+```

individual_modules/section_landing_pages/regression_analysis_with_R.md

@@ -12,4 +12,17 @@ Regression analysis is a fundamental statistical technique used to model the rel
 
 ## Pre-requisite Knowledge
 
-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.
+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.
+
+## Install nessescary R packages
+
+There are three packages need for this workshop. The first two (devtools & learnr) are available from CRAN. The third is a package we have developed with the course materials in and is available from GitHub (cfrrRTutorials). 
+
+This code will install these three packages.
+
+```
+install.packages("devtools") 
+install.packages("learnr") 
+library(devtools)
+devtools::install_github("ejh243/cfrr-r-tutorials")
+```