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DoSS Toolkit

1 Preface
Hello World!
2 Introduction
3 Getting and setting up RStudio
4 Getting to know what is what
5 Hello World!
6 Hello World, again!
7 Hello World, yet again!
8 The R community
Operating in an error prone world
9 Introduction
10 Getting help is normal!
11 Using Google and Stack Overflow
12 Even more on Stack Overflow
13 When your code doesn’t work
14 Making reproducible examples
15 How to make the most of R’s cryptic error messages
Holding the chaos at bay
16 Introduction
17 R Projects and working directory
18 Folder set-up
19 Writing comments
20 Installing packages
21 Install from GitHub
22 Calling packages
23 How to update packages
24 Read CSVs
25 Reading tables dta and other data types
Hand me my plyrs
26 Introduction
27 What is the tidyverse?
28 The pipe
29 select
30 filter
31 group and ungroup
32 summarise
33 arrange
34 mutate
35 Pivoting data from long to wide and vice versa
36 rename
37 Counting
38 slice
39 Representations of data
40 length, rows, columns and dimensions
Totally addicted to base
41 Introduction
42 mean, median, sd, lm, and summary
43 Generalized linear models with glm
44 Mixed-effect linear models with lme4
45 function
46 for and while
47 if, if else and case when
48 c, seq, seq along, and rep
49 hist, plot and boxplot
50 apply, sapply, and lapply
51 File creation and manipulation
52 sum round etc
53 Investigating and playing with data
54 row and column names
55 floor(), ceiling(), round(), and abs()
He was a d8er boi
56 Introduction
57 head, tail, glimpse and summary
58 paste, paste0, glue and stringr
59 names, rbind and cbind
60 Joins
61 Looking for missing data
62 setseed, runif, rnorm, and sample
63 Simulating datasets for regression
64 Conditional mutating and summarising
65 Tidying up datasets
66 pull, pluck and unnest
67 forcats and factors
68 More on strings
69 Working with dates
70 Regular expressions
71 janitor
To ggplot or not to ggplot
72 Introduction
73 Overview of ggplot2
74 Histograms
75 Scatter plots
76 Various useful options
77 Saving graphs
78 gganimate
79 Some other geom
80 other geoms 2
81 Examples
82 Exercises
83 Exercise 1
84 Exercise 2
85 Exercise 3
86 Exercise 4
R Marky Markdown and the Funky Docs
87 Introduction
88 Introduction to R Markdown
89 Top Matter: Title, Date, Author, Abstract
90 Tables: kable, kableextra, and gt
91 Multiple plots with patchwork
92 References and Bibtex
93 PDF outputs
94 here and filepaths
Git outta here
95 Introduction
96 What is version control and GitHub?
97 Git: pull, status, add, commit, push
98 Branches in GitHub
99 Dealing with conflicts
100 Putting (G)it All together in RStudio
101 Projects issues
Indistinguishable from magic
102 Introduction
103 Iteration
104 Coding style
105 Static maps using ggmap
106 Writing R Packages
107 Writing R Packages II
108 Getting started with Blogdown
109 Distill and postcards
110 Getting started with Shiny
111 tidymodels

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82 Exercises

Test out your knowledge by trying these simple exercises:

81 Examples

83 Exercise 1