-
Notifications
You must be signed in to change notification settings - Fork 2
/
R_Class_I_Script
130 lines (96 loc) · 4.03 KB
/
R_Class_I_Script
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
###############
## R_CLASS_I ##
###############
#Welcome to R I!
#This is the first of a series of three introductory classes on R.
#In the first class, R I, we'll discuss the origins and basic functions of R.
#In this class we'll look at:
#1. What is R?
#2. What can R be aused for?
#3. A tour around R & RStudio
#4. Importing data
#5. Examining data
##################
##1. What is R? ##
##################
#R is a programming language and open-source statistical programming tool
#It can be used for data analysis, visualising data and developing software
#We're going to use RStudio where you can see your data and commands in 4 panels
#The four panels are the console, where you execute commands;
#A history panel; a workspace for display and a file/plot space
###############################
##2. What can R be used for? ##
###############################
#There are many reasons why R has become more popular in recent years
#Some of the reasons are that it can be used for analysis and visuals
#It’s powerful, free, has a large community of users and packages
#################################
##3. A tour around R & RStudio ##
#################################
#R is the program and language
#RStudio is the user interface or GUI that we’ll be using
#RStudio is useful as you can see your data and commands in 4 panels
#The four panels are:
#1.The console is in the bottom left corner
#This is where you execute commands
#Execute is just a fancy word for run
#Let’s try to run a command
#You can use the console like a calculator
5+5
5*10
#Now you can try typing in a command…
#2.The source editor
#This is directly above the console, in the top left corner
#Here you can write and edit scripts
#You can also run scripts from this area
#It also acts as a dataviewer
#When you open a dataset, it will appear here
#That way you can view and inspect datasets that are loaded into the R environment
#3.The workspace
#In the top right corner is the workspace
#Here you can view objects in their global environment
#This means viewing what else is loaded onto the directory the scripts are being run from
#You can also use the top right corner pane to search your command history
#This allows you to see the scripts and commands you have used in context
#It can be useful when you want to reuse parts of a script
#What does the history pane show you?
#4.File and plot space
#This is in the lower right pane
#Here you can view the packages you have installed, plots that you make and R help
#What can you see is loaded into the Studio environment under the “File” tab?
#You can get different views by toggling between different screens
#Let’s look at the help command for View
#Type this into the console
??View
######################
##4. Importing data ##
######################
#In order to work in R, we’re going to want to load some data
#There is some data already in our project, see the file panel
#What is it called?
#The data named DE_EDHIW and DE_PILW is from a group called the Luxembourg Income Study
#Earlier this year the Guardian published a series on intergenerational inequality
#This is the equivalised disposable income data for German household by the age of the head of the household
#Let's read one of the csv files into R
#To read in the data we’ll type…
read.csv("DE_EDHIW.csv")
#What can you see?
#Now in this case we want to give the dataset a name
#Or assign the csv a name
disposableincome <- read.csv("DE_EDHIW.csv")
#In R the default when a csv is being read in by R is to treat the first row as a header row
#Let’s open our data and take a look
#The command to see the data in a tabulated format is View
View(disposableincome)
######################
##5. Examining data ##
######################
#What does the data look like?
#What kinds of things might you want to find from this data?
#What are the top lines you would want to find from the data?
#We’re going to analyse the data for some story lines in the next session!
###################
## Caelainn Barr ##
## The Guardian ##
## @caelainnbarr ##
###################