R skills workbook
1
About
2
Learn R
3
Installing R packages
4
Reading in data
5
Creating and writing data
6
Some useful R functions
7
Summarising and plotting the data
8
Extracting one variable from the data
9
Practice R
10
Measures of central tendency
10.0.1
Mean
10.0.2
Median
10.0.3
Mode
11
Measures of variation
11.0.1
Range
11.0.2
Variance and Standard deviation
11.0.3
Quartiles
12
Summary diagnostics in R
12.0.1
Taking a “snapshot” of the dataset
12.0.2
Summarizing the data
13
ANOVA example
14
ANOVA test
15
Linear Regression and T-tests
16
Simple Linear Regression
17
T-tests
17.1
Some questions to think about
18
A mystery to solve - the case of the defective biscuits
19
Gaining more familiarity with R
19.1
Variables and values
19.1.1
“Assignment” creates a copy of a value.
19.1.2
Vectors
19.2
Some more summary functions
19.3
Dataframes in R
19.4
Tidyverse
19.5
Data visualization
20
FAQs
20.1
How do I convert my survey scores into percentages?
20.2
How do I test my data for Normality?
20.2.1
Visual methods
20.2.2
Formal methods
20.3
How do I conduct multiple correlation tests?
20.4
How do I deal with missing data?
21
Recipes!
21.1
The second cookie recipe
22
Using set.seed
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Introductory statistics skills pack
Chapter 15
Linear Regression and T-tests