About
1
Introduction
1.1
Data science, or why we should learn R
1.2
What working with R looks like
1.2.1
Example: Poland in the FIFA ranking
1.3
Setting up the environment
1.3.1
Installing basic R environment
1.3.2
Installing RStudio
1.3.3
Installing additional packages
1.4
Further information
2
R Basics
2.1
Loading data
2.2
Data structures
2.2.1
Vectors
2.2.2
Data frames
2.2.3
Lists
2.3
Descriptive statistics
2.3.1
Quantitative variables
2.3.2
Qualitative variables
2.4
Visual statistics
2.4.1
Bar plot, barplot() function
2.4.2
Histogram, hist() function
2.4.3
Box plot: boxplot()
2.4.4
Kernel density estimator, density() function
2.4.5
Scatter plot, scatterplot() function
2.4.6
Mosaic plot, mosaicplot() function
2.5
How to process data with the dplyr package
2.5.1
How to filter rows
2.5.2
How to choose columns
2.5.3
How to create and transform variables
2.5.4
How to sort rows
2.5.5
How to work with streams
2.5.6
How to compute aggregates/statistics in groups
2.5.7
Wide and long formats
2.5.8
Uniting/separating columns
2.6
How to load and save data in various formats
2.6.1
Loading data from text files
2.6.2
Loading data from text files
2.6.3
Saving data into text files
2.6.4
Loading and saving JSON data
References
IntRoduction to R
References