Topics

• Getting started with R Language
• Data frames
• Reading and writing tabular data in plain-text files (CSV, TSV, etc.)
• GROUP BY
• Pipe operators (%>% and others)
• Linear Models (Regression)
• Sorting
• data.table
• Factors
• Pattern Matching and Replacement
• Run-length encoding
• Date and Time
• Lists
• Introduction to Geographical Maps
• Base Plotting
• Set operations
• tidyverse
• Subsetting
• Installing packages
• Distribution Functions
• lubridate
• Reshaping data between long and wide forms
• Missing values
• Getting started with data.table
• Classes
• Raster and Image Analysis
• Adding and modifying columns
• Creating a data.table
• Subsetting rows by group
• Computing summary statistics
• Using .SD and .SDcols for the subset of data
• Reproducible R
• Reshaping, stacking and splitting
• Using list columns to store data
• Joins and merges
• Using keys and indices
• Cleaning data
• Meta: Documentation Guidelines
• I/O for foreign tables (Excel, SAS, SPSS, Stata)
• I/O for database tables
• I/O for geographic data (shapefiles, etc.)
• I/O for raster images
• I/O for R's binary format
• Reading and writing strings
• Input and output
• Recycling
• Regular Expressions (regex)
• Combinatorics
• Inspecting packages
• Hierarchical clustering with hclust
• Why is my old code not working?
• Variables
• The Date class
• The logical class
• The character class
• Numeric classes and storage modes
• Matrices
• Date-time classes (POSIXct and POSIXlt)
• Using texreg to export models in a paper-ready way
• Publishing
• Reshape using tidyr
• Modifying strings by substitution
• Aggregating data frames
• Creating packages with devtools

Examples

• Printing and displaying strings
• Importing data with rio
• Basic use and chaining
• Creating a data.table
• Rds and RData (Rda) files
• Run-length Encoding with `rle`
• Adding and modifying columns
• Current Date and Time
• Formatting Dates
• Formatting and printing date-time objects
• Parsing strings into date-time objects
• Importing Excel files
• Making substitutions
• Finding Matches
• Set operators for pairs of vectors
• Set membership for vectors
• Cartesian or "cross" products of vectors
• Make unique / drop duplicates / select distinct elements from a vector
• Measuring set overlaps / Venn diagrams for vectors
• Import and Export Shapefiles
• Read and write Stata, SPSS and SAS files
• Vectors
• Creating matrices
• Introduction
• Introduction to lists
• Functional sequences
• Normal distribution
• melt and cast with data.table
• Parsing dates and datetimes from strings with lubridate
• Date-time arithmetic
• Reshape using `data.table`
• Reshape from long to wide format with spread()
• Reading from or writing to a file connection
• Examining missing data
• Reading and writing data with NA values
• Installation and setup
• Using NAs of different classes
• The reshape function
• Load a multilayer raster
• Inspect classes
• Factors
• Getting started and finding help
• Editing values
• Coerce a data.frame
• Syntax and features
• Selecting rows within each group
• Counting rows by group
• Custom summaries
• Using .SD and .SDcols
• Vector indexing
• Numeric
• Coercion
• Logical operators
• Dates
• Assignment with %<>%
• Installing R
• Build with data.table()
• Read in with fread()
• Modify a data.frame with setDT()
• Copy another data.table with copy()
• Selecting groups
• Selecting groups by condition
• Rearrange character strings using capture groups
• The summary function
• Applying a summarizing function to multiple variables
• Data reproducibility
• Going from wide to long format using melt
• Capture output of operating system command
• Printing linear regression results
• Stacking multiple tables using rbindlist
• Reading Data from MySQL Databases
• Reading in many related files
• Update values in a join
• Equi-join
• Reordering columns
• Renaming columns
• Modifying factor levels and other column attributes
• Improving performance for selecting subsets
• Handling duplicates
• Variables, data structures and basic Operations
• Exposing contents with %$%
• Import or Export of Feather file
• Making good examples
• Style
• Parsing Strings into Date Objects
• Checking for nonlinearity with polynomial regression
• Reading and writing data frames
• Hello World!
• Enumerating combinations of a specified length
• Counting combinations of a specified length
• View package information
• View package's built-in data sets
• List a package's exported functions
• Creating side effects with %T>%
• tidyverse: an overview
• Getting Started with R_Plots
• Binomial Distribution
• unique and duplicated no longer works on keyed data.table
• Vectors and lists
• Omitting or replacing missing values
• Coercion
• Interpretation of NAs
• Formatting tables
• Formatting entire documents
• Getting Help
• Reshape from wide to long format with gather()
• Eliminate duplicated consecutive elements