Learning R

• Getting started with R Language
• *apply family of functions (functionals)
• .Rprofile
• Aggregating data frames
• Analyze tweets with R
• ANOVA
• Arima Models
• Arithmetic Operators
• Bar Chart
• Base Plotting
• Bibliography in RMD
• boxplot
• caret
• Classes
• Cleaning data
• Code profiling
• Coercion
• Color schemes for graphics
• Column wise operation
• Combinatorics
• Control flow structures
• Creating packages with devtools
• Creating reports with RMarkdown
• Creating vectors
• Data acquisition
• Data frames
• data.table
• Date and Time
• Date-time classes (POSIXct and POSIXlt)
• Debugging
• Distribution Functions
• dplyr
• Expression: parse + eval
• Extracting and Listing Files in Compressed Archives
• Factors
• Fault-tolerant/resilient code
• Feature Selection in R - Removing Extraneous Features
• Formula
• Fourier Series and Transformations
• Functional programming
• Generalized linear models
• Get user input
• ggplot2
• GPU-accelerated computing
• Hashmaps
• heatmap and heatmap.2
• Hierarchical clustering with hclust
• Hierarchical Linear Modeling
• I/O for database tables
• I/O for foreign tables (Excel, SAS, SPSS, Stata)
• I/O for geographic data (shapefiles, etc.)
• I/O for raster images
• I/O for R's binary format
• Implement State Machine Pattern using S4 Class
• Input and output
• Inspecting packages
• Installing packages
• Introduction to Geographical Maps
• Introspection
• JSON
• Linear Models (Regression)
• Lists
• lubridate
• Machine learning
• Matrices
• Meta: Documentation Guidelines
• Missing values
• Modifying strings by substitution
• Natural language processing
• Network analysis with the igraph package
• Non-standard evaluation and standard evaluation
• Numeric classes and storage modes
• Object-Oriented Programming in R
• Parallel processing
• Pattern Matching and Replacement
• Performing a Permutation Test
• Pipe operators (%>% and others)
• Pivot and unpivot with data.table
• Probability Distributions with R
• Publishing
• R code vectorization best practices
• R in LaTeX with knitr
• R Markdown Notebooks (from RStudio)
• R memento by examples
• Random Forest Algorithm
• Random Numbers Generator
• Randomization
• Raster and Image Analysis
• Rcpp
• Reading and writing strings
• Reading and writing tabular data in plain-text files (CSV, TSV, etc.)
• Recycling
• Regular Expression Syntax in R
• Regular Expressions (regex)
• Reproducible R
• Reshape using tidyr
• Reshaping data between long and wide forms
• RESTful R Services
• RMarkdown and knitr presentation
• RODBC
• roxygen2
• Run-length encoding
• Scope of variables
• Set operations
• Shiny
• Solving ODEs in R
• Spark API (SparkR)
• spatial analysis
• Speeding up tough-to-vectorize code
• Split function
• sqldf
• Standardize analyses by writing standalone R scripts
• String manipulation with stringi package
• strsplit function
• Subsetting
• Survival analysis
• Text mining
• The character class
• The Date class
• The logical class
• tidyverse
• Time Series and Forecasting
• Updating R and the package library
• Updating R version
• Using pipe assignment in your own package %<>%: How to ?
• Using texreg to export models in a paper-ready way
• Variables
• Web Crawling in R
• Web scraping and parsing
• Writing functions in R
• xgboost

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