Getting started with R Language
*apply family of functions (functionals)
.Rprofile
ANOVA
Aggregating data frames
Analyze tweets with R
Arima Models
Arithmetic Operators
Bar Chart
Base Plotting
Bibliography in RMD
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
Date and Time
Date-time classes (POSIXct and POSIXlt)
Debugging
Distribution Functions
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
GPU-accelerated computing
Generalized linear models
Get user input
Hashmaps
Hierarchical Linear Modeling
Hierarchical clustering with hclust
I/O for R's binary format
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
Implement State Machine Pattern using S4 Class
Input and output
Inspecting packages
Installing packages
Introduction to Geographical Maps
Introspection
JSON
Linear Models (Regression)
Lists
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 Markdown Notebooks (from RStudio)
R code vectorization best practices
R in LaTeX with knitr
R memento by examples
RESTful R Services
RMarkdown and knitr presentation
RODBC
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
Run-length encoding
Scope of variables
Set operations
Shiny
Solving ODEs in R
Spark API (SparkR)
Speeding up tough-to-vectorize code
Split function
Standardize analyses by writing standalone R scripts
String manipulation with stringi package
Subsetting
Survival analysis
Text mining
The Date class
The character class
The logical class
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
boxplot
caret
data.table
dplyr
ggplot2
heatmap and heatmap.2
lubridate
roxygen2
spatial analysis
sqldf
strsplit function
tidyverse
xgboost

Matrices

Introduction#

Matrices store data

Creating matrices

← Machine learning
Meta: Documentation Guidelines →

This modified text is an extract of the original Stack Overflow Documentation created by the contributors and released under CC BY-SA 3.0 This website is not affiliated with Stack Overflow