0
Skip to Content
Stats with R
Home
Resources
R Tutorials
R Functions
External R Resources
Foundational Statistics
Products
Mental Health Screener
Free R Apps
Random Password Generator
Improved Scrambler App
Scrambler App
Curve Fitting App
Website Info
Our Team
Contact
Login Account
Search
Stats with R
Home
Resources
R Tutorials
R Functions
External R Resources
Foundational Statistics
Products
Mental Health Screener
Free R Apps
Random Password Generator
Improved Scrambler App
Scrambler App
Curve Fitting App
Website Info
Our Team
Contact
Login Account
Search
Home
Folder: Resources
Back
R Tutorials
R Functions
External R Resources
Foundational Statistics
Folder: Products
Back
Mental Health Screener
Folder: Free R Apps
Back
Random Password Generator
Improved Scrambler App
Scrambler App
Curve Fitting App
Folder: Website Info
Back
Our Team
Contact
Login Account
Search
Michael Harris 1/5/24 Michael Harris 1/5/24

The “mapply” Function in R

Applies a function to multiple lists or vectors, taking one element from each input list at a time.

Read More
Michael Harris 1/5/24 Michael Harris 1/5/24

The “do.call” Function in R

Calls a function with a list of arguments.

Read More
Michael Harris 1/4/24 Michael Harris 1/4/24

The “tapply” Function in R

Applies a function to subsets of a vector or data frame broken down by one or more factors.

Read More
Michael Harris 1/4/24 Michael Harris 1/4/24

The “apply” Function in R

Applies a function to the rows or columns of a matrix, or the margins of an array.

Read More
Michael Harris 1/4/24 Michael Harris 1/4/24

The “lapply” Function in R

Applies a function to each element of a list and returns a list.

Read More
Michael Harris 1/3/24 Michael Harris 1/3/24

The “sapply” Function in R

Applies a function to each element of a list or vector and simplifies the result into an array, vector, or matrix.

Read More
Michael Harris 1/3/24 Michael Harris 1/3/24

The “ncol” Function in R

Retrieves the number of columns in an array, matrix, or data frame.

Read More
Michael Harris 1/3/24 Michael Harris 1/3/24

The “nrow” Function in R

Retrieves the number of rows in an array, matrix, or data frame.

Read More
Michael Harris 1/2/24 Michael Harris 1/2/24

The “rownames” Function in R

Gets or sets the row names of matrices or data frames.

Read More
Michael Harris 1/2/24 Michael Harris 1/2/24

The “colnames” Function in R

Gets or sets the column names of matrices or data frames.

Read More
Michael Harris 1/2/24 Michael Harris 1/2/24

The “names” Function in R

Gets or sets the names of objects, such as vectors, lists, or data frames.

Read More
Michael Harris 1/1/24 Michael Harris 1/1/24

The “dim” Function in R

Gets or sets the dimensions of arrays (matrices, data frames).

Read More
Michael Harris 1/1/24 Michael Harris 1/1/24

The “rbind” Function in R

Combines vectors, matrices, or data frames by row.

Read More
Michael Harris 1/1/24 Michael Harris 1/1/24

The “cbind” Function in R

Combines vectors, matrices, or data frames by column.

Read More
Michael Harris 12/31/23 Michael Harris 12/31/23

The “array” Function in R

Creates an array, a multi-dimensional extension of a matrix.

Read More
Michael Harris 12/31/23 Michael Harris 12/31/23

The “list” Function in R

Creates a list, an ordered collection of objects.

Read More
Michael Harris 12/31/23 Michael Harris 12/31/23

The “matrix” Function in R

Creates a matrix, a two-dimensional array with rows and columns.

Read More
Michael Harris 12/30/23 Michael Harris 12/30/23

The “data.frame” Function in R

Creates a data frame, a two-dimensional structure for storing data with rows and columns.

Read More
Michael Harris 12/30/23 Michael Harris 12/30/23

The “c” Function in R

Concatenates or combines objects to create a vector or list.

Read More
Michael Harris 12/30/23 Michael Harris 12/30/23

The “seq_along” Function in R

Generates a sequence of integers representing the indices of elements in an object.

Read More
Newer Posts
Older Posts

Your source for trusted R tutorials and resources!

Based in Charleston, South Carolina, this website is dedicated to all things R programming, and written with non-computer scientists in mind. Check the home page (where they are free to read) or Amazon for our two books covering the use of Keras to construct complex deep-learning models. We also have tutorials and R function documentation that provides the R code for a wide variety of tasks: data manipulation, hypothesis testing, statistical modeling, machine learning, artificial intelligence, multi-core processing, and R-Shiny application development.

Engage on LinkedIn, consider supporting us by subscribing to our YouTube Channel, and please see our disclaimer!

Want these tutorials in video format?

Subscribe to our YouTube channel!

Find Our R Programming Books on Amazon

As an Amazon Associate I earn from qualifying purchases.