Complete R Programming course: Beginner to Advanced Level

Explore crafting complex arithmetic expressions in R by writing formulas as code, mastering parentheses, exponents, and base-specific logs, and using log and exp for time series transformations.

Explore how to create vectors in R with the c function, building numeric, character, logical, and complex vectors, and use mode to identify data types.

Learn to generate numeric sequences in r with seq and colon notation, specifying start, end, and a gap; see 2 to 20 by twos and 5 to -5 by -2.

Learn to create vectors with named elements in R using names() and length() to count elements, illustrated with a gender count example for females and males.

Learn how cbind combines multiple vectors into a matrix column. Apply conditions to subset vectors, such as ages over 25 and filtering by gender to return IDs.

Create matrices with a matrix function using rows and columns, observe default column-wise filling. Build a 3 by 4 matrix from 1 to 12, then fill by rows by setting by row to true.

Create a matrix from a vector and assign three rows, then explore its attributes with mode, length, and dimension, and obtain rows and columns using nrow and ncol.

Name the rows and columns of a matrix in R with the time names function by passing a list of three row ranges and column labels (males, females).

Explore matrix subscripting in R by selecting rows and columns with square brackets, using blanks for all, colons for ranges, and negatives to omit, creating a new matrix.

Explore array attributes in R, including mode, length, and three dimensions, assign dimension names (A–D, X1–X3), and learn subscripting to extract data using blank, positive, negative, or logical indices.

Learn how lists enable multi-modal data in R by storing various object types, from vectors and matrices to logical arrays, and discover how to create and manipulate simple lists.

Explore list attributes by using length to count elements, names to reveal element identifiers, and mode to identify multimode data types within lists.

Reference list elements with double brackets; access first (numeric vector) and second (matrix of character values) with single brackets, and use the dollar sign for elements like vec; apply mode.

Append elements to a list using square brackets or a dollar sign to name items. Create and populate empty lists with a matrix and a numeric vector.

Learn to subset a data frame by selecting columns and rows with positive, negative, and logical subscripts. Filter temperatures greater than 85 Fahrenheit and identify the days meeting that condition.