R CODER

DATA STRUCTURES IN R

Data structures in R refer to the various formats used to organize and store data efficiently within the R programming language, such as vectors, matrices, lists or data frames

STRUCTURE TYPES

The following are the different R structures, ordered from simplest to most complex according to their information storage capacity

Learn how to create vectors in R programming with the c function

Vector

c()

Create factors in R to represent categorical data

Factor

factor()

Create lists in R to store any type of R objects

List

list()

Create matrices in R with the matrix function

Matrix

matrix()

Create, modify and subset R data frames

Data frame

data.frame()

STRUCTURE EXPLORATION

The exploration functions serve to understand the organization and dimensions of the data, facilitating the initial inspection and understanding of the structure of the data sets in R

Get the length of a vector in R

Get the length of vectors

length() lengths()

The head and tail functions in R to print the first or last elements or rows of a vector or data frame

head and tail functions

head() tail()

Get the number of rows and columns in R

Number of rows and columns

nrow() ncol() dim()

Row and column names in R

Row and column names

rownames() colnames() dimnames()

which.min and which.max functions in R

Index of the first minimum or maximum value of a vector

which.min() which.max()