R Data Structures: Introduction to Vectors - Part 1

vectors_gist_1.R

# create a numeric vector using c()
num_vect <- c(1, 2.3, 5)
num_vect

# test the data structure
is.vector(num_vect)

# test the data type
class(num_vect)

# create vector using colon
vect1 <- 1:10
vect1

# create a vector using replicate function
vect2 <- rep(1:5, 2)
vect2

# create a function using the sequence function
vect3 <- seq(10)
vect3

# integer vector
int_vect <- c(1L, 2L, 3L)
int_vect

# test data type
class(int_vect)

# create integer vector using colon
vect1 <- 1L:10L
vect1

# create integer a vector using replicate function
vect2 <- rep(1L:5L, 2)
vect2

# create integer a function using the sequence function
vect3 <- seq(10L)
vect3

# character vector
greetings <- c('good', 'morning')
greetings

# test data type
class(greetings)

# error if elements not enclosed in quotes
name <- c(Jovial, Mann)

# logical vectors
vect_logic <- c(TRUE, FALSE, FALSE, TRUE, TRUE)
vect_logic

# test data type
class(vect_logic)

# coerce integer vector to type logical
int_vect <- rep(0:1, 3)
int_vect

log_vect <- as.logical(int_vect)
log_vect

# naming vector elements
# method 1
# create the vector
vect1 <- c(1, 2, 3)

# specify the names of the elements 
names(vect1) <- c('One', 'Two', 'Three')
vect1

# method 2
# specify name of the elements while creating the vector
vect2 <- c(One = 1, Two = 2, Three = 3)
vect2
names(vect2)


# vector operations
# case 1: vectors of equal length
vect1 <- c(1, 3, 8, 4)
vect2 <- c(2, 7, 1 , 9)

# vector addition
vect1 + vect2

# vector subtraction
vect1 - vect2

# vector multiplication
vect1 * vect2

# vector division
vect1 / vect2

# case 2: vectors of unequal length
vect1 <- c(1, 8, 5, 2)
vect2 <- c(2, 7)

# vector addition
vect1 + vect2

# vector subtraction
vect1 - vect2

# vector multiplication
vect1 * vect2

# vector division
vect1 / vect2