R is one of the most popular and powerful programming languages used in data analytics.

If you already have your data located in a CSV file or Excel file, you can follow the steps in these tutorials to import it into R:

- How to Import CSV Files into R
- How to Import Excel Files into R

However, sometimes you may want to manually enter raw data into R. Let see how to do it

#### Entering a Vector in R

If you want to enter a single vector of numeric values into Rm, use the following syntax:

#create vector of numbers #Method 1 numbers <- (1:25) #Method 2 even <- c(2,4,6,8,10) #display class of vector class(numbers) [1] "integer" class(even) [1] "numeric" #display vector of numeric values numbers [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 even [1] 2 4 6 8 10 #return fifth element in vector numbers[5] [1] 5 even[5] [1] 10

Use the same syntax to enter a vector of character values as well

#create vector of character values metal <- c("iron", "silver", "gold", "steel") #display class of vector class(metal) [1] "character" #display vector of character values metal [1] "iron" "silver" "gold" "steel"

#### Entering a DATAFRAME in R

If you want to create a data frame use the following syntax

#create data frame football_players <- data.frame(player=c("Salah", "Jesus", "Ozil", "Pepe", "Kane"), goals=c(15, 10, 8, 10, 16), assists=c(4, 7, 10, 4, 5)) #display data frame football_players player goals assists 1 Salah 15 4 2 Jesus 10 7 3 Ozil 8 10 4 Pepe 10 4 5 Kane 16 5 #display class of df class(football_players) [1] "data.frame" #return value in third row and second column football_players[3,2] [1] 8

#### Entering a Matrix in R

If you want to create a matrix use the following syntax

#create matrix with two columns and five rows goals=c(15, 10, 8, 10, 16) assists=c(4, 7, 10, 4, 5) #column bind the two vectors together to create a matrix mat <- cbind(goals, assists) #display matrix mat goals assists [1,] 15 4 [2,] 10 7 [3,] 8 10 [4,] 10 4 [5,] 16 5 #display class of mat class(mat) [1] "matrix" "array" #return value in fourth row and second column mat[4, 2] assists 4

Note: A matrix requires each column to be the same type, unlike data frames.

You learn more about Data analysis using R here.