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R is one of the most popular programming languages for working with data. But before we can work with data, we have to actually get data into R!

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:

However, sometimes you may want to manually enter raw data into R. This tutorial explains how to do so.

**Enter a Vector**

We can use the following syntax to enter a single vector of numeric values into R:

#create vector of numeric values numeric_values #display class of vector class(numeric_values) [1] "numeric" #display vector of numeric values numeric_values [1] 1 3 5 8 9 #return second element in vector numeric_values[4] [1] 8

We can use the same syntax to enter a vector of character values:

#create vector of character values char_values #display class of vector class(char_values) [1] "character"

**Enter a Data FrameÂ **

We can use the following syntax to enter a data frame of a values in R:

#create data frame df #display data frame df team points assists 1 A 12 4 2 A 15 7 3 B 17 7 4 B 24 8 5 C 27 12 #display class of df class(df) [1] "data.frame" #return value in fourth row and third column df[4, 3] [1] 8

**Enter a Matrix**

We can use the following syntax to enter a matrix of values in R:

#create matrix with two columns and five rows points=c(12, 15, 17, 24, 27) assists=c(4, 7, 7, 8, 12) #column bind the two vectors together to create a matrix mat #display matrix mat points assists [1,] 12 4 [2,] 15 7 [3,] 17 7 [4,] 24 8 [5,] 27 12 #display class of mat class(mat) [1] "matrix" #return value in fourth row and second column mat[4, 2] assists 8

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

You can find more R tutorials here.