# Select variables of data frame in R

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Select variables of data frame in R, we will learn how to use the `select`

and `rename`

functions of the `dplyr`

package to select and rename variables in R.

We will use the `dplyr`

package to manipulate a data frame, which is a fundamental data structure in R.

The tutorial consists of two examples that demonstrate how to use the `select`

and `rename`

functions to select and rename variables.

**Creation of Example Data**

We will use the following data frame for the examples of this tutorial:

data <- data.frame(x1 = 1:3, x2 = LETTERS[1:3], x3 = 5) data # x1 x2 x3 # 1 1 A 5 # 2 2 B 5 # 3 3 C 5

This data frame contains three rows and three columns. We will use this data frame to demonstrate how to use the `select`

and `rename`

functions.

**Example 1: Extract Variables with select Function**

The `select`

function is used to extract specific variables from a data frame. We can use the `select`

function to extract the variables `x1`

and `x3`

from our data frame:

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select(data, c(x1, x3)) # x1 x3 # 1 1 5 # 2 2 5 # 3 3 5

This will return a subset of our original data frame containing only the two selected columns.

select(data, c(x1, -x3))

# x1

# 1 1

# 2 2

# 3 3

**Example 2: Change Variable Name with rename Function**

The `rename`

function is used to change the column names of specific variables. We can use the `rename`

function to change the name of the first column of our data frame from `x1`

to `x1_new`

:

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dplyr::rename(data, x1_new = x1) # x1_new x2 x3 # 1 1 A 5 # 2 2 B 5 # 3 3 C 5

This will return a new data frame with the modified column names.

**Conclusion**

In this tutorial, we have learned how to use the `select`

and `rename`

functions of the `dplyr`

package to select and rename variables in R.

We have demonstrated how to use these functions to extract specific variables from a data frame and change the column names of specific variables. With these functions, you can easily manipulate and analyze your data in R.

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