# Convert dataframe to list of vectors in R

In this article, we will learn how to convert a dataframe into a list of vectors, such that we can use columns of the dataframes as vectors in the R Programming language.

### Dataframe columns as a list of vectors

as.list() function in R Language is used to convert an object to a list. These objects can be Vectors, Matrices, Factors, and data frames.

Syntax:as.list( object )

Parameter:Dataframe object in our case

Simply pass our sample dataframe object as an argument in **as.list(), **which will return a list of vectors.

**Example 1:**

## R

`df<-` `data.frame` `(c1=` `c` `(1:5),` ` ` `c2=` `c` `(6:10),` ` ` `c3=` `c` `(11:15),` ` ` `c4=` `c` `(16:20))` `print` `(` `"Sample Dataframe"` `)` `print ` `(df)` `list=` `as.list` `(df)` `print` `(` `"After Conversion of Dataframe into list of Vectors"` `)` `print` `(list)` |

**Output:**

[1] "Sample Dataframe" c1 c2 c3 c4 1 1 6 11 16 2 2 7 12 17 3 3 8 13 18 4 4 9 14 19 5 5 10 15 20 [1] "After Conversion of Dataframe into list of Vectors" $c1 [1] 1 2 3 4 5 $c2 [1] 6 7 8 9 10 $c3 [1] 11 12 13 14 15 $c4 [1] 16 17 18 19 20

**Example 2:**

## R

`df <- ` `data.frame` `(name = ` `c` `(` `"Geeks"` `, ` `"for"` `, ` `"Geeks"` `),` ` ` `roll_no = ` `c` `(10, 20, 30),` ` ` `age=` `c` `(20,21,22)` ` ` `)` `print` `(` `"Sample Dataframe"` `)` `print ` `(df)` `print` `(` `"Our list after being converted from a dataframe: "` `)` `list=` `as.list` `(df)` `list` |

**Output:**

[1] "Sample Dataframe" name roll_no age 1 Geeks 10 20 2 for 20 21 3 Geeks 30 22 [1] "Our list after being converted from a dataframe: " $name [1] Geeks for Geeks Levels: for Geeks $roll_no [1] 10 20 30 $age [1] 20 21 22

### Dataframe rows as a list of vectors

** ****split()** function in R Language is used to divide a data vector into groups as defined by the factor provided.

Syntax: split(x, f)

Parameters:

x: represents data vector or data framef: represents factor to divide the data

**Example:**

## R

`df<-` `data.frame` `(c1=` `c` `(1:5),` ` ` `c2=` `c` `(6:10),` ` ` `c3=` `c` `(11:15),` ` ` `c4=` `c` `(16:20))` `print` `(` `"Sample Dataframe"` `)` `print ` `(df)` `print` `(` `"Result after conversion"` `)` `split` `(df, 1:` `nrow` `(df))` |

**Output:**

[1] "Sample Dataframe" c1 c2 c3 c4 1 1 6 11 16 2 2 7 12 17 3 3 8 13 18 4 4 9 14 19 5 5 10 15 20 [1] "Result after conversion" $`1` c1 c2 c3 c4 1 1 6 11 16 $`2` c1 c2 c3 c4 2 2 7 12 17 $`3` c1 c2 c3 c4 3 3 8 13 18 $`4` c1 c2 c3 c4 4 4 9 14 19 $`5` c1 c2 c3 c4 5 5 10 15 20