# How to Generate a Sample Using the Sample Function in R?

In this article, we will discuss how to generate a sample using the sample function in R.

**Sample() function** is used to generate the random elements from the given data with or without replacement.

**Syntax**:

sample(data, size, replace = FALSE, prob = NULL)

where,

**data**can be a vector or a dataframe**size**represents the size of the sample**replace**is used to set the values again repeated if it is set to true**prob:**a vector of probability weights for obtaining the elements of the vector being sampled

### Example 1: Generate sample data from the vector

Here, we will generate the n sample data from the given vector with 11 elements using the sample function.

## R

`# consider the vector` `data=` `c` `(23,45,21,34,5,6,7,8,86,45,3)` ` ` `# get 4 random elements` `print` `(` `sample` `(data,4))` ` ` `# get 1 random element` `print` `(` `sample` `(data,1))` ` ` `# get 6 random elements` `print` `(` `sample` `(data,6))` |

**Output:**

[1] 45 7 5 34 [1] 3 [1] 5 23 8 21 6 45

### Example 2: Generate sample data from the vector by replacing

Here we are going to create a vector with 11 elements and generate the sample data with a replacement.

## R

`# consider the vector` `data=` `c` `(23,45,21,34,5,6,7,8,86,45,3)` ` ` `# get 4 random elements` `print` `(` `sample` `(data,4,replace=` `TRUE` `))` ` ` `# get 1 random element` `print` `(` `sample` `(data,1,replace=` `TRUE` `))` ` ` `# get 6 random elements` `print` `(` `sample` `(data,6,replace=` `TRUE` `))` |

**Output:**

[1] 45 5 5 3 [1] 86 [1] 5 5 8 7 8 45

### Example 3: Sampling with Uneven Probabilities Using sample Function

Here we are going to select the elements with higher probability than others by setting the probability using the prob parameter.

## R

`# consider the vector` `data=` `c` `(23,45,21,34,5)` ` ` `# get 10 random elements with probability` `print` `(` `sample` `(data, size = 10, replace = ` `TRUE` `, ` ` ` `prob = ` `c` `(0.6,0.1,0.1,0.1,0.1)))` |

Output:

[1] 23 23 23 23 23 45 23 23 23 23

### Example 4: Random Sampling of Data Frame Rows Using sample Function

Here we are going to sample the dataframe, let us create a dataframe and sample the rows.

## R

`# create dataframe with 2 columns` `data=` `data.frame` `(col1=` `c` `(1:10),col2=` `c` `(12:21))` ` ` `# get the sample of 4 in each column` `data[` `sample` `(1:` `nrow` `(data), size = 4), ]` |

**Output:**

### Example 5: Random Sampling of List Elements Using sample Function

Here we are going to sample the data in the list with size 4

## R

`# create list with some integers` `data=` `list` `(1,2,3,4,5,6)` ` ` `# get the sample of 4` `data[` `sample` `(1:` `length` `(data), size = 4)]` |

**Output:**

[[1]] [1] 2 [[2]] [1] 1 [[3]] [1] 4 [[4]] [1] 6