# How to Replicate Rows in Data Frame in R

You can use the following methods to replicate rows in a data frame in R using functions from the dplyr package:

Method 1: Replicate Each Row the Same Number of Times

```library(dplyr)

#replicate each row 3 times
df %>% slice(rep(1:n(), each = 3))```

Method 2: Replicate Each Row a Different Number of Times

```library(dplyr)

#replicate the first row 3 times and the second row 5 times
df %>% slice(rep(1:n(), times = c(3, 5)))```

The following examples show how to use each method in practice.

## Example 1: Replicate Each Row the Same Number of Times

Suppose we have the following data frame with two rows in R:

```#create data frame
df <- data.frame(team=c('A', 'B'),
points=c(10, 15),
rebounds=c(4, 8),
assists=c(2, 5))

#view data frame
df

team points rebounds assists
1    A     10        4       2
2    B     15        8       5
```

We can use the following syntax to repeat each row in the data frame three times:

```library(dplyr)

#create new data frame that repeats each row in original data frame 3 times
new_df <- df %>% slice(rep(1:n(), each = 3))

#view new data frame
new_df

team points rebounds assists
1    A     10        4       2
2    A     10        4       2
3    A     10        4       2
4    B     15        8       5
5    B     15        8       5
6    B     15        8       5```

Notice that each of the rows from the original data frame have been repeated three times.

## Example 2: Replicate Each Row a Different Number of Times

Suppose we have the following data frame with two rows in R:

```#create data frame
df <- data.frame(team=c('A', 'B'),
points=c(10, 15),
rebounds=c(4, 8),
assists=c(2, 5))

#view data frame
df

team points rebounds assists
1    A     10        4       2
2    B     15        8       5
```

We can use the following syntax to repeat the first row three times and the second row five times:

```library(dplyr)

#create new data frame that repeats first row 3 times and second row 5 times
new_df <- df %>% slice(rep(1:n(), times = c(3, 5)))

#view new data frame
new_df

team points rebounds assists
1    A     10        4       2
2    A     10        4       2
3    A     10        4       2
4    B     15        8       5
5    B     15        8       5
6    B     15        8       5
7    B     15        8       5
8    B     15        8       5```

Notice that the first row in the original data frame has been repeated three times and the second row has been repeated five times.