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The post What is the best way to filter by row number in R? appeared first on Data Science Tutorials

What is the best way to filter by row number in R?, The slice function from the dplyr package can be used to filter a data frame by row number using the following methods.

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Method 1: Filter by Specific Row Numbers

`df %>% slice(2, 3, 8)`

Rows 2, 3, and 8 will be returned as a result of this.

Method 2: Filter by Range of Row Numbers

`df %>% slice(2:5)`

Rows 2 through 5 will be returned as a result of this.

With the following data frame in R, the following examples explain how to utilize each method in practice.

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Let’s create a data frame

```df <- data.frame(team=c('A', 'B', 'C', 'D', 'E', 'F', 'G', 'H'),
points=c(110, 120, 80, 16, 105, 185, 112, 112),
rebounds=c(18, 18, 14, 13, 12, 15, 17, 12))```

Now we can view the data frame

```df
team points rebounds
1    A    110       18
2    B    120       18
3    C     80       14
4    D     16       13
5    E    105       12
6    F    185       15
7    G    112       17
8    H    112       12```

## Example 1: Filter by Specific Row Numbers

To filter for rows 2, 3, and 8, we may use the following code.

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`library(dplyr)`

Let’s filter for only rows 2, 3, and 8

```df %>% slice(2, 3, 8)
team points rebounds
1    B    120       18
2    C     80       14
3    H    112       12```

From the original data frame, only rows 2, 3, and 8 are returned.

## Example 2: Filter by a row number range

To filter for rows between 2 and 5, we can use the following code.

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`library(dplyr)`

Now filter for rows between 2 and 5

```df %>% slice(2:5)
team points rebounds
1    B    120       18
2    C     80       14
3    D     16       13
4    E    105       12```

Only rows 2 to 5 from the original data frame are returned.

The post What is the best way to filter by row number in R? appeared first on Data Science Tutorials