Slice() function

What does slice() function do in R?

The slice function helps us extract rows from any data frame using their positions.

How does slice() differ from other functions like filter() in dplyr?

The filter function can be used when we want to extract rows with particular condition on them, whereas the slice() function has nothing to do with the conditions as it is purely based on the position.

Does slice() modify the original data frame?

No, it does’nt modify the original data frame, but returns the a new dataframe containing the selected rows.

Can I use negative positions with slice()?

Yes, you can absolutely use negative indices as positions with the slice() function.

What happens if I provide positions that are out of range?

If the index given is larger than the number of rows in the dataframe, then it would result in an error.

With so much data around us in today’s world, dealing with them becomes tough. In this case, the Dplyr data frame package from R acts as a lifesaver and that package stands out as a powerful and versatile tool. for data manipulation. In R Programming Language package has many functions and among them, slice() is particularly useful for extracting specific rows from any data frame based on their indexes (positions).

In this article, we will look at the details of this slice() function and explore how can it help in the data manipulation process.