How can rows be added to a tibble based on the content of a specific column?

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To add rows to a tibble based on the content of a specific column, you can use the add_row() function from the dplyr package in R.

First, filter the tibble to select only the rows that meet the condition based on the specific column. Then, use the add_row() function to create a new row and append it to the original tibble.

Here's an example code:

library(dplyr)

# Create a sample tibble
my_tibble <- tibble(
  id = c(1, 2, 3, 4, 5),
  category = c("A", "B", "B", "C", "A"),
  value = c(10, 15, 20, 25, 30)
)

# Add a new row to the tibble for all categories that are "A"
my_new_row <- tibble(
  id = 6,
  category = "A",
  value = 35
)

my_tibble <- my_tibble %>%
  filter(category == "A") %>%
  add_row(my_new_row)

In this example, we create a new row with an ID of 6, a category of "A", and a value of 35. We then filter the tibble to only include rows where the category is "A", and use the add_row() function to append the new row to the filtered tibble.

The resulting tibble will have the original rows with IDs 1 and 5, as well as a new row with an ID of 6.