pdlyr mutate string extract

library(dplyr)

# Assuming you have a data frame named 'df' with a column named 'text'

df <- df %>%
  mutate(new_column = str_extract(text, pattern))

1. Load the dplyr library: R library(dplyr)
2. Assuming you have a data frame named 'df' with a column named 'text': R df <- df %>%
3. Use the mutate function to create a new column named 'new_column': R mutate(new_column = str_extract(text, pattern))
4. mutate: Function from dplyr to add new variables to the data frame.
5. new_column: The name of the new column to be created.
6. str_extract: Function from stringr library to extract the first occurrence of a pattern in a string.
7. text: The column from which to extract the pattern.
8. pattern: The pattern to be extracted from the 'text' column.

Replace 'df' with the actual name of your data frame and adjust 'text' and 'pattern' accordingly.