R Data Frames

Cool functions

Basic dplyr

• dplyr::filter(df, condition)
  • e.g. dplyr::filter(df, age==10 & name=='yo')
• dplyr::select(df, col_names)
  • e.g. dplyr::select(df, age, -name) → age but not name
• dplyr::mutate(df, new_col_name = calculation_to_store)
  • e.g. dplyr::mutate(df, age_plus_one = age + 1)

Pipes

• %>% → pipe operations together
  • e.g. diamonds %>% filter (price > 100) %>% select(carat, price)
    • → df will automatically be inserted into next function, no need to supply it again