R Data Frames §
Cool functions §
Basic dplyr §
dplyr::filter(df, condition)
- e.g.
dplyr::filter(df, age<span class="text-highlight">10 & name</span>'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