1. select()

2. filter()

3. arrange()

4. rename()

5. mutate()

• Tip: specify the labels attribute can name the new variables.

Working example:

6. group_by()

7. summarize()

Working example:

mtcars %>% group_by(cyl) %>% summarize(mean(mpg), sd(mpg))

## # A tibble: 3 × 3
##     cyl `mean(mpg)` `sd(mpg)`
##   <dbl>       <dbl>     <dbl>
## 1     4        26.7      4.51
## 2     6        19.7      1.45
## 3     8        15.1      2.56

See also: Transforming data frame

8. left_join()

When querying/merging tables, can preserve rows that do not contain the key word. However, consistency of variable names must be checked when carrying out the joining.

See also: Left outer join