R
R
R
All require the tidyverse package
tibble()
: Entering data as a tibble. Give each column a name and assign its values with an equals sign, =. Separate columns with a comma ,.glimpse()
: Show the name of every column in your data frame, as well as their class and first few values.view()
: Look at your entire tibble as a scrollable spreadsheet.mutate()
: Add a new column, usually as some function of existing columns.arrange()
: Sort rows from low to high (or from high to low with arrange(
desc()
)
) values of a specified column.filter()
: Limit your dataset to those with certain values in specifed columns.select()
: Select columns of interest (or remove ones you do not care about with select(-))
from your tibble. ```