dplyr

pipe operator

%>%

This function selects a subset of rows based on logical conditions applied to column values.

filter ()

filter OR

|

It divides the data frame into groups based on one or more variables, allowing subsequent operations (like `summarise()`) to be performed independently within each group

group_by ()

This verb *collapses a group of rows into a single row*, typically used to compute summary statistics.

summarize()

This function *adds new columns* that are derived from existing columns, or it can modify the values of existing columns.

mutate ()

This command chooses rows based on their *integer locations*.

slice ()

This verb *reorders the rows* of a data frame based on the values of one or more columns

arrange ()

order a column in descending order

arrange (desc(XXX))

randomly selects rows based on n = x or prop = x

slice_sample ()

This function changes *which columns are included* in the data frame

select ()

select columns NOT having this title

select (!(XXX, YYY))

This verb *changes the name of columns* while preserving all other columns in the data frame.

rename ()