To reshape data from wide to long format by gathering columns into key-value pairs.

To replace specific values with missing values (NA).

To return the first non-missing value from a set of vectors.

To perform element-wise conditional operations on vectors or data frames.

To determine if values fall within a specified range.

To select the top (or bottom) n rows within each group based on a specified variable.

To count the frequency of each unique value in a variable.

To create conditional transformations based on multiple conditions.

To apply a function to multiple columns in a data frame.

To apply a custom function to each group in a grouped data frame and return the results as a new data frame.

To rename all columns in a data frame based on specified functions or patterns.

To sort rows of a data frame based on the values in all columns.

To apply a summarization function to all columns in a data frame.

To group a data frame by all its columns.

To select columns in a data frame based on specified conditions applied to each column.

To apply a transformation to all columns in a data frame and create new columns with the results.

To filter rows in a data frame based on conditions applied to all columns.

To perform a semi-join between two data frames, returning only the rows from the first data frame that have matching values in specified columns with the second data frame.

To perform an anti-join between two data frames, keeping only the rows from the first data frame that do not have matching values in specified columns with the second data frame.

To perform an inner join between two data frames, merging them based on matching values in specified columns.