Fast Data Aggregation, Modification, and Filtering with Pipes and 'data.table'
Return first non-missing element
Selects columns or rows from the data set
Copy an entire object
Convert data between wide and long forms.
Additional useful functions
Join two data.frames by common columns.
'dplyr'-like interface for data.table.
Modify, aggregate, select or filter data.frame/data.table
maditr: Pipe-Style Interface for 'data.table'
One-to-one interface for data.table '[' method
Objects exported from other packages
Evaluate expressions in curly brackets inside strings
Apply an expression to each element of a list or vector
Convert data to long or to wide form
Look up values in dictionary.
Provides pipe-style interface for 'data.table'. Package preserves all 'data.table' features without significant impact on performance. 'let' and 'take' functions are simplified interfaces for most common data manipulation tasks. For example, you can write 'take(mtcars, mean(mpg), by = am)' for aggregation or 'let(mtcars, hp_wt = hp/wt, hp_wt_mpg = hp_wt/mpg)' for modification. Use 'take_if/let_if' for conditional aggregation/modification. Additionally there are some conveniences such as automatic 'data.frame' conversion to 'data.table'.