Advanced and Fast Data Transformation
Description
A C/C++ based package for advanced data transformation and
statistical computing in R that is extremely fast, class-agnostic,
and programmer friendly through a flexible and parsimonious syntax.
It is well integrated with base R, 'dplyr' / (grouped) 'tibble',
'data.table', 'sf', 'plm' (panel-series and data frames), and
non-destructively handles other matrix or data frame based classes (like
'ts', 'xts' / 'zoo', 'tsibble', ...)
--- Key Features: ---
(1) Advanced statistical programming: A full set of fast statistical functions
supporting grouped and weighted computations on vectors, matrices and
data frames. Fast and programmable grouping, ordering, unique values/rows,
factor generation and interactions. Fast and flexible functions for data
manipulation, data object conversions, and memory efficient R programming.
(2) Advanced aggregation: Fast and easy multi-data-type, multi-function, weighted
and parallelized data aggregation.
(3) Advanced transformations: Fast row/column arithmetic, (grouped) replacing
and sweeping out of statistics (by reference), (grouped, weighted) scaling/standardizing,
(higher-dimensional) between (averaging) and (quasi-)within (demeaning) transformations,
linear prediction, model fitting and testing exclusion restrictions.
(4) Advanced time-computations: Fast and flexible indexed time series and panel data classes.
Fast (sequences of) lags/leads, and (lagged/leaded, iterated, quasi-, log-)
differences and (compounded) growth rates on (irregular) time series and panels.
Multivariate auto-, partial- and cross-correlation functions for panel data.
Panel data to (ts-)array conversions.
(5) List processing: Recursive list search, splitting,
extraction/subsetting, apply, and generalized row-binding / unlisting to data frame.
(6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed)
summary statistics and descriptive tools.
