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Advanced and Fast Data Transformation

A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, flexible and parsimonious to code with, class-agnostic and programmer friendly. It is well integrated with base R, 'dplyr' / (grouped) 'tibble', 'data.table' and 'plm' (panel-series and data frames), and non- destructively handles other matrix or data frame based classes (such as 'ts', 'xts' / 'zoo', 'timeSeries', 'tsibble', 'sf' data frames etc.) --- 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 and data object conversions. (2) Advanced aggregation: Fast and easy multi-data-type, multi-function, weighted, parallelized and fully customized data aggregation. (3) Advanced transformations: Fast row / column arithmetic, (grouped) replacing and sweeping out of statistics, (grouped, weighted) scaling / standardizing, between (averaging) and (quasi-)within (centering / demeaning) transformations, higher-dimensional centering (i.e. multiple fixed effects transformations), linear prediction / partialling-out, linear model fitting and testing. (4) Advanced time-computations: Fast (sequences of) lags / leads, and (lagged / leaded, iterated, quasi-, log-) differences and (compounded) growth rates on (unordered, irregular) time series and panel data. Multivariate auto-, partial- and cross-correlation functions for panel data. Panel data to (ts-)array conversions. (5) List processing: (Recursive) list search / identification, splitting, extraction / subsetting, data-apply, and generalized recursive row-binding / unlisting in 2D. (6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed) summary statistics for complex multilevel / panel data.

Functions (67)

Split-Apply-Combine Computing

GGDC10S

Groningen Growth and Development Centre 10-Sector Database

GRP

Fast Grouping / collapse Grouping Objects

TRA

Transform Data by (Grouped) Replacing or Sweeping out Statistics

arithmetic

Fast Row/Column Arithmetic for Matrix-Like Objects

collap

Advanced Data Aggregation

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Depreciated collapse Functions

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Advanced and Fast Data Transformation

colorder

Fast Reordering of Data Frame Columns

dapply

Data Apply

data-transformations

Data Transformations

descr

Detailed Statistical Description of Data Frame

extract_list

Find and Extract / Subset List Elements

fFtest

Fast (Weighted) F-test for Linear Models (with Factors)

fHDbetween_fHDwithin

Higher-Dimensional Centering and Linear Prediction

fNdistinct

Fast (Grouped) Distinct Value Count for Matrix-Like Objects

fNobs

Fast (Grouped) Observation Count for Matrix-Like Objects

fast-data-manipulation

Fast Data Manipulation

fast-grouping

Fast Grouping and Ordering

fast-statistical-functions

Fast (Grouped, Weighted) Statistical Functions for Matrix-Like Objects

fbetween_fwithin

Fast Between (Averaging) and (Quasi-)Within (Centering) Transformations

fdiff

Fast (Quasi-, Log-) Differences for Time Series and Panel Data

fdroplevels

Fast Removal of Unused Factor Levels

ffirst_flast

Fast (Grouped) First and Last Value for Matrix-Like Objects

fgrowth

Fast Growth Rates for Time Series and Panel Data

flag

Fast Lags and Leads for Time Series and Panel Data

flm

Fast (Weighted) Linear Model Fitting

fmean

Fast (Grouped, Weighted) Mean for Matrix-Like Objects

fmedian

Fast (Grouped, Weighted) Median Value for Matrix-Like Objects

fmin_fmax

Fast (Grouped) Maxima and Minima for Matrix-Like Objects

fmode

Fast (Grouped, Weighted) Statistical Mode for Matrix-Like Objects

fnth

Fast (Grouped, Weighted) N'th Element/Quantile for Matrix-Like Objects

fprod

Fast (Grouped, Weighted) Product for Matrix-Like Objects

frename

Fast Renaming Objects

fscale

Fast (Grouped, Weighted) Scaling and Centering of Matrix-like Objects

fsubset

Fast Subsetting Matrix-Like Objects

fsum

Fast (Grouped, Weighted) Sum for Matrix-Like Objects

fsummarise

Fast Summarise

ftransform

Fast Transform and Compute Columns on a Data Frame

funique

Fast Unique Elements / Rows

fvar_fsd

Fast (Grouped, Weighted) Variance and Standard Deviation for Matrix-Like Objects

groupid

Generate Run-Length Type Group-Id

is.unlistable

Unlistable Lists

ldepth

Determine the Depth / Level of Nesting of a List

list-processing

List Processing

psacf

Auto- and Cross- Covariance and Correlation Function Estimation for Panel Series

psmat

Matrix / Array from Panel Series

pwcor_pwcov_pwNobs

(Pairwise, Weighted) Correlations, Covariances and Observation Counts

Fast Factor Generation, Interactions and Vector Grouping

qsu

Fast (Grouped, Weighted) Summary Statistics for Cross-Sectional and Panel Data

quick-conversion

Quick Data Conversion

radixorder

Fast Radix-Based Ordering

rapply2d

Recursively Apply a Function to a List of Data Objects

recode-replace

Recode and Replace Values in Matrix-Like Objects

roworder

Fast Reordering of Data Frame Rows

rsplit

Recursive Splitting

select_replace_vars

Fast Select, Replace or Add Data Frame Columns

seqid

Generate Group-Id from Integer Sequences

small-helper

Small (Helper) Functions

summary-statistics

Summary Statistics

t_list

Efficient List Transpose

time-series-panel-series

Time Series and Panel Series

unlist2d

Recursive Row-Binding / Unlisting in 2D - to Data Frame

varying

Fast Check of Variation in Data

wlddev

World Development Dataset

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Advanced and Fast Data Transformation

v1.5.3

GPL (>= 2) | file LICENSE

Authors

Sebastian Krantz [aut, cre], Matt Dowle [ctb], Arun Srinivasan [ctb], Laurent Berge [ctb], Dirk Eddelbuettel [ctb], Josh Pasek [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [cph]

Initial release

2021-03-05

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Functions (67)

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