fNobs

fNobs.default

fNobs.matrix

fNobs.data.frame

fNobs.grouped_df

fNdistinct

fNdistinct.default

fNdistinct.matrix

fNdistinct.data.frame

fNdistinct.grouped_df

pwNobs

fHDwithin

fHDwithin.default

fHDwithin.matrix

fHDwithin.data.frame

fHDwithin.pseries

fHDwithin.pdata.frame

fHDwithin.grouped_df

fHDbetween

fHDbetween.default

fHDbetween.matrix

fHDbetween.data.frame

fHDbetween.pseries

fHDbetween.pdata.frame

fHDbetween.grouped_df

as.factor_GRP

as.factor_qG

is.GRP

is.qG

is.unlistable

is.categorical

is.Date

as.character_factor

as.numeric_factor

Date_vars

Date_vars&lt;-

<p>These functions were renamed moving from collapse 1.5.3 to 1.6.0 to make the namespace more consistent. They will stick around for a while, and be depreciated in 2022.</p>

Renamed Functions

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', 'plm' (panel-series and data frames), 'sf' data frames, and
non-destructively handles other matrix or data frame based classes (such as
'ts', 'xts' / 'zoo', 'timeSeries', 'tsibble', 'tibbletime' 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, (compounded)
growth rates, and cumulative sums 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.

Sebastian Krantz

collapse

Advanced and Fast Data Transformation

Matt Dowle

Arun Srinivasan

Laurent Berge

Dirk Eddelbuettel

Josh Pasek

Kevin Tappe

R Core Team and contributors worldwide 

Martyn Plummer

1999-2016 The R Core Team 

Renamed Functions function

<pre>
fNobs -&gt; fnobs
fNdistinct -&gt; fndistinct
pwNobs -&gt; pwnobs
fHDwithin -&gt; fhdwithin
fHDbetween -&gt; fhdbetween
as.factor_GRP -&gt; as_factor_GRP
as.factor_qG -&gt; as_factor_qG
is.GRP -&gt; is_GRP
is.qG -&gt; is_qG
is.unlistable -&gt; is_unlistable
is.categorical -&gt; is_categorical
is.Date -&gt; is_date
as.numeric_factor -&gt; as_numeric_factor
as.character_factor -&gt; as_character_factor
Date_vars -&gt; date_vars
`Date_vars&lt;-` -&gt; `date_vars&lt;-`
</pre>

Renaming

Renamed Functions — Renamed Functions

Renamed Functions: Renamed Functions

Description

Arguments

Renaming