rapply2d

<code>rapply2d</code> is a recursive version of <code>lapply</code> with three differences to <code><a href="/link/rapply?package=collapse&version=2.0.2" data-mini-rdoc="collapse::rapply">rapply</a></code>:
<ol>
<li>data frames (or other list-based objects specified in <code>classes</code>) are considered as atomic, not as (sub-)lists</li>
<li><code>FUN</code> is applied to all 'atomic' objects in the nested list</li>
<li>the result is not simplified / unlisted.</li>
</ol>

manip

list

A C/C++ based package for advanced data transformation and
statistical computing in R that is extremely fast, class-agnostic, robust and
programmer friendly. Core functionality includes a rich set of S3 generic grouped
and weighted statistical functions for vectors, matrices and data frames, which
provide efficient low-level vectorizations, OpenMP multithreading, and skip missing
values by default. These are integrated with fast grouping and ordering algorithms
(also callable from C), and efficient data manipulation functions. The package also
provides a flexible and rigorous approach to time series and panel data in R.
It further includes fast functions for common statistical procedures, detailed
(grouped, weighted) summary statistics, powerful tools to work with nested data,
fast data object conversions, functions for memory efficient R programming, and
helpers to effectively deal with variable labels, attributes, and missing data.
It is well integrated with base R classes, 'dplyr'/'tibble', 'data.table', 'sf',
'plm' (panel-series and data frames), and 'xts'/'zoo'.

Sebastian Krantz

collapse

Advanced and Fast Data Transformation

Matt Dowle

Arun Srinivasan

Morgan Jacob

Dirk Eddelbuettel

Laurent Berge

Kevin Tappe

R Core Team and contributors worldwide 

Martyn Plummer

1999-2016 The R Core Team 

rapply2d function

<dl> <dt>l</dt>
<dd>a list.</dd> <dt>FUN</dt>
<dd>a function that can be applied to all 'atomic' elements in l.</dd> <dt>...</dt>
<dd>additional elements passed to FUN.</dd> <dt>classes</dt>
<dd>character. Classes of list-based objects inside <code>l</code> that should be considered as atomic.</dd></dl>

Arguments

<code>rapply2d</code> is a recursive version of <code>lapply</code> with three differences to <code><a href='https://rdrr.io/r/base/rapply.html'>rapply</a></code>:
<ol>
<li>data frames (or other list-based objects specified in <code>classes</code>) are considered as atomic, not as (sub-)lists</li>
<li><code>FUN</code> is applied to all 'atomic' objects in the nested list</li>
<li>the result is not simplified / unlisted.</li>
</ol>

Recursively Apply a Function to a List of Data Objects — rapply2d

<dl>

 <dt>l</dt>
<dd>a list.</dd>

 <dt>FUN</dt>
<dd>a function that can be applied to all 'atomic' elements in l.</dd>

 <dt>...</dt>
<dd>additional elements passed to FUN.</dd>

 <dt>classes</dt>
<dd>character. Classes of list-based objects inside <code>l</code> that should be considered as atomic.</dd>

</dl>

Last chance! 50% off unlimited learning

rapply2d: Recursively Apply a Function to a List of Data Objects

Description

Usage

Value

Arguments

See Also

Examples