catchError

Allows an expression to be wrapped in <code><a href="/link/try()?package=mcprogress&version=0.1.1" data-mini-rdoc="mcprogress::try()">try()</a></code> to catch error messages. Any
error messages are printed to the console using <code>mcstop()</code>.

Tools for monitoring progress during parallel processing. Lightweight package which acts as a wrapper around mclapply() and adds a progress bar to it in 'RStudio' or 'Linux' environments. Simply replace your original call to mclapply() with pmclapply(). A progress bar can also be displayed during parallelisation via the 'foreach' package. Also included are functions to safely print messages (including error messages) from within parallelised code, which can be useful for debugging parallelised R code.

Myles Lewis

mcprogress

Progress Bars and Messages for Parallel Processes

catchError function

<dl><dt>expr</dt>
<dd>An expression to be wrapped in <code><a href="/link/try()?package=mcprogress&version=0.1.1" data-mini-rdoc="mcprogress::try()">try()</a></code> to allow execution and
catch error messages.</dd>
<dt>...</dt>
<dd>Optional objects to be tracked if you want to know state of
objects at the point error messages are generated.</dd></dl>

Arguments

Allows an expression to be wrapped in <code><a href='https://rdrr.io/r/base/try.html'>try()</a></code> to catch error messages. Any
error messages are printed to the console using <code>mcstop()</code>.

Catch error messages during parallel processing — catchError

<dl>

<dt>expr</dt>
<dd>An expression to be wrapped in <code><a href='https://rdrr.io/r/base/try.html'>try()</a></code> to allow execution and
catch error messages.</dd>


<dt>...</dt>
<dd>Optional objects to be tracked if you want to know state of
objects at the point error messages are generated.</dd>

</dl>

catchError: Catch error messages during parallel processing

Description

Usage

Value

Arguments

See Also