(Thanks to report and patch by Jeroen Ooms in PR#18152.) ) no longer pass arguments for rect() (such as col and density) to axis(). ) no longer segfaults when dots is not a list and uses match.fun(F) as always documented reported by Andrew Simmons in PR#18164. R's native interface of Rf_error and Rf_warning has long been preferred. are deprecated and will be hidden in R 4.2.0.

The legacy S-compatibility macros PROBLEM, MESSAGE, ERROR, WARN, WARNING, RECOVER.

This allows more reliable debugging of crashes that involve the console.

If the R_NO_SEGV_HANDLER environment variable is non-empty, the signal handler for SEGV/ILL/BUS signals (which offers recovery user interface) is not set.

The undocumented limit of 4095 bytes on messages from the S-compatibility macros PROBLEM and MESSAGE is now documented and longer messages will be silently truncated rather than potentially causing segfaults.A couple more usages of log() (which should have been std::log()) with an int argument are reported on Solaris. The workaround in headers R.h and Rmath.h (using namespace std ) for the Oracle Developer Studio compiler is no longer needed now C++11 is required so has been removed.Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control. One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.

The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. ) and graphical techniques, and is highly extensible. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering. There are some important differences, but much code written for S runs unaltered under R. R can be considered as a different implementation of S. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R is a language and environment for statistical computing and graphics.

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