Re: [Rd] [EXTERNAL] Re: NOTE: multiple local function definitions for ?fun? with different formal arguments

Because functions get called and therefore, the calling sequence matters. It’s just protecting you from yourself, but as someone pointed out, there’s a way to silence such notes. G From: Hervé Pagès Sent: Tuesday, February 6, 2024 2:40 PM To: Izmirlian, Grant (NIH/NCI) [E] ; Duncan Murdoch

Re: [Rd] [EXTERNAL] Re: NOTE: multiple local function definitions for ?fun? with different formal arguments

The note refers to the fact that the function named ‘fun’ appears to be defined in two different ways. From: Hervé Pagès Sent: Tuesday, February 6, 2024 2:17 PM To: Duncan Murdoch ; Izmirlian, Grant (NIH/NCI) [E] ; r-devel@r-project.org Subject: [EXTERNAL] Re: [Rd] NOTE: multiple local

[Rd] NOTE: multiple local function definitions for ?fun? with different formal arguments

024, 10:44 AM To: "Izmirlian, Grant (NIH/NCI) [E]" Subject: Fwd: [EXTERNAL] R-devel Digest, Vol 252, Issue 2 Hi, I just ran into this 'R CMD check' NOTE for the first time: * checking R code for possible problems ... NOTE toto: multiple local function definitions for �fun� with diffe

[Rd] xxx not available for .C in package yyy

Hi R package developers. This is literally the strangest thing I've ever seen. Latest (as of a month ago) R under cygwin64. I'm teaching an intern package building and using the .C interface. The package compiles, but when it gets to "setting up lazy load" or some such it throws the error

[Rd] can someone help me understand LAM/MPI and Rmpi for use on a cluster

I'm fairly astute at C and R but new to parallelization. Would someone be willing to provide help in the form of a simple example that parallelizes an R function from the inside of a C routine? If so, write me back at [EMAIL PROTECTED] Thanks! __

[Rd] an Update on the Woods package--classification and constrained L1 regression for binary response

Hello R-devel: This is an update on my R package, woods that does bagged classification trees using data structures in C. Most of the comments of my earlier post still apply, with some additions (noted *) (i) fits a single classification tree to dataset (R function CT) (ii) basic

[Rd] segfault following a detach

Jim: This reminds me of problems I've had before, but usually they occur when I quit R i.e. q(), because when testing and developing I can't remember actually detaching a package. I can however think of countless times I get a segmentation fault upon quiting R. Usually this boils down to a

Re: [Rd] Classification Trees and basic Random Forest pkg using tree structures in C

Hello Hin-Tak: Thanks for your interest. This is just a short not to tell you and others that the URL idea is a good one. This will take a few days at our organization. When its available I will post again to this thread. In the meantime, I will will send copies directly to those interested. So