Everyone has their own utility
function.  Mine is if the boredom
of waiting for the pure R function
to finish is going to out-weight the
boredom of writing the C code.

Another issue is that adding C code
increases the hassle of users who might
want the code to run on different
architectures.

On 17/01/2011 17:13, Patrick Leyshock wrote:
A question, please about development of R packages:

Are there any guidelines or best practices for deciding when and why to
implement an operation in R, vs. implementing it in C?  The "Writing R
Extensions" recommends "working in interpreted R code . . . this is normally
the best option."  But we do write C-functions and access them in R - the
question is, when/why is this justified, and when/why is it NOT justified?

While I have identified helpful documents on R coding standards, I have not
seen notes/discussions on when/why to implement in R, vs. when to implement
in C.

Thanks, Patrick

On Sun, Jan 16, 2011 at 3:00 AM,<r-devel-requ...@r-project.org>  wrote:

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Today's Topics:

   1. RPostgreSQL 0.1.7 for Windows 64 causes R.2.12.1 Win64 crash
      (Xiaobo Gu)


----------------------------------------------------------------------

Message: 1
Date: Sat, 15 Jan 2011 10:34:55 +0800
From: Xiaobo Gu<guxiaobo1...@gmail.com>
To: r-devel@r-project.org
Subject: [Rd] RPostgreSQL 0.1.7 for Windows 64 causes R.2.12.1 Win64
        crash
Message-ID:
        <aanlktinvoub-z_le1gvpyswnqtsw1p6mzzlzsztoi...@mail.gmail.com>
Content-Type: text/plain; charset=ISO-8859-1

Hi,
I build the binary package file of RPostgreSQL 0.1.7 for Windows 2003
Server R2 64 bit SP2, the software environments are as following:
         R 2.12.1 for Win64
         RTools212 for Win64
         DBI 0.2.5
         RPostgreSQL 0.1.7
         Postgresql related binaries shipped with
postgresql-9.0.2-1-windows_x64.exe from EnterpriseDB

The package can be loaded, and driver can be created, but the
dbConnect function causes the whole RGui crashes,

driver<- dbDriver("PostgreSQL")
con<- dbConnect(driver, dbname="demo", host="192.168.8.1",
user="postgres", password="postgres", port=5432)



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twitter: @portfolioprobe
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(home of 'Some hints for the R beginner'
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