DATA-COPE seeks to provide information for research analysts accessing and using administrative data. A key aspect of this mission is resource sharing and curation of quality information that is recommended by our members.
Author: grant
Should your R code get compiled for speed gains?
Should your R code get compiled for speed gains?
This post says “yes”.
Conservative matching in R
This discussion demonstrates the surprise that partial matching in R provides. One option to avoid this, if you do not want it to occur, is either to not to use the $ operator or tell R both to warn when it does occur and then handle it as an error:
options(warnPartialMatchDollar=TRUE) options(warn=2) options(error=recover)
statebins for R
SDMX
1. What is SDMX?
SDMX stands for Statistical Data and Metadata Exchange-the electronic exchange of statistical information. Its goal is to explore e-standards that could allow us to gain efficiency and avoid duplication of effort in our own work and possibly in the work of others in the field of statistical information.
What the difference between .Golbalenv and package:base in R?
What the difference between .Golbalenv and package:base?
Put simply,
.GlobalEnv stores objects you create
package:base contains functions and objects provided by R itself
21 R navigation tools
Here via r-bloggers.
Nice overview worth a read.
A guide on setting up C/C++ development environment for Emacs
Shiny for R
A web application framework for R
Turn your analyses into interactive web applications
No HTML, CSS, or JavaScript knowledge required
— Via the homepage
Wait a bit until getting aggressive about error handling in R
You might want to handle all unexpected situations in your code doing something like options(error=recover) and options(warn=2) in your .Rprofile. That is a good thing.
Just be sure to do it after your system is initialized, because if you don’t then you are sure to kill your startup!