# The statistics software signal

**Statistical Modeling, Causal Inference, and Social Science » R**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Tyler Cowen links to a post by Sean Taylor, who writes the following about users of R:

You are willing to invest in learning something difficult. You do not care about aesthetics, only availability of packages and getting results quickly.

To me, R is easy and Sas is difficult. I once worked with some students who were running Sas and the output was unreadable! Pages and pages of numbers that made no sense. When it comes to ease or difficulty of use, I think it depends on what you’re used to! And I really don’t understand the bit about aesthetics. What about this? One reason I use R is to make pretty graphs. That said, if I’d never learned R, I’d just be making pretty graphs in Fortran or whatever. My guess is, the way I program, R is actually hindering rather than helping my ability to make attractive graphs. Half the time I’m scrambling around, writing custom code to get around R’s defaults.

The post The statistics software signal appeared first on Statistical Modeling, Causal Inference, and Social Science.

**leave a comment**for the author, please follow the link and comment on their blog:

**Statistical Modeling, Causal Inference, and Social Science » R**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.