# New book: “Modeling Psychophysical Data in R”

**dahtah » 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.

Ken Knoblauch wrote to inform me that Springer has just released a book he coauthored with Larry Maloney on statistical methods in psychophysics. The book is called “Modeling Psychophysical Data in R” and covers both classical psychophysical analyses (Signal Detection Theory) and more recent methods (e.g. Mixed Models). Ken was one of the first in the field to see the connection between psychophysical theory and Generalised Linear Models, which is a pretty big deal IMHO.

I had an early look at some of the book’s chapters and as far as I remember they were clearly written and had lots of fully worked-out R examples. I’ll write more when I’ve had a chance to look at the finished product, but I’m sure the book will be useful to people who do work in vision, audition, etc. and wish to expand their data analysis toolkit.

Link to the book’s webpage at Springer.

Disclaimer: I know both Ken and Larry quite well, they’re likely to review my work/grant applications in the future, etc.

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

**dahtah » 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.