Book Review: Mastering Scientific Computing with R

[This article was first published on Data Analysis and Visualization in 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.

PACKT marketing guys again contact me to review their new book Mastering Scientific Computing with R.  The book 432 pages (including covers) book is consist of 10 chapters which starts from basic R and ends with advanced data management. However, between the basic R and advanced data management chapters were topics on linear and non linear models, nonparametric techniques, linear and matrix algebra, principal component analysis, and structural equation modeling and confirmatory factor analysis

Aside from code samples (even for R beginners) which include additional comments, there is also an online tutorial on Structural Equation Modeling included in the book webpage which make the book content easier to learn.  In addition, the book also extends discussion beyond the methodological aspect of using R in scientific computing by providing technical and practical approach in some of the methodologies (e.g. “choosing the number of components to retain in Principal Component Analysis”, “Rasch analysis using linear algebra and a
paired comparisons matrix”, “Exploratory factor analysis and reflective
constructs”).

Highly recommended book!

To leave a comment for the author, please follow the link and comment on their blog: Data Analysis and Visualization in 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.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)