Matrix Operations

June 8, 2013
By

[This article was first published on Analysis with 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.

Matrix manipulation in R are very useful in Linear Algebra. Below are lists of common yet important functions in dealing operations with matrices:

  • Transpose – t
  • Multiplication – %*%
  • Determinant – det
  • Inverse – solve, or ginv of MASS library
  • Eigenvalues and Eigenvectors – eigen

Consider these matrices, $\left[\begin{array}{ccc}3&4&5\\2&1&3\\6&5&4\end{array}\right]$ and  $\left[\begin{array}{ccc}6&7&5\\4&5&8\\7&6&6\end{array}\right]$. In R, these would be,

Transposing these, simply use t

Now multiplying these two matrices, that would be

For the determinant, we have

Taking the inverse of matrix1 is achieved by solve or ginv R functions. Note that ginv is in MASS package,

And finally, for eigenvalues and eigenvectors simply use eigen

The output above returns the $values, which is the eigenvalues, and $vectors, the eigenvectors.

More about matrix here.

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



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

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)