R packages

December 12, 2016
By

(This article was first published on Easy Guides, and kindly contributed to R-bloggers)

In this section, you’ll find R packages developed by STHDA for easy data analyses.

factoextra

factoextra let you extract and create ggplot2-based elegant visualizations of multivariate data analyse results, including PCA, CA, MCA, MFA, HMFA and clustering methods.

Overview >>
factoextra Site Link >>

survminer

survminer provides functions for facilitating survival analysis and visualization.

Overview >>
survminer Site Link >>

Releases: v0.2.4 |

ggpubr

The default plots generated by ggplot2 requires some formatting before we can send them for publication. To customize a ggplot, the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. ggpubr provides some easy-to-use functions for creating and customizing ‘ggplot2’- based publication ready plots.

Overview >>
ggpubr Site Link >>

Infos

This analysis has been performed using R software (ver. 3.3.2)


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

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



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)