Packages

swirl Interactive introduction to R so you can learn R, using R.
tidyverse Core package to load packages dedicated to working with tidy data frames.

Resources

R for Beginners to build a strong foundation
RStudio Cheat Sheets great visual maps for data analysis (highly recommend the dplyr, data import, and ggplot2 sheets!)
R style guide to make sure your code is beautiful because when your code is easy to read, your future self will thank you.
UNL Statistics Help Desk Statistical Cross-disciplinary Collaboration and Consulting Lab (SC3L)
CRAN task views Grouping notable packages in specific topics such as Phylogenetics, Time Series, Experimental Design, etc.
Happy Git and GitHub for the useR a long-form tutorial on working reproducibly in R and RStudio with Git and GitHub
Add P-values and Significance Levels to ggplots an article on creating publication ready plots using ggpubr
Create colorful graphs in R an article on creating colorful ggplots using RColorBrewer and plotly
Sampling, Data Management and Visualization UNL Course led by Dr. Drew Tyre

Twitter is a great resource for getting help in R. You can browse the #rstats hashtag to see what’s going on.

These accounts are great to follow to see what’s going on in R

@RLangTip tweets out useful tips and tricks to use R
@dataandme aka Mara Averick often tweets out links to useful tutorials in R
@juliasilge data scientist at StackOverflow
@_inundata aka Karthik Ram, a data scientist at the Berkeley Institute for Data Science
@JennyBryan currently works at RStudio and very concerned with usability
@hadleywickham creator of the tidyverse and cheif data scientist at RStudio

Upgrading R on Windows can sometimes be frustrating. The intstallr R package helps with this process.