This tutorial provides the basics of R (R Core Team, 2020) for beginners. Our detailed instruction starts from the foundations including the installation of R and RStudio, the structure of R screen, and loading the data. We introduce basic functions for data exploration and data visualization. We also illustrate how to perform statistical analyses such as correlation analysis, multiple linear regression, t-test, and one-way analysis of variance (ANOVA) with easy and intuitive explanations. The most notable feature is some tips provided in the last section. Based on our ample experience in statistical consultation for methodologists and statisticians who use R, we selected the best advice that will make you smart R users.

{"references": ["R Core Team. (2020). R: A Language and Environment for Statistical Computing, Vienna, Austria. https://www.R-project.org/.", "Van de Schoot, R., Van der Velden, F., Boom, J., & Brugman, D. (2010). Can at-risk young adolescents be popular and anti-social? Sociometric status groups, anti-social behaviour, gender and ethnic background. Journal of adolescence, 33(5), 583-592. https://doi.org/10.1016/j.adolescence.2009.12.004", "Van de Schoot, R. (2020). Popularity Dataset for Online Stats Training [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3962123", "Venables, W. N., Smith, D. M., & R Core Team. (2020). An introduction to R. https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf"]}

Since we continuously improve the tutorials, let us know via Github (https://github.com/Rensvandeschoot/Tutorials) if you discover mistakes, or if you have additional resources we can refer to.