摘要：Analysis of variance (ANOVA) is a usual way for analysing exp.riments. However, dep.nding on the design and/or the analysis scheme, it can be a hard task. Exp.es, acronym for Exp.rimental Designs, is a p.ckage that intends to turn such task easier. Devoted to fixed models and balanced exp.riments (no missing data), Exp.es allows user to deal with additional treatments in a single run, several exp.riment designs and exhibits standard and easy-to-interp.et outp.ts. It was develop.d at the Exact Sciences Institute of the Federal University of Alfenas, Brazil. Stable versions of p.ckage Exp.es are available on CRAN (Comp.ehensive R Archive Network) since 2012. Based on users’ feedback, the p.ckage was used to illustrate graduation and p.st-graduation classes and to carry out data analysis, in Brazil and many other countries. p.ckage Exp.es differs from the other R tools in its easiness in use and cleanliness of outp.t.