Recently, growing attention has been drawn to the large number of scientific findings that are not reproducible. One aspect of this worrisome state of affairs, which is not limited to the field of psychology, is non-reproducibility of statistical analyses and scientific computations. Given that raw data are available, the reproducibility of analyses should be considered a minimum standard for judging scientific claims (Peng, 2011). Two obvious reasons for non-reproducibility of analyses are incorrect and incomplete reporting of methods and statistics. A review of psychological journal articles found that 18% of the statistical results were reported incorrectly; these errors lead to incorrect inferences in 15% of surveyed articles (Bakker & Wicherts, 2011). Dynamic documents that merge reports and analysis scripts are an effective way to avoid erroneous statistical reporting (Gandrud, 2013). We introduce ‘papaja’, a package for the R Statistical Environment (R Core Team, 2014) that provides a framework to create dynamic documents that adhere to American Psychological Association (APA) guidelines (https://github.com/crsh/papaja). The papaja package is tailored to the needs of experimental psychologists: we supply convenience functions to report statistics in accordance with APA guidelines in a way that ensures reproducibility of analyses and facilitates future synthesis of results.