Acceso usuarios
Kristoffer Bjärkefur, Benjamin Daniels, Luis Eduardo San Martín, Ankriti Singh
Writing Stata code that produces the same results on another user’s machine is an essential component of modern reproducible data analysis workflows. However, a number of reasons may make it difficult to do so without detailed knowledge of the recipient’s environment. For example, differences between installation of (third-party) community-contributed files may cause failures. Furthermore, even when the environment is not an issue, users may make errors regarding random-number generation in the Stata code. These issues can be very challenging to detect from the code output alone. The repkit package provides new tools to automate: the location of root file paths; the configuration of community-contributed command installations; “linting” of the Stata code for readability; and the precise detection of code issues affecting reproducibility.
