Choose your native/programming language of ImproveStats routines
Alysson Jalles da Silva¹
1- Founder and Consulter
Gustavo Hugo F. Oliveira
Associated and Consulter
About ImproveStats Project:
ImproveStats: A set of routines for experimental statistics and genetic designs.
The ImproveStats project was created in January 2015 by Alysson Jalles aiming to create routines applied to experimental statistics and plant/animal breeding in software involving programming language. A priori the SAS software (ImproveSAS) was used to create the routines, however, the secondary aim of the project is to expand ImproveStats routines for other modern programming languages oriented to statistics, e.g (R (ImproveR), Python (ImprovePython), etc.) and put the routines in the largest public site of routines in the world http://improvestats.github.io/.
Over time biometric models applied to phenotypic data and genomic molecular evolve, so it is important to the researcher/breeder having updated tools to facilitate statistical analysis.
The interesting thing about a programming language is that in this case is possible to manage a large volume of data.
The second benefit of using a programming language to do statistical analysis, is that we have more control over each step performed with the experimental data.
The third benefit using programming language is to implement updated biometric models published in high-impact articles or even create new models applied to data.
The fourth benefit is that you learn a lot of statistics!.
Extras/Pictures from ImproveStats training
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