 Hi, I'm Claudio Zondonella, from the University of Padua that will present the PRDA R-Package. While conducting a power analysis, there is often a narrow focus on the statistical significance overlooking other important aspects as estimates accuracy. To overcome these issues, Gellman and Carlin in 2014 proposed a design analysis to evaluate together with power other inferential risks as the type M error, that is the factor by which the magnitude on an effect might be overestimated, and type S error that is the probability of an estimate being in the wrong direction. We created the PRDA package to allow researchers to conduct a design analysis. The package can be downloaded from the github repository mas pastore slash prda, and allows researchers to conduct design analysis considering correlation or mean differences between two variables. In the package, there are two main functions, retrospective, that allows to conduct a retrospective design analysis where, given a plausible value of effect size and the study sample size, you can define the inferential risks. In the output, we've got a summary about the hypothesized effect, about the study characteristics, in particular with the test method, the study sample size, the alternative hypothesis, and the significant level. And then we've got the inferential risk. In this case, we can see we're not doing really well. We've got a really low level of power, and the type M error is really high. And we also have around 1% probability to get results in the opposite direction. The second function is perspective that allows us to conduct a prospective design analysis for a plausible value of effect size and a required level of power, we can compute the study sample size we need. In this case, for a correlation of point three, we need 84 participants to obtain a power of 80% that is associated with a really low type M error and approximately zero type S error. To know more about the package, you can see the supplemental material in the presentation folder. This is the github page for the menu. Thank you.