Code Development The client's requirement consisted in the development of a R code that would allow the application of the Phillip - Perron unit root test to a time series with structural change on an unknown date. The program allows to verify the existence of unit root for cases in which the trend function has (i) intercept and linear trend, (ii) only intercept or (ii) neither intercept nor trend

1 ) The client requested: i. An initial basic statistical analysis ii.- Determine the incidence of some diseases with respect to others. 2) I suggested the application of association rules because this technique could help us to determine to what extent the presence of disease j derives in the presence of disease i. We used the software R (Attachment part of the code) 3) Among the main findings we can mention the strong association between diabetes and atrial fibrillation, hyperlipidemia, and ischemic; where diabetes always acted as an antecedent disease.