Functional Data

Breast Cancer Incidence Counts Modelling And Forecasting.
This article discusses the main topic of functional data analysis. It also highlights the usefulness of R- packages/ libraries in computing various tasks or commands. In analyzing the data we collected (Breast cancer incidences in males, females and both), we employed the method of simple linear regression to explain the relationship between the year and the number of incidences of each of the groups; females, males and both. This method allows for future forecasting of the incidence rates. We noticed that Breast cancer incidence rates were more in females than in males in every age group and in every single year. The article does not solve the problem of the causes of Breast Cancer and the necessary remedies.