HI, I have a historical dataset which tells who bought our products. This dataset contains ID, Age, Gender and Salary. I have another set of data which contains the four fields above. How should I use R to calculate the probability of purchase of each customer in the second dataset or whether they would buy our products (T/F)? Should I use glm function? If yes, how should I approach this? Thanks.
Regards, Winson Lui Business Analyst M: +44 (0) 79 1714 6247 E: winson....@bwinparty.com<mailto:winson....@bwinparty.com> [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
