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.lui at bwinparty.com<mailto:winson.lui at bwinparty.com>
Predictive analysis based on past data
3 messages · Winson Lui, Vikash Kumar, Bert Gunter
Collaborative filtering will be helpful. Regards, Vikash On Wed, Dec 28, 2016 at 3:53 PM, Winson Lui <Winson.Lui at bwinparty.com> wrote:
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.lui at bwinparty.com<mailto:winson.lui at bwinparty.com>
[[alternative HTML version deleted]]
______________________________________________ R-help at 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.
This list is about R programming, not statistical methodology, although there is sometimes an overlap. You should do better posting to a statistics list like stats.stackexchange.com for queries about statistics. Although it looks like you may need to do some studying in a basic regression methods text or online tutorial. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Dec 28, 2016 at 2:23 AM, Winson Lui <Winson.Lui at bwinparty.com> wrote:
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.lui at bwinparty.com<mailto:winson.lui at bwinparty.com>
[[alternative HTML version deleted]]
______________________________________________ R-help at 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.