Dear R users, I have a database called Base.csv (attached to this email) which contains 13 columns and 8257 rows and whose the first 8 columns are dummy variables which take 1 or 0. The problem is when I wrote the following instructions to do a logistic regression , R runs for hours and hours without giving an output:
Base=read.csv("C:\\Users\\HP\\Desktop\\New\\Base.csv",header=FALSE,sep=";") fit_1=glm(Base[,2]~Base[,1]+Base[,10]+Base[,11]+Base[,12]+Base[,13],family=binomial(link="logit")) Apparently, there is not enough memory to have the requested output. Is there any other function for logistic regression that handle large data and return output in reasonable time. Many thanks Kind regards George ______________________________________________ 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.