I am new to this field and I am currently studying the most basic problem of statistics, I think. I have an indicator that is 0 or 1 and many categorical and continuous variables. I have to create a predictive model for the indicator. Could anyone provide me a direction in terms of packages that already tackled this kind of problem. Thanks, Marco
Hints for the best package
3 messages · R. Michael Weylandt, Marco
It sounds like you want multiple logistic regression: I think most people find the mlogit package quite helpful there. See also: http://www.ats.ucla.edu/stat/r/dae/mlogit.htm Michael
On Sun, Jul 29, 2012 at 9:02 AM, MP <ny2292000 at yahoo.com> wrote:
I am new to this field and I am currently studying the most basic problem of statistics, I think. I have an indicator that is 0 or 1 and many categorical and continuous variables. I have to create a predictive model for the indicator. Could anyone provide me a direction in terms of packages that already tackled this kind of problem. Thanks, Marco
______________________________________________ R-help at r-project.org mailing list 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.
Thanks a million, Michael. I really appreciated it. Marco -----Original Message----- From: R. Michael Weylandt [mailto:michael.weylandt at gmail.com] Sent: Sunday, July 29, 2012 5:03 PM To: MP Cc: r-help at r-project.org Subject: Re: [R] Hints for the best package It sounds like you want multiple logistic regression: I think most people find the mlogit package quite helpful there. See also: http://www.ats.ucla.edu/stat/r/dae/mlogit.htm Michael
On Sun, Jul 29, 2012 at 9:02 AM, MP <ny2292000 at yahoo.com> wrote:
I am new to this field and I am currently studying the most basic problem of statistics, I think. I have an indicator that is 0 or 1 and many categorical and continuous variables. I have to create a predictive model for the indicator. Could anyone provide me a direction in terms of packages that already tackled this kind of problem. Thanks, Marco
______________________________________________ R-help at r-project.org mailing list 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.