On Tue, Mar 19, 2013 at 4:33 AM, Nicole Ford <nicole.f...@me.com> wrote: > > Hello, all. > > The following is for my own research. > > I have attached the relevant data in pdf from Transparency International. I > am only interested in the "CPI 2010 scores" column. > > I am interested in creating a variable for several of these countries. The > idea is, they will become a country level aggregate IV "corruption". I am > running models on about 10 countries, individually. The DV will be > essentially "democracy" with some other controls. > > I have the dv coded and need help with the IV. > > I am interested in how to create a new variable for CPI. This is new to me. > I have created some variables (some complex some not so complex) but usually > I do not need to create variables my own variables from scratch so I really > don't know how to do this. I looked online but have not been able to find > anything relevant. I am sure something is out there and I am missing it. > > CPI is ranked 1-10. 10= least amount of corruption, 1 being the most. It is > continuous. > > For example, Russia is ranked at 2.1; how would I create a variable for > Russia? Once I get one, I know I will get the others.
How is that 2.1 calculated? You might want the ?transform or ?within functions if it's easily expressed as a function of other variables in your data frame. MW > > Any direction would be very helpful: a link, command, etc. > > Thanks in advance. > > > ~Nicole Ford > Ph.D. student > Graduate Assistant/ Instructor > University of South Florida > Government and International Affairs > office: SOC 012M > > > > > ______________________________________________ > R-help@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. ______________________________________________ R-help@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.
