For the introduction to R I strongly suggest you look at the materials published by software-carpentry www.software-carpentry.org. The lessons are all open-source, hosted on github and are under active development.
On Tue, 2015-02-03 at 12:08 +0100, Michael Haenlein wrote: > Dear all, > > I am Professor at a business school and I would like to develop a course > about quantitative research using R. > > My current plan is that the course should cover (a) an introduction > (assuming that students have never used R before), (b) basic econometric > analysis (e.g., regression, logit) as well as (c) structural equation > modelling. > > Are there any textbooks and teaching materials (e.g., PowerPoint slides) > that one of you could recommend for me to have a look at? > > Thanks, > > Michael > > Michael Haenlein > Professor of Marketing > ESCP Europe > > [[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. ______________________________________________ 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.
