newbie
Useful, yes. Easy for someone unable to learn any code, probably not. However, if what you want to do can be done using the R-commmander (Rcmdr) package (a graphical user interface which does offer cluster analysis and anova, among other things, from a drop down menu), then you may not need to write any code. And Rcmdr will write the underlying code for you, so you can save it and reproduce your work the next day without pointing and clicking another 30 times. Still, even using Rcmdr, when I first started I had to do a lot of reading and searching to figure out seemingly simple tasks. It's worth the effort if you think you will continue to do statistical analysis in the future, and thus earn a return on you intitial efforts.
--- Jan-Paul Roodbol <janpaulr at yahoo.com> wrote:
Hi I'm currently doing research into Industry Groupings on Stock Exchanges. Is R useful (and easy to use for a non-programmer)? I have data of hundreds of shares, 5.5 years, monthly, for 60 variables. I want to investigate if the industry groupings are indeed homogeneous intra-groups, and heterogeneous between groups. I want to check this with some groupings before and after reallocation of individual shares or regrouping because of the International Classification Board industry grouping roll-out. I think I would compare means and SDs. Groupings are fairly small, most less than 10 shares in each group. I have just started thinking about all of this - hope it makes some sense at this stage? Is R the right tool for me? Thank you in advance jpr
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