[R] Seeking pointers to various regression techniques with R?

[Andrew Miles]

The R book by Michael Crawley has some discussion the type of R syntax you are looking for in the chapter on statistical modeling.  As for the formulae you gave...

lm(y ~ x*w - 1)  fits an interaction between x and w without an intercept, along with the main effects for x and w
lm(y ~ x:w - 1)  fits just the interaction between x and w without an intercept, and without the main effects for x and w
lm(y ~ x/w - 1)  I believe this fits the nested factor w inside of x

Andrew Miles


On Jun 5, 2012, at 4:58 PM, Michael wrote:

> I read your website but still don't know the difference between the three
> formulas...
> 
> Thank you!
> 
> On Mon, Jun 4, 2012 at 11:14 PM, Joshua Wiley <jwiley.psych at gmail.com>wrote:
> 
>> Hi Michael,
>> 
>> This is far from exhaustive (I wrote it as an introduction some years
>> ago) but you may find it useful to start:
>> https://joshuawiley.com/R/formulae_in_R.aspx
>> 
>> Cheers,
>> 
>> Josh
>> 
>> On Mon, Jun 4, 2012 at 9:06 PM, Michael <comtech.usa at gmail.com> wrote:
>>> Hi all,
>>> 
>>> Could you please point me to good materials on various
>>> tricks/intuitions/techniques of regression, and hopefully in R?
>>> 
>>> For example, what does lm(y~ x * w - 1) mean vs. lm(y ~ x/w -1 ) vs. lm
>> (y
>>> ~ x:w-1), etc...
>>> 
>>> I just found that even simple linear regression is not that simple and
>>> there are a lot of tricks/techniques in using them...
>>> 
>>> Hopefully I can find good materials on these!
>>> 
>>> Thank you!
>>> 
>>>       [[alternative HTML version deleted]]
>>> 
>>> ______________________________________________
>>> 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<http://www.r-project.org/posting-guide.html>
>>> and provide commented, minimal, self-contained, reproducible code.
>> 
>> 
>> 
>> --
>> Joshua Wiley
>> Ph.D. Student, Health Psychology
>> Programmer Analyst II, Statistical Consulting Group
>> University of California, Los Angeles
>> https://joshuawiley.com/
>> 
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> 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.