Hi Petr,

It's not an equation. It's my mistake; the * are meant to be field
separators for the example data. I should have just use blank spaces as
follows:

users   Group1   Group2   Group3
u1        10           5            N/A
u2         6          N/A          4
u3         5           2            3


Regards
Gawesh

On Mon, Oct 10, 2011 at 9:32 AM, Petr PIKAL <petr.pikal@precheza.cz> wrote:

> Hi
>
> I do not understand much about your equations. I think you shall look to
> Practical Regression and Anova Using R from J.Faraway.
>
> Having data frame DF with columns - users, groups, results you could do
>
> fit <- lm(results~groups, data = DF)
>
> Regards
> Petr
>
>
>
>
> >
> > Hi,
> >
> > I'm a newbie to R. My knowledge of statistics is mostly self-taught. My
> > problem is how to measure the effect of users in groups. I can calculate
> a
> > particular attribute for a user in a group. But my hypothesis is that
> the
> > user's attribute is not independent of each other and that the user's
> > attribute depends on the group ie that user's behaviour change based on
> the
> > group.
> >
> > Let me give an example:
> >
> > users*Group 1*Group 2*Group 3
> > u1*10*5*n/a
> > u2*6*n/a*4
> > u3*5*2*3
> >
> > For example, I want to be able to prove that u1 behaviour is different
> in
> > group 1 than other groups and the particular thing about Group 1 is that
> > users in Group 1 tend to have a higher value of the attribute under
> > measurement.
> >
> >
> > Hence, can use R to test my hypothesis. I'm willing to learn; so if this
> is
> > very simple, just point me in the direction of any online resources
> about
> > it. At the moment, I don't even how to define these class of problems?
> That
> > will be a start.
> >
> > Regards
> > Gawesh
> >
> >    [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > 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.
>
>

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