[R] Odp: help with statistics in R - how to measure the effect of users in groups

[Petr PIKAL]

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]]
> 
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