[R] Help - linear regression

2008-01-22 Thread Thanjavur Bragadeesh

Hi,
 
I am trying a linear regression model where the dependent variable is the size 
of the heart corrected for the patient's height and weight. This is labelled as 
LAVI. The independent variables are race (european or non-eurpoean), age, sex 
(male or female) of the patient and whether they have diabetes and high blood 
pressure. sample size 2000 patients selected from a community.
 
when I model
model1<-lm(lavi~age+sex+race+diabetes+hypertension, data=tb1)
 and 
model2<-lm(lavi~age+sex+age*race+diabetes+hypertension, data=tb1)
 
in the first model race comes out as a significant predictor (p<0.005) where as 
in the second model race is not a significant predictor of lavi (p=.076)
 
in my dataset mean age is 55.2 years in the non-europeans and 56.7 years in the 
europeans (p <0.0001 by t.test). 
 
should I or should I not include the interaction (age*race) in the model. Is it 
an acceptable rule to put in interactions if there is a significant relation 
between the indepenedent variables in univariate analyses.
 
Many thanks
 
bragadeesh
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[R] help_R2.5 updating

2007-10-06 Thread Thanjavur Bragadeesh

Hi,
 
I run windows vista ultimate in my laptop and run R 2.5
 
I am trying to update the packages but it comes up with an error message
 
""Warning in install.packages(update[instlib == l, "Package"], l, contriburl = 
contriburl,  :  'lib' is not writable
Error in install.packages(update[instlib == l, "Package"], l, contriburl = 
contriburl,  : unable to install packages"
 
I am the adminsitrator on this computer and logged in as administrator.
 
can anyone advise. I treid to switch off most security - windows firewall is 
off and so is macfee.
 
 
many thanks for your advise
 
bragadeesh
 
 
 
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