MASS)
require(plyr)
require(lme4)
data <-
sim.lmer(n=1000,p=6,error=10,B0=38.93,varb0=30.92,B1=-2.31,varb1=0.56,cor=-0.7)
#data <-
sim.lmer(n=1000,p=10,error=5,B0=40,varb0=1050,B1=.2,varb1=.4,cor=.7)
d <- data$data
LMER.1 <- lmer(Score ~ Weeks + (1 + W
--
Thanks & Regards,
Kamal Kishore
Research Scholar
Department of Biostatistics
National Institute of Mental Health and Neuro Sciences (NIMHANS)
Banglore-560029
Mob-+91-9591349768
Email:kamalkishorest...@gmail.com
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SE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
--
Kishore Kumar. Nalluri
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__
R
inal
regression equation. After running the White's test, I got some new
standard errors - but from here I didn't understand how to plot the
residuals (or) how to correct the estimates?? Can some one direct me in
this regard..
Best,
Kishore/..
http://kaykayatisb.blogspot.com
Team,
I am trying to resolve the self-selection bias of a sample in an experiment
and would like to run the Heckman Correction Estimation using R. Can
someone help me with the R-Code... I tried searching for the discussion, but
not successful. Thanks in advance,
Best,
Kishore/..
http
Team,
I have a time series data with lot of seasonality and trends. I am familiar
with some forecasting techniques, but for this set, I believe STL would be
the best. Please let me know any tips to use STL using R.
Best,
Kishore
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. Can
some one guide me with some books on R and statistical models using R.
Sincere thanks And Apologies if this thread was already available...
Couldn't get in search
Best,
Kishore/..
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__
R-h
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