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2012 Apr 08
0
multithreaded low level functions
Hi all,
I wanted to make sure that I am getting the most from my 8 core computer
running R. I have a distance function like this:
distance <- function(pointX, pointY, vecX, vecY)
{
#convert everything to radians
pointX = pointX * pi/180
pointY = pointY * pi/180
vecX = vecX * pi/180
vecY = vecY * pi/180
#data@coords[,2] = lat
#data@coords[,1] = lon
delta_lon = pointX - vecX
2002 Apr 03
0
help on lme and variance estimation
Hi all,
I have a random effect model that can be written as
y_{ij} = \beta +\alpha_i+ \epslion_{ij}
where \alpha_i ~ N(0,\sigma^2_effect) and \espilon_{ij} ~
N(0,\sigma^2_error)
and i compute
res<-lme(data~1,data=Data,random=~1 | veci)
The estimation of \sigma_error is given by res$sigma but
I don't understand how i can find the estimation of \sigma _effect with
the object res
(I would like to have access to the value of the estimation and not
print the result by using summary(res) or print(res) )
Could you help me ?...