learn a thing or two. Does anyone have any clues or
tricks to get around this problem? My guess is that it will simply be very
difficult (impossible?) to obtain this type of relative error (eps = 1e-4) and
I will have no choice but to pursue the simulation approach.
Thanks for any responses ([
I am making a plot and am merely trying to increase the line thickness, or
width, of the box drawn around the legend. The help page on 'legend' was of
no use. Does anyone have any ideas?
[[alternative HTML version deleted]]
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R-help@stat.
<>
RecfS <- ts(recife, start = c(1953,1), frequency = 12) <>
plot(RecfS, ylab = “Temperature (deg C)”, xlab = “Year”, main = “Average
air temperature (deg C) at Recife, Brazil, in successive months from
1953 to 1962”, adj = 0.5)
Thanks,
Philip Turk
<>
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To those who might be interested -- following is the solution to my
previous post regarding reproducing output from SAS Proc Mixed for a
two-factor crossed random effects ANOVA model.
I am graciously endebted to the kind replys from two statisticians for
this solution whose names I will refrain fr
I asked this before and I am going to try again in more applied terms. I
am trying to use R to extract variance components for a two-factor random
effects model with both factors crossed. It would also be nice to
generate some confidence intervals as well. For example, a data set
using SAS Proc
before that would be willing to help? Thank you.
Philip Turk
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