Dear Christof,
You want the predict() function. See ?predict.lme for the details.
Best regards,
Thierry
PS Questions on lme() can be asked at r-sig-mixed models.
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51
+ 32 54 43 61 85
Thierry.Onkelinx at inbo.be
www.inbo.be
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-----Oorspronkelijk bericht-----
Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] Namens Christof Klu?
Verzonden: woensdag 13 juni 2012 10:21
Aan: r-help at stat.math.ethz.ch
Onderwerp: [R] lme: extract result-function
Hi,
mod <- lme(A ~ -1 + B+C+D+E+F+G, random = ~1 | ...)
results in summary(mod)$coeff
B C D E F G (Intercept)
b c d e f g i
Now I'm interested in the function
f <- function(B,C,D,E,F,G) <- {
return(i + b*B + c*C + d*D + e*E + f*F + g*G) }
Is there a easier way to create such function with flexible number of coefficient, than do it by hand?
thx
Christof
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