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lmeForm <- structure(function#LME formula
### This function computes LME formulas from multilevel ecological
### data series (MEDS).
##details<< Formulas of the form \code{resp ~ cov
##| group} (see \code{\link{groupedData}}
##function) are computed from MEDS. The formulas
##can be implemented by
##\code{\link{modelFrame}} function to detrend MEDS
##references<< Pinheiro J. C.,
##D. M. Bates. 2000. Mixed-effects models in S
##and S-PLUS. Springer, New York.
(
rd, ##<< \code{data.frame}. Multilevel ecological data series
prim.cov = FALSE, ##<<\code{Logical}: should the LME formula only
##be printed in primary covariate form: '~ cov'?
##If FALSE then a complete form: 'resp ~ covar |
##group' is formulated.
resp = NULL, ##<<\code{NULL} or \code{character}. Column name of
##the response. If NULL then the name of the first
##numeric column of the MEDS is used.
covar = NULL, ##<<\code{NULL} or \code{character}. Column name(s)
##of the covariate(s). If \code{NULL} then the name
##of the first time-unit column in the MEDS is used.
lev.rm = NULL ##<< \code{NULL}, \code{character} or \code{numeric}
##vector of levels in the MEDS to be removed from
##the groups.
) {
if(is.null(resp))
resp <- cClass(rd, 'numeric')[1L]
if(is.null(covar))
covar <- cClass(rd, 'integer')[1L]
covar. <- paste('~',covar,sep = ' ')
covar <- paste(resp,'~',covar,sep = ' ')
f <- cClass(rd, 'factor')
if(is.numeric(lev.rm))
lev.rm <- f[lev.rm]
nf <- rev(f[!f%in%lev.rm])
sep. <- ' | '
if(length(nf) == 0)
sep. <- ''
fc <- paste(nf,collapse = '/')
fr <- paste(covar,fc,sep = sep.)
fr <- formula(fr,showEnv = FALSE)
if(prim.cov)fr <- covar.
return(fr)
### \code{formula} with any of the forms: \code{resp ~ cov | group} or
### \code{~ cov}.
} , ex=function(){
##Multilevel ecological data series of tree-ring widths:
data(Prings05,envir = environment())
## LME formula:
form1 <- lmeForm(Prings05,prim.cov = FALSE)
print(form1)
## removing the sample level from the formula
form2 <- lmeForm(Prings05,lev.rm = 'sample')
form2 <- lmeForm(Prings05,lev.rm = 1)
## groupedData object with the LME formula
gdata <- groupedData(lmeForm(Prings05,lev.rm = 1),
data = Prings05)
plot(gdata,groups = ~ sample)
})
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