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-\name{unmarkedFrame}
-\title{Create an unmarkedFrame, or one of its child classes.}
-\alias{unmarkedFrame}
-\usage{unmarkedFrame(y, siteCovs=NULL, obsCovs=NULL, mapInfo, obsToY)}
-\description{Constructor for unmarkedFrames.}
-\arguments{
-  \item{y}{An MxJ matrix of the observed measured data, where M is the
-    number of sites and J is the maximum number of observations per site.}
-  \item{siteCovs}{A \code{\link{data.frame}} of covariates that vary at the
-    site level. This should have M rows and one column per covariate}
-  \item{obsCovs}{Either a named list of \code{\link{data.frame}}s of
-    covariates that vary within sites, or a \code{\link{data.frame}}
-    with MxJ rows in site-major order.}
-  \item{obsToY}{optional matrix specifying relationship between
-    observation-level covariates and response matrix}
-  \item{mapInfo}{geographic coordinate information. Currently ignored.}
-}
-
-\details{
-  unmarkedFrame is the S4 class that holds data structures to be passed
-  to the model-fitting functions in unmarked.
-
-  An unmarkedFrame contains the observations (\code{y}), covariates
-  measured at the observation level (\code{obsCovs}), and covariates
-  measured at the site level (\code{siteCovs}).
-  For a data set with M sites and J observations at each site, y is an
-  M x J matrix. \code{obsCovs} and \code{siteCovs} are both data frames
-  (see \link{data.frame}).  \code{siteCovs} has M rows so that each row
-  contains the covariates for the corresponding sites.
-  \code{obsCovs} has M*obsNum rows so that each covariates is ordered by
-  site first, then observation number.  Missing values are coded with
-  \code{NA} in any of y, siteCovs, or obsCovs.
-
-  Additionally, unmarkedFrames contain metadata: obsToY, mapInfo.
-  obsToY is a matrix describing relationship between response matrix and
-  observation-level covariates. Generally this does not need to be
-  supplied by the user; however, it may be needed when using
-  \code{\link{multinomPois}}. For example, double observer sampling, y
-  has 3 columns corresponding the observer 1, observer 2, and both, but
-  there were only two independent observations.
-  In this situation, y has 3 columns, but obsToY must be specified.
-
-  Several child classes of \code{unmarkedFrame} require addional
-  metadata. For example, \code{unmarkedFrameDS} is used to organize
-  distsance sampling data for the \code{\link{distsamp}} function, and
-  it has arguments dist.breaks, tlength, survey, and unitsIn, which
-  specify the distance interval cut points, transect lengths, "line" or
-  "point" transect, and units of measure, respectively.
-
-  All site-level covariates are automatically copied to obsCovs so that
-  site level covariates are available at the observation level.
-}
-
-\value{an unmarkedFrame object}
-
-\seealso{\code{\link{unmarkedFrame-methods}}}
-
-\examples{
-
-# Set up data for pcount()
-data(mallard)
-mallardUMF <- unmarkedFramePCount(mallard.y, siteCovs = mallard.site,
-	obsCovs = mallard.obs)
-summary(mallardUMF)
-
-
-# Set up data for occu()
-data(frogs)
-pferUMF <- unmarkedFrameOccu(pfer.bin)
-
-
-# Set up data for distsamp()
-data(linetran)
-ltUMF <- with(linetran, {
-	unmarkedFrameDS(y = cbind(dc1, dc2, dc3, dc4),
-	siteCovs = data.frame(Length, area, habitat),
-	dist.breaks = c(0, 5, 10, 15, 20),
-	tlength = linetran$Length * 1000, survey = "line", unitsIn = "m")
-	})
-summary(ltUMF)
-
-
-# Set up data for multinomPois()
-data(ovendata)
-ovenFrame <- unmarkedFrameMPois(ovendata.list$data,
-	siteCovs=as.data.frame(scale(ovendata.list$covariates[,-1])),
-	type = "removal")
-summary(ovenFrame)
-
-
-\dontrun{
-# Set up data for colext()
-frogUMF <- formatMult(masspcru)
-summary(frogUMF)
-}
-
-}