unmarkedFrame-class {unmarked} | R Documentation |
Methods for manipulating, summarizing and viewing unmarkedFrames
Objects can be created by calls to the constructor function
unmarkedFrame
. These objects are passed to the data argument
of the fitting functions.
y
:"matrix"
obsCovs
:"optionalDataFrame"
siteCovs
:"optionalDataFrame"
mapInfo
:"optionalMapInfo"
plotArea
:"numeric"
obsToY
:"optionalMatrix"
signature(x = "unmarkedFrame", i = "numeric", j = "missing",
drop = "missing")
: ... signature(x = "unmarkedFrame", i = "numeric", j = "numeric",
drop = "missing")
: ... signature(x = "unmarkedFrame", i = "missing", j = "numeric",
drop = "missing")
: ... signature(object = "unmarkedFrame")
: extract
coordinates signature(object = "unmarkedFrame")
: extract y matrix signature(object = "unmarkedFrame")
: extract M signature(object = "unmarkedFrame")
: extract ncol(y) signature(object = "unmarkedFrame")
: extract
observation-level covariates signature(object = "unmarkedFrame")
: add or modify
observation-level covariates signature(object = "unmarkedFrame")
: extract number of
observations signature(object = "unmarkedFrame")
: signature(object = "unmarkedFrame")
: ... signature(x = "unmarkedFrame", y = "missing")
: visualize
response variable.
Takes additional argument panels
which specifies how many
panels data should be split over.
signature(object = "unmarkedFrame")
: extract
projection information signature(object = "unmarkedFrame")
: view data as
data.frame signature(object = "unmarkedFrame")
: extract
site-level covariates signature(object = "unmarkedFrame")
: add or modify
site-level covariates signature(object = "unmarkedFrame")
: summarize data This is a superclass with child classes for each fitting function
unmarkedFrame
, unmarkedFit
,
unmarked-package
# Organize data for pcount() data(mallard) mallardUMF <- unmarkedFramePCount(mallard.y, siteCovs = mallard.site, obsCovs = mallard.obs) # Vizualize it plot(mallardUMF, addgrid=FALSE, col=heat.colors) mallardUMF # Summarize it summary(mallardUMF) str(mallardUMF) numSites(mallardUMF) numY(mallardUMF) obsNum(mallardUMF) # Extract components of data getY(mallardUMF) obsCovs(mallardUMF) obsCovs(mallardUMF, matrices = TRUE) siteCovs(mallardUMF) mallardUMF[1:5,] # First 5 rows in wide format mallardUMF[,1:2] # First 2 observations