Class "unmarkedFrame"
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
:Object of class "matrix"
obsCovs
:Object of class "optionalDataFrame"
siteCovs
:Object of class "optionalDataFrame"
mapInfo
:Object of class "optionalMapInfo"
obsToY
:Object of class "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
# Organize data for pcount() data(mallard) mallardUMF <- unmarkedFramePCount(mallard.y, siteCovs = mallard.site, obsCovs = mallard.obs) # Vizualize it plot(mallardUMF) 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
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