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
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.