Instead of using the $ operator, using these accessor functions
is the preferred method for accessing the data and result
data frames from an LHS or PLUE object,
as the internal structure of
the object may vary between versions of the package.
get.results(obj, get.mean = TRUE)get.data(obj)
get.N(obj)
get.ninputs(obj)
get.noutputs(obj)
get.repetitions(obj)
The LHS or PLUE object
In case of stochastic models, when several model runs are required for the
same data point, the data slot of the LHS object contains all the
model outputs. Use get.mean=TRUE to get the average values for each point,
or get.mean=FALSE to get all the results.
get.data returns a data.frame consisting on the input data.
get.results returns an array with the model results. See the
vignette on multiple runs for details on the get.mean argument.
get.N, get.ninputs, get.noutputs return a single number each,
with the number of points in the hypercube (or sampling), number of input factors and number of
response variables.
get.repetitions returns the number of model repetitions for each data point,
created by LHS(model, factors, N, repetitions=X), or by telling several
result sets to the same LHS object (or PLUE object).