Grid schedule object

Objects of class ldmppr_grids define one or more grid "levels" used by estimate_process_parameters. Each level contains numeric vectors x, y, and t defining the approximation grid. Levels are typically ordered from coarse to fine.

Usage

# S3 method for class 'ldmppr_grids'
print(x, ...)

# S3 method for class 'ldmppr_grids'
summary(object, ...)

# S3 method for class 'summary.ldmppr_grids'
print(x, ...)

# S3 method for class 'ldmppr_grids'
as.data.frame(x, ...)

# S3 method for class 'ldmppr_grids'
length(x)

# S3 method for class 'ldmppr_grids'
x[i, ...]

# S3 method for class 'ldmppr_grids'
as.list(x, ...)

Arguments

x

an object of class ldmppr_grids.

...

unused.

object

an object of class ldmppr_grids.

i

indices of levels to keep.

Value

print()

prints a brief description of bounds and grid levels.

summary()

returns a summary.ldmppr_grids.

as.data.frame()

returns one row per level with dimensions and ranges.

length()

returns the number of levels.

[ ]

subsets levels, preserving class.

as.list()

returns the underlying list structure.

Details

A ldmppr_grids is a list with (at minimum):

• levels: list of levels; each level is a list with x, y, t

• upper_bounds: numeric c(b_t, b_x, b_y)

• labels: optional labels used only for printing

• include_endpoints: logical

Functions

• print(ldmppr_grids): Print a brief summary of a grid schedule.

• summary(ldmppr_grids): Summarize a grid schedule.

• print(summary.ldmppr_grids): Print a summary produced by summary.ldmppr_grids().

• as.data.frame(ldmppr_grids): Convert a grid schedule to a data.frame.

• length(ldmppr_grids): Number of levels in a grid schedule.

• [: Subset grid levels.

• as.list(ldmppr_grids): Extract the underlying list representation.