Represent a grouping of data to be applied when summarising area, timestep, age or length.

# Named grouping of discrete items
mfdb_group(...)

# Pre-baked mfdb_groups for timesteps
mfdb_timestep_yearly
mfdb_timestep_biannually
mfdb_timestep_quarterly

# Grouping of discrete items, names generated by prefix
mfdb_group_numbered(prefix, ...)

# make (count) mfdb_groups, by sampling (count) times from (group)
mfdb_bootstrap_group(count, group, seed = NULL)

Arguments

...

For mfdb_group, all named arguments are expected to be a named list of members for that group. For mfdb_group_numbered, the members do not have to be named, a name will be generated based on the prefix.

prefix

When generating numeric group names, the character prefix to append to the beginning.

group

For mfdb_bootstrap_group, the mfdb_group to do sampling with replacement from.

count

For mfdb_bootstrap_group, how many times to sample each member of the given group.

seed

For mfdb_bootstrap_group, if you want your groups to remain consistent across sessions, then specify a random integer as per RNG.

Value

An mfdb_aggregate object that can then be used in querying functions such as mfdb_sample_count

Examples

## Aggregate age into 2 groups. "young" (for ages 1--3) and ## "old" (for ages 4--6) g1 <- mfdb_group(young = c(1,2,3), old = c(4,5,6)) ## Aggregate areas into "area1" and "area2". g2 <- mfdb_group_numbered("area", c(1011,1012,1013), c(1021,1022)) ## Take 3 samples with replacement from each group in area g3 <- mfdb_bootstrap_group(3, g2)
#> Warning: non-uniform 'Rounding' sampler used