View source: R/split_interval_counts.R
split_interval_counts | R Documentation |
split_interval_counts()
splits counts of a given age interval in to
counts for individual years based on a given weighting. Age intervals are
specified by their lower (closed) and upper (open) bounds, i.e. intervals
of the form [lower, upper).
split_interval_counts(
lower_bounds,
upper_bounds,
counts,
max_upper = 100L,
weights = NULL
)
lower_bounds , upper_bounds |
A pair of vectors representing the bounds of the intervals.
Missing (NA) bounds are not permitted. Double vectors will be coerced to integer. |
counts |
Vector of counts to be aggregated. |
max_upper |
Represents the maximum upper bounds permitted upon splitting the data. Any upper bound greater than this will be replaced with this value prior to splitting. Double vectors will be coerced to integer. |
weights |
Population weightings to apply for individual years. If If specified, must be of length |
A data frame with entries age
(in years) and count
.
split_interval_counts(
lower_bounds = c(0, 5, 10),
upper_bounds = c(5, 10, 20),
counts = c(5, 10, 30)
)
split_interval_counts(
lower_bounds = c(0, 5, 10),
upper_bounds = c(5, 10, Inf),
counts = c(5, 10, 30),
max_upper = 15
)
split_interval_counts(
lower_bounds = c(0, 5),
upper_bounds = c(5, 10),
counts = c(5, 10),
max_upper =10,
weights = 1:10
)
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