View source: R/custom_ageg_aggregation.R
custom_ageg_aggregation | R Documentation |
Smart aggregation of cancer cases per age group
custom_ageg_aggregation(
dat,
ncan.min = 5,
add.total = FALSE,
ncan.lab = "ncan",
py.lab = "py"
)
dat |
tibble, a single cancer/sex/country tibble containing cancer cases from a registry. It sould contains the column ageg and ncan |
ncan.min |
integer, the minimal number of cancer in each category |
add.total |
logical, should the 'total' category added to the output dataset |
ncan.lab |
character, the column label where cancer cases are stored |
py.lab |
character, the column label where (optional) population at risk are stored |
aggregated dataset where all the age group contains at least ncan.min cancers cases
dat <-
dplyr::tribble(
~ ageg, ~ ncan,
'00_04', 0,
'05_09', 0,
'10_14', 0,
'15_19', 0,
'20_24', 1,
'25_29', 2,
'30_34', 4,
'35_39', 5,
'40_44', 1,
'45_49', 10,
'50_54', 14,
'55_59', 1,
'60_64', 2,
'65_69', 2,
'70_74', 5,
'75_79', 1,
'80_84', 0,
'85', 0
)
custom_ageg_aggregation(dat, 0)
custom_ageg_aggregation(dat, 5)
custom_ageg_aggregation(dat, 10)
custom_ageg_aggregation(dat, 100)
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