Description Usage Arguments See Also Examples
View source: R/dashboard-prep.R
This will ensure correct ordering in plots, etc. Uses age_map
sample data to identify factor levels.
1 | factor_age_acs(pop, suppress_check = TRUE)
|
pop |
data frame: input population data for state |
suppress_check |
logical: If TRUE, does not print a coding summary |
Other functions to prepare data for summarization:
aggregate_pop()
,
extrapolate_pop()
,
prep_pop()
,
quarterly_filter()
,
quarterly_lapse()
,
recode_history()
1 2 3 4 5 6 | ## Not run:
db_census <- "E:/SA/Data-production/Data-Dashboards/_Shared/census.sqlite3"
pop <- load_pop(db_census, "NC")
pop <- factor_age_acs(pop, suppress_check = FALSE)
## End(Not run)
|
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