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Prepare Mental Disorder Prevalence Data

Source: R/fn_make.R
make_disorders_tb.Rd

Reshapes and standardises mental disorder prevalence tables prior to contingency-table generation.

Usage

make_disorders_tb(
  data_tb,
  age_vars_chr = c("AgeGroup9", "...1"),
  age_groups_chr = c("16–24", "25–34", "35–44", "45–54", "55–64", "65–74",
    "75–85"),
  rows_by_sex_ls = list(Female = 31:43, Male = 17:29),
  sex_var_1L_chr = "SEXP"
)

Arguments

data_tb

Input prevalence table.

age_vars_chr

Variable names describing age groups.

age_groups_chr

Age groups to retain.

rows_by_sex_ls

Row locations corresponding to each sex.

sex_var_1L_chr

Name of the sex variable.

Value

A tibble containing disorder prevalence estimates by age and sex.

Details

The function harmonises age-group labels, assigns sex labels and returns a tidy table suitable for modelling workflows.

Examples

if (FALSE) { # \dontrun{
disorders_tb <- make_disorders_tb(
  data_tb = survey_tb
)
} # }