LTASR (version 0.1.4)

smr_custom: Calculate SMRs for Custom minor groupings

Description

smr_major will collapse minor outcomes into "major" groupings as defined in the rate object, rateobj.

Usage

smr_custom(smr_minor_table, minor_grouping)

Value

A data.frame/tibble containing the expected and observed number of deaths as well the SMR, lower CI and upper CI for the outcome by the user

Arguments

smr_minor_table

A data.frame/tibble as created by smr_minor containing observed and expected number of deaths for each minor outcome

minor_grouping

A numeric vector defining which minors to group together

Examples

library(LTASR)
library(dplyr)

#Import example person file
person <- person_example %>%
  mutate(dob = as.Date(dob, format='%m/%d/%Y'),
         pybegin = as.Date(pybegin, format='%m/%d/%Y'),
         dlo = as.Date(dlo, format='%m/%d/%Y'))

#Import default rate object
rateobj <- us_119ucod_19602021

#Stratify person table
py_table <- get_table(person, rateobj)

#Calculate SMRs for all minors
smr_minor_table <- smr_minor(py_table, rateobj)

#Calculate custom minor grouping for all deaths
smr_custom(smr_minor_table, 1:119)

#' #Calculate custom minor grouping for all deaths
smr_custom(smr_minor_table, 4:40)