Nothing
test_that("Comorbildity association test", {
covar <- risk_factor(ukb.data=covid_example("sim_ukb.tab.gz"),
ABO.data=covid_example("sim_covid19_misc.txt.gz"),
hesin.file=covid_example("sim_hesin.txt.gz"),
res.eng=covid_example("sim_result_england.txt.gz"))
phe <- makePhenotypes(ukb.data=covid_example("sim_ukb.tab.gz"),
res.eng=covid_example("sim_result_england.txt.gz"),
death.file=covid_example("sim_death.txt.gz"),
death.cause.file=covid_example("sim_death_cause.txt.gz"),
hesin.file=covid_example("sim_hesin.txt.gz"),
hesin_diag.file=covid_example("sim_hesin_diag.txt.gz"),
hesin_oper.file=covid_example("sim_hesin_oper.txt.gz"),
hesin_critical.file=covid_example("sim_hesin_critical.txt.gz"),
code.file=covid_example("coding240.txt.gz"),
pheno = "susceptibility")
comorb <- comorbidity_summary(ukb.data=covid_example("sim_ukb.tab.gz"),
hesin.file=covid_example("sim_hesin.txt.gz"),
hesin_diag.file=covid_example("sim_hesin_diag.txt.gz"),
ICD10.file=covid_example("ICD10.coding19.txt.gz"),
primary = FALSE,
Date.start = "16/03/2020")
comorb.asso <- comorbidity_asso(pheno=phe,
covariates=covar,
cormorbidity=comorb[,1:11],
population="white",
cov.name=c("sex","age","bmi","SES","smoke","inAgedCare"),
phe.name="pos.neg",
ICD10.file=covid_example("ICD10.coding19.txt.gz"))
expect_s3_class( comorb.asso, "data.frame" )
expect_equal( ncol(comorb.asso), 6 )
expect_equal( colnames(comorb.asso), c("ICD10","Estimate","OR","2.5%","97.5%","p") )
})
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