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Apply what covariate_audit() reports

Source: R/covariates.R
covariates_to_numeric.Rd

Factors whose levels are all numeric become numeric, so they enter a model linearly the way the SAS job specifies.

A factor with a genuinely non-numeric level is left alone and will be dummy-coded – the right outcome for a real categorical, and the wrong one for a mean-imputed binary. covariate_audit's action column is where a reader sees which of the two happened; check it before reading any coefficient.

Usage

covariates_to_numeric(data, vars)

Arguments

data

A data frame.

vars

Character vector of covariate names.

Value

data, with the convertible columns coerced to numeric.

See also

covariate_audit

Examples

d <- data.frame(hx_htn = factor(c("0", "1", "0.714047")))
str(covariates_to_numeric(d, "hx_htn"))
#> 'data.frame':	3 obs. of  1 variable:
#>  $ hx_htn: num  0 1 0.714