R/transform.R
inv_norm.Rd
Inverse normalize a variable (force a normal distribution)
inv_norm(x)
a numeric vector to be inverse normalized
Returns a vector
Luke Pilling
summary(example_data$sbp) #> Min. 1st Qu. Median Mean 3rd Qu. Max. #> 80.0 116.0 130.0 132.8 144.0 270.0 sbp_in = inv_norm(example_data$sbp) summary(sbp_in) #> Min. 1st Qu. Median Mean 3rd Qu. Max. #> -3.414738 -0.700332 0.058712 0.000381 0.664977 3.703302