# Example on simulated dataset

Next, we propose a simple example in which we fit PheNorm to a simulated dataset.

    library(PheNorm)

Load the data

    set.seed(1234)
    fit.dat <- read.csv("https://raw.githubusercontent.com/celehs/PheNorm/master/data-raw/data.csv")

Apply the PheNorm algorithm

    fit.phenorm=PheNorm.Prob("ICD", "utl", fit.dat, nm.X = NULL, corrupt.rate=0.3, train.size=nrow(fit.dat))
    head(fit.phenorm$probs)
    #> [1] 0.4662471 0.5384967 0.5455023 0.5419286 0.6086979 0.5320170