onestep: calculates the bacterial count at the end of a process step

In NPMPM: tertiary probabilistic model in predictive microbiology for use in food manufacture

Description

calculates the bacterial count at the end of a process step, default method onestep assumes the set of cfus to be normally distributed, method disconestep uses its frequency distribution

Usage

onestep(cfu_in, pstep, pdistpsteps, apsomvmethod, intexmethod)
disconestep(cfu_in, pstep, pdistpsteps, apsomvmethod, intexmethod)

Arguments

cfu_in	initial bacterial concentration
pstep	pstep is one row of psteps <- data.frame(name, id, process_id, temp_min, temp_max, time_min, time_max, matrix_id, factor, stepnumber)
pdistpsteps	method for determining the process step duration
apsomvmethod	method for selection of series of measured values
intexmethod	interpolation method

Value

one bacterial concentration (in cfu/ml)

Author(s)

Nadine Schoene

NPMPM documentation built on May 29, 2017, 11:48 a.m.