tol_upper: Tolerance Upper bound

In cathal-ryan-96/Tolerance: Calculate TTSC using Tolerance, Prediction and Confidence Upper Bounds

Description

Provides the ability to calculate tolerance upper bound on a certain data set and by providing a mrl value you can change how much of the medicine is allowed to be still within a cows milk before its considered safe for human consumption

Usage

tol_upper(cows = 20, amount = 10, data = data, alpha = 0.05, ...)

Arguments

data	the dataset to be used, can also use one of the pre-installed datasets in this package
cows	the amount of cows in the dataset
amount	the amount of milkings per cow
alpha	the alpha value to be used for Tolerance, Confidence or Prediction upper bounds
delta	the delta value to be used for the two different types of Tolerance intervals
mrl	Maximum Residue Limit allowed within the milk of each cow
y_variable	column number for the y_variable to be used in calculating the TTSC
time_variable	column number referencing the variable that shows the time at which each milking occured

Details

this function will give out a seperate numerical time value for each seperate cow and also the difference between each milking time

Author(s)

Cathal Ryan

Examples

Using pre installed datset pred_table:
tol_upper(data = pred_table, cows = 25, amount = 8, alpha = 0.05, delta = 0.05, y_variable = 6, time_variable = 3, mrl = log(0.04))

cathal-ryan-96/Tolerance documentation built on July 30, 2019, 11:04 p.m.