dif_delta: Creating Tolerance interval for a vector of delta values

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

Description

Create a tolerance interval for difference delta values

Usage

dif_delta(data = data, delta = seq(0.01,0.05, by = 0.01), alpha = 0.05,...)

Arguments

data	data to be used
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 calculate the mrl for all values given in the vector for the parameter delta. It will then provide you with the amount of cows that would be said to be safe to milk at different milking times. If there are any cows that do have a different safe milking time then it will stop, if not it will just give the TTSC for the first delta value

Author(s)

Cathal Ryan

Examples

Using pre installed dataset pred_table:
dif_delta(data = pred_table, cows = 25, amount = 8, delta = c(0.05,0.1), alpha = 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.