Applications
General Shiny Applications
The shiny applications below have all been created as part of some of our current projects.

This app allows users to upload and interogate abattoir data, no data is stored. An example dataset is provided to allow users to experiment with the functionality of the app.
Aquaculture Applications
The shiny applications below have all been created for our aquaculture projects.

This app allows users to calculate the appropriate number of pens and fish to sample to estimate different gill scores, based on an anticipated mean value.
Sample Size Calculators
These Shiny applications are all sample size calculators for different situations.

This app contains different calculators to find the sample size needed to:
- Detect a disease in a population,
- Estimate a proportion,
- Estimate a mean,
- Compare proportions,
- Compare means.

A within herd sample size calculator for designating a herd as positive or negative based on a number of animals tested using an imperfect test. Also known as "demonstrating freedom of disease".

A two stage sample size calculator, which is designed to help design surveys to estimate Herd Level Prevalence when the individual test is imperfect.
Other Calculators
These Shiny applications are calculators for other purposes including estimating true herd prevalence.

A predictive values calculator, which will calculate the positive and negative predictive values, from a given sensitivity and specificity, for a range of prevalence estimates.

A Herd sensitivity/specificity calculator for calculating the herd sensitivity and specificity based on the number of animals sampled and the number of positive animals at which the herd will be considered positive. As with the above calculators this is designed for an imperfect test.

The number of test positives divided by the number of animals tested gives the 'apparent prevalence'. If we know the test sensitivity and specificity then we can calculate an estimate for the 'true prevalence' which is what this calculator does.