Advanced Statistics  Biology 6030 
Bowling Green State University, Fall 2017 
DA is used in the situation where group membership is known for a set of individuals and where we have obtained a variety of measures from each individual. Recall our discussions on Multiple Linear Regression Analysis, where we developed an equation that summarized the relationship between a dependent and a set of independent variables. Similarly, DA obtains an equation that best separates members of the groups.
In R you first need to import datafile "BodyMeasures.txt", define n to represent the sample size, and group your response variables into a set using cbind.
Make sure you have library MASS installed and perform a Linear Discriminant Analysis. CV=TRUE generates jacknifed (i.e., leave one out) predictions
Now assess the accuracy of the prediction by testing for the percent of the cases that are classified correctly, and the total percent correct
Display the results of a linear classifications two variables at a time.
