TAMU ANOVA was written at Texas A&M University Department of Statistics by three graduate students, Andrew Redd, Krista Rister, and Elizabeth Young. It was written as a class project for a statistical computing class. For comments or bugs please email Andrew.
ANOVA, or Analysis of Variance, is a method for comparing levels of some continuous response variable between different groups. The main idea is to compare variation within each group to variation between the groups; if the groups vary considerably from one group to another in comparison to the within group variation, we can reject the null hypothesis that all the groups have similar levels of the response variable.
TAMU ANOVA contains both single and two factor ANOVA. Use of the package can be facilitated through linking to the compiled library tamuanova. The package function definitions are accessible through tamu_anova.h. The program must still be linked to the GSL (see GSL documentation on linking and compiling.)
The package can be downloaded here.
The documentation in PDF format can be found here.