Tests whether the difference between two or more regression lines is significant
Slope.test(...)The return value consists of the following components:
slope, intercept, r-squared, F-ratio, "d(egrees of) f(reedom)" and "prob(ability that) line fits data" for the separate data matrices entered.
F-ratio, "d(egrees of) f(reedom)", and "Probability of them being DIFFERENT" for the slope and for the intercept of the combined data.
the combined x-data for all the matrices.
the combined y-data for all the matrices.
the category vectors for the combined data (consists of 1, 0 and -1).
the number of rows in each matrix.
the sum number of matrices entered.
this function takes any number of two column matrices. The first column is the y-data (in the case of locus equations, this is the vowel onset) and the second column is the x-data (in the case of locus equations, vowel target).
see E. Pedhazur, Multiple Regression in Behavioral Research p.436-450, 496-507.
lm(), summary.lm(), pf()