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A general description is here.
The ‘tapply()’ function now accepts a data frame as its ‘X’ argument, and allows ‘INDEX’ to be a formula in that case. ‘by.data.frame()’ similarly allows ‘INDICES’ to be a formula.
The ‘"glm"’ method for ‘anova()’ computes test statistics and p-values by default, using a chi-squared test or an F test depending on whether the dispersion is fixed or free. Test statistics can be suppressed by giving argument ‘test’ a false logical value.