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A general description is here.
New generic ‘chooseOpsMethod()’ provides a mechanism for objects to resolve cases where two suitable methods are found for an Ops Group Generic. This supports experimenting with alternative object systems. Based on contributions by Tomasz Kalinowski in PR#18484.
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.