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A general description is here.
rcond(<exactly singular matrix>) now gives 0 instead of an error.
axis() was ignoring par() mgp[3] is mgp was set in-line.
co[rv](use = "complete.obs") now always gives an error if there are no complete cases: they used to give NA if method = "pearson" but an error for the other two methods. (Note that this is pretty arbitrary, but zero-length vectors always give an error so it is at least consistent.)
Since sd(na.rm=TRUE) and var(na.rm=TRUE) both call cov(use = "complete.obs"), this applies also to them.
cor(use="pair") used to give diagonal 1 even if the variable was completely missing for the rank methods but NA for the Pearson method: it now gives NA in all cases.
cor(use="pair") for the rank methods gave a matrix result with dimensions > 0 even if one of the inputs had 0 columns.