collapse version 2.0.13

• collapse now explicitly supports xts/zoo and units objects and concurrently removes an additional check in the .default method of statistical functions that called the matrix method if is.matrix(x) && !inherits(x, "matrix"). This was a smart solution to account for the fact that xts objects are matrix-based but don't inherit the "matrix" class, thus wrongly calling the default method. The same is the case for units, but here, my recent more intensive engagement with spatial data convinced me that this should be changed. For one, under the previous heuristic solution, it was not possible to call the default method on a units matrix, e.g., fmean.default(st_distance(points_sf)) called fmean.matrix() and yielded a vector. This should not be the case. Secondly, aggregation e.g. fmean(st_distance(points_sf)) or fmean(st_distance(points_sf), g = group_vec) yielded a plain numeric object that lost the units class (in line with the general attribute handling principles). Therefore, I have now decided to remove the heuristic check within the default methods, and explicitly support zoo and units objects. For Fast Statistical Functions, the methods are FUN.zoo <- function(x, ...) if(is.matrix(x)) FUN.matrix(x, ...) else FUN.default(x, ...) and FUN.units <- function(x, ...) if(is.matrix(x)) copyMostAttrib(FUN.matrix(x, ...), x) else FUN.default(x, ...). While the behavior for xts/zoo remains the same, the behavior for units is enhanced, as now the class is preserved in aggregations (the .default method preserves attributes except for ts), and it is possible to manually invoke the .default method on a units matrix and obtain an aggregate statistic. This change may impact computations on other matrix based classes which don't inherit from "matrix" (mts does inherit from "matrix", and I am not aware of any other affected classes, but user code like m <- matrix(rnorm(25), 5); class(m) <- "bla"; fmean(m) will now yield a scalar instead of a vector. Such code must be adjusted to either class(m) <- c("bla", "matrix") or fmean.matrix(m)). Overall, the change makes collapse behave in a more standard and predictable way, and enhances its support for units objects central in the sf ecosystem.

• fquantile() now also preserves the attributes of the input, in line with quantile().