thisisnic commented on a change in pull request #10996:
URL: https://github.com/apache/arrow/pull/10996#discussion_r695580678
##########
File path: r/R/dplyr-functions.R
##########
@@ -808,3 +808,25 @@ agg_funcs$all <- function(x, na.rm = FALSE) {
options = list(na.rm = na.rm, na.min_count = 0L)
)
}
+
+agg_funcs$mean <- function(x, na.rm = FALSE) {
+ list(
+ fun = "mean",
+ data = x,
+ options = list(na.rm = na.rm, na.min_count = 0L)
+ )
+}
+agg_funcs$sd <- function(x, na.rm = FALSE) {
+ list(
+ fun = "stddev",
+ data = x,
+ options = list(ddof = 1)
Review comment:
I've manually set `ddof` here, similarly to how we've manually set
`na.min_count` without exposing this to the end user, but actually, would it
make sense to add it as an argument with a default value of `1`? I could see
`ddof` (i.e. delta degrees of freedom) maybe being useful in some statistical
contexts.
What governs whether we just mimic existing R behaviour vs. expose Arrow's
additional functionality?
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