R Under development (unstable) (2024-09-06 r87103 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library("matrixStats")
> 
> # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> # Naive R implementation of binMeans()
> # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> binMeans0 <- function(y, x, bx, na.rm = TRUE, count = TRUE, right = FALSE) {
+   n_smooth <- length(bx) - 1L
+   res <- double(n_smooth)
+   counts <- rep(NaN, times = n_smooth)
+ 
+   if (na.rm) {
+     keep <- !is.na(x) & !is.na(y)
+     x <- x[keep]
+     y <- y[keep]
+   }
+ 
+   # For each bin...
+   for (kk in seq_len(n_smooth)) {
+     if (right) {
+       idxs <- which(bx[kk] <  x & x <= bx[kk + 1L])
+     } else {
+       idxs <- which(bx[kk] <= x & x <  bx[kk + 1L])
+     }
+     y_kk <- y[idxs]
+     res[kk] <- mean(y_kk)
+     counts[kk] <- length(idxs)
+   } # for (kk ...)
+ 
+   if (count) attr(res, "count") <- counts
+   res
+ }
> 
> 
> # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> # Subsetted tests
> # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
> source("utils/validateIndicesFramework.R")
> y <- runif(6, min = -6, max = 6)
> x <- runif(6, min = -6, max = 6)
> storage.mode(x) <- "integer"
> bx <- c(-6, 0, 3, 4, 10)
> for (idxs in index_cases) {
+   for (na.rm in c(TRUE, FALSE)) {
+     validateIndicesTestVector_w(y, x, idxs,
+                                 ftest = binMeans, fsure = binMeans0,
+                                 bx = bx, na.rm = na.rm,
+                                 count = TRUE, right = FALSE)
+     validateIndicesTestVector_w(y, x, idxs,
+                                 ftest = binMeans, fsure = binMeans0,
+                                 bx = bx, na.rm = na.rm,
+                                 count = TRUE, right = TRUE)
+   }
+ }
> 
> proc.time()
   user  system elapsed 
   0.32    0.07    0.39