R Under development (unstable) (2023-12-09 r85665 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2023 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")
> 
> rowProds_R <- function(x, FUN = prod, na.rm = FALSE, ..., useNames = NA) {
+   res <- apply(x, MARGIN = 1L, FUN = FUN, na.rm = na.rm)
+   if (is.na(useNames) || !useNames) names(res) <- NULL
+   res
+ }
> 
> all.equal.na <- function(target, current, ...) {
+   # Computations involving NaN may return NaN or NA, cf. ?is.nan
+   current[is.nan(current)] <- NA_real_
+   target[is.nan(target)] <- NA_real_
+   all.equal(target, current, ...)
+ }
> 
> for (mode in c("integer", "double")) {
+   # Missing values
+   x <- matrix(c(1, NA, NaN, 1, 1, 0, 1, 0), nrow = 4, ncol = 2)
+   cat("mode: ", mode, "\n", sep = "")
+   storage.mode(x) <- mode
+   str(x)
+   
+   # To check names attribute
+   dimnames <- list(letters[1:4], LETTERS[1:2])
+   
+   # Test with and without dimnames on x
+   for (setDimnames in c(TRUE, FALSE)) {
+     if (setDimnames) dimnames(x) <- dimnames
+     else dimnames(x) <- NULL
+     # Check names attribute
+     for (useNames in c(if (!matrixStats:::isUseNamesNADefunct()) NA, TRUE, FALSE)) {
+       y0 <- rowProds_R(x, na.rm = TRUE, useNames = useNames)
+       print(y0)
+       y1 <- rowProds(x, na.rm = TRUE, useNames = useNames)
+       print(y1)
+       y2 <- colProds(t(x), na.rm = TRUE, useNames = useNames)
+       print(y2)
+       stopifnot(all.equal(y1, y0))
+       stopifnot(all.equal(y2, y1))
+       
+       # Missing values
+       y0 <- rowProds_R(x, na.rm = FALSE, useNames = useNames)
+       print(y0)
+       y1 <- rowProds(x, na.rm = FALSE, useNames = useNames)
+       print(y1)
+       y2 <- colProds(t(x), na.rm = FALSE, useNames = useNames)
+       print(y2)
+       stopifnot(all.equal(y1, y0))
+       stopifnot(all.equal(y2, y1))
+       
+       # "Empty" rows
+       y0 <- rowProds_R(x[integer(0), , drop = FALSE], na.rm = FALSE, useNames = useNames)
+       print(y0)
+       y1 <- rowProds(x[integer(0), , drop = FALSE], na.rm = FALSE, useNames = useNames)
+       print(y1)
+       y2 <- colProds(t(x[integer(0), , drop = FALSE]), na.rm = FALSE, useNames = useNames)
+       print(y2)
+       stopifnot(all.equal.na(y1, y0))
+       stopifnot(all.equal(y2, y1))
+       stopifnot(length(y1) == 0L)
+       
+       # Using product()
+       y1 <- rowProds(x, method = "expSumLog", na.rm = FALSE, useNames = useNames)
+       print(y1)
+       y2 <- colProds(t(x), method = "expSumLog", na.rm = FALSE, useNames = useNames)
+       print(y2)
+       stopifnot(all.equal(y2, y1))
+     }
+   }
+ } # for (mode ...)
mode: integer
 int [1:4, 1:2] 1 NA NA 1 1 0 1 0
a b c d 
1 0 1 0 
a b c d 
1 0 1 0 
a b c d 
1 0 1 0 
 a  b  c  d 
 1 NA NA  0 
 a  b  c  d 
 1 NA NA  0 
 a  b  c  d 
 1 NA NA  0 
numeric(0)
numeric(0)
numeric(0)
 a  b  c  d 
 1 NA NA  0 
 a  b  c  d 
 1 NA NA  0 
[1] 1 0 1 0
[1] 1 0 1 0
[1] 1 0 1 0
[1]  1 NA NA  0
[1]  1 NA NA  0
[1]  1 NA NA  0
numeric(0)
numeric(0)
numeric(0)
[1]  1 NA NA  0
[1]  1 NA NA  0
[1] 1 0 1 0
[1] 1 0 1 0
[1] 1 0 1 0
[1]  1 NA NA  0
[1]  1 NA NA  0
[1]  1 NA NA  0
numeric(0)
numeric(0)
numeric(0)
[1]  1 NA NA  0
[1]  1 NA NA  0
[1] 1 0 1 0
[1] 1 0 1 0
[1] 1 0 1 0
[1]  1 NA NA  0
[1]  1 NA NA  0
[1]  1 NA NA  0
numeric(0)
numeric(0)
numeric(0)
[1]  1 NA NA  0
[1]  1 NA NA  0
mode: double
 num [1:4, 1:2] 1 NA NaN 1 1 0 1 0
a b c d 
1 0 1 0 
a b c d 
1 0 1 0 
a b c d 
1 0 1 0 
  a   b   c   d 
  1  NA NaN   0 
  a   b   c   d 
  1  NA NaN   0 
  a   b   c   d 
  1  NA NaN   0 
numeric(0)
numeric(0)
numeric(0)
 a  b  c  d 
 1 NA NA  0 
 a  b  c  d 
 1 NA NA  0 
[1] 1 0 1 0
[1] 1 0 1 0
[1] 1 0 1 0
[1]   1  NA NaN   0
[1]   1  NA NaN   0
[1]   1  NA NaN   0
numeric(0)
numeric(0)
numeric(0)
[1]  1 NA NA  0
[1]  1 NA NA  0
[1] 1 0 1 0
[1] 1 0 1 0
[1] 1 0 1 0
[1]   1  NA NaN   0
[1]   1  NA NaN   0
[1]   1  NA NaN   0
numeric(0)
numeric(0)
numeric(0)
[1]  1 NA NA  0
[1]  1 NA NA  0
[1] 1 0 1 0
[1] 1 0 1 0
[1] 1 0 1 0
[1]   1  NA NaN   0
[1]   1  NA NaN   0
[1]   1  NA NaN   0
numeric(0)
numeric(0)
numeric(0)
[1]  1 NA NA  0
[1]  1 NA NA  0
> 
> 
> # Bug report 2012-06-25
> x <- matrix(c(1, 1, 1, 1, 1, 0, 1, 0), nrow = 4, ncol = 2)
> y0 <- rowProds_R(x)
> print(y0)
[1] 1 0 1 0
> y1 <- rowProds(x)
> print(y1)
[1] 1 0 1 0
> y2 <- colProds(t(x))
> print(y2)
[1] 1 0 1 0
> stopifnot(all.equal.na(y1, y0))
> stopifnot(all.equal.na(y1, x[, 1] * x[, 2]))
> stopifnot(all.equal.na(y2, y1))
> # Check names attribute
> dimnames(x) <- dimnames
> y0 <- rowProds_R(x, useNames = TRUE)
> print(y0)
a b c d 
1 0 1 0 
> y1 <- rowProds(x, useNames = TRUE)
> print(y1)
a b c d 
1 0 1 0 
> y2 <- colProds(t(x), useNames = TRUE)
> print(y2)
a b c d 
1 0 1 0 
> stopifnot(all.equal.na(y1, y0))
> stopifnot(all.equal.na(y1, x[, 1] * x[, 2]))
> stopifnot(all.equal.na(y2, y1))
> 
> # Bug report 2014-03-25 ("all rows contains a zero")
> x <- matrix(c(0, 1, 1, 0), nrow = 2, ncol = 2)
> # To check names attribute
> dimnames <- list(letters[1:2], LETTERS[1:2])
> y0 <- rowProds_R(x)
> print(y0)
[1] 0 0
> y1 <- rowProds(x)
> print(y1)
[1] 0 0
> y2 <- colProds(t(x))
> print(y2)
[1] 0 0
> stopifnot(all.equal.na(y1, y0))
> stopifnot(all.equal.na(y1, c(0, 0)))
> stopifnot(all.equal.na(y2, y1))
> # Check names attribute
> dimnames(x) <- dimnames
> y0 <- rowProds_R(x, useNames = TRUE)
> print(y0)
a b 
0 0 
> y1 <- rowProds(x, useNames = TRUE)
> print(y1)
a b 
0 0 
> y2 <- colProds(t(x), useNames = TRUE)
> print(y2)
a b 
0 0 
> stopifnot(all.equal.na(y1, y0))
> stopifnot(all.equal.na(y2, y1))
> 
> proc.time()
   user  system elapsed 
   0.15    0.07    0.23