R Under development (unstable) (2026-01-25 r89330 ucrt) -- "Unsuffered Consequences"
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> # Tests for svdr
> require("irlba")
Loading required package: irlba
Loading required package: Matrix
> loc <- ""
> 
> test <- function()
+ {
+   on.exit(message("Error occured in: ", loc))
+   # Dense matrix
+   loc <<- "svdr dense"
+   set.seed(1)
+   A <- matrix(rnorm(16), 4)
+   L <- svdr(A, 1)
+   S <- svd(A, nu=1, nv=1)
+   stopifnot(isTRUE(all.equal(L$d, S$d[1])))
+ 
+   loc <<- "svdr dense m > n"
+   A <- matrix(rnorm(50 * 40), 50)
+   L <- svdr(A, 5, extra=15)
+   S <- svd(A, nu=5, nv=5)
+   stopifnot(isTRUE(all.equal(L$d, S$d[1:5])))
+ 
+   loc <<- "svdr dense m < n"
+   A <- matrix(rnorm(50 * 40), 40)
+   L <- svdr(A, 5, extra=15)
+   S <- svd(A, nu=5, nv=5)
+   stopifnot(isTRUE(all.equal(L$d, S$d[1:5])))
+ 
+   # Sparse but not dgCMatrix (issue #6)
+   loc <<- "svdr misc sparse"
+   A <- Matrix(matrix(rnorm(100), 10))
+   L <- svdr(A, 1)
+   S <- svd(A, nu=1, nv=1)
+   stopifnot(isTRUE(all.equal(L$d, S$d[1])))
+ 
+   loc <<- "svdr logical sparse"
+   A <- Matrix(sample(c(FALSE, TRUE), 100, replace=TRUE), 10, 10)
+   L <- svdr(A, 1)
+   S <- svd(A, nu=1, nv=1)
+   stopifnot(isTRUE(all.equal(L$d, S$d[1])))
+ 
+   loc <<- "svdr center only, sparse"
+   A <- Matrix(matrix(rnorm(100), 10))
+   m <- colMeans(A)
+   L <- svdr(A, 3, center=m)
+   S <- svd(scale(A, center=TRUE, scale=FALSE))
+   stopifnot(isTRUE(all.equal(L$d, S$d[1:3])))
+ 
+   on.exit()
+ }
> test()
> 
> proc.time()
   user  system elapsed 
   1.35    0.26    1.54