library(LRMF3) # arguments that i haven't tested yet: k, tau_row, tau_col # also x itself / different types of input # other test: recover A with k = rank(A) # recover A when using transformations # four options: center, recenter, degree_normalize, renormalize # 16 options total, but can only recenter or renormalize after centering # or scaling in the first place, expect errors in those cases test_that("vsp.Matrix defaults", { expect_silent( vsp(ml100k, rank = 5) ) }) test_that("vsp.Matrix FFFF", { expect_silent( vsp( ml100k, rank = 5, center = FALSE, recenter = FALSE, degree_normalize = FALSE, renormalize = FALSE ) ) }) test_that("vsp.Matrix FFFT", { expect_error( vsp( ml100k, rank = 5, center = FALSE, recenter = FALSE, degree_normalize = FALSE, renormalize = TRUE ), regexp = "`renormalize` must be FALSE when `degree_normalize` is FALSE." ) }) test_that("vsp.Matrix FFTF", { expect_silent( vsp( ml100k, rank = 5, center = FALSE, recenter = FALSE, degree_normalize = TRUE, renormalize = FALSE ) ) }) test_that("vsp.Matrix FFTT", { expect_silent( vsp( ml100k, rank = 5, center = FALSE, recenter = FALSE, degree_normalize = TRUE, renormalize = TRUE ) ) }) test_that("vsp.Matrix FTFF", { expect_error( vsp( ml100k, rank = 5, center = FALSE, recenter = TRUE, degree_normalize = FALSE, renormalize = FALSE ), regexp = "`recenter` must be FALSE when `center` is FALSE." ) }) test_that("vsp.Matrix FTFT", { expect_error( vsp( ml100k, rank = 5, center = FALSE, recenter = TRUE, degree_normalize = FALSE, renormalize = TRUE ), regexp = "`recenter` must be FALSE when `center` is FALSE." ) }) test_that("vsp.Matrix FTTF", { expect_error( vsp( ml100k, rank = 5, center = FALSE, recenter = TRUE, degree_normalize = TRUE, renormalize = FALSE ), regexp = "`recenter` must be FALSE when `center` is FALSE." ) }) test_that("vsp.Matrix FTTT", { expect_error( vsp( ml100k, rank = 5, center = FALSE, recenter = TRUE, degree_normalize = TRUE, renormalize = TRUE ), regexp = "`recenter` must be FALSE when `center` is FALSE." ) }) test_that("vsp.Matrix TFFF", { expect_silent( vsp( ml100k, rank = 5, center = TRUE, recenter = FALSE, degree_normalize = FALSE, renormalize = FALSE ) ) }) test_that("vsp.Matrix TFFT", { expect_error( vsp( ml100k, rank = 5, center = TRUE, recenter = FALSE, degree_normalize = FALSE, renormalize = TRUE ), regexp = "`renormalize` must be FALSE when `degree_normalize` is FALSE." ) }) test_that("vsp.Matrix TFTF", { expect_silent( vsp( ml100k, rank = 5, center = TRUE, recenter = FALSE, degree_normalize = TRUE, renormalize = FALSE ) ) }) test_that("vsp.Matrix TFTT", { expect_silent( vsp( ml100k, rank = 5, center = TRUE, recenter = FALSE, degree_normalize = TRUE, renormalize = TRUE ) ) }) test_that("vsp.Matrix TTFF", { expect_silent( vsp( ml100k, rank = 5, center = TRUE, recenter = TRUE, degree_normalize = FALSE, renormalize = FALSE ) ) }) test_that("vsp.Matrix TTFT", { expect_error( vsp( ml100k, rank = 5, center = TRUE, recenter = TRUE, degree_normalize = FALSE, renormalize = TRUE ), regexp = "`renormalize` must be FALSE when `degree_normalize` is FALSE." ) }) test_that("vsp.Matrix TTTF", { expect_silent( vsp( ml100k, rank = 5, center = TRUE, recenter = TRUE, degree_normalize = TRUE, renormalize = FALSE ) ) }) test_that("vsp.Matrix TTTT", { expect_silent( vsp( ml100k, rank = 5, center = TRUE, recenter = TRUE, degree_normalize = TRUE, renormalize = TRUE ) ) })