# test w4mclassfilter::w4m_filter_imputation
library(base)
library(testthat)
library(w4mclassfilter)
test_that("variance by rank or file test", {
m <- matrix(
c(
1, 2, 3,
5, 7, 11,
13, 17, 19
)
, nrow = 3
, ncol = 3
, byrow = TRUE
)
rowvars <- w4m__var_by_rank_or_file(m = m, dim = 1)
expecteds <- c(var(c(1, 2, 3)), var(c(5, 7, 11)), var(c(13, 17, 19)))
all.equal(rowvars, expecteds)
expect_equivalent(rowvars, expecteds, info = "variance by row validation")
colvars <- w4m__var_by_rank_or_file(m = m, dim = 2)
expecteds <- c(var(c(1, 5, 13)), var(c(2, 7, 17)), var(c(3, 11, 19)))
all.equal(colvars, expecteds)
expect_equivalent(colvars, expecteds, info = "variance by column validation")
})
test_that("variance one-column", {
m <- matrix(
c(
1,
5,
13
)
, nrow = 3
, ncol = 1
, byrow = TRUE
)
rowvars <- w4m__var_by_rank_or_file(m = m, dim = 1)
expecteds <- c(NaN, NaN, NaN)
all.equal(rowvars, expecteds)
expect_equivalent(rowvars, expecteds, info = "variance by row validation")
colvars <- w4m__var_by_rank_or_file(m = m, dim = 2)
expecteds <- var(c(1, 5, 13))
all.equal(colvars, expecteds)
expect_equivalent(colvars, expecteds, info = "variance by column validation")
})
test_that("variance one-row", {
m <- matrix(
c( 1, 5, 13 )
, nrow = 1
, ncol = 3
, byrow = FALSE
)
colvars <- w4m__var_by_rank_or_file(m = m, dim = 2)
expecteds <- c(NaN, NaN, NaN)
all.equal(colvars, expecteds)
expect_equivalent(colvars, expecteds, info = "variance by column validation")
rowvars <- w4m__var_by_rank_or_file(m = m, dim = 1)
expecteds <- var(c(1, 5, 13))
all.equal(rowvars, expecteds)
expect_equivalent(rowvars, expecteds, info = "variance by row validation")
})
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