Nothing
test_that("input verification", {
with_seed(101, {
train <- data_gen(100)
test <- data_gen(100)
})
vars <- c("a", "y", "x")
expect_setequal(colnames(train), vars)
expect_setequal(colnames(test), vars)
adj.mat <- c(
# a, y, x
0L, 0L, 1L, # a
0L, 0L, 0L, # y
0L, 1L, 0L # x
)
adj.mat <- matrix(adj.mat, nrow = length(vars), ncol = length(vars),
byrow = TRUE, dimnames = list(vars, vars))
expect_error(
fairadapt(Y ~ z + x, train.data = train, test.data = test,
adj.mat = adj.mat, prot.attr = "a"),
"object 'Y' not found"
)
expect_error(
fairadapt(y ~ z + x, train.data = train, test.data = test,
adj.mat = adj.mat, prot.attr = "a"),
"object 'z' not found"
)
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = adj.mat, prot.attr = "A"),
"is not TRUE"
)
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = adj.mat + 1, prot.attr = "a"),
"has entries that are not"
)
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = adj.mat, prot.attr = "a",
quant.method = "noname"),
"could not find function \"quant.method\""
)
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = adj.mat, prot.attr = "a",
res.vars = "noname"),
"are not true"
)
na.dat <- with_seed(102, data_gen(100))
na.dat$x <- NA
expect_error(
fairadapt(y ~ ., train.data = na.dat, test.data = test,
adj.mat = adj.mat, prot.attr = "a"),
"not greater than 0"
)
expect_error(
fairadapt(y ~ ., train.data = train, test.data = na.dat,
adj.mat = adj.mat, prot.attr = "a"),
"not equal to 0"
)
w.dat <- with_seed(103, data_gen(100))
w.dat <- cbind(w.dat, z = 0)
expect_error(
fairadapt(y ~ ., train.data = w.dat, test.data = test,
adj.mat = adj.mat, prot.attr = "a"),
"undefined columns selected"
)
tmp.mat <- adj.mat
tmp.mat["y", "x"] <- 1L
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = tmp.mat, prot.attr = "a"),
"not an acyclic matrix"
)
tmp.mat <- adj.mat
dimnames(tmp.mat) <- NULL
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = tmp.mat, prot.attr = "a"),
"is not TRUE"
)
tmp.mat <- adj.mat
rownames(tmp.mat) <- c("a", "a", "a")
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = tmp.mat, prot.attr = "a"),
"is not TRUE"
)
colnames(tmp.mat) <- c("a", "a", "a")
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = tmp.mat, prot.attr = "a"),
"is not TRUE"
)
tmp.mat <- adj.mat
colnames(tmp.mat) <- c("a", "x2", "y")
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = tmp.mat, prot.attr = "a"),
"equal column and row names"
)
tmp.mat <- adj.mat
rownames(tmp.mat) <- c("a", "x1", "y")
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = tmp.mat, prot.attr = "a"),
"equal column and row names"
)
tmp.mat <- adj.mat
dimnames(tmp.mat) <- rep(list(c("a", "x1", "y")), 2)
expect_error(
fairadapt(y ~ ., train.data = train, test.data = test,
adj.mat = tmp.mat[c("x1", "y"), c("x1", "y")], prot.attr = "a"),
"is not TRUE"
)
})
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