Nothing
test_that("check perm_tester errors", {
data <- text2map::meta_shakespeare
null_model <- lm(body_count ~ 1, data = data)
expect_error(out1 <- perm_tester(
data = data,
model = null_model,
perm_var = "body_count",
statistic = "coefficients",
perm_n = 500,
alternative = "two.sided",
alpha = .01,
seed = 8675309
))
})
test_that("does perm_tester worky", {
data <- text2map::meta_shakespeare
model <- lm(body_count ~ boas_problem_plays + year + genre, data = data)
# without stratified permutations, two-sided test
out1 <- perm_tester(
data = data,
model = model,
perm_var = "body_count",
statistic = "coefficients",
perm_n = 500,
alternative = "two.sided",
alpha = .01,
seed = 8675309
)
# with stratified permutations, two-sided test
out2 <- perm_tester(
data = data,
model = model,
perm_var = "body_count",
strat_var = "boas_problem_plays",
statistic = "coefficients",
perm_n = 500,
alternative = "two.sided",
alpha = .01,
seed = 8675309
)
# left-tailed test
out3 <- perm_tester(
data = data,
model = model,
perm_var = "body_count",
statistic = "coefficients",
perm_n = 500,
alternative = "left",
alpha = .01,
seed = 8675309
)
# right-tailed test
out4 <- perm_tester(
data = data,
model = model,
perm_var = "body_count",
statistic = "coefficients",
perm_n = 500,
alternative = "right",
alpha = .01,
seed = 8675309
)
# all
out5 <- perm_tester(
data = data,
model = model,
perm_var = "body_count",
statistic = "coefficients",
perm_n = 500,
alternative = "all",
alpha = .01,
seed = 8675309
)
# without stratified permutations, two-sided test, different seed
out6 <- perm_tester(
data = data,
model = model,
perm_var = "body_count",
statistic = "coefficients",
perm_n = 500,
alternative = "all",
alpha = .01,
seed = 59801
)
# without stratified permutations, two-sided test,no perm_var
out7 <- perm_tester(
data = data,
model = model,
statistic = "coefficients",
perm_n = 500,
alternative = "two.sided",
alpha = .01,
seed = 8675309
)
expect_equal(dim(out1), as.integer(c(length(coef(model)), 6L)) )
expect_equal(dim(out2), as.integer(c(length(coef(model)), 6L)) )
expect_equal(dim(out3), as.integer(c(length(coef(model)), 6L)) )
expect_equal(dim(out4), as.integer(c(length(coef(model)), 6L)) )
expect_equal(dim(out5), as.integer(c(length(coef(model)), 14L)) )
expect_type(out1, "list")
expect_type(out2, "list")
expect_type(out3, "list")
expect_type(out4, "list")
expect_type(out5, "list")
expect_equal(out1$CI_two_lo, out5$CI_two_lo)
expect_equal(out1$CI_two_up, out5$CI_two_up)
expect_equal(out3$CI_left_lo, out5$CI_left_lo)
expect_false(all(out6 == out5))
expect_equal(out1, out7)
})
test_that("does rancor_builder worky", {
dtm <- dtm_builder(
data = my_corpus,
text = clean_text,
doc_id = line_id
)
df <- data.frame(
vocab = colnames(dtm),
freqs = colSums(dtm)
)
# convert to probabilities
df$probs <- df$freqs / sum(df$freqs)
# create random DTM
rDTM1 <- df |> rancor_builder(vocab, probs)
rDTM2 <- df |> rancor_builder(vocab, probs)
rDTM3 <- df |> rancor_builder(vocab, probs, seed = 59801)
rDTM4 <- df |> rancor_builder(vocab, probs, seed = 59801)
expect_equal(dim(rDTM1), c(100L, 24L))
expect_equal(dim(rDTM2), c(100L, 24L))
expect_equal(dim(rDTM3), c(100L, 24L))
expect_equal(dim(rDTM4), c(100L, 24L))
expect_false(all(rDTM1 == rDTM2))
expect_true(all(rDTM3 == rDTM4))
rDTM5 <- df |> rancor_builder(vocab, probs,
n_docs = 1000L,
len_mean = 700,
len_var = 10L,
len_min = 20L,
len_max = 1000L)
rDTM6 <- df |> rancor_builder(vocab, probs,
n_docs = 1050L,
len_mean = 700,
len_var = 10L,
len_min = 20L,
len_max = 1000L)
expect_equal(dim(rDTM5), c(1000L, 24L))
expect_equal(dim(rDTM6), c(1050L, 24L))
})
test_that("does rancors_builder worky", {
dtm <- dtm_builder(
data = my_corpus,
text = clean_text,
doc_id = line_id
)
df <- data.frame(
vocab = colnames(dtm),
freqs = colSums(dtm)
)
# convert to probabilities
df$probs <- df$freqs / sum(df$freqs)
# create random DTM
ls_dtms <- df |>
rancors_builder(vocab,
probs,
n_cors = 20,
n_docs = 100,
len_mean = c(50, 200),
len_var = 5,
len_min = 20,
len_max = 1000,
seed = 59801
)
expect_identical(length(ls_dtms), 20L)
expect_true(all(lengths(ls_dtms) == (length(df$vocab) * 100)))
ls_dtms2 <- df |>
rancors_builder(vocab,
probs,
n_cors = 20,
n_docs = 100,
len_mean = c(50, 200),
len_var = 5,
len_min = 20,
len_max = 1000,
seed = 59801
)
ls_dtms3 <- df |>
rancors_builder(vocab,
probs,
n_cors = 20,
n_docs = 100,
len_mean = c(50, 200),
len_var = 5,
len_min = 20,
len_max = 1000,
seed = 59802
)
expect_identical(ls_dtms, ls_dtms2)
expect_false(all(ls_dtms[[1]] == ls_dtms3[[1]]))
ls_dtms4 <- df |>
rancors_builder(vocab,
probs,
n_cors = 20,
n_docs = 100,
len_mean = c(50, 200),
len_var = c(5, 20),
len_min = 20,
len_max = 1000,
seed = 59802
)
expect_equal(length(ls_dtms4), 20)
expect_type(ls_dtms4, "list")
expect_type(ls_dtms4[[1]], "S4")
expect_s4_class(ls_dtms4[[1]], "dgCMatrix")
expect_true(min(rowSums(ls_dtms4[[1]])) > 20)
expect_true(max(rowSums(ls_dtms4[[1]])) < 1000)
expect_true(min(rowSums(ls_dtms4[[10]])) > 20)
expect_true(max(rowSums(ls_dtms4[[10]])) < 1000)
})
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