library(lme4)
context("plottingFunctions")
set.seed(1)
test_that("plot_correlations works as intended", {
candlist = expand.grid(Location = as.character(c("East", "West")),
Climate = as.factor(c("Dry", "Wet", "Arid")),
Vineyard = as.factor(c("A", "B", "C", "D")),
Age = c(1, -1))
design = gen_design(candlist, ~., 23)
expect_silent(plot_correlations(design))
expect_silent(plot_correlations(design, model = ~Location + Climate + Vineyard + Age + I(Age ^ 2)))
expect_silent(plot_correlations(design, pow = 3))
expect_silent(plot_correlations(design, customcolors = c("black", "grey", "white")))
expect_warning({plot_correlations(eval_design(candlist, ~., 0.2), customcolors = c("black", "grey", "white"))}, "high_resolution_candidate_set")
expect_silent(plot_correlations(eval_design(design, ~., 0.2), customcolors = c("black", "grey", "white")))
})
test_that("plot_fds works as intended", {
candlist = expand.grid(Location = as.character(c("East", "West")),
Climate = as.factor(c("Dry", "Wet", "Arid")),
Vineyard = as.factor(c("A", "B", "C", "D")),
Age = c(1, -1))
design = gen_design(candlist, ~., 23)
expect_silent(plot_fds(design))
expect_silent(plot_fds(design, continuouslength = 3))
expect_silent(plot_fds(design, model = ~Location + Climate + Vineyard + Age + Age:Vineyard))
expect_silent(plot_fds(eval_design(design, ~., 0.2)))
expect_warning({cand_evaled = eval_design(candlist, ~., 0.2)})
expect_error(plot_fds(cand_evaled), "high_resolution_candidate_set")
})
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