Nothing
context("plot_commonness")
library(dplyr)
testdata <- data.frame("1" = c(0,0,0,1,0,0),
"2" = c(0,0,1,0,0,0),
"3" = c(1,0,0,0,1,0),
"4" = c(0,0,1,0,0,1),
"5" = c(1,1,1,1,1,0))
alpha_list_test <- testdata %>% summarise_all(sum) %>% as.numeric()
total_gamma_test <- testdata %>% filter_all(any_vars(sum(.) != 0)) %>% nrow()
target_matrix_test <- testdata %>% as.matrix() %>% spectre:::calculate_solution_commonness_rcpp()
res_sim <- run_optimization_min_conf(alpha_list = alpha_list_test,
total_gamma = total_gamma_test,
target = target_matrix_test,
max_iterations = 200,
verbose = FALSE)
test_that("plot_commonness returns ggplot", {
plot_c <- plot_commonness(res_sim, target = target_matrix_test)
expect_is(object = plot_c, class = "ggplot")
})
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