context("plot mHMM and mHMM.gamma") ################ ### CREATE OUTPUT OBJECTS TO TEST ################ ## general properties tested model n_t <- 100 n <- 10 m <- 3 J = 11 burn_in = 5 n_dep <- 2 q_emiss <- c(4,2) gamma <- matrix(c(0.8, 0.1, 0.1, 0.2, 0.6, 0.2, 0.1, 0.2, 0.7), ncol = m, byrow = TRUE) emiss_distr <- list(matrix(c(0.45, 0.45, 0.05, 0.05, 0.1, 0.05, 0.8, 0.05, 0.1, 0.1, 0.2, 0.6), nrow = m, ncol = q_emiss[1], byrow = TRUE), matrix(c(0.7, 0.3, 0.9, 0.1, 0.8, 0.2), nrow = m, ncol = q_emiss[2], byrow = TRUE) ) set.seed(4231) data_sim <- sim_mHMM(n_t = n_t, n = n, gen = list(m = m, n_dep = n_dep, q_emiss = q_emiss), gamma = gamma, emiss_distr = emiss_distr, var_gamma = .5, var_emiss = c(.5, 0.5)) colnames(data_sim$obs) <- c("subj", "output_1", "output_2") # Fit the mHMM on 2 dep variable data set.seed(3523) out_2st_simb <- mHMM(s_data = data_sim$obs, gen = list(m = m, n_dep = n_dep, q_emiss = q_emiss), start_val = c(list(gamma), emiss_distr), mcmc = list(J = J, burn_in = burn_in), show_progress = FALSE) #################### ## TESTING ############### test_that("plotting functions don't throw unexpected errors", { gamma1_g <- obtain_gamma(out_2st_simb) gamma1_subj <- obtain_gamma(out_2st_simb, level = "subject") emmis1_g <- obtain_emiss(out_2st_simb) # plot.mHMM expect_silent(plot(out_2st_simb)) expect_silent(plot(out_2st_simb, component = "gamma")) expect_silent(plot(out_2st_simb, component = "emiss")) expect_silent(plot(out_2st_simb, component = "emiss", dep = 1)) expect_silent(plot(out_2st_simb, component = "emiss", dep = 2, burn_in = 4, cat_lab = c("active", "not active"))) expect_silent(plot(out_2st_simb, component = "gamma", col = c("goldenrod", "steelblue", "indianred"), cat_lab = c("active", "not active"))) expect_silent(plot(out_2st_simb, component = "emiss", bty = "l")) expect_error(plot(out_2st_simb, component = "a"), "component should be a string") ab <- c(2,3,4) expect_error(plot.mHMM(ab), "should be from the class mHMM") expect_error(plot(out_2st_simb, burn_in = 10), "burn in period should be at least 2 points smaller") # plot.mHMM_gamma expect_silent(plot(gamma1_g)) expect_silent(plot(gamma1_subj, subj_nr = 3)) expect_silent(plot(gamma1_subj, subj_nr = 3, col = rep( c("goldenrod", "steelblue", "indianred"), each = 3))) expect_warning(plot(gamma1_g, subj_nr = 2), "only be specified when plotting the subject level") expect_error(plot(gamma1_subj), "specified with the input variable -subj_nr-") expect_error(plot.mHMM_gamma(out_2st_simb), "should be from the class mHMM_gamma") expect_error(plot.mHMM_gamma(emmis1_g), "should be from the class mHMM_gamma") })