library(scMET)
set.seed(123)
###-----------------------------------
# Generate synthetic data
###-----------------------------------
scmet_dt <- scmet_simulate(N_feat = 150, N_cells = 50, N_cpgs = 15, L = 4, X = NULL,
w_mu = c(-0.5, -1.5), s_mu = 1, w_gamma = c(-1.2, -.3, 1.1, -.9),
s_gamma = 0.2, rbf_c = 1, cells_range = c(0.4, 0.8),
cpgs_range = c(0.4, 0.8))
usethis::use_data(scmet_dt, overwrite = TRUE)
###-----------------------------------
# Generate synthetic differential mean data
###-----------------------------------
set.seed(123)
scmet_diff_dt <- scmet_simulate_diff(N_feat = 200, N_cells = 100, N_cpgs = 15, L = 4,
diff_feat_prcg_mu = 0.05, diff_feat_prcg_gamma = 0.2,
OR_change_mu = 3, OR_change_gamma = 3, X = NULL,
w_mu = c(-0.5, -1.5), s_mu = 1,
w_gamma = c(-1.2, -.3, 1.1, -.9), s_gamma = 0.2,
rbf_c = 1, cells_range = c(0.4, 0.8),
cpgs_range = c(0.4, 0.8))
usethis::use_data(scmet_diff_dt, overwrite = TRUE)
# ###-----------------------------------
# # Generate synthetic differential variability data
# ###-----------------------------------
# scmet_diffvar_dt <- scmet_simulate_diff(N_feat = 200, N_cells = 50, N_cpgs = 15, L = 4,
# diff_feat_prcg_mu = 0, diff_feat_prcg_gamma = 0.2,
# OR_change_mu = 3, OR_change_gamma = 3, X = NULL,
# w_mu = c(-0.5, -1.5), s_mu = 1,
# w_gamma = c(-1.2, -.3, 1.1, -.9), s_gamma = 0.2,
# rbf_c = 1,
# cells_range = c(0.4, 0.8), cpgs_range = c(0.4, 0.8),
# seed = 123)
# usethis::use_data(scmet_diffvar_dt, overwrite = TRUE)
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