sim_make_model_lm: make interaction model for examples

In wolski/prolfqua: Proteomics Label Free Quantification

make interaction model for examples

Description

make interaction model for examples

Usage

sim_make_model_lm(
  model = c("parallel2", "parallel3", "factors", "interaction")
)

See Also

Other modelling: Contrasts, ContrastsFirth, ContrastsMissing, ContrastsModerated, ContrastsPlotter, ContrastsProDA, ContrastsROPECA, ContrastsTable, INTERNAL_FUNCTIONS_BY_FAMILY, LR_test(), Model, ModelFirth, build_model(), build_model_logistf(), contrasts_fisher_exact(), generate_contrasts(), generate_contrasts_for_factor(), get_anova_df(), get_complete_model_fit(), get_p_values_pbeta(), group_label(), interaction_contrasts(), isSingular_lm(), level_specific_contrasts(), linfct_all_possible_contrasts(), linfct_factors_contrasts(), linfct_from_model(), linfct_matrix_contrasts(), main_effect_contrasts(), merge_contrasts_results(), model_analyse(), model_summary(), moderated_p_limma(), moderated_p_limma_long(), my_contest(), my_contrast(), my_contrast_V1(), my_contrast_V2(), my_glht(), pivot_model_contrasts_2_Wide(), plot_lmer_peptide_predictions(), process_factor(), sim_build_models_lm(), sim_build_models_lmer(), sim_build_models_logistf(), sim_make_model_lmer(), strategy_logistf(), summary_ROPECA_median_p.scaled()

Examples

m <- sim_make_model_lm()
mi <- sim_make_model_lm("interaction")
stopifnot(length(coefficients(summary(mi))[,"Estimate"]) == 4)
mf <- sim_make_model_lmer("factors")
m2 <- sim_make_model_lmer("parallel2")
m3 <- sim_make_model_lmer("parallel3")

wolski/prolfqua documentation built on June 8, 2025, 5:19 a.m.