create contrasts between factor levels
linfct_factors_contrasts(m)Other modelling:
Contrasts,
ContrastsMissing,
ContrastsModerated,
ContrastsPlotter,
ContrastsProDA,
ContrastsROPECA,
ContrastsTable,
INTERNAL_FUNCTIONS_BY_FAMILY,
LR_test(),
Model,
build_model(),
contrasts_fisher_exact(),
get_anova_df(),
get_complete_model_fit(),
get_p_values_pbeta(),
isSingular_lm(),
linfct_all_possible_contrasts(),
linfct_from_model(),
linfct_matrix_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(),
sim_build_models_lm(),
sim_build_models_lmer(),
sim_make_model_lm(),
sim_make_model_lmer(),
strategy_lmer(),
summary_ROPECA_median_p.scaled()
m <- sim_make_model_lm( "interaction")
#> creating sampleName from fileName column
#> completing cases
#> Joining with `by = join_by(protein_Id)`
xl <- linfct_factors_contrasts(m)
m <- lm(Petal.Width ~ Species, data = iris)
linfct_factors_contrasts(m)
#> (Intercept) Speciesversicolor
#> Speciessetosa - Speciesversicolor 0 -1
#> Speciessetosa - Speciesvirginica 0 0
#> Speciesversicolor - Speciesvirginica 0 1
#> Speciesvirginica
#> Speciessetosa - Speciesversicolor 0
#> Speciessetosa - Speciesvirginica -1
#> Speciesversicolor - Speciesvirginica -1