linfct_from_model: get linfct from model

In wolski/prolfqua: Proteomics Label Free Quantification

get linfct from model

Description

get linfct from model

Usage

linfct_from_model(m, as_list = TRUE)

Arguments

m	linear model

See Also

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_factors_contrasts(), 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()

Examples

m <- sim_make_model_lm("factors")
linfct <- linfct_from_model(m, as_list = TRUE)

linfct$linfct_factors
linfct$linfct_interactions
lf <- matrix(
c(1, 1, 1, 1, 0.5, 0.5, 0, 1, 0, 1, 0.5, 0.5),
nrow = 4,
byrow = FALSE,
dimnames = list(c("BackgroundX", "BackgroundZ", "TreatmentA", "TreatmentB"),
                c("(Intercept)", "TreatmentB", "BackgroundZ"))
)
stopifnot(lf == linfct$linfct_factors)
m <- sim_make_model_lm("interaction")
linfct <- linfct_from_model(m)

m <- lm(Petal.Width ~ Species, data = iris)
linfct_from_model(m)
xx <- data.frame( Y = 1:10 , Condition = c(rep("a",5), rep("b",5)) )
m <- lm(Y ~ Condition, data = xx)
linfct_from_model(m)
xx <- data.frame( Y = 1:10 , Condition = c(rep("a",5), rep("b.b",5)) )
m <- lm(Y ~ Condition, data = xx)
linfct_from_model(m)
xx <- data.frame( Y = 1:10 , Condition = c(rep("a",5), rep("ab",5)) )
m <- lm(Y ~ Condition, data = xx)
linfct_from_model(m)

wolski/prolfqua documentation built on Dec. 4, 2024, 11:18 p.m.