my_contrast_V2: handles incomplete models

In wolski/prolfqua: Proteomics Label Free Quantification

handles incomplete models

Description

only keeps non NA coefficients.

Usage

my_contrast_V2(m, linfct, confint = 0.95)

Arguments

m	linear model generated using lm
linfct	linear function
confint	confidence interval default 0.95

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_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_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)$linfct_factors
my_contrast_V2(m, linfct, confint = 0.95)
my_contrast_V2(m, linfct, confint = 0.99)

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