get linfct from model
linfct_from_model(m, as_list = TRUE)
linear model
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()
m <- sim_make_model_lm("factors")
#> creating sampleName from fileName column
#> completing cases
#> Joining with `by = join_by(protein_Id)`
linfct <- linfct_from_model(m, as_list = TRUE)
linfct$linfct_factors
#> (Intercept) TreatmentB BackgroundZ
#> BackgroundX 1 0.5 0.0
#> BackgroundZ 1 0.5 1.0
#> TreatmentA 1 0.0 0.5
#> TreatmentB 1 1.0 0.5
linfct$linfct_interactions
#> (Intercept) TreatmentB BackgroundZ
#> TreatmentA:BackgroundX 1 0 0
#> TreatmentA:BackgroundZ 1 0 1
#> TreatmentB:BackgroundX 1 1 0
#> TreatmentB:BackgroundZ 1 1 1
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")
#> creating sampleName from fileName column
#> completing cases
#> Joining with `by = join_by(protein_Id)`
linfct <- linfct_from_model(m)
m <- lm(Petal.Width ~ Species, data = iris)
linfct_from_model(m)
#> $linfct_factors
#> (Intercept) Speciesversicolor Speciesvirginica
#> Speciessetosa 1 0 0
#> Speciesversicolor 1 1 0
#> Speciesvirginica 1 0 1
#>
#> $linfct_interactions
#> (Intercept) Speciesversicolor Speciesvirginica
#> Speciessetosa 1 0 0
#> Speciesversicolor 1 1 0
#> Speciesvirginica 1 0 1
#>
xx <- data.frame( Y = 1:10 , Condition = c(rep("a",5), rep("b",5)) )
m <- lm(Y ~ Condition, data = xx)
linfct_from_model(m)
#> $linfct_factors
#> (Intercept) Conditionb
#> Conditiona 1 0
#> Conditionb 1 1
#>
#> $linfct_interactions
#> (Intercept) Conditionb
#> Conditiona 1 0
#> Conditionb 1 1
#>
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)
#> $linfct_factors
#> (Intercept) Conditionb.b
#> Conditiona 1 0
#> Conditionb.b 1 1
#>
#> $linfct_interactions
#> (Intercept) Conditionb.b
#> Conditiona 1 0
#> Conditionb.b 1 1
#>
xx <- data.frame( Y = 1:10 , Condition = c(rep("a",5), rep("ab",5)) )
m <- lm(Y ~ Condition, data = xx)
linfct_from_model(m)
#> $linfct_factors
#> (Intercept) Conditionab
#> Conditiona 1 0
#> Conditionab 1 1
#>
#> $linfct_interactions
#> (Intercept) Conditionab
#> Conditiona 1 0
#> Conditionab 1 1
#>