perform_logistic: Logistic regression

In antonvsdata/notame: Workflow for non-targeted LC-MS metabolic profiling

Logistic regression

Description

Fits a logistic regression model separately for each feature. Returns all relevant statistics.

Usage

perform_logistic(object, formula_char, all_features = FALSE, ...)

Arguments

object	a MetaboSet object
formula_char	character, the formula to be used in the linear model (see Details)
all_features	should all features be included in FDR correction?
...	additional parameters passed to glm

Details

The logistic regression model is fit on combined_data(object). Thus, column names in pData(object) can be specified. To make the formulas flexible, the word "Feature" must be used to signal the role of the features in the formula. "Feature" will be replaced by the actual Feature IDs during model fitting, see the example

Value

a data frame with one row per feature, with all the relevant statistics of the linear model as columns

See Also

glm

Examples

# A simple example without QC samples
# Time predicted by features
logistic_results <- perform_logistic(drop_qcs(example_set),
  formula_char = "Time ~ Feature + Group "
)

antonvsdata/notame documentation built on Sept. 14, 2024, 11:09 p.m.