perform_logistic: Logistic regression
In antonvsdata/amp: Smoothing Metabolomics Analyses

Description Usage Arguments Details Value See Also Examples

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

1 2	perform_logistic(object, formula_char, all_features = FALSE, ci_level = 0.95, ...)

`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?
`ci_level`	the confidence level used in constructing the confidence intervals for regression coefficients
`...`	additional parameters passed to glm

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

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

glm

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