PomaOddsRatio: Logistic Regression Model Odds Ratios

Description Usage Arguments Value Author(s) Examples

View source: R/PomaOddsRatio.R

Description

PomaOddsRatio() calculates the Odds Ratios for each feature from a logistic regression model using the binary outcome (group/type must be a binary factor) as a dependent variable.

Usage

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PomaOddsRatio(data, feature_name = NULL, covariates = FALSE, showCI = TRUE)

Arguments

data

A MSnSet object. First pData column must be the subject group/type.

feature_name

A vector with the name/s of feature/s that will be used to fit the model. If it's NULL (default), all variables will be included in the model.

covariates

Logical that indicates if covariates will be included in logistic regression model. Default is FALSE.

showCI

Logical that indicates if the 95% confidence intervals will be plotted. Default is TRUE.

Value

A data frame with the Odds Ratios for all features with their 95% confidence intervals and a ggplot2 object.

Author(s)

Pol Castellano-Escuder

Examples

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data("st000336")

st000336 %>% 
  PomaImpute() %>%
  PomaNorm() %>%
  PomaOddsRatio(feature_name = c("glutamic_acid", "glutamine", 
                                 "glycine", "histidine"))

pcastellanoescuder/POMA documentation built on May 14, 2021, 11:07 p.m.