compute_keggModule_milkType_association: Compute association between reads mapping to predicted KEGG...

In rbarner/infantMilkConsumption: Create statistical tables and plots used in manuscript "Formula with Added Sugars Significantly Alters Gut Microbiota and Cognitive Development in Hispanic Infants"

Description

This function will output the results of multiple statistical models determining association between KEGG (Kyoto Encyclopedia of Genes and Genomes) modules and milk consumption type at 6-months of age.

Usage

compute_keggModule_milkType_association()

Value

The output will be a data frame with the following columns:

allOutcomes	KEGG module
bfList	Mean (Standard Deviation) of KEGG module in breastfed group
tfList	Mean (Standard Deviation) of KEGG module in traditional formula fed group
asfList	Mean (Standard Deviation) of KEGG module in added-sugar formula fed group
difftfbfList	Mean difference (Lower confidence level, upper confidence level) between diversity metric in traditional formula and breastfed groups
pValTFBF_list	P-value of difference between traditional formula group and breastfed group
diffasfbfList	Mean difference (Lower confidence level, upper confidence level) between added-sugar formula group and breastfed group
pValTFBF_list	P-value of difference between added-sugar formula group and breastfed group

Author(s)

Roshonda B. Jones

Examples

compute_keggModule_milkType_association()

rbarner/infantMilkConsumption documentation built on Nov. 19, 2019, 12:36 a.m.