runLM: Fit a linear model to expression data for a single gene

In dalejbarr/RR53: Reanalysis of "A functional genomic perspective on well-being"

Description

Fit a linear model to expression data for a single gene

Usage

runLM(gdat, pdat, calibrate = TRUE, joinby = "SID", resids = FALSE)

Arguments

gdat	Data frame containing expression data for the gene
pdat	Data frame contining predictors
calibrate	Use Fredrickson et al.'s predictors (TRUE) or Brown et al.'s (FALSE)
joinby	What field to join genetic data with psychometric data (leave as is)
resids	Whether to use residualized genetic data or raw data

Value

A data frame with field Pred naming the predictor, and x containing its value.

dalejbarr/RR53 documentation built on May 14, 2019, 3:30 p.m.