testing_assoc: Function that tests for associations and returns results....

In syyang93/analyzeR: This package contains functions that Stephanie uses for her analysis of recount RNAseq data.

Description

Function that tests for associations and returns results. DOES NOT merge with gene info, for use with tpm datasets. This function will do a single linear regression and extract the coefficients from the regression.

Usage

testing_assoc(lm_full,
  to_correct = "+ as.factor(covariates$SEX) + as.numeric(covariates$AGE)+ as.numeric(covariates$RACE) + covariates$PC1 + covariates$PC2 +covariates$PC3+ covariates$PC4 + covariates$PC5 + covariates$PC6 + covariates$PC7 + covariates$PC8 + covariates$PC9 + covariates$PC10")

Arguments

lm_full	The data frame containing genes, covariates, and mtDNA-CN info
to_correct	A string containing additional covariates to correct for. ex: '+as.factor(covariates$DTHHRDY)+as.factor(covariates$RACE)'
lm_data	Our dependent variables. Column = dependent variable, rows = observations (in this case, individuals) (numeric vector)

Value

Coefficients from the regression

Examples

lm_results <- testing_assoc(lm_full)

syyang93/analyzeR documentation built on Aug. 26, 2020, 4:34 p.m.