RunLM: Function that runs linear models and returns interaction...

In IntLIM: Integration of Omics Data Using Linear Modeling

Function that runs linear models and returns interaction p-values.

Description

Function that runs linear models and returns interaction p-values.

Usage

RunLM(
  incommon,
  outcome = 1,
  independentVariable = 2,
  type = "",
  covar = c(),
  continuous = FALSE,
  save.covar.pvals = FALSE,
  keep.highest.pval = FALSE,
  suppressWarnings = FALSE
)

Arguments

incommon	Named list (output of FilterData()) with analyte levels, and associated meta-data
outcome	'1' or '2' must be set as outcome/independent variable (default is '1')
independentVariable	'1' or '2' must be set as outcome/independent variable
type	vector of sample type (by default, it will be used in the interaction term). Only 2 categories are currently supported.
covar	vector of additional vectors to consider
continuous	boolean to indicate whether the data is continuous or discrete
save.covar.pvals	boolean to indicate whether or not to save the p-values of all covariates, which can be analyzed later but will also lengthen computation time. (rather than interaction terms).
keep.highest.pval	boolean to indicate whether or not to remove the pair with the highest p-value across two duplicate models (e.g. m1~m2 and m2~m1)
suppressWarnings	whether or not to suppress warnings.

IntLIM documentation built on Aug. 22, 2022, 5:05 p.m.