getLinearModelWithInteraction: run linear model with interaction between independent...

In cusom/CUSOM.ShinyHelpers: CU School of Medicine Helper Functions for Shiny Applications

run linear model with interaction between independent variable and specificed interaction variable

Description

run linear model with interaction between independent variable and specificed interaction variable

Usage

getLinearModelWithInteraction(
  .data,
  id,
  key,
  response,
  independentVariable,
  covariates,
  interactionVariable,
  adjustmentMethod = "none",
  ...
)

Arguments

.data	A dataframe
id	A string or numeric column - represents a unique observation within each key/group combination. PersonId, LabId, etc
key	A string or numeric column - key value for dataframe. Statistics will be computed between groups for each key value
response	numeric column - used as response variable in linear model
independentVariable	a string or numeric column used as independent variable in linear model
covariates	vector of features names in the dataset to be added to linear model as covariates
interactionVariable	a string or numeric column in dataset to be added to interaction term with response variable
adjustmentMethod	optional argument specifiying multiple hypothesis correction to apply to linear model result - defaults to "none"
...	dots - accomodate additional arguments when function is called as parent router

Value

dataframe containing resulting p.values for each key/group stat test

cusom/CUSOM.ShinyHelpers documentation built on Oct. 23, 2023, 6:50 a.m.