Covariate adjustment — adjustByCovariates • subtyper

Adjust a training vector value by nuisance variables eg field strength etc. One may want to use a specific sub-group for this, e.g. controls.

adjustByCovariates(
  mxdfin,
  adjustmentFormula,
  groupVariable,
  group,
  allowMissing = FALSE
)

Arguments

mxdfin: Input data frame with repeated measurements and a grouped time variable
adjustmentFormula: string defining a valid formula to be used in lm.
groupVariable: names of the column that defines the group to use for training.
group: string defining a subgroup on which to train
allowMissing: boolean

data frame with adjusted measurement variable as defined in formula

Avants BB

mydf = generateSubtyperData( 100 )
myform = "cognition ~ RandomBasisProjection01 "
mydf = adjustByCovariates(mydf,myform,"DX","G0")