getGeneralizedGaudermanDataFrame: Create Peak Matrices for Generalized 'Gauderman' linear mixed...

In LoBrA: Generalized Spline Mixed Effect Models for Longitudinal Breath Data

Create Peak Matrices for Generalized 'Gauderman' linear mixed effect regression (LMER) Model with parameterized Times

Description

Create Peak Matrices for Generalized 'Gauderman' linear mixed effect regression (LMER) Model with parameterized Times

Usage

getGeneralizedGaudermanDataFrame(
  peakmatrix,
  sampleIds,
  classes,
  center,
  timeperiod,
  gaudermanRange,
  k
)

Arguments

peakmatrix	Peak matrix to be converted.
sampleIds	Ids of samples in the matrix
classes	Classes of samples
center	Time point that corresponds to the center time t0. The algorithm will test whether there is a significant difference between the groups at this point.
timeperiod	defines the time period or segment, in the spline to be tested. Note, a 3 break point spline has 4 segments.
gaudermanRange	range to be tested for a significant difference between the groups.
k	break points for the generalized 'Gauderman' spline model.

Value

Return the new peak matrix data frame for this peak.

LoBrA documentation built on March 22, 2022, 1:06 a.m.