fitCyclic: Fits the cyclic model, using a simple linear model.

In PeterVerboon/cyclicpkg: Analysis of (ESM/EMA) models with cyclic terms

Description

This function fits the cyclic model, using a simple linear model (see Verboon & Leontjevas, 2018)

Usage

fitCyclic(dat, yvar = NULL, xvar = NULL, grp = NULL, cov = NULL,
  P = NULL, ymin = -1, ymax = 1, step = 0.25, xlabs = NULL,
  ylabs = NULL)

Arguments

dat	data frame containing the variables
yvar	dependent variable
xvar	time variabele, usually indicates the beeps or other numerical variable. Time format is also possible.
grp	group variabele indicator, usually indicates the days, used in "raw" plot.
cov	vector of names containing additional variabeles (e.g. cov = c("x1", "daynr"))
P	the periodicity of the cycle. If NULL P will be computed from the data.
ymin, ymax, step	parameters that control axes of the plot
xlabs, ylabs	labels respectively for x-axis and y-axis of the plots

Value

list containing the following elements:

parameters = amplitude and phase

fit = object from lm()

rawDataPlot = plot of predicted values for all observations

meansPlot = plot with predictions averaged over subjects,

oneCyclePlot = plot with predictions for one cycle,

Examples

data("pdat")
fitCyclic(dat=pdat, yvar = "stress", xvar = "beepnr", grp = "daynr")

PeterVerboon/cyclicpkg documentation built on March 4, 2020, 1:27 p.m.