plot_per_mod: Plotting function for periodic curves model
In peRiodiCS: Functions for Generating Periodic Curves

Description Usage Arguments

View source: R/plot_per_mod.R

Plots graph of periodic curves with confidence intervals. Data should be included in the model.

plot_per_mod(Model, XvarName, Ylab = "Response", Xlab = "Covariate",
  Ylim = NULL, Xlim = NULL, Xmin = NULL, Xmax = NULL, Knots = NULL,
  Title = NULL, Vlines = NULL, Hlines = NULL, Cex.lab = NULL,
  Cex.main = NULL, Cex.axis = NULL, Axes = TRUE, Add = FALSE,
  Col = "black", PlotCI = TRUE, Smooth = FALSE, xLocation = 2)

`Model`	The built model
`XvarName`	Name of the x variable in the dataset (column name)
`Ylab`	Label on vertical (y) axis
`Xlab`	Label on horizontal (x) axis
`Ylim`	Limits of y axis
`Xlim`	Limits of x axis
`Xmin`	The min X of data to be predicted (if Smooth)
`Xmax`	The max X of data to be predicted (if Smooth)
`Knots`	Locations of knots of the splines
`Title`	Title of the plot
`Vlines`	Where to plot vertical lines
`Hlines`	Where to plot horizontal lines
`Cex.lab`	Character expansion (aka "size of font") for the labels
`Cex.main`	Character expansion for main text
`Cex.axis`	Character expansion for the axis text
`Axes`	Plot axes
`Add`	Add to existing plot
`Col`	Color of the plotted lines
`PlotCI`	Plot confidence intervals
`Smooth`	Make the Xaxis values equidistant (and the curve smoother)
`xLocation`	If smooth FALSE, the location of the x term in model$x[, xLocation]