plot_per_mod {peRiodiCS} | R Documentation |
Plotting function for periodic curves model
Description
Plots graph of periodic curves with confidence intervals. Data should be included in the model.
Usage
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)
Arguments
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] |