This is a custom plot function that operates on objects of class time.series (which is the output generated from the rGARMA
function). This plot function generates a scatterplot matrix of time-series vectors using either ggplot or base graphics.
The user must input either a single time-series vector x or a matrix x where each row is one time-series vector. The function
generates a scatterplot matrix showing each of the time-series. If the plot is generated using ggplot graphics then the user has an
option to include a background showing all points from all the series in grey. The user may choose to print or assign the object, or both.
Since the function generates a scatterplot of time-series plots, there are certain limits in the output. If the user attempts to generate
the plot for a time-series matrix with more than 36 time-series, the user will be prompted to continue and prompted about whether they want
to include the background. The prompts can be removed in the arguments of the function.
# S3 method for time.series
plot(
x,
ggplot = TRUE,
background = TRUE,
print = TRUE,
user.prompt = TRUE,
...
)A vector or matrix of time-series values (if a matrix, each time-series should be one row of the matrix)
Logical; if TRUE the scatterplot is a ggplot object; if FALSE it is a base plot object
Logical; if TRUE then each ggplot scatterplot will include background points for all the time-series vectors
Logical; if TRUE the scatterplot is printed
Logical; if TRUE the user will be prompted for choices when the number if time-series is large
unused
#@examples
data(garma) plot(SERIES)