In the previous version of the package, the code in local_R/gridPlot_timeseries.R allowed you to create plots of huge number of plots in a model by creating a "histogram matrix". The goal was to have the same visual impact as plotting all of the points individually but do it orders of magnitude faster.
This older version of the code needs a major makeover to be included. The resulting plot should be named grid_timeseriesPlot(). We should move to ggplot and refactor (reduce?) the arguments appropriately.
In the previous version of the package, the code in
local_R/gridPlot_timeseries.R
allowed you to create plots of huge number of plots in a model by creating a "histogram matrix". The goal was to have the same visual impact as plotting all of the points individually but do it orders of magnitude faster.This older version of the code needs a major makeover to be included. The resulting plot should be named
grid_timeseriesPlot()
. We should move to ggplot and refactor (reduce?) the arguments appropriately.