create_binned_data: Convert data from raster format to binned format
In emeyers/NDTr: The Neural Decoding Toolbox in R

This function takes the name of a directory that contains files in raster format and averages the data within a specified bin width at specified sampling interval increments to create data in binned format used for decoding.

create_binned_data(
  raster_dir_name,
  save_prefix_name,
  bin_width,
  sampling_interval,
  start_time = NULL,
  end_time = NULL,
  files_contain = ""
)

`raster_dir_name`	A string that contains the path to a directory that has files in raster format. These files will be combined into binned format data.
`save_prefix_name`	A string with a prefix that will be used name of file that contains the saved binned format data.
`bin_width`	A number that has the bin width that data should be averaged over.
`sampling_interval`	A number that has the specifies the sampling interval between successive binned data points.
`start_time`	A number that specifies at which time should the binning start. By default it starts at the first time in the raster data.
`end_time`	A number that specifies at which time should the binning end. By default is to end at the last time in the raster data.
`files_contain`	A string that specifies that only raster files that contain this string should be included in the binned format data.

# create binned data with 150 ms bin sizes sampled at 10 ms intervals
raster_dir_name <- file.path(
  "..", "data-raw", "raster",
  "Zhang_Desimone_7objects_raster_data_rda", ""
)
## Not run: 
binned_file_name <- create_binned_data(raster_dir_name, "ZD", 150, 50)

## End(Not run)