All functions
bash_merge	Merge all csv files within a directory into a single file
create_grouping_cols	Create a grouping column based on specified time buffer
create_metadata_cols	Takes a dataframe and file path and adds metadata to the dataframe
create_time_cols	Create POSIX-compliant columns for dt components (e.g., year, hour, month)
.count_data_lines	Convenience function that takes path and returns the number of observations
.list_dirs	A convenience wrapper for list.dirs() with our more common defaults
.parse_file_name	Given a file path (in the original format), returns metadata about path
keep_time_only	Simply subsets any given dataframe to only columns with "time" in the name
make_stripped_csv	Given a CSV file returns an identical file with only timestamp data
metabeiwe	metabeiwe an R package for analyzing Beiwe metadata
mkdir_p	Wrapper to make a directory (and subdirectories) if necessary
rename_time	Just rename the original time column (UTC time) to utc_orig
seq_date	Given a vector of Date objects, return a sequence from min to max
summarize_csv	Return metadata about a csv file
summarize_groupings	Summarize the groupings that you've already calculated
tidy_merge	Combine csv files into a single dataframe, removing sensor data