load_dam: Load DAMS data from one or several continuous text files

In rethomics/damr: Interface to Drosophila Activity Monitor System Result Files

Load DAMS data from one or several continuous text files

Description

Uses "linked metadata" to load data from either single beam (DAM2) or multibeam (DAM5) arrays.

Usage

load_dam(metadata, date_format = "%d %b %y", FUN = NULL, ...)

Arguments

metadata	data.table::data.table used to load data (see detail)
date_format	How dates are formatted in the DAM result files (see read_dam_file)
FUN	function (optional) to transform the data from each animal immediately after is has been loaded.
...	extra arguments to be passed to FUN

Details

The linked metadata should be generated using link_dam_metadata.

Value

A behavr::behavr table. In addition to the metadata, it contains the data, whith the columns:

• id – autogenerated unique identifier, one per animal

• t – time

• activity – number of beam crosses

References

• damr tutorial – how to use this function in practice

See Also

• behavr::behavr – the class of the resulting object

• read_dam_file – to load data from a single file (without metadata)

Examples

# This is where our toy data lives
root_dir <- damr_example_dir()

# Metadata already made for us.
# It defines condition and genotype of each animal
data(single_file_metadata)
print(single_file_metadata)
# Linking:
metadata <- link_dam_metadata(single_file_metadata, root_dir)

# We find and load the matching data
dt <- load_dam(metadata)
print(dt)
# An example of the use of FUN,
# we load only the first few reads by run `head()` on each animal,
# on the fly (no pun intended)
dt <- load_dam(metadata, FUN = head)
print(dt)

rethomics/damr documentation built on April 12, 2024, 12:29 p.m.