read_ddf reads in workloop, twitch, or tetanus experiment data from .ddf files.

read_ddf(file_name, file_id = NA, rename_cols = list(c(2, 3),
  c("Position", "Force")), skip_cols = 4:11, phase_from_peak = FALSE,
  ...)

Arguments

file_name

A .ddf file that contains data from a single workloop, twitch, or tetanus experiment

file_id

A string identifying the experiment. The file name is used by default.

rename_cols

List consisting of a vector of indices of columns to rename and a vector of new column names. See Details.

skip_cols

Numeric vector of column indices to skip. See Details.

phase_from_peak

Logical, indicating whether percent phase of stimulation should be recorded relative to peak length or relative to L0 (default)

...

Additional arguments passed to/from other functions that work with read_ddf()

Value

An object of class workloop, twitch, or tetanus, all of which inherit class muscle_stim. These objects behave like data.frames in most situations but also store metadata from the ddf as attributes.

The muscle_stim object's columns contain:

Time

Time

Position

Length change of the muscle, uncorrected for gear ratio

Force

Force, uncorrected for gear ratio

Stim

When stimulation occurs, on a binary scale

In addition, the following information is stored in the data.frame's attributes:
sample_frequency

Frequency at which samples were collected

pulses

Number of sequential pulses within a stimulation train

total_cycles_lo

Total number of oscillatory cycles (assuming sine wave trajectory) that the muscle experienced. Cycles are defined with respect to initial muscle length (L0-to-L0 as opposed to peak-to-peak).

amplitude

amplitude of length change (again, assuming sine wave trajectory)

cycle_frequency

Frequency of oscillations (again, assuming sine wave trajectory)

units

The units of measurement for each column in the data.frame. This might be the most important attribute so please check that it makes sense!

Details

Read in a .ddf file that contains data from an experiment. If position and force do not correspond to columns 2 and 3 (respectively), replace "2" and "3" within rename_cols accordingly. Similarly, skip_cols = 4:11 should be adjusted if more than 11 columns are present and/or columns 4:11 contain important data.

Please note that there is no correction for gear ratio or further manipulation of data. See fix_GR to adjust gear ratio. Gear ratio can also be adjusted prior to analyses within the analyze_workloop() function, the data import all-in-one function read_analyze_wl(), or the batch analysis all-in-one read_analyze_wl_dir().

Please also note that organization of data within the .ddf file is assumed to conform to that used by Aurora Scientific's Dynamic Muscle Control and Analysis Software. YMMV if using a .ddf file from another source. The as_muscle_stim() function can be used to generate muscle_stim objects if data are imported via another function. Please feel free to contact us with any issues or requests.

See also

Examples

library(workloopR) # import the workloop.ddf file included in workloopR wl_dat <-read_ddf(system.file("extdata", "workloop.ddf", package = 'workloopR'), phase_from_peak = TRUE) # or import your own file if (FALSE) { my_dat <- read_ddf("./my/file/path/myfile.ddf") }