Summarize important info from work loop files stored in the same folder
(e.g. a sequence of trials in an experiment) including experimental
parameters, run order, and mtime.
Arguments
- wl_list
List of
analyzed_workloopobjects, preferably one created byread_analyze_wl_dir().
Value
A data.frame of information about the collection of workloop files.
Columns include:
- File_ID
Name of the file
- Cycle_Frequency
Frequency of Position change
- Amplitude
amplitude of Position change
- Phase
Phase of the oscillatory cycle (in percent) at which stimulation occurred. Somewhat experimental, please use with caution
- Stimulus_Pulses
Number of stimulation pulses
- mtime
Time at which file's contents were last changed (
mtime)- Mean_Work
Mean work output from the selected cycles
- Mean_Power
Net power output from the selected cycles
Details
If several files (e.g. successive trials from one experiment) are
stored in one folder, use this function to obtain summary stats and
metadata and other parameters. This function requires a list of
analyze_workloop objects, which can be readily obtained by first
running read_analyze_wl_dir() on a specified directory.
References
Josephson RK. 1985. Mechanical Power output from Striated Muscle during Cyclic Contraction. Journal of Experimental Biology 114: 493-512.
See also
read_analyze_wl_dir,
get_wl_metadata,
time_correct
Other workloop functions:
analyze_workloop(),
fix_GR(),
get_wl_metadata(),
invert_position(),
read_analyze_wl_dir(),
read_analyze_wl(),
select_cycles(),
time_correct()
Other batch analyses:
get_wl_metadata(),
read_analyze_wl_dir(),
time_correct()
Examples
library(workloopR)
# batch read and analyze files included with workloopR
analyzed_wls <- read_analyze_wl_dir(system.file("extdata/wl_duration_trials",
package = 'workloopR'),
phase_from_peak = TRUE,
cycle_def = "p2p",
keep_cycles = 2:4
)
# now summarize
summarized_wls <- summarize_wl_trials(analyzed_wls)