plot.MEA {rMEA} | R Documentation |
Plots an object of class MEA
Description
Plots an object of class MEA
Usage
## S3 method for class 'MEA'
plot(x, from = 0, to = NULL, duration = NULL, ccf = F, rescale = F, ...)
Arguments
x |
an object of class |
from |
either an integer or a string in the format hh:mm:ss or mm:ss representing the starting second. |
to |
if |
duration |
if |
ccf |
either FALSE or a string representing the type of ccf to be overlayed. One of "all_lags" "s1_lead" "s2_lead" "lag_zero" "s1_lead_0" "s2_lead_0" "bestLag" "grandAver" "winTimes". |
rescale |
logical. Should the motion energy time-series be rescaled? |
... |
further arguments passed to |
Details
Note: if more of than 10s of trailing zeroes are found at the end of both s1 and s2 signals they are truncated.
Examples
## read a single file
path_normal <- system.file("extdata/normal/200_01.txt", package = "rMEA")
mea_normal <- readMEA(path_normal, sampRate = 25, s1Col = 1, s2Col = 2,
s1Name = "Patient", s2Name = "Therapist", skip=1,
idOrder = c("id","session"), idSep="_")
mea_normal <- MEAccf(mea_normal, lagSec = 5, winSec = 30, incSec = 10, ABS = FALSE)
## Visual inspection of the data
plot(mea_normal[[1]], from = 60, to = "2:00")
plot(mea_normal[[1]], from = 0, duration = "5:00")
#' ## Visualize CCF inspection of the data
plot(mea_normal[[1]], from = 0, duration = "2:00", ccf = "lag_zero", rescale=TRUE)