video.RdProduces an MP4 video file by animating telemetry objects.
telemetry object or list of telemetry objects.
Plot extent for all frames.
Frames per viewed second.
Tracked time per frame (not per viewed second). By default, the median timestep will be used.
Timescale over which image retention (ghosting) decays.
Display timestamps on title.
File name for MP4 file to save. The full path can also be specified. Otherwise the working directory will be used.
Pixel resolution for square videos or pixel c(width,height) for rectangular videos.
Color option for telemetry data. Can be an array or list of arrays.
Plotting symbol. Can be an array or list of arrays.
Relative size of plotting symbols. Only used when errors are missing.
Line widths of telemetry points.
List of additional arguments passed to par within animate that do not work outside of animate, like mar.
Additional options passed to plot.telemetry.
This function does not interpolate locations to make smooth animations. For that, please use predict or simulate outputs instead of a raw tracking data.
Saves an MP4 file named file to the working directory.
Further animation and ffmpeg options can be set via ani.options.
# \donttest{
# Load package and data
library(ctmm)
data(coati)
# temporary file to store videos for CRAN compliance
FILE <- tempfile("ctmm",fileext=".mp4")
# you will likely want to save your video elsewhere
# the working directory is the default location
# create guess object
GUESS <- ctmm.guess(coati[[2]],interactive=FALSE)
# in general, use ctmm.select instead of ctmm.fit
FIT <- ctmm.fit(coati[[2]],GUESS)
# consider a few hours of consecutive sampling, at 1 minute per frame
t <- seq(coati[[2]]$t[19],coati[[2]]$t[27],by=60)
# tau[velocity] is a natural scale to demonstrate persistance of motion
ghost <- FIT$tau[2]
# predicted locations each minute
PRED <- predict(coati[[2]],FIT,t=t)
# most likely path
video(PRED,error=FALSE,pch=16,ghost=ghost,file=FILE)
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#> Executing: 'ffmpeg' -y -framerate 60 -i Rplot%d.png -pix_fmt yuv420p ctmm172635b6ee08.mp4
#>
#>
#> Video has been created at: /tmp/RtmpWKdDQj/ctmm172635b6ee08.mp4
# prediction (distribution)
video(PRED,error=3,file=FILE)
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#> Executing: 'ffmpeg' -y -framerate 60 -i Rplot%d.png -pix_fmt yuv420p ctmm172635b6ee08.mp4
#>
#>
#> Video has been created at: /tmp/RtmpWKdDQj/ctmm172635b6ee08.mp4
# conditional simulations
SIMS <- lapply(1:6,function(i){simulate(coati[[2]],FIT,t=t)})
# random paths
video(SIMS,pch=16,ghost=ghost,file=FILE)
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#> Executing: 'ffmpeg' -y -framerate 60 -i Rplot%d.png -pix_fmt yuv420p ctmm172635b6ee08.mp4
#>
#>
#> Video has been created at: /tmp/RtmpWKdDQj/ctmm172635b6ee08.mp4
# }