rotation2dAnimation: Cretaes video by FFmpeg with animation of dataset rotated

In mdsOpt: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data

Cretaes video by FFmpeg with animation of dataset rotated

Description

This function opens a graphics device to record the images produced in the code expr, then uses FFmpeg to convert these images to a video.

Usage

rotation2dAnimation(conf2d,
ani.interval=0.2,
ani.nmax=361,
ani.width=500,
ani.height=500,
ani.video.name="mds_rotate.mp4",
angle.start=-pi,
angle.stop=pi,
angle.step=pi/180)

Arguments

conf2d	two dimensional dataset ot matrix
ani.video.name	the file name of the output video (e.g. ‘animation.mp4’ or ‘animation.avi’)
ani.interval	interval betwwen animation frames
ani.nmax	maximal number of frames
ani.width	width of movie
ani.height	height of movie
angle.start	starting angle for animation
angle.stop	end angle for animation
angle.step	step of animation in radians

Details

This function uses system to call FFmpeg to convert the images to a single video. The command line used in this function is: ffmpeg -y -r <1/interval> -i <img.name>%d.<ani.type> other.opts video.name

where interval comes from ani.options('interval'), and ani.type is from ani.options('ani.type'). For more details on the numerous options of FFmpeg, please see the reference.

Some linux systems may use the alternate software 'avconv' instead of 'ffmpeg'. The package will attempt to determine which command is present and set ani.options('ffmpeg') to an appropriate default value. This can be overridden by passing in the ffmpeg argument.

Value

An integer indicating failure (-1) or success (0) of the converting (refer to system).

Author(s)

Marek Walesiak [e-mail], Andrzej Dudek [e-mail]

Department of Econometrics and Computer Science, Wroclaw University of Economics and Business, Poland http://keii.ue.wroc.pl/mdsOpt/

References

Walesiak, M. (2016), Visualization of Linear Ordering Results for Metric Data with the Application of Multidimensional Scaling, Ekonometria, 2(52), 9-21. Available at: doi: 10.15611/ekt.2016.2.01.

Walesiak, M. (2017), The application of multidimensional scaling to measure and assess changes in the level of social cohesion of the Lower Silesia region in the period 2005-2015, Ekonometria, 3(57), 9-25. Available at: doi: 10.15611/ekt.2017.3.01.

Walesiak, M., Dudek, A. (2017), Selecting the Optimal Multidimensional Scaling Procedure for Metric Data with R Environment, STATISTICS IN TRANSITION new series, September, Vol. 18, No. 3, pp. 521-540.

http://ffmpeg.org/documentation.html

See Also

Other utilities: im.convert, saveGIF, saveHTML, saveLatex, saveSWF

Examples

  
  library(mdsOpt)
  library(smacof)
  library(animation)
  library(spdep)
  library(clusterSim)
  data(data_lower_silesian)
  z<-data.Normalization(data_lower_silesian, type="n1")
  d<-dist.GDM(z, method="GDM1")
  res<-smacofSym(delta=d,ndim=2,type="interval")
  konf<-as.matrix(res$conf)
  rotation2dAnimation(conf2d=konf,angle.start=-0,angle.stop=2*pi)
  

mdsOpt documentation built on June 26, 2022, 5:05 p.m.