We can generate multiple plots and they then form an animation. For
this to work, we use the knitr (Xie 2022) option
"animate". For the LaTeX processing we then need
to attach the
To view the animation live we need to use Acrobat Reader to view the PDF file.
This example comes from http://taiyun.github.io/blog/2012/07/k-means/.
library(animation) par(mar=c(3, 3, 1, 1.5), mgp=c(1.5, 0.5, 0), bg="white") <- 1.5 * c(1, 1, -1, -1, 1, -1, 1, -1) cent <- NULL x for (i in 1:8) x <- c(x, rnorm(25, mean=cent[i])) <- matrix(x, ncol=2) x colnames(x) <- c("X1", "X2") kmeans.ani(x, centers=4, pch=1:4, col=1:4)
Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0