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    <p>If you want to do an animation then there is the animation package, or an animate contrel for the GUI created using the <code>tkexamp</code> function in the TeachingDemos package. You could enhance the animation by plotting the last several points with a color gradient using <code>color.scale.lines</code> from the plotrix package.</p> <p>Here is an example:</p> <pre><code>library(TeachingDemos) library(plotrix) tmpfun &lt;- function(start,numpoints=10) { plot(ccc$Lon,ccc$Lat, xlab='Longitute', ylab='Lattitude', type='n') to &lt;- min(nrow(ccc), start+numpoints) color.scale.lines( ccc$Lon[start:to], ccc$Lat[start:to], c(0.7,0), c(0.7,0), c(0.7,0), colvar=seq_len(numpoints) ) } tmplist &lt;- list( numpoints=list('spinbox', init=10, from=1, to=nrow(ccc)), start=list('animate',init=1, from=1, to=nrow(ccc)) ) tkexamp( tmpfun, tmplist ) </code></pre> <p>Here is a second example that takes time into account:</p> <pre><code>tmpfun2 &lt;- function(start, dur=120) { time &lt;- as.numeric(h2h$Time3) fr &lt;- which( time &gt;= start )[1] if( is.na(fr) ) fr &lt;- nrow(h2h)-1 to &lt;- which( time &gt;= start+dur )[1] if( is.na(to) ) to &lt;- nrow(h2h) plot(h2h$Lon, h2h$Lat, xlab='Longitute', ylab='Lattitude', type='n', main=paste('Times',time[fr],'to',time[to]) ) color.scale.lines( h2h$Lon[fr:to], h2h$Lat[fr:to], c(0.7,0), c(0.7,0), c(0.7,0), colvar=time[fr:to]) } tmplist2 &lt;- list( dur=list('spinbox', init=120, from=10, to=1200), start=list('animate',init=0, from=0, to=1780, delay=100, resolution=10) ) tkexamp( tmpfun2, tmplist2 ) </code></pre> <p>Playing around with the colors in either example may give a more meaningful color gradient.</p>
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    1. POIn R, how can I plot x,y values over time (3D or animation)?
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    1. COThat solution animates X and Y nicely. However, it ignores the time aspect. Is there a way to incorporate Time into the playback?
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    2. COOne simple option to include time is to change the `colvar` argument in `color.scale.lines` to your time variable. You could also change the tmpfun function so that it subsets on a starting time and time interval rather than point indexes.
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