Adding jitter on large data set - ggplot2

Asked May 05 '16 at 22:15

Active Sep 21 '17 at 21:50

Viewed 298 times

I am trying to apply jitter while plotting with ggplot2 as follows:

timeClusterPlot <-ggplot(timeClusterDf, aes(Location,time)) + labs(x='Location', y='Time') timeClusterPlot <- timeClusterPlot + geom_point(aes(colour=cluster),position=position_jitter(w=0.01,h=0.01)) Here is the result:

Due to the size of my data set, the density of points are so high that I think when applying jitter, there isn't enough sparsity to get the result I am looking for unless I severely increase the height and the width parameters. Any suggestions?

edited Sep 22 '17 at 17:44

Community

asked May 05 '16 at 22:15

user2253546

1

Add transparency (set, for example, `alpha=0.2` in `geom_point`). You could also plot a random sample of points rather than all of them. – eipi10 May 05 '16 at 22:22
1

Yep, transparency, and maybe make the points smaller so there's less overlap. – alistaire May 05 '16 at 23:28
Yes randomly sampling and adjusting transparency should help! Thanks you :) – user2253546 May 06 '16 at 17:30

Adding jitter on large data set - ggplot2

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