You can do this with the animation package. Install the package and then
# Load the package
library(animation)
# This representation makes your data more portable using the dput() function:
pen <- structure(list(x = c(1073L, 1072L, 1066L, 1052L, 1030L, 1009L,
994L), y = c(1058L, 1085L, 1117L, 1152L, 1196L, 1242L, 1286L),
time = c(769.05, 769.07, 769.08, 769.1, 769.12, 769.13, 769.14
)), .Names = c("x", "y", "time"), class = "data.frame", row.names = c("1",
"2", "3", "4", "5", "6", "7"))
# Compute the time between each step
diftime <- diff(pen$time)
# Draw a blank plot window using the ranges for x and y
with(pen, plot(NA, xlim=c(min(x), max(x)), ylim=c(min(y), max(y)),
xlab="", ylab="", axes=FALSE))
# Pause for a second
ani.pause(1)
# Draw the curve pausing between points.
for(i in 1:6) {
ani.pause(diftime[i]*10) # Multiply by ten to slow things down
segments(pen$x[i], pen$y[i], pen$x[i+1], pen$y[i+1])
}
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of AjayT
Sent: Tuesday, March 3, 2015 8:59 AM
To: r-help@r-project.org
Subject: [R] 2D Timeseries trace plot
Hi,
I've got a 2D timeseries of handwriting samples,
x y time
1 1073 1058 769.05
2 1072 1085 769.07
3 1066 1117 769.08
4 1052 1152 769.10
5 1030 1196 769.12
6 1009 1242 769.13
7 994 1286 769.14
upto 500
I was just wondering how to plot this as an animation, so that the points
join up as they are rendered in time. Basically showing how the person who
generated the data writes.
The time index is not regular and if possible I'd like to avoid padding the
data with duplicate entries if this is avoidable. For example adding a
duplicate of the first row, for a 'padded' time 769.06.
Thanks alot for your help :)
--
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______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
