You may also want to check this out:
plot(ttt, type = "p")
points(ttt, col = ifelse(ttt < 8, "black", "red"))
Eivind K. Dovik
Bergen, NO
On Tue, 1 May 2018, Christopher W Ryan wrote:
Excellent! Worked like a charm. Thanks.
--Chris Ryan
On Tue, May 1, 2018 at 4:33 PM, William Dunlap <wdun...@tibco.com> wrote:
The ts method for plot() is quirky. You can use the default method:
plot(as.vector(time(ttt)), as.vector(ttt), type = "p", col=ifelse(ttt<8,
"black", "red"))
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Tue, May 1, 2018 at 1:17 PM, Christopher W Ryan <cr...@binghamton.edu>
wrote:
How would I color points conditional on their value in a plot of a time
series. Something like this:
## demonstration data
ttt <- ts(rpois(12, lambda = 8), start = c(2000, 1), freq = 4)
ttt
plot(ttt, type = "p")
## doesn't work--all points the same color
plot(ttt, type = "p", col = ifelse(ttt < 8, "black", "red"))
## also doesn't work--all points the same color
q <- as.numeric(ttt)
q
plot(ttt, type = "p", col = ifelse(q < 8, "black", "red"))
## works OK with a simple, non-time-series scatterplot, as in
sss <- data.frame(x = rpois(12, lambda = 8), y = rnorm(12, mean = 100, sd
=
25))
with(sss, plot(y ~ x, col = ifelse(y > 100, "black", "red")))
## but I am missing something about time series.
Thanks.
--Chris Ryan
Broome County Health Department
and Binghamton University
Binghamton, NY
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