Hello Baptiste and others,
I tried your example with my dataset, and for a few days I thought it worked
for me. But I realized yesterday that the result wasn't quite what I hoped
for. In my actual data the flows aren't perfectly sinusoidal, and I used a
series of ifelse queries to code the flows into their different categories
(i.e., extremely high, high, low, extremely low). Your solution almost
worked, except that some flows are coloured incorrectly. I think the issue
lies in the use of the "transform" or "approx" functions. I tried to
understand what they do, but I wasn't able to figure it out.
Is there a way to use the exact data set, i.e.:
date=c(1:300)
flow=sin(2*pi/53*c(1:300))
levels=c(rep(c("high","med","low"),100))
data=cbind.data.frame(date, flow, levels)
With the following colours:
colour=ifelse(data$levels=="high","red",
ifelse(data$levels=="med","green",
ifelse(data$levels=="low","blue","")))
And plot a line without having to create new data, i.e. "d"?
Thank you.
-Pam
[email protected]
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