day<-structure(c(7.7, 7.7, 7.7, 7.7, 7.7, 7.71, 7.7, 7.71, 7.71, 7.7,
7.7, 7.7, 7.7, 7.69, 7.68, 7.68, 7.67, 7.67, 7.67, 7.66, 7.65,
7.65, 7.65, 7.64, 7.64, 7.63, 7.63, 7.63, 7.62, 7.62, 7.62, 7.62,
7.63, 7.63, 7.63, 7.63, 7.63, 7.64, 7.64, 7.65, 7.65, 7.65, 7.66,
7.66, 7.67, 7.67, 7.67, 7.68, 7.68, 7.69, 7.69, 7.69, 7.69, 7.7,
7.7, 7.7, 7.7, 7.7, 7.71, 7.7, 7.7, 7.71, 7.71, 7.7, 7.7, 7.7,
7.7, 7.7, 7.7, 7.7, 7.69, 7.68, 7.68, 7.68, 7.67, 7.67, 7.66,
7.66, 7.66, 7.66, 7.65, 7.65, 7.65, 7.65, 7.66, 7.66, 7.66, 7.67,
7.67, 7.68, 7.68, 7.68, 7.68, 7.69, 7.69, 7.69), index =
structure(c(13307.0006944444,
13307.0111111111, 13307.0215277778, 13307.0319444444, 13307.0423611111,
13307.0527777778, 13307.0631944444, 13307.0736111111, 13307.0840277778,
13307.0944444444, 13307.1048611111, 13307.1152777778, 13307.1256944444,
13307.1361111111, 13307.1465277778, 13307.1569444444, 13307.1673611111,
13307.1777777778, 13307.1881944444, 13307.1986111111, 13307.2090277778,
13307.2194444444, 13307.2298611111, 13307.2402777778, 13307.2506944444,
13307.2611111111, 13307.2715277778, 13307.2819444444, 13307.2923611111,
13307.3027777778, 13307.3131944444, 13307.3236111111, 13307.3340277778,
13307.3444444444, 13307.3548611111, 13307.3652777778, 13307.3756944444,
13307.3861111111, 13307.3965277778, 13307.4069444444, 13307.4173611111,
13307.4277777778, 13307.4381944444, 13307.4486111111, 13307.4590277778,
13307.4694444444, 13307.4798611111, 13307.4902777778, 13307.5006944444,
13307.5111111111, 13307.5215277778, 13307.5319444444, 13307.5423611111,
13307.5527777778, 13307.5631944444, 13307.5736111111, 13307.5840277778,
13307.5944444444, 13307.6048611111, 13307.6152777778, 13307.6256944444,
13307.6361111111, 13307.6465277778, 13307.6569444444, 13307.6673611111,
13307.6777777778, 13307.6881944444, 13307.6986111111, 13307.7090277778,
13307.7194444444, 13307.7298611111, 13307.7402777778, 13307.7506944444,
13307.7611111111, 13307.7715277778, 13307.7819444444, 13307.7923611111,
13307.8027777778, 13307.8131944444, 13307.8236111111, 13307.8340277778,
13307.8444444444, 13307.8548611111, 13307.8652777778, 13307.8756944444,
13307.8861111111, 13307.8965277778, 13307.9069444444, 13307.9173611111,
13307.9277777778, 13307.9381944444, 13307.9486111111, 13307.9590277778,
13307.9694444444, 13307.9798611111, 13307.9902777778), format =
structure(c("m/d/y",
"h:m:s"), .Names = c("dates", "times")), origin = structure(c(1,
1, 1970), .Names = c("month", "day", "year")), class = c("chron",
"dates", "times")), class = "zoo")
#Mullholland ER daytime
# extract section of interest
w <- window(day, start=chron("6/8/6", "4:16:0"), end=chron("6/8/6",
"20:31:0"))
# zap all interior points with NA's and then fill back in using linear
interpolation
lin <- na.approx(replace(w, time(w) > start(w) & time(w) < end(w), NA))
# plot the 3 series on one screen
#plot(merge(day, w, lin), col = 1:3, screen = 1)
#can I do this with a command (generically?)? I am going to use this inside
of a function, and below is the result I would like.
d<- c(day[1:17,], lin, day[84:96,])
plot(d)
--
Let's not spend our time and resources thinking about things that are so
little or so large that all they really do for us is puff us up and make us
feel like gods. We are mammals, and have not exhausted the annoying little
problems of being mammals.
-K. Mullis
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