#I would like to interpolate a straight line between 06/08/06 04:16:00 -
06/08/06 20:31:00 with values and then sum them. This is an estimate of
ecosystem #respiration and I will be using this in a larger context(48 days
of these diurnal curves), but for right now I am just trying to figure out
how to do it for this one #day example. I have some other code for
Ecosystem (stream) Metabolism that I am trying to work up into a package,
but I am still assembling the pieces.
#thanks for all of your help
library(chron)
library(zoo)
z <- 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")
plot(z)
--
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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