[R] filling NA gaps according to previous data mean and following data mean

[jeff6868]

Hi everybody,

I have a little problem about filling some gaps of NAs in my data.

These gaps are between nearly constant data (temperature under snow). Here's
a fake example to illustrate how it looks like approximately:

DF <-
data.frame(data=c(-0.51,-0.51,-0.48,-0.6,-0.54,-0.38,-0.6,-0.42,NA,NA,NA,NA,NA,NA,NA,
-0.25,-0.41,-0.5,-0.5,-0.35,-0.7,-1,-0.87))

I would like to replace my NAs with "0" with this condition:
Fill the gap with "0" if the mean of the 5 previous values before the gap
(NA) is under 0°C, AND if the mean of the 5 following values after the gap
(NA) is also under 0°C (actually it's not the 5 previous and following
values in my real data, it's my 500 previous and following values, but let's
juste take the 5 ones in my example).

I think that the nearest function for doing this is the "na.locf" function
of the package zoo, but it does not really do what I want.

Can somebody help me to resolve this?
Thanks a lot guys!






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