Excellent. Thank you. I have been messing around with loess() but this
looks quicker. Thanks,
Matt
On Wed, Jun 17, 2009 at 4:07 PM, Gabor
Grothendieck wrote:
> The zoo package has a number of na.* routines:
>
>> library(zoo)
>> x <- c(2,3,NA,NA,NA,3.2,3.5,NA,NA,6,NA)
>> na.approx(x)
> [1] 2.
The zoo package has a number of na.* routines:
> library(zoo)
> x <- c(2,3,NA,NA,NA,3.2,3.5,NA,NA,6,NA)
> na.approx(x)
[1] 2.00 3.00 3.05 3.10 3.15 3.20 3.50 4.33
[9] 5.17 6.00
> na.locf(x)
[1] 2.0 3.0 3.0 3.0 3.0 3.2 3.5 3.5 3.5 6.0 6.0
> na.spline(x)
[
Hi all,
I have a vector, most of which is missing. The data is always
increasing, but may do so in jumps. I would like to interpolate the
NAs with 'best guesses', using something like filter(), which doesn't
work due to the NAs. Here is an example:
> x <- c(2,3,NA,NA,NA,3.2,3.5,NA,NA,6,NA)
> x
[
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