It works just the same as matrices:
> z <- zoo(cbind(a = c(1, NA, 3), b = c(NA, 10, 11)))
> z[is.na(z)] <- 999
> z
a b
1 1 999
2 999 10
3 3 11
>
There are also a number of other methods for handling NAs in zoo:
na.approx
na.contiguous
na.locf
na.spline
na.trim
and na.stinterp in the stinepack package.
On Thu, Mar 6, 2008 at 8:09 AM, stephen sefick <[EMAIL PROTECTED]> wrote:
> This is the same set of data that I have been working with for those
> in the know. it is a matrix of ~174 columns and ~70,000 rows. I have
> it as a zoo object, but I could read it in as just a matrix as long as
> the date time stamp won't be corrupted.
>
> here is an example of what a column would look like:
> 1/1/06 12:00, 1, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 3, 4, 5,6 ,7, NA
> #read in with the following thanks to Gabor
> # chron
> > library(chron)
> > fmt.chron <- function(x) {
> + chron(sub(" .*", "", x), gsub(".* (.*)", "\\1:00", x))
> + }
> > z1 <- read.zoo("all.csv", sep = ",", header = TRUE, FUN = fmt.chron)
> #this part works just fine and I can plot and analyze data till my
> hearts content
>
> I need to replace NA (~700,000+) with the numeric value 9999 for a
> beam forming exercise that we are conducting with a geophysicist in
> matlab. I can't get it into excel in the present form because it is
> too big. I was wondering if there was an easy way to do such a thing
> in R?
>
> I tried the following:
>
> dat <- sapply(z1, function(x) {x[is.na(x)] <- 9999; x})
>
> and I got the following error:
>
> Error in array(unlist(answer, recursive = FALSE), dim = c(common.len, :
> 'dim' specifies too large an array
>
> thanks for the help
>
> Stephen
>
> --
> 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
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
