Actually, let's set it
grid_new.l <- list(abcissa=c(-15.0,-14.5),ordinate=y)
to avoid out of bounds
On Tue, Dec 25, 2018 at 4:41 PM M P wrote:
> Thanks, Eric, for looking into that.
> The values are below and since I subset the new abcissa is smaller range
> grid_new.l <-
rmatted emails are not passed
> along.
>
>
>
> On Tue, Dec 25, 2018 at 4:13 AM M P wrote:
>
>> Hello,
>> I used commands below to obtain a surface, can plot it and all looks as
>> expected.
>> How do I evaluate values at new point. I tried as below but
Hello,
I used commands below to obtain a surface, can plot it and all looks as
expected.
How do I evaluate values at new point. I tried as below but that produces
errors.
Thanks for suggestions/help.
x <- log(lambda)
y <- rh
z <- qext[,,2]
grid.l <- list(abcissa=x,ordinate=y)
xg <- make.surface.g
Hello,
It should be easu but I cannot figure out how to use apply function. I am
trying to replace negative values in an array with these values + 24.
Would appreciate help. Thanks,
Mark
shours <- apply(fhours, function(x){if (x < 0) x <- x+24})
Error in match.fun(FUN) : argument "FUN" is missing,
Thats works perfectly, thanks a lot,
Mark
On Thu, Dec 13, 2012 at 11:34 AM, arun wrote:
> Hi,
> Try this:
> seq1<-seq(from=as.POSIXct("2012-05-30
> 18:30:00",tz="UTC"),to=as.POSIXct("2012-05-31 02:30:00",tz="UTC"),by="1
> hour")
> seq2<-seq(from=as.POSIXct("2012-05-31
> 00:30:00",tz="UTC"),to=as
Hello,
my series of dates look like
[1] "2012-05-30 18:30:00 UTC" "2012-05-30 19:30:00 UTC"
[3] "2012-05-30 20:30:00 UTC" "2012-05-30 21:30:00 UTC"
[5] "2012-05-30 22:30:00 UTC" "2012-05-30 23:30:00 UTC"
[7] "2012-05-31 00:30:00 UTC" "2012-05-31 01:30:00 UTC"
[9] "2012-05-31 02:30:00 UTC
Hello,
I have a problem writing a variable to an existing file.
Below is a part of my script and how it fails.
I can't find "create.var.ncdf" in help
Thanks for any help.
Mark
nc <- open.ncdf(ncname, readunlim=FALSE, write=TRUE )
missing <- 1.e+30
xdim <- nc$dim[["west_east"]]
ydim <- nc$dim[["s
Hello,
I used "correlogram" from "spatial" package to determine correlation scale
for my data but just looking with bare eye it seems that the correlation
scale varies over the domain.
Can someone suggest what would the best way to handle that problem?
Thanks,
Mark
[[alternative HTML versi
No, that's not my homework. Does that seem so easy?
Mark
Rolf Turner <[EMAIL PROTECTED]> wrote:
On 26/10/2007, at 10:14 AM, m p wrote:
> Hello,
> I'd like to check if my data can be well approximated with a function
> (1+x/L) exp(-x/L)
> and calculate the bes
Hello,
I'd like to check if my data can be well approximated with a function
(1+x/L) exp(-x/L)
and calculate the best value for L. Is there some package in R that would
simplify that task?
Thanks,
Mark
__
[[alternative HTML version de
10 matches
Mail list logo