[R] How to estimate the parameter for many variable?
SITI AISYAH ZAKARIA
@|@y@hz@k@r|@ @end|ng |rom un|m@p@edu@my
Fri Jul 9 01:59:21 CEST 2021
Dear all,
Thank you very much for the feedback.
Sorry for the lack of information about this problem.
Here, I explain again.
I use this package to run my coding.
library(ismev)
library(mgcv)
library(nlme)
The purpose of this is I want to get the value of parameter estimation
using MLE by applying the GEV distribution.
x <- data.matrix(Ozone_weekly2) x refers to my data
that consists of 19 variables. I will attach the data together.
x
head(gev.fit)[1:4]
ti = matrix(ncol = 3, nrow = 888)
ti[,1] = seq(1, 888, 1)
ti[,2]=sin(2*pi*(ti[,1])/52)
ti[,3]=cos(2*pi*(ti[,1])/52)
*for(i in 1:nrow(x)) + { for(j in 1:ncol(x))
the problem in here, i don't no to create the coding. i target my
output will come out in matrix that + {x[i,j] = 1}}
show the parameter estimation for 19 variable which have
19 row and 3 column*
* row -- refer
to variable (station) ; column -- refer to parameter estimation for GEV
distribution*thank you.
On Thu, 8 Jul 2021 at 18:40, Rui Barradas <ruipbarradas using sapo.pt> wrote:
> Hello,
>
> Also, in the code
>
> x <- data.matrix(Ozone_weekly)
>
> [...omited...]
>
> for(i in 1:nrow(x))
> + { for(j in 1:ncol(x))
> + {x[i,j] = 1}}
>
> not only you rewrite x but the double for loop is equivalent to
>
>
> x[] <- 1
>
>
> courtesy R's vectorised behavior. (The square parenthesis are needed to
> keep the dimensions, the matrix form.)
> And, I'm not sure but isn't
>
> head(gev.fit)[1:4]
>
> equivalent to
>
> head(gev.fit, n = 4)
>
> ?
>
> Like Jim says, we need more information, can you post Ozone_weekly2 and
> the code that produced gev.fit? But in the mean time you can revise your
> code.
>
> Hope this helps,
>
> Rui Barradas
>
>
> Às 11:08 de 08/07/21, Jim Lemon escreveu:
> > Hi Siti,
> > I think we need a bit more information to respond helpfully. I have no
> > idea what "Ozone_weekly2" is and Google is also ignorant. "gev.fit" is
> > also unknown. The name suggests that it is the output of some
> > regression or similar. What function produced it, and from what
> > library? "ti" is known as you have defined it. However, I don't know
> > what you want to do with it. Finally, as this is a text mailing list,
> > we don't get any highlighting, so the text to which you refer cannot
> > be identified. I can see you have a problem, but cannot offer any help
> > right now.
> >
> > Jim
> >
> > On Thu, Jul 8, 2021 at 12:06 AM SITI AISYAH ZAKARIA
> > <aisyahzakaria using unimap.edu.my> wrote:
> >>
> >> Dear all,
> >>
> >> Can I ask something about programming in marginal distribution for
> spatial
> >> extreme?
> >> I really stuck on my coding to obtain the parameter estimation for
> >> univariate or marginal distribution for new model in spatial extreme.
> >>
> >> I want to run my data in order to get the parameter estimation value
> for 25
> >> stations in one table. But I really didn't get the idea of the correct
> >> coding. Here I attached my coding
> >>
> >> x <- data.matrix(Ozone_weekly2)
> >> x
> >> head(gev.fit)[1:4]
> >> ti = matrix(ncol = 3, nrow = 888)
> >> ti[,1] = seq(1, 888, 1)
> >> ti[,2]=sin(2*pi*(ti[,1])/52)
> >> ti[,3]=cos(2*pi*(ti[,1])/52)
> >> for(i in 1:nrow(x))
> >> + { for(j in 1:ncol(x))
> >> + {x[i,j] = 1}}
> >>
> >> My problem is highlighted in red color.
> >> And if are not hesitate to all. Can someone share with me the procedure,
> >> how can I map my data using spatial extreme.
> >> For example:
> >> After I finish my marginal distribution, what the next procedure. It is
> I
> >> need to get the spatial independent value.
> >>
> >> That's all
> >> Thank you.
> >>
> >> --
> >>
> >>
> >>
> >>
> >>
> >> "..Millions of trees are used to make papers, only to be thrown away
> >> after a couple of minutes reading from them. Our planet is at stake.
> Please
> >> be considerate. THINK TWICE BEFORE PRINTING THIS.."
> >>
> >> DISCLAIMER: This email \ and any files transmitte...{{dropped:24}}
> >>
> >> ______________________________________________
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> >> and provide commented, minimal, self-contained, reproducible code.
> >
> > ______________________________________________
> > R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
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> > and provide commented, minimal, self-contained, reproducible code.
> >
>
--
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after a couple of minutes reading from them. Our planet is at stake. Please
be considerate. THINK TWICE BEFORE PRINTING THIS.."
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