Dear Rui and Jim,
Thank you very much for your feedback.
Yes, now I get the output. And after this I will use this output as the
marginal distribution to continue the analysis on spatial extremes.
Thanks again. See you later.
On Fri, 9 Jul 2021 at 17:18, Rui Barradas wrote:
> Hello,
>
> With
Dear Rui ang Jim,
Thank you very much.
Thank you Rui Barradas, I already tried using your coding and I'm grateful
I got the answer.
ok now, I have some condition on the location parameter which is cyclic
condition.
So, I will add another 2 variables for the column.
and the condition for locati
Hello,
With the condition for the location it can be estimated like the following.
fit_list2 <- gev_fit_list <- lapply(Ozone_weekly2, gev.fit, ydat = ti,
mul = c(2, 3), show = FALSE)
mle_params2 <- t(sapply(fit_list2, '[[', 'mle'))
# assign column names
colnames(mle_params2) <- c("location",
Hello,
The following lapply one-liner fits a GEV to each column vector, there
is no need for the double for loop. There's also no need to create a
data set x.
library(ismev)
library(mgcv)
library(EnvStats)
Ozone_weekly2 <- read.table("~/tmp/Ozone_weekly2.txt", header = TRUE)
# fit a GEV to
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 appl
Hi Siti,
I think some progress has been made. You have a data set with 888 rows
and 19 columns:
ow2<-read.table("Ozone_weekly2.txt",
header=TRUE)
dim(ow2)
[1] 888 19
The values may be parts per million ozone in the atmosphere. The
columns may represent different measuring locations and my gues
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 t
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
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 val
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