Also, the OP's FUN1 is NOT a function. It's the result of a function
call. A function would be
FUN1 <- function(x) EM_mixture_copula(...)
Hope this helps,
Rui Barradas
Em 11-03-2017 10:29, Michael Hannon escreveu:
I think Bert's advice is sound. Let me add a few, miscellaneous comments:
(1) Some people find "by" easier than "tapply".
(2) The "apply" function can, as I'm sure you (Bert) know, iterate
over a matrix.
(3) Hadley probably has better ways to do all of this (it's hard to keep up).
-- Mike
On Fri, Mar 10, 2017 at 9:22 PM, Bert Gunter <bgunter.4...@gmail.com> wrote:
In short, you really need to study the Help files carefully for both,
as you are using both tapply and lapply incorrectly. If that doesn't
work, I think you should spend some time with one of the many
excellent R tutorials on the web. You need to beef up your
understanding of the syntax.
But briefly:
1) the tapply call must be of the form tapply(x, fac, fun) where x is
atomic (i.e. a vector) and fac is a factor that splits x into groups.
You have obviously got the call all wrong.
2) And in the second, X must be a list or vector, not a matrix and the
function needs to have its elements as an argument, something like FUN
= function(x)FUN1(x, ... your other arguments...)
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Mar 10, 2017 at 2:40 PM, Fadhah <fadeh2...@gmail.com> wrote:
Dear all,
Thank you in advance for your time and help. I quite new to R and face a
problem with lapply and tapply functions.
I simulated data and run the simulation 10 times to get 10 different simulated
data. I have also built up my function and would like to apply this function to
these 10 different data without repeating the code for 10 times. I now that we
can use a loop family functions in R such as lapply or tapply functions. I
tried both of them but both of them did not work. My data was stored as vector
mode list.
Here is my data:
library(VineCopula)
library(copula)
Runs= 10 Saveas = vector(mode = "list", length = Runs)
pb <- txtProgressBar(min = 0, max = Runs, style = 3)
for(j in 1:Runs){
setTxtProgressBar(pb, j)
N=2000
dim=dim
U=runif(N, min=0,max=1)
X = matrix(NA, nrow=N, ncol=2)
inds <- U < 0.7
X[inds, ] <- rCopula(sum(inds), claytonCopula(1, dim=2))
X[!inds, ] <- rCopula(N - sum(inds), frankCopula(4, dim=2))
Saveas[[j]] = X }
Then I built my function. I would like to apply this function to the 10
simulation run. That is I have 10 simulated data and would like to run my
function to these data. I tried lapply and tapply function but I got errors.
This is my function:
FUN1 <- EM_mixture_copula(data = Saveas[[j]],pi_1=pi_1,pi_2=pi_2,theta = theta,
Theta=Theta, tol = .00001, maxit = 1000)
Here is my tries with the errors that I got:
result <- tapply(X,FUN1,simplify = T)
Error in tapply(X, FUN, simplify = T) : arguments must have same length.
Result <– lapply(X,FUN1)
Error in get(as.character(FUN), mode = "function", envir = envir) : object 'F'
of mode 'function' was not found.
Once I got the result, I would like to have a summary statistics of my function
for each run. So, can I use
Summary(result) ?
Any help, please?
Kinds regards,
Fadhah
Sent from my iPhone
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