Displaying 3 results from an estimated 3 matches for "modelfun".
2012 Nov 07
5
Calling R object from R function
...inData,TestData,mdat,nsam) {
ls <- list()
I have few statments one of them is
vectx <- c(,1,2,3,4,5,6,6)
vectz <- c(12,34,5,6,78,9,90)
and then................
ls(vectx=vtecx,vectz=vectz)
return(ls)
}
Then I great an new function has the following arguments
get.m <- function(dat,asim,ModelFun,M){
Sim <- list()
modInd <- ModelFun(TrainData=dat,TestData=dat,mdat=dat,nsam=0.1) *# HERE IS
MY PROBLEM HOW CAN I JUST CALL vectx without fitting the ModelFun becasue as
you see in the bottom TrainData and Test are arguments used after
resampling. I dont want to use the main dat argument?*
i...
2004 Nov 08
2
Nonlinear weighted least squares estimation
Hi there,
I'm trying to fit a growth curve to some data and need to use a weighted least squares estimator to account for heteroscedasticity in the data. A weights argument is available in nls that would appear to be appropriate for this purpose, but it is listed as 'not yet implemented'. Is there another package which could implement this procedure?
Regards,
Robert Brown
2018 Jun 01
4
Regroup and create new dataframe
Hello folks,
I have a big project to work on and the dataset is classified so I am just
going to use my own example so everyone can understand what I am targeting.
Let's take Target as an example: We consider three brands of tape: Target
brand, 3M and Avery. The original data frame has 4 columns: Year of Record,
Product_Name(which contains three brands of tape), Sales, and Region. I
want to